Winning Back Technology Disadopters: Testing a Technology Readoption Model in the Context of Mobile Internet Services

Abstract We investigate how information and communication technology (ICT) service providers can win back disadopters of an earlier generation of technology when a new technology generation appears on the market. Integrating prior research on consumers’ defensive bias, knowledge accessibility, diffusion of innovation, and technology adoption, we developed a model to predict disadopters’ intention to readopt a technology. We postulate that the primary reason for disadoption moderates the impacts of both the drivers of readoption (perceived superiority, effort expectancy, price value of the new technology generation, and social influence) and the characteristics of prior usage experience with the disadopted earlier technology generation (duration of disadoption, tenure with the old generation, and usage intensity of the old generation) on readoption intention. We tested our technology readoption model in the context of mobile Internet services. Data were collected from 274 disadopters of an earlier generation of mobile Internet services before the advent of the third generation (3G) technology. The results supported most of our hypotheses. These findings have significant theoretical and practical implications, especially for firms interested in winning back technology disadopters. Finally, we present an agenda for further research into technology readoption.

[1]  Peter R. Darke,et al.  The Defensive Consumer: Advertising Deception, Defensive Processing, and Distrust , 2007 .

[2]  Viswanath Venkatesh,et al.  Where To Go From Here? Thoughts on Future Directions for Research on Individual-Level Technology Adoption with a Focus on Decision Making , 2006, Decis. Sci..

[3]  Bernard C. Y. Tan,et al.  Group Polarization and Computer-Mediated Communication: Effects of Communication Cues, Social Presence, and Anonymity , 2002, Inf. Syst. Res..

[4]  Peter R. Darke,et al.  Great expectations and broken promises: misleading claims, product failure, expectancy disconfirmation and consumer distrust , 2010 .

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

[6]  Katherine N. Lemon,et al.  What Is the True Value of a Lost Customer? , 2003 .

[7]  Wendy K. Smith,et al.  A Structural Approach to Assessing Innovation: Construct Development of Innovation Locus, Type, and Characteristics , 2002, Manag. Sci..

[8]  Geoffrey A. Moore.  Crossing the chasm : marketing and selling high-tech products to mainstream customers , 1999 .

[9]  Viswanath Venkatesh,et al.  A Longitudinal Investigation of Personal Computers in Homes: Adoption Determinants and Emerging Challenges , 2001, MIS Q..

[10]  Anol Bhattacherjee,et al.  Understanding Changes in Belief and Attitude Toward Information Technology Usage: A Theoretical Model and Longitudinal Test , 2004, MIS Q..

[11]  Viswanath Venkatesh,et al.  Predicting Collaboration Technology Use: Integrating Technology Adoption and Collaboration Research , 2010, J. Manag. Inf. Syst..

[12]  Straub,et al.  Editor's Comments: An Update and Extension to SEM Guidelines for Administrative and Social Science Research , 2011 .

[13]  Paul Jen-Hwa Hu,et al.  A Multilevel Approach to Examine Employees’ Loyal Use of ERP Systems in Organizations , 2015, J. Manag. Inf. Syst..

[14]  Venkataraman Ramesh,et al.  Web and Wireless Site Usability: Understanding Differences and Modeling Use , 2006, MIS Q..

[15]  L. G. Tornatzky,et al.  Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings , 1982, IEEE Transactions on Engineering Management.

[16]  Gurpreet Dhillon,et al.  User Acceptance of Agile Information Systems: A Model and Empirical Test , 2011, J. Manag. Inf. Syst..

[17]  Detmar W. Straub,et al.  An Update and Extension to SEM Guidelines for Admnistrative and Social Science Research , 2011 .

[18]  R. Staelin,et al.  The Quality Double Whammy , 1999 .

[19]  Viswanath Venkatesh,et al.  Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead , 2016, J. Assoc. Inf. Syst..

[20]  Naresh K. Malhotra,et al.  Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research , 2006, Manag. Sci..

[21]  J. J. Po-An Hsieh,et al.  ScholarWorks @ Georgia State University , 2016 .

[22]  Nicholas H. Roberts,et al.  Using Information Systems to Sense Opportunities for Innovation: Integrating Postadoptive Use Behaviors with the Dynamic Managerial Capability Perspective , 2016, J. Manag. Inf. Syst..

[23]  Kar Yan Tam,et al.  Understanding Continued Information Technology Usage Behavior: A Comparison of Three Models in the Context of Mobile Internet , 2006, Decis. Support Syst..

[24]  Pete Loshin.  The Road to Next Generation , 2004 .

[25]  Curtis P. Haugtvedt,et al.  The Role of Knowledge Accessibility in Cognition and Behavior: Implications for Consumer Information Processing: Robert S. Wyer, Jr. , 2018 .

[26]  R. Nickerson.  Confirmation Bias: A Ubiquitous Phenomenon in Many Guises , 1998 .

[27]  Joseph S. Valacich,et al.  Technology Adoption by Groups: A Valence Perspective , 2005, J. Assoc. Inf. Syst..

[28]  Fred D. Davis,et al.  Dead Or Alive? The Development, Trajectory And Future Of Technology Adoption Research , 2007, J. Assoc. Inf. Syst..

[29]  Hock-Hai Teo,et al.  Effects of environmental uncertainty on organizational intention to adopt distributed work arrangements , 2004, IEEE Transactions on Engineering Management.

[30]  Eitan Muller,et al.  The Diffusion of Services , 2009 .

[31]  William B. Dodds,et al.  Effects of Price, Brand, and Store Information on Buyers’ Product Evaluations , 1991 .

[32]  A. Markman,et al.  Entrenched Knowledge Structures and Consumer Response to New Products , 2001 .

[33]  W. S. Rholes,et al.  Category accessibility and impression formation , 1977 .

[34]  A. David Redish,et al.  Memory and decision making , 2015, Neurobiology of Learning and Memory.

[35]  Kar Yan Tam,et al.  Understanding the behavior of mobile data services consumers , 2008, Inf. Syst. Frontiers.

[36]  Viswanath Venkatesh,et al.  Consumer Acceptance of Personal Information and Communication Technology Services , 2011, IEEE Transactions on Engineering Management.

[37]  Gordon W. Cheung,et al.  Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance , 2002 .

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

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

[40]  Karl G. Jöreskog,et al.  Lisrel 8: Structural Equation Modeling With the Simplis Command Language , 1993 .

[41]  Kar Yan Tam,et al.  Understanding the Adoption of Multipurpose Information Appliances: The Case of Mobile Data Services , 2006, Inf. Syst. Res..

[42]  Ana Perez-Villalba.  R.H. Kluwe G. , 2005, Journal of Chemical Neuroanatomy.

[43]  Anol Bhattacherjee,et al.  Understanding Post-Adoption Behavior in the Context of Online Services , 1998, Inf. Syst. Res..

[44]  Tracy Ann Sykes,et al.  Impacts of Information and Communication Technology Implementations on Employees' Jobs in Service Organizations in India: A Multi‐Method Longitudinal Field Study , 2010 .

[45]  F. Bookstein,et al.  Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory , 1982 .

[46]  Massimo Magni,et al.  What's the Weather Like? The Effect of Team Learning Climate, Empowerment Climate, and Gender on Individuals' Technology Exploration and Use , 2012, J. Manag. Inf. Syst..

[47]  Anol Bhattacherjee,et al.  Understanding Information Systems Continuance: An Expectation-Confirmation Model , 2001, MIS Q..

[48]  Kar Yan Tam,et al.  The Effects of Post-Adoption Beliefs on the Expectation-Confirmation Model for Information Technology Continuance , 2006, Int. J. Hum. Comput. Stud..

[49]  Weiquan Wang,et al.  The Determinants and Impacts of Aesthetics in Users’ First Interaction with Websites , 2016, J. Manag. Inf. Syst..

[50]  Qing Hu,et al.  Assimilation of Enterprise Systems: The Effect of Institutional Pressures and the Mediating Role of Top Management , 2007, MIS Q..

[51]  Viswanath Venkatesh,et al.  Effects of ICT Service Innovation and Complementary Strategies on Brand Equity and Customer Loyalty in a Consumer Technology Market , 2014, Inf. Syst. Res..

[52]  Alladi Venkatesh,et al.  Beyond Adoption: Development and Application of a Use-Diffusion Model , 2004 .

[53]  Shuang Xu,et al.  Moderating Effects of Task Type on Wireless Technology Acceptance , 2005, J. Manag. Inf. Syst..

[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]  J. Bargh,et al.  Nature of Priming Effects on Categorization , 1985 .

[56]  Wynne W. Chin.  Issues and Opinion on Structural Equation Modeling by , 2009 .

[57]  Robert S. Wyer,et al.  The Role of Information Retrieval and Conditional Inference Processes in Belief Formation and Change , 1980 .

[58]  G. Tellis,et al.  Will It Ever Fly? Modeling the Takeoff of Really New Consumer Durables , 1997 .

[59]  Katherine N. Lemon,et al.  A Dynamic Model of Customers’ Usage of Services: Usage as an Antecedent and Consequence of Satisfaction , 1999 .

[60]  Jae-Hyeon Ahn,et al.  Channel Capabilities, Product Characteristics, and Impacts of Mobile Channel Introduction , 2013 .

[61]  Viswanath Venkatesh,et al.  E XPECTATION D ISCONFIRMATION AND T ECHNOLOGY A DOPTION : P OLYNOMIAL M ODELING AND R ESPONSE S URFACE A NALYSIS 1 , 2010 .

[62]  P. Nedungadi.  Recall and Consumer Consideration Sets: Influencing Choice without Altering Brand Evaluations , 1990 .

[63]  Susan M. Keaveney,et al.  Customer Switching Behavior in Service Industries: An Exploratory Study , 1995 .

[64]  A. Markman,et al.  “What Is It?” Categorization Flexibility and Consumers' Responses to Really New Products , 2001 .

[65]  Joseph S. Valacich,et al.  The Behavioral Roots of Information Systems Security: Exploring Key Factors Related to Unethical IT Use , 2015, J. Manag. Inf. Syst..

[66]  Hoon Seok Choi,et al.  Effects of Freemium Strategy in the Mobile App Market: An Empirical Study of Google Play , 2014, J. Manag. Inf. Syst..

[67]  John G. Lynch,et al.  Memory and Attentional Factors in Consumer Choice: Concepts and Research Methods , 1982 .

[68]  Paul Jen-Hwa Hu,et al.  Extending the two‐stage information systems continuance model: incorporating UTAUT predictors and the role of context , 2011, Inf. Syst. J..

[69]  Ryad Titah,et al.  Explicit and Implicit Antecedents of Users' Behavioral Beliefs in Information Systems: A Neuropsychological Investigation , 2014, J. Manag. Inf. Syst..

[70]  Dennis F. Galletta,et al.  Lost in Cyberspace: The Impact of Information Scent and Time Constraints on Stress, Performance, and Attitudes Online , 2015, J. Manag. Inf. Syst..

[71]  Jaishankar Ganesh,et al.  Understanding the Customer Base of Service Providers: An Examination of the Differences between Switchers and Stayers , 2000, Journal of Marketing.

[72]  Massimo Magni,et al.  Everybody Needs Somebody: The Influence of Team Network Structure on Information Technology Use , 2012, J. Manag. Inf. Syst..

[73]  J. Christopher Westland.  Valuing Technology: The New Science of Wealth in the Knowledge Economy , 2002 .

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

[75]  James Y. L. Thong,et al.  An Integrated Model of Information Systems Adoption in Small Businesses , 1999, J. Manag. Inf. Syst..

[76]  Richard W. Olshavsky,et al.  An Exploratory Study of the Innovation Evaluation Process , 1996 .

[77]  Scott B. MacKenzie,et al.  Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.

[78]  Bernd Stauss,et al.  Regaining Service Customers , 1999 .

[79]  Lawrence W. Barsalou,et al.  Categorization theory and research in consumer psychology: category representation and category-based inference , 2008 .

[80]  Robert C. Blattberg,et al.  Recapturing Lost Customers , 2004 .