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Social Networks in Emerging Work Models

Author

Listed:
  • Piotr Andrzejak
  • Grzegorz Belz

Abstract

Purpose: The outbreak of the COVID-19 forced companies to transform from the on-site work model to the remote or hybrid ones. This paper analyzes threats and challenges resulting from changes in the network structures before and during the pandemic-driven emergence of new work models. Design/Methodology/Approach: This study compares the structure of the social networks in three different work models, (a) office work model before COVID-19, (b) remote work model after the outbreak of coronavirus, and (c) hybrid work model during some of the pandemic restrictions loosening. Research is based on series of experiments conducted in the frame of strategic business simulations. In our approach, the primary source of information where people with their knowledge, behaviors, and points of view. Findings: Our findings confirm the early stage of remote and hybrid work model proficiency among managers and shed light on emerging threats for organizational transformation and innovation capability in such distributed work models. Practical Implications: New work models need to be deeply verified and improved. In the reality of distributed work models, we believe that analyzing social networks will become a critical approach used in organizations to understand weak ties forming their innovation and transformation capabilities. Originality/Value: We used the opportunity of ongoing longitudinal research during which the COVID-19 outbreak occurred. We recorded and analyzed disruptive changes in the social networks of competing teams during pandemic-caused transformations. We found the importance and threats of fragile social ties for organizations operating under distributed work models for innovation and transformation capabilities.

Suggested Citation

  • Piotr Andrzejak & Grzegorz Belz, 2021. "Social Networks in Emerging Work Models," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 3), pages 853-861.
  • Handle: RePEc:ers:journl:v:xxiv:y:2021:i:special3:p:853-861
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    References listed on IDEAS

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    1. Erik Brynjolfsson & John J. Horton & Adam Ozimek & Daniel Rock & Garima Sharma & Hong-Yi TuYe, 2020. "COVID-19 and Remote Work: An Early Look at US Data," NBER Working Papers 27344, National Bureau of Economic Research, Inc.
    2. Stephen P. Borgatti & Daniel S. Halgin, 2011. "On Network Theory," Organization Science, INFORMS, vol. 22(5), pages 1168-1181, October.
    3. Daniel Z. Levin & Rob Cross, 2004. "The Strength of Weak Ties You Can Trust: The Mediating Role of Trust in Effective Knowledge Transfer," Management Science, INFORMS, vol. 50(11), pages 1477-1490, November.
    4. Martin Ruef, 2002. "Strong ties, weak ties and islands: structural and cultural predictors of organizational innovation," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 11(3), pages 427-449, June.
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    More about this item

    Keywords

    Social networks; distributed work models; simulation experiment.;
    All these keywords.

    JEL classification:

    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General
    • L20 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - General
    • L22 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Organization and Market Structure
    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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