What determines tourist adoption of smartphone apps?: An analysis based on the UTAUT-2 framework

This study aims to identify factors affecting tourists’ intention of using travel apps installed in their smartphones.,A questionnaire was developed largely based on the available scales in the published literature. A total of 389 participants responded to the survey, out of which 343 valid responses were obtained for statistical analysis.,Significant predictors of smartphone app usage intention included performance expectancy, social influence, price saving, perceived risk, perceived trust and prior usage habits. Usage behavior was largely mediated by usage intention, except in the case of habits. Contrary to the expectation, factors such as hedonistic motivation, facilitating conditions or effort expectancy did not impact usage intention or behavior.,The study gives app developers vital cues on tourist expectations from the apps. Oftentimes, developers tend to focus entirely on the material utility of their apps, neglecting every other factor influencing use. One particular implication is that despite tourism being a hedonistic activity, travel app usage behavior is not a hedonistic activity.,This is one of the few studies to examine adoption of smartphone travel apps in an emerging economy context by using extended unified theory of acceptance and use of technology framework with additional constructs.,本研究旨在于鉴定游客安装旅游手机APP的影响因素。,本论文采用问卷形式进行采样。在389人的样本中,本研究共获得343有效数据以用于数据分析。,经本研究鉴定,影响游客安装手机旅游APP的因素包括:性能预期、社会影响力、节约成本、感知风险、使用习惯。其中,使用动机为影响因素(使用习惯除外)是作用于使用行为的中间变量。与原本研究预期相左,诸如享乐主义的动机、便利条件、以及努力期望等因素对使用动机和使用行为并没有显著作用。,本研究结果对于APP开发商将如何达到游客期望有着至关重要的启迪。开发商往往会专注于APP的物理性能方面的开发,忽视了其他影响APP使用的因素作用。本论文其中一个重要的实际应用价值在于,虽然旅游业是享乐主义的活动,旅游APP的使用行为却大相径庭。,本研究是少数几篇以新型经济体为背景,采用延伸整合型科技接受模式(UTAUT2)为理论框架,研究旅游APP使用情况的论文。

[1]  David F. Larcker,et al.  Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics: , 1981 .

[2]  Deb Sledgianowski,et al.  Using Social Network Sites: The Effects of Playfulness, Critical Mass and Trust in a Hedonic Context , 2009, J. Comput. Inf. Syst..

[3]  Agnes L. DeFranco,et al.  It's about time: Revisiting UTAUT2 to examine consumers’ intentions to use NFC mobile payments in hotels , 2016 .

[4]  W. H. Rodgers Consumer behavior as risk taking; a new model and new hypotheses. , 1969 .

[5]  Alain Yee-Loong Chong,et al.  Predicting m-commerce adoption determinants: A neural network approach , 2013, Expert Syst. Appl..

[6]  Yogesh Kumar Dwivedi,et al.  Exploring consumer adoption of proximity mobile payments , 2014, Journal of Strategic Marketing.

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

[8]  Miin-Jye Wen,et al.  Online hotel booking: The effects of brand image, price, trust and value on purchase intentions , 2015 .

[9]  Yogesh Kumar Dwivedi,et al.  Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust , 2017, Int. J. Inf. Manag..

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

[11]  Tiago Oliveira,et al.  Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology , 2016, Comput. Hum. Behav..

[12]  Yogesh Kumar Dwivedi,et al.  Modeling Consumers’ Adoption Intentions of Remote Mobile Payments in the United Kingdom: Extending UTAUT with Innovativeness, Risk, and Trust , 2015 .

[13]  Sampo Satama,et al.  Consumer adoption of access-based consumption services - Case AirBnB , 2014 .

[14]  Robert L. Linn,et al.  Quantifying Unmeasured Variables , 1974 .

[15]  Charles D. Barrett Understanding Attitudes and Predicting Social Behavior , 1980 .

[16]  Stan Karanasios,et al.  A Classification of Mobile Tourism Applications , 2012 .

[17]  S. Forsythe,et al.  The role of product brand image and online store image on perceived risks and online purchase intentions for apparel , 2012 .

[18]  Paulo Duarte,et al.  An integrative model of consumers' intentions to purchase travel online , 2015 .

[19]  Xianhao Xu,et al.  Drivers and barriers in the acceptance of mobile payment in China , 2011, 2011 International Conference on E-Business and E-Government (ICEE).

[20]  M. A. Harris,et al.  Identifying factors influencing consumers' intent to install mobile applications , 2016, Int. J. Inf. Manag..

[21]  Jing Liu,et al.  An investigation of users’ continuance intention towards mobile banking in China , 2016 .

[22]  Hyunjin Lim,et al.  Investigating the Determinants of Mobile Learning Acceptance in Korea Using UTAUT2 , 2013, ICSLE.

[23]  María Ángeles Ramón-Jerónimo,et al.  Elderly and Internet Banking: An Application of UTAUT2 , 2015 .

[24]  Heikki Karjaluoto,et al.  Consumer Acceptance and Use of Instagram , 2016, 2016 49th Hawaii International Conference on System Sciences (HICSS).

[25]  Yeqing Bao,et al.  Exploring the Concept and Measurement of General Risk Aversion , 2005 .

[26]  Alok Mishra,et al.  Factors influencing consumer intention in social commerce adoption , 2017, Inf. Technol. People.

[27]  Kai-Yu Tang,et al.  Exploring the influential factors in continuance usage of mobile social Apps: Satisfaction, habit, and customer value perspectives , 2016, Telematics Informatics.

[28]  Veera Bhatiasevi An extended UTAUT model to explain the adoption of mobile banking , 2016 .

[29]  Garry Wei-Han Tan,et al.  Why consumers adopt mobile payment? A partial least squares structural equation modelling (PLS-SEM) approach , 2015, Int. J. Mob. Commun..

[30]  Tiago Oliveira,et al.  Understanding mobile banking: The unified theory of acceptance and use of technology combined with cultural moderators , 2015, Comput. Hum. Behav..

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

[32]  Sonja E. Pippin,et al.  Individual Taxpayer Intention to Use Tax Preparation Software: Examining Experience, Trust, and Perceived Risk , 2009 .

[33]  E. Carvajal-Trujillo,et al.  Online drivers of consumer purchase of website airline tickets , 2013 .

[34]  Tiago Oliveira,et al.  Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application , 2014, Int. J. Inf. Manag..

[35]  Rui Zhang,et al.  Mobile payment services adoption across time: An empirical study of the effects of behavioral beliefs, social influences, and personal traits , 2012, Comput. Hum. Behav..

[36]  Enrique Bonsón,et al.  Influence of trust and perceived value on the intention to purchase travel online: Integrating the effects of assurance on trust antecedents , 2015 .

[37]  Said S. Al-Gahtani,et al.  Modeling the electronic transactions acceptance using an extended technology acceptance model , 2011 .

[38]  Wann‐Yih Wu,et al.  An online shopping behavior model integrating personality traits, perceived risk, and technology acceptance , 2015 .

[39]  Gilbert A. Churchill A Paradigm for Developing Better Measures of Marketing Constructs , 1979 .

[40]  G. Mortimer,et al.  Investigating the factors influencing the adoption of m-banking: A cross cultural study , 2015 .

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

[42]  Alain Yee-Loong Chong,et al.  What Influences Travellers' Adoption of a Location-based Social Media Service for Their Travel Planning? , 2013, PACIS.

[43]  Wann‐Yih Wu,et al.  Revisiting Perceived Risk in the Context of Online Shopping: An Alternative Perspective of Decision-Making Styles , 2012 .

[44]  Suzanne Amaro,et al.  Pilgrims' Acceptance of a Mobile App for the Camino de Santiago , 2016, ENTER.

[45]  John Hulland,et al.  Use of partial least squares (PLS) in strategic management research: a review of four recent studies , 1999 .

[46]  Edward Shih-Tse Wang,et al.  Perceived quality factors of location-based apps on trust, perceived privacy risk, and continuous usage intention , 2017, Behav. Inf. Technol..

[47]  William R. Penuel,et al.  Measuring experiences of interest-related pursuits in connected learning , 2017 .

[48]  Izak Benbasat,et al.  Understanding Customer Trust in Agent-Mediated Electronic Commerce, Web-Mediated Electronic Commerce, and Traditional Commerce , 2004, Inf. Technol. Manag..

[49]  Ankit Kesharwani,et al.  The impact of trust and perceived risk on internet banking adoption in India : An extension of technology acceptance model , 2022 .

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

[51]  Deborah Compeau,et al.  Computer Self-Efficacy: Development of a Measure and Initial Test , 1995, MIS Q..

[52]  D. Fesenmaier,et al.  The Role of Smartphones in Mediating the Touristic Experience , 2012 .

[53]  Michael O’ Regan,et al.  Smartphone Adoption amongst Chinese Youth during Leisure-based Tourism: Challenges and Opportunities , 2015 .

[54]  Yogesh Kumar Dwivedi,et al.  Jordanian Consumers’ Adoption of Telebanking: Influence of Perceived Usefulness, Trust and Self-Efficacy , 2016 .

[55]  Garry Wei-Han Tan,et al.  NFC mobile credit card: The next frontier of mobile payment? , 2014, Telematics Informatics.

[56]  Il Im,et al.  An international comparison of technology adoption: Testing the UTAUT model , 2011, Inf. Manag..

[57]  A. Tarhini,et al.  Factors affecting the adoption of e-learning systems in Qatar and USA: Extending the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) , 2017, Educational Technology Research and Development.

[58]  Detmar W. Straub,et al.  Structural Equation Modeling and Regression: Guidelines for Research Practice , 2000, Commun. Assoc. Inf. Syst..

[59]  W. Riker,et al.  The Nature of Trust , 2017 .

[60]  Héctor San Martín,et al.  Influence of the user's psychological factors on the online purchase intention in rural tourism: integrating innovativeness to the UTAUT framework. , 2012 .

[61]  Z. Mao,et al.  Goodbye maps, hello apps? Exploring the influential determinants of travel app adoption , 2015 .

[62]  Geoffrey Mayoka Kituyi,et al.  Influence of performance expectancy on commercial farmers' intention to use mobile-based communication technologies for agricultural market information dissemination in Uganda , 2016, J. Syst. Inf. Technol..

[63]  Rajan Yadav,et al.  Behavioural intention to adopt mobile wallet: a developing country perspective , 2016 .

[64]  Ulrike Gretzel,et al.  Behavioural Impacts of Mobile Tour Guides , 2007, ENTER.

[65]  L. Stoel,et al.  Consumer e-shopping acceptance: Antecedents in a technology acceptance model , 2009 .

[66]  Yu-Lung Wu,et al.  The use of unified theory of acceptance and use of technology to confer the behavioral model of 3G mobile telecommunication users , 2008 .

[67]  YOU’VE GOT MOBILE ADS! YOUNG CONSUMERS’ RESPONSES TO MOBILE ADS WITH DIFFERENT TYPES OF INTERACTIVITY , 2013 .

[68]  Yeoh Sok Foon,et al.  Internet Banking Adoption in Kuala Lumpur: An Application of UTAUT Model , 2011 .

[69]  Hui-Min Lai,et al.  Why do teachers continue to use teaching blogs? The roles of perceived voluntariness and habit , 2015, Comput. Educ..

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

[71]  Keng-Boon Ooi,et al.  What catalyses mobile apps usage intention: an empirical analysis , 2015, Ind. Manag. Data Syst..

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

[73]  Tiago Oliveira,et al.  International Journal of Information Management , 2014 .

[74]  E. Carvajal-Trujillo,et al.  Online purchasing tickets for low cost carriers: An application of the unified theory of acceptance and use of technology (UTAUT) model , 2014 .

[75]  M. Lane Metabolic mechanisms of longevity: Caloric restriction in mammals and longevity mutations in Caenorhabditis elegans; a common pathway?? , 2000, Journal of the American Aging Association.

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

[77]  J. M. Jensen Shopping orientation and online travel shopping: The role of travel experience , 2012 .

[78]  Juan Fernando Tavera-Mesías,et al.  A comparative study of mobile messaging services acceptance to participate in television programmes , 2010 .

[79]  Tao Zhou,et al.  Understanding users' initial trust in mobile banking: An elaboration likelihood perspective , 2012, Comput. Hum. Behav..

[80]  Faizan Ali,et al.  Factors affecting acceptance & use of ReWIND: Validating the extended unified theory of acceptance and use of technology , 2015, Interact. Technol. Smart Educ..

[81]  E. Tan,et al.  Behavioural intention to adopt mobile banking among the millennial generation , 2016 .

[82]  Mehmet Haluk Koksal The intentions of Lebanese consumers to adopt mobile banking , 2016 .

[83]  Huda Hussein Mohammad Jawad,et al.  Applying Utaut to Evaluate the Acceptance of Mobile Learning in Higher Education in Iraq , 2015 .

[84]  Ángel Herrero Crespo,et al.  Explaining the adoption of social networks sites for sharing user-generated content: A revision of the UTAUT2 , 2017, Comput. Hum. Behav..

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

[86]  I. Wen Factors affecting the online travel buying decision: a review , 2009 .

[87]  Chao-Min Chiu,et al.  Antecedents of trust in online auctions , 2010, Electron. Commer. Res. Appl..

[88]  R. Batra,et al.  An Extended Model of Preference Formation between Global and Local Brands: The Roles of Identity Expressiveness, Trust, and Affect , 2015 .