• International Commerce and Information Review
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• v.11 no.1
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• pp.201-218
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• 2009

This paper examined the supply chain management partnerships factors and business performance in Korean industry. As SCM got evolved, the importance of partnership and relationship among the SC members are increased. we should consider the following critical factors such as lead-time reduction, embedness, trust. The purpose of this study is to focus on partnership factors and flexibility to clarify with the Partnering experience which of the SCM factors contribute to business performance for the SCM firms. Based on the analysis of seventy cases, the following results were found. First, SCM operational factors of supply chain management have a positively significant influence on flexibility of supply chain management. Second, partnerships experience 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 partnership experience can improve the influence on SCM operational factors and business performance.

• 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.

• Journal of Information Technology Applications and Management
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• v.30 no.6
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• pp.1-15
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• 2023

With the advent of the Fourth Industrial Revolution, propelled by digital technology, we are transitioning into an era of hyperconnectivity, where everything and objects are becoming interconnected. A smart supply chain refers to a supply chain system where various sensors and RFID tags are attached to objects such as machinery and products used in the manufacturing and transportation of goods. These sensors and tags collect and analyze process data related to the products, providing meaningful information for operational use and decision-making in the supply chain. Before the spread of COVID-19, the fundamental principles of supply chain management were centered around 'cost minimization' and 'high efficiency.' A smart supply chain overcomes the linear delayed action-reaction processes of traditional supply chains by adopting real-time data for better decision-making based on information, providing greater transparency, and enabling enhanced collaboration across the entire supply chain. Therefore, in this study, a hierarchical model for building a smart supply chain was constructed to systematically derive the importance of key factors that should be strategically considered in the construction of a smart supply chain, based on the major factors identified in previous research. We applied AHP (Analytical Hierarchy Process) techniques to identify urgent improvement areas in smart SCM initiatives. The analysis results showed that the external supply chain integration is the most urgent area to be improved in smart SCM initiatives.

• The Journal of Industrial Distribution & Business
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• v.10 no.12
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• pp.7-14
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• 2019

Purpose: In Korea, win-win growth policy has been successfully implemented in supply chain and logistics management. In the policy, it is recommended to support supply chain partners with various mechanisms including financial and technical aids. This study attempts to scientifically analyze the effects of direct and indirect win-win growth policy factors on supply chain and logistics management performance through partnership factors. Research design, data and methodology: This study builds a structural equation model reflecting the relationship between the win-win growth policy, partnership and performance factors. The proposed model is verified with the PLS (Partial Least Squares regression) methodology. Data from shipper and logistics companies were collected and analyzed by the PLS model. Results: The analysis showed that both direct and indirect policy factors are meaningful to improve supply chain and logistics performance. Indirect support factors including R&D, management innovation, human resources development and educational supports have positive impacts on partnership factors. Direct support factors including financial aids and fairness also have positive impacts on the performance. Conclusions: This study is meaningful in that it suggests a turning point in which supply chain Win-win growth and partnership efforts are perceived as new value-creating mechanism rather than unilateral cost reduction for logistics industry.

• International Commerce and Information Review
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• v.12 no.4
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• pp.257-277
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• 2010

This paper examined the supply chain management Integration factors and evironmental performance in Korean industry. As SCM got evolved, the importance of Socially and Environmentally Responsible Supply Chain among the Supply Chain members are increased. we should consider the following critical factors such as SCM Integration, environmental practice, SCM performance and environmental performance. The purpose of this study is to focus on linkage between conventional SCM factors with new environmental factors to clarify the critical factor for the SCM firms who may concerns about environmental performance. Based on the analysis of sixty-two cases, the following results were found. First, SCM Integration factors of supply chain management have a positively significant influence on SCM performance and environmental performance of supply chain management. Second, SCM performance have a positively significant influent on environmental performance. Third, environmental practice factors of supply chain management have a positively significant influence on SCM performance but not significant influence on environmental performance. This study suggests that with high level of Integration and environmental practice, firms may have good result on SCM performance and environmental performance. Especially, our empirical evidence shows that environmental practices without good SCM performance, may not have good result on environmental performance.

• Korean Management Science Review
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• v.33 no.3
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• pp.105-117
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• 2016

In this paper, we present empirical testing result to examine the validity of inbound supply and outbound demand risk factors in the sense of early predicting the firm's bankruptcy risk level. The risk factors are drawn from industry uncertainty attributes categorized as uncertainties of input market (inbound supply), and product market (outbound demand). On the basis of input-output table, industry level inbound and outbound sectors are identified to formalize supply chain structures, relevant inbound and outbound uncertainty attributes and corresponding risk factors. Subsequently, publicly available macro-economic indicators are used to appropriately quantify these risk factors. Total 68 industry level bankruptcy risk forecasting results are presented with the average R-square scores of between 53.4% and 37.1% with varying time lag. The findings offers useful insights to incorporate supply chain risk to the body of firm's bankruptcy risk level prediction literature.

• Korean small business review
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• v.40 no.1
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• pp.25-52
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• 2018

The purpose of this study is to investigate the relationship between supply chain sustainability antecedent, supply chain competence, and supply chain sustainability. The relationship between supply chain sustainability antecedence factor and supply chain competence, supply chain competence and supply chain sustainability and to identify the differences between sustainability antecedence factors, capacity and sustainability depending on the size of the firm. To accomplish this, each research hypothesis was established and the results are as follows. First, compliance with environmental regulations, NGO response activities, CSR activities, and trade fairness were found to have a significant positive impact on manufacturing agility, environmental management, and social capital. And manufacturing agility, environmental management, and social capital has been confirmed that most of the economic, environmental and social sustainability have a significant positive influence. In addition, it has been confirmed that there are differences in the factors of supply chain sustainability, capacity, and sustainability depending on the size of the company. According to the results of the study, environmental regulation compliance, NGO response activities, CSR activities, and fairness factors selected as the leading factors of supply chain sustainability play a role as fundamental prerequisites for supply chain competence to achieve sustainability. Manufacturing agility, environmental management, and the formation of social capital have confirmed that they can raise the level of economic, environmental and social sustainability. Therefore, it was confirmed that the enhancement of supply chain sustainability precedence factors can lead to enhancement of supply chain competence, and furthermore, sustainability of supply chain. Compared with large corporations, SMEs' supply chain sustainability precedence factor, capacity and sustainability should be further improved.

• The Research Journal of the Costume Culture
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• v.16 no.1
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• pp.181-203
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• 2008

This study suggests a model to identify relationships between Supply Chain Partnership(SCP) and the performance of Supply Chain Management(SCM) based on apparel companies and outsourcing suppliers of finished products that are in a position of getting into Supply Chain Level on apparel industry. This research model is based on an integrated model including a relationship between relationship formation factors and partnership strengthening factors in SCP; and supply chain performance a result of that relationship. The formation factors of SCP affect emotional elements(trust, commitment) of strengthening factors, and they, in turn, impact the performance of a supply chain through behavioral elements(collaboration, information sharing)16 hypotheses were formulated to research the degree of impact of SCP on supply chain performance. Theoretical and empirical research was executed in parallel to achieve the objectives of this study. Empirical research involved a research methodology using surveys. Survey target audiences were limited to designers and merchandisers over five years of experience with apparel companies and outsourcing suppliers for finished products operating mainly in Korea. SPSS 12.0 for Windows and AMOS 5.0 were used for data and statistical analysis. Reviewing the result of research model and identification of each hypothesis, total 11 from 16 hypotheses set by this research were selected, 5 hypotheses were dropped, and 4 meaningful paths were added.

• The Journal of Information Systems
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• v.12 no.2
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• pp.165-187
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• 2003

This study examined the factors that make Korean companies adopt supply chain management systems. By adding a group of inter-organizational factors, we extended an innovation-theory-based research model to study the information technology adoption. Sixty three questionnaires from 700 leading companies in Korea were collected and analyzed. Independent variables of the research included environmental, organizational, innovation, and relational characteristics. We found that supply chain management systems in Korean companies are at the initial stage of the adoption, in general. This research also found that company's environmental characteristics have insignificant relationship with the adoption of supply chain management systems. In addition, organizational characteristics (the support of top management, the size of organization, and the information technology infrastructure), innovation characteristics of the supply chain, and the power exercised over the supply chain played important roles in adopting supply chain management systems.

• Journal of Korea Water Resources Association
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• v.45 no.11
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• pp.1131-1141
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• 2012

In this study, factors that influence water supply capacities of dams are extracted using factor analysis, and multiple regression equations for estimating water supply capacities of dams are developed using the analysis results. Twenty-one multi-purpose dams and twelve Municipal and Industrial (M&I) water supply dams are selected for case studies, and eight variables influencing water supply capacities of dams, namely: watershed area, inflow, effective reservoir storage, grade on amount of M&I water supply, grade on amount of agricultural water supply, grade on amount of in-stream flow supply, grade on river administration, and grade on average rainfall, are determined. Two case studies for multi-purpose dams and M&I water supply dams are performed, employing factor analysis, respectively. For the two cases, preliminary tests, such as reviewing matrix of correlation coefficient, Bartlett's test of sphericity, and Kaiser-Meyer-Olkin (KMO) test, are conducted to evaluate the suitability of the variables for factor analysis. In case of multi-purpose dams, variables are grouped into three factors; M&I water supply dams, two factors. The factors are rotated using Varimax method, and then factor loading of each variable is computed. The results show that the variables influencing water supply capacities of dams are reasonably selected and appropriately grouped into factors. In addition, multiple regression equations for predicting the amounts of annual water supply of dams are established using the factor scores as explanatory variables, it is identified that the models' accuracies are high, and their applications to determining effective storage capacity of a dam during dam planning and design steps are presented. Consequently, it is thought that the variables and factors are useful for dam planning and dam design.