Examining the Antecedents and Consequences of Customers’ Trust Toward Mobile Retail Apps in India

Abstract Mobile applications, commonly called ‘apps’, have become all-pervading nowadays, reducing considerably manual Labor and the time required to complete a transaction. However, despite this convenience, their acceptance and adoption across the social spectrum is low. The authors proposed and tested a model consisting of various antecedents of trust related to (i) the consumer (his/her previous experience and propensity to adopt); (ii) apps (their perceived usefulness, ease of use, and quality); (iii) finally, the organization itself (its reputation and offline presence). Data from 567 respondents using such apps were gathered and examined through structural equation modeling (SEM) techniques. The results confirmed that all the above antecedents (except the consumers’ propensity to adopt) significantly affect their trust toward retail apps. There is also a direct and significant influence of perceived trust and risk predicting the consumer’s attitude, and intention toward mobile retail apps. Based on the understanding and insights culled from this study, retail organizations (having their respective apps), their associate service providers, and policy makers at large, would be able to form relevant strategies and policies, which in turn would enhance the adoption of mobile apps in India.

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

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

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

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

[5]  Charles F. Hofacker,et al.  Measuring Consumer Innovativeness , 1991 .

[6]  Steven A. Taylor,et al.  Measuring Service Quality: A Reexamination and Extension , 1992 .

[7]  P. Herbig,et al.  A model of reputation building and destruction , 1994 .

[8]  P. A. Dabholkar Consumer evaluations of new technology-based self-service options: An investigation of alternative models of service quality , 1996 .

[9]  Gerrard Macintosh,et al.  Retail relationships and store loyalty: A multi-level perspective , 1997 .

[10]  Joseph P. Cannon,et al.  Understanding the Influence of National Culture on the Development of Trust , 1998 .

[11]  Qimei Chen,et al.  Attitude Toward the Site , 1999 .

[12]  Detmar W. Straub,et al.  Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs , 1999, MIS Q..

[13]  D. Gefen,et al.  E-commerce: the role of familiarity and trust , 2000 .

[14]  P. A. Dabholkar,et al.  A comprehensive framework for service quality: an investigation of critical conceptual and measurement issues through a longitudinal study , 2000 .

[15]  Christy M. K. Cheung,et al.  Trust in Internet Shopping: A Proposed Model and Measurement Instrument , 2000 .

[16]  Paul Resnick,et al.  Reputation systems , 2000, CACM.

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

[18]  Matthew K. O. Lee,et al.  Trust in Internet Shopping: Instrument Development and Validation through Classical and Modern Approaches , 2001, J. Glob. Inf. Manag..

[19]  Norman L. Chervany,et al.  What Trust Means in E-Commerce Customer Relationships: An Interdisciplinary Conceptual Typology , 2001, Int. J. Electron. Commer..

[20]  Mary Ann Eastlick,et al.  An online prepurchase intentions model: The role of intention to search , 2001 .

[21]  J. Dupree Techno‐Ready Marketing: How and Why Your Customers Adopt Technology , 2002 .

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

[23]  Charles J. Kacmar,et al.  The impact of initial consumer trust on intentions to transact with a web site: a trust building model , 2002, J. Strateg. Inf. Syst..

[24]  Diane M. Strong,et al.  AIMQ: a methodology for information quality assessment , 2002, Inf. Manag..

[25]  Ingoo Han,et al.  Effect of trust on customer acceptance of Internet banking , 2002, Electron. Commer. Res. Appl..

[26]  David Gefen,et al.  Managing User Trust in B2C e-Services , 2003 .

[27]  Han Yi,et al.  Trust and e-commerce: a study of consumer perceptions , 2003, Electron. Commer. Res. Appl..

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

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

[30]  P. Pavlou,et al.  Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model , 2003 .

[31]  Arkalgud Ramaprasad,et al.  Managing the transition to bricks and clicks , 2003, CACM.

[32]  GefenDavid,et al.  Trust and TAM in online shopping , 2003 .

[33]  H DeloneWilliam,et al.  The DeLone and McLean Model of Information Systems Success , 2003 .

[34]  Ephraim R. McLean,et al.  The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..

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

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

[37]  Lei-da Chen,et al.  Technology Adaptation in E-Commerce: Key Determinants of Virtual Stores Acceptance , 2004 .

[38]  Nikos Tsikriktsis A Technology Readiness-Based Taxonomy of Customers , 2004 .

[39]  Marios Koufaris,et al.  The development of initial trust in an online company by new customers , 2004, Inf. Manag..

[40]  Elaine Toms,et al.  Measuring user perceptions of Web site reputation , 2004, Inf. Process. Manag..

[41]  Barbara H Wixom,et al.  A Theoretical Integration of User Satisfaction and Technology Acceptance , 2005, Inf. Syst. Res..

[42]  M. Meuter,et al.  Self‐service technology adoption: comparing three technologies , 2005 .

[43]  Donnavieve N. Smith,et al.  Online Peer and Editorial Recommendations, Trust, and Choice in Virtual Markets , 2005 .

[44]  C. Carver,et al.  Effects of optimism on psychological and physical well-being: Theoretical overview and empirical update , 1992, Cognitive Therapy and Research.

[45]  Ing-Long Wu,et al.  An extension of Trust and TAM model with TPB in the initial adoption of on-line tax: An empirical study , 2005, Int. J. Hum. Comput. Stud..

[46]  Paul A. Pavlou,et al.  Cultural Diversity and Trust in IT Adoption: A Comparison of Potential e-Voters in the USA and South Africa , 2005, J. Glob. Inf. Manag..

[47]  H. Winklhofer,et al.  Applying the technology acceptance model to the online retailing of financial services , 2006 .

[48]  R. Gurrea,et al.  The role played by perceived usability, satisfaction and consumer trust on website loyalty , 2006, Inf. Manag..

[49]  Pin Luarn,et al.  Predicting consumer intention to use mobile service , 2006, Inf. Syst. J..

[50]  Miriam J. Metzger Effects of Site, Vendor, and Consumer Characteristics on Web Site Trust and Disclosure , 2006, Commun. Res..

[51]  Hans H. Bauer,et al.  eTransQual: A Transaction Process-Based Approach for Capturing Service Quality in Online Shopping , 2006 .

[52]  K. Ibeh,et al.  Consumer Trust in the Online Travel Marketplace , 2006 .

[53]  David Gefen,et al.  On the Need to Include National Culture as a Central Issue in E-Commerce Trust Beliefs , 2006, J. Glob. Inf. Manag..

[54]  Sandra Streukens,et al.  The effect of service employees' technology readiness on technology acceptance , 2007, Inf. Manag..

[55]  Thompson S. H. Teo,et al.  Consumer trust in e-commerce in the United States, Singapore and China , 2007 .

[56]  Frank Bannister,et al.  Consumer trust in Internet shopping in Ireland: towards the development of a more effective trust measurement instrument , 2007, J. Inf. Technol..

[57]  Francisco Muñoz-Leiva,et al.  Web Acceptance Model (WAM): Moderating effects of user experience , 2007, Inf. Manag..

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

[59]  Elizabeth Sillence,et al.  Going online for health advice: Changes in usage and trust practices over the last five years , 2007, Interact. Comput..

[60]  Huei Huang Kuan,et al.  Trust transference in brick and click retailers: An investigation of the before-online-visit phase , 2007, Inf. Manag..

[61]  Carlos Flavián,et al.  The role of security, privacy, usability and reputation in the development of online banking , 2007, Online Inf. Rev..

[62]  Peter R. Harris,et al.  How do patients evaluate and make use of online health information? , 2007, Social science & medicine.

[63]  Audun Jøsang,et al.  A survey of trust and reputation systems for online service provision , 2007, Decis. Support Syst..

[64]  Ayman Abuhamdieh,et al.  Factors Influencing Trust in Online Consumer-to-Consumer (C2C) Transactions , 2008 .

[65]  H. Celik WHAT DETERMINES TURKISH CUSTOMERS ACCEPTANCE OF INTERNET BANKING , 2008 .

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

[67]  Chang Liu,et al.  Determinants of accepting wireless mobile data services in China , 2008, Inf. Manag..

[68]  Su-Chao Chang,et al.  An extension of trust and TAM model with IDT in the adoption of the electronic logistics information system in HIS in the medical industry , 2008, Int. J. Medical Informatics.

[69]  Viswanath Venkatesh,et al.  Technology Acceptance Model 3 and a Research Agenda on Interventions , 2008, Decis. Sci..

[70]  T. Kim,et al.  Modeling roles of subjective norms and eTrust in customers' acceptance of airline B2C eCommerce websites. , 2009 .

[71]  Rolph E. Anderson,et al.  Multivariate Data Analysis (7th ed. , 2009 .

[72]  Brand Experience: What is It? How is it Measured? Does it Affect Loyalty? , 2009 .

[73]  Chiao-Chen Chang,et al.  Library self-service: Predicting user intentions related to self-issue and return systems , 2009, Electron. Libr..

[74]  S. Lennon,et al.  What induces online loyalty? Online versus offline brand images , 2009 .

[75]  G. Tellis,et al.  Global Consumer Innovativeness: Cross-Country Differences and Demographic Commonalities , 2009 .

[76]  Enrique Bigné-Alcañiz,et al.  Why Some Internet Users Don't Buy Air Tickets Online , 2010, ENTER.

[77]  E. Bigné,et al.  Why Some Internet Users Don’t Buy Air Tickets Online , 2010, ENTER 2010.

[78]  Narasimhaiah Gorla,et al.  Organizational impact of system quality, information quality, and service quality , 2010, J. Strateg. Inf. Syst..

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

[80]  Ardion Beldad,et al.  How shall I trust the faceless and the intangible? A literature review on the antecedents of online trust , 2010, Comput. Hum. Behav..

[81]  C. Dennis,et al.  Internet banking acceptance model: Cross-market examination , 2010 .

[82]  Namho Chung,et al.  The effect of perceived trust on electronic commerce: Shopping online for tourism products and services in South Korea , 2011 .

[83]  Adriana Zait,et al.  Methods For Testing Discriminant Validity , 2011 .

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

[85]  Sumeet Gupta,et al.  Which is more important in Internet shopping, perceived price or trust? , 2012, Electron. Commer. Res. Appl..

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

[87]  Woojin Lee,et al.  The effect of Facebook users’ arousal and valence on intention to go to the festival: Applying an extension of the technology acceptance model , 2012 .

[88]  P. Patterson,et al.  Customer choice of self‐service technology: the roles of situational influences and past experience , 2012 .

[89]  Yoonmo Sang,et al.  Exploring Koreans' smartphone usage: An integrated model of the technology acceptance model and uses and gratifications theory , 2013, Comput. Hum. Behav..

[90]  Izak Benbasat,et al.  Integrating Service Quality with System and Information Quality: An Empirical Test in the E-Service Context , 2013, MIS Q..

[91]  Daniel S. Bogaard,et al.  The changing face of information technology , 2013, SIGITE Conference.

[92]  Julian K. Ayeh,et al.  “Do We Believe in TripAdvisor?” Examining Credibility Perceptions and Online Travelers’ Attitude toward Using User-Generated Content , 2013 .

[93]  S. Heidenreich,et al.  The Willingness Of A Customer To Co-Create Innovative, Technology-Based Services: Conceptualisation And Measurement , 2013 .

[94]  Michael Workman,et al.  New media and the changing face of information technology use: The importance of task pursuit, social influence, and experience , 2014, Comput. Hum. Behav..

[95]  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 .

[96]  Li-Wen Chuang,et al.  Understanding online shopping intention: the roles of four types of trust and their antecedents , 2014, Internet Res..

[97]  Z. Rahman,et al.  Perspectives and Dimensions of Consumer Innovativeness: A Literature Review and Future Agenda , 2014 .

[98]  Abdul R. Ashraf,et al.  The Application of the Technology Acceptance Model under Different Cultural Contexts: The Case of Online Shopping Adoption , 2014 .

[99]  Z. Rahman,et al.  An alternative model of self-service retail technology adoption , 2015 .

[100]  Z. Rahman,et al.  Tourist behaviour towards self-service hotel technology adoption: Trust and subjective norm as key antecedents , 2015 .

[101]  Z. Rahman,et al.  Innovation adoption across self-service banking technologies in India , 2015 .

[102]  Raffaele Filieri,et al.  Why do travelers trust TripAdvisor? Antecedents of trust towards consumer-generated media and its influence on recommendation adoption and word of mouth , 2015 .

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

[104]  Ibrahim Alnawas,et al.  The effect of benefits generated from interacting with branded mobile apps on consumer satisfaction and purchase intentions , 2016 .

[105]  G. Tuteja,et al.  Consumer Trust in Internet Shopping , 2016 .

[106]  Christophe Bezes Comparing online and in-store risks in multichannel shopping , 2016 .

[107]  Hannah R. Marriott,et al.  Exploring consumers perceived risk and trust for mobile shopping: A theoretical framework and empirical study , 2018 .

[108]  J. Elms,et al.  Exploring the adoption of self-service checkouts and the associated social obligations of shopping practices , 2018 .

[109]  Prageet Aeron,et al.  Revisiting Trust toward E-Retailers among Indian Online Consumers , 2019, Journal of Internet Commerce.

[110]  J. Nunnally,et al.  Psychometric Theory , 2020, Encyclopedia of Behavioral Medicine.