Exploring Tourist Satisfaction with Mobile Experience Technology

[Abstract] Wireless access with handheld devices is a promising addition to the WWW and traditional electronic business. Handheld devices provide convenience, portable access, and large amounts of information to travelers. Tourism presents considerable potential for the use of new mobile technologies; however, limited research exists on mobile users' perspectives with regard to satisfaction towards mobile technology. There is a need to develop an understanding of travelers' satisfaction with mobile commerce in order to gain optimum competitive advantage. In this paper, we adapted and developed the American Customer Satisfaction Model (ACSM) to m-commerce in the tourism industry. The results of this study suggest that the degree of perception and perceived value are key factors affecting mobile travelers' satisfaction with their mobile experiences. Satisfaction, in turn, influences the extent of intention to continue to use mobile devices during travel. The study concludes with recommendations based on our findings, as well as provides directions for future research. [Keywords] Mobile commerce; customer satisfaction; American Customer Satisfaction Model (ACSM); mobile technology Introduction In recent years, there has been significant growth in the use of mobile devices, such as hand-phones, personal digital assistants (PDAs), and handheld computers. In U.S., mobile commerce revenue doubled to $58.4 billion in 2007 from $29 billion in 2006 (Jupiter, 2008) Mobile technology not only extends the reach of wired networks, but also serves as an alternative information channel providing new range of opportunities to travelers, as well as changing the way certain information-related activities are conducted. In the past, mobile devices were regarded as a luxury for individuals. However, mobile commerce (m-commerce) now offers great flexibility for the tourism industry both to suppliers and travelers. Users can surf the web, check e-mail, read news, pay transactions, and quote stock prices using these handheld devices. From the supplier's perspective, the promotional message can be changed much more quickly than through the use of traditional media. M-commerce is now becoming the standard in handung travel yields effectively (Eriksson, 2002). Ninety percent of households in Japan, South Korea, and urban China now own cell phones, as do 80% of households in Western Europe, 60% in Canada, and three out of four households in the U.S. (Lombard, 2006). With this skyrocketing rate of ownership of mobile devices (Fernadez, 2000; Bughin, et al., 2001), considerable research efforts are now being devoted to understanding how mobile technology could support the information needs of travelers, ranging from touring in museums (Oppermann & Specht, 1999), transportation and parking information (Rodseth et al., 2001), location identification (Eriksson, 2002), to tracking and navigation (Corona & Winter, 2001). The findings of these research efforts imply that travelers are interested in new ways to carry out their travel plans. However, limited research exits on traveler's satisfaction with mobile technology and mobile devices. The purpose of this study, therefore, is to develop a conceptual framework that examines and explains the factors influencing mobile users' satisfaction and purchase intention. The study is organized as follows: first, the background of the study is described; second a tourist satisfaction model for mobile devices is proposed with corresponding hypotheses; third, the proposed model was tested using confirmatory factor analysis and structural equation modeling. The study ends by presenting conclusions and discussing study implications. Study Background M-commerce M-commerce, in this study, is defined as a transaction that takes place via wireless Internet-enabled technology (through handheld computers, cellular phones, personal digital assistants (PDAs), or palmtop computers) while allowing for freedom of movement for the end user (Wei & Ozok, 2005). …

[1]  Moon-Koo Kim,et al.  The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services , 2004 .

[2]  Prithwiraj Nath,et al.  Resource, service quality and performance triad: a framework for measuring efficiency of banking services , 2003, J. Oper. Res. Soc..

[3]  J Rodseth,et al.  ICT IN ROAD TRAFFIC , 2001 .

[4]  Gopal K. Kanji,et al.  Customer satisfaction at the Sheffield World Congress, 1998 , 1999 .

[5]  Richard G. Lomax,et al.  A Beginner's Guide to Structural Equation Modeling , 2022 .

[6]  A. Tjoa,et al.  Information and Communication Technologies in Tourism , 1996, Springer Vienna.

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

[8]  Marcus Specht,et al.  A Nomadic Information System for Adaptive Exhibition Guidance , 1999, Arch. Mus. Informatics.

[9]  Karen S. Cravens,et al.  Analysis of co-operative interorganizational relationships, strategic alliance formation, and strategic alliance effectiveness , 1993 .

[10]  Barbara M. Byrne,et al.  Structural equation modeling with EQS : basic concepts, applications, and programming , 2000 .

[11]  A. Ant Ozok,et al.  Development of a web-based mobile airline ticketing model with usability features , 2005, Ind. Manag. Data Syst..

[12]  Dimitrios Buhalis,et al.  The future eTourism intermediaries , 2002 .

[13]  Rick Christian Developing an online access strategy: Issues facing small to medium-sized tourism and hospitality enterprises , 2001 .

[14]  Upkar Varshney,et al.  Mobile Commerce: Framework, Applications and Networking Support , 2002, Mob. Networks Appl..

[15]  Keng Siau,et al.  Mobile Commerce: Promises, Challenges and Research Agenda , 2001, J. Database Manag..

[16]  Sheryl E. Kimes,et al.  Electronic distribution channels' effect on hotel revenue management☆ , 2002 .

[17]  Michael J. Baker,et al.  Responding to the electronic marketplace: Lessons from destination management systems , 1996 .

[18]  Khaled Choudhury,et al.  Making the Most of B2C Wireless , 2001 .

[19]  Debra A. Laverie,et al.  Developing parsimonious retailer equity indexes using partial least squares analysis: a method and applications , 2003 .

[20]  A. Serenko,et al.  Satisfaction with mobile services in Canada: An empirical investigation , 2006 .

[21]  J. Dietz Satisfaction: A Behavioral Perspective on the Consumer , 1997 .

[22]  C. Fornell,et al.  The American Customer Satisfaction Index: Nature, Purpose, and Findings , 1996 .

[23]  Milan Konečný GI in Europe : integrative, interoperable, interactive , 2001 .

[24]  Bill Anckar,et al.  Value-added services in mobile commerce: an analytical framework and empirical findings from a national consumer survey , 2002, Proceedings of the 35th Annual Hawaii International Conference on System Sciences.

[25]  Stephan Winter,et al.  Navigation information for pedestrians from city maps , 2001 .

[26]  Owen Eriksson Location Based Destination Information for the Mobile Tourist , 2002, ENTER.

[27]  Irvine Clarke,et al.  Emerging Value Propositions For M-Commerce , 1970, Journal of Business Strategies.

[28]  Fredrik Lind,et al.  Mobile Portals Mobilize for Scale , 2001 .

[29]  T. J. Gerpott,et al.  Customer retention, loyalty, and satisfaction in the German mobile cellular telecommunications market , 2001 .

[30]  A. Poon The future of travel agents. , 2001 .

[31]  Felix C. Freiling,et al.  Supporting Fair Exchange in Mobile Environments , 2003, Mob. Networks Appl..

[32]  Sameer Kumar,et al.  Mobile communications: evolution and impact on business operations , 2003 .

[33]  Evaggelia Pitoura,et al.  Challenges in Mobile Electronic Commerce , 2000 .