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Increasing Employees’ Willingness to Share: Introducing Appeal Strategies for People Analytics

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Software Business (ICSOB 2022)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 463))

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Abstract

Increasingly digital workplaces enable advanced people analytics (PA) that can improve work, but also implicate privacy risks for employees. These systems often depend on employees sharing their data voluntarily. Thus, to leverage the potential benefits of PA, companies have to manage employees’ disclosure decision. In literature, we identify two main strategies: increase awareness or apply appeal strategies. While increased awareness may lead to more conservative data handling, appeal strategies can promote data sharing. Yet, to our knowledge, no systematic overview of appeal strategies for PA exists. Thus, we develop an initial taxonomy of strategies based on a systematic literature review and interviews with 18 experts. We describe strategies in the dimensions of values, benefits, and incentives. Thereby, we present concrete options to increase the appeal of PA for employees.

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References

  1. Giermindl, L.M., Strich, F., Christ, O., Leicht-Deobald, U., Redzepi, A.: The dark sides of people analytics: reviewing the perils for organisations and employees. Eur. J. Inf. Syst. 31(3), 410–435 (2021)

    Article  Google Scholar 

  2. Gal, U., Blegind Jensen, T., Stein, M.-K.: Breaking the vicious cycle of algorithmic management: a virtue ethics approach to people analytics. Inf. Organiz. 30(2) (2020)

    Google Scholar 

  3. Tursunbayeva, A., Di Lauro, S., Pagliari, C.: People analytics—A scoping review of conceptual boundaries and value propositions. Int. J. Inf. Manag. 43, 224–247 (2018)

    Article  Google Scholar 

  4. DiClaudio, M.: People analytics and the rise of HR: how data, analytics and emerging technology can transform human resources (HR) into a profit center. Strateg. HR Rev. 18(2), 42–46 (2019)

    Article  Google Scholar 

  5. Berente, N., Gu, B., Recker, J., Santhanam, R.: Managing artificial intelligence. MIS Q. 45(3), 1433–1450 (2021)

    Google Scholar 

  6. Frick, N.R.J., Mirbabaie, M., Stieglitz, S., Salomon, J.: Maneuvering through the stormy seas of digital transformation: the impact of empowering leadership on the AI readiness of enterprises. J. Decis. Syst. 30(2–3), 235–258 (2021)

    Article  Google Scholar 

  7. Mirbabaie, M., Stieglitz, S., Brükner, F., Hofeditz, L., Ross, B., Frick, N.R.J.: Understanding collaboration with virtual assistants – the role of social identity and the extended self. Bus. Inf. Syst. Eng. 63(1), 21–37 (2021)

    Article  Google Scholar 

  8. Tursunbayeva, A., Pagliari, C., Di Lauro, S., Antonelli, G.: The ethics of people analytics: risks, opportunities and recommendations. Pers. Rev. 51(3), 900–921 (2021)

    Article  Google Scholar 

  9. Teebken, M.: What makes workplace privacy special? An investigation of determinants of privacy concerns in the digital workplace. In: Proceedings of the 2021 Americas Conference on Information Systems (2021)

    Google Scholar 

  10. Bhave, D.P., Teo, L.H., Dalal, R.S.: Privacy at work: a review and a research agenda for a contested terrain. J. Manag. 46(1), 127–164 (2020)

    Google Scholar 

  11. Bélanger, F., Crossler, R.E.: Privacy in the digital age: a review of information privacy research in information systems. MIS Q. 35(4), 1017–1041 (2011)

    Article  Google Scholar 

  12. Dinev, T., Hart, P.: An extended privacy calculus model for e-commerce transactions. Inf. Syst. Res. 17(1), 61–80 (2006)

    Article  Google Scholar 

  13. Risius, M., Baumann, A., Krasnova, H.: Developing a new paradigm: introducing the intention-behaviour gap to the privacy paradox phenomenon. In: Proceedings of the 28th European Conference on Information Systems (2020)

    Google Scholar 

  14. Brin, D.: The Transparent Society. Will Technology Force Us to Choose Between Privacy and Freedom? Basic Books, New York (1998)

    Google Scholar 

  15. Gierlich-Joas, M., Hess, T., Neuburger, R.: More self-organization, more control – or even both? Inverse transparency as a new digital leadership concept. Bus. Res. 13, 921–947 (2020)

    Article  Google Scholar 

  16. Zieglmeier, V., Pretschner, A.: Trustworthy transparency by design. arXiv preprint arXiv:2103.10769 [cs.SE] (2021)

  17. Faraj, S., Renno, W., Bhardwaj, A.: Unto the breach: what the COVID-19 pandemic exposes about digitalization. Information and Organization 31.1 (2021)

    Google Scholar 

  18. Hanelt, A., Bohnsack, R., Marz, D., Antunes Marante, C.: A systematic review of the literature on digital transformation: insights and implications for strategy and organizational change. J. Manag. Stud. 58(5), 1159–1197 (2020)

    Article  Google Scholar 

  19. Baptista, J., Stein, M.-K., Klein, S., Watson-Manheim, M.B., Lee, J.: Digital work and organisational transformation: emergent digital/human work configurations in modern organisations. J. Strateg. Inf. Syst. 29(2) (2020)

    Google Scholar 

  20. Jensen, T.B., Stein, M.-K.: Designing a digital workplace: introducing complementary smart work elements. J. Financ. Transform. 52, 42–53 (2021)

    Google Scholar 

  21. Hacker, J., vom Brocke, J., Handali, J., Otto, M., Schneider, J.: Virtually in this together – how web-conferencing systems enabled a new virtual togetherness during the COVID-19 crisis. Eur. J. Inf. Syst. 29(5), 563–584 (2020)

    Article  Google Scholar 

  22. Dinh, J.E., Lord, R.G., Gardner, W.L., Meuser, J.D., Liden, R.C., Hu, J.: Leadership theory and research in the new millennium: current theoretical trends and changing perspectives. Leadersh. Q. 25(1), 36–62 (2014)

    Article  Google Scholar 

  23. Marabelli, M., Vaast, E., Li, J.L.: Preventing the digital scars of COVID-19. Eur. J. Inf. Syst. 30(2), 176–192 (2021)

    Article  Google Scholar 

  24. Cram, W.A.: Information systems control: a review and framework for emerging information systems processes. J. Assoc. Inf. Syst. 17, 216–266 (2016)

    Google Scholar 

  25. Smith, H.J., Dinev, T., Xu, H.: Information privacy research: an interdisciplinary review. MIS Q. 35(4), 989–1015 (2011)

    Article  Google Scholar 

  26. Teebken, M., Hess, T.: Privacy in a digitized workplace: towards an understanding of employee privacy concerns. In: Proceedings of the 54th Hawaii International Conference on System Sciences, pp. 6661–6670 (2021)

    Google Scholar 

  27. Schnackenberg, A., Tomlinson, E.: Organizational transparency: a new perspective on managing trust in organization-stakeholder relationships. J. Manag. 42(7), 1784–1810 (2016)

    Google Scholar 

  28. Myers, M.D., Newman, M.: The qualitative interview in IS research: examining the craft. Inf. Organ. 17(1), 2–26 (2007)

    Article  Google Scholar 

  29. Spiekermann, S., Winkler, T.: Value-based engineering for ethics by design. arXiv preprint arXiv:2004.13676 [cs.CY] (2020)

  30. Sarker, S., Chatterjee, S., Xiao, X.: How “sociotechnical” is our IS research? An assessment of possible ways forward. In: Proceedings of the 35th International Conference on Information Systems (2015)

    Google Scholar 

  31. Leclercq-Vandelannoitte, A., Isaac, H., Kalika, M.: Mobile information systems and organisational control: beyond the panopticon metaphor? Eur. J. Inf. Syst. 23, 543–557 (2014)

    Article  Google Scholar 

  32. Mettler, T., Winter, R.: Are business users social? A design experiment exploring information sharing in enterprise social system. J. Inf. Technol. 31, 101–114 (2016)

    Article  Google Scholar 

  33. Schenk, A.: Predictably satisfied: contributions of artificial intelligence to intra-organizational communication. Available at SSRN: 3856479 (2021)

    Google Scholar 

  34. Cichy, P., Salge, T.-O., Rajiv, K.: Extending the privacy calculus: the role of psychological ownership. In: Proceedings of the 2014 International Conference on Information Systems (2014)

    Google Scholar 

  35. Stock-Homburg, R., Hannig, M.: Is there a privacy paradox in the workplace? In: Proceedings of the 2020 International Conference on Information Systems (2020)

    Google Scholar 

  36. Benbya, H., Pachidi, S., Jarvenpaa, S.L.: Special issue editorial: artificial intelligence in organizations: implications for information systems research. J. Assoc. Inf. Syst. 22(2) (2021)

    Google Scholar 

  37. Princi, E., Krämer, N.C.: Acceptance of smart electronic monitoring at work as a result of a privacy calculus decision. Informatics 6(3), 40 (2019)

    Article  Google Scholar 

  38. Goodhue, D.L., Thompson, R.L.: Task-technology fit and individual performance. MIS Q. 19(2), 213–236 (1995)

    Article  Google Scholar 

  39. Xu, H., Tao, H.H., Tan, B.C.Y., Agarwal, R.: The role of push-pull technology in privacy calculus: the case of location-based services. J. Manag. Inf. Syst. 26(3), 135–174 (2009)

    Article  Google Scholar 

  40. Naous, D., Kulkarni, V., Legner, C., Garbinato, B.: Information disclosure in location-based services: an extended privacy calculus model. In: Proceedings of the 40th International Conference on Information Systems (2019)

    Google Scholar 

  41. Hann, I.-H., Hui, K.-L., Tom Lee, S.-Y., Png, I.P.L.: Overcoming online information privacy concerns: an information-processing theory approach. J. Manag. Inf. Syst. 24(2), 13–42 (2014)

    Google Scholar 

  42. Lowry, P.B., Posey, C., Bennett, R.J., Roberts, T.L.: Leveraging fairness and reactance theories to deter reactive computer abuse following enhanced organisational information security policies: an empirical study of the influence of counterfactual reasoning and organisational trust. Inf. Syst. J. 25(3), 193–273 (2015)

    Article  Google Scholar 

  43. Roßnagel, A., Pfitzmann, A., Garstka, H.: Modernisierung des Datenschutzrechts: Gutachten im Auftrag des Bundesministeriums des Innern (2001)

    Google Scholar 

  44. Muldoon, C., O’Grady, M.J., O’Hare, G.M.P.: A survey of incentive engineering for crowdsourcing. Knowl. Eng. Rev. 33, 1–19 (2018)

    Article  Google Scholar 

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Acknowledgments

This work was supported by the German Federal Ministry of Education and Research (BMBF) under grant no. 5091121.

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Authors and Affiliations

  1. Technical University of Munich, Munich, Germany

    Valentin Zieglmeier & Alexander Pretschner

  2. Ludwig Maximilian University of Munich, Munich, Germany

    Maren Gierlich-Joas

Authors
  1. Valentin Zieglmeier
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  2. Maren Gierlich-Joas
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  3. Alexander Pretschner
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Corresponding author

Correspondence to Valentin Zieglmeier .

Editor information

Editors and Affiliations

  1. University of Galway, Galway, Ireland

    Noel Carroll

  2. University of South-Eastern Norway, Bø, Norway

    Anh Nguyen-Duc

  3. Free University of Bozen-Bolzano, Bolzano, Italy

    Xiaofeng Wang

  4. University of Oslo, Oslo, Norway

    Viktoria Stray

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Zieglmeier, V., Gierlich-Joas, M., Pretschner, A. (2022). Increasing Employees’ Willingness to Share: Introducing Appeal Strategies for People Analytics. In: Carroll, N., Nguyen-Duc, A., Wang, X., Stray, V. (eds) Software Business. ICSOB 2022. Lecture Notes in Business Information Processing, vol 463. Springer, Cham. https://doi.org/10.1007/978-3-031-20706-8_15

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  • DOI: https://doi.org/10.1007/978-3-031-20706-8_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-20705-1

  • Online ISBN: 978-3-031-20706-8

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