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Examining structural, perceptual, and attitudinal influences on the quality of information sharing in collaborative technology use

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  • Hung-pin Shih

    (Hsuan Chuang University)

  • Kee-hung Lai

    (The Hong Kong Polytechnic University)

  • T. C. E. Cheng

    (The Hong Kong Polytechnic University)

Abstract

Using collaborative technologies to improve collaborative work is a long-term concern because of over-expected barriers in the implementation. The “quality of information sharing” is a group-level construct for assessing the outcome of collaborative technology use in collaborative work. However, few studies have addressed this informational influence. We propose a research model, grounded in interactivity and fit-appropriation theories, to examine structural, perceptual, and attitudinal influences on the quality of information sharing. Particularly, we incorporate task complexity into this model to examine the direct and interaction effects on collaborative technology use. We empirically test the model by examining the use of Lotus Notes at offices. The empirical results show that structural and perceptual factors have distinct effects on fit and appropriation attitudes, which indirectly or directly determine the quality of information sharing. We also discuss the academic and managerial implications of the research findings.

Suggested Citation

  • Hung-pin Shih & Kee-hung Lai & T. C. E. Cheng, 2015. "Examining structural, perceptual, and attitudinal influences on the quality of information sharing in collaborative technology use," Information Systems Frontiers, Springer, vol. 17(2), pages 455-470, April.
    • Handle: RePEc:spr:infosf:v:17:y:2015:i:2:d:10.1007_s10796-013-9429-6
    DOI: 10.1007/s10796-013-9429-6
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    2. Zhiyuan Wang & Zhiqiang (Eric) Zheng & Wei Jiang & Shaojie Tang, 2021. "Blockchain‐Enabled Data Sharing in Supply Chains: Model, Operationalization, and Tutorial," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 1965-1985, July.
    3. Michael A. Erskine & Dawn G. Gregg & Jahangir Karimi & Judy E. Scott, 2019. "Individual Decision-Performance Using Spatial Decision Support Systems: A Geospatial Reasoning Ability and Perceived Task-Technology Fit Perspective," Information Systems Frontiers, Springer, vol. 21(6), pages 1369-1384, December.
    4. Dominguez, Roberto & Cannella, Salvatore & Barbosa-Póvoa, Ana P. & Framinan, Jose M., 2018. "OVAP: A strategy to implement partial information sharing among supply chain retailers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 110(C), pages 122-136.

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