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An examination of the dynamics of intergenerational tensions and technological change in the context of post-pandemic recovery

Moore, Neil
; 
Rowe, Lisa
; 
Stokes, Peter
; 
Lichy, Jessica
; 
Rodgers, Peter
; 
Smith, Simon M.
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Affiliation
University of Chester; De Montfort University; IDRAC Business School, Lyon; University of Southampton; Oxford Brooks University
EPub Date
Publication Date
2022-06-15
Submitted Date
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Centre for Professional and Economic Development
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Abstract
Technological change is a feature of contemporary life encompassing interactivity, collaboration and, above all, real-time content sharing and livestreaming. The COVID-19 pandemic has introduced new dynamics in relation to digitisation and technology usage. Within organizations, these changes have been swift and profound, leading to online meetings, events and virtual team management. An explosion of literature has accompanied these changes and their human impacts. However, the generational and intergenerational issues remain under-examined and therefore constitute an important gap. The paper examines the literature on workplace technology, digitalisation and human impacts in relation to the COVID-19, and particularly, through the lens of different generational adoptive patterns. Taking an inductive qualitative approach, the paper’s empirical focus is analyses of semi-structured questionnaire data from intergenerational senior executives. The findings showcase alternative understandings of technology in the late-COVID-19 era and of Xer generational (i.e. born 1961-1981) resilience and operational change dynamics. This allows a number of contributions and implications to be developed.
Citation
Moore, N., Rowe, L., Stokes, P., Lichy, J., Rodgers, P., & Smith, S. M. (2024). An examination of the dynamics of intergenerational tensions and technological change in the context of post-pandemic recovery. Production Planning & Control, 35(13), 1533-1550. https://doi.org/10.1080/09537287.2022.2083523
Publisher
Taylor & Francis
Journal
Production Planning and Control
Research Unit
URI
http://hdl.handle.net/10034/626897
DOI
10.1080/09537287.2022.2083523
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PubMed Central ID
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Article
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Description
This is an Accepted Manuscript of an article published by Taylor & Francis in Production Planning and Control on 15/06/2022, available online: https://doi.org/10.1080/09537287.2022.2083523
Series/Report no.
ISSN
0953-7287
EISSN
1366-5871
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https://www.tandfonline.com/doi/full/10.1080/09537287.2022.2083523