Table A1

Full list of papers from literature review

Papers in literature review
Abelsen, S. N., Vatne, S. H., Mikalef, P., and Choudrie, J. (2021). Digital working during the COVID-19 pandemic: how task–technology fit improves work performance and lessens feelings of loneliness. Information Technology and People. https://doi.org/10.1108/ITP-12-2020-0870
Agogo, D., and Hess, T. J. (2018). “How does tech make you feel?” a review and examination of negative affective responses to technology use. European Journal of Information Systems, 27(5), 570–599. https://doi.org/10.1080/0960085X.2018.1435230
Beaudry, A., and Pinsonneault, A. (2010). The Other Side of Acceptance: Studying the Direct and Indirect Effects of Emotions on Information Technology Use. MIS Quarterly, 34(4), 689–710
Bhattacherjee, A., Davis, C. J., Connolly, A. J., and Hikmet, N. (2018). User response to mandatory IT use: a coping theory perspective. European Journal of Information Systems, 27(4), 395–414. https://doi.org/10.1057/s41303-017-0047-0
Bucher, E. L., Schou, P. K., and Waldkirch, M. (2021). Pacifying the algorithm – Anticipatory compliance in the face of algorithmic management in the gig economy. Organization, 28(1), 44–67. https://doi.org/10.1177/1350508420961531
Burns, A. J., Roberts, T. L., Posey, C., and Benjamin Lowry, P. (2019). The Adaptive Roles of Positive and Negative Emotions in Organizational Insiders' Security-Based Precaution Taking. Information System Journal, 30(4), 1228-1247. https://doi.org/10.1287/isre.2019.0860
D'Arcy, J., Herath, T., and Shoss, M. K. (2014). Understanding Employee Responses to Stressful Information Security Requirements: A Coping Perspective. Journal of Management Information Systems, 31(2), 285–318. https://doi.org/10.2753/MIS0742-1222310210
Ding, Y. (2018). Modelling continued use of information systems from a forward-looking perspective: Antecedents and consequences of hope and anticipated regret. Information and Management, 55(4), 461–471. https://doi.org/10.1016/j.im.2017.11.001
Elie-Dit-Cosaque, C., Pallud, J., and Kalika, M. (2011). The influence of individual, contextual, and social factors on perceived behavioural control of information technology: A field theory approach. Journal of Management Information Systems (Vol. 28, Issue 3, pp. 201–234). https://doi.org/10.2753/MIS0742-1222280306
Endrissat, N., and Islam, G. (2021). Hackathons as Affective Circuits: Technology, organizationality and affect. Organization Studies. https://doi.org/10.1177/01708406211053206
Kelly, S., and Noonan, C. (2008). Anxiety and psychological security in offshoring relationships: The role and development of trust as emotional commitment. Journal of Information Technology, 23(4), 232–248. https://doi.org/10.1057/jit.2008.15
Kim, J., Park, E. H., and Baskerville, R. L. (2016). A model of emotion and computer abuse. Information and Management, 53(1), 91–108. https://doi.org/10.1016/j.im.2015.09.003
Liang, H., and Xue, Y. (2009). Avoidance of Information Technology Threats: A Theoretical Perspective Quarterly ^h^hb Avoidance of Information Technology Threats: a theoretical perspective1. In Source: MIS Quarterly (Vol. 33, Issue 1)
Lin, T. C., Huang, S. L., and Chiang, S. C. (2018). User resistance to the implementation of information systems: A psychological contract breach perspective. Journal of the Association for Information Systems, 19(4), 306–332. https://doi.org/10.17705/1jais.00493
Moqbel, M., and Kock, N. (2018). Unveiling the dark side of social networking sites: Personal and work-related consequences of social networking site addiction. Information and Management, 55(1), 109–119. https://doi.org/10.1016/j.im.2017.05.001
Ormond, D., Warkentin, M., and Crossler, R. E. (2019). Integrating cognition with an affective lens to better understand information security policy compliance. Journal of the Association for Information Systems, 20(12), 1794–1843. https://doi.org/10.17705/1jais.00586
Ortiz de Guinea, A., and Markus, L. (2009). Why break the habit of a lifetime? Rethinking the roles of intention, habit, and emotion in continuing information technology use. MIS Quarterly, 33(3), 433–444. https://doi.org/10.2307/20650303
Ortiz de Guinea, A., and Webster, J. (2013). An Investigation of Information Systems Use Patterns: Technological Events as Triggers, the Effect of Time, and Consequences for Performance. MIS Quarterly, 37(4), 1165–1188
Ortiz de Guinea, A., Titah, R., and Léger, P. M. (2014). Explicit and implicit antecedents of users' behavioural beliefs in information systems: A neuropsychological investigation. Journal of Management Information Systems, 30(4), 179–210. https://doi.org/10.2753/MIS0742-1222300407
Ortiz de Guinea, A. (2016). A pragmatic multi-method investigation of discrepant technological events: Coping, attributions, and “accidental” learning. Information and Management, 53(6), 787–802. https://doi.org/10.1016/j.im.2016.03.003
Pignot, E. (2021). Who is pulling the strings in the platform economy? Accounting for the dark and unexpected sides of algorithmic control. Organization. https://doi.org/10.1177/1350508420974523
Rahman, M. S., Hossain, M. A., Abdel Fattah, F. A. M., and Ibne Mokter, A. M. (2021). Avoidance behaviour towards using pirated software: testing a seven-component model on SME employees. Information Technology and People, 35(1), 316–343. https://doi.org/10.1108/ITP-12–2019-0621
Reychav, I., Inbar, O., Simon, T., McHaney, R., and Zhu, L. (2019). Emotion in enterprise social media systems. Information Technology and People, 32(1), 18–46. https://doi.org/10.1108/ITP-05-2018-0213
Stein, M. K., Newell, S., Wagner, E. L., and Galliers, R. D. (2014). Felt quality of sociomaterial relations: Introducing emotions into sociomaterial theorising. Information and Organization, 24(3), 156–175. https://doi.org/10.1016/j.infoandorg.2014.05.003
Stein, M., Newell, S., Wagner, E. L., and Galliers, R. D. (2015). Coping with Information Technology: Mixed Emotions, Vacillation, and Nonconforming Use Patterns. MIS Quarterly, 39(2), 367-A6
vom Brocke, J., Hevner, A., Léger, P. M., Walla, P., and Riedl, R. (2020). Advancing a NeuroIS research agenda with four areas of societal contributions. European Journal of Information Systems, 29(1), 9–24. https://doi.org/10.1080/0960085X.2019.1708218
Walsh, I., Gettler-Summa, M., and Kalika, M. (2016). Expectable use: An important facet of IT usage. Journal of Strategic Information Systems, 25(3), 177–210. https://doi.org/10.1016/j.jsis.2016.01.003
Wang, W., Zhao, Y., Qiu, L., and Zhu, Y. (2014). Effects of emoticons on the acceptance of negative feedback in computer-mediated communication. Journal of the Association for Information Systems, 15(8), 454–483. https://doi.org/10.17705/1jais.00370
Wang, N. (Tina), Carte, T. A., and Bisel, R. S. (2020). Negativity decontaminating: Communication media affordances for emotion regulation strategies. Information and Organization, 30(2). https://doi.org/10.1016/j.infoandorg.2020.100299
Willison, R., and Warkentin, M. (2013). Beyond Deterrence: An Expanded View of Employee Computer Abuse. In Source: MIS Quarterly (Vol. 37, Issue 1)
Willison, R., Warkentin, M., and Johnston, A. C. (2018). Examining employee computer abuse intentions: insights from justice, deterrence and neutralisation perspectives. Information Systems Journal, 28(2), 266–293. https://doi.org/10.1111/isj.12129
Zhang, P. (2013). The Affective Response Model: A Theoretical Framework of Affective Concepts and Their Relationships in the ICT Context. In Source: MIS Quarterly (Vol. 37, Issue 1)
Zhao, X., Xia, Q., and Huang, W. (2020). Impact of technostress on productivity from the theoretical perspective of appraisal and coping processes. Information and Management. https://doi.org/10.1016/j.im.2020.103265

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