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ACOMS+ 및 학술지 리포지터리 설명회

  • 한국과학기술정보연구원(KISTI) 서울분원 대회의실(별관 3층)
  • 2024년 07월 03일(수) 13:30
 

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  • P-ISSN1738-3110
  • E-ISSN2093-7717
  • SCOPUS, ESCI

Trust, Long-term Orientation, and Relationship Performance: A Perspective of Distribution Management on Supply Chain

Trust, Long-term Orientation, and Relationship Performance: A Perspective of Distribution Management on Supply Chain

The Journal of Distribution Science(JDS) / The Journal of Distribution Science, (P)1738-3110; (E)2093-7717
2024, v.22 no.1, pp.105-113
https://doi.org/10.15722/jds.22.01.202401.105
Changjoon LEE (College of Business Administration, University of Ulsan)
Soohyo KIM (Operations Management, Sogang University)

Abstract

Purpose: This study sheds light on the need for trust in buyer-seller relationships in supply chains and explores why long-term orientation is important. It also investigates the effect on relationship performance. This study provides implication on how to build robust supply chains. Methodology: A survey was conducted with firms with supply chains in South Korea. A total of 350 valid questionnaires were analyzed through Entrust Survey-a sampling company. Structural equation modeling (SPSS 18.0 and AMOS) was employed to test the hypotheses. Results: Cognitive trust had a positive effect on emotional trust. Emotional trust had a positive effect on long-term orientation but did not have a significant effect on relationship performance. Long-term orientation was proportionate to relationship performance. Conclusions: Trust is a critical factor in supply chains. As business environments are rapidly changing, the uncertainties are also meaningful. Supply chains have collapsed owing to COVID-19, the Russia-Ukraine war, and the U.S.-China trade war, and they are only just recently being rebuilt. Maintaining relationships with supply-chain partners is vital, and promoting cognitive and emotional trust is necessary.

keywords
Trust, Long-term Orientation, Relationship Performance, Supply Chain, Distribution Management

The Journal of Distribution Science(JDS)