• The Journal of Fisheries Business Administration
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• v.48 no.1
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• pp.31-49
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• 2017

This study focuses on developing a theoretical framework for evaluating Operational Performance of the Marine Forest Creation project on a balanced and comprehensive perspective by using BSC, AHP, and IPA. Also, the purpose of this study is empirically to analyze operational performance of the project and to suggest the future improvement plan. For this purpose, We will first determine the critical success factors(CSF) and key performance indicators(KPI) required for evaluating the performance of the Marine Forest Creation project from the four perspectives of BSC. And, After determining the weight for each of CSF, KPI, and four perspectives of BSC by using AHP, we will measure the project performance. We will also conduct IPA analysis to propose the direction of improvement of the Marine Forest Creation project. The results of this study are as follows. First, this study has drawn 8 critical success factors and 16 key performance indicators for four BSC perspectives based on the theoretical considerations and expert interview survey. Second, as a result of deriving relative importance of BSC perspectives using AHP, customer perspective was the highest, followed by financial perspective, learning and growth perspective, and internal process perspective. Third, as the results of analyzing the importance and performance of BSC perspectives using IPA, customer perspective was the maintenance reinforcement category, financial perspective was the key improvement category, internal process perspective and learning and growth perspective were gradual improvement category. This study has a great academic significance in terms of BSC first tried to evaluate the performance of the Marine Forest Creation project. The results of this study are expected to lead to various discussions for a balanced and comprehensive verification of Marine Forest Creation project performance.

• International Journal of Quality Innovation
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• v.8 no.3
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• pp.156-172
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• 2007

The high-tech industry is the economic lifeline for Taiwan. Its characteristics are short product life cycle, rapid changes in the market, and a high obsolescence rate for new products. Under globalization, the high-tech industry has adopted Information Technology (IT) to shorten the manufacturing process, reduce costs and conduct product research and development (R&D) to increase the core competence of enterprises and achieve the goal of sustainable operations. Enterprises should actively strengthen their integration with internal and external resources and lead in R&D management to increase industrial operating performance. Effectively managing operations and R&D management evaluation in Taiwan's High-tech Industry has become a critical subject. This study adopted 4 major Balanced Scorecard (BSC) perspectives to establish the Total Performance Evaluation Indicators for the R&D management department in Taiwan's High-tech Industry. The Analytic Network Process (ANP) was applied to evaluate the overall performance of the R&D management department. The research framework is divided into 2 phases. The first phase is combined with the 4 major perspectives, Financial, Customer, Internal Business Process and Learning and Growth, as the related indicators for each measurement perspective. The Key Performance Indicators (KPI) were selected using Factor Analysis to identify the key factor from the complicated indicators. The relationship between the characteristics of each BSC's evaluation perspective is dependence and feedback. This study applied ANP to conduct the calculation and adjustment of correlation between each KPI, and determine on their relative weights for the objective KPI. The "Financial Perspective" for R&D management department in Taiwan's High-tech Industry focused on the budget achievement rate of R&D management. The weight indicator value is (0.05863). The "Customer Perspective" focused on problem-solving satisfaction. The weight value of this indicator is (0.17549). The "Internal Business Process Perspective" focused on the quantity and quality of R&D. The weight value of this indicator is (0.13506). The "Learning and Growth Perspective" focused on improving competence in the research personnel's professional techniques. The weight value of this indicator is (0.02789). From the total weighting indicators, the order of the Performance Indicators for the R&D management department in Taiwan's High-tech Industry is: (1) Customer Perspective; (2) Internal Business Process Perspective; (3) Financial Perspective; and (4) Learning and Growth Perspective.

• 한국벤처창업학회:학술대회논문집
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• 2007.11a
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• pp.291-325
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• 2007

• Journal of Distribution Science
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• v.14 no.1
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• pp.85-91
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• 2016

Purpose - Recently, the importance of rapid change in business models is more and more increasing as the change of information technology environment. Therefore, a variety of business models have emerged. On the other hand, there is no company that can generate revenue. Many enterprises are still maintained while they are changing only their appearance of the business model. Business model is important in e-commerce. However, a lot of researches are targeted only in Web sites. Thus, e-commerce companies do not have the infrastructure for measuring and business models. The purpose of paper is to evaluate factors which are related with the structuring of the e-commerce success. And it proposed a financial items and non-financial items. From the perspectives of administrators and managers, the paper researches the possibility for E-Commerce Evaluation Model as a valuable criteria in measuring business model. Research design, data and methodology - The methods are taken by the classification for the type of business-to-business transactions, transactions subject, and the degree of integration and innovation capabilities. Financial and Non-financial value is used to build E-Commerce Evaluation Model. Evaluation items in Administration's perspective are composed with enhance the effectiveness of the mission, improving efficiency of the administration, and control of costs. Evaluation items in the customer's perspective were measured by customer participation and cooperation with customer Satisfaction. In the case of researching the information system's perspective, three criteria are used such as adequacy of the development process, improvement of the quality of service, and maintenance of standardized information technology. In researching for the ICT competence's perspective, evaluation items were composed of enhanced user capabilities, utilizing new technologies, and empowerment of information workers. Results - In this paper, E-Commerce Evaluation Model with financial and non-financial perspectives shows the possibility to be criteria in the case of measuring business model. Moreover, it gives the positive expectation to be successful criteria. But the research may have ambiguity in its essential concept because it cannot avoid the limitation in selecting evaluation tools from merely the model. It is impossible to exclude the possibility in omitting specific properties which may take place in actual case study. Therefore, In hereafter research, it is necessary to include actual case study research in selecting evaluation tools in order to improve the limit point. Actual measurement items which are derived from actual case study should be subdivided, and it would be more effective to complete the research. Conclusions - In rapid change in business models, there are various kinds of business models. But it is general situation that companies which adopted business models have not brought in revenue. For this reason, E-Commerce Evaluation Model is needed as an important factor for the structuring of the e-commerce success. Although it has the limitation in selecting evaluation tools from model, E-Commerce Evaluation Model proposes the implication for measuring business models as a valuable criteria.

• Industrial Engineering and Management Systems
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• v.12 no.4
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• pp.406-415
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• 2013

The present study examines a set of financial ratios in predicting the up or down movements of stock prices in the context of a securities law, the Sarbanes-Oxley Act of 2002 (SOA), controlling for macroeconomic variables. Using the logistic regression with proxy betas to alleviate the incompatibility problem between the firm-specific financial ratios and macroeconomic indicators, we report evidence that financial ratios are meaningful predictors of stock price changes, which subdue the influence of macroeconomic indicators on stock returns, and more importantly that the SOA truly improves the stock price predictability of financial ratios for the markup sample. The empirical results further suggest that industry and time effects exist and that for the markdown sample the SOA actually deteriorates the predictive power of financial ratios.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.241-250
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• 2020

This study examines the relationship between the attributes of board structure and the likelihood of financial distress for the non-financial sector of an emerging market characterized by concentrated ownership and family-controlled business. The present study utilized panel logistic regression to estimate the relationship between board structure attributes and the likelihood of financial distress. We used Altman Z-Score as a proxy for firm financial distress, as this tool measures the financial distress inversely. The study finds a significant relationship between board size and the likelihood of financial distress. The results show that a one-unit increase in board size would decrease the probability of financial distress by 3.4%. Further, we observe that a greater level of board independence is associated with a lower likelihood of financial distress. A one-unit increase in board independence would decrease the probability of financial distress by 20.4%. We also find a significant positive impact of leverage on the likelihood of financial distress. The present study contributes to the body of literature on board structure attributes and likelihood of financial distress in emerging markets, like Pakistan. Furthermore, the findings would be beneficial for corporate policymakers and investors in formulating corporate financial strategy and predicting business failure.

• Journal of Navigation and Port Research
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• v.28 no.3
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• pp.169-175
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• 2004

The purpose of this study is to present the detailed national strategy, from the financial point of view, for global logistics center in the Northeast Asia using the Balance Scorecard Model(BSC) as well as SWOT analysis. It is a core national challenge for Korea to emerge as a logistics hub of the Northeast Asian region, which is directly related to its very existence in the 21st century. In the process of formulating such a vital strategy, various aspects must be considered In conclusion, this study has successfully deduced the preemptive strategy for exceeding other competitors from the financial (budgetary) perspective and the logistics strategy from inner process standpoint of maximizing logistics outcome by carrying out efficient logistics policy.

• Journal of Digital Convergence
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• v.13 no.8
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• pp.145-151
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• 2015

In this study, we analyze using a structural equation model if an appropriate composite relations among the perspectives(Learning & Growth, Internal Business Process, Customer, Financial perspective) of the balanced scorecard are formed to achieve the ultimate goal in Chinese SMEs. In this study, we find that Learning & Growth perspective is related positively to Financial perspective directly and indirectly via Internal Business Process and also find that for success the careful management is required for Learning & Growth and Internal Business Process perspective. The results of this study will provide information about where the need to emphasis on management to improve the financial performance in Chinese SMEs.

• Korean Journal of Human Ecology
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• v.18 no.4
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• pp.945-958
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• 2009

This study is to examine the factors affecting success of business withhigh accomplishments in customer recognition and financial aspect in the fashion industry. In addition, through survey on consumers and interviews on industry officials who concerned fashion brand, perceived success factors were compared between consumer and industry groups. This study selected a total of 20 brands, which were 5 brands per 4 categories(e.g., women, men, sports and casual wear), with high customer satisfaction and customer loyalty in consumer's perspective and high revenues, revenue growth, and profit rate in 2004 in a financial perspective. The survey on consumer group and interviews on officials in industry were conducted simultaneously. One thousand respondents were obtained from survey on consumers and 40 respondents were obtained from interviews on industry officials. Multiple regression analysis and t-test were used for data analysis via the SPSS 12.0 program. The result of this study was as following. From a consumer perspective, respondents recognized that both consumer satisfaction and brand revenues were positively related to brand factors of consumer, product and marketing. From an industry's perspective, consumer, product and marketing factors affected consumer satisfaction as a brand success factor. In comparison of perception difference in brand success factors between consumer and industry groups, industry group was more likely to concern about the importance of brand success than consumers. In addition, the consumer group perceived the most highly consumer factor as a brand success factor, followed by product and marketing and external environment factors, while industry group did in order of consumer, marketing, product, and external environment factors, which indicated significant difference in perceptions of the two groups. Through this study on consumer satisfaction to improve positive and amicable buying behavior and comparative analysis on difference of perception of consumers and industry on factorsfor financial ability and revenue increase, the foundation for strategy establishment of brand distinction in fashion industry can be provided.

• Journal of Distribution Science
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• v.15 no.12
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• pp.95-102
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• 2017

Purpose - This study aims to develop diagnostic indices for managerial performance of agro-food distribution corporations. In particular, weights of diagnostic indices were estimated using the AHP method. Management diagnosis on agro-food distribution corporations is expected to increase their competitiveness in the domestic market as well as in international markets. Research design, data, and methodology - It develops weights or importance of the diagnostic indices based upon the survey of 21 experts in food distribution management. The survey was carried out using e-mail. Management diagnostic indices were developed based upon four BSC(Balanced Scorecard) perspectives of finance, learning/growth/leadership, customer, and internal process/technology. Results - Diagnostic indices on financial perspective consist on profitability, productivity, growth, stability and activity. Learning and leadership perspective indices consist of management will, CEO leadership, level of learning, innovation, and level of management information system. Customer perspective indices are branding, customer and channel management and internal process/technology indices consist of fourteen sub-indices representing technologies, efficiency, and dynamics. It was estimated that the weight of financial perspective index was 0.3, internal process/technology perspective index 0.248, customer category index 0.247, and learning, growth and leadership perspective index 0.205. This study also estimates weights of sub-indices for managerial diagnosis by four different perspectives. Estimated weight of profitability (0.085) is the greatest among financial perspective indices, followed by stability (0.072), growth (0.053), productivity (0.051), and activity (0.038). While estimated weights of leadership, capability, and information indices are 0.100, 0.061, and 0.044 respectively, weights of marketing, customer management, and quality and service indices are 0.104, 0.093, and 0.051, respectively. Among internal process/technology perspective, estimated weights of efficiency, technology, and innovation indices are 0.106, 0.088, and 0.054, respectively. Conclusions - The diagnostic indices for managerial performance of agro-food distribution corporations would be utilized by agro-food distribution corporations themselves, extension service institutions, and consultants. It is also expected that central and local governments use diagnostic indices developed in this study for the purpose of evaluating the effects of governmental support programs for agro-food distribution corporations. Futhermore researchers and consultants would modify diagnostic indices developed in this study, reflecting characteristics and situation of types of agro-food distribution corporations.