A model of acceptance of augmented-reality interactive technology: the moderating role of cognitive innovativeness

This research integrates the technology acceptance model and concepts of experiential value to investigate factors that affect sustainable relationship behavior toward using augmented-reality interactive technology (ARIT). In line with consumers’ innovativeness, this research discovers that consumers’ level of cognitive innovativeness affects their sustainable relationship behaviors toward using ARIT. Online consumers with high cognitive innovativeness put more emphasis on usefulness, aesthetics, and service excellence presented by ARIT; in contrast, those with low cognitive innovativeness focus on playfulness and ease of use presented by ARIT.

[1]  K. W. Mossholder,et al.  Relationships between Bases of Power and Work Reactions: The Mediational Role of Procedural Justice , 1998 .

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

[3]  Joann Peck,et al.  In Search of a Surrogate for Touch: The Effect of Haptic Imagery on Perceived Ownership , 2013 .

[4]  H. Ehrsson,et al.  Moving a Rubber Hand that Feels Like Your Own: A Dissociation of Ownership and Agency , 2012, Front. Hum. Neurosci..

[5]  Bruce H. Thomas,et al.  Emerging technologies of augmented reality - interfaces and design , 2006 .

[6]  Frank Biocca,et al.  Comparing Differences in Presence during Social Interaction in Augmented Reality versus Virtual Reality Environments: An Exploratory Study , 2004 .

[7]  Kieran Mathieson,et al.  Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior , 1991, Inf. Syst. Res..

[8]  José Antonio Rosa,et al.  Consumer creativity: Effects of gender and variation in the richness of vision and touch inputs , 2014 .

[9]  Stuart J. Barnes,et al.  Virtual item purchase behavior in virtual worlds: an exploratory investigation , 2009, Electron. Commer. Res..

[10]  Ronald Azuma,et al.  A Survey of Augmented Reality , 1997, Presence: Teleoperators & Virtual Environments.

[11]  J. Phelps,et al.  Privacy Concerns and Consumer Willingness to Provide Personal Information , 2000 .

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

[13]  Ajay K. Kohli,et al.  Relational behavior in business markets : Iplications for relationship management , 1995 .

[14]  Hara Prasad Das,et al.  Telemanipulator and Telepresence Technologies , 1995 .

[15]  Linda L. Price,et al.  Differentiating between cognitive and sensory innovativeness: Concepts, measurement, and implications , 1990 .

[16]  B. Joseph Pine,et al.  The Experience Economy , 1999 .

[17]  Jonathan Freeman,et al.  A Cross-Media Presence Questionnaire: The ITC-Sense of Presence Inventory , 2001, Presence: Teleoperators & Virtual Environments.

[18]  K. Hiraki,et al.  Rubber Hand Illusion under Delayed Visual Feedback , 2009, PloS one.

[19]  Matti Rossi,et al.  Mobile Games: Analyzing the Needs and Values of the Consumers , 2010 .

[20]  Greg W. Marshall,et al.  Sales force use of technology: antecedents to technology acceptance , 2005 .

[21]  Rick Kazman,et al.  Investigating antecedents of technology acceptance of initial eCRM users beyond generation X and the role of self-construal , 2007, Electron. Commer. Res..

[22]  Jochen Wirtz,et al.  Regulatory Focus Theory, Trust, and Privacy Concern , 2009 .

[23]  Jiyeon Kim,et al.  Sensory enabling technology acceptance model (SE‐TAM): A multiple‐group structural model comparison , 2008 .

[24]  Fumio Kishino,et al.  Augmented reality: a class of displays on the reality-virtuality continuum , 1995, Other Conferences.

[25]  Ching-Jui Keng,et al.  The effects of sequential combinations of virtual experience, direct experience, and indirect experience: the moderating roles of need for touch and product involvement , 2012, Electron. Commer. Res..

[26]  Jacob Cohen.  Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[27]  Ronald M. Lee,et al.  A logic programming framework for planning and simulation , 1986 .

[28]  Kenneth A. Bollen,et al.  Structural Equations with Latent Variables , 1989 .

[29]  Jean-Claude Usunier,et al.  Cognitive, demographic, and situational determinants of service customer preference for personnel-in-contact over self-service technology , 2007 .

[30]  V. Zeithaml.  Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence: , 1988 .

[31]  Anastasis D. Petrou.  Review of “Persuasive technology: Using computers to change what we think and do by B. J. Fogg” Morgan Kaufmann, 2003 , 2003 .

[32]  Dennis L. Hoffman,et al.  Marketing in Hypermedia Computer-Mediated Environments : Conceptual Foundations 1 ) , 1998 .

[33]  B. J. Fogg,et al.  Persuasive technology: using computers to change what we think and do , 2002, UBIQ.

[34]  P. J. Sher,et al.  Integrating technology readiness into technology acceptance: The TRAM model , 2007 .

[35]  Feng Li,et al.  Retail spatial evolution: paving the way from traditional to metaverse retailing , 2009, Electron. Commer. Res..

[36]  John C. McCarthy,et al.  Technology as experience , 2004, INTR.

[37]  Ching-Jui Keng,et al.  The acceptance of blogs: using a customer experiential value perspective , 2009, Internet Res..

[38]  Lakshmi Goel,et al.  If you build it will they come?—An empirical investigation of consumer perceptions and strategy in virtual worlds , 2009, Electron. Commer. Res..

[39]  J. Steenkamp,et al.  Assessing Measurement Invariance in Cross-National Consumer Research , 1998 .

[40]  Robert C. Blattberg,et al.  Customer Equity: Building and Man-aging Relationships as Valuable Assets , 2001 .

[41]  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.

[42]  Stephen S. Tax,et al.  The effects of distributive, procedural, and interactional justice on postcomplaint behavior , 1997 .

[43]  Christer Carlsson,et al.  Factors driving the adoption of m-learning: An empirical study , 2010, Comput. Educ..

[44]  P. Pavlou,et al.  Interactive Technologies and Retailing Strategy: A Review, Conceptual Framework and Future Research Directions , 2010 .

[45]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..

[46]  D. W. F. van Krevelen,et al.  A Survey of Augmented Reality Technologies, Applications and Limitations , 2010, Int. J. Virtual Real..

[47]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[48]  Richard L. Oliver,et al.  2 Value as excellence in the consumption experience , 1999 .

[49]  S. Forsythe,et al.  Adoption of Virtual Try-on technology for online apparel shopping , 2008 .

[50]  Chin-Lung Hsu,et al.  Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation , 2008, Inf. Manag..

[51]  G. Zinkhan,et al.  Consumer Perceptions of the World Wide Web: an Exploratory Study Using Focus Group Interviews , 1998 .

[52]  P. Lachenbruch.  Statistical Power Analysis for the Behavioral Sciences (2nd ed.) , 1989 .

[53]  Karl G. Jöreskog,et al.  LISREL 7: A guide to the program and applications , 1988 .

[54]  Viswanath Venkatesh,et al.  Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior , 2000, MIS Q..

[55]  P. M. Podsakoff,et al.  Self-Reports in Organizational Research: Problems and Prospects , 1986 .

[56]  A. Fiore,et al.  Effect of image interactivity technology on consumer responses toward the online retailer , 2005 .

[57]  Norazah Mohd Suki.  Consumer shopping behaviour on the Internet: insights from Malaysia , 2013, Electron. Commer. Res..

[58]  Lorena Blasco-Arcas,et al.  Adopting television as a new channel for e-commerce. The influence of interactive technologies on consumer behavior , 2013, Electronic Commerce Research.

[59]  Nils Urbach,et al.  Structural Equation Modeling in Information Systems Research Using Partial Least Squares , 2010 .

[60]  Hsi-Peng Lu,et al.  Exploring the emotional, aesthetic, and ergonomic facets of innovative product on fashion technology acceptance model , 2009, Behav. Inf. Technol..

[61]  Jyh-Shen Chiou,et al.  The antecedents of online financial service adoption: the impact of physical banking services on Internet banking acceptance , 2012, Behav. Inf. Technol..

[62]  D. W. Barclay,et al.  The Effects of Organizational Differences and Trust on the Effectiveness of Selling Partner Relationships , 1997 .

[63]  Edward E. Rigdon,et al.  Experiential value: Conceptualization, measurement and application in the catalog and Internet shopping environment. , 2001 .

[64]  Jen-Her Wu,et al.  What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model , 2005, Inf. Manag..

[65]  George A. Marcoulides,et al.  Modern methods for business research , 1998 .

[66]  Soyeon Shim,et al.  Consumer intention to utilize electronic shopping , 1990 .

[67]  M. Holbrook.  The Nature of Customer Value: An Axiology of Services in the Consumption Experience , 1994 .

[68]  M. Holbrook.  Consumer Value: A Framework for Analysis and Research , 1999 .

[69]  Robert A. Peterson,et al.  Relationship marketing and the consumer , 1995 .

[70]  Venkatesh,et al.  A Longitudinal Field Investigation of Gender Differences in Individual Technology Adoption Decision-Making Processes. , 2000, Organizational behavior and human decision processes.

[71]  Bruce H. Thomas,et al.  Emerging Technologies of Augmented Reality , 2006 .

[72]  R. Sitgreaves.  Psychometric theory (2nd ed.). , 1979 .

[73]  Georgios A. Keliris,et al.  Introduction to Research Topic – Binocular Rivalry: A Gateway to Studying Consciousness , 2012, Front. Hum. Neurosci..

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

[75]  Yvonne Rogers,et al.  Interaction Design: Beyond Human-Computer Interaction , 2002 .

[76]  Molly Eckman,et al.  Toward a Model of the In-Store Purchase Decision Process: Consumer Use of Criteria for Evaluating Women's Apparel , 1990 .

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

[78]  Elizabeth C. Hirschman,et al.  Experience seeking: A subjectivist perspective of consumption , 1984 .

[79]  Judy Chuan-Chuan Lin,et al.  Towards an understanding of the behavioural intention to use a web site , 2000, Int. J. Inf. Manag..

[80]  Sangphet Hanvanich,et al.  Does Customer Knowledge Affect How Loyalty is Formed? , 2002 .

[81]  Anol Bhattacherjee,et al.  Explaining information technology usage: A test of competing models☆ , 2008 .

[82]  E. Rogers.  Diffusion of Innovations , 1962 .

[83]  R. Bagozzi,et al.  An attitudinal model of technology-based self-service: Moderating effects of consumer traits and situational factors , 2002 .

[84]  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..