Applying the TAM to travelers' usage intentions of GPS devices

Research highlights? This study investigates factors affecting travelers' usage intention of in-vehicle GPS products. ? The moderating effect of personal innovativeness on the relationship between attitude and behavioral intention is examined. ? Attitude to in-vehicle GPS products is the most significant factor influencing travelers' usage intention. This study investigated factors affecting travelers' usage intentions of in-vehicle GPS products and examined the moderating effect of personal innovativeness on the relationship between attitude and behavior intention. Based upon technology acceptance model (TAM) and unique features of GPS devices, a self-administered questionnaire was designed and used to collect empirical data. The results obtained from hierarchical regressions revealed that (1) perceived ease of use has a significant positive effect on perceived usefulness; (2) all perceived usefulness, perceived enjoyment and perceived ease of use have significant positive effects on attitude toward usage; (3) attitude toward usage has also a significant positive effect on behavior intention, and (4) personal innovativeness is found to moderate the relationship between attitude and behavior intention. The implications of findings were discussed.

[1]  Hans van der Heijden,et al.  Factors influencing the usage of websites: the case of a generic portal in The Netherlands , 2003, Inf. Manag..

[2]  I. Ajzen,et al.  Understanding Attitudes and Predicting Social Behavior , 1980 .

[3]  Juha Munnukka,et al.  Characteristics of early adopters in mobile communications markets , 2007 .

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

[5]  Shirley Taylor,et al.  Decomposition and crossover effects in the theory of planned behavior: A study of consumer adoption intentions , 1995 .

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

[7]  Hae Young Lee,et al.  A study of the impact of personal innovativeness on online travel shopping behavior—A case study of Korean travelers , 2007 .

[8]  Roger J. Calantone,et al.  A comparison of three models to explain shop‐bot use on the web , 2002 .

[9]  June Lu,et al.  Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology , 2005, J. Strateg. Inf. Syst..

[10]  Ritu Agarwal,et al.  A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology , 1998, Inf. Syst. Res..

[11]  Charlotte H. Mason,et al.  An empirical study of innate consumer innovativeness, personal characteristics, and new-product adoption behavior , 2003 .

[12]  Lei-da Chen,et al.  Enticing online consumers: an extended technology acceptance perspective , 2002, Inf. Manag..

[13]  Tino Fenech,et al.  Web retailing adoption: exploring the nature of internet users Web retailing behaviour , 2003 .

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

[15]  J. R. Landis,et al.  The measurement of observer agreement for categorical data. , 1977, Biometrics.

[16]  Paul Jen-Hwa Hu,et al.  Information Technology Acceptance by Individual Professionals: A Model Comparison Approach , 2001, Decis. Sci..

[17]  Jaejeung Rho,et al.  Extending the TAM for a t-commerce , 2005, Inf. Manag..

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

[19]  I. Ajzen The theory of planned behavior , 1991 .

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