Impact of Mobile IT Consumerization on Organizations - An Empirical Study on the Adoption of BYOD Practices

The last few years have seen more and more employees using their personal mobile devices for work-related tasks. This phenomenon is part of a broader trend known as IT consumerization. Enterprises and employees have recognized that they might profit from these developments and implemented “Bring Your Own Device” (BYOD) policies, but they also have to face new challenges. This study investigates which types of employees adopt BYOD and how they benefit from it. To address these questions, the authors conducted a survey with 219 participants. Participants were classified into adopter types based on the Diffusion of Innovation Theory. The results indicate that early adopters and the early majority use their personal smartphones more often for work-related tasks than laggards, and that innovators and early adopters more often receive work-related email on their personal smartphones than other adopter types. It is concluded that DOI can successfully be applied to explain BYOD adoption behavior. Differentiated management strategies have to be applied in order to address the whole workforce.

[1]  Sue A. Conger,et al.  INNOVATIONS : A CLASSIFICATION BY IT LOCUS OF IMPACT AND RESEARCH APPROACH , 2002 .

[2]  Björn Niehaves,et al.  Exploring the Relationship between IT Consumerization and Job Performance: A Theoretical Framework for Future Research , 2014, Commun. Assoc. Inf. Syst..

[3]  Mary Tate,et al.  Motivations For BYOD: An Investigation Of The Contents Of A 21st Century School Bag , 2013, ECIS.

[4]  Anne Aula,et al.  MoBiS-Q: a tool for evaluating the success of mobile business services , 2007, Mobile HCI.

[5]  Stefan Stieglitz,et al.  From Top to Bottom , 2015, Business & Information Systems Engineering.

[6]  V. Venkatesh,et al.  AGE DIFFERENCES IN TECHNOLOGY ADOPTION DECISIONS: IMPLICATIONS FOR A CHANGING WORK FORCE , 2000 .

[7]  Jerry Fjermestad,et al.  Mobile and Connected Device Security Considerations: A Dilemma for Small and Medium Enterprise Business Mobility? , 2012, AMCIS.

[8]  K. D. Joshi,et al.  The Pathway to Enterprise Mobile Readiness: Analysis of Perceptions, Pressures, Preparedness, and Progression , 2012, AMCIS.

[9]  Kenneth L. Kraemer,et al.  Review: Information Technology and Organizational Performance: An Integrative Model of IT Business Value , 2004, MIS Q..

[10]  Dongho Won,et al.  Security Requirements of a Mobile Device Management System , 2012 .

[11]  Saonee Sarker,et al.  Trends in Mobile Computing within the IS Discipline : A Ten-Year Retrospective Trends in Mobile Computing within the IS Discipline : A Ten-Year Retrospective , 2018 .

[12]  L. G. Tornatzky,et al.  Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings , 1982, IEEE Transactions on Engineering Management.

[13]  Ritu Agarwal,et al.  The Role of Innovation Characteristics and Perceived Voluntariness in the Acceptance of Information Technologies , 1997 .

[14]  Stefan Stieglitz,et al.  Adoption of Social Media for Internal Usage in a Global Enterprise , 2013, 2013 27th International Conference on Advanced Information Networking and Applications Workshops.

[15]  Thomas Sammer,et al.  Why Is There Variation in the Nature of Organizational Mobile IT Adoption? An Empirical Study of the Influence of Organizational Culture on Organizational Mobile IT Adoption , 2013, ICMB.

[16]  Rahul C. Basole.  The Emergence of the Mobile Enterprise: A Value-Driven Perspective , 2007, International Conference on the Management of Mobile Business (ICMB 2007).

[17]  Bong Gyou Lee,et al.  Analyzing User's Intention and Innovation Diffusion of Smartphones , 2010, 2010 Proceedings of the 5th International Conference on Ubiquitous Information Technologies and Applications.

[18]  E. Rogers,et al.  Diffusion of Innovations , 1964 .

[19]  Dan Kim,et al.  Examining Trends of Technology Diffusion Theories in Information Systems , 2011, ICIS.

[20]  Steve Sawyer,et al.  Special issue on futures for research on information systems: prometheus unbound? , 2011, J. Inf. Technol..

[21]  Jan Marco Leimeister,et al.  Consumerization - IT-Innovationen aus dem Konsumentenumfeld als Herausforderung für die Unternehmens-IT , 2012, Wirtsch..

[22]  Stefan Stieglitz,et al.  Social Collaboration and Gamification , 2017 .

[23]  Gordon B. Davis,et al.  Anytime/anyplace computing and the future of knowledge work , 2002, CACM.

[24]  Stefan Stieglitz,et al.  Increasing Organizational Performance by Transforming into a Mobile Enterprise , 2012, MIS Q. Executive.

[25]  Stefan Stieglitz,et al.  Maßnahmen für die Einführung unternehmensinterner Social Media , 2014, HMD Praxis der Wirtschaftsinformatik.

[26]  Shalini Chandra,et al.  of the Association , 2018 .

[27]  Cheryl Geisler,et al.  Work–life boundary management and the personal digital assistant , 2007 .

[28]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[29]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[30]  Jeffrey M. Voas,et al.  BYOD: Security and Privacy Considerations , 2012, IT Professional.

[31]  Christian Meske,et al.  Determinants of Social Network Adoption: A Country-Level Analysis , 2015, 2015 48th Hawaii International Conference on System Sciences.

[32]  Christoph Lattemann,et al.  Mobile Applications for Knowledge Workers and Field Workers , 2015, Mob. Inf. Syst..

[33]  Blake Ives,et al.  IT Consumerization: When Gadgets Turn Into Enterprise IT Tools , 2012, MIS Q. Executive.

[34]  Matti Rossi,et al.  Mobile Games: Analyzing the Needs and Values of the Consumers , 2010 .

[35]  Stefan Stieglitz,et al.  Maßnahmen für die Einführung und den Betrieb unternehmensinterner Social Media , 2012 .

[36]  Henri Barki,et al.  When Technology Meets Human Desires , 2013, ICIS.

[37]  Stefan Stieglitz,et al.  Hierarchy or Activity? The Role of Formal and Informal Influence in Eliciting responses from Enterprise Social Networks , 2014, ECIS.

[38]  Gamel O. Wiredu.  User appropriation of mobile technologies: Motives, conditions and design properties , 2007, Inf. Organ..

[39]  Paul Lukowicz,et al.  From Backpacks to Smartphones: Past, Present, and Future of Wearable Computers , 2009, IEEE Pervasive Computing.

[40]  Björn Niehaves,et al.  AIS Electronic , 2017 .

[41]  Will Tao,et al.  MobiPass: a passport for mobile business , 2006, Personal and Ubiquitous Computing.

[42]  Joey F. George,et al.  IT Road Warriors: Balancing Work--Family Conflict, Job Autonomy, and Work Overload to Mitigate Turnover Intentions , 2007, MIS Q..

[43]  Kenton O'Hara,et al.  Dealing with mobility: understanding access anytime, anywhere , 2001, TCHI.

[44]  Kristine Dery,et al.  Managing Mobile Technology: The Shift from Mobility to Connectivity , 2012, MIS Q. Executive.

[45]  Mark Vandenbosch,et al.  Research Report: Richness Versus Parsimony in Modeling Technology Adoption Decisions - Understanding Merchant Adoption of a Smart Card-Based Payment System , 2001, Inf. Syst. Res..