• The Journal of Industrial Distribution & Business
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• v.13 no.1
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• pp.11-21
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• 2022

Purpose: This study predicted cost asymmetry as a determinant of investment efficiency, and empirically analyzed the relationship between cost stickiness and investment efficiency. Research design, data and methodology: Using a sample of 4,382 Korean firm-year observations over 2011-2017 period, I examined the relationship between cost stickiness and investment efficiency. Asymmetrical cost behavior is measured as model of Homburg and Nasev (2008) and model of Park, Koo, and Pae (2012). Investment efficiency is measured as Chen, Hope, Li, and Wang (2011)'s model. Results: Firms with cost stickiness are less efficient in their investment than firms with non-cost stickiness. In other words, cost stickiness is an empirical result that supports the previous research on cost decision-making from perspective of managers pursuing private benefits due to information asymmetry. Conclusions: By showing that the manager's decision-making on the cost behavior affects the investment efficiency corresponding to capital management, the implications for the mechanism for efficient capital management are provided. Through the empirical results, it was shown that the cost stickiness is a product of opportunistic cost decision-making due to information asymmetry, and it is to present evidence that expands the meaning of the causes of asymmetric cost behavior.

• Asia-Pacific Journal of Business
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• v.14 no.4
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• pp.129-150
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• 2023

Purpose - This study is based on the Theory of Planned Behavior and aims to explore the decision-making mechanisms of consumers participating in value co-creation activities within virtual brand communities. Methodology - The research involved a comprehensive survey of 405 participants from various virtual brand communities. Structural Equation Modeling (SEM) was used for data analysis, applying SPSS and AMOS to test the hypotheses. The study focused on community rules and regulations, community experience and community trust. Results - The research found that community rules and regulations significantly impact subjective norms and perceived behavioral control, but not directly influence consumer attitudes. Community experience positively affected consumer attitudes, subjective norms and perceived behavioral control. Community trust was found to positively influence these aspects of consumer decision-making. However, a gap was identified in the direct influence of perceived behavioral control on actual consumer behavior. Implications - The findings of this study contribute to a more comprehensive understanding of factors affecting consumer behavior in virtual brand communities. It underscores the necessity for community managers to develop strategies that consider these internal decision-making mechanisms, facilitating more effective community engagement. The study also identifies a potential area for future research in the direct influence of perceived behavioral control on actual consumer behavior.

• Korean Management Science Review
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• v.9 no.1
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• pp.53-65
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• 1992

Decision Support System(DSS) is an advanced information system concept prevailing since 1980s. It supports managers' decision making activities by providing not only information but decision alternatives. It essentially consists of the components of database, modelbase and dialogue systems. With the development of its databases, POSCO needs a number of modelbases in establishing DSSs in various areas such as production planning and investment. This research particularly focuses on establishment of a mid-and long-range investment DSS and investigates the necessity and the problems of an investment DSS and the decision criteria for investment priority. We (1) propose a modelbase which uses the concepts of Analytic Hierarchy Process(AHP) and Zero-Base Budgeting(ZBB), along with an appropriate scoring method, database and dialogue system to support the investment manager in evaluating investment proposals ; (2) implement the system using relational database management system ; and (3) discuss the results of implementing the investment DSS.

• The Journal of the Korea Contents Association
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• v.18 no.9
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• pp.209-216
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• 2018

This study examines the impact of corporate social responsibility activities (CSR) on cost stickiness. The asymmetrical cost behavior in which the cost reduction rate of a company is lower than the cost increase rate of an increase in sales is called cost stickiness. In this study, we separated the companies with CSR and those without CSR, and then compared their cost behaviors. This study reports that the cost stickiness of the companies performing the CSR is stronger than the companies that did not. This means that the company needs ongoing investments to create value through the CSR, so it is difficult to reduce committed resources involved immediately when sales declines. We expect that the result of this study provides meaningful insight to participants in the capital market by presenting empirical evidence that the firms' CSR can affect the managers' costs decisions.

• Korean Management Science Review
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• v.27 no.1
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• pp.1-16
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• 2010

According to appearance of a new competitive factor, as 'Green', Green Logistics becomes the important evaluation factor for many firms in emerging competitive environment. Despite this importance, the recognition level of Korean firms on Green Logistics lags behind that of leading companies in developed countries. In addition, the literature studies and practical strategies for systematic management control plans are very insufficient. In this paper, we establish decision making framework of Green Logistics by using ANP(analytic network process). Specifically, we suggest at first the overall concepts and issues of Green Logistics through literature studies. Next, we derive 6 clusters and 21 components forming the strategic green logistics, and then we conduct surveys for pairwise comparison of experts on Green Logistics and compute relative weights of the clusters, components and altanatives considering the feedback structure. We expect that the results of this study will be very helpful for managers to make strategic decisions.

• Journal of Information Technology Services
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• v.11 no.1
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• pp.173-196
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• 2012

Cloud computing is provided on demand service via the internet, allowing users to pay for the service they actually use. Since cloud computing is emerging stage in industry, many companies and government consider adopting the cloud computing. Actually a variety of factors may influence on the adopting decision making of cloud computing. The objective of this study is to explore the significant factors affecting the adoption decision of enterprise cloud computing. A research model has been suggested based on TOE framework and outsourcing decision framework. Based on 302 data collected from managers in various industries, the major findings are following. First, the benefit factors of cloud computing service such as agility and cost reduction have direct and positive effects on adoption of the service. Second, lock-in as a risk factor of cloud computing service has a negative effect while security has not. Third, both internal and external environment factors have positive effects on adoption of the service.

• Journal of East Asia Management
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• v.1 no.1
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• pp.1-27
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• 2020

Military experience has a great impact on a soldier ability to handle risks. Therefore, when those soldiers become managers, they may behave differently in making risky corporate decisions, especially in activities like the R&D investment. However, studies on how military experience affect R&D have been largely missing in the largest emerging economy, i.e. China, despite that the country hires a higher percentage of military managers than the US. In addition, it remains a question whether military managers affect the state-owned enterprises (SOEs) in China, as many of the corporate decisions are made by the government. This paper tries to address these questions. The imprinting theory and the upper echelon theory suggest that managers' personal experience can affect their behaviour, which in turn influences their corporate decisions. In this paper, we examine whether managers with military experience lead to higher R&D investment and whether such an effect exists in state-owned enterprises. Based on a sample of listed firms in China's A-share market over 2008-2017, we make two findings. First, companies with military managers have high R&D investment. By dividing managers' military positions into high and low rank, we find that companies tend to have higher (lower) R&D investment if their managers hold a high-rank (low-rank) position. Second, the effect of high-rank military managers on R&D investment is more pronounced if the manager is also the founder and the company is a non-state-owned enterprise. For low-ranking military managers, a stronger effect on R&D investment is also observed if they are also the founder, but whether their companies are state-owned or not has no impact on R&D investment. This study identifies managers' military experience as a contributing factors to corporate R&D investment in the largest emerging economy. This paper tests an implication of the imprinting theory and the upper echelon theory, i.e., managers' personal experience can affect their behaviour, which in turn influences their corporate decisions. Specifically, we focus on one aspect of personal experience - military experience - and look at whether it is beneficial to firms' technological innovation, therefore enriches the literature of managerial heterogeneity. Our findings on the influence of managers' military experience on firms' technological innovation can help us better understand the role of managers play in corporate decision making, and how managers' individual traits interact with the firm's characteristics.

• Journal of Digital Convergence
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• v.10 no.10
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• pp.97-106
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• 2012

In the past, executive managers made a decision based on personal experience and knowledge due to lack of the appropriate and timely information. With the development of information systems and technologies, efficiency and productivity of business operation has been enhanced. In this study, we propose a system design and architecture blue-print related to strategic decision making support system. The proposed system consists of 3 key parts; individual business feasibility test, business portfolio feasibility test, business portfolio management. The three key parts are comprised of 11 components to generate information and knowledge based on various data input from inside and outside of firm. This system is expected to provide objective and reliable output to users. In addition, the proposed strategic decision support system would help respond to a rapidly changing business environment.

• Journal of Korean Academy of Nursing Administration
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• v.19 no.5
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• pp.658-667
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• 2013

Purpose: The study was undertaken to investigate effects of decision making competency, nursing professionalism and job satisfaction on turnover impulse, and identify factors contributing to turnover impulse among nurses. Methods: The study was a descriptive study with 231 nurses from 4 general tertiary hospitals participating. Data were collected during March, 2013 using a structured self-report questionnaire. Decision making competency, nursing professionalism, and job satisfaction were measured with validated instruments, and turnover impulse was measured with one question using a 5-point Likert scale. Data were analyzed using descriptive statistics, t-test, one-way ANOVA, Pearson correlation coefficients and multiple regression. Results: The significant predictors of turnover impulse among nurses were professionalism (${\beta}$=-0.18, p=.015) and job satisfaction (${\beta}$=-0.18, p=.009). These variables explained 12% of the variance in turnover impulse among nurses. Conclusion: The results indicate that nursing managers need to put efforts in improving nurses' job satisfaction and to develop plans to increase nursing professionalism in order to reduce nurses' turnover impulse.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.4
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• pp.112-119
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• 2017

Selecting suppliers in the global supply chain is the very difficult and complicated decision making problem particularly due to the various types of supply risk in addition to the uncertain performance of the potential suppliers. This paper proposes a multi-phase decision making model for supplier selection under supply risks in global supply chains. In the first phase, the model suggests supplier selection solutions suitable to a given condition of decision making using a rule-based expert system. The expert system consists of a knowledge base of supplier selection solutions and an "if-then" rule-based inference engine. The knowledge base contains information about options and their consistency for seven characteristics of 20 supplier selection solutions chosen from articles published in SCIE journals since 2010. In the second phase, the model computes the potential suppliers' general performance indices using a technique for order preference by similarity to ideal solution (TOPSIS) based on their scores obtained by applying the suggested solutions. In the third phase, the model computes their risk indices using a TOPSIS based on their historical and predicted scores obtained by applying a risk evaluation algorithm. The evaluation algorithm deals with seven types of supply risk that significantly affect supplier's performance and eventually influence buyer's production plan. In the fourth phase, the model selects Pareto optimal suppliers based on their general performance and risk indices. An example demonstrates the implementation of the proposed model. The proposed model provides supply chain managers with a practical tool to effectively select best suppliers while considering supply risks as well as the general performance.