IDEAS home Printed from https://ideas.repec.org/a/spr/decisn/v48y2021i4d10.1007_s40622-021-00295-5.html
   My bibliography  Save this article

Identifying and ranking techno-stressors among IT employees due to work from home arrangement during Covid-19 pandemic

Author

Listed:
  • Shyamali Satpathy

    (IILM Graduate School of Management)

  • Gokulananda Patel

    (Birla Institute of Management Technology)

  • Khushboo Kumar

    (Jaypee University of Engineering and Technology)

Abstract

Due to the outbreak of the Covid-19 across the globe, the extensive use of information technology has become the “new normal” in the present scenario of work from home arrangement. While many claim this policy to be a “win–win” strategy for both the employers and the employees, the Covid-19 pandemic has given the industries a valuable opportunity to assess the advantages and challenges of this strategy from a relatively long-term perspective. The remote work–psychological stress relationship is complex, and the current pandemic characterized by uncertainties and crisis atmosphere is making the situation worse. Amid constant changing scenario and prevailing decision fatigue, the objective of this research is twofolded. First, it aims to identify the techno-stressors impacting IT Professionals in the work from home mode. For this purpose, primary data were collected from 334 IT sector full-time employees and analysed using exploratory factor analysis and confirmatory factor analysis. Second, derive weight/rank of each techno-stressor using analytical hierarchy process to quantify the relative priority of the techno-stressors. This method includes both the qualitative and quantitative aspects of the complex problem. Findings revealed “fear of job loss due to new ICT” due to highest weightage appears to be the most pressing issue while “work beyond office hour” has least weightage. By identifying and prioritizing the type of techno-stressors using the mixed method approach, the present research intends to provide the useful input to decision makers in making wise decisions during Covid-19 pandemic and beyond.

Suggested Citation

  • Shyamali Satpathy & Gokulananda Patel & Khushboo Kumar, 2021. "Identifying and ranking techno-stressors among IT employees due to work from home arrangement during Covid-19 pandemic," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 48(4), pages 391-402, December.
    • Handle: RePEc:spr:decisn:v:48:y:2021:i:4:d:10.1007_s40622-021-00295-5
    DOI: 10.1007/s40622-021-00295-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40622-021-00295-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s40622-021-00295-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Vikram Sethi & Tonya Barrier & Ruth C. King, 1999. "An Examination of the Correlates of Burnout in Information Systems Professionals," Information Resources Management Journal (IRMJ), IGI Global, vol. 12(3), pages 5-13, July.
    2. Sardar, Tridip & Nadim, Sk Shahid & Rana, Sourav & Chattopadhyay, Joydev, 2020. "Assessment of lockdown effect in some states and overall India: A predictive mathematical study on COVID-19 outbreak," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    3. Monica Molino & Emanuela Ingusci & Fulvio Signore & Amelia Manuti & Maria Luisa Giancaspro & Vincenzo Russo & Margherita Zito & Claudio G. Cortese, 2020. "Wellbeing Costs of Technology Use during Covid-19 Remote Working: An Investigation Using the Italian Translation of the Technostress Creators Scale," Sustainability, MDPI, vol. 12(15), pages 1-20, July.
    4. Thomas L. Saaty & Luis G. Vargas, 2012. "Models, Methods, Concepts & Applications of the Analytic Hierarchy Process," International Series in Operations Research and Management Science, Springer, edition 2, number 978-1-4614-3597-6, December.
    5. Shalini Chandra & Anuragini Shirish & Shirish C. Srivastava, 2019. "Does technostress inhibit employee innovation? Examining the linear and curvilinear influence of technostress creators," Post-Print hal-02333209, HAL.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Roberto Carlos Dávila Morán, 2023. "Influence of Remote Work on the Work Stress of Workers in the Context of the COVID-19 Pandemic: A Systematic Review," Sustainability, MDPI, vol. 15(16), pages 1-24, August.
    2. Clara De Vincenzi & Martina Pansini & Bruna Ferrara & Ilaria Buonomo & Paula Benevene, 2022. "Consequences of COVID-19 on Employees in Remote Working: Challenges, Risks and Opportunities An Evidence-Based Literature Review," IJERPH, MDPI, vol. 19(18), pages 1-18, September.
    3. Bruna Ferrara & Martina Pansini & Clara De Vincenzi & Ilaria Buonomo & Paula Benevene, 2022. "Investigating the Role of Remote Working on Employees’ Performance and Well-Being: An Evidence-Based Systematic Review," IJERPH, MDPI, vol. 19(19), pages 1-12, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Aini Farmania & Riska Dwinda Elsyah & Ananda Fortunisa, 2022. "The Phenomenon of Technostress during the COVID-19 Pandemic Due to Work from Home in Indonesia," Sustainability, MDPI, vol. 14(14), pages 1-21, July.
    2. Martina Artmann, 2013. "Response-Efficiency-Assessment: A Conceptual Framework For Rating Policy'S Efficiency To Meet Sustainable Development On The Example Of Soil Sealing Management," Journal of Environmental Assessment Policy and Management (JEAPM), World Scientific Publishing Co. Pte. Ltd., vol. 15(04), pages 1-33.
    3. Gözaçan Nazlıcan & Lafci Çisem, 2020. "Evaluation of Key Performance Indicators of Logistics Firms," Logistics, Supply Chain, Sustainability and Global Challenges, Sciendo, vol. 11(1), pages 24-32, February.
    4. Sharma, Natasha & Verma, Atul Kumar & Gupta, Arvind Kumar, 2021. "Spatial network based model forecasting transmission and control of COVID-19," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    5. Cooper, Ian & Mondal, Argha & Antonopoulos, Chris G., 2020. "Dynamic tracking with model-based forecasting for the spread of the COVID-19 pandemic," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    6. Leonel Prieto & Md Farid Talukder, 2023. "Resilient Agility: A Necessary Condition for Employee and Organizational Sustainability," Sustainability, MDPI, vol. 15(2), pages 1-24, January.
    7. Subhendu Chakrabarti & Sumana Guha, 2016. "Differentials in Information Technology Professional Category and Turnover Propensity: A Study," Global Business Review, International Management Institute, vol. 17(3_suppl), pages 90-106, June.
    8. Xianmei Wang & Hanhui Hu, 2017. "Sustainability in Chinese Higher Educational Institutions’ Social Science Research: A Performance Interface toward Efficiency," Sustainability, MDPI, vol. 9(11), pages 1-18, October.
    9. Satheeskumar Navaratnam, 2022. "Selecting a Suitable Sustainable Construction Method for Australian High-Rise Building: A Multi-Criteria Analysis," Sustainability, MDPI, vol. 14(12), pages 1-17, June.
    10. Md Monjurul Islam & Tofael Ahamed & Ryozo Noguchi, 2018. "Land Suitability and Insurance Premiums: A GIS-based Multicriteria Analysis Approach for Sustainable Rice Production," Sustainability, MDPI, vol. 10(6), pages 1-28, May.
    11. Roberta Mele & Giuliano Poli, 2017. "The Effectiveness of Geographical Data in Multi-Criteria Evaluation of Landscape Services †," Data, MDPI, vol. 2(1), pages 1-11, February.
    12. Mariia Dushenko & Clemet Thærie Bjorbæk & Kenn Steger-Jensen, 2018. "Application of a Sustainability Model for Assessing the Relocation of a Container Terminal: A Case Study of Kristiansand Port," Sustainability, MDPI, vol. 11(1), pages 1-18, December.
    13. Amelia Manuti & Maria Luisa Giancaspro & Monica Molino & Emanuela Ingusci & Vincenzo Russo & Fulvio Signore & Margherita Zito & Claudio Giovanni Cortese, 2020. "“Everything Will Be Fine”: A Study on the Relationship between Employees’ Perception of Sustainable HRM Practices and Positive Organizational Behavior during COVID19," Sustainability, MDPI, vol. 12(23), pages 1-17, December.
    14. Hao-Chang Tsai & An-Sheng Lee & Huang-Ning Lee & Chien-Nan Chen & Yu-Chun Liu, 2020. "An Application of the Fuzzy Delphi Method and Fuzzy AHP on the Discussion of Training Indicators for the Regional Competition, Taiwan National Skills Competition, in the Trade of Joinery," Sustainability, MDPI, vol. 12(10), pages 1-19, May.
    15. Adiprasetyo, Teguh & Suhartoyo, Hery & Firdaus, Arief, 2017. "Developing Strategy for Advancing Organic Agriculture as Sustainable Agricultural Practice," INA-Rxiv wb37h, Center for Open Science.
    16. Mila Bravo & Dylan Jones & David Pla-Santamaria & Graham Wall, 2018. "Robustness of weighted goal programming models: an analytical measure and its application to offshore wind-farm site selection in United Kingdom," Annals of Operations Research, Springer, vol. 267(1), pages 65-79, August.
    17. Md. Arif Chowdhury & Hasnat Sabrina & Rashed Uz Zzaman & Syed Labib Ul Islam, 2022. "Green building aspects in Bangladesh: A study based on experts opinion regarding climate change," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(7), pages 9260-9284, July.
    18. Yeeun Shin & Suyeon Kim & Sang-Woo Lee & Kyungjin An, 2020. "Identifying the Planning Priorities for Green Infrastructure within Urban Environments Using Analytic Hierarchy Process," Sustainability, MDPI, vol. 12(13), pages 1-13, July.
    19. Rubayyi T. Alqahtani & Abdelhamid Ajbar & Nadiyah Hussain Alharthi, 2024. "Dynamics of a Model of Coronavirus Disease with Fear Effect, Treatment Function, and Variable Recovery Rate," Mathematics, MDPI, vol. 12(11), pages 1-16, May.
    20. T. S. Ragu-Nathan & Monideepa Tarafdar & Bhanu S. Ragu-Nathan & Qiang Tu, 2008. "The Consequences of Technostress for End Users in Organizations: Conceptual Development and Empirical Validation," Information Systems Research, INFORMS, vol. 19(4), pages 417-433, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:decisn:v:48:y:2021:i:4:d:10.1007_s40622-021-00295-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.