• Journal of Industrial Convergence
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• v.7 no.2
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• pp.59-72
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• 2009

This study analyzes influence factors on ethical behavior in organizational member and organizational effectiveness. in business ethics contexts. To achieve this research objective reviewed the academic literatures and institutional polices related to business ethics. Especially, this study focused on the relationship between influence factors and effectiveness in business ethics.

• International Commerce and Information Review
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• v.10 no.3
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• pp.221-238
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• 2008

This paper examined the supply chain management partnerships factors and business performance in textile industry. To build a global network, we should consider the following critical factors such as lead-time reduction, information sharing, and inventory management. The purpose of this study is to focus on QR (Quick Response) of SCM in textile industries to clarify which of the SCM factors contribute to business performance for the SCM firms. Based on the analysis of eighth-six cases, the following results were found. First, partnerships factors of supply chain management have a positively significant influence on responsiveness of supply chain management. Second, partnerships factors of supply chain management have a positively significant influence on flexibility of supply chain management. This study suggests that partnerships are main factors for the business performance. Especially, our empirical evidence shows that capacity of firms practicing SCM, information techniques, and partnerships make the firms' business performance more responsive and flexible.

• The Journal of Information Systems
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• v.23 no.4
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• pp.25-47
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• 2014

The purpose of this study is to identify and comprehensively explain the SCM-related factors involved in the realization of RTE, including the quality of information concerning SCM, the quality of SCM partnerships, and relationship controlling factors (planning control, behavioral control, and outcome control). This study systematizes the interactions among these factors into a form of a model, elucidating how these interactions affect and shape RTE characteristics. To validate the research model proposed in the study, filed survey was conducted with 79 staffs in Korean company using SCM. The findings of the study can be summarized as follows: First, the quality of information concerning SCM had significant effect on the quality of SCM partnerships, planning control, behavioral control, and outcome control. Not only does the quality of SCM information directly influence the quality of SCM partnerships, planning control, behavioral control, and outcome control; but it also indirect influence on forecasting, agility, and visibility of SCM though its influence on the different forms of relationship control. Second, the quality of SCM partnerships also had significant effect on planning control, behavioral control, and outcome control. In addition to directly influencing these forms of relationship control, the quality of SCM partnerships also indirectly influenced forecasting, agility, and visibility though its influence on relationship control. Third, planning control significantly influenced forecasting, agility and visibility. Fourth, behavioral control significantly influenced forecasting, but neither agility nor visibility. Fifth, outcome control had significant influence on forecasting, agility, and visibility.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.983-989
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• 2009

This study aims to systematically identify direct and indirect factors that influence labor productivity and to build a model that mathematically quantifies them so as to efficiently manage and increase labor productivity in the construction work. This study was performed based on the productivity model for workers in reinforced concrete construction projects, because it aims to establish a general construction labor productivity model that reflects many factors that influence labor productivity. Using statistical analysis, we found that the components that significantly influence productivity were the worker component, the work characteristic component, the work technique component, the work management component, the equipment & materials component, and the work guide component, while the work delay components did not significantly influence productivity. In addition, a priority analysis was performed based on the components that showed statistically significant effects. The results of the analysis indicated that the influence of work management component and the work technique component is more than that of the worker component and the work characteristic component. The construction labor productivity model that was formulated in this study could be used for the determining the standard productivity during the initial planning stage, so the best strategy for increasing labor productivity could be formulated.

• International Area Studies Review
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• v.21 no.2
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• pp.197-218
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• 2017

The research ais to examine the relationship among service factors, customer's consumption value and revisit intentions in the multiplex cinema industry focusing on multiplex cinema service in Korea and Vietnam. This research also aims to compare the influence of service factors on consumption values and revisit intention between customers in Vietnam and Korea. Data using for this research were collected in Ho Chi Minh, Vietnam and Seoul, Korea through both offline and online survey. Research findings suggest that service factors significantly influence utilitarian values and hedonic values, then both hedonic and utilitarian value have a significant influence on customer's revisit intention in multiplex cinema. Specifically, utilitarian value shows a greater influence on revisit intention in Korea whereas hedonic value shows a greater influence on revisit intention in Vietnam.

• Journal of Distribution Science
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• v.12 no.12
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• pp.65-73
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• 2014

Purpose - Distribution of agricultural products is collapsing due to recent changes in the environment balance between retailers and producers. Further, the increase in the imports of agricultural products due to free trade has caused revenue problems for producers. Agricultural producers are faced with increasing difficulties, and the organized producing center's importance is growing each day. Korean organized producing centers' policies have been conducted since 2000, and have thus been sustained for more than 10 years. Organizing a producing center's business is focused on agricultural cooperative and farming association corporation this has already have been carried out. In addition, it has achieved significant results through these organizations, but it still has many problems. Research design, data, and methodology - Organized producing centers were classified for each type. The survey covered 90 organizations, based on factor analysis, analysis of balance, and logistic regression analysis. The results of the conducted factor analysis are as follows. Production, marketing, human resources management, organizational skills, post management, safety, and scale were classified as the seven kinds of factors. These are the factors that affect the organized producing centers through the variance analysis and logistic regression analysis. The purpose of such research and analysis is to suggest the direction for the future organized producing centers' policies. Result - Results of the analysis of the variance are listed below. Items by type, production, marketing, human resource management, and organizational skills are shown to depict differences between the factors. Organization form results show that production and marketing showed a difference between the factors. The size of the organization, production, and marketing showed the difference between the factors. The factors affect organized producing centers differently depending on the type shown, as seen from the results. In contrast, the logistic regression results of the analysis are as follows. Considering the results by the type of item, and the horticulture type of marketing, human resource management has a (+) influence. Grain type and production showed a (+) influence. New types of income affecting organizational skills have a (+) influence. Considering the results for each type of organization, the agricultural cooperative type of marketing and human resource management have (+) influence. Farming association corporation type of production has a (+) influence. As a result, the size of the organization is as follows. Large organizations are production, expressed in marketing with a (+) impact. Medium-size organizations are expressed with their size factor having a (+) impact. Small organizations are expressed with a safety factor having a (+) impact. Conclusions - The types of factors display different effects. One factor is that the type of a (+) represents the influence of other factors (-) as per factor symptomatology. Therefore, the type of measures to organize a strategy to maximize the benefits of your organization should be pursued. In addition, based on the support for small organizations, improving the quality of the producer organization should be considered.

• Journal of Distribution Science
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• v.15 no.10
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• pp.65-80
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• 2017

Purpose - The purpose of the present study is to discover success factors for small and medium-sized exporting enterprises and to derive factors that can positively influence the export of small and medium-sized enterprises. The ultimate goal is to contribute to the problem solution mentioned above. Research design, data, and methodology - A total of 258 filled-in questionnaires were collected; afterwards, frequency and cross tabulation analyses were conducted. The PPML analytic technique was applied to the core factors analyzed in Stages 1 and 2 to conduct regression analysis (cause and effect analysis and estimation method), thereby deriving success factors. Result - Based on detailed factors, a total of 15 success factors directly/indirectly involved in the success of export in small and medium-sized enterprises comprising 9 success factors, three positive effect factors for export, and three governments support policy factors were identified. Conclusions - The present paper is a rare empirical study paper that found and presented three detailed factors that positively influence on export and three government support policy factors, in addition to the above factors. Therefore, the results can be used by small and medium-sized enterprises that require not only previous studies, but also actual export success factor.

• Journal of Information Technology Applications and Management
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• v.27 no.1
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• pp.75-95
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• 2020

Smart Factory is the decisive factor of the Fourth Industrial Revolution and is a key field for national competitiveness. Until now, most smart factory research has focused on policy and technology. In order to spread more technology, it is necessary to study what factors influence the adoption of smart factory technology in the enterprise. Nevertheless, little research has been done. In this study, based on the UTAUT (Unified Theory of Acceptance and Use of Technology), which has been proved through many years of research, I have studied the factors that influence the acceptance of smart factory technology. As a result of research, performance expectancy, social influence, and facilitating conditions of UTAUT model had a positive(+) effect on behavior intention. Their relationship of influence was in the order of performance expectancy (β = .459)> facilitating conditions (β = .212)> social influence (β = .210). However, it was found that the effort expectancy did not affect the behavior intention, and the impact of the newly perceived risk on the behavior intention to use was not confirmed. The main reason is that the acceptance of smart factory technology is not a matter of personal interest but a matter of organizational choice. Trust, on the other hand, was found to be partially mediated between performance expectancy, facilitating conditions, social influence and behavior intention. For many years, many researchers have validated the UTAUT, which has been validated through various empirical studies. It is academically meaningful to begin the study of factors affecting the acceptance of smart factory technology in terms of the UTAUT. In practice, it is necessary to provide SME employees with more information related to the introduction of smart factories, to provide advanced services related to the establishment of smart factories, and to establish a standardized model for each industry.

• Proceedings of the Korean Geotechical Society Conference
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• 2009.09a
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• pp.524-528
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• 2009

An influence factors for soundness evaluation of river levee include resistibility and embankment for piping of ground consisting embankment in case piping, permeability coefficient of ground, height of embankment, the width of crest, material characteristics of embankment and foundation ground, shape of embankment slope, an influence for penetration of rainfall or river water in case slope stability. In this study, it was operated a feasibility investigation of existing design result, stability evaluation for permeability coefficient use and permeability coefficient change of foundation ground to investigate an influence in line with permeability coefficient change for result of river levee penetration analysis. The evaluation results of influence factors, the permeability coefficient used in design and it was evaluated influence in safety factor of piping. After the evaluation of influence factors, the permeability coefficient used in the design appears with the fact that differs in a design report about same soil, Accordingly, the stability investigation of embankment by application of literature data can affect stability evaluation results by change factors like a permeability coefficient, void ratio. It should be certainly used material properties by a test in soundness evaluation of river levee.

• Korean Journal of Social Welfare
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• v.61 no.1
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• pp.239-262
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• 2009

The purpose of this dissertation is to positively analyze the characteristics of job center consultants' interorganizational relations and factors that influence this linkage in order to better understand the employment service of South Korea. The material utilized for analysis was collected by surveying consultants and managers of 38 job centers and 364 middle managers while applying the method of hierarchical regression. The following is the summary of the research results. First, there is a difference in the influence factor between the number of consultant's organization linkage and frequency of contact. As seen from this result, if the number of organizations a consultant links is affected by the organization's objective working conditions such as the organization structure, position, and primary responsibilities, then the frequency of contact which indicates intimacy by frequent contact depends on the professional ability of the person in charge rather than objective conditions. Second, the analysis result of influence factors according to the type of organization also displayed different influence factors based on the type. Public organizations and economics related organizations are existent in all areas in the form of municipal offices, public corporation, the Chamber of Commerce and Industry, and labor organizations. Therefore, rather than the personal ability of the person in charge or the influence of other work environments, information of the organization and the actual activities of the head are more influential. On the other hand, private organizations embrace service organizations, employment target related organizations, corporations; they are differentially distributed, which is why they are more influential in organizational reform, decentralization, communication, and the professional ability of the person in charge is significantly influential.