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

Valentin Zieglmeier*, Maren Gierlich-Joas, Alexander Pretschner

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


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.

Original languageEnglish
Title of host publicationSoftware Business - 13th International Conference, ICSOB 2022, Proceedings
EditorsNoel Carroll, Anh Nguyen-Duc, Xiaofeng Wang, Viktoria Stray
Number of pages14
PublisherSpringer Science+Business Media
Publication date2022
ISBN (Print)9783031207051
Publication statusPublished - 2022
Externally publishedYes
Event13th International Conference on Software Business, ICSOB 2022 - Bolzano, Italy
Duration: 8 Nov 202211 Nov 2022


Conference13th International Conference on Software Business, ICSOB 2022
SeriesLecture Notes in Business Information Processing
Volume463 LNBIP


  • Disclosure decision
  • Employee privacy concerns
  • HR analytics
  • People analytics
  • Taxonomy

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