BYOD - The Next Big Thing in Recruiting? Examining the Determinants of BYOD Service Adoption Behavior from the Perspective of Future Employees
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[1] Detmar W. Straub,et al. A Practical Guide To Factorial Validity Using PLS-Graph: Tutorial And Annotated Example , 2005, Commun. Assoc. Inf. Syst..
[2] John Hulland,et al. Use of partial least squares (PLS) in strategic management research: a review of four recent studies , 1999 .
[3] A. Tenbrunsel,et al. Organizational Behavior and Human Decision Processes , 2013 .
[4] D. Straub,et al. Editor's comments: a critical look at the use of PLS-SEM in MIS quarterly , 2012 .
[5] Christer Carlsson,et al. Adoption of Mobile Devices/Services — Searching for Answers with the UTAUT , 2006, Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06).
[6] Mark A. Fuller,et al. Applying TAM to e-services adoption: the moderating role of perceived risk , 2003, 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the.
[7] Mark Blythe,et al. Grounding experience: relating theory and method to evaluate the user experience of smartphones , 2005 .
[8] Deborah Compeau,et al. Application of Social Cognitive Theory to Training for Computer Skills , 1995, Inf. Syst. Res..
[9] Michael Amberg,et al. The Compass Acceptance Model for the analysis and evaluation of mobile services , 2004, Int. J. Mob. Commun..
[10] Björn Niehaves,et al. AIS Electronic , 2017 .
[11] David F. Larcker,et al. Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics: , 1981 .
[12] Stephen Graham Ritchie,et al. TRANSPORTATION RESEARCH. PART C, EMERGING TECHNOLOGIES , 1993 .
[13] Jens Böcker,et al. ICT-Innovationen erfolgreich nutzen , 2012 .
[14] Wynne W. Chin. The partial least squares approach for structural equation modeling. , 1998 .
[15] Jerry Fjermestad,et al. Mobile and Connected Device Security Considerations: A Dilemma for Small and Medium Enterprise Business Mobility? , 2012, AMCIS.
[16] Björn Niehaves,et al. The Effect of Private IT Use on Work Performance - Towards an IT Consumerization Theory , 2013, Wirtschaftsinformatik.
[17] Kan Shi,et al. Exploring the influencing factors on surfing behavior intention of smartphone users , 2011, The Fourth International Workshop on Advanced Computational Intelligence.
[18] Chun-Der Chen,et al. Predicting electronic toll collection service adoption: An integration of the technology acceptance model and the theory of planned behavior , 2007 .
[19] Wynne W. Chin,et al. A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic - Mail Emotion/Adoption Study , 2003, Inf. Syst. Res..
[20] Ronald T. Cenfetelli. Inhibitors and Enablers as Dual Factor Concepts in Technology Usage , 2004, J. Assoc. Inf. Syst..
[21] Larry Nichols. The Genie is Out Of The Bottle , 2015 .
[22] M. Lynne Markus,et al. Power, politics, and MIS implementation , 1987, CACM.
[23] Deborah Compeau,et al. Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study , 1999, MIS Q..
[24] Kailash Joshi,et al. A Model of Users' Perspective on Change: The Case of Information Systems Technology Implementation , 1991, MIS Q..
[25] Wynne W. Chin,et al. A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and Voice Mail Emotion/Adoption Study , 1996, ICIS.
[26] Nils Urbach,et al. Structural Equation Modeling in Information Systems Research Using Partial Least Squares , 2010 .
[27] Jan Marco Leimeister,et al. Consumerization - IT Innovations from the Consumer Market as a Challenge for Corporate IT , 2012, Bus. Inf. Syst. Eng..
[28] Jeffrey A. Ingalsbe,et al. Threat Modeling the Cloud Computing, Mobile Device Toting, Consumerized Enterprise - an overview of considerations , 2011, AMCIS.
[29] Venkataraman Ramesh,et al. Web 2.0 proclivity: understanding how personal use influences organizational adoption , 2009, SIGDOC '09.
[30] M. Prensky. Digital Natives, Digital Immigrants , 2001 .
[31] Fred D. Davis. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..
[32] C. Fornell,et al. Evaluating structural equation models with unobservable variables and measurement error. , 1981 .
[33] Shin-Yuan Hung,et al. User acceptance of WAP services: test of competing theories , 2005, Comput. Stand. Interfaces.
[34] M. Prensky. Do They Really Think Differently , 2001 .
[35] Margherita Pagani. Determinants of adoption of third generation mobile multimedia services , 2004 .
[36] M. Featherman,et al. EXTENDING THE TECHNOLOGY ACCEPTANCE MODEL BY INCLUSION OF PERCEIVED RISK , 2001 .
[37] Gordon B. Davis,et al. User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..
[38] Walter Brenner,et al. European Conference on Information Systems ( ECIS ) 5-15-2012 EXPLORING THE SHADOWS : IT GOVERNANCE APPROACHES TO USER-DRIVEN INNOVATION , 2012 .
[39] Matti Rossi,et al. An empirical investigation of mobile ticketing service adoption in public transportation , 2006, Personal and Ubiquitous Computing.
[40] Bill Holtsnider,et al. IT Manager's Handbook: Getting your New Job Done , 2010 .
[41] I. Ajzen. The theory of planned behavior , 1991 .
[42] D. F. Blankertz,et al. Risk taking and information handling in consumer behavior , 1969 .