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Interorganizational dependence, information transparency in interorganizational information systems, and supply chain performance

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  • Bangho Cho
  • Sung Yul Ryoo
  • Kyung Kyu Kim

Abstract

To explain the large disparity between the potential and practice of interorganizational information systems (IOSs), this study investigates asymmetric information transparency in an IOS from a dyadic perspective. When there is asymmetric dependency in a dyad, an IOS may not completely eliminate asymmetric information transparency between supply chain (SC) partners but may change the nature of information asymmetry. Consistent with resource dependence theory, this study includes joint dependence and dependence asymmetry as antecedents of information transparency in an IOS. The data used in this study were collected from 111 matched pairs of intermediate component manufacturers and their immediate suppliers in heavy manufacturing industries. The results show that asymmetric information transparency in an IOS is prevalent in SC relationships. Regarding the antecedents of information transparency in an IOS, both joint dependence and each partner’s dependence advantage are significant. Furthermore, information transparency in an IOS positively influences SC performance measured by SC relationship quality and relationship-specific performance, whereas asymmetric information transparency negatively influences joint profit performance.

Suggested Citation

  • Bangho Cho & Sung Yul Ryoo & Kyung Kyu Kim, 2017. "Interorganizational dependence, information transparency in interorganizational information systems, and supply chain performance," European Journal of Information Systems, Taylor & Francis Journals, vol. 26(2), pages 185-205, March.
    • Handle: RePEc:taf:tjisxx:v:26:y:2017:i:2:p:185-205
    DOI: 10.1057/s41303-017-0038-1
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    Cited by:

    1. Büttgen, Marion & al.,, 2021. "Blockchain in Service Management and Service Research - Developing a Research Agenda and Managerial Implications," SMR - Journal of Service Management Research, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 5(2), pages 71-102.
    2. Rajaguru, Rajesh & Matanda, Margaret Jekanyika & Verma, Prikshat, 2023. "Information system integration, forecast information quality and market responsiveness: Role of socio-technical congruence," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).

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