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Acadlore takes over the publication of JCGIRM from 2022 Vol. 9, No. 2. The preceding volumes were published under a CC BY license by the previous owner, and displayed here as agreed between Acadlore and the owner.

This issue/volume is not published by Acadlore.
Volume 2, Issue 1, 2015

Abstract

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This research is to construct a model for an accurate prediction of financial distress by finding and including other variables outside the data/information derived the accounting reports. The population of this research is composed of all the non-financial companies listed on the Indonesia Stock Exchange. As for the samples, they are the companies experiencing financial distress which is indicated by their negative profits in two consecutive years; and the control group is composed of the companies in the same industry group with the total asset of almost the same as that of the companies experiencing financial distress; only that these companies do not experience financial distress.The model to construct the financial distress prediction is the Binary Logistic Regression. The results show that the variables of the group of financial ratios, namely liquidity, profitability, leverage, activity, and cash flow, can be used as the variables for the financial distress prediction. However, the variables of the group of market and macroeconomic ratios cannot be employed to predict. Meanwhile, the variable of the group of industry treated as a moderating dummy variable does not indicate to have any moderating influence on the variables of financial ratio that previously proved to have significant influence on the possibility of the financial distress of a company.

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This study uses the Graph Model for Conflict Resolution (GMCR) as an approach to describe the optimal solution for resolving the conflict which happened between IDT and its subsidiary IDMT. This conflict arose when IDMT used IDT’s 2.1 frequency band.

The main players in the conflict is IDT with its subsidiaries namely IDMT. The other parties involved in the conflict were KTI NGO, Central Jakarta District Court, Attorney General's Office and Policy Institute (MCIT and Administrative Court). The method used in this research is qualitative research that uses literature review as a tool for data collection

Based on the stability analysis, The equilibrium scenario for all the parties in frame I and frame II was the first scenario. The first scenario happened when, KTI NGO reported that there was an alleged misuse of mobile cellular network in the frequency of 2.1 GHz / 3G conducted by IDT and IDMT. IDT and IDMT sent out a counter report stating that they had been extorted by KTI NGO. The Central Jakarta District Court then concluded that KTI NGO had been guilty of extorting IDT and IDMT. However the Attorney General's Office continued their investigation on IDT and IDMT because of their suspected misuse of mobile cellular network and on the Policy Institute who defended IDT and IDMT. Based on the outcome of the conflict as reported on online news portals, it can be concluded there is correlation between the outcome of the conflict and the stable solution (equilibrium) generated through the GCMR approach. The implications of this study can be used as a reference for the Indonesian government and stakeholders in the telecommunications industry to resolve similar conflict in the telecommunications cooperation agreement.

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The present study attempts to investigate the relations between the communications on the social network platforms and its effect on the purchase intentions of the consumers and more specifically the young adolescents. Further, this study also attempts to investigate how these relationships vary across young people possessing different learning styles. This study analysed the data in three part. The initial was an exploratory study which consisted of maintaining and excluding those items which enabled the analysis of other dimensions or factors with a suitable degree of reliability or uni-dimensionality. The second part was an exploratory and confirmatory factor analysis and the third being the structural equation modelling, which discarded those items which did not enable suitable dimensionality for the entire construct in the model. Confirmatory Factor Analysis (CFA) and Structural Equation Modelling (SEM) was used to test the present model using AMOS 21 software and basic calculations in statistics such as mean, standard deviation, factor analysis, correlation will be performed using SPSS 21. The study shows that the social media communication influence brand attitude and image leading to purchase intention.

Open Access
Research article
Green Lean Six Sigma, Managerial Innovation and Financial Performance in Automotive Industry
nurul fadly habidin ,
farah izzaida mohd zamri ,
nursyazwani mohd fuzi ,
mad ithnin salleh ,
nor azrin md latip
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Available online: 03-23-2015

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Competition in the automotive industry has become increasingly in challenging tandem with time and advances in technology. Based on this situation, it is important for Malaysia to be at the top of the advanced automotive manufacturers, especially among ASEAN members. Therefore, this study aimed to prove not only product innovation as a contributor to the success of the automotive industry, but also has its own role management. By using Green Lean Six Sigma practices (GLSS) as the independent variable, it can help bring about a transformation of management which can improve financial performance. The Structural Equation Modelling (SEM) has been proposed as conceptual model in this study. Based on proposed research model and literature review, a research hypothesis is being developed.

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One of the biggest questions battling governments around the world is performance of State Owned Enterprises (SOEs), as they are one of the biggest companies in every country and have a large share in economics growth and prosperity. Power, water and other types of independence of each country are mainly based on resources controlled by State Owned Enterprises. This issue became more important in last few decades due to globalization and market liberalization. Paper analyses performance of SOEs from the Republic of Slovenia and Bosnia and Herzegovina. To understands differences and similarities between SOEs from Bosnia and Herzegovina and Slovenia we have conducted a comparison analysis. Measuring the success of these SOEs is based on the analysis of financial statements for period from 2008 to 2012, using indicators of profitability and market indicators. The results reveal that SOEs from Bosnia and Herzegovina have poor governance and much lower performance than SOEs from Slovenia. The broad conclusion that emerges from the results is that government of Bosnia and Herzegovina has to conduct extensive reforms and reorganization of its S SOEs in order to survive and grow.

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industry and commercial world. This study aimed at analysing the adoption and usage of Internet banking in Zimbabwe. It covered issues such as various banking services available through internet banking in Zimbabwe, factors influencing internet banking adoption in Zimbabwe, factors impacting negatively on customers’ utilization of internet banking and banks’ perceptions of internet banking. Questionnaires were administered to selected banking customers and staff of commercial banks using purposive and simple random sampling techniques. Findings from the study indicate that internet banking services in Zimbabwe include checking of balances and account activity, request for cheque book and same bank funds transfer. Lack of awareness on internet banking security, accessibility, lack of familiarity, age, gender, educational level and cultural resistance are some of the factors that affect internet banking adoption among customers. Internet banking is still in its teething stage and most of the banks do not offer full-fledged Internet banking though they have plans to do so. Bankers see Internet banking as a strategic opportunity that can be used to reduce transaction costs and enhance customer service delivery. It is therefore recommended that banks develop appropriate internet banking marketing strategies that maximizes value for customers and satisfaction in the long run.

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Total Productive Maintenance (TPM) is an approach in Preventive Maintenance which can be used by a company to evaluate the effectiveness of the company’s facility. This evaluation is conducted to improve the facility value of Overall Equipment Effectiveness (OEE) and to eliminate the main loss known as The Six Big Losses. TPM is a maintenance approach focusing on the equipment which is suitable to be implemented on the manufacture company and production industries. This research is conducted on the Ball Tea machine in PT Kabepe Chakra which is a production machine to dry tea. The calculation of OEE value is conducted based on the data in January-December 2014, the calculation results show that the OEE value is 59.30897433% and it is still under the World Class standard. The calculation of Six Big Losses shows that the percentage of the most dominant of machine losses is on the Set-Up and Adjustment Loss which is 42.6768183%. The research results can be used to show that the effectiveness of Tea Ball machine still has to be improved by focusing on the most dominant loss elimination.

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We studied the performance of 187 firms drawn from MNC subsidiaries (55), domestic private-owned (76), and domestic state-owned (56) firms operating in India. The underlying objective was to assess which group of firm demonstrated superior economic performance and competitiveness. We analyzed data for two periods of time 2002-03 and 2011-12 using four measures of economic performance namely operating profit margin (OPM), net profit margin (NPM), return on net worth (RONW) and asset turnover ratio (ATR). As the data set did not lend itself to parametric analysis, we adopted the nonparametric method. We employed Kruskal-Wallis H Test, Mann-Whitney U Test, Two-Step Cluster Analysis, and Chi-Square Test. We found that domestic private-owned firms performed better and were more competitive than the other two groups of firms.

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Indian Consumers always remain a marketer’s challenge. The great Indian ever increasing consuming class has arrived and is waiting to be served. Currently as the services sector contributes 60% to GDP of India (Source: IBEF) and 50% population is below 25 years of age, 65% population of the country is below 35 years of age (Census of 2011), Indian retail sector promises to scale new heights in times to come. India’s largest retailers (in terms of turnover) are Future Group, Aditya Birla, Shoppers Stop, RPG, WEST SIDE, Life Style, Ebony, Pyramid and Globus. In Bhubaneswar, the field of Groceries and Consumer Durables is dominated by organized new retail outlets like Reliance Fresh, BIG BAZZAR, Pantaloon, The World, The Grains etc. Hence, data for the purpose of the study was collected from who patronize these retail outlets. The perceptions of the consumers as regards the new retail outlets and select variables like educational qualification and income of the consumers were analyzed by applying the Chi- Square test. Factor Analysis is incorporated to identify the factors that influence the buying decision of consumers. Five factors were identified, viz., product features & assortments, extended marketing mix, pragmatic consumption, customer relationship & loyalty and sales offers. The Chi-Square test was also applied to assess the significance of consumer perception factors. It is concluded that pragmatism and functionality are the hall mark of modern consumption. This research paper is an honest endeavor of the researcher to understand consumer psychology for ONRO.

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