[
Abubakre, M., Zhou, Y., & Zhou, Z. (2022). The impact of information technology culture and personal innovativeness in information technology on digital entrepreneurship success. Information Technology and People, 35(1), 204–231. https://doi.org/10.1108/ITP-01-2020-0002
]Search in Google Scholar
[
Avgerinos, E., & Gokpinar, B. (2018). Task Variety in Professional Service Work: When It Helps and When It Hurts. Production and Operations Management, 27(7), 1368–1389. https://doi.org/10.1111/poms.12874
]Search in Google Scholar
[
Benlian, A. (2015). It feature use over time and its impact on individual task performance. Journal of the Association for Information Systems, 16(3), 144–173. https://doi.org/10.17705/1jais.00391
]Search in Google Scholar
[
Chang, J. W., Huang, D. W., & Choi, J. N. (2012). Is task autonomy beneficial for creativity? prior task experience and self-control as boundary conditions. Social Behavior and Personality, 40(5), 705–724. https://doi.org/10.2224/sbp.2012.40.5.705
]Search in Google Scholar
[
Cohen, J. (1988). Statistical Power Analysis for behavioral science, Second edition (Second Edi). New York: Lawrence Erlbaum Associates.
]Search in Google Scholar
[
Collis, J., & Hussey, R. (2014). Business Research 4th edition : (Third edit). Hampshire: Palgrave Macmillan Higher Education.
]Search in Google Scholar
[
de Vargas Pinto, A., Beerepoot, I., & Maçada, A. C. G. (2022). Encourage autonomy to increase individual work performance: the impact of job characteristics on workaround behavior and shadow IT usage. Information Technology and Management, (0123456789). https://doi.org/10.1007/s10799-022-00368-6
]Search in Google Scholar
[
De Vargas Pinto, A., Carlos, A., & Maçada, G. (2020). The Mediating Role of Workaround Behavior and the Shadow IT Usage in the Relationship between Job Characteristics and Individual Performance. Scope and Focus, 25(1), 24–37.
]Search in Google Scholar
[
Deng, X., Doll, W. J., & Truong, D. (2004). Computer self-efficacy in an ongoing use context. Behaviour and Information Technology, 23(6), 395–412. https://doi.org/10.1080/01449290410001723454
]Search in Google Scholar
[
Đorđević Milutinović, L., Raković, L., & Antić, S. (2023). Characteristics of Spreadsheet-Based Shadow IT in Serbian Companies. Lecture Notes in Networks and Systems, 562 LNNS, 148–171. https://doi.org/10.1007/978-3-031-18645-5_10
]Search in Google Scholar
[
Gallivan, M. J., Spitler, V. K., & Koufaris, M. (2005). Does information technology training really matter? A social information processing analysis of coworkers’ influence on IT usage in the workplace. Journal of Management Information Systems, 22(1), 153–192. https://doi.org/10.1080/07421222.2003.11045830
]Search in Google Scholar
[
Garland, K. J., & Noyes, J. M. (2004). Computer experience: A poor predictor of computer attitudes. Computers in Human Behavior, 20(6), 823–840. https://doi.org/10.1016/j.chb.2003.11.010
]Search in Google Scholar
[
Haag, S, & Eckhardt, A. (2014). Normalizing the Shadows: The Role of Symbolic Models for Individuals’ Shadow IT Usage. ICIS - International Conference on Information Systems Proceedings.
]Search in Google Scholar
[
Haag, Steffi, Eckhardt, A., & Bozoyan, C. (2015). Are shadow system users the better IS users?-Insights of a lab experiment. 2015 International Conference on Information Systems: Exploring the Information Frontier, ICIS 2015, 1–20.
]Search in Google Scholar
[
Hofmans, J., Gelens, J., & Theuns, P. (2014). Enjoyment as a mediator in the relationship between task characteristics and work effort: An experience sampling study. European Journal of Work and Organizational Psychology, 23(5), 693–705. https://doi.org/10.1080/1359432X.2013.792229
]Search in Google Scholar
[
Jiang, Z., Di Milia, L., Jiang, Y., & Jiang, X. (2020). Thriving at work: A mentoring-moderated process linking task identity and autonomy to job satisfaction. Journal of Vocational Behavior, 118(December 2018), 103373. https://doi.org/10.1016/j.jvb.2019.103373
]Search in Google Scholar
[
Johari, J., & Yahya, K. K. (2009). Linking Organizational Structure, Job Characteristics, and Job Performance Constructs: a Proposed Framework. International Journal of Business and Management, 4(3), 145–152. https://doi.org/10.5539/ijbm.v4n3p145
]Search in Google Scholar
[
Joseph F. Hair, J., Hult, G. T. M., Ringle, C. M., & Marko Sarstedt. (2017). A primer on partial least squares structural equation modeling (PLS-SEM). In Sage Publication, Inc (2nd ed.). https://doi.org/10.1080/1743727x.2015.1005806
]Search in Google Scholar
[
Kahn, H., & Robertson, I. T. (1992). Training and experience as predictors of job satisfaction and work motivation when using computers: a correlational study. Behaviour and Information Technology, 11(1), 53–60. https://doi.org/10.1080/01449299208924319
]Search in Google Scholar
[
Kahya, E. (2007). The effects of job characteristics and working conditions on job performance. International Journal of Industrial Ergonomics, 37(6), 515–523. https://doi.org/10.1016/j.ergon.2007.02.006
]Search in Google Scholar
[
Karimikia, H., Singh, H., & Joseph, D. (2021). Negative outcomes of ICT use at work: meta-analytic evidence and the role of job autonomy. Internet Research, 31(1), 159–190. https://doi.org/10.1108/INTR-09-2019-0385
]Search in Google Scholar
[
Karsten, R., & Roth, R. (1998). The relationship of computer experience and computer self—efficacy to performance in introductory computer literacy courses. Journal of Research on Computing in Education, 31(1), 14–24. https://doi.org/10.1080/08886504.1998.10782238
]Search in Google Scholar
[
Kopper, A. (2017). Perceptions of IT managers on shadow IT. AMCIS 2017 - America’s Conference on Information Systems: A Tradition of Innovation, 2017-Augus(August).
]Search in Google Scholar
[
Krishnan, R., Ismail, S., Ismail, I., Muhammed, R. N., Muthusamy, G., & Kanchymalay, K. (2015). Employee Work Engagement: Understanding the Role of Job Characteristics and Employee Characteristics. J. Appl. Environ. Biol. Sci, 4(10S), 58–67. Retrieved from www.textroad.com
]Search in Google Scholar
[
Levy, Y., & Ellis, T. J. (2006). A systems approach to conduct an effective literature review in support of information systems research. Informing Science, 9, 181–211. https://doi.org/10.28945/479
]Search in Google Scholar
[
Liu, S., & Wang, L. (2014). User liaisons’ perspective on behavior and outcome control in IT projects: Role of IT experience, behavior observability, and outcome measurability. Management Decision, 52(6), 1148–1173. https://doi.org/10.1108/MD-08-2013-0430
]Search in Google Scholar
[
Mallmann, G. L., & Maçada, A. C. G. (2016). Behavioral drivers behind Shadow IT and its outcomes in terms of individual performance. AMCIS 2016: Surfing the IT Innovation Wave - 22nd Americas Conference on Information Systems, 1–5.
]Search in Google Scholar
[
Marler, J. H., & Dulebohn, J. H. (2015). A Model of Employee Self-Service Technology Acceptance. Research in Personnel and Human Resources Management, 34, 137–189. https://doi.org/dx.doi.org/10.1108/08876040510591411
]Search in Google Scholar
[
Moon, H., Hollenbeck, J. R., Humphrey, S. E., Ilgen, D. R., West, B., Ellis, A. P. J., & Porter, C. O. L. H. (2004). Asymmetric Adaptability: Dynamic Team Structures as One-Way Streets. Academy of Management Journal, 47(5), 681–695. https://doi.org/10.5465/20159611
]Search in Google Scholar
[
Orr, S. G., Bonyadi, C. J., Golaszewski, E., Sherman, A. T., Peterson, P. A. H., Forno, R., … Rodriguez, J. (2022). Shadow IT in higher education: survey and case study for cybersecurity. Cryptologia, 1–65. https://doi.org/10.1080/01611194.2022.2103754
]Search in Google Scholar
[
Rakovic, L., Duc, T. A., & Vukovic, V. (2020). Shadow it and ERP: Multiple case study in German and Serbian companies. Journal of East European Management Studies, 25(4), 730–752. https://doi.org/10.5771/0949-6181-2020-4-730
]Search in Google Scholar
[
Raković, L., Sakal, M., Dakić, S., & Đurković, J. (2022). Spreadsheets: risk from the shadow. International Journal of Business Information Systems, 41(1), 1–19. https://doi.org/10.1504/ijbis.2022.126027
]Search in Google Scholar
[
Raković, L., Sakal, M., Matković, P., & Marić, M. (2020). Shadow it – A systematic literature review. Information Technology and Control, 49(1), 144–160. https://doi.org/10.5755/j01.itc.49.1.23801
]Search in Google Scholar
[
Saunders, Mark; Lewis, Philip; Thornhill, A. (2019). Research Methods for Business Students (Eighth edi). Retrieved from https://www.amazon.com/Research-Methods-for-Business-Students/dp/1292208783/ref=sr_1_2?dchild=1&-qid=1614706531&refinements=p_27%3AAdrian+Thornhill+%2F+Philip+Lewis+%2F+Mark+N.+K.+-Saunders&s=books&sr=1-2&text=Adrian+Thornhill+%2F+Philip+Lewis+%2F+Mark+N.+K
]Search in Google Scholar
[
Scalabrin Bianchi, I., Vaquina, A., Pereira, R., Dinis Sousa, R., & Dávila, G. A. (2022). A Benefit Dependency Network for Shadow Information Technology Adoption, Based on Practitioners’ Viewpoints. Informatics, 9(4). https://doi.org/10.3390/informatics9040095
]Search in Google Scholar
[
Sekaran, U., & Bougie, R. (2016). Research Methods for Business: A Skill-Building Approach. In John Wiley & Sons Ltd (Vol. 34). https://doi.org/10.1108/lodj-06-2013-0079
]Search in Google Scholar
[
Silic, M., Barlow, J. B., & Back, A. (2017). A new perspective on neutralization and deterrence: Predicting shadow IT usage. Information and Management, 54(8), 1023–1037. https://doi.org/10.1016/j.im.2017.02.007
]Search in Google Scholar
[
Silic, M., Silic, D., & Oblakovic, G. (2016). Influence of Shadow IT on Innovation in Organizations. Complex Systems Informatics and Modeling Quarterly, (8), 68–80. https://doi.org/10.7250/csimq.2016-8.06
]Search in Google Scholar
[
Taylor, S., & Todd, P. (1995). Assessing IT usage: The role of prior experience. MIS Quarterly: Management Information Systems, 19(4), 561–568. https://doi.org/10.2307/249633
]Search in Google Scholar
[
Thomas, K. E., Newstead, S. E., & Handley, S. J. (2003). Exploring the time prediction process: The effects of task experience and complexity on prediction accuracy. Applied Cognitive Psychology, 17(6), 655–673. https://doi.org/10.1002/acp.893
]Search in Google Scholar
[
Thompson, R. L., Higgins, C. A., & Howell, J. M. (1994). Influence of experience on personal computer utilization: Testing a conceptual model. Journal of Management Information Systems, 11(1), 167–187. https://doi.org/10.1080/07421222.1994.11518035
]Search in Google Scholar
[
Vaezi, R., Mills, A., Chin, W., & Zafar, H. (2016). User satisfaction research in information systems: Historical roots and approaches. Communications of the Association for Information Systems, 38(1), 501–532. https://doi.org/10.17705/1CAIS.03827
]Search in Google Scholar
[
Venkatesh, V., Bala, H., & Sykes, T. A. (2010). Impacts of information and communication technology implementations on employees’ jobs in service organizations in India: A multi-method longitudinal field study. Production and Operations Management, 19(5), 591–613. https://doi.org/10.1111/j.1937-5956.2010.01148.x
]Search in Google Scholar
[
Wang, B., Liu, Y., & Parker, S. K. (2020). How Does the Use of Information Communication Technology Affect Individuals? Work Design Perspective. Academy of Management Annals, 695–725.
]Search in Google Scholar
[
Weiß, F., & Leimeister, J. M. (2012). Consumerization: IT innovations from the consumer market as a challenge for corporate IT. Business and Information Systems Engineering, 4(6), 363–366. https://doi.org/10.1007/s12599-012-0234-4
]Search in Google Scholar
[
Zhou, Z., Li, G., & Lam, T. (2009). The role of task-fit in employees’ adoption of IT in Chinese hotels. Journal of Human Resources in Hospitality and Tourism, 8(1), 96–105. https://doi.org/10.1080/15332840802274478
]Search in Google Scholar
, 