A Model of Mobile Work Continuance of Knowledge Workers: Evidences from China

Mobile work has been found to offer the benefits of flexibility, empowerment and higher quality of life to employees and cost savings, productivity gains, and enhanced employee retention to organizations. Nevertheless, challenges and risks associated with mobile work can erode acceptance and continuance of mobile work among employees. Using data collected from 158 knowledge mobile workers in China, this study develops and validates a model of mobile work continuance. The model suggests that outcome construct and experiential constructs affect a knowledge worker’s intention regarding mobile work continuance. The findings’ implications to theory and practice are also discussed.

[1]  Kee-Young Kwahk,et al.  Examining the determinants of Mobile Internet service continuance: a customer relationship development perspective , 2010, Int. J. Mob. Commun..

[2]  Kar Yan Tam,et al.  The Effects of Post-Adoption Beliefs on the Expectation-Confirmation Model for Information Technology Continuance , 2006, Int. J. Hum. Comput. Stud..

[3]  Leonard M. Jessup,et al.  The relevance of social issues in ubiquitous computing environments , 2002, CACM.

[4]  Ingoo Han,et al.  What drives the adoption of mobile data services? An approach from a value perspective , 2009, J. Inf. Technol..

[5]  Lei-da Chen,et al.  Nomadic Culture: Cultural Support for Working Anytime, Anywhere , 2005, Inf. Syst. Manag..

[6]  Lei-da Chen,et al.  An Empirical Examination of the Impact of Wireless Local Area Networks on Organization of Users , 2006, J. Electron. Commer. Organ..

[7]  Andrew M. Seybold,et al.  The convergence of wireless, mobility, and the Internet and its relevance to enterprises , 2008, Inf. Knowl. Syst. Manag..

[8]  Sirkka L. Jarvenpaa,et al.  Friend or Foe? The Ambivalent Relationship between Mobile Technology and its Users , 2005, Designing Ubiquitous Information Environments.

[9]  Lei-da Chen,et al.  A socio-technical perspective of mobile work , 2008, Inf. Knowl. Syst. Manag..

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

[11]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[12]  Judy E. Scott.  Mobility, Business Process Management, Software Sourcing, and Maturity Model Trends: Propositions for the IS Organization of the Future , 2007, Inf. Syst. Manag..

[13]  Wendy L. Cukier,et al.  Is mobile email functional or dysfunctional? Two perspectives on mobile email usage , 2006, Eur. J. Inf. Syst..

[14]  Moez Limayem,et al.  How Habit Limits the Predictive Power of Intention: The Case of Information Systems Continuance , 2007, MIS Q..

[15]  Catherine E. Connelly,et al.  Identifying the ideal fit between mobile work and mobile work support , 2010, Inf. Manag..

[16]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[17]  R. Bagozzi,et al.  On the evaluation of structural equation models , 1988 .

[18]  William B. Rouse,et al.  Enterprise transformation , 2006, CACM.

[19]  Margrethe H. Olson,et al.  New Information Technology and Organizational Culture , 1982, MIS Q..

[20]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[21]  Lei-da Chen,et al.  A Theoretical Model of Nomadic Culture: Assumptions, Values, Artifacts, and the Impact on Employee Job Satisfaction , 2008, Commun. Assoc. Inf. Syst..

[22]  Detmar W. Straub,et al.  The psychological origins of perceived usefulness and ease-of-use , 1999, Inf. Manag..

[23]  Athanasia Pouloudi,et al.  Enacting new temporal boundaries: the role of mobile phones , 2006, Eur. J. Inf. Syst..

[24]  Harry Bouwman,et al.  An assessment of advanced mobile services acceptance: Contributions from TAM and diffusion theory models , 2008, Inf. Manag..

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

[26]  Lei-da Chen,et al.  A framework for mobile business applications , 2004, Int. J. Mob. Commun..

[27]  Tom R. Eikebrokk,et al.  Explaining IS continuance in environments where usage is mandatory , 2008, Comput. Hum. Behav..

[28]  Anol Bhattacherjee,et al.  Understanding Information Systems Continuance: An Expectation-Confirmation Model , 2001, MIS Q..

[29]  Robert C. Nickerson,et al.  Telecommuting and corporate culture: Implications for the mobile enterprise , 2008, Inf. Knowl. Syst. Manag..

[30]  S. Jarvenpaa,et al.  Exploring the implications of m-commerce for markets and marketing , 2002 .

[31]  Leonard Kleinrock.  Breaking loose , 2001, CACM.

[32]  Terry Ernest-Jones.  Mobile Security Strategy: Pinning down a security policy for mobile data , 2006 .

[33]  Lei-da Chen,et al.  Impediments to mobile work: an empirical study , 2011, Int. J. Mob. Commun..

[34]  Rahul C. Basole.  Enterprise mobility: Researching a new paradigm , 2008, Inf. Knowl. Syst. Manag..

[35]  Magid Igbaria,et al.  Information systems continuance intention of web-based applications customers: The case of online banking , 2008, Inf. Manag..

[36]  Daniel Robey,et al.  Human agency in a wireless world: Patterns of technology use in nomadic computing environments , 2005, Inf. Organ..