Understanding Motivations and Acceptance of Location-Based Services

ABSTRACT Location-based services (LBS) provide new opportunities for consumer convenience, just-in-time access to information, and services based upon the context of one’s location. Using a hotel/resort industry context, this study examines the impacts of LBS usage motivations on customers’ intentions and the moderating effects of age, gender, and experience on the relationships between motivations and intentions. Confirmatory factor analysis and structural equation modeling were used to analyze data collected from 398 hotel/resort customers owning smartphones. The results reveal the importance of utilitarian and social values in a customer’s adoption of LBS. This study provides practical significance to hospitality operators looking to deploy this type of technology to enhance the guest experience and revenue generating opportunities.

[1]  Dan Jong Kim,et al.  A study of mobile user engagement (MoEN): Engagement motivations, perceived value, satisfaction, and continued engagement intention , 2013, Decis. Support Syst..

[2]  Viswanath Venkatesh,et al.  Model of Adoption and Technology in Households: A Baseline Model Test and Extension Incorporating Household Life Cycle , 2005, MIS Q..

[3]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[4]  Hans van der Heijden,et al.  User Acceptance of Hedonic Information Systems , 2004, MIS Q..

[5]  Hua Wang,et al.  Age differences in perceptions of online community participation among non-users: An extension of the Technology Acceptance Model , 2010, Comput. Hum. Behav..

[6]  Yogesh Kumar Dwivedi,et al.  Service delivery through mobile-government (mGov): Driving factors and cultural impacts , 2014, Information Systems Frontiers.

[7]  Minna Pura.  Linking perceived value and loyalty in location‐based mobile services , 2005 .

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

[9]  Jianhua Ma,et al.  Dynamic intelligence towards merging cloud and communication services , 2014, Inf. Syst. Frontiers.

[10]  Xiaodong Lin,et al.  FINE: A fine-grained privacy-preserving location-based service framework for mobile devices , 2014, IEEE INFOCOM 2014 - IEEE Conference on Computer Communications.

[11]  Hangjung Zo,et al.  User acceptance of location-based social networking services: An extended perspective of perceived value , 2013, Online Inf. Rev..

[12]  L. Festinger,et al.  A Theory of Cognitive Dissonance , 2017 .

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

[14]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

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

[16]  Jonathan Munson,et al.  An approach to providing a seamless end-user experience for location-aware applications , 2001, WMC '01.

[17]  Terry L. Childers,et al.  HEDONIC AND UTILITARIAN MOTIVATIONS FOR ONLINE RETAIL SHOPPING BEHAVIOR , 2001 .

[18]  Hojung Cha,et al.  A Participatory Service Platform for Indoor Location-Based Services , 2015, IEEE Pervasive Computing.

[19]  A. Morrison,et al.  A Model of Traveller Acceptance of Mobile Technology , 2008 .

[20]  E. Hirschman,et al.  Hedonic Consumption: Emerging Concepts, Methods and Propositions , 1982 .

[21]  Heesup Han,et al.  Application of the Theory of Planned Behavior to green hotel choice: Testing the effect of environmental friendly activities , 2010 .

[22]  Allan Wigfield,et al.  Quantitative and Qualitative Relations Between Motivation and Critical-Analytic Thinking , 2014 .

[23]  Sumeet Gupta,et al.  The Moderating Effect of Transaction Experience on the Decision Calculus in On-Line Repurchase , 2007, Int. J. Electron. Commer..

[24]  Nick Bontis,et al.  User acceptance of wireless short messaging services: Deconstructing perceived value , 2007, Inf. Manag..

[25]  Heesup Han,et al.  Relationships among hedonic and utilitarian values, satisfaction and behavioral intentions in the fast‐casual restaurant industry , 2010 .

[26]  Richard,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace , 2022 .

[27]  Jean Perrien,et al.  Enduring Involvement with Shopping , 1995 .

[28]  Sarah Diefenbach,et al.  The 'hedonic' in human-computer interaction: history, contributions, and future research directions , 2014, Conference on Designing Interactive Systems.

[29]  I. Ajzen,et al.  Prediction of goal directed behaviour: Attitudes, intentions and perceived behavioural control , 1986 .

[30]  Heather L. O'Brien,et al.  The influence of hedonic and utilitarian motivations on user engagement: The case of online shopping experiences , 2010, Interact. Comput..

[31]  Hsi-Peng Lu,et al.  Why people use social networking sites: An empirical study integrating network externalities and motivation theory , 2011, Comput. Hum. Behav..

[32]  Stanley Widrick,et al.  Attitude and age differences in online buying , 2005 .

[33]  Chechen Liao,et al.  Shopping motivations on Internet: A study based on utilitarian and hedonic value , 2007 .

[34]  William R. Darden,et al.  Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value , 1994 .

[35]  Ramon J. Aldag,et al.  The Intrinsic-Extrinsic Dichotomy: Toward Conceptual Clarity , 1977 .

[36]  B. Byrne.  Structural equation modeling with EQS : basic concepts, applications, and programming , 2000 .

[37]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[38]  G. Soutar,et al.  Consumer perceived value: The development of a multiple item scale , 2001 .

[39]  Ming-Shan Hsu,et al.  A study of internship attitude, subjective norm, perceived behavioral control, and career planning of hospitality vocational college students , 2012 .

[40]  Michael F. Goodchild,et al.  Location-Based Services , 2018, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..

[41]  Mohammad Reza Jalilvand,et al.  The impact of electronic word of mouth on a tourism destination choice: Testing the theory of planned behavior (TBP) , 2012, Internet Res..

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

[43]  H. Dittmar,et al.  Buying on the Internet: Gender Differences in On-line and Conventional Buying Motivations , 2004 .

[44]  Icek Ajzen,et al.  From Intentions to Actions: A Theory of Planned Behavior , 1985 .

[45]  Y. Kamarulzaman.  Adoption of travel e‐shopping in the UK , 2007 .

[46]  T. Teo,et al.  Influence of gender and computer teaching efficacy on computer acceptance among Malaysian student teachers: An extended technology acceptance model , 2012 .

[47]  Stuart J. Barnes.  Location-Based Services: The State of the Art , 2004 .

[48]  April Lane Benson,et al.  I shop, therefore I am : compulsive buying and the search for self , 2004 .

[49]  Fred D. Davis,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1 , 1992 .

[50]  Hsi-Peng Lu,et al.  The influence of extro/introversion on the intention to pay for social networking sites , 2010, Inf. Manag..

[51]  R. Dholakia,et al.  Switching to electronic stores: consumer characteristics and the perception of shopping benefits , 2002 .

[52]  Jae Hyoung Lee,et al.  An empirical examination of the acceptance behaviour of hotel front office systems: An extended technology acceptance model , 2008 .

[53]  Ramakrishnan Ramanathan,et al.  Adoption of RFID technologies in UK logistics: Moderating roles of size, barcode experience and government support , 2014, Expert Syst. Appl..

[54]  Viswanath Venkatesh,et al.  Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology , 2012, MIS Q..

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

[56]  S. Hyun,et al.  Chain restaurant patrons' well-being perception and dining intentions: the moderating role of involvement. , 2012 .

[57]  Sumeet Gupta,et al.  Investigating the intention to purchase digital items in social networking communities: A customer value perspective , 2011, Inf. Manag..

[58]  Eun-Ju Lee,et al.  The effects of utilitarian and hedonic online shopping value on consumer preference and intentions , 2006 .

[59]  D. Fesenmaier,et al.  Smartphone Use in Everyday Life and Travel , 2016 .

[60]  Ben K. Goh,et al.  Development of a Multi-Dimensional Scale for Measuring Food Tourist Motivations , 2010 .

[61]  Barbara L. Gross,et al.  Consumption Values and Market Choices: Theory and Applications , 1991 .