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Unravelling causal and temporal influences underpinning monitoring systems success: a typological approach

Author

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  • Iannacci, Federico
  • Cornford, Tony

Abstract

This paper is concerned with the causal and temporal underpinnings of information systems success. It uses a typological approach based on fuzzy-set Qualitative Comparative Analysis and process tracing. It investigates success across multiple cases of information systems adopted for monitoring the disbursement and use of resources within the European Social Fund. The study unravels the causal mechanisms and temporal pathways underpinning success in these systems. It develops a typological theory of monitoring systems success that reveals the temporal pathways embedded within individual cases, as well as broader theoretical patterns emerging across cases. Theoretical, methodological, and practical implications are discussed.

Suggested Citation

  • Iannacci, Federico & Cornford, Tony, 2018. "Unravelling causal and temporal influences underpinning monitoring systems success: a typological approach," LSE Research Online Documents on Economics 83763, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:83763
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    File URL: http://eprints.lse.ac.uk/83763/
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    Cited by:

    1. David Soto Setzke & Tobias Riasanow & Markus Böhm & Helmut Krcmar, 2023. "Pathways to Digital Service Innovation: The Role of Digital Transformation Strategies in Established Organizations," Information Systems Frontiers, Springer, vol. 25(3), pages 1017-1037, June.
    2. Federico Iannacci & Colm Fearon & Kristine Pole, 2021. "From Acceptance to Adaptive Acceptance of Social Media Policy Change: a Set-Theoretic Analysis of B2B SMEs," Information Systems Frontiers, Springer, vol. 23(3), pages 663-680, June.
    3. Pierluigi Zerbino & Davide Aloini & Riccardo Dulmin & Valeria Mininno, 2021. "Why enterprise resource planning initiatives do succeed in the long run: A case-based causal network," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-25, December.
    4. Lei Wang & Weijia You & Yingying Zhou & Fei Meng, 2022. "How Does Green Supply Chain Management Promote the Success of Crowdfunding Projects? Empirical Research Based on the QCA Method," Sustainability, MDPI, vol. 14(19), pages 1-21, September.

    More about this item

    Keywords

    IS success; monitoring systems; qualitative comparative analysis; process tracing; typological theorising;
    All these keywords.

    JEL classification:

    • J50 - Labor and Demographic Economics - - Labor-Management Relations, Trade Unions, and Collective Bargaining - - - General

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