Journal of Research, Innovation and Technologies

Journal of Research, Innovation and Technologies, 2026, Volume 5, Issue 1, Pages undefined: Development of an Offline RAG Chatbot for Answering Food Hygiene and Safety Questions Based on Vietnamese Legal Frameworks

duc viet hoang — 02-11-2026

Journal of Research, Innovation and Technologies, 2026, Volume 5, Issue 1, Pages undefined: The Prediction Trend of Production in Decision Support System Based on ARIMA-Artificial Intelligence

johanes fernandes andry — 02-08-2026

The Industrial Era 4.0 has seen industries start shifting towards implementing Decision Support System (DSS) in the manufacturing sector. Technological advancements have made it possible for the development of DSS to be based on Artificial Intelligence (AI) using past data generated by industry, especially in the furniture manufacturing industry. The furniture manufacturing industry is now faced with the challenge of Extreme Programming (XP) model complexity that hinders production and inventory management. The manufacturing industry finds it difficult to comprehend which industries to produce based on the current market trends. This research, therefore, seeks to comprehend how an AI-based DSS system can learn furniture model production trends. Based on such problems, this research can potentially assist in designing an AI-based DSS employing the Autoregressive Integrated Moving Average (ARIMA) model from the XP system development paradigm. This research is segmented into five phases, i.e., problem identification, decision model design, data collection and processing, system development and integration, and implementation. The delivery of this research is a list of best-selling furniture fads from market analysis generated through DSS. These findings are useful in the development of DSS, especially in AI to make predictions of furniture model trends.

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Journal of Research, Innovation and Technologies, 2026, Volume 5, Issue 1, Pages undefined: The Effect of Digital Leadership and Cloud Intelligence in Driving Organizational Innovation: The Mediating Role of Ethical Artificial Intelligence

fawwaz tawfiq awamleh — 02-04-2026

The study explores the link between digital leadership and cloud intelligence in the context of ethical artificial intelligence (EAI) in relation to three telecom operators in Jordan: Orange, Zain, and Umniah. A total of 424 e-questionnaires were also sent to managers (senior and junior) and staff. The results were processed using SmartPLS4 in PLS-SEM. These results demonstrate that we can develop improved cloud technology solutions to enhance our ethical AI capabilities. This ethical AI facilitates the mediating process in the link between digital leadership and business innovation. Findings lead telecom companies to be much more responsible and ethical in their responsiveness and trust-building with the help of AI-induced cloud intelligence. Finally, the results will summarize theoretical and empirical evidence about responsibility dimensions in AI innovation and data-intensive telecom companies. Along with other important variables such as innovation and integrity, the study emphasizes that telecom managers in today’s digital leadership era are expected to think ahead to ensure that both technological advancement and corporate social responsibility not only develop but genuinely prosper.

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Journal of Research, Innovation and Technologies, 2026, Volume 5, Issue 1, Pages undefined: From Automation to Policy Intelligence: A Comparative Study of Generative AI in Public Governance in China and the United States

kuong leong lei — 02-02-2026

Journal of Research, Innovation and Technologies, 2026, Volume 5, Issue 1, Pages undefined: Exploring Research on ChatGPT in Online Consumer Reviews: A Systematic Literature Review and Thematic Analysis

muhamad izaidi ishak — 01-26-2026

Journal of Research, Innovation and Technologies, 2026, Volume 5, Issue 1, Pages undefined: Digital Trust Formation in Gen-Z Wealth-Tech Adoption: The Influence of e-WOM, Engagement, and Influencers

edri fauzan — 01-22-2026

The rapid growth of wealth-tech platforms has intensified the importance of digital trust, particularly among Generation Z investors who rely heavily on social media–driven information sources when making investment-related decisions. While prior studies have examined influencer marketing, electronic word-of-mouth (e-WOM), and social media engagement in fintech contexts, empirical research that integrates these persuasion mechanisms into a unified trust-based model of wealth-tech adoption intention remains limited. Drawing on Source Credibility Theory, Trust Transfer Theory, and digital engagement frameworks, this study proposes and tests an integrative model in which influencer credibility, e-WOM, and social media engagement simultaneously influence wealth-tech adoption Intention through the mediating role of digital trust. Using survey data collected from 255 Generation Z actual users of wealth-tech platforms in Indonesia, this study employs Structural Equation Modelling (SEM) to simultaneously test the measurement model and the proposed trust-based structural relationships, including the mediating role of digital trust. A purposive sampling approach was adopted to ensure respondents possessed direct experience with wealth-tech applications, thereby enhancing construct validity in this specialized digital investment context. The results indicate that influencer credibility, e-WOM, and social media engagement each exert a significant positive effect on digital trust, which in turn strongly influences wealth-tech adoption Intention. Digital trust is found to play a critical mediating role, reinforcing its central importance in investment-oriented digital platforms characterized by heightened perceived risk. This study contributes to the literature by extending digital trust and fintech adoption research in three ways: (1) by integrating multiple digital persuasion mechanisms into a single trust-centered framework, (2) by empirically validating digital trust as a key mediating mechanism in a wealth-tech investment context, and (3) by providing contextual insights from an emerging market characterized by rapid digital adoption and persistent trust challenges. Practically, the findings offer guidance for wealth-tech platforms and digital marketers in designing trust-enhancing strategies targeting Generation Z investors.

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Journal of Research, Innovation and Technologies, 2026, Volume 5, Issue 1, Pages undefined: Metaverse and Augmented Reality in E-Commerce: Bibliometric Analysis and Thematic Exploration

fathey mohammed — 01-15-2026

Journal of Research, Innovation and Technologies, 2026, Volume 5, Issue 1, Pages undefined: QR Code Payment Acceptance and Its Impact on SMEs Sustainability Performance

mahendra adhi nugroho — 01-06-2026

The diffusion of contactless payment technologies has become a critical component of digital transformation strategies aimed at enhancing SME competitiveness in developing economies. Among these technologies, Quick Response (QR) Code Payment offers a low-cost and infrastructure-light solution, yet its adoption among SMEs remains uneven. This study investigates the determinants of QR Code Payment adoption and its subsequent effects on SMEs’ sustainability performance. Anchored in the Technology Acceptance Model (TAM) and the Resource-Based View (RBV), the proposed framework incorporates perceived usefulness, perceived ease of use, digital literacy, QR Code Payment adoption, and sustainability performance as core constructs. Integrating TAM and RBV is essential because belief-based perceptions translate into actual adoption only when supported by adequate organizational resources and capabilities, making adoption decisions the product of an interaction between what users believe and what the firm is able to execute. Survey data from 326 SMEs in the Special Region of Yogyakarta, Indonesia, were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results demonstrate that perceived usefulness and digital literacy significantly drive QR Code Payment adoption, whereas perceived ease of use does not, suggesting that performance-oriented beliefs and capability endowments outweigh perceptions of simplicity in shaping adoption behavior. Furthermore, QR Code Payment adoption positively influences economic, social, and environmental aspects of sustainability performance. These findings highlight the strategic value of digital payment integration for advancing SME sustainability and underscore the need to strengthen digital capabilities to accelerate technological uptake. The study extends the literature by jointly applying TAM and RBV to elucidate how belief structures and firm-level capabilities interact to shape adoption outcomes and their performance implications within resource-constrained contexts. For ecosystem coordinators, aligning merchant education with simple analytics dashboards can help SMEs turn payment data into insights—underscoring the need for policy support from government, financial institutions, and payment providers to ensure QR payment adoption translates into real performance gains.

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Journal of Research, Innovation and Technologies, 2025, Volume 4, Issue 4, Pages undefined: Using Artificial Intelligence to Manage Visual AR/VR Scenarios in Media Branding of Cultural Institutions

ievgeniia kyianytsia — 12-26-2025

In the context of the digital transformation of cultural institutions, there exists an imperative for interactive AR/VR systems that leverage the capabilities of artificial intelligence for the personalized presentation of cultural content and the management of cognitive interaction scenarios. In light of the above, the purpose of this study was to develop and empirically evaluate the efficacy of an interactive AI model (CurioMind) for AR/VR experiences, which tailors information input to align with user requests and behaviors. Within the framework of the study, an experiment was conducted with two groups of participants (n = 60), which involved comparing the measures of attraction, memorization and subjective evaluation of the experience. Furthermore, NASA-TLX cognitive load assessments were conducted alongside semi-structured interviews to qualitatively evaluate interface perception and content. Participants engaging with the CurioMind model demonstrated significantly higher levels of information retention (mean score of 9.1 compared to 7.2 in the control group) and longer exposure time. Moreover, their ratings on the parameters of emotional engagement, personalization, and interface attractiveness were markedly higher. The findings substantiate the study’s hypothesis: the integration of an adaptive AI agent within AR/VR experiences augments the efficacy of informal cultural learning and elevates the quality of the user experience. The CurioMind model introduces a novel approach to digital museum storytelling based on behavioral personalization. Future research may encompass the scaling of the system to authentic museum environments, adding multimodal input (gestures, gaze).

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Journal of Research, Innovation and Technologies, 2025, Volume 4, Issue 4, Pages undefined: A System Success Evaluation Framework for Digital Pension Platforms in Aging Societies

rattanavalee maisak — 12-23-2025

Journal of Research, Innovation and Technologies, 2025, Volume 4, Issue 4, Pages undefined: AI-Powered Personalization and Purchase Intention on E-Commerce Platforms in Vietnam: An SOR-TAM Based Analysis

pham ngoc khanh — 12-21-2025

The trend of applying artificial intelligence (AI)-based personalization to e-commerce platforms is becoming increasingly popular to attract customers to buy products and services. To contribute to explaining this, this study was conducted to analyze the impact of artificial intelligence-based personalization on customers’ purchase intention when shopping on e-commerce platforms in Vietnam. Based on the PLS-SEM analysis method with valid data collected from 400 survey questionnaires for people who have shopped on e-commerce platforms. The results show that innovation, system quality, and information quality positively affect perceived usefulness and trust, thereby promoting purchase intentions. In addition, immersive experiences also positively affect purchase intentions. On that basis, the authors propose some management implications to help businesses operating on e-commerce platforms better understand the impact of AI-based personalization on purchase intentions, thereby being able to build strategies to improve operational efficiency and increase profits.

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Journal of Research, Innovation and Technologies, 2025, Volume 4, Issue 4, Pages undefined: The Moderating Role of Artificial Intelligence Usage in Strengthening Internal Audit, Internal Control, and Risk Management Toward Achieving Sustainability: Evidence from Jordanian Banks

anas ahmad bani atta — 12-04-2025

The effectiveness of risk management within the Jordanian banks’ internal control systems and internal auditing is the focus of the study considering the moderate impact of AI in the form of expert systems and neural networks. This study aims to examine the impact of integrating AI in auditing and corporate governance in order to improve the organization’s ability to withstand adversity and endure over time. The study obtained data from 350 internal auditors from Jordanian conventional and Islamic banks through a structured survey. Using partial least square structural equation modeling (PLS-SEM), the study established a positive correlation between the effectiveness of internal auditing and the control of internal systems with risk management. Moreover, while neural networks have a weaker moderating impact, expert systems have a moderating impact on the relationship between the control internal systems and risk management. The study concludes that AI in the form of expert systems enhances the ability to recognize and eliminate risks through the development of internal control and audit functions. It also proposes that the study enhances the understanding of agency theory and the theory of technological superiority by demonstrating the role of AI in aiding human auditors to improve the governance systems in an organization. Moreover, the results assist bank managers, policymakers, and regulators to inform the integration of AI systems and tools to improve risk management practices.

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Journal of Research, Innovation and Technologies, 2025, Volume 4, Issue 4, Pages undefined: Corporate Social Responsibility, Internal Control, and Corporate Reputation in Light of Digital Transformation Techniques

ahmed fadhil saleh — 12-03-2025

This study examines the impact of corporate social responsibility (CSR) and internal control (IC) on corporate reputation (CR) in the context of digital transformation (DT), which serves as a moderating variable. Furthermore, a sample of 324 individuals was selected from the research community of accountants, auditors, and other specialists working in the Iraqi environment, and data were collected using a list of questionnaires analyzed based on a Likert scale. The stability and reliability of the scale were verified using Cronbach’s alpha and the split-half method according to Spearman-Brown’s value, and several statistical tests were used to verify data distribution and potential bias. In addition, regression models were designed to test four main hypotheses. The results showed a positive impact of both corporate social responsibility and internal control on corporate reputation. Digital transformation technologies (DTT) strengthens the relationship between CSR, IC, and CR. This study offers academic value as it empirically analyzes the impact of those variables in the light of DT as a moderating variable. It also provides management, regulators, and stakeholders with possible strategies in accordance with the business environment, and provides policy implications for promoting institutional development and ESG requirements.

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Journal of Research, Innovation and Technologies, 2025, Volume 4, Issue 4, Pages undefined: Exploring Adoption Behaviours and Competitive Platforms in OTT Streaming: A Bibliometric and Systematic Literature Review (2010–2024)

shivendra singh chaudhary — 11-26-2025

Global research trends on Over-The-Top (OTT) media services were examined through a bibliometric and systematic review of 176 peer-reviewed documents published between 2010 and 2024, sourced from 117 journals and books. The analysis conducted using Bibliometrix, VOSviewer, and the PRISMA methodology identified a compound annual growth rate of approximately 34% in scientific output from 2010 to 2023, indicating rapid expansion in OTT research. The most prolific contributors by publication count are Chakraborty, Soren, and Sridevi. The leading countries in this field are India, South Korea, and the United States. Key research themes include platform dominance, consumer behaviour, and the impact of COVID-19 on OTT adoption, with “OTT” and “Netflix” as dominant topics in scholarly discussions. Although the data were sourced exclusively from Scopus, the findings offer a comprehensive overview of the evolution of themes, principal research networks, and prevailing trends in the OTT research domain.

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Journal of Research, Innovation and Technologies, 2025, Volume 4, Issue 4, Pages undefined: The Role of Financial Literacy and Digital Literacy in Fintech Usage Among Millennials Generation: Moderating by Gender

ali aljaafreh — 11-23-2025

Journal of Research, Innovation and Technologies, 2025, Volume 4, Issue 4, Pages undefined: An Examination of the Effects of Demographic Factors on Organizational Commitment: Data from North Indian Higher Education

pooja kanojia — 11-13-2025

Organizational commitment (OC) has gained popularity in recent times. It’s a very crucial determinant of employee retention, productivity, and a contributor to organizational growth and prosperity. The role of a faculty is very important in shaping the careers of students and in the overall growth of higher education institutions. The current study emphasizes how job-related factors like designation and demographic profiles like age, gender, education qualification, marital status, and area of belongingness affect OC of the faculty working in the HEIs of Uttarakhand, India. A simple random technique was used to determine the sample of the study; the sample of the study was 235 faculty members engaged in the higher education institutions (HEIs). 15 items were adapted from the questionnaire on OC developed by Mowday. To collect the data, an online questionnaire was sent to the faculty engaged in the HEIs through email and the WhatsApp application. To check the internal consistency, Cronbach's Alpha test was applied. The data were distributed normally, hence a parametric test was used. The study reveals that age, gender, experience, and marital status influence OC, and designation and area of belongingness have no impact on the OC. The policymakers need to develop strategies and policies keeping in mind both demographic and job-related factors to embrace and foster commitment amongst the employees.

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Journal of Research, Innovation and Technologies, 2025, Volume 4, Issue 3, Pages undefined: The Role of Human Resource Information Systems (HRIS) in Decision-Making Effectiveness and Organizational Efficiency: Perceptual Analysis on Service Sector Employees

md. abdul muhith chowdhury — 09-29-2025

Journal of Research, Innovation and Technologies, 2025, Volume 4, Issue 3, Pages undefined: Digital Mindfulness and Workplace Well-Being: A Structural Model of VR-Based Interventions, Technostress, and Job Satisfaction Among Dual-Role Female Employees

andrew satria lubis — 09-29-2025

Journal of Research, Innovation and Technologies, 2025, Volume 4, Issue 3, Pages undefined: The Influence of Islamic Leadership on the Creativity of Employees of Sharia Microfinance Institutions: The Role of Knowledge Sharing and Organizational Innovation

azhar alam — 09-29-2025

Journal of Research, Innovation and Technologies, 2025, Volume 4, Issue 3, Pages undefined: Evaluating the Impact of AI-Based Tools on Language Proficiency and Motivation: Experimental Evidence from Philology Students in Ukraine

mykhailo podoliak — 09-29-2025

Journal of Research, Innovation and Technologies, 2025, Volume 4, Issue 3, Pages undefined: Reconceptualizing E-Commerce Adoption in Agriculture: A TOE-Based Structural Model with Social Identity as a Mediator

weiyan liu — 09-27-2025

This study develops an integrated model to explain e-commerce adoption among agricultural producers by combining the Technology–Organisation–Environment (TOE) framework with social identity theory (SIT). Drawing on cross-sectional data from 585 farmers in Shanxi Province, China, and analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM), the research assesses both the direct and mediating effects of technological readiness, organisational barriers, and environmental enablers. Results reveal that social identity acts as a critical mediator, transforming indirect contextual drivers into adoption behaviour. Notably, factors such as complexity and digital environmental change influence adoption exclusively through social identity rather than direct paths. These findings advance existing literature by embedding sociopsychological mechanisms into digital adoption models, and offer practical guidance for promoting inclusive e-commerce development in rural and agricultural contexts, particularly in developing regions like rural China.

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Journal of Research, Innovation and Technologies, 2025, Volume 4, Issue 3, Pages undefined: Harnessing ICT for Strategic Advantage in Tourism: Evidence from Enterprises in Albania

elton noti — 09-24-2025

As the global tourism industry becomes increasingly shaped by digital transformation, the strategic role of Information and Communication Technologies (ICTs) has gained particular significance, especially in emerging economies. Albania, with its growing appeal as a tourist destination and its economic reliance on tourism, presents a compelling context in which to examine the digital maturity of tourism enterprises. This study investigates the adoption of ICT tools—particularly websites and e-marketing practices—among Albanian tourism businesses and assesses the impact of managerial attitudes and digital infrastructure on perceived business performance. Grounded in the Technology Acceptance Model (TAM) and the Resource-Based View (RBV), the research employs a quantitative survey methodology, collecting responses from 208 enterprises across five key tourism regions. The findings reveal that 81% of these enterprises maintain an active website, with adoption rates significantly higher in coastal areas such as Durrës and Sarandë. Hierarchical regression analysis demonstrates that a favorable perception of ICTs is positively associated with ICT-based marketing strategies (r = 0.243, p < 0.01) and reported profit growth (R² = 0.291). Although high initial website development costs are acknowledged as a barrier, they are also correlated with long-term profitability, reflecting a growing recognition of ICT as a strategic asset rather than a cost burden. The results support the dual theoretical lens: TAM explains the behavioral inclination toward digital tools, while RBV underscores their value as inimitable resources for sustained competitive advantage. The study highlights the need for targeted government policies, including digital upskilling programs, infrastructure investment, and support for small enterprises lagging in digital readiness. Future research could expand this inquiry through longitudinal and cross-country analyses, exploring how emerging technologies—such as AI-driven personalization, immersive media, and data analytics—reshape destination competitiveness in the digital age.

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Journal of Research, Innovation and Technologies, 2025, Volume 4, Issue 2, Pages undefined: Blockchain Revolutionising Insurance and Takaful Sector: Possibilities, Challenges, and Policy Roadmap for Pakistan

mansoor ahmad qazi — 06-29-2025

Takaful is an alternative Shariah compliant insurance product which is being offered by more than fifty takaful companies in Pakistan. Currently takaful market is facing low penetration due to many challenges including regulatory or compliance, payment efficiency, fraud prevention, transparency. Blockchain technology, a decentralized, transparent and trust-based system, which could address these issues efficiently and effectively by offering smart contracts.

This paper examines Blockchain's feasibility and its impact on Pakistan’s insurance market in general and takaful sector in particular, using a systematic literature review (SLR) and case studies from Malaysia, the UAE, and Indonesia. In Malaysia and the UAE, the success of using Blockchain in Islamic finance highlights potential efficiency and security benefits. However, in Pakistan's regulatory ambiguity, lack of Shariah-compliant frameworks, limited human expertise, and low industry readiness are few factors which needs to look at, by the Government of Pakistan, and this could lead to sustainable growth in Pakistan’s digital financial sector including takaful industry. The Policymakers, Ministry of science and technology and State of bank of Pakistan could benefits from this study by creating a regulatory sandbox and offer current takaful operators full IT and regulatory support to develop Shariah-compliant smart contracts. The results reveal that, Takaful operators should develop and test pilot digital projects focusing on cost reduction, fraud prevention, automation of standards claims where possible, streamline the insurance industry and takaful operations and this leads to not only increase takaful penetration but also help Pakistani takaful market to align with global digital trends.

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Journal of Research, Innovation and Technologies, 2025, Volume 4, Issue 2, Pages undefined: Technological Innovation in Digital Brand Management: Leveraging Artificial Intelligence and Immersive Experiences

nataliia тerentieva — 06-29-2025

The digital transformation has fundamentally reshaped brand management, moving from traditional mass communication to data-driven, interactive, and highly personalized strategies. With emerging technologies such as artificial intelligence (AI), augmented reality, and digital ecosystems, brands are now engaging consumers in innovative ways to enhance loyalty and gain a competitive advantage. This study examines how leading brands, such as Nike, Apple, and Coca-Cola, employ digital brand management strategies to enhance brand equity, boost consumer engagement, and maintain market leadership. A multiple-case study approach was employed to analyse this. Data was collected through archival research, social media analytics, and consumer sentiment analysis to assess the impact and effectiveness of these strategies. The study examines key digital branding elements, including direct-to-consumer (DTC) models, experiential marketing, and interactive campaigns. The findings reveal that Nike's DTC strategy fosters direct consumer relationships and strengthens brand equity. Apple's experiential marketing and storytelling foster emotional brand loyalty, while Coca-Cola's personalized and interactive digital campaigns drive consumer engagement and social media virality. These strategies demonstrate the growing importance of AI-driven personalization, omnichannel consistency, and consumer-centric engagement.

The study concludes that brands prioritizing AI-powered personalization and immersive digital experiences achieve stronger consumer engagement and long-term brand growth. Practical implications suggest businesses integrate AI-driven analytics, invest in emerging technologies, and adopt consumer-focused digital strategies. Future research should investigate the long-term effects of AI-driven brand interactions and examine the role of Web3 and the Metaverse in shaping the future of digital brand management.

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Journal of Research, Innovation and Technologies, 2025, Volume 4, Issue 2, Pages undefined: Comparative Performance Analysis of Modern NoSQL Data Technologies: Redis, Aerospike, and Dragonfly

deep bodra — 06-29-2025

The rise of distributed applications and cloud computing has created a demand for scalable, high-performance key-value storage systems. This paper presents a performance evaluation of three prominent NoSQL key-value stores: Redis, Aerospike, and Dragonfly, using the Yahoo! Cloud Serving Benchmark (YCSB) framework. We conducted extensive experiments across three distinct workload patterns (read-heavy, write-heavy), and balanced while systematically varying client concurrency from 1 to 32 clients. Our evaluation methodology captures both latency, throughput, and memory characteristics under realistic operational conditions, providing insights into the performance trade-offs and scalability behaviour of each system.

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Journal of Research, Innovation and Technologies, 2025, Volume 4, Issue 2, Pages undefined: Geopolitical Bias in Sovereign Large Language Models: A Comparative Mixed-Methods Study

sridhar jonnala — 06-29-2025

Sovereign large language models (LLMs), emerging as strategic assets in global information ecosystems, represent advanced AI system developed under distinct national governance regimes. This study examines how model origin and governance context influence AI-generated narratives on international territorial disputes. The study compares outputs from three prominent sovereign LLMs - OpenAI’s GPT-4o (United States), DeepSeek-R1 (China), and Mistral (European Union), across 12 high-profile territorial conflicts. Statistically significant differences in each model's sentiment distribution and geopolitical framing are identified using a mixed-methods approach that combines sentiment analysis with statistical evaluation (chi-square tests and analysis of variance, ANOVA) on responses to 300 standardized prompts.

The findings indicate model provenance substantially shapes the tone and stance of outputs, with each LLM reflecting distinct biases aligned with its national context. These disparities carry important policy and societal implications: reliance on a single sovereign model could inadvertently bias public discourse and decision-making toward that model's native perspective. The study highlights ethical considerations such as transparency and fairness and calls for robust governance frameworks. It underscores the need for careful oversight and international cooperation to ensure that sovereign LLMs are deployed in a manner that supports informed and balanced geopolitical dialogue.

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Journal of Research, Innovation and Technologies, 2025, Volume 4, Issue 2, Pages undefined: Generative Artificial Intelligence and Green Choices: Exploring Environmental Attitudes and Digital Behaviour in India

jyothi chittineni — 06-29-2025

The proliferation of Generative AI (GenAI) tools has introduced new dynamics in user behaviour, environmental perception, and digital sustainability. This study, based on a primary questionnaire survey of 1,005 GenAI users aged 18 and above from India, investigates the frequency of GenAI usage and its relationship with climate change awareness, environmental concern, and willingness to adopt energy-efficient digital practices. Using regression-based models, the research reveals a pattern of indirect dependence: lower GenAI usage is related with a greater inclination toward environmentally responsible behaviours, such as transitioning from non- sustainable platforms and adopting energy-efficient digital services. In contrast, frequent GenAI users tend to perceive climate change as temporally distant and of lower immediate importance.

The study also examines how the frequency and nature of social media usage influence users’ attitudes toward sustainable technology choices. These findings provide valuable insights for policymakers, AI educators, digital strategists, and sustainability advocates aiming to foster environmentally conscious technology adoption in emerging economies like India.

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Journal of Research, Innovation and Technologies, 2025, Volume 4, Issue 2, Pages undefined: Deep Learning-based Optimized Model for Emotional Psychological Disorder Activities Identification in Smart Healthcare System

dilip kumar jang bahadur saini — 06-29-2025

Accurately diagnosing emotional and psychological disorders is essential for prompt mental health interventions, especially in intelligent healthcare systems. This paper proposes a deep learning model that uses convolutional neural networks (CNN) and long short-term memory (LSTM) networks to classify emotional states based on physiological inputs like EEG and ECG. Bayesian optimisation improves the model's learning efficacy and generalisation ability by adjusting hyperparameters. In comparison to conventional machine learning models such as Support Vector Machines (SVM), random forest, and standalone deep learning models (CNN and LSTM), the proposed CNN-LSTM architecture increases classification accuracy by 25%, to 92.1%. Its exceptional performance is demonstrated by its AUC-ROC score of 0.96, accuracy of 0.93, recall of 0.91, and F1-score of 0.92. These results show that the model can distinguish between several emotional states, including neutral, tense, and concerned. A real-time application is used to investigate the potential of wearable EEG-based brain-computer interface (BCI) devices for continuous emotional monitoring. The findings indicate that the proposed framework might be a helpful tool for the early detection and tailored management of mental health conditions in intricate healthcare environments.

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Journal of Research, Innovation and Technologies, 2025, Volume 4, Issue 2, Pages undefined: Digital Virtual Anchors Impact in Entertainment Industry: An Exploration of User Acceptance and Market Insights

xinli lyu — 05-23-2025

This research aims to explore the impact of digital virtual anchors, such as virtual presenters and singers, on the entertainment industry, with a focus on user perceptions and market changes. The study analysed data on the behaviour of Chinese youth, including their perceptions of virtual presenters on platforms such as Bilibili, and their influence on preferences and consumer decisions. The methodology included surveys and statistical analysis to assess the degree of engagement, users’ willingness to interact with virtual anchors and their influence on the overall growth of interest in virtual platforms. The results showed that 78% of respondents had a positive perception of virtual anchors, and 62% said that such technologies increased their interest in platforms. The analysis also revealed a significant impact of virtual anchors on market structure, including revenue growth in streaming, virtual concerts and e-commerce. Study participants also noted increased interest in augmented reality (AR) technologies and their integration with virtual anchors. The study’s findings emphasize the importance of the industry adapting to new technologies to attract audiences and remain competitive. The long-term potential of virtual anchors includes opportunities to expand business models, introduce personalized solutions and develop new products, creating significant prospects for their continued use in the entertainment industry.

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Journal of Research, Innovation and Technologies, 2025, Volume 4, Issue 1, Pages undefined: The Use of Adaptive Artificial Intelligence (AI) Learning Models in Decision Support Systems for Smart Regions

pavlo fedorka — 03-29-2025

The purpose of this study is to analyse the effectiveness of implementing adaptive AI learning models in decision support systems to optimise the functioning of smart regions. The study provides a detailed examination of the application of machine learning algorithms, deep learning, and reinforcement learning across various sectors, such as urban management, energy resources, and security. The results revealed that the implementation of these models enhances the efficiency of urban system management, reduces costs, and increases the flexibility of decision-making processes. In particular, adaptive models in energy resource management optimise decision-making processes, leading to more rational resource use and substantial cost reductions. In the security field, adaptive AI models show improvements in predicting and preventing incidents, ensuring more reliable and stable system performance. Moreover, the results include the implementation of adaptive models based on programming languages such as TypeScript and JavaScript. The study demonstrated that the use of TypeScript reduces errors and improves system scalability due to strict typing, as shown in the implementation of a reinforcement learning model. Meanwhile, the use of JavaScript enabled the effective adaptation of models to new data through dynamic updates of regression coefficients, leading to improved prediction accuracy.

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Journal of Research, Innovation and Technologies, 2025, Volume 4, Issue 1, Pages undefined: Exploring Academics’ Acceptance of Technology in Statistics Education: Evidence from Confirmatory Factor Analysis

asyraf afthanorhan — 03-29-2025

The aim of this study is to evaluate the performance of a proposed model utilizing the Technology Acceptance Model (TAM) to forecast student perceptions of statistics education with advanced technology. A total of 379 undergraduate students from Malaysia’s East Coast region were recruited using a simple random sampling technique. This study incorporates six main constructs that are tested simultaneously, namely social influence, self-efficacy, perceived usefulness, perceived ease of use, attitude toward using, and behavioural intention. The Pooled Confirmatory Factor Analysis (PCFA) was employed to assess the factor loadings and fitness of the model being tested. Moreover, the Composite Reliability (CR) and Average Variance Extracted (AVE) were established to assess their reliability and validity. The results of the Confirmatory Factor Analysis (CFA) demonstrated that all six constructs achieved satisfactory levels of model fit, reliability, and validity. These findings confirm that the measurement model is statistically robust and that each construct is well-defined and appropriate for further analysis. Given their strong psychometric properties, these constructs provide a solid foundation for future research and should be considered for further investigation by examining the structural relationships among them, particularly in the context of technology adoption in statistics education.

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Journal of Research, Innovation and Technologies, 2025, Volume 4, Issue 1, Pages undefined: Overcoming Vocal Similarities in Identical Twins: A Hybrid Deep Learning Model for Emotion-Aware Speaker and Gender Recognition

rajani kumari inapagolla — 03-29-2025

Speaker identification among identical twins remains a significant challenge in voice-based biometric systems, particularly under emotional variability. Emotions dynamically alter speech characteristics, reducing the effectiveness of conventional identification algorithms. To address this, we propose a hybrid deep learning architecture that integrates gender and emotion classification with speaker Identification, tailored specifically to the complexity of identical twin voices. The system combines Emphasized Channel Attention Propagation and Aggregation in Time Delay Neural Network (ECAPA-TDNN) embeddings for speaker-specific representations, Power Normalized Cepstral Coefficients (PNCC) for noise-robust spectral features, and Maximal Overlap Discrete Wavelet Transform (MODWT) for effective time-frequency denoising. A Radial Basis Function Neural Network (RBFNN) is employed to refine and fuse feature vectors, enhancing the discrimination of emotion-related cues. An attention mechanism further emphasizes emotionally salient patterns, followed by a Multi-Layer Perceptron (MLP) for final classification. The model is evaluated on speech datasets from RAVDESS, Google Research, and a proprietary corpus of identical twin voices. Results demonstrate significant improvements in speaker and emotion recognition accuracy, especially under low signal-to-noise ratio (SNR) conditions, outperforming traditional Mel Cepstral-based methods. The proposed system’s integration of robust audio fingerprinting, feature refinement, and attention-guided.

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Journal of Research, Innovation and Technologies, 2025, Volume 4, Issue 1, Pages undefined: Knowledge Management in Virtual Organisations Using Mobile Agents

laura nicola-gavrilă — 03-29-2025

This paper presents a conceptual framework for enhancing knowledge management (KM) processes in virtual organizations through the integration of mobile agents. With the growing digitization of workplaces and the proliferation of distributed teams, managing and leveraging knowledge efficiently has become critical. Mobile agents offer promising features such as autonomy, adaptability, and mobility, making them suitable for dynamic knowledge environments. The paper outlines the architecture of a multi-agent system for KM and discusses its potential impact on organizational performance. Emphasis is placed on the role of intelligent agents in collecting, filtering, and disseminating relevant knowledge across virtual settings. The proposed model aims to support decision-making, reduce information overload, and facilitate knowledge sharing among members of decentralized organizations.

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Journal of Research, Innovation and Technologies, 2025, Volume 4, Issue 1, Pages undefined: Artificial Intelligence Singularity and Gravitational Singularity: A Theoretical Comparison Under Einstein’s General Relativity

yassin abdalla abdelkarim — 03-23-2025

The domination of cyberspace technologies in inter-human communications is obvious because of their ‎ultra-rapidness and enormous data capacity. Human-intensive ‎use of cyberspace increased the magnitude of streamed data through its nodes, created by two sources: human users and AI. While humans can control their generated data, ‎it proves impossible to control AI due to its super intelligence along with their self-developing ‎abilities, enabling it to produce unlimited volumes of data. It is known that cyberspace depends on physical infrastructure, which is inherently limited. Despite investments to expand capacity, overloading this infrastructure with unlimited data creates critical functionality issues. Additionally, the presence of uncontrollable AI elements leads to unpredictable outcomes. Ultimately, this results in AI dominating cyberspace, a phenomenon known as cyber singularity.

The ultimate consequences of AI cyber singularity motivated the study to recall a similar phenomenon in astrophysics: gravitational singularity. Using general relativity theory, the ‎research analyses the dilemma of data overload in cyberspace and its effects, drawing parallels ‎between outer space and cyberspace‎. It aims to illustrate AI's acquisition of cyber singularity according to astrophysics laws on gravitational singularity, providing an innovative perspective for scientists and scholars studying cyberspace.

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Journal of Research, Innovation and Technologies, 2025, Volume 4, Issue 1, Pages undefined: The Political Rise of “Technology Masters”. From Carrying out an Order to Designing a Model of Society

ludovic joxe — 03-23-2025

This article aims to discuss the evolution over the centuries of the role and social position of those mastering the technologies of their time. We suggest that the Industrial Revolution, the rationalization of technical and managerial processes, then the rise of IT, the ascent of cryptocurrencies and finally the emergence of the neoliberal state have lifted a fringe of these individuals to the top of the social hierarchy. Among the “technology masters”, we distinguish three families: those who remain at the service of the State and the established order, those who have exploited, consciously or not, the withdrawal of the neoliberal State to offer services and innovations formerly assumed by the public sector, and finally those who have consciously taken advantage of this same withdrawal and the recognition they enjoy in society to propose other models (free software, open source, crypto anarchism, technical alternatives, etc.).

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Journal of Research, Innovation and Technologies, 2025, Volume 4, Issue 1, Pages undefined: A Machine Learning Approach to Synthetic Gini Coefficient Estimation in Colombian Municipalities

john michael riveros-gavilanes — 03-23-2025

This paper presents two synthetic estimations of the Gini coefficient at a municipality level for Colombia in the years 2000 - 2020. The methodology relies on several machine learning models to select the best model for imputation of the data. This derives in two Random Forest models where the first is characterized by containing Dominant Fixed Effects, while the second contains a set of Dominant Varying Factors. Upon these estimations, the Synthetic Gini Coefficients for both models are inspected, and public links are generated to access them. The Dominant Fixed Effects models is rather “stiff” in contrast to the Varying Factor model. Hence, for researchers it is recommended to use the Synthetic Gini Coefficient with Varying Factors because it contains greater variability across time than the Dominant Fixed Effects models.

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Journal of Research, Innovation and Technologies, 2024, Volume 3, Issue 2, Pages undefined: A Personal Data Value at Risk (Pd-VaR) Approach

luis enríquez — 12-29-2024

What if the main data protection vulnerability is risk management? Data Protection merges three disciplines: data protection law, information security, and risk management. Nonetheless, very little research has been made in the field of data protection risk management, where subjectivity and superficiality are the dominant state of the art. Since the GDPR tells you what to do, but not how to do it, the solution for approaching GDPR compliance is still a grey zone, where the trend is using the rule of thumb. Considering that the most important goal of risk management is to reduce uncertainty in order to take informed decisions, risk management for the protection of the rights and freedoms of the data subjects cannot be disconnected from the impact materialization that data controllers and processors need to assess. This paper proposes a quantitative approach to data protection risk-based compliance from a data controller’s and processor’s perspective, with the aim of proposing a mindset change, where data protection impact assessments can be improved by using data protection analytics, quantitative risk analysis, and calibrating experts’ opinions.

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Journal of Research, Innovation and Technologies, 2024, Volume 3, Issue 2, Pages undefined: Advancing Multi-Level Production Defect Detection Using Quality Tools and Maintenance Optimisation

elleuch fadwa — 12-26-2024

This study aims to advance the detection of production defects at three levels - part, material, and machine - through the application of a few quality tools with a view to proposing solutions. The research focuses on identifying and addressing the most prevalent and critical anomalies observed in the workshop. Despite existing quality control measures, production often falls short of meeting customer specifications due to machine malfunctions, inadequate operator vigilance, and inefficiencies in the maintenance processes. These challenges underscore the need for a systematic approach to visualise and address production system issues. By applying targeted quality tools, this paper seeks to optimise maintenance strategies and improve overall production performance, contributing to enhanced operational efficiency and product quality.

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Journal of Research, Innovation and Technologies, 2024, Volume 3, Issue 2, Pages undefined: Developing a Mobile Application for Project Bidding and Service Matching

claudiu-ionut popîrlan — 12-09-2024

The rise of the gig economy and the increasing demand for flexible, remote work have transformed the freelancing landscape. This paper presents the development of a mobile application designed to streamline the process of project bidding, user management, and service matching for freelancers. Built using Java and Android Studio, the application employs Agile development methodologies to ensure robust performance and a seamless user experience. Key features include user registration and verification, a secure project-bidding platform, and efficient database management with SQLite. The app also utilises the Glide library for optimised image handling, ensuring smooth interaction for freelancers and clients alike. Initial results indicate that the platform effectively connects clients with freelancers by providing an intuitive, reliable, and secure service-matching environment. This paper explores the technical design, challenges, and future directions of the application, emphasising its potential to improve freelancing workflows and address key issues such as decision fatigue and trust in digital platforms.

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Journal of Research, Innovation and Technologies, 2024, Volume 3, Issue 2, Pages undefined: Integrating ICT in Vocational Education and Training: Expectations, Challenges, and the Path towards Modernisation

veronika ducl — 09-06-2024

This paper examines the integration of Information and Communication Technology (ICT) in vocational education and training (VET) institutions, highlighting its significance in aligning education with the demands of a rapidly digitising world. The Council of the European Union recognises VET's role in equipping individuals with skills for digital and green transitions. Amid the COVID-19 pandemic, ICT adoption in education became imperative, accelerating the digital revolution within the sector. Albania, as an EU candidate country, has emphasised ICT in its national strategies, aligning with European frameworks to foster modernisation in VET. The research employs a quantitative methodology, utilising a questionnaire tailored to the Albanian VET context, to gather insights from public vocational schools and training centers, with a total number of n=46 institutions participating in the research. Findings reveal that VET institutions recognise ICT-supported modernisation as vital for improving teaching quality, management, communication, and students' transition to the labour market. Despite this, challenges such as inadequate infrastructure, outdated devices, and limited digital skills among teaching staff impede the full realisation of ICT's potential. To address these barriers, the study recommends targeted interventions, including teacher training and infrastructure development. This research contributes to the discourse on digital transformation in VET, underscoring the importance of strategic investments in ICT for enhancing vocational education's quality and relevance in Albania's evolving educational landscape.

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Journal of Research, Innovation and Technologies, 2024, Volume 3, Issue 2, Pages undefined: Exploring the Preventive Contribution of Data Localisation Against Information Technology Outages: The CrowdStrike Case

yassin abdalla abdelkarim — 08-26-2024

The severe impacts of the CrowdStrike outage on the world economy and national critical services, e.g., banking, healthcare, and airports, invoked the urgent need to decrease governmental dependence on foreign tech companies to store and manage national data. An effective alternative to this approach is data localisation. The latter includes the physical placement of data infrastructure within the state’s territory or imposing ultimate national control over data stored in a server located abroad, along with relevant managing software. The research points out the prominence of data localisation to protect national data, and the functionality of services depending on this data, against technical failures that cause outages. In this endeavour, the research reviews the concepts of territoriality and localisation of cyberspace, along with shedding light on the CrowdStrike outage and explaining its reasons and consequences. Then, it introduces a justification for the validity of data localisation for preventing outages' negative impacts and protecting national data.

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Journal of Research, Innovation and Technologies, 2024, Volume 3, Issue 1, Pages undefined: Predicting UK Housing Price using Machine Learning Algorithms

gbadebo a. ogundeji — 06-27-2024

The development of reliable predictive algorithm for house price as the housing market is a stand-out among the most involved regarding valuing the price and continues to fluctuate, is constantly a need for socio-economic advancement and welfare of citizen. In this paper, we develop machine learning algorithms for forecasting UK housing Price, and find an optimal algorithm that forecasts housing price accurately on the premises of the presence of many features or covariates. After applying correlation analysis to remove correlated variables in order to avoid multicollinearity, thereby increasing the statistical power, a novel method of using regression analysis to first of all understand and select statistically significant features for the various regions in England based on North South divide is adopted. These features are then used in the machine learning algorithm to further increase the statistical power of the algorithm, increase the level of accuracy for each of them and ultimately increase the predictive values for the algorithms.

The model construction involves 3 stages: 1- correlation analysis to identify and remove correlated variables thereby avoiding multicollinearity and increasing the statistical power of the linear regression, 2 - using linear regression to determine variables that are statistically significant and 3 - building the machine learning algorithms based on the variables that are statistically significant from the linear regression. A comprehensive dataset of UK Paid housing Price from 2010 to 2019 was linked to a number of other datasets to generate a total 21 variables or features used for the models. Catboost, Gradient Boosting, Bagging, Random Forest, Extra Tree all achieved the excellent model’s performance result in all the regions considered. The comparison of the seven models showed that Extra Tree algorithm consistently achieved the best performance in term of level of accuracy in all the regions. K-Nearest Neighbours (KNN) is the only algorithm with less than 50% level of accuracy. Noticeably, the regions considered had varying or differing insignificant variables, implying that although many variables are common (statistically significant) to all the regions, there are regional differences and impact when modelling or predicting housing prices. This study validates the practicability of developing a machine learning methodology for the prediction of housing price. This research offers a reference for future house price prediction based on machine learning.

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Journal of Research, Innovation and Technologies, 2024, Volume 3, Issue 1, Pages undefined: The What and How of Data Analysis

sidharta chatterjee — 06-06-2024

In this paper, we discuss about what and how of data science and data analysis: i.e., the approach and the mechanism that analysts employ while working with data. A Philosophical approach to analysis of data and data science has been undertaken those peeks into the conceptual world of aspects of the epistemology of data science. The paper also highlights the role played by analysts, tools, and specialized techniques that analysts employ in data science to derive insights from data. The discussion demonstrates the complexities associated with data science, and by what mechanism and how organizations and businesses draw insights that constitute the real value of data, and that which lay hidden deep within datasets constituting as a form of resource and asset for the organizations.

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Journal of Research, Innovation and Technologies, 2024, Volume 3, Issue 1, Pages undefined: Building a Systematic Innovation Factor in Stock Investing

radovan vojtko — 05-12-2024

This paper has several aims. First, it seeks to answer whether a portfolio comprised of top innovators outperforms the S&P 500 index. To achieve this, a strategy was developed to invest long in top innovators based on their ranking, and its performance was compared to that of the broad-based index. Secondly, the paper aims to assess the volatility associated with innovative stocks, given the common belief that higher innovativeness carries higher risk. Additionally, it seeks to analyse the impact of sector factors on the portfolio's performance. Finally, the paper conducts a comparative analysis between the portfolio's performance and that of the ARK Innovation ETF (ARKK), which specifically focuses on investing in companies relevant to the theme of disruptive innovation.

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Journal of Research, Innovation and Technologies, 2024, Volume 3, Issue 1, Pages undefined: Machine Learning Techniques in Financial Applications

sami mestiri — 03-20-2024

Over the past few years, the financial sector has witnessed an increase in the adoption of machine learning models within banking and insurance domains. Advanced analytic teams in the financial community are implementing these models regularly. This paper aims to explore the various machine learning approaches utilized in these sectors and offers recommendations for selecting suitable methods for financial applications. Additionally, the paper provides references to R packages that can be used to compute the machine learning methods. Our aim is to bring a valuable contribution to the field of financial research by providing a more comprehensive and advanced method of credit scoring, which in turn improves assessments of customers' debt repayment capabilities and improves risk management tactics.

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Journal of Research, Innovation and Technologies, 2024, Volume 3, Issue 1, Pages undefined: Evaluating Bitcoin Price Volatility Forecasting Models: A Comparative Analysis

cristina chinazzo — 03-19-2024

This paper conducts an extensive analysis of Bitcoin return series, with a primary focus on three volatility metrics: historical volatility (calculated as the sample standard deviation), forecasted volatility (derived from GARCH-type models), and implied volatility (computed from the emerging Bitcoin options market). These measuresof volatility serve as indicators of market expectations for conditional volatility and are compared to elucidate their differences and similarities. The central finding of this study underscores a notably high expected level of volatility, both on a daily and annual basis, across all the methodologies employed. However, it's important to emphasize the potential challenges stemming from suboptimal liquidity in the Bitcoin options market. These liquidity constraints may lead to discrepancies in the computed values of implied volatility, particularly in scenarios involving extreme money or maturity. This analysis provides valuable insights into Bitcoin's volatility landscape, shedding light on the unique characteristics and dynamics of this cryptocurrency within the context of financial markets.

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Journal of Research, Innovation and Technologies, 2023, Volume 2, Issue 2, Pages undefined: Individual Privacy and Data Protection Rights. The Legal and Economic Consequences of the Violation During the Covid-19 Pandemic

biljana damjanović — 12-21-2023

The basic constitutional freedoms and rights of a person and citizen are in principle unlimited: the full scope of their exercise is the rule, and the restriction determined by law can only be an exception based on explicit constitutional authority and the legitimate aim of the restriction determined by the Constitution. That being so, the restrictions - in addition to being based on constitutional authority and pursuing constitutional objectives - should be commensurate with the needs to achieve these objectives. This means that restrictive legal rules must be suitable for achieving the legitimate aim pursued, must not be stricter than necessary and must be balanced between the constitutionally guaranteed subjective right of the individual and the interests of society.

In this paper, the authors point out the economic and legal consequences of the violation of individual privacy and data protection rights caused by the public disclosure of personal data of people who, at a certain time, were obliged to self-isolate due to suspicion of Covid-19 virus infection.

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Journal of Research, Innovation and Technologies, 2023, Volume 2, Issue 2, Pages undefined: Untangling the Jurisdictional Web in Cyberspace

yassin abdalla abdelkarim — 12-17-2023

The ambiguous theme of cyberspace and its broad widespread inflict a major effect on the legal procedures of litigations. Since litigation might include several nationalities, because of the cosmopolitan nature of cyberspace, determining the competent court is not as direct as traditional litigations. Cyber litigations complicate this procedural threshold as the traditional application of jurisdiction determinants might not suit cyber disputes. Furthermore, jurisdiction conflicts in cyberspace frustrate settling the dispute as courts avoid giving their judgments due to invalidity.

Therefore, these conflicts introduce a modern issue to private international law theorists. It is indisputable that drafting obvious jurisdictional rules enhances the rule of law in cyberspace. Thus, the research analyses this issue and establishes a comparison to determine the state of the art regarding it. The article reviews the relevant academic contributions and legislation to point out how they crystallize the aspects of the research question. Besides, it studies relevant case laws from the UK and US judiciaries to conclude the legal principle they adopt to settle these conflicts and to enhance the validity of their judgments. Eventually, it introduces a comprehensive theory on settling jurisdiction conflicts regarding cyber litigation, which enhances the rule of law in cyberspace.

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Journal of Research, Innovation and Technologies, 2023, Volume 2, Issue 2, Pages undefined: Testing Parallel Trends in Differences-in-Differences and Event Study Designs: A Research Approach Based on Pre-Treatment Period Significance

john michael riveros-gavilanes — 12-13-2023

Traditional tests for parallel trends in the context of differences-in-differences are based on the observation of the mean values of the dependent variable in the treatment and control groups over time. However, given the new discussions brought by the development of the event study designs, controlling for observable factors may intervene in the fulfilment of the parallel trend assumption. This article presents a simple test based on the statistical significance of pre-treatment periods which can be extended from the classic Differences-in-Differences up to event study designs in universal absorbing treatments. The test requires at least two pre-treatment periods and can done by constructing appropriate dummy variables.

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Journal of Research, Innovation and Technologies, 2023, Volume 2, Issue 2, Pages undefined: Research on Anomaly Detection in Time Series: Exploring United States Exports and Imports Using Long Short-Term Memory

sakshi aggarwal — 10-31-2023

This survey aims to offer a thorough and organized overview of research on anomaly detection, which is a significant problem that has been studied in various fields and application areas. Some anomaly detection techniques have been tailored for specific domains, while others are more general. Anomaly detection involves identifying unusual patterns or events in a dataset, which is important for a wide range of applications including fraud detection and medical diagnosis. Not much research on anomaly detection techniques has been conducted in the field of economic and international trade. Therefore, this study attempts to analyse the time-series data of United Nations exports and imports for the period 1992 – 2022 using LSTM based anomaly detection algorithm. Deep learning, particularly LSTM networks, are becoming increasingly popular in anomaly detection tasks due to their ability to learn complex patterns in sequential data.

This paper presents a detailed explanation of LSTM architecture, including the role of input, forget, and output gates in processing input vectors and hidden states at each timestep. The LSTM based anomaly detection approach yields promising results by modelling small-term as well as long-term temporal dependencies.

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Journal of Research, Innovation and Technologies, 2023, Volume 2, Issue 2, Pages undefined: The Role of Organizational Culture in Cybersecurity: Building a Security-First Culture

michael mncedisi willie — 10-14-2023

In today's digital age, organizations have harnessed unprecedented connectivity and technological advancements, leading to enhanced efficiency and productivity. However, this progress has also exposed businesses to a multitude of cyber threats, including data breaches, ransomware attacks, and social engineering exploits. This research explores the relationship between organizational culture and cybersecurity practices, emphasizing the importance of fostering a security-first culture within organizations. While technical measures are crucial, neglecting the role of organizational culture can hinder effective cybersecurity.

The study is grounded in the theory of planned behaviour and the cultural dimensions theory, providing a solid theoretical foundation. Moreover, the investigation delves into the Denison organizational culture model, particularly focusing on the role of participation in nurturing a security-first culture. This becomes particularly relevant when assembling collaborative, inclusive, and communication-driven multi-disciplinary teams. Leadership emerges as a pivotal aspect in establishing a security-first culture. The onus lies with executive leadership at the highest echelons of the organization. However, it is concerning that in certain well-established companies, some senior executives continue to perceive cybersecurity as the sole responsibility of the IT department, overlooking its leadership significance.

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Journal of Research, Innovation and Technologies, 2023, Volume 2, Issue 2, Pages undefined: Financial Technologies: Digital Payment Systems and Digital Banking. Today's Dynamics

adalet hazar — 09-29-2023

Financial technologies (FinTechs) have been rapidly advancing in recent years, enabling transactions in financial markets to become faster, more efficient, and more secure. The use of advanced technologies such as artificial intelligence (AI) and machine learning (ML) provides significant advantages to the financial services sector. The complexity of financial markets and the need for swift action increase the demand for financial technologies.

FinTech plays an important role in offering more services at lower costs, helping traditional financial institutions remain competitive, and creating new market opportunities. Additionally, it supports financial inclusion by increasing access to financial services and plays a vital role in achieving sustainable development goals. In this section, we discuss the importance of FinTech, the conveniences and advantages it brings to transactions in financial markets, and the opportunities it provides to market participants.

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Journal of Research, Innovation and Technologies, 2023, Volume 2, Issue 2, Pages undefined: Societal Patterns Evolution Model in Development of Economy, Society, and Environment

dmitriy gakh — 08-31-2023

The Societal Patterns Evolution Model (SPEM) has been developed to apply to socio-technical systems. It contains patterns representing stages of societal development. Mapping of these patterns to the development of Information and Communication Technologies (ICTs) and Information Systems was presented at FedCSIS 2022 Conference. This paper discusses the application of SPEM to model the development of three pillars of sustainability: economic, social, and environmental. An Artificial Intelligence model has been developing to evaluate scholarly papers according to the SPEM model including economic, social, and environmental indicators.

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Journal of Research, Innovation and Technologies, 2023, Volume 2, Issue 2, Pages undefined: Coopetition in Mearth. A Strategy Beyond Rivalry to Develop the Moon-Earth Ecosystem

daniele schilirò — 08-30-2023

The space economy, which refers to the diverse economic activities and industries that are related to outer space and space exploration, has been steadily growing over the years and has become a significant driver of technological innovation and economic growth. The growth of the space economy has been facilitated by technological advancements, reduced launch costs, and increased participation from private companies. This paper explores a new geographic space called “Mearth”, representing the Moon and Earth as a unified space. Specifically, the paper focuses on the innovations developed within the Mearth ecosystem that can contribute to an improved future. It is a conceptual-theoretical paper aiming to identify viable solutions to attract investments, generate technologies, and establish a new ecosystem within the novel geographic space of Mearth. This contribution supports the view that the coopetition strategy - essentially entailing cooperation among competitors - could represent the most suitable approach to join efforts to implement Mearth's economic system and its ecosystem. The primary reason lies in this strategy's ability to align the divergent interests of the ecosystem stakeholders. In terms of outcomes, the paper shows that a coopetition strategy leads to win-win solutions and will benefit all stakeholders in the Mearth ecosystem.

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Journal of Research, Innovation and Technologies, 2023, Volume 2, Issue 2, Pages undefined: Technological Transfer Channels of Food and Beverage Processing Multinationals to Host Countries: An Empirical Analysis

ruth rama — 12-29-2023

This research examines the possibility of food and beverage (F&B)-processing multinational corporations serving as a viable conduit for the international diffusion of technology. It utilizes existing literature to analyse three potential avenues through which technology transfer occurs from these corporations to host sectors: contract farming, domestic collaboration for innovation, and spillover effects of Foreign Direct Investment (FDI). In specific instances, these firms might provide support to local innovators through financial assistance or complementary resources. Additionally, they may actively facilitate technology transfers to particular types of local partners and they may generate demonstration effects. Nevertheless, the prevailing evidence consistently indicates that the impact of FDI on the host sector is generally limited or selective. The findings of this study cast doubt on the overly optimistic views held by international organizations and host governments regarding FDI in the food sector as a major source of cutting-edge technology for host countries. The incentives offered to food and beverage multinationals should be carefully calibrated to strike a balance between acknowledging potential benefits to the sector's innovation system and maintaining a realistic perspective on the actual outcomes. This study combines and analyses three separate empirical lines of research in parallel to offer factual elements for a policy debate. By integrating these different research approaches, the study aims to contribute to a well-informed discussion on relevant policy matters.

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Journal of Research, Innovation and Technologies, 2023, Volume 2, Issue 1, Pages undefined: About Governance of Agricultural Knowledge and Innovation System. The Case of Bulgaria. Part III

hrabrin bachev — 06-29-2023

This paper is the third part of our attempt to examine the governance, efficiency, and development of the Agricultural Knowledge and Innovation System (AKIS) in Bulgaria based on a project related to mechanisms and the modes of agrarian governance in Bulgaria. The research continues with the expert assessment on governance of AKIS in Bulgaria and the SWOT analysis regarding development strategy and intervention needs providing recommendations and actionable steps to address the identified weaknesses and enhance the effectiveness, efficiency, and inclusiveness of the AKIS governance. It is emphasizing the approaches of comparative data and institutional analysis, gap analysis, SWOT, strategic orientation, experts’ assessments to identify actors and relations, state and trends in development, assess strengths, weaknesses, opportunities, and threats, formulate adequate strategy, and specify overall and public intervention needs of AKIS in the country.

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Journal of Research, Innovation and Technologies, 2023, Volume 2, Issue 1, Pages undefined: The Relationship Between Competition, Tourism and Sustainable Development: Three Interdependent Topics

panagiotis fotis — 06-29-2023

In recent years, there has been considerable interest in examining the relationship between tourism and sustainable development. For firms to act friendly against the environment, competition authorities must provide them with the appropriate legal certainty they need to make the necessary investments towards sustainability. Also, energy intensity flows must be kept up more closely since the empirical results point out its substantially positive contribution in terms of air pollution Therefore, policy implications should be strengthened towards more installation of renewable energy and a convergence of environmental policies towards more efficient energy use among EU countries. Energy intensity flows must be kept up more closely since the empirical results point out its substantially positive contribution in terms of air pollution.

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Journal of Research, Innovation and Technologies, 2023, Volume 2, Issue 1, Pages undefined: The Potential of ICT Tools for Achieving Better Achievement in Learning English for Specific Purposes in the Context of Hybrid Learning

doloris bešić-vukašinović — 06-29-2023

Educational technology as an interdisciplinary field whose subject of study is the effective use of modern technology in education is very significant when we talk about changes within the educational system. Bearing in mind that educational technology includes both means and procedures used in the teaching and learning process, the goal of its application is to increase the efficiency of the teaching process itself, as well as student achievement in learning. The paper is based on the assumption that the application of ICT tools in the teaching ESP has the potential to contribute to the success of students in mastering the desired material. The research subject of this paper is the examination of the impact of the application of information and communication technologies in teaching on the learning ESP vocabulary at the academic level in the context of hybrid learning. With the aim of examining the mentioned impact, a survey was conducted on a convenient sample of 50 first-year students of the Faculty of Business Studies and Law and the Faculty of Information Technology and Engineering, UNION University "Nikola Tesla" in Belgrade. The obtained results are contrary to our expectations that teaching organized with the help of ICT will lead to a significant progress of the experimental group compared to the control group on the knowledge retest and indicate that although teaching generally leads to progress in the achievement of students of both groups, the use of ICT in teaching, in the way it was performed in this research makes no difference in terms of that progress.

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Journal of Research, Innovation and Technologies, 2023, Volume 2, Issue 1, Pages undefined: Assessment of the Experiences of Higher Education Institution on Online Learning: The Case of Some Selected Institutions

aderajew mihret tessema — 06-29-2023

Thanks to COVID-19, e-learning has become one of the platforms for the teaching-learning activity in Ethiopia. Many high schools and higher institutions tried to manage to not disrupt the academic calendar by providing learning materials, mainly focusing on contents and exercises, via an electronic platform, Telegram. E- learning, also referred to as online learning, is an educational technological tool embracing self-motivation, communication, efficiency, and technology and it is becoming the default of 5th generation of Distance Education. In online learning, active engagements of the learner and the instructor are expected while the teaching-learning process is going on. The engagement can be either using off video text exchanging or video conferencing on platforms like Zoom, Microsoft Teams, MOODLE, etc. This study was designed to assess the experiences of selected HEIs (American College of Technology, Yardstick International College, ET Online College, and Unity University) in their establishing phase of the online learning program. Structured interview questions were forwarded to the principals of the institutions to get answers to the research questions which were framed from the rubrics of HERQA. The study found out that ‘digital contents’ seemed to be lacking the attributes which are ascribed by the experts of the field.

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Journal of Research, Innovation and Technologies, 2023, Volume 2, Issue 1, Pages undefined: The Impact of Investments on Economic Growth: Evidence from Tajikistan

mubinzhon abduvaliev — 06-29-2023

The aim of this paper is to assess the effect of foreign direct investment on economic growth in Tajikistan. Using annual time series data for 2005 to 2021, the study reveals a relationship between foreign direct investment and per capita GDP growth in Tajikistan. Based on the analysis of the Vector Error Correction Model (VECM), it has been found that these variables have a long-term relationship. The residuals of the regressions showed no autocorrelation in the post-estimation diagnostic tests performed to determine the validity of the VECM model. Furthermore, our findings suggest that improving the institutional quality of the country complements the improvement of the investment climate and results in significant increases in foreign direct investment inflows.

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Journal of Research, Innovation and Technologies, 2023, Volume 2, Issue 1, Pages undefined: Empirical Research on Financial Efficiency and Economic Growth in Sub-Saharan Africa

ayne nigo — 06-29-2023

This study contributes to the literature on financial efficiency and growth. Given the increase in domestic credit, we show evidence of the effects of controlling institutional variables. The domestic credit is adverse, with an insignificant effect on per capita income growth. We make two observations from our findings. First, the negative but insignificant coefficients of the measure of bank credit across all model specifications seem to go against the supply-leading hypothesis, as financial development hurts economic growth; nevertheless, given that the impact is insignificant, this draws more into a neutrality hypothesis of no effect. Second, the findings are likely indications of the underdeveloped state of sub-Saharan Africa's financial system, implying that the present state of the financial systems is not robust enough to be a contributory drive towards enhancing economic growth in the region. However, all models have positive control variables (Inflation and gross fixed capital formation). All coefficients of interactions between credit and institutional quality are statistically insignificant (negative in four of six models).

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Journal of Research, Innovation and Technologies, 2023, Volume 2, Issue 1, Pages undefined: Knowledge Management: A Tool and Technology for Organizational Success

sidharta chatterjee — 06-29-2023

Knowledge is a productive resource having successful applications in almost every field and domain of human activities. With unprecedented growth in knowledge resources and explosion in data, such informative resources need effective organization for storage and efficient retrieval for future uses. The entire process involving organization, storage, and dissemination of knowledge falls under the auspices of knowledge management. Thus, Knowledge Management is an organizational practice. In this research paper, we provide a general outline of some of the tools and technologies deployed in managing knowledge across organizations. We believe that the practice of knowledge management - though considered to be a process - it is also a "method" by which organizations are able to management their knowledge and human resources. On this regard, this paper contributes to our further understanding of what organizational knowledge is, and how they should be proficiently managed that would contribute to organizational success.

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Journal of Research, Innovation and Technologies, 2022, Volume 1, Issue 2, Pages undefined: About Governance of Agricultural Knowledge and Innovation System. The Case of Bulgaria. Part II

hrabrin bachev — 12-29-2022

This paper is the second part of the attempt to examine the governance, efficiency, and development of the Agricultural Knowledge and Innovation System (AKIS) in Bulgaria. In the years of EU membership, the expenditures for AR&D significantly decreased absolutely and relatively as a share in the total expenditures for R&D, which indicates diminishing importance and deteriorating financial, personnel, and material potential of the agrarian knowledge and innovation sector.

The research continues the first part already published in the previous issue with the third point of view related to the governance of agrarian research in Bulgaria is unpacked; forth, the state of the system of education and training of agricultural producers in the country is analysed.

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Journal of Research, Innovation and Technologies, 2022, Volume 1, Issue 2, Pages undefined: Research on the Interconnections between Human Capital and the Education System in Romania

riana maria gruescu — 12-29-2022

The progress of a society depends on and can only be sustained through permanent education, which implies the acquisition of new knowledge, and in this way human capital can be exploited to the maximum. Through education, any individual acquires the ability to develop his potential, and in order to do this, he must undertake a process of education through which he accumulates knowledge and skills, harmoniously develops his personality, as well as shapes his character. Through education and culture, creativity, adaptability, but also other necessary qualities are developed, and as the finality of education, insertion and social integration are of particular importance for any graduate, contributing to his fulfilment from several points of view, material, spiritual, moral.

The article analyses the participation in education of the Romanian population, the evolution of the teaching staff and the general expenses for education in the period 2010-2021.

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Journal of Research, Innovation and Technologies, 2022, Volume 1, Issue 2, Pages undefined: Institutional Quality and Economic Growth in Tanzania

vincent gibogwe — 12-29-2022

In this paper, we use the ARDL method to find the Impact of institutional quality on economic growth in Tanzania from 1990 to 2021. The ARDL technique frees variables from residual correlation as all variables are assumed to be endogenous. They distinguish between dependent and explanatory variables in any long-run relationship, identify the co-integrating vectors with multiple co-integrating vectors, and derive the Error Correction Model (ECM) or Error Correction Model (ECM) Vector Error Correction Model (VECM) by integrating short-run adjustments with long-run equilibrium without losing extended-run information. Our results show all adjustment terms in the respective models that have a long-run relationship have correct (negative) signs and are more than one, implying there is convergence in the long run; that is, the models returned to their long-run equilibrium; the rate (or speed) at which this happened ranged between $15 \%$ to $106.6 \%$ annually. Institutional quality has a significant affirmative (0.047) causal long-run effect on economic growth.

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Journal of Research, Innovation and Technologies, 2022, Volume 1, Issue 2, Pages undefined: Improving Micro-, Small and Medium Enterprise’s Access to Start-up Financing in ASEAN Countries

raluca maran — 12-29-2022

Lack of access to finance constitutes a major setback to the development of the micro-, small and medium-sized enterprise (MSME) sector in the countries of the Association of Southeast Asian Nations (ASEAN). MSMEs are confronted with stringent funding constraints in traditional lending and capital markets, in particular at the early stages of their activity. Demand and supply of capital to MSMEs thus entails more complex issues compared to the larger firms. This paper presents a number of policy actions that have the potential to mitigate the financing challenges faced by MSMEs in ASEAN at the start-up stage by enhancing the potential of alternative funding sources such as business angel investment, crowdfunding, venture capital investment and SME stock markets.

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Journal of Research, Innovation and Technologies, 2022, Volume 1, Issue 2, Pages undefined: Safe-Haven Effectiveness of Cryptocurrency: Evidence from Stock Markets of COVID-19 Worst-Hit African Countries

isiaka akande raifu — 12-29-2022

The study assessed the hedge or safe-haven property of five cryptocurrencies for stocks of three COVID- 19 worst-hit African countries. We address two main concerns bordering on the predictive capacity of African stocks for cryptocurrency returns and the safe-haven property that cryptocurrencies could offer to African stocks. A distributed lag model, with explicitly incorporated salient statistical features, was adopted based on its efficient management of parameter proliferation and estimation biases. We ascertained the model’s in-sample predictability and evaluate its out-of-sample forecasts performance in comparison with the historical average model, using Clark and West statistics. While African stocks significantly predicted cryptocurrency returns, the cryptocurrency-stocks nexus revealed the diversifier and safe-haven property of cryptocurrencies for African stocks in periods of normalcy and crisis/pandemic, respectively. Our predictive model outperformed the historical average model in the out-of- sample. Our results may be sensitive to cryptocurrency-stocks nexus and sample periods but not the out-of-sample forecast horizons.

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Journal of Research, Innovation and Technologies, 2022, Volume 1, Issue 2, Pages undefined: The Impact of Digitalization and Trade Openness on Economic Growth: New Evidence from Richest Asian Countries

sayef bakari — 12-29-2022

The aim of this investigation is to check the impact of digitalization and trade openness on economic growth for top ten richest Asian countries. Static Gravity Model and Generalized Method of Moments Model were estimated. We found that digitalization and trade openness have a significant positive effect on economic growth. These results prove that trade openness and digitalization is a source of economic growth for richest Asian countries. Due to the magnitude of the positive externalities attached to the trade openness and digitalisation, in terms of technology transfer bias, financial capacities, economic policies, human expertise, plenty of natural resources, large markets size, and spillover effect added to the domestic capacities and the national investment, the pace of the phenomenal economic performance of the Asian economies is very well marked.

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Journal of Research, Innovation and Technologies, 2022, Volume 1, Issue 1, Pages undefined: Static and Dynamic Convergence in a Recursive Dynamic Computable General Equilibrium Model: Proposal of a Simplified Approach and Application in GAMS

rodrigue nobosse tchoffo — 09-29-2022

This study proposes a new simplified technique allowing to pass from the static to the dynamic framework of computable general equilibrium models (CGEM). Emphasis is placed on the treatment of convergence which can be constant or variable. We show that in convergence with variable coefficient, the definition of an adjustment parameter is necessary and makes it possible to operate the right choice of the values which correspond to the studied economy.

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Journal of Research, Innovation and Technologies, 2022, Volume 1, Issue 1, Pages undefined: The Impact of Digitalization and Patent on Economic Growth in Romania

sayef bakari — 09-29-2022

The study aims to investigate the impact of patent and digitalization on economic growth in Romania. Our data was retrieved from the World Development Indicators database (World Bank 2021) from the period 1990-2020. Empirical fundings indicated that digitalization and patent have a positive effect on economic growth. From these perspectives, the Romanian authorities should take seriously the patent and the potential of digitalization which can help the economy to be modernized, diversified, and robust to create new jobs and to find new markets and new strategic partners, and new opportunities.

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Journal of Research, Innovation and Technologies, 2022, Volume 1, Issue 1, Pages undefined: Generalized Fisher Hypothesis Validity for Canada, UK, and Suisse Stock Markets: Evidence from ARDL Models

malika neifar — 09-29-2022

In this paper we propose a decision support tool for the investor in terms of asset allocation. The key question is to know whether equities are perfect hedge against inflation. We chose three democratic countries having common monetary policy based on the Inflation rate stabilisation targeting (including Canada, UK, and Suisse) over the period 1999M01-2018M04. We see how the stock return evolution is related to inflation rate Pre, during, and Post 2008 Global financial crisis (GFC). Then, some dynamic version of the Generalized Fisher hypothesis (GFH) models is explored by some univariate autoregressive dynamic linear (ARDL) frameworks. We conclude that during crisis period, being on either Suisse or Canadian stock market, investors can have important abnormal gains.

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Journal of Research, Innovation and Technologies, 2022, Volume 1, Issue 1, Pages undefined: Choice That’s Rational

sidharta chatterjee — 09-29-2022

In this paper, it is about the axiomatic basis of rational choice theory - the theory that is behind making rational choice and decisions. To make rational choices, we would require thinking rationally and understanding the reason and logic behind what makes a choice rational, and how we need to choose rationally. Decisions are made under various circumstances, i.e., under risk, and often under compulsion. In social choice theory, decisions are made by different types of decision making entities, i.e., committees, groups, individuals and collective judgments by various types of organizations, etc. This paper highlights these issues and addresses the fundamental tenets of making rational choices by examining and following the previous workings of experts on this field. As such, it introduces a novel concept and the idea of Social Choice Rationality in choosing what’s rational.

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Journal of Research, Innovation and Technologies, 2022, Volume 1, Issue 1, Pages undefined: Empirical Research on Foreign Direct Investment and Economic Growth in Tanzania

vincent gibogwe — 09-29-2022

Tanzania has continued to experience an unprecedented increase in Foreign Direct Investment (FDI) inflows for the past three decades. Using a vector error correction model (VECM) on data on Tanzania for the 1980–2020 period, we find the bi-causality between economic growth and FDI net inflows in the short and long run. The results imply that in Tanzania, FDI is associated with an increase in income; at the same time, economic growth leads to FDI eventually and stirs movements in FDI. In addition, our results show a strong (positive) relationship between the variables, which means that foreign direct investments (FDI) significantly impact the country's financial inflows. We believe that a well-developed and productive local capacity will eventually benefit from FDI. Nonetheless, this is only possible through the provision of incentives to foreign firms so that they may provide positive spill overs to other sectors.

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Journal of Research, Innovation and Technologies, 2022, Volume 1, Issue 1, Pages undefined: About Governance of Agricultural Knowledge and Innovation System. The Case of Bulgaria. Part I

hrabrin bachev — 09-29-2022

This paper examines the governance, efficiency, and development of the Agricultural Knowledge and Innovation System (AKIS) in Bulgaria. The Governance of AKIS includes diverse governing agents, a variety of rules, mechanisms and modes for agents, and the process of governing, and the outcome (specific order and efficiency) of the governance. First, participants in the country’s AKIS and the type of their relations are specified. Second, a diagnosis of the state and trends in AR&D is made.

The study is based on available data from statistical sources, official reports, fields surveys as well as assessments of a panel of leading experts in the area and stakeholders’ representatives. The study has found out that AKIS of the country consists of diverse and numerous organizations, for which activities and complex relations have no sufficient official or other reliable information. Bulgarian AKIS demonstrates low resource endowment and efficiency, domination of outdated public institutions and undeveloped private sector, insufficient sharing of knowledge and innovations, slow and uneven application of modern technologies, varieties, production and management methods, digitalization, etc. in different types of farms, subsectors of agriculture and regions of the country.

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