• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.71
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• pp.325-350
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• 2016

As the new competitive environment become more global, technologically oriented and customer driven, as customers continually demand higher quality, faster response, and greater reliability of products and services, the new global market demands a more customer responsive behaviour by companies and firms have responded with innovative products and improved manufacturing processes to manufacture products. Further, the shift from traditional manufacturing and purchasing to JIT manufacturing and purchasing requires customers and suppliers to shift from adversarial relationships to strategic partnerships, and information sharing, so as to attain flexibility, reliability, and speed. SCM practices such as supplier collaboration and information sharing is considered as a key to attaining supplier network responsiveness and enhancing the product innovation and the market access time. The current research investigates the effect of SCM practices on supplier network responsiveness, the product innovation and the market access time of export companies. Thus by providing empirical evidence of the said relationships, this study offers useful guidelines for measuring and improving the supplier network responsiveness of a firm, facilitating further research in the area.

• Journal of Technology Innovation
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• v.14 no.2
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• pp.143-165
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• 2006

By analyzing five in-depth case studies of suppliers in newly emerging Vietnam's motorcycle industry, this paper explores the differences in patterns and processes of capability improvement of suppliers who participate in different kinds of supplier-assembler network with different structures. The paper finds the correlation between the kinds of suppliers' capabilities improved and the structure of networks they participate in. While suppliers in arm-length networks can improve more upstream capabilities (structure design, process desist), suppliers in embedded networks can improve more downstream capabilities (process design, process setup, process maintenance and delivery control). Two capability improvement patterns of firms in newly emerging economy are indicated. The first pattern is asymmetrical improvement, either upstream or downstream capabilities, by participating in either arm-length or embedded networks. This pattern obstructs the suppliers to meet the requirements of new buyers rho come from different kinds of network. The second pattern is symmetrical improvement by joining both arm-length and embedded networks.

• Journal of Korean Society for Quality Management
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• v.37 no.4
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• pp.1-9
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• 2009

Supplier selection process is one of the most important arenas of production and logistics management for many companies. This study explores the application of the analytic network process (ANP) approach for the evaluation of suppliers based on several different evaluation criteria. The ANP approach in this study is capable of providing priorities of suppliers that capture network relationships among several evaluation criteria which are not independent. Therefore this study provides value to practitioners by providing a generic model for supplier selection. In addition, for researchers, it demonstrates further research possibilities for more complex decision making problems using ANP.

• Knowledge Management Research
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• v.9 no.2
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• pp.109-127
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• 2008

This cross-level study of 77 samples from Korean 1st-tier suppliers participating in knowledge-sharing networks examined the impact of partnering(joint establishment of goal and joint problem solving system) on supplier relationship outcomes(competativeness improvement and innovative idea suggestion). The findings showed that joint establishment of goal and joint problem solving system were positively related to both supplier's competativeness improvement and its innovative idea suggestion. Whereas, joint problem solving system did account for a significant variance only in innovative idea suggestion. The findings, further, demonstrated that mutual trust moderated the relationship between joint problem solving system and supplier relationship outcomes. Implications for theory and practice are suggested.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.37 no.3
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• pp.64-74
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• 2014

We show how a supplier can peg cost measures to the reliability of his time guarantees via the penalty costs considered in the framework. The framework also enables us to study the connections between the logistics network and the market. In this context, we show that even when the market base increases significantly, the supplier can still use the logistics network designed to satisfy lower demand density, with only a marginal reduction in profit. Finally we show how the framework is useful to evaluate and compare various logistics system improvement strategies. The supplier can then easily choose the improvement strategy that increases his profit with the minimal increase in his logistics costs.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.10a
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• pp.99-102
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• 2000

In the supply chain network design, how to select the best location, capacity configuration of the suppliers and to assign manufacturers orders are a challenging issue. Especially when multi-tiers'suppliers are existed, the performance of supply chain is influenced by 2$\^$nd/ and 3$\^$rd/ suppliers. Supplier selection is multi-criteria problem which includes both qualitative and quantitative factors in supply chains. In order to select the best supplier it is necessary to make a trade off between these two factors such as cost, product quality, capacity, production lead time, deliver lead time and transportation lead tine of supplier constraints existed in multi-tiers supplier purchasing chain. In these circumstances, purchasing agents should decide two problems: which is the best supplier in each tier and how much should be purchased from each selected supplier. This research is intended to develop an integration of an analytical hierarchy process (AHP) and mathematical modeling proposed to consider two factors which may be conflicted in choosing the best supplier in each tier and placing the optimum order quantities to the supplier among multi-tiers suppliers.

• Journal of the Korean Operations Research and Management Science Society
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• v.38 no.3
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• pp.51-70
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• 2013

This paper develops a model to predict the adoption and level of usage of network technology in a two-level supply chain with buyer-supplier relationships. A firm's adoption of a new technology depends not only on its own beliefs of the new technology's costs and benefits, but also on the adoption decisions of other firms in the supply chain. A model first analyzes an individual supplier's decision about a new technology adoption considering with multiple suppliers and buyers. Individual suppliers' decisions are aggregated with a population model to project how new technology diffuses across the supply chain and examine the pattern of diffusion process. This study found that as more firms adopt in initial periods, the total amount of information to the potential adopters in the population increases, and then the number of firms persuaded by the information increases as the process moves up the distribution of adoption process. We consider three factors influencing the diffusion speed of the new technology in a supply chain network : mean benefits, cost sharing, and information provision. This study examines how such factors affect the reduction of threshold levels, which implies that reductions in threshold levels have an aggregate effect by accelerating the rate of adoption. In particular, we explore relationship factors available in practice in a buyer-supplier relationship and numerically examines how these relationship factors contribute to increase the diffusion speed of the technology in a two-level supply chain.

• Journal of Digital Convergence
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• v.13 no.1
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• pp.93-110
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• 2015

The purpose of this study is to identify the role of T-shaped skill between customer/supplier network and innovation performance of firms. To manage effectively the relationship between collaborative firms, firms need to have a prior related knowledge. The premise of absorptive capacity is that the organization needs prior related knowledge to recognize, assimilate, and apply new knowledge. In this context, T-shaped skill facilitates the learning of new related knowledge. The skill is thus a critical component of innovative capabilities. We found that T-shaped skill plays a mediating role in the relationship between networks and innovation performance. The conclusions and implications are discussed.

• The Journal of Industrial Distribution & Business
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• v.14 no.7
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• pp.9-18
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• 2023

Purpose: The ability of a firm to acquire resources through marketing networks is crucial for its competitiveness. Nonetheless, the influence of these networks on the performance of a firm's innovation is still uncertain, particularly in the face of environmental uncertainty. This research investigates the impact of marketing networks, specifically network embeddedness and structural holes, on the performance of innovation in situations characterized by environmental uncertainty. Research design, data and methodology: The empirical examination was carried out within the framework of internal network entities, specifically the manufacturer-supplier-sub supplier relationships, involving the primary suppliers of a Korean engineering firm. Construct measures utilized in this study were derived from existing measures and prior research. A questionnaire survey was conducted with a major first-tier supplier of a Korean engineering firm. Proposed hypotheses were tested using structural equation modeling. Results: The survey findings suggest that only network embeddedness has an impact on the perception of major first-tier suppliers regarding the buyer's innovation performance. Conclusions: To strengthen the empirical evidence regarding the effects of marketing networks on innovation performance, future research should take into account cultural factors such as collectivism, which is indicative of the distinctive business-to-business marketing relationships observed in the Korean context.

• Industrial Engineering and Management Systems
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• v.13 no.1
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• pp.29-42
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• 2014

Extensive research has been conducted on supplier evaluation and selection as a strategic and crucial component of supply chain management in recent years. However, few articles in the previous literature have been dedicated to the use of fuzzy inference systems as an aid in decision-making. Therefore, this essay attempts to demonstrate the application of this method in evaluating suppliers, based on a comprehensive framework of qualitative and quantitative factors besides the effect of gradual coverage distance. The purpose of this study is to investigate the applicability of the numerous measures and metrics in a multi-objective optimization problem of the supply chain network design with the aim of managing the allocation of orders by coordinating the production lines to satisfy customers' demand. This work presents a dynamic non-linear programming model that examines the important aspects of the strategic planning of the manufacturing in supply chain. The effectiveness of the configured network is illustrated using a sample, following which an exact method is used to solve this multi-objective problem and confirm the validity of the model, and finally the results will be discussed and analyzed.