Articles
DOI DOI: 10.5281/zenodo.18435932

The Use of Social Media During Working Hours and Organizational Performance. Economic and Managerial Implications in the Private Sector

Abstract

Social media has become embedded in daily work routines, shaping communication
patterns and affecting attention, task execution, and exposure to digital risks. While
social media can support information exchange and social capital, its uncontrolled use
during working hours may reduce effective labour utilisation and generate measurable
economic costs. This study examines the prevalence and patterns of social media
use during working hours and explores their managerial and economic implications
for organisational performance in the private sector. A structured questionnaire was
administered to 50 private-sector employees. The results show that 78% of respondents
use social media during working hours, and 76% report an absence of clear organisational
rules regulating such use. Instagram (34%), Facebook (26%), and TikTok (20%) are
the most frequently used platforms, indicating a predominance of entertainment- and
feed-based applications. Beyond productivity concerns, 52% report that social media
affects mood, and 32% report experiencing online blackmail, signalling non-trivial
psychosocial and cybersecurity risks. Using a conservative wage-cost illustration
anchored on a €350 gross monthly salary, the study estimates that 30 minutes of nonproductive use per day among affected employees can imply annual wage-cost losses
exceeding €10,000 for an organisation of similar size, excluding additional hidden
costs such as switching times, errors, and reputational exposure. The analysis further
argues that reduced effective workforce capacity may strengthen managerial incentives
toward process automation and technological substitution, potentially contributing to
workforce reduction or non-replacement dynamics. The paper concludes with actionable
governance recommendations, emphasising outcome-based performance management,
digital awareness, and proportional policies that protect productivity while avoiding
counterproductive overtsurveillance.

How to Cite

Haziri, I. (2026). The Use of Social Media During Working Hours and Organizational Performance. Economic and Managerial Implications in the Private Sector. Transnational Academic Journal of Economics, 3(1), 143–162. https://doi.org/10.5281/zenodo.18435932

References

  1. Archer-Brown, C., & Kietzmann, J. (2018). Strategic knowledge management and enterprise social media. Journal of Knowledge Management, 22(6), 1288–1309.
  2. Berraies, S., & Chaher, M. (2020). Social capital, employees’ well-being and knowledge sharing: Does enterprise social networks use matter? Journal of Intellectual Capital, 21(6), 1153–1178.
  3. Bertot, J. C., Jaeger, P. T., & Hansen, D. (2012). The impact of policies on government social media usage: Issues, challenges, and recommendations. Government Information Quarterly, 29(1), 30–40.
  4. Brailovskaia, J., & Margraf, J. (2022). Work overload and addictive social media use: Relationship with depression symptoms and life satisfaction. Journal of Technology in Behavioral Science, 7(3), 358–368.
  5. Charoensukmongkol, P. (2014). Effects of support and job demands on social media use and work outcomes. Computers in Human Behavior, 36, 340–349.
  6. Eriksson, M. (2018). Lessons for crisis communication on social media: A systematic review of what research tells the practice. International Journal of Strategic Communication, 12(5), 526–542.
  7. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage.
  8. Hayes, A. F. (2018). Introduction to mediation, moderation, and conditional process analysis (2nd ed.). Guilford Press.
  9. ISO. (2018). ISO 30414: Human resource management—Guidelines for internal and external human capital reporting. International Organization for Standardization.
  10. Karr-Wisniewski, P., & Lu, Y. (2010). When more is too much: Operationalizing technology overload and exploring its impact on knowledge worker productivity. Computers in Human Behavior, 26(5), 1061–1072.
  11. Kietzmann, J. H., Hermkens, K., McCarthy, I. P., & Silvestre, B. S. (2011). Social media? Get serious! Understanding the functional building blocks of social media. Business Horizons, 54(3), 241–251.
  12. Leftheriotis, I., & Giannakos, M. N. (2014). Using social media for work: Losing your time or improving your work? Computers in Human Behavior, 31, 134–142.
  13. Moqbel, M., & Kock, N. (2018). Unveiling the dark side of social networking sites: Personal and work-related consequences of social networking site addiction. Information & Management, 55(1), 109–119.
  14. Muller, E., & Peres, R. (2019). The effect of social networks structure on innovation performance: A review and directions for research. International Journal of Research in Marketing, 36(1), 3–19.
  15. Naeem, M., & Ozuem, W. (2021). Exploring the use of social media sites for health professionals’ engagement and productivity in public sector hospitals. Employee Relations, 43(5), 1029–1045.
  16. Nisar, T. M., Prabhakar, G., & Strakova, L. (2019). Social media information benefits, knowledge management and smart organizations. Journal of Business Research, 94, 264–272.
  17. OECD. (2021). Measuring productivity. OECD Publishing.
  18. Oncioiu, I., et al. (2022). The influence of social networks on the digital recruitment of human resources: An empirical study in the tourism sector. Sustainability, 14(6), 3693.
  19. Pekkala, K. (2024). Digital inclusion and inequalities at work in the age of social media. Human Resource Management Journal, 34(3), 540–556.
  20. Song, Q., Wang, Y., Chen, Y., Benitez, J., & Hu, J. (2019). Impact of the usage of social media in the workplace on team and employee performance. Information & Management, 56(8), Article 103160.
  21. Sonnentag, S., & Fritz, C. (2015). Recovery from job stress: The stressor–detachment model as an integrative framework. Journal of Organizational Behavior, 36(S1), S72–S103.
  22. Tarafdar, M., Pullins, E. B., & Ragu-Nathan, T. S. (2015). Technostress and its impact on productivity. Journal of Management Information Systems, 31(4), 269–299.
  23. Van Zoonen, W., Verhoeven, J. W. M., & Vliegenthart, R. (2017). Social media’s dark side: Workplace implications. Computers in Human Behavior, 73, 717–726.
  24. Vishwanath, A., & Harrison, S. (2016). Examining the role of habitual social media use in task performance and interruptions. Computers in Human Behavior, 63, 1–9.
  25. Rexhepi, B. B. R. (2022). Accountability responsibility as an instrument for performance measurement. International Journal of Business and Technology, 11(1), Article 1.
  26. Mustafa, N., Fejzullahu, B., & Rexhepi, B. R. (2024). The impact of performance appraisal and training and development on the financial performance of small and medium-sized enterprises (SMEs). International Journal of Religion, 5(5), 869–877.
  27. Murtezaj, I. M., Rexhepi, B. R., Xhaferi, B. S., Raimi, N., Xhafa, H., & Xhaferi, S. (2024). The cost calculation method based on activity is known as the activity-based costing (ABC) method. International Journal of Religion, 5(10).
  28. Rexhepi, B. R. (2025). The spread and use of managerial accounting in Kosovo enterprises: Challenges and opportunities for improvement. Preprints. https://doi.org/10.20944/PREPRINTS202503.2290.V1
  29. Rexhepi, B. R., & Berisha, B. (2022). Factors that determine the success of manufacturing firms: Empirical evidence from Kosovo. Calitatea, 23(191), 194–202.
  30. Murtezaj, I. M., Rexhepi, B. R., Dauti, B., & Xhafa, H. (2024). Mitigating economic losses and prospects for the development of the energy sector in the Republic of Kosovo. Economics of Development.