Electronic Performance Monitoring: Review of Theories, Conceptual Framework, and Study Proposal

Thomas Kalischko, René Riedl

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

1 Citation (Scopus)

Abstract

Use of electronic monitoring techniques in organizational settings has significantly gained in relevance in recent years, predominantly due to the increased availability of corresponding information and communication technologies. Moreover, the restricted social mobility due to COVID-19 and the resulting increase of home office has come along with an increased interest of employers to monitor the activities of their employees. Against the background of these developments, along with the general importance of theory-focused research, the goal of this review is to identify the theories used in the electronic performance monitoring (EPM) literature and to illustratively show how recently identified research gaps could be examined in future studies based on theory integration. A total of twelve theories were extracted from the literature and examined. Four of these theories were integrated in a conceptual framework. In addition, a study design for future research is outlined. The overall objective of the present contribution is to strengthen the theoretical foundation of the EPM research field.
Original languageEnglish
Title of host publicationHCI in Business, Government and Organizations - 9th International Conference, HCIBGO 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings
Subtitle of host publication9th International Conference, HCIBGO 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Virtual Event, June 26 – July 1, 2022, Proceedings
EditorsFiona Fui-Hoon Nah, Keng Siau
Place of PublicationCham
PublisherSpringer
Pages388-406
Number of pages19
ISBN (Electronic)978-3-031-05544-7
ISBN (Print)978-3-031-05543-0
DOIs
Publication statusPublished - 16 Jun 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13327 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • Computer monitoring
  • Electronic performance monitoring
  • Review
  • Theory
  • Workplace surveillance

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