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Performance measurement of interorganizational information systems in the supply chain

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  • Yi-Hui Liang

Abstract

As corporations rely on collaborations with partners to enhance their competiveness, they use interorganizational information systems (IOIS) as a powerful tool to link with their partners in the supply chain. The purpose of this study is to measure IOIS performance in the supply chain. The proposed framework considers both internal and external organisational perspectives and is based on the balanced scorecard. This study also uses experts’ pairwise comparisons in the fuzzy analytic hierarchy process approach to consider the relative weight or importance of diverse indicators of the framework. Then, this study applies the proposed framework to the Taiwanese information technology industry. The results provide references for managers and future researches when assessing IOIS performance in the supply chain. The proposed model can serve as a useful instrument for helping managers to better understand the main facets of IOIS performance, to be more capable of prioritising improvement projects, and to adopt the right solutions to enhance overall performance.

Suggested Citation

  • Yi-Hui Liang, 2015. "Performance measurement of interorganizational information systems in the supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 53(18), pages 5484-5499, September.
    • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:18:p:5484-5499
    DOI: 10.1080/00207543.2015.1026614
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    Cited by:

    1. Vairetti, Carla & González-Ramírez, Rosa G. & Maldonado, Sebastián & Álvarez, Claudio & Voβ, Stefan, 2019. "Facilitating conditions for successful adoption of inter-organizational information systems in seaports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 333-350.
    2. Majid Azadi & Balal Karimi & William Ho & Reza Farzipoor Saen, 2022. "Assessing green performance of power plants by multiple hybrid returns to scale technologies," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(4), pages 1177-1211, December.
    3. Stefan Seebacher & Ronny Schüritz & Gerhard Satzger, 2021. "Towards an understanding of technology fit and appropriation in business networks: evidence from blockchain implementations," Information Systems and e-Business Management, Springer, vol. 19(1), pages 183-204, March.
    4. Yaoguang Zhong & Ivan Ka Wai Lai & Fangfang Guo & Huajun Tang, 2020. "Effects of Partnership Quality and Information Sharing on Express Delivery Service Performance in the E-commerce Industry," Sustainability, MDPI, vol. 12(20), pages 1-19, October.

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