Abstract
Enterprises are adopting mobile technologies to increase their operational efficiency. They provide employees with greater access to real-time information that improves responsiveness and competitiveness. The adoption of mobile technologies has given rise to the Consumerization of information technology (CoIT) phenomenon. Consequently, with ubiquity of mobile devices, individuals are concerned about privacy and organization are worried over data security issues. Mobile Device Management (MDM) adoption in organizations is hence, perceived a necessity. However, the effects of mobile technologies, Consumerization, and MDM adoption on employees remains a pertinent question. A review of the literature revealed an apparent gap in the research on the role of MDM adoption in employee engagement and task performance. This paper identifies the possible relationships and interactions between these critical constructs. The results of Partial Least Squares - Structural Equation Modeling (PLS – SEM) indicate some key implications for research. Previously unexplored, CoIT construct has been conceptualized as a ‘habit’, shows positive influences on MDM adoption, corroborating extant literature. Also, hitherto unreported, MDM adoption positively affects employee engagement and task performance, a potential incentive for organizations to implement MDM solutions. Mediation results show effects of MDM adoption between CoIT and employee engagement apart from corroborating earlier reported relationships between employee engagement and task performance. The managerial implications show the positive role of MDM adoption on employee engagement and task performance in the context of CoIT.
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References
Unhelkar, B., Murugesan, S.: The enterprise mobile applications development framework. IT Prof. 12(3), 33–39 (2010)
Meske, C., Stieglitz, S., Brockmann, T., Ross, B.: Impact of mobile IT consumerization on organizations – an empirical study on the adoption of BYOD practices. In: Nah, F.F.-H., Tan, C.-H. (eds.) HCIBGO 2017. LNCS, vol. 10294, pp. 349–363. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-58484-3_27
Ortbach, K., Köffer, S., Bode, M., Niehaves, B.: Individualization of information systems—analyzing antecedents of IT consumerization behavior. In: Proceedings of the International Conference on Information Systems (ICIS), Milano, ITA, pp. 1–18(2013)
Ortbach, K., Brockmann, T., Stieglitz S.: Drives for the adoption of mobile device management in the organization. In: Proceedings of the Twenty-Second European conference on Information Systems, Tel Aviv, Israel, 9–14 July 2014, pp. 1–18. AISeL (2014)
Stieglitz, S., Brockmann, T.: Increasing organizational performance by transforming into a mobile enterprise. MIS Q. Execut. 11(4), 189–204 (2012)
Harris, A.M., Patten, K.P.: Mobile device security considerations for small- and-medium-sized enterprise business mobility. Inf. Manag. Comput. Secur. 22(1), 97–114 (2014)
Moschella, D., Neal, D., Opperman, P., Taylor, J.: The “consumerization” of information technology. In: The Leading-Edge Forum, El Segundo, CA, USA (2004)
Chung, S., Lee, K.Y., Choi, J.: Exploring digital creativity in the workspace: the role of enterprise mobile applications on perceived job performance and creativity. Comput. Hum. Behav. 42, 93–109 (2015)
Van Cleeff, A.: Future consumer mobile phone security: a case study using the data-centric security model. Inf. Secur. Tech. Rep. 13(3), 112–117 (2008)
Niehaves, B., Köffer, S., Ortbach, K.: The effect of private IT use on work performance—towards an IT consumerization theory. In: Proceedings of the 18th Americas conference on information systems (AMSIS), paper 18, Seattle, Washington, USA (2012)
Köffer, S., Ortbach, K., Niehaves, B.: Exploring the relationship between IT consumerization and job performance: a theoretical framework for future research. Commun. Assoc. Inf. Syst. 35(1), 261–283 (2014)
Niehaves, B., Köffer, S., Ortbach, K., Reimler, S.: Boon and bane of IT consumerization: the burnout–engagement continuum. In: Proceedings of the Nineteenth Americas Conference on Information Systems (AMSIS), Chicago, Illinois, pp. 1–9 (2013)
Kahn, W.A.: Psychological conditions of personal engagement and disengagement at work. Acad. Manag. J. 33, 692–724 (1990)
Kahn, W.A.: To be full there: psychological presence at work. Hum. Relat. 45, 321–349 (1992)
Saks, A.M.: Antecedents and consequences of employee engagement. J. Manag. Psychol. 21, 600–619 (2006)
Schaufeli, W.B., Salanova, M.: Enhancing work engagement through the management of human resources. In: Näswall, K., Hellgren, J., Sverke, M. (eds.) The Individual in the Changing Working Life, pp. 380–402. Cambridge University Press, New York (2008)
Macey, W.H., Schneider, B.: The meaning of employee engagement. Ind. Organ. Psychol. 1, 3–30 (2008)
Macey, W.H., Schneider, B., Barbera, K.M., Young, S.A.: Employee Engagement: Tools for Analysis, Practice, And Competitive Advantage. Wiley-Blackwell, Malden (2009)
Rich, B.L., Lepine, J.A., Crawford, E.R.: Job engagement: antecedents and effects on job performance. Acad. Manag. J. 53(3), 617–635 (2010)
O’Connor, E.P., Crowley-Henry, M.: Exploring the relationship between exclusive talent management, perceived organizational JUSTICE and employee engagement: bridging the literature. J. Bus. Ethics 156(4), 903–917 (2019)
Roof, R.A.: The association of individual spirituality on employee engagement: the spirit at work. J. Bus. Ethics 130(3), 585–599 (2015)
Gruman, J.A., Saks, A.M.: Performance management and employee engagement. Hum. Resour. Manag. Rev. 21(2), 123–136 (2011)
Weber, L., Rudman, R.J.: Addressing the incremental risks associated with adopting bring your own device. J. Econ. Financ. Sci. 11(1), 169–182 (2018)
Dernbecher, S., Beck, R., Weber, S.: Switch to your own to work with the known: an empirical study on consumerization of IT. In: Proceedings of the nineteenth Americas conference on information systems, Chicago, pp. 1–10 (2013)
Ruch, T.J., Gregory, R.W.: Consumerization of IT—where is the theory? In: PACIS 2014 proceedings, Chengdu, China, pp. 139–144 (2014)
Kim, S.S.: The integrative framework of technology use: an extension and test. MIS Q. 33(3), 513–537 (2009)
Albercht, S.L., Bakker, A.B., Gruman, J.A., Macey, W.H., Saks, A.M.: Employee engagement, human resource management practices and competitive advantage: an integrated approach. J. Organ. Effect.: People Perform. 2, 7–35 (2015)
Turner P.: The organisation of work and employee engagement. In: Employee Engagement in Contemporary Organizations. Palgrave Macmillan, Cham (2020)
Murphy, K.R., De Shon, R.: Interrater correlations do not estimate the reliability of job performance ratings. Pers. Psychol. 53, 873–900 (2000)
Motowidlo, S.J., Borman, W.C., Schmit, M.J.: A theory of individual differences in task and contextual performance. Hum. Perform. 10(2), 71–83 (1997)
Murray, A., Papa, A., Cuozzo, B., Russo, G.: Evaluating the innovation of the internet of things: empirical evidence from the intellectual capital assessment. Bus. Process Manag. J. 22(2), 341–356 (2016)
Leslie, L.M., Manchester, C.F., Park, T.Y., Mehng, S.A.: Flexible work practices: a source of career premiums or penalties? Acad. Manag. J. 55(6), 1407–1428 (2012)
McElroy, J.C., Morrow, P.C.: Employee reactions to office redesign: a naturally occurring quasi-field experiment in a multi-generational setting. Hum. Relat. 63(5), 609–636 (2010)
Gajendran, R.S., Harrison, D.A., Delaney-Klinger, K.: Are telecommuters remotely good citizens? Unpacking telecommuting’s effects on performance via I-deals and job resources. Pers. Psychol. 68, 353–393 (2015)
Rhee, K., Jeon, W., Won, D.: Security requirements of a mobile device management system. Int. J. Secur. Appl. 6(2), 353–358 (2012)
Del Giudice, M.: Discovering the internet of things (IoT): technology and business process management, inside and outside the innovative firms. Bus. Process Manag. J. 22(2), 263–270 (2016)
Kim, Y.H., Kim, D.J., Wachter, K.: A study of mobile user engagement (MoEN): engagement motivations, perceived value, satisfaction, and continued engagement intention. Decis. Support Syst. 56, 361–370 (2013)
Gebauer, J., Shaw, M.J., Gribbins, M.L.: Task–technology fit for mobile information systems. J. Inf. Technol. 25(3), 259–272 (2010)
Vrontis, D., Thrassou, A., Santoro, G., Papa, A.: Ambidexterity, external knowledge and performance in knowledge-intensive firms. J. Technol. Transf. 42(2), 374–388 (2016). https://doi.org/10.1007/s10961-016-9502-7
Choudhary, P., Mital, M., Pani, A.K., Papa, A., Vicentini, F.: Impact of enterprise mobile system implementation on organizational ambidexterity mediated through BPM customizability. Bus. Process Manag. J. 24(5), 1235–1254 (2018)
Ryans, A.B.: Estimating consumer preferences for a new durable brand in an established product class. J. Mark. Res. 11, 434–443 (1974)
Podsakoff, P.M., MacKenzie, S.B., Lee, J.Y., Podsakoff, N.P.: Common method biases in behavioral research: a critical review of the literature and recommended remedies. J. Appl. Psychol. 88(5), 879–903 (2003)
Zhou, T., Lu, Y., Wang, B.: Integrating TTF and UTAUT to explain mobile banking user adoption. Comput. Hum. Behav. 26(4), 760–767 (2010)
Rothbard, N.P.: enriching or depleting? The dynamics of engagement in work and family roles. Adm. Sci. Q. 46(4), 655–684 (2001)
Gerbing, D.W., Anderson, J.C.: An updated paradigm for scale development incorporating uni-dimensionality and its assessment. J. Mark. Res. 25(2), 186–192 (1988)
Henseler, J., Ringle, C.M., Sarstedt, M.: A new criterion for assessing discriminant validity in variance-based structural equation modeling. J. Acad. Mark. Sci. 43(1), 115–135 (2014). https://doi.org/10.1007/s11747-014-0403-8
Campbell, D.T., Fiske, D.W.: Convergent and discriminant validation by the multitrait–multimethod matrix. Psychol. Bull. 56(2), 81–105 (1959)
Bagozzi, R.P., Yi, Y.: On the evaluation of structural equation models. J. Acad. Mark. Sci. 16(1), 74–94 (1988)
Ringle, C.M., Wende, S., Becker, J.-M.: SmartPLS 3. Bönningstedt: SmartPLS (2015). http://www.smartpls.com
Chin, W.W., Marcolin, B.L., Newsted, P.R.: A partial least squares latent variable modeling approach for measuring interaction effects: results from a Monte-Carlo simulation study and an electronic-mail motion/adoption study. Inf. Syst. Res. 14(2), 189–217 (2003)
Hair, J.F., Ringle, C.M., Sarstedt, M.: PLS-SEM: indeed, a silver bullet. J. Mark. Theory Pract. 19(2), 139–152 (2011)
ter Hoeven, C.L., van Zoonen, W., Fonner, K.L.: The practical paradox of technology: the influence of communication technology use on employee burnout and engagement. Commun. Monogr. 83(2), 239–263 (2016)
Doargajudhur, M.S., Dell, P.: Impact of BYOD on organizational commitment: an empirical investigation. Inf. Technol. People (2018). https://doi.org/10.1108/ITP-11-2017-0378
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Pani, A.K., Choudhary, P.K., Routray, S., Pani, M.R. (2020). Effects of MDM Adoption on Employee in the Context of Consumerization of IT. In: Sharma, S.K., Dwivedi, Y.K., Metri, B., Rana, N.P. (eds) Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation. TDIT 2020. IFIP Advances in Information and Communication Technology, vol 618. Springer, Cham. https://doi.org/10.1007/978-3-030-64861-9_6
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