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The Mediating Role of the Ability to Adapt to Teleworking to Increase the Organizational Performance

Author

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  • Mihail Busu

    (Bucharest University of Economic Studies, Bucharest, Romania)

  • Attila Gyorgy

    (Bucharest University of Economic Studies, Bucharest, Romania)

Abstract

In this article, the authors develop an econometric model to determine the impact of professional telework activities on the degree of employees' performance, based on the ability to adapt to the new labor system. The data were collected using a questionnaire addressed to employees of companies that provide financial consultancy in Romania and were analyzed using the statistical software Smart-Pls 3.3.2. Starting with the literature of profile, the paper identifies the drivers of the organizational performance model in carrying out professional activities in the remote working system. These indicators are independent variables that model the impact of telework activities on business performance. The results of the study confirm the hypotheses presented in the article, emphasizing that the performance indicator of employees working in the remote system is the direct and intrinsic result of the collaboration of several factors, such as personal psychological, economic, and professional needs, system variables and regulation, while the ability to adapt to telework has a moderator effect between independent variables and the organizational performance. Identifying the determinants that contribute to increasing organizational performance through professional activities in telework is relevant for the human resource management, to value the positive aspects, such as the ability to actively involve employees, rewarded for their work and to prevent their resilience to change.

Suggested Citation

  • Mihail Busu & Attila Gyorgy, 2021. "The Mediating Role of the Ability to Adapt to Teleworking to Increase the Organizational Performance," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 23(58), pages 654-654, August.
  • Handle: RePEc:aes:amfeco:v:23:y:2021:i:58:p:654
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    References listed on IDEAS

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    1. Oksana Tokarchuk & Roberto Gabriele & Giorgio Neglia, 2021. "Teleworking during the Covid-19 Crisis in Italy: Evidence and Tentative Interpretations," Sustainability, MDPI, vol. 13(4), pages 1-11, February.
    2. Agota Giedrė Raišienė & Violeta Rapuano & Kristina Varkulevičiūtė & Katarína Stachová, 2020. "Working from Home—Who Is Happy? A Survey of Lithuania’s Employees during the COVID-19 Quarantine Period," Sustainability, MDPI, vol. 12(13), pages 1-23, July.
    3. Santo Milasi & Ignacio González-Vázquez & Enrique Fernández-Macías, 2021. "Telework before the COVID-19 pandemic: Trends and drivers of differences across the EU," OECD Productivity Working Papers 21, OECD Publishing.
    4. Forsythe, Eliza & Kahn, Lisa B. & Lange, Fabian & Wiczer, David, 2020. "Labor demand in the time of COVID-19: Evidence from vacancy postings and UI claims," Journal of Public Economics, Elsevier, vol. 189(C).
    5. Karl Brenke, 2016. "Home Office: Möglichkeiten werden bei weitem nicht ausgeschöpft," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 83(5), pages 95-105.
    6. Nicholas Bloom & James Liang & John Roberts & Zhichun Jenny Ying, 2015. "Does Working from Home Work? Evidence from a Chinese Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(1), pages 165-218.
    7. Toshihiro Okubo & Atsushi Inoue & Kozue Sekijima, 2021. "Teleworker Performance in the COVID-19 Era in  Japan," Asian Economic Papers, MIT Press, vol. 20(2), pages 175-192, Summer.
    8. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
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    Citations

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    Cited by:

    1. Tung Le Thanh & Hoang Dinh Van, 2023. "Impact of Social Network Usage on Employees’ Work Performance in Public Organizations: Evidence from Vietnam," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 17(1), pages 1691-1701, July.
    2. Zenon Pokojski & Agnieszka Kister & Marcin Lipowski, 2022. "Remote Work Efficiency from the Employers’ Perspective—What’s Next?," Sustainability, MDPI, vol. 14(7), pages 1-16, April.
    3. Marcela-Sefora Nemțeanu & Dan-Cristian Dabija, 2023. "Negative Impact of Telework, Job Insecurity, and Work–Life Conflict on Employee Behaviour," IJERPH, MDPI, vol. 20(5), pages 1-18, February.
    4. Ana Maria Mihaela Iordache & Codruța Cornelia Dura & Cristina Coculescu & Claudia Isac & Ana Preda, 2021. "Using Neural Networks in Order to Analyze Telework Adaptability across the European Union Countries: A Case Study of the Most Relevant Scenarios to Occur in Romania," IJERPH, MDPI, vol. 18(20), pages 1-28, October.

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    More about this item

    Keywords

    telework; organizational performance; econometric model; Partial Least Squares (PLS); Structural Equation Modelling (SEM); ability to adapt; COVID-19; psychological impact.;
    All these keywords.

    JEL classification:

    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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