No Stone Left Unturned? Toward a Framework for the Impact of Datafication Technologies on Organizational Control

Simon Schafheitle*, Antoinette Weibel, Isabel Ebert, Gabriel Kasper, Christoph Schank, Ulrich Leicht-Deobald

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

62 Citations (Scopus)
3 Downloads (Pure)


The goal of this article is to develop an empirically grounded framework to analyze how new technologies, particularly those used in the realm of datafication, alter or ex-pand traditional organizational control configurations. Datafication technologies for employee-related data-gathering, analysis, interpretation, and learning are increasingly applied in the workplace. Yet there remains a lack of detailed insight regarding the effects of these technologies on traditional control. To convey a better understanding of such datafication technologies in employee management and control, we used a three-step, exploratory, multi-method morphological analysis. In step 1, we developed a framework based on 26 semi-structured interviews with technological experts. In step 2, we refined and redefined the framework in […] and redefined the framework in four workshops with scholars specializing in topics that emerged in step 1. In step 3, we evaluated and vali-dated the framework using potential and actual users of datafication technology controls As a result, our refined and validated “Datafication Technology Control Configuration” (DTCC) framework comprises 11 technology control dimensions and 36 technology control elements, offering the first insights into how datafication technologies can change our understanding of traditional control configurations.

Original languageEnglish
Pages (from-to)455-487
Number of pages33
JournalAcademy of Management Discoveries
Issue number3
Publication statusPublished - Sept 2020
Externally publishedYes


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