IDEAS home Printed from https://ideas.repec.org/a/spd/journl/v71y2021i3-4p122-140.html
   My bibliography  Save this article

The Impact of Organizational Stress on Financial Performance: Evidence from Software Development Companies

Author

Listed:
  • Shyamali Satpathy

    (IILM Graduate School of Management, Faculty of OB and HR)

  • Violeta Cvetkoska

    (Ss. Cyril and Methodius University in Skopje Faculty of Economics)

  • Gokulananda Patel

    (Professor of Decision Sciences Birla Institute of Management Technology, India)

Abstract

The aim of this paper is to examine the impact of organizational stress on financial performance in Indian software development companies. A questionnaire was distributed to employees of 17 Indian software development companies and filled by 501. We identified constructs using a literature review and expert opinion, which were then confirmed using exploratory and confirmatory factor analysis. Four stressors are used in this study: job insecurity, work-overload, technological complexity, and technological uncertainty. In the instance of software development companies in India, our findings indicate that stress has no effect on profitability (profit per asset) and vice versa. Additionally, work overload contributes to complexity and job insecurity. Profit orientation drives techno-complexity, while techno-uncertainty is driven by techno-complexity. We discovered that age is the key demographic influencer affecting stress positively and that when the average age exceeds 28 years, the average stress level increases by 15.6 units. This study can assist managers at software development companies in making fact-based decisions about the stressors identified and so foster a more productive work environment.

Suggested Citation

  • Shyamali Satpathy & Violeta Cvetkoska & Gokulananda Patel, 2021. "The Impact of Organizational Stress on Financial Performance: Evidence from Software Development Companies," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 71(3-4), pages 122-140, July-Dece.
  • Handle: RePEc:spd:journl:v:71:y:2021:i:3-4:p:122-140
    as

    Download full text from publisher

    File URL: https://spoudai.unipi.gr/index.php/spoudai/article/download/2916/2735/2916-3873-1-SM
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Nam, Taewoo, 2019. "Technology usage, expected job sustainability, and perceived job insecurity," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 155-165.
    3. Ravi Bapna & Nishtha Langer & Amit Mehra & Ram Gopal & Alok Gupta, 2013. "Human Capital Investments and Employee Performance: An Analysis of IT Services Industry," Management Science, INFORMS, vol. 59(3), pages 641-658, November.
    4. Peterson, Robert A, 1994. "A Meta-analysis of Cronbach's Coefficient Alpha," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(2), pages 381-391, September.
    5. Sandra E. Black & Lisa M. Lynch, 2001. "How To Compete: The Impact Of Workplace Practices And Information Technology On Productivity," The Review of Economics and Statistics, MIT Press, vol. 83(3), pages 434-445, August.
    6. Anitesh Barua & Charles H. Kriebel & Tridas Mukhopadhyay, 1995. "Information Technologies and Business Value: An Analytic and Empirical Investigation," Information Systems Research, INFORMS, vol. 6(1), pages 3-23, March.
    7. Nishtha Langer & Sandra A. Slaughter & Tridas Mukhopadhyay, 2014. "Project Managers' Practical Intelligence and Project Performance in Software Offshore Outsourcing: A Field Study," Information Systems Research, INFORMS, vol. 25(2), pages 364-384, June.
    8. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    9. 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)

    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. Surendra Gera & Wulong Gu, 2004. "The Effect of Organizational Innovation and Information and Communications Technology on Firm Performance," International Productivity Monitor, Centre for the Study of Living Standards, vol. 9, pages 37-51, Fall.
    2. Zand, Fardad & Van Beers, Cees & Van Leeuwen, George, 2011. "Information technology, organizational change and firm productivity: A panel study of complementarity effects and clustering patterns in Manufacturing and Services," MPRA Paper 46469, University Library of Munich, Germany.
    3. Erik Brynjolfsson & Wang Jin & Kristina McElheran, 2021. "The power of prediction: predictive analytics, workplace complements, and business performance," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 56(4), pages 217-239, October.
    4. 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.
    5. Hu, Qing & Quan, Jing “Jim”, 2005. "Evaluating the impact of IT investments on productivity: a causal analysis at industry level," International Journal of Information Management, Elsevier, vol. 25(1), pages 39-53.
    6. Singh, Pallavi & Bala, Hillol & Dey, Bidit Lal & Filieri, Raffaele, 2022. "Enforced remote working: The impact of digital platform-induced stress and remote working experience on technology exhaustion and subjective wellbeing," Journal of Business Research, Elsevier, vol. 151(C), pages 269-286.
    7. Nishtha Langer & Ram D. Gopal & Ravi Bapna, 2020. "Onward and Upward? An Empirical Investigation of Gender and Promotions in Information Technology Services," Information Systems Research, INFORMS, vol. 31(2), pages 383-398, June.
    8. K. Sudhir & Debabrata Talukdar, 2015. "The “Peter Pan Syndrome” in Emerging Markets: The Productivity-Transparency Trade-off in IT Adoption," Marketing Science, INFORMS, vol. 34(4), pages 500-521, July.
    9. Issa Helmi & Lakkis Hussein & Dakroub Roy & Jaber Jad, 2023. "Examining User Engagement and Experience in Agritech," International Journal of Contemporary Management, Sciendo, vol. 59(2), pages 17-32, June.
    10. Choi, Byounggu & Poon, Simon K. & Davis, Joseph G., 2008. "Effects of knowledge management strategy on organizational performance: A complementarity theory-based approach," Omega, Elsevier, vol. 36(2), pages 235-251, April.
    11. Stefan Schweikl & Robert Obermaier, 2020. "Lessons from three decades of IT productivity research: towards a better understanding of IT-induced productivity effects," Management Review Quarterly, Springer, vol. 70(4), pages 461-507, November.
    12. Linpei Song & Zhuang Ma & Junyi Sun, 2023. "The Influence of Technostress, Learning Goal Orientation, and Perceived Team Learning Climate on Intra-Team Knowledge Sharing and Innovative Practices Among ICT-Enabled Team Members," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 115-136, January.
    13. Prasanna Tambe & Xuan Ye & Peter Cappelli, 2020. "Paying to Program? Engineering Brand and High-Tech Wages," Management Science, INFORMS, vol. 66(7), pages 3010-3028, July.
    14. Prithwiraj Choudhury & Evan Starr & Rajshree Agarwal, 2020. "Machine learning and human capital complementarities: Experimental evidence on bias mitigation," Strategic Management Journal, Wiley Blackwell, vol. 41(8), pages 1381-1411, August.
    15. Mohamed Kossaï & Patrick Piget, 2012. "Utilisation des technologies de l'information et des communications (TIC) et performance économique des PME Tunisiennes :une étude économétrique," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 55(3), pages 305-328.
    16. Emeka Nkoro & Aham Kelvin Uko, 2016. "Exchange Rate and Inflation Volatility and Stock Prices Volatility: Evidence from Nigeria, 1986-2012," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 6(6), pages 1-4.
    17. Joseph A. Cazier & Benjamin B. M. Shao & Robert D. St. Louis, 2007. "Sharing information and building trust through value congruence," Information Systems Frontiers, Springer, vol. 9(5), pages 515-529, November.
    18. Czujack, Corinna & Flôres Junior, Renato Galvão & Ginsburgh, Victor, 1995. "On long-run price comovements between paintings and prints," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 269, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    19. Sotirios Varelas, 2022. "Virtual Immersive Platforms as a Strategic Innovative Destination Marketing Tool in the COVID-19 Era," Sustainability, MDPI, vol. 14(19), pages 1-15, October.
    20. Loperfido, Nicola, 2010. "A note on marginal and conditional independence," Statistics & Probability Letters, Elsevier, vol. 80(23-24), pages 1695-1699, December.

    More about this item

    Keywords

    organizational stress; financial performance; stressors; causality; software development companies;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

    Statistics

    Access and download statistics

    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:spd:journl:v:71:y:2021:i:3-4:p:122-140. 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: SPOUDAI Journal of Economics and Business (email available below). General contact details of provider: https://edirc.repec.org/data/depirgr.html .

    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.