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Innovation Through BYOD?

The Influence of IT Consumerization on Individual IT Innovation Behavior

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Abstract

Leveraging the IT innovation capabilities of employees is becoming increasingly feasible in the era of IT consumerization. Consumer IT tools, in form of tablets, smartphones, or social media, are entering organizations and are changing the way employees use technology for work. In this article, the authors decipher the term IT consumerization in more detail by providing a framework that illustrates the various perspectives of the phenomenon. They then apply the various perspectives in order to propose an IT consumerization framework that juxtaposes consumer IT with enterprise IT in its ability to lead to individual IT innovation behaviors. Using data from 486 European employees that work for large-sized companies, they are able to infer that consumer IT and the permission to use privately owned IT exert positive effects on employees’ innovation behaviors. An examination of the various perspectives supports the assumption of science and practice that BYOD strategies and the diffusion of consumer IT within organizations are beneficial for innovation. The results provide a first step in theorizing about the innovative power of IT consumerization.

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References

  • Agarwal R, Prasad J (1998) A conceptual and operational definition of personal innovativeness in the domain of information technology. Inf Syst Res 9(2):204–215. doi:10.1287/isre.9.2.204

    Article  Google Scholar 

  • Ahuja MK, Thatcher JB (2005) Moving beyond intentions and toward the theory of trying: effects of work environment and gender on post-adoption information techology use. MIS Q 29(3):427–459

    Google Scholar 

  • Amabile TM (1996) Creativity and innovation in organizations. Harvard Bus Sch 9(396–239):1–15

    Google Scholar 

  • Anderson N, De Dreu CKW, Nijstad BA (2004) The routinization of innovation research: a constructively critical review of the state-of-the-science. J Organ Behav 25(2):147–173. doi:10.1002/job.236

    Article  Google Scholar 

  • Andriole SJ (2012) Seven indisputable technology trends that will define 2015. Commun Assoc Inf Syst 30(1):4 (Article 4)

    Google Scholar 

  • Askenäs L, Westelius A (2000) Five roles of an information system: a social constructionist approach to analysing the use of ERP systems. Proc Int Conf, Inf Syst 6

    Google Scholar 

  • Axtell CM, Holman DJ, Unsworth KL et al (2000) Shopfloor innovation: facilitating the suggestion and implementation of ideas. J Occup Organ Psychol 73(3):265–285. doi:10.1348/096317900167029

    Article  Google Scholar 

  • Bagozzi RP, Yi Y (1988) On the evaluation of structural equation models. J Acad Mark Sci 16(1):74–94. doi:10.1007/BF02723327

    Article  Google Scholar 

  • Bailey D, Kurland N (2002) A review of telework research: findings, new directions, and lessons for the study of modern work. J Organ Behav 23(4):383–400

    Article  Google Scholar 

  • Bandura A (1997) Self-efficacy: the exercise of control. Pers Psychol. doi:10.1177/0957154X9400501708

    Google Scholar 

  • Baskerville R (2011) Design theorizing individual information systems. In: Proceedings of the Pacific Asia conference on information systems

  • Behrens S (2009) Shadow systems: the good, the bad and the ugly. Commun ACM 52(2):124–129. doi:10.1145/1461928.1461960

    Article  Google Scholar 

  • Benson DH (1983) A field study of end user computing: findings and issues. MIS Q 7(4):35. doi:10.2307/248745

    Article  Google Scholar 

  • Burton-Jones A, Straub DW (2006) Reconceptualizing system usage: an approach and empirical test. Inf Syst Res 17(3):228–246. doi:10.1287/isre.1060.0096

    Article  Google Scholar 

  • Carter PE, Thatcher JB, Chudoba KM, Marett K (2012) Post-acceptance intentions and behaviors. An empirical investigation of information technology use and innovation. J Organ End User Comput 24(1):1–20. doi:10.4018/joeuc.2012010101

    Article  Google Scholar 

  • Chin W (1998) The partial least squares approach to structural equation modeling. Mod methods bus res 295(2):295–336

    Google Scholar 

  • Cohen J, Cohen P, West S, Aiken L (2003) Applied multiple regression/correlation analysis for the behavioral sciences. Lawrence Erlbaum Associates, London

    Google Scholar 

  • D’Arcy P (2011) CIO strategies for consumerization: the future of enterprise mobile computing. Dell CIO Insight Series

  • Davis JM (2013) Leveraging the IT competence of non-IS workers: social exchange and the good corporate citizen. Eur J Inf Syst 22(4):403–415. doi:10.1057/ejis.2012.36

    Article  Google Scholar 

  • Del Prete C, Levitas D, Grieser T et al (2011) IT consumers transform the enterprise: are you ready?. IDC, Framingham

    Google Scholar 

  • Dell, Intel (2011) The evolving workforce: expert insights. Round Rock

  • ENISA (2012) Consumerization of IT: top risks and opportunities. Heraklion

  • Fornell C, Larcker DF (1981) Structural equation models with unobservable variables and measurement error: algebra and statistics. J Mark Res 18(3):382–388

    Article  Google Scholar 

  • Gartner (2013) Gartner predicts by 2017, half of employers will require employees to supply their own device for work purposes. Press release. http://www.gartner.com/newsroom/id/2466615

  • Gates B (2012) The optimist’s timeline. In: livemint Wall Str J. http://www.livemint.com/Opinion/V50SZzLeXeMDyrSmleT34I/The-optimists-timeline.html

  • Gens F, Levitas D, Segal R (2011) 2011 consumerization of IT study: closing the consumerization gap. IDC, Framingham

    Google Scholar 

  • George JM, Zhou J (2001) When openness to experience and conscientiousness are related to creative behavior: an interactional approach. J Appl Psychol 86(3):513–524. doi:10.1037//0021-9010.86.3.513

    Article  CAS  PubMed  Google Scholar 

  • Hair JF, Ringle CM, Sarstedt M (2011) PLS-SEM: indeed a silver bullet. J Mark Theory Pract 19(2):139–152. doi:10.2753/MTP1069-6679190202

    Article  Google Scholar 

  • Hair JF, Hult GTM, Ringle CM, Sarstedt M (2013) A primer on partial least squares structural equations modeling (PLS-SEM). Sage, Thousand Oaks

    Google Scholar 

  • Hammond MM, Neff NL, Farr JL et al (2011) Predictors of individual-level innovation at work: a meta-analysis. Psychol Aesthet Creat Arts 5(1):90–105. doi:10.1037/a0018556

    Article  Google Scholar 

  • Harris JG, Ives B, Junglas I (2012) IT consumerization: when gadgets turn into enterprise IT tools. MIS Q Exec 11(3):99–112

    Google Scholar 

  • Hopkins N, Sylvester A, Tate M (2013) Motivations for BYOD: an investigation of the contents of a 21st century school bag. In: Proceedings of ECIS 2013, Completed Research, Paper 183

  • Janssen O (2000) Job demands, perceptions of effort-reward fairness and innovative work behaviour. J Occup Organ Psychol 73(3):287–302. doi:10.1348/096317900167038

    Article  Google Scholar 

  • Jarvis CB, MacKenzie SB, Podsakoff PM (2003) A critical review of construct indicators and measurement model misspecification in marketing and consumer research. J Consum Res 30(2):199–218. doi:10.1086/376806

    Article  Google Scholar 

  • Jasperson J, Carter PE, Zmud RW (2005) A comprehensive conceptualization of post-adoptive behaviors associated with information technology enabled work systems. MIS Q 29(3):525–557. doi:10.2307/25148694

    Google Scholar 

  • Junglas I, Harris J (2013) The promise of consumer technologies in emerging markets. Commun ACM 56(5):84. doi:10.1145/2447976.2447995

    Article  Google Scholar 

  • Junglas I, Goel L, Ives B, Harris JG (2014) Consumer IT at work: Development and test of an IT empowerment model. In: Proceedings of the international conference on information systems

  • Kanter RM (1988) When a thousand flowers bloom: structural, collective, and social conditions for innovation in organization. Entrep Soc Sci view 10:169–211

    Google Scholar 

  • Karlson AK, Meyers BR, Jacobs A, Johns P, Kane SK (2009) Working overtime: patterns of smartphone and PC usage in the day of an information worker. In: Tokuda H et al (eds) Pervasive Comput, LNCS 5538, pp 398–405. doi:10.1007/978-3-642-01516-8_27

  • Kettinger W, Lee CC (2002) Understanding the IS-user divide in IT innovation. Commun ACM 45(2):79–84

    Article  Google Scholar 

  • Köffer S, Junglas I, Chiperi C, Niehaves B (2014a) Dual use of mobile IT and work-to-life conflict in the context of IT consumerization. In: Proceedings of the international conference on information systems

  • Köffer S, Ortbach K, Niehaves B (2014b) Exploring the relationship between IT consumerization and job performance: a theoretical framework for future research. Commun Assoc Inf Syst 35(1):14

    Google Scholar 

  • Krause D (2004) Influence-based leadership as a determinant of the inclination to innovate and of innovation-related behaviors. An empirical investigation. Leadersh Q 15(1):79–102. doi:10.1016/j.leaqua.2003.12.006

    Article  Google Scholar 

  • Li X, Hsieh JJPA, Rai A (2013) Motivational differences across post-acceptance information system usage behaviors: an investigation in the business intelligence systems context. Inf Syst Res 24(3):659–682, 879–881. doi:10.1287/isre.1120.0456

  • May T (2012) The impact of consumerization of IT. Turning BYOD, the cloud, and other trends to your advantage. Silver Spring

  • Moore G (2011) Systems of engagement and the future of enterprise IT – a sea change in enterprise IT. AIIM, Silver Spring

    Google Scholar 

  • Morrison EW, Phelps CC (1999) Taking charge at work: extrarole efforts to initiate workplace change. Acad Manag J 42(4):403–419. doi:10.2307/257011

    Article  Google Scholar 

  • Moschella D, Neal D, Opperman P, Taylor J (2004) The “consumerization” of information technology. CSC Research White Paper, El Segundo

    Google Scholar 

  • Nambisan S, Agarwal R, Tanniru M (1999) Organizational mechanisms for enhancing user innovation in information technology. MIS Q 23(3):365–395. doi:10.2307/249468

    Article  Google Scholar 

  • Niehaves B, Köffer S, Ortbach K (2012) IT consumerization – a theory and practice review. Proc Am Conf Inf Syst

  • Ortbach K, Köffer S, Bode M, Niehaves B (2013) Individualization of information systems – analyzing antecedents of IT consumerization behavior. In: Proceedings of the international conference on information systems

  • Patterson F (2002) Great minds don’t think alike? Person-level predictors of innovation at work. In: Robertson IT (ed) International Revue of Industrial and Organizational Psychology, Chapter 4, pp 115–144

  • Podsakoff PM, MacKenzie SB, Lee J-Y, Podsakoff NP (2003) Common method biases in behavioral research: a critical review of the literature and recommended remedies. J Appl Psychol 88(5):879–903. doi:10.1037/0021-9010.88.5.879

    Article  PubMed  Google Scholar 

  • Ringle CM, Wende S, Will S (2005) SmartPLS 2.0 (M3) Beta. http://www.smartpls.de

  • Rockart JF, Flannery LS (1983) The management of end user computing. Commun ACM 26(10):776–784. doi:10.1145/358413.358429

    Article  Google Scholar 

  • Rossiter JR (2002) The C-OAR-SE procedure for scale development in marketing. Int J Res Mark 19(4):305–335. doi:10.1016/S0167-8116(02)00097-6

    Article  Google Scholar 

  • Saga VL, Zmud RW (1994) The nature and determinants of IT acceptance, routinization, and infusion. In: Proc IFIP TC8 working conf diffusion transf implement inf technol, pp 67–86

  • Schadler T (2013) 2013 Mobile workforce adoption trends. Forrester Research

  • Schalow P, Winkler T, Repschläger J, Zarnekow R (2013) The blurring boundaries of work-related and personal media use: a grounded theory study on the employee’s perspective. In: Proceedings of ECIS 2013, Completed Research, Paper 212

  • Scott SG, Bruce RA (1994) Determinants of innovative behavior: a path model of individual innovation in the workplace. Acad Manag J 37(3):580–607. doi:10.2307/256701

    Article  Google Scholar 

  • Shrout PE, Bolger N (2002) Mediation in experimental and nonexperimental studies: new procedures and recommendations. Psychol Methods 7(4):422–445. doi:10.1037/1082-989X.7.4.422

    Article  PubMed  Google Scholar 

  • Spreitzer GM, Sonenshein S (2004) Toward the construct definition of positive deviance. Am Behav Sci 47(6):828–847. doi:10.1177/0002764203260212

    Article  Google Scholar 

  • Taggar S (2002) Individual creativity and group ability to utilize individual creative resources: a multilevel model. Acad Manag J 45(2):315–330. doi:10.2307/3069349

    Article  Google Scholar 

  • Unisys (2010) Unisys consumerization of IT benchmark study. Blue Bell

  • Venkatesh V (2000) Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model. Inf Syst Res 11(4):342–365

    Article  Google Scholar 

  • Weiß F, Leimeister JM (2012) Consumerization, IT innovations from the consumer market as a challenge for corporate IT. Bus Inf Syst Eng 4(6):363–366

    Article  Google Scholar 

  • West MA, Farr JL (1990) Innovation at work. In: West MA, Farr JL (eds) Innovation and creativity at work: psychological and organizational strategies. Wiley, New York, pp 3–13

  • Yuan F, Woodman RW (2010) Innovative behavior in the workplace: the role of performance and image outcome expectations. Acad Manag J 53(2):323–342. doi:10.5465/amj.2010.49388995

    Article  Google Scholar 

  • Yun H, Kettinger WJ, Lee CC (2012) A new open door: the smartphone’s impact on work-to-life conflict, stress, and resistance. Int J Electron Commer 16(4):121–151. doi:10.2753/JEC1086-4415160405

    Article  Google Scholar 

  • Zimmermann S, Rentrop C (2014) On the emergence of shadow IT – a transaction cost-based approach. In: Proceedings of ECIS 2014, Track 15, Paper 11

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Correspondence to Sebastian Köffer.

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Accepted after two revisions by Prof. Dr. Leidner.

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Köffer, S., Ortbach, K., Junglas, I. et al. Innovation Through BYOD?. Bus Inf Syst Eng 57, 363–375 (2015). https://doi.org/10.1007/s12599-015-0387-z

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