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Normalising the “new normal”: Changing tech-driven work practices under pandemic time pressure

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  • Carroll, Noel
  • Conboy, Kieran

Abstract

The COVID-19 pandemic has had massive implications for the nature of work and the role technology plays in the workplace. Organisations have been forced into rapid ‘big bang’ introduction of technology and ‘tech-driven’ practices in an unprecedented and time pressured manner. In many cases there has been little training or reflection on how the practices and associated technology should be introduced and integrated or adapted to suit the new workplace context. We argue that there is a need for a more reflective ‘normalisation’ of work practices and the role technology plays. The paper draws on normalisation process theory (NPT) and its underlying components of cohesion, cognitive participation, collective action and reflexive monitoring. As an exemplar, we focus on the changing nature of work and adoption of remote working practices. The paper uses NPT to examine current thinking and approaches and offering some guidelines to inform research and practice.

Suggested Citation

  • Carroll, Noel & Conboy, Kieran, 2020. "Normalising the “new normal”: Changing tech-driven work practices under pandemic time pressure," International Journal of Information Management, Elsevier, vol. 55(C).
    • Handle: RePEc:eee:ininma:v:55:y:2020:i:c:s0268401220310252
    DOI: 10.1016/j.ijinfomgt.2020.102186
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    Citations

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    Cited by:

    1. Tanjim Istiaque Chowdhury & Md Rakibul Hoque & Peter Wanke & Mohammad Zahir Raihan & Md Abul Kalam Azad, 2022. "Antecedents of Perceived Service Quality of Online Education During a Pandemic: Configuration Analysis Based on Fuzzy-Set Qualitative Comparative Analysis," Evaluation Review, , vol. 46(3), pages 235-265, June.
    2. Bianco, Débora & Bueno, Adauto & Godinho Filho, Moacir & Latan, Hengky & Miller Devós Ganga, Gilberto & Frank, Alejandro G. & Chiappetta Jabbour, Charbel Jose, 2023. "The role of Industry 4.0 in developing resilience for manufacturing companies during COVID-19," International Journal of Production Economics, Elsevier, vol. 256(C).
    3. Efpraxia D. Zamani & Anastasia Griva & Kieran Conboy, 2022. "Using Business Analytics for SME Business Model Transformation under Pandemic Time Pressure," Information Systems Frontiers, Springer, vol. 24(4), pages 1145-1166, August.
    4. Wang, Richard & Ye, Zhongnan & Lu, Miaojia & Hsu, Shu-Chien, 2022. "Understanding post-pandemic work-from-home behaviours and community level energy reduction via agent-based modelling," Applied Energy, Elsevier, vol. 322(C).
    5. Gkinko, Lorentsa & Elbanna, Amany, 2023. "Designing trust: The formation of employees’ trust in conversational AI in the digital workplace," Journal of Business Research, Elsevier, vol. 158(C).
    6. Reuschl, Andreas J. & Deist, Maximilian K. & Maalaoui, Adnane, 2022. "Digital transformation during a pandemic: Stretching the organizational elasticity," Journal of Business Research, Elsevier, vol. 144(C), pages 1320-1332.
    7. Lena Waizenegger & Kai Schaedlich & Bill Doolin, 2023. "Sociomateriality in Action," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 65(3), pages 235-257, June.
    8. Marikyan, Davit & Papagiannidis, Savvas & Rana, Omer F. & Ranjan, Rajiv & Morgan, Graham, 2022. "“Alexa, let’s talk about my productivity”: The impact of digital assistants on work productivity," Journal of Business Research, Elsevier, vol. 142(C), pages 572-584.
    9. Motamarri, Saradhi & Akter, Shahriar & Hossain, Md Afnan & Dwivedi, Yogesh K, 2022. "How does remote analytics empowerment capability payoff in the emerging industrial revolution?," Journal of Business Research, Elsevier, vol. 144(C), pages 1163-1174.

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