IT Consumerization Actual Use: Conceptual Model Development

Volume 4, Issue 2, April 2020     |     PP. 23-42      |     PDF (292 K)    |     Pub. Date: September 25, 2020
DOI:    196 Downloads     5571 Views  

Author(s)

Lorraine Lamb, DXC Technology, Atlanta, USA
Pamila Dembla, Information Systems, Kennesaw State University, Atlanta, USA

Abstract
At a time when technology “As a Service” is common place for delivering information system solutions and in particular workplace mobility services, IT Consumerization has become a staple within the large enterprise workplace services portfolio. Having a conceptual design to extend and grow our knowledge about the phenomenon is a critical prerequisite for both academic and business persons alike. The purpose of this paper is twofold. First and in a very broad sense, this paper provides new researchers with mindfulness toward applying existing historical theory within their own research discipline toward their phenomenon of interest, and thereby fine-tune the conceptual model to the current challenges apropos for today’s industry and academic fields. Secondly, this paper takes a deeper dive into the phenomenon of actual use of IT Consumerization services in today’s business world providing steps to practitioners who are seeking to enable change and learning in a corporate setting through the use of mobility workplace services. The following conceptual model integrates one of the theoretical frameworks instinctive to the information system stream of research where actual use behaviors are at the forefront. In having a quality conceptual model, we as researchers will then find ourselves in a position to grow a sound foundation for future research.

Keywords
IT Consumerization, Actual Use, Theory of Planned Action, Mobility, Workplace Services

Cite this paper
Lorraine Lamb, Pamila Dembla, IT Consumerization Actual Use: Conceptual Model Development , SCIREA Journal of Information Science and Systems Science. Volume 4, Issue 2, April 2020 | PP. 23-42.

References

[ 1 ] Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2), 204-215.
[ 2 ] Ahuja, M. K., & Thatcher, J. B. (2005). Moving beyond intentions and toward the theory of trying: effects of work environment and gender on post-adoption information technology use. Management Information Systems Quarterly, 29(3), 427-459.
[ 3 ] Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. Springer Berlin Heidelber.
[ 4 ] Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.
[ 5 ] Benbasat, I., & Barki, H. (2007). Quo vadis, TAM? Journal of the Association for Information Systems, 8(4).
[ 6 ] Brancheau, J. C., & Wetherbe, J. C. (1990). The adoption of spreadsheet software: testing innovation diffusion theory in the context of end-user computing. Information Systems Research, 1(2), 115-143.
[ 7 ] Burton-Jones, A., & Gallivan, M. J. (2007). Toward a deeper understanding of system usage in organizations: a multilevel perspective. Management Information Systems Quarterly, 31(4), 657-679.
[ 8 ] Burton-Jones, A., & Straub Jr, D. W. (2006). Reconceptualizing system usage: An approach and empirical test. Information Systems Research, 17(3), 228-246.
[ 9 ] Choi, H., Kim, Y., & Kim, J. (2011). Driving factors of post adoption behavior in mobile data services. Journal of Business Research, 64, 1212-1217.
[ 10 ] Dernbecher, S., Beck, R., & Weber, S. (2013). Switch to your own to work with the known: An empirical study on consumerization of IT. Proceedings of the Nineteenth Americas Conference on Information Systems, Chicago, Illinois.
[ 11 ] Ellis, L., Saret, J., & Weed, P. (2012). BYOD: From company-issued to employee owned devices. McKinsey and Company: Telecommunications, Media, and Technology Practice, No. 20.
[ 12 ] Frambach, R. T., & Schillewaert, N. (2002). Organizational innovation adoption: A multi-level framework of determinants and opportunities for future research. Journal of Business Research, 55(2), 163-176.
[ 13 ] Giessmann, A., & Stanoevska-Slabeva, K. (2012). Business models of platform as a service (PaaS) providers: current state and future directions. Journal of Information Technology Theory and Application, 13(4), 31.
[ 14 ] Harris, M., Patten, K., Regan, E., & Fjermestad, J. (2012). Mobile and connected device security considerations: A dilemma for small and medium enterprise business mobility? Proceedings of the Eighteenth Americas Conference on Information Systems, Seattle, Washington.
[ 15 ] Hong, S. J., & Tam, K. Y. (2006). Understanding the adoption of multipurpose information appliances: The case of mobile data services. Information systems research, 17(2), 162-179.
[ 16 ] Hsieh, J.J., & Wang, W., (2007). Explaining employees’ extended use of complex information systems. European Journal of Information Systems, 16, 216–227.
[ 17 ] Hung, S. Y., Ku, C. Y., & Chang, C. M. (2003). Critical factors of WAP services adoption: an empirical study. Electronic Commerce Research and Applications, 2(1), 42-60.
[ 18 ] Kleijnen, M., Wetzels, M., & de Ruyter, K. (2004). Consumer acceptance of wireless finance. Journal of Financial Services Marketing, 8(3), 206-217.
[ 19 ] Kohlmeyer III, J. M., & Blanton, J. E. (2000). Improving IS service quality. Journal of Information Technology Theory and Application, 2(1), 3.
[ 20 ] Lamb, R., & Kling, R. (2003). Reconceptualizing users as social actors in information systems research. Management Information Systems Quarterly, 27(2) 197-236.
[ 21 ] Lebek, B., Degirmenci, K., & Breitner, M. H. (2013). Investigating the Influence of Security, Privacy, and Legal Concerns on Employees' Intention to Use BYOD Mobile Devices, in Proceedings of the 19th Americas Conference on Information Systems, Chicago.
[ 22 ] Loose, M., Weeger, A., & Gewald, H. (2013). BYOD –the next big thing in recruiting? Examining the determinants of BYOD service adoption behavior from the perspective of future employees, in Proceedings of the 19th Americas Conference on Information Systems, Chicago.
[ 23 ] Luarn, P., & Lin, H. H. (2005). Toward an understanding of the behavioral intention to use mobile banking. Computers in Human Behavior, 21(6), 873-891.
[ 24 ] Manfredo, M. J., & Shelby, B. (1988). The effect of using self-report measures in tests of attitude—behavior relationships. The Journal of Social Psychology, 128(6), 731-743.
[ 25 ] Marcolin, B. L., Compeau, D., Munro, M. C. and Huff, S. L. (2001) Assessing user competence: Conceptualization and measurement. Information Systems Research, 11(1), 37–60.
[ 26 ] Mathieson, K. (1991). Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173-191.
[ 27 ] Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192-222.
[ 28 ] Morris, M. G., & Venkatesh, V. (2000). Age differences in technology adoption decisions: Implications for a changing work force. Personnel psychology, 53(2), 375-403.
[ 29 ] Niehaves, B., Koeffer, S., & Ortbach, K. (2012). IT consumerization–A theory and practice review, in Proceedings of the Eighteenth Americas Conference on Information Systems, Seattle, Washington.
[ 30 ] Nysveen, H., Pedersen, P. E., Thorbjørnsen, H., & Berthon, P. (2005). Mobilizing the brand: The effects of mobile services on brand relationships and main channel use. Journal of Service Research, 7(3), 257-276.
[ 31 ] Orlikowski, W. J., & Iacono, C. S. (2001). Research commentary: Desperately seeking the “IT” in IT research: A call to theorizing the IT artifact. Information Systems Research, 12(2), 121-134.
[ 32 ] Ortbach, K., Bode, M., & Niehaves, B. (2013a). What influences technological individualization?–An analysis of antecedents to IT consumerization behavior, in Proceedings of the 19th Americas Conference on Information Systems, Chicago.
[ 33 ] Ortbach, K., Köffer, S., Bode, M., & Niehaves, B. (2013b). Individualization of information systems-analyzing antecedents of IT consumerization behavior, in Proceedings of the 34th International Conference on Information Systems, Milan.
[ 34 ] Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1995). Moving forward in service quality research: measuring different customer-expectation levels, comparing alternative scales, and examining the performance-behavioral intentions link.  Report-Marketing Science Institute Cambridge, Massachusetts, 41-42.
[ 35 ] Pihlstom, Minna (2007) Committed to content provider or mobile channel? Determinants of continuous mobile multimedia service use. Journal of Information Technology Theory and Application, 9(1), 1-23.
[ 36 ] Sharma, R., Yetton, P., & Crawford, J. (2004). Re-Evaluating evidences from technology acceptance model research: Estimating the effect of common method bias on the perceived usefulness-use relationship. Diffusion of Innovations Group in Information Technology (DIGIT/SIGADIT), Washington, DC.
[ 37 ] Singh, N. (2012). BYOD genie is out of the bottle–“Devil or angel”. Journal of Business Management & Social Sciences Research, 1(3), 1-12.
[ 38 ] Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144-176.
[ 39 ] Urbach, N., & Ahlemann, F. (2010). Structural equation modeling in information systems research using partial least squares. Journal of Information Technology Theory and Application, 11(2), 5-40.
[ 40 ] Wang, Y. S., Lin, H. H., & Luarn, P. (2006). Predicting consumer intention to use mobile service. Information Systems Journal, 16(2), 157-179.
[ 41 ] Wu, P. F., (2012). A mixed methods approach to technology acceptance research. Journal of the Association for Information Systems 13(3), 172-187.
[ 42 ] Wu, J., & Wang, S. (2005). What drives mobile commerce? An empirical evaluation of the revised technology acceptance model. Information and Management, 42, 719-729.
[ 43 ] Xu, J. D., Benbasat, I., & Cenfetelli, R. T. (2013). Integrating service quality with system and information quality: An empirical test in the e-service context. Management Information Systems Quarterly, 37(3) 777-794.