Individual Adaptation in the Face of Enterprise IT Changes in the Organization
Main Article Content
Keywords
Individual Adaptation, Use, Enterprise IT, Work Tasks, Information Technology Features
Abstract
Individual adaptation plays an important role in using enterprise information technology (IT). In the life cycle of enterprise IT in the organization, various factors can change IT and its related work tasks. Therefore, users have to adapt to these changes. Since the use of information technology depends on the capabilities acquired through individual adaptation behaviours, it is essential to examine these behaviours in more detail. This study presents the factors affecting individual adaptation behaviours as a model. The results of the experimental test of the model show that technology experience and IT knowledge affect an individual’s perception of task difficulty, and personality traits moderate the relationship between task difficulty and individual adaptation behaviours. One of the advantages of the proposed model is separating the roles of managers and users in different periods of enterprise IT adaptation. Also, paying attention to users’ personal characteristics in explaining the differences in adaptation behaviours among employees is another advantage of this model.
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References
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Coulson, T., Olfman, L., Ryan, T., & Shayo, C. (2010). Enterprise Systems Training Strategies: Knowledge Levels and User Understanding. Journal of Organizational and End User Computing (JOEUC), 22(3), 22–39. http://doi.org/10.4018/joeuc.2010070102
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de Vries, R. E. (2013). The 24-item Brief HEXACO Inventory (BHI). Journal of Research in Personality, 47, 871–880. https://doi.org/10.1016/j.jrp.2013.09.003
de Vries, R. E., Wawoe, K. W., & Holtrop, D. (2016). What Is Engagement? Proactivity as the Missing Link in the HEXACO Model of Personality. Journal of personality, 84(2), 178–193. https://doi.org/10.1111/jopy.12150
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Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312
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Giddens, A. (1984). The constitution of society: Outline of the theory of structuration. University of California Press. http://www.communicationcache.com/uploads/1/0/8/8/10887248/the_constitution_of_society.pdf
Griffith, T. L. (1999). Technology Features as Triggers for Sensemaking, Academy of Management Review, 24(3), 472–488. https://doi.org/10.2307/259137
Grgecic, D., Holten, R., & Rosenkranz, C. (2015). The Impact of Functional Affordances and Symbolic Expressions on the Formation of Beliefs. Journal of the Association for Information Systems, 16(7), 580–607. Available at https://aisel.aisnet.org/jais/vol16/iss7/2
Gupta, S., & Bostrom, R. P. (2006). End-user training: What we know, what we need to know? In K. Kaiser & T. Ryan (eds.), Proceedings of the ACM SIGMIS. New York: ACM Press, pp. 172–182. https://doi.org/10.1145/1125170.1125217
Hærem, T., Pentland, B. T., & Miller, K. D. (2015). Task complexity: Extending a core concept. The Academy of Management Review, 40(3), 446–460. https://doi.org/10.5465/amr.2013.0350
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), Sage, Thousand Oaks, CA. Available at https://us.sagepub.com/en-us/nam/a-primer-on-partial-least-squares-structural-equation-modeling-pls-sem/book244583
Hassandoust, F., & Techatassanasoontorn, A. A. (2021). Antecedents of IS infusion behaviours: an integrated IT identity and empowerment perspective. Behaviour & Information Technology, 1–25. https://doi.org/10.1080/0144929X.2021.1928287
Hilbig, B. E., Zettler, I., Leist, F., & Heydasch, T. (2013). It takes two: Honesty-humility and agreeableness differentially predict active versus reactive cooperation. Personality and Individual Differences, 54, 598–603. https://doi.org/10.1016/j.paid.2012.11.008
Hsieh, J. J. P-A., Rai, A., & Xin Xu, S. (2011). Extracting business value from IT: A sensemaking perspective of post-adoptive use. Management Science, 57(11), 2018–2039. https://doi.org/10.1287/mnsc.1110.1398
Huang, J. L., Ryan, A. M., Zabel, K. L., & Palmer, A. (2014). Personality and adaptive performance at work: A meta-analytic investigation. Journal of Applied Psychology, 99(1), 162–179. https://doi.org/10.1037/a0034285
Jasperson, J. S., Carter, P. E., & Zmud, R. W. (2005). A comprehensive conceptualization of post-adoptive behaviours associated with information technology enabled work systems. MIS Quarterly, 29(3), 525–557. https://doi.org/10.2307/25148694
Jeyaraj, A. (2022). A meta-regression of task-technology fit in information systems research. International Journal of Information Management, 65, C. https://doi.org/10.1016/j.ijinfomgt.2022.102493
Li, Y., & Belkin, N. J. (2008). A faceted approach to conceptualizing tasks in information seeking. Information Processing & Management, 44(6), 1822–1837. https://doi.org/10.1016/j.ipm.2008.07.005
Lumor, T. (2019). Factors that influence information technology use during post-implementation: A literature review. In ECIS 2019: Proceedings of the 27th European Conference on Information Systems, Stockholm & Uppsala, Sweden, June 8-14, 2019 (Article 128). Association for Information Systems. Available at https://aisel.aisnet.org/ecis2019_rp/128/
Mateos-Aparicio, G. (2011). Partial least squares (PLS) methods: origins, evolution, and application to social sciences. Communications in Statistics - Theory and Methods, 40(13), 2305–2317. https://doi.org/10.1080/03610921003778225
McAfee, A. (2006). Mastering the three worlds of information technology. Harvard Business Review. Available at https://hbr.org/2006/11/mastering-the-three-worlds-of-information-technology
Mingers, J., & Standing, C. (2020). A Framework for Validating Information Systems Research Based on a Pluralist Account of Truth and Correctness. Journal of the Association for Information Systems, 21(1), Article 6. Available at https://aisel.aisnet.org/jais/vol21/iss1/6
Olfman, L., Bostrom, R. P. and Sein, M. K. (2006). Developing Training Strategies with an HCI Perspective. In P. Zhang & D. Galletta (Eds.), Handbook of Human-Computer Interaction and Management Information Systems - Applications. Armonk, NY: M. E. Sharpe, pp. 258–283. https://doi.org/10.4324/9781315703626
Parkes, A. )2017(. The effect of individual and task characteristics on decision aid reliance. Behaviour & Information Technology, 36)2(,165–177. https://doi.org/10.1080/0144929X.2016.1209242
Rausch, A. (2013). Task characteristics and learning potentials – empirical results of three diary studies on workplace learning. Vocations and Learning, 6(1), 55–79. https://doi.org/10.1007/s12186-012-9086-9
Rezvani, A., Dong, L., & Khosravi, P. (2017). Promoting the continuing usage of strategic information systems: The role of supervisory leadership in the successful implementation of enterprise systems. International Journal of Information Management, 37(5), 417–430. https://doi.org/10.1016/j.ijinfomgt.2017.04.008
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Published
Mar 31, 2023
Article Details
How to Cite
Hanafizadeh, P., Taherianfar, A., & Alami Neisi, M. (2023). Individual Adaptation in the Face of Enterprise IT Changes in the Organization. Journal of Telecommunications and the Digital Economy, 11(1), 57–90. https://doi.org/10.18080/jtde.v11n1.663
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Digital Economy & Society
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Author Biography
Payam Hanafizadeh, Allameh Tabataba'i University
Payam Hanafizadeh is an Associate Professor of Information Systems and Decision Sciences at Allameh Tabataba'i University (formerly Tehran College of Commerce, est.1958), Tehran, Iran. He has held various visiting positions at the University of Waterloo, University of Canberra, Chalmers University of Tech., Masaryk University and Universidad Autónoma de Madrid. He received his BSc., MSc and PhD all in Industrial Engineering and pursues his research in the areas of digital business models/economy and decision sciences. Payam is currently Co-Editor of Digital Business published by Elsevier and Section Editor of Journal of Telecommunications and Digital Economy (Q2 ranked, published by Telecom Association of Australia- TelSco). He was formerly the Editor-in-Chief of International Journal of E-Business Research (2015-2018). He has also published over 85 articles for leading journals such as: Internet Research, The Information Society, International Journal of Information Management, Electronic Commerce Research, Energy Policy, Electronic Markets, Telecommunications Policy, Expert Systems with Applications, Systemic Practice and Action Research, Mathematical and Computer Modelling, Management Decisions and Telematics and Informatics to name only a few. Dr. Hanafizadeh is the co-author of Online Advertising and Promotion published by IGI Global. He has (co-)authored several other successful books in Persian. He is currently among the editorial members for Telecommunication Policy (Elsevier), Social Sciences & Humanities Open (Elsevier), Journal of Information Technology Research, and International Advisory of Int. J. of Health Information Systems and Informatics. Dr. Hanafizadeh received the Research Excellence Award in Iran in 2019 designated by Ministry of Science, Research and Technology. In addition to his academic position, he has also consulted for several major public and private organizations particularly banking sector.
