Digitalization Changing Work: Employees’ View on the Benefits and Hindrances

  • Jussi OkkonenEmail author
  • Vilma Vuori
  • Miikka Palvalin
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 918)


The Digitalization of work may enable better use of knowledge, which is expected to result in enhanced productivity and efficiency. Different organizations adopt digital ways of working, products, services and processes in different ways and paces. The extent and pace of capitalizing digitalization’s potential in organizations has much to do with human attitude, ability to learn and the possibilities provided to use it in work. When looking digitalization from the employee viewpoint, it seems that the great expectations are not easily fulfilled. In fact, the effects of digitalization may be negative. This paper discusses the expectations and fears employees have towards digitalization changing their work. The issue is approached by using a qualitative data gathered along a survey. The aim was to find out if they see the effects digitalization has on their work as positive, negative, or something else, and which areas are highlighted.


Digitalization Digitalization of work Benefits Hindrances Employees 


  1. 1.
    Sassen, S.: Globalization and Its Discontents: Essays on the New Mobility of People and Money. New Press, New York (1998)Google Scholar
  2. 2.
    Neumeier, A., Wolf, T., Oesterle, S.: The Manifold Fruits of Digitalization: Determining the Literal Value Behind. 13. Internationale Tagung Wirtschaftinformatik WI (2017)Google Scholar
  3. 3.
    Porta, M., House, B., Buckley, L., Blitz, A.: Value 2.0: eight new rules for creating and capturing value from innovative technologies. Strategy Leadersh. 36(4), 10–18 (2008)CrossRefGoogle Scholar
  4. 4.
    Parida, V., Sjödin, D.R., Lenka, S., Wincent, J.: Developing global service innovation capabilities: how global manufacturers address the challenges of market heterogeneity. Res. Technol. Manag. 58(5), 35–44 (2015)CrossRefGoogle Scholar
  5. 5.
    Grudin, J.: Enterprise knowledge management and emerging technologies. In: Proceedings of the 39th Annual Hawaii International Conference on System Sciences, p. 57. IEEE Computer Society, Washington, DC (2006)Google Scholar
  6. 6.
    Shujahat, M., Sousa, M.J., Hussain, S., Nawaz, F., Wang, M., Umer, M.: Translating the impact of knowledge management processes into knowledge-based innovation: the neglected and mediating role of knowledge-worker productivity. J. Bus. Res. 94, 442–450 (2017)CrossRefGoogle Scholar
  7. 7.
    Michaelis, B., Wagner, J.D., Schweizer, L.: Knowledge as a key in the relationship between high-performance work systems and workforce productivity. J. Bus. Res. 68(5), 1035–1044 (2015)CrossRefGoogle Scholar
  8. 8.
    Chou, Y.-C., Chuang, H.H.C., Shao, B.B.M.: The impacts of information technology on total factor productivity: a look at externalities and innovations. Int. J. Prod. Econ. 158, 290–299 (2014)CrossRefGoogle Scholar
  9. 9.
    Ferreira, A., Du Plessis, T.: Effect of online social networking on employee productivity. S. Afr. J. Inf. Manag. 11(1), 1–16 (2009)CrossRefGoogle Scholar
  10. 10.
    Tuomi, I.: Economic productivity in the knowledge society: a critical review of productivity theory and the impacts of ICT. First Monday 9(7) (2004)Google Scholar
  11. 11.
    Haas, M.R., Hansen, M.T.: Different knowledge, different benefits: toward a productivity perspective on knowledge sharing in organizations. Strateg. Manag. J. 28(11), 1133–1153 (2007)CrossRefGoogle Scholar
  12. 12.
    Porten, M., Heppelmann, J.: How Smart, Connected Products Are Transforming Companies. HBR 93, 96–114 (2015)Google Scholar
  13. 13.
    Voth, D.: Why enterprise portals are the next big thing. Learn. Train. Innov. 3(9), 24–29 (2002)Google Scholar
  14. 14.
    Franssila, H., Okkonen, J., Savolainen, R.: Developing measures for information ergonomics in knowledge work. Ergonomics 59(3), 435–448 (2015)CrossRefGoogle Scholar
  15. 15.
    Bordi, L., Okkonen, J., Mäkiniemi, J.P., Heikkilä-Tammi, K.: Employee-developed ways to enhance information ergonomics. In: Proceedings of the 21st International Academic Mindtrek Conference, pp. 90–96. ACM (2017)Google Scholar
  16. 16.
    Salanova, M., Llorens, S., Cifre, E.: The dark side of technologies: technostress among users of information and communication technologies. Int. J. Psychol. 48(3), 422–436 (2013)CrossRefGoogle Scholar
  17. 17.
    Tarafdar, M., Tu, Q., Ragu-Nathan, T.S., Ragu-Nathan, B.S.: Crossing to the dark side: examining creators, outcomes, and inhibitors of technostress. Commun. ACM 54(9), 113–120 (2011)CrossRefGoogle Scholar
  18. 18.
    Chen, W.: Internet use, online communication, and ties in Americans’ networks. Soc. Sci. Comput. Rev. 31(4), 404–423 (2013)CrossRefGoogle Scholar
  19. 19.
    Ragu-Nathan, T.S., Tarafdar, M., Ragu-Nathan, B.S., Tu, Q.: The consequences of technostress for end users in organizations: conceptual development and empirical validation. Inf. Syst. Res. 19(4), 417–433 (2008)CrossRefGoogle Scholar
  20. 20.
    Bontis, N., Richards, D., Serenko, A.: Improving service delivery: investigating the role of information sharing, job characteristics, and employee satisfaction. Learn. Organ. 18(3), 239–250 (2011)CrossRefGoogle Scholar
  21. 21.
    Palvalin, M., Vuori, V., Helander, N.: Knowledge transfer and work productivity. In: Spender, J.C., Schiuma, G., Gavrilova, T. (eds.) Proceedings of 12th International Forum on Knowledge Asset Dynamics, St. Petersburgh, Russia, pp. 1120–1134 (2017)Google Scholar
  22. 22.
    Laschinger, H.K.S., Finegan, J., Shamian, J.: The impact of workplace empowerment, organizational trust on staff nurses’ work satisfaction and organizational commitment. Adv. Health Care Manag. 3, 59–85 (2002)CrossRefGoogle Scholar
  23. 23.
    Miller, K.I., Monge, P.R.: Participation, satisfaction, and productivity: a meta-analytic review. Acad. Manag. J. 29(4), 727–753 (1986)Google Scholar
  24. 24.
    Schmenner, R.W.: Service businesses and productivity. Decis. Sci. 35(3), 333–347 (2004)CrossRefGoogle Scholar
  25. 25.
    Wu, F., Huberman, B.A., Adamic, L.A., Tyler, J.R.: Information flow in social groups. Phys. A: Stat. Mech. Appl. 337(1–2), 327–335 (2004)MathSciNetCrossRefGoogle Scholar
  26. 26.
    Dyer, J., Nobeoka, K.: Creating and managing a high-performance knowledge-sharing network: the toyota case. Strateg. Manag. J. 21(3 Special Issue), 345–367 (2000)CrossRefGoogle Scholar
  27. 27.
    Titus, S., Bröchner, J.: Managing information flow in construction supply chains. Constr. Innov. 5(2), 71–82 (2005)CrossRefGoogle Scholar
  28. 28.
    Ben-Arieh, D., Pollatscheck, M.A.: Analysis of information flow in hierarchical organizations. Int. J. Prod. Res. 40(15), 3561–3573 (2002)CrossRefGoogle Scholar
  29. 29.
    Okkonen, J.: The use of performance measurement in knowledge work context. e-Business Research Center, Research Reports, vol. 9. Tampere University of Technology (TUT) and University of Tampere (UTA), Tampere (2004)Google Scholar
  30. 30.
    Tarafdar, M., Tu, Q., Ragu-Nathan, T.S., Ragu-Nathan, B.S.: Crossing to the dark side: examining creators, outcomes, and inhibitors of technostress. Commun. ACM 54(9), 113–120 (2011)CrossRefGoogle Scholar
  31. 31.
    Paulin, D., Suneson, K.: Knowledge transfer, knowledge sharing and knowledge barriers–three blurry terms in KM. Electron. J. Knowl. Manag. 10(1), 81–91 (2012)Google Scholar
  32. 32.
    Riege, A.: Three-dozen knowledge-sharing barriers managers must consider. J. Knowl. Manag. 9(3), 18–35 (2005)CrossRefGoogle Scholar
  33. 33.
    Day, A., Scott, N., Kelloway, E.K.: Information and communication technology: implications for job stress and employee well-being. In: Perrewé, P.L., Ganster, D.C. (eds.) New Developments in Theoretical and Conceptual Approaches to Job Stress, pp. 317–350, Emerald Group Publishing (2010)CrossRefGoogle Scholar
  34. 34.
    Mark, G., Iqbal, S.T., Czerwinski, M., Johns, P.: Bored mondays and focused afternoons: the rhythm of attention and online activity in the workplace. In: Proceedings of the 32nd Annual ACM Conference on Human Factors in Computing Systems, pp. 3025–3034. ACM, Toronto (2014)Google Scholar
  35. 35.
    Mark, G., Voida, S., Cardello, A.: A pace not dictated by electrons: an empirical study of work without email. In: Proceedings from SIGCHI 2012: Conference on Human Factors in Computing Systems, pp. 555–564. ACM, Austin (2012)Google Scholar
  36. 36.
    Gaudioso, F., Turel, O., Galimberti, C.: Explaining work exhaustion from a coping theory perspective: roles of techno-stressors and technology-specific coping strategies. Stud. Health Technol. Inform. 219, 14–20 (2017)Google Scholar
  37. 37.
    Maier, C., Laumer, S., Weinert, C., Weitzel, T.: The effects of technostress and switching stress on discontinued use of social networking services: a study of facebook use. Inf. Syst. J. 25(3), 275–308 (2015)CrossRefGoogle Scholar
  38. 38.
    Woods, D.D., Patterson, E.S., Roth, E.M.: Can we ever escape from data overload? A cognitive systems diagnosis. Cogn. Technol. Work 4(1), 22–36 (2002)CrossRefGoogle Scholar
  39. 39.
    Mark, G., Iqbal, S., Czerwinski, M., Johns, P., Sano, A.: Email duration, batching and self-interruption: patterns of email use on productivity and stress. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, pp. 1717–1728. ACM, San Jose (2016)Google Scholar
  40. 40.
    Barber, L.K., Santuzzi, A.M.: Please respond ASAP: workplace telepressure and employee recovery. J. Occup. Health Psychol. 20(2), 172 (2015)CrossRefGoogle Scholar
  41. 41.
    Barley, S.R., Meyerson, D.E., Grodal, S.: Email as a source and symbol of stress. Organ. Sci. 22(4), 887–906 (2011)CrossRefGoogle Scholar
  42. 42.
    Brown, R., Duck, J., Jimmieson, N.: E-mail in the workplace: the role of stress appraisals and normative response pressure in the relationship between e-mail stressors and employee strain. Int. J. Stress Manag. 21(4), 325–347 (2014)CrossRefGoogle Scholar
  43. 43.
    Wajcman, J., Rose, E.: Constant connectivity: rethinking interruptions at work. Organ. Stud. 32(7), 941–961 (2011)CrossRefGoogle Scholar
  44. 44.
    Vuori, V., Helander, N., Okkonen, J.: Digitalization in Knowledge Work: The Dream of Enhanced Performance. Cognition Technology & Work (2018).

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Tampere UniversityTampereFinland

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