An empirical investigation of mobile ticketing service adoption in public transportation

In this paper, we present results from a study of mobile ticketing service adoption in public transportation. The theoretical background of the study is based on technology adoption and trust theories, which are augmented with concepts of mobile use context and mobility. Our empirical findings from analyses of a survey data suggest that compatibility of the mobile ticketing service with consumer behavior is a major determinant of adoption. Mobility and contextual factors, including budget constraints, availability of other alternatives, and time pressure in the service use situation were also found to have a strong effect on the adoption decision. Our findings suggest that contextual and mobile service-specific features are important determinants of mobile service adoption and should thus be integrated into the traditional adoption models.

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

[2]  Indrajit Sinha,et al.  A Conceptual Model of the Role of Situational Type on Consumer Choice Behavior and Consideration Sets , 1994 .

[3]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[4]  Carsten Sørensen,et al.  Practising mobile professional work: tales of locational, operational, and interactional mobility , 2004 .

[5]  Kalle Lyytinen,et al.  Research Commentary: The Next Wave of Nomadic Computing , 2002, Inf. Syst. Res..

[6]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[7]  R. Belk.  An Exploratory Assessment of Situational Effects in Buyer Behavior , 1974 .

[8]  Mark Weiser.  The computer for the 21st century , 1991 .

[9]  Young-Gul Kim,et al.  Extending the TAM for a World-Wide-Web context , 2000, Inf. Manag..

[10]  Gregory D. Abowd,et al.  A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-Aware Applications , 2001, Hum. Comput. Interact..

[11]  Gordon C. Bruner,et al.  Explaining consumer acceptance of handheld Internet devices , 2005 .

[12]  Ewald A. Kaluscha,et al.  Empirical research in on-line trust: a review and critical assessment , 2003, Int. J. Hum. Comput. Stud..

[13]  Charles J. Kacmar,et al.  Developing and Validating Trust Measures for e-Commerce: An Integrative Typology , 2002, Inf. Syst. Res..

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

[15]  R. Bagozzi,et al.  An attitudinal model of technology-based self-service: Moderating effects of consumer traits and situational factors , 2002 .

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

[17]  Sirkka L. Jarvenpaa,et al.  Consumer trust in an Internet store , 2000, Inf. Technol. Manag..

[18]  E. Hirschman.  New York University Institute of Retail Management 202 Tisch Hall Washington Square New York, New York 10003 , 1982 .

[19]  Leonard Kleinrock,et al.  Nomadicity: Anytime, Anywhere in a Disconnected World , 1996, Mob. Networks Appl..

[20]  Amir Herzberg,et al.  Payments and banking with mobile personal devices , 2003, CACM.

[21]  T. Dahlberg,et al.  Consumer acceptance of mobile payment solutions - ease of use, usefulness and trust , 2003 .

[22]  Xianggui Qu,et al.  Multivariate Data Analysis , 2007, Technometrics.

[23]  Sumeet Gupta,et al.  Value-based Adoption of Mobile Internet: An empirical investigation , 2007, Decis. Support Syst..

[24]  Thomas F. Stafford,et al.  Mobile commerce: what it is and what it could be , 2003, CACM.

[25]  C. Sørensen,et al.  Expanding the 'mobility' concept , 2001, SIGG.

[26]  Thompson S. H. Teo,et al.  Adoption of WAP-enabled mobile phones among Internet users , 2003 .

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

[28]  Jen-Her Wu,et al.  What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model , 2005, Inf. Manag..

[29]  Christian Heath,et al.  Mobility in collaboration , 1998, CSCW '98.

[30]  Lei-da Chen,et al.  Assessing M-Commerce Opportunities , 2004, Inf. Syst. Manag..

[31]  M. Weiser.  The Computer for the Twenty-First Century , 1991 .

[32]  Kieran Mathieson,et al.  Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior , 1991, Inf. Syst. Res..

[33]  Pin Luarn,et al.  AIS Electronic Library (AISeL) , 2017 .

[34]  Ritu Agarwal,et al.  Are Individual Differences Germane to the Acceptance of New Information Technologies , 1999 .

[35]  Antti Oulasvirta,et al.  Understanding Mobile Contexts , 2003, Mobile HCI.

[36]  Sirkka L. Jarvenpaa,et al.  Managing the Paradoxes of Mobile Technology , 2005, Inf. Syst. Manag..

[37]  R. Belk.  Situational Variables and Consumer Behavior , 1975 .

[38]  K. Keeling,et al.  Using ZMET to explore barriers to the adoption of 3G mobile banking services , 2003 .

[39]  Anup K. Ghosh,et al.  Software security and privacy risks in mobile e-commerce , 2001, CACM.

[40]  Shin-Yuan Hung,et al.  Critical factors of WAP services adoption: an empirical study , 2003, Electron. Commer. Res. Appl..

[41]  Sonja Wendel,et al.  Situation variation in consumers’ media channel consideration , 2005 .

[42]  Shengnan Han,et al.  Mobilizing medical information and knowledge: some insights from a survey , 2004, ECIS.

[43]  Paul Dourish,et al.  Re-place-ing space: the roles of place and space in collaborative systems , 1996, CSCW '96.

[44]  M.H.P. Kleijnen,et al.  Consumer acceptance of wireless finance , 2004 .

[45]  Paul Dourish,et al.  What we talk about when we talk about context , 2004, Personal and Ubiquitous Computing.

[46]  Jinwoo Kim,et al.  Use Contexts for the Mobile Internet: A Longitudinal Study Monitoring Actual Use of Mobile Internet Services , 2005, Int. J. Hum. Comput. Interact..

[47]  Albrecht Schmidt,et al.  There is more to context than location , 1999, Comput. Graph..

[48]  Anol Bhattacherjee,et al.  Individual Trust in Online Firms: Scale Development and Initial Test , 2002, J. Manag. Inf. Syst..

[49]  D. Gefen,et al.  Consumer trust in B2C e-Commerce and the importance of social presence: experiments in e-Products and e-Services , 2004 .

[50]  Detmar W. Straub,et al.  Trust and TAM in Online Shopping: An Integrated Model , 2003, MIS Q..

[51]  Paul A. Pavlou,et al.  Predicting E-Services Adoption: A Perceived Risk Facets Perspective , 2002, Int. J. Hum. Comput. Stud..

[52]  Kenneth C. Gehrt,et al.  Situational, consumer, and retailer factors affecting Internet, catalog, and store shopping , 2004 .

[53]  Keng Siau,et al.  Building customer trust in mobile commerce , 2003, CACM.

[54]  Bill Anckar,et al.  VALUE CREATION IN MOBILE COMMERCE: FINDINGS FROM A CONSUMER SURVEY , 2002 .

[55]  Paul A. Pavlou,et al.  Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model , 2003, Int. J. Electron. Commer..