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Journal of Operational and Strategic Analytics
JISC
Journal of Operational and Strategic Analytics (JOSA)
JSE
10.56578
ISSN (print): 2959-0094
ISSN (online): 2959-0108
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Volume
2023: Vol. 1
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Journal of Operational and Strategic Analytics (JOSA) is a peer-reviewed, open access academic journal on operational and strategic analytics. It is published quarterly by Acadlore. The publication dates of the four issues usually fall in March, June, September, and December each year.

  • Professional service - All articles submitted go through rigorous yet rapid peer review and editing, following the strictest publication standards.

  • Fast publication - All articles accepted are quickly published, thanks to our expertise in organizing peer-review, editing, and production.

  • Open access - All articles published are immediately available to global audience, and freely sharable anywhere, anytime.

  • Additional benefits - All articles accepted enjoy free English editing, and face no length limit or color charges.

Editor(s)-in-chief(1)
seyyed ahmad edalatpanah
Ayandegan Institute of Higher Education, Iran
s.a.edalatpanah@aihe.ac.ir | website
Research interests: Mathematical Programming; Operational Research; Numerical Modeling; Strategic Analytics; Decision Support Systems; Uncertainty Theories; Soft Computing

Aims & Scope

Aims

Journal of Operational and Strategic Analytics (JOSA) is fully refereed international open access journal focusing on data-driven analysis and decision-making that relies on the application of statistics, computer programming, and operations research to quantify organizational performance and decisions. The mission of JOSA is to increase theoretical and practical knowledge to solve problems related to individuals, businesses, organizations, governments, and societies. We welcome original submissions in various forms, including reviews, regular research papers, and short communications, as well as Special Issues on particular topics. We consider submissions representing a wide range of scholarship, which provides an increased understanding of the use of analytics in organizations and entities.

JOSA aims to encourage scientists to publish their theoretical and experimental results in as much detail as possible. Therefore, the journal has no restrictions regarding the length of papers. Full details should be provided so that the results can be reproduced. In addition, the journal has the following features:  

  • The breadth of coverage ranges from purely theoretical hypotheses to entirely practical solutions.
  • Authors from non-English speaking countries will receive language support.
  • Every submission goes through a fair, rapid, and rigorous peer review process overseen by full-time professional editors.
  • Authors from emerging countries enjoy the same high-quality services as those from the developed world.
  • The accepted papers are published quickly after undergoing a rigorous review process.
  • The published papers have maximum exposure under our open-access policy.
  • The full details of the calculation and experimental procedure, as well as source codes, can be submitted as supplemental material.

Scope

The scope of the journal covers, but is not limited to the following topics:

  • Operational and Strategic Analysis
  • Strategic Planning and Management
  • Business Analytics and Management
  • Problem Structuring Methods
  • Knowledge and Information Management
  • Decision Analytics and Systems
  • Data-Driven Analysis
  • Digitalizing and Emerging Technologies
  • Accounting and Quantitative Finance
  • Health and Tourism Management
  • Project and Risk Management
  • Complexity and Uncertainty Management
  • Performance Efficiency
  • Innovative Applications of Decision Science in New Themes
Articles
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Abstract

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IT, increasingly recognized as a vital contributor to competitive advantage, plays an indispensable role in augmenting business value. Effective implementation of IT Governance (ITG) mechanisms, comprising structures of responsibility, control processes, communication protocols, and decision rights, has been found to foster alignment between IT and business objectives. Such alignment is particularly critical for Small and Medium-sized Enterprises (SMEs), where the amplified business value can be realized. Yet, SMEs often grapple with challenges in implementing ITG, owing to resource constraints, communication hurdles, resistance to change, and technological complexity. The present study delves into this complex dynamic within a medium-sized industry located in southern Minas Gerais, Brazil, investigating the deployment of ITG mechanisms as a means to enhance business value through IT. An interpretivist approach characterizes the qualitative, inductive study, drawing on a case study to probe the links between ITG mechanisms, IT capabilities, and business value. Four hypotheses are put forth in the discourse, shedding light on the intricate relationships that these elements share. The findings indicate that ITG mechanisms exert a positive impact on IT business value, albeit with identifiable weaknesses and potential areas for enhancement. More effective alignment between IT and business can be achieved by addressing these shortcomings, thereby mitigating risks such as demotivation among IT professionals and resistance to change.

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The prevalent economic principle of weak disposability has been the foundation for studies in environmental assessment using Data Envelopment Analysis (DEA). Recently, a shift from classical free disposability to weak disposability has been observed as an emerging trend for treating undesirable factors in research. Weak disposability is perceived to have significant analytical power in measuring the efficiency of Decision-Making Units (DMUs). Addressing the increment of undesirable inputs, a non-radial model grounded on a non-uniform augment factor is presented. The application of this proposed model anticipates a suitable quantity for the increment of undesirable inputs. Concurrently, the model ensures a corresponding reduction in desirable inputs. Numerical instances illuminate the practicality and robustness of the proposed model and demonstrate its superior performance over its original counterpart.

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The prevalence of decision-making methodologies catering to quantitative attributes considerably overshadows those designed for qualitative attributes. This study seeks to address this gap by extending the traditional Ideal Solutions with Constraint on Values (ISOCOV) method to a fuzzy environment, thereby enhancing its capability to handle optimal decision-making based on qualitative attributes. In this improved method, $\alpha$-cut representations are employed for managing linguistic value constraints in performance-oriented data. The proposed approach is then utilized for the selection of nanomaterials, evaluated based on five essential criteria. By subjecting the performance-based decision matrix to the modified fuzzy method, a ranking of alternatives is derived. Compared to its traditional counterpart, this fuzzy-enhanced ISOCOV method demonstrates enhanced efficiency in processing qualitative data, promising its potential compatibility and utility for decision makers dealing with performance-oriented decision-making.

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This study introduces a novel approach to decision-making problems, especially in the context of hard disk selection, using the concept of the fuzzy parameterized single-valued neutrosophic soft set (FP-SVNSS). Primarily, the focus is on assigning different levels of importance to each parameter within the set, which enables a more nuanced and flexible evaluation process. This is underpinned by the development of several related concepts and the definition of basic operations such as complement, subset, union, and intersection. In the quest for clarity, the nuances of these operations and the overall framework of the FP-SVNSS method are illustrated via numerous examples. The superiority of the FP-SVNSS method over other decision-making methods is affirmed through a comprehensive comparison. The unique strength of the proposed approach lies in its ability to handle imperfect, ambiguous, and inconsistent data. Consequently, it offers greater accuracy and practicality than existing models. In the latter part of the study, the theory is put to the test by tackling a real-world decision-making problem. The selected case involves the optimal selection of hard disks, a common issue in information technology procurement. The successful application of the FP-SVNSS method to this issue provides a compelling demonstration of its potential value in practical settings. Through the exploration of this innovative decision-making methodology, this research contributes to the broader field of soft computing and decision-making theory. The findings suggest a myriad of future applications of the FP-SVNSS method in dealing with various complex and fuzzy problems in both academic and industrial contexts.

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Neutrosophic sets, expanded from the constructs of fuzzy and intuitionistic fuzzy sets, can accommodate degrees of truth, indeterminacy, and falsity for each element. This attribute equips them with an aptitude for a more refined interpretation of ambiguous or uncertain data. This study presents an innovative application of Neutrosophic Data Envelopment Analysis (Neu-DEA), incorporating pentagonal neutrosophic numbers in both input and output data. This novel methodology involves the transformation of traditional DEA models into a Pentagonal neutrosophic DEA model, subsequently converting it into a Crisp Linear Programming (CrLP) model. A unique ranking function is integral to this process. Performance evaluation of decision-making units (DMUs) is accomplished through the resolution of the CrLP model, with subsequent ranking of the DMUs based on their relative efficiency scores. The utility and effectiveness of this novel technique is validated through a numerical example.

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This study emphasizes the limitations observed in the prevailing neutrosophic AHP group decision-making model. To address these limitations, an augmented neutrosophic AHP group decision-making model has been established, leveraging the potential of neutrosophic trapezoidal numbers. A comprehensive exploration of a key property of the neutrosophic trapezoidal pairwise comparison matrix is performed in this research, revealing that the current model inadequately maintains the reciprocal property of the neutrosophic trapezoidal pairwise comparison matrix. A real-world decision-making problem is resolved utilizing the introduced model, and a comparative analysis is furnished between the pre-existing neutrosophic AHP group decision-making model and the revised version. The results unequivocally demonstrate the superiority of the enhanced model.

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The present study scrutinizes the decision-making strategies and enhancement techniques aimed at minimizing progressive collapse in steel moment frame structures. Comparative analyses of both three-story and five-story frames were carried out, focusing on the reinforcement of external frames through the introduction of bracing. Employing ABAQUS, a sophisticated finite element software, simulations of these frames resulted in the exploration of 16 unique steel frame configurations. In an assessment of column loss impact, the middle column of the lowest story in the supporting frame was deliberately removed. Findings reveal that the axial force of the beams adjacent to the removal site in the three-story frame escalates approximately 2.15 times in relation to the values connected with corner beam extraction. Conversely, the increase in axial force of the beams adjacent to the column removal in the five-story frame varied between 5% and 49% of the respective values for beam removal conditions. Furthermore, a reduction in maximum displacement was found to correlate with an increase in the number of stories. Maximum displacements in five-story frames were observed to be roughly 7% to 22% of the corresponding values in three-story frames, with variability depending on the location of the removed column. These results indicate that the effectiveness of bracing-based reinforcement to prevent progressive collapse in steel moment frame structures intensifies with the increase in the number of stories. This performance enhancement against progressive collapse becomes particularly significant for structures comprising a higher number of stories.

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The purpose of this empirical study is to evaluate and explain the fiscal performance of Indian states from 2009-10 to 2014-15 using a network DEA approach. While previous research has compared India's fiscal and developmental performance at the sub-national level, this study departs from the extant literature by evaluating state-wise performance at a disaggregated level. The states are first compared based on their tax mobilization and then evaluated in terms of development spending and overall financial performance. Censored regression analysis is also used to explore the impact of outstanding liabilities on GDP ratio, Gross Capital Formation, and GDP growth rate. The results indicate a positive association between efficiency scores and GDP growth rate and log of Gross Capital Formation. However, the linkage between efficiency and the outstanding liabilities ratio is negative. These findings suggest the need for a balanced approach to government spending to avoid the recurrence of the debt crisis in the future.

Abstract

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Linear programming problems (LPP) have been widely used to address real-world problems, including the stock portfolio problem. In this study, an approach is proposed that incorporates Pythagorean fuzzy numbers (PFN) in the rate of risked return, portfolio risk amount, and expected return rate. The problem is transformed into a deterministic form using the scoring function, and a solution algorithm is being developed to provide portfolio investment choices. One of the key features of this study is the investor's ability to choose risk coefficients to increase expected returns and set their circumstances while determining their strategies. The optimum return rate is identified using the TORA program. An example is provided to demonstrate the efficiency and reliability of the method.

Abstract

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A bibliometric analysis is presented in this paper to examine the use of Data Envelopment Analysis (DEA) in the domain of Supply Chain Management (SCM). The research trends on DEA in SCM from 2000 to 2023 are explored, using data obtained from the Web of Science database (WoS) and VOS viewer software for detailed mapping of the articles. The numerous articles that use DEA in SCM worldwide are analyzed and summarized in this bibliometric study, producing a complete assessment of DEA in the field from 352 academic papers published in high-ranking publications. The articles are classified according to the year of publication, countries of the author(s), working areas, journals, and content of studies. Based on the findings of this research, tremendous potential is shown for DEA as a suitable evaluation instrument for future studies on sustainability concerns in SCM.

Abstract

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In today's rapidly changing economic environment, the success of organizations is largely determined by their organizational efficiency. The impact of innovation and strategic planning on organizational performance is the focus of this study, which was conducted in 2022 among middle-level managers and employees of public and private sector hospitals. A total of 63 questionnaires were collected, resulting in a response rate of approximately 72.41%. Structural equation modeling with Smart PLS3 software was utilized to examine the relationships between the variables. The results indicate that organizational performance is positively impacted by innovation. Furthermore, the study found that the performance of organizations is positively influenced by strategic planning. These findings have significant implications for managers and decision-makers in the healthcare sector and can inform the development of effective strategies for improving organizational performance.

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Effective decision-making relies on access to timely and accurate information, which is widely regarded as a valuable asset in the capital market. Accounting information is no exception, and it is critical for managers to provide such information promptly to advance their firms' economic activities. This study investigates the relationship between managers' ability and the timeliness of financial reporting, testing three research hypotheses through linear regression analysis. The statistical population comprises 115 firms listed on the Tehran Stock Exchange between 2012 and 2021, with 1150 firm-year observations. The delay in the auditor's report serves as a proxy for financial reporting timeliness. Managers' abilities are measured using Demerjian et al.'s model [1]. The findings reveal a significant, positive relationship between managerial ability and the timeliness of financial reporting, indicating that higher managerial ability is associated with lower financial reporting delay. Additionally, the results suggest that the relationship between managerial ability and financial reporting timeliness is moderated by the size of the auditing firm and the firm itself.
Open Access
Research article
Investigation of IoT-Integrated Smart Homes
rita de fátima muniz ,
sheila maria muniz
|
Available online: 03-30-2023

Abstract

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The growth of internet-connected services, known as the Internet of Things (IoT), has led to a proliferation of new applications. One such application is the smart home, where household appliances and devices can be remotely monitored and controlled. To achieve this, appropriate network architecture and standard protocols are used to connect various devices to the internet, resulting in an "IoT-based smart home." However, managing and regulating the entire system, as well as ensuring the security of servers and smart homes, present challenges. This paper presents an IoT architecture and discusses the issues and difficulties faced by IoT-enabled smart home systems while also proposing potential solutions. Smart homes simplify home automation tasks and offer greater convenience to users. The Industrial Wireless Sensor Network (WSN) has already demonstrated the potential of IoT, and the integration of IoT into smart homes is a logical next step. The article explores various aspects of IoT-based smart homes and highlights the need for proper management and security protocols. In conclusion, the study investigates the integration of IoT into smart homes, highlighting the challenges and solutions associated with the development of an IoT-based smart home system. The objective is to provide a framework for the development and management of IoT-based smart homes that will enhance the quality of life for users.

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