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Achieving Employees’ Agile Response in E-Governance: Exploring the Synergy of Technology and Group Collaboration

Author

Listed:
  • Ying Bao

    (China University of Petroleum)

  • Xusen Cheng

    (Renmin University of China)

  • Linlin Su

    (South China Agricultural University)

  • Alex Zarifis

    (University of Southampton)

Abstract

The transformation of technology and collaboration methods driven by the e-government system forces government employees to reconsider their daily workflow and collaboration with colleagues. Despite the extensive existing knowledge of technology usage and collaboration, there are limitations in explaining the synergy between technology usage and group collaboration in achieving agile response from the perspective of government employees, particularly in the e-government setting. To address these challenges, this study provides a holistic understanding of the successful pathway to agile response in e-governance from the perspective of government employees. This study explores a dual path to achieve agile response in e-governance through qualitative analysis, involving 34 in-depth semi-structured interviews with government employees in several government sectors in China. By employing three rounds of coding processes and adopting Interpretative Structural Modeling (ISM), this study identifies the five-layer mechanisms leading to agile response in e-governance, considering both government employee technology usage and group collaboration perspectives. Findings of this study provides suggestions and implications for achieving agile response in e-governance.

Suggested Citation

  • Ying Bao & Xusen Cheng & Linlin Su & Alex Zarifis, 2025. "Achieving Employees’ Agile Response in E-Governance: Exploring the Synergy of Technology and Group Collaboration," Group Decision and Negotiation, Springer, vol. 34(2), pages 209-234, April.
    • Handle: RePEc:spr:grdene:v:34:y:2025:i:2:d:10.1007_s10726-024-09911-y
    DOI: 10.1007/s10726-024-09911-y
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    References listed on IDEAS

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    1. Xusen Cheng & Ying Bao & Bo Yang & Sihua Chen & Yiting Zuo & Mikko Siponen, 2023. "Investigating Students’ Satisfaction with Online Collaborative Learning During the COVID-19 Period: An Expectation-Confirmation Model," Group Decision and Negotiation, Springer, vol. 32(4), pages 749-778, August.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Davison, Robert M., 2020. "The Transformative Potential of Disruptions: A Viewpoint," International Journal of Information Management, Elsevier, vol. 55(C).
    4. Sipior, Janice C., 2020. "Considerations for development and use of AI in response to COVID-19," International Journal of Information Management, Elsevier, vol. 55(C).
    5. Verhoef, Peter C. & Broekhuizen, Thijs & Bart, Yakov & Bhattacharya, Abhi & Qi Dong, John & Fabian, Nicolai & Haenlein, Michael, 2021. "Digital transformation: A multidisciplinary reflection and research agenda," Journal of Business Research, Elsevier, vol. 122(C), pages 889-901.
    6. Murray Scott & William DeLone & William Golden, 2016. "Measuring eGovernment success: a public value approach," European Journal of Information Systems, Taylor & Francis Journals, vol. 25(3), pages 187-208, May.
    7. Yogesh K. Dwivedi & Marijn Janssen & Emma L. Slade & Nripendra P. Rana & Vishanth Weerakkody & Jeremy Millard & Jan Hidders & Dhoya Snijders, 2017. "Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling," Information Systems Frontiers, Springer, vol. 19(2), pages 197-212, April.
    8. William H. DeLone & Ephraim R. McLean, 1992. "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, INFORMS, vol. 3(1), pages 60-95, March.
    9. Xusen Cheng & Ying Bao & Xiaodan Yu & Yuanyanhang Shen, 2021. "Trust and Group Efficiency in Multinational Virtual Team Collaboration: A Longitudinal Study," Group Decision and Negotiation, Springer, vol. 30(3), pages 529-551, June.
    10. Chee Wee Tan & Shan L Pan, 2003. "Managing e-transformation in the public sector: an e-government study of the Inland Revenue Authority of Singapore (IRAS)," European Journal of Information Systems, Taylor & Francis Journals, vol. 12(4), pages 269-281, December.
    11. Janssen, Marijn & van der Voort, Haiko, 2020. "Agile and adaptive governance in crisis response: Lessons from the COVID-19 pandemic," International Journal of Information Management, Elsevier, vol. 55(C).
    12. Mareike Schoop & Marije Amelsvoort & Johannes Gettinger & Michael Koerner & Sabine T. Koeszegi & Per Wijst, 2014. "The Interplay of Communication and Decisions in Electronic Negotiations: Communicative Decisions or Decisive Communication?," Group Decision and Negotiation, Springer, vol. 23(2), pages 167-192, March.
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