Pacific Asia Conference on Information Systems ( PACIS ) 6-18-2013 From Structural Assurances to Trusting Beliefs : Validating Persuasion Principles in the Context of Online Shopping

The topic of shopping attitude has received long lasing attention in the context of e-commerce. Previous studies have elucidated the different facets of online shopping attitude and have overemphasized a prevalent assertion on the relationship between web design artifacts and consumers’ psychological responses. However, the imitability of web design in practice makes no differentiation among a glut of shopping websites and probably leads to revenue declination due to the fact that the instability of attitude frequently leads to attitudinal ambivalence. Hence, understanding how to strengthen consumers’ attitudes toward online shopping should be fruitful for remedying attitude inconsistency in e-commerce. The current study extended related research by examining the simultaneous effects of trusting beliefs on consumers’ attitudes toward online shopping. We adopted the concept of structural assurance and the principles of persuasion as the theoretical underpinnings. The proposed model is expected to contribute to relevant literature by offering theoretical contributions and managerial implications that can help both researchers and online retailers to understand more clearly how consumers develop their attitudes toward shopping online.

[1]  Alan D. J. Cooke,et al.  Judgment and decision making. , 1998, Annual review of psychology.

[2]  Stephen J. Hoch,et al.  Managing What Consumers Learn from Experience , 1989 .

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

[4]  S. A. Skumanich,et al.  Individual Media Dependency Relations Within Television Shopping Programming , 1998 .

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

[6]  Charlotte H. Mason,et al.  Characteristic, Beneficial, and Image Attributes in Consumer Judgments of Similarity and Preference , 1993 .

[7]  B. Brehmer.  Social Judgment Theory and the Analysis of Interpersonal Conflict. , 1976 .

[8]  S. Ball-Rokeach,et al.  Media System Dependency Theory , 2010 .

[9]  James C. Cox,et al.  How to identify trust and reciprocity , 2004, Games Econ. Behav..

[10]  David Trafimow,et al.  Some Tests of the Distinction between Cognitive and Affective Beliefs , 1998 .

[11]  Roobina Ohanian.  Construction and Validation of a Scale to Measure Celebrity Endorsers' Perceived Expertise, Trustworthiness, and Attractiveness , 1990 .

[12]  G. Zaltman,et al.  Relationships between Providers and Users of Market Research: The Dynamics of Trust within and between Organizations , 1992 .

[13]  Keith S. Coulter,et al.  Determinants of trust in a service provider: the moderating role of length of relationship , 2002 .

[14]  HassaneinKhaled,et al.  Manipulating perceived social presence through the web interface and its impact on attitude towards online shopping , 2007 .

[15]  Mark D. Griffiths,et al.  Affect and the Computer Game Player: The Effect of Gender, Personality, and Game Reinforcement Structure on Affective Responses to Computer Game-Play , 2006, Cyberpsychology Behav. Soc. Netw..

[16]  G. Hanson,et al.  Drugs and society. , 1971, Lancet.

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

[18]  Valerie J. Trifts,et al.  Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids , 2000 .

[19]  Muzafer Sherif,et al.  Attitude and Attitude Change , 1966 .

[20]  C. Johnson-George,et al.  Measurement of specific interpersonal trust: Construction and validation of a scale to assess trust in a specific other. , 1982 .

[21]  Frank Dumont,et al.  Analyzing close relationships: A project in scientific integration. , 2012 .

[22]  Peter D. Bennett,et al.  The Role of Confidence in Understanding and Predicting Buyers' Attitudes and Purchase Intentions , 1975 .

[23]  Sabine Einwiller,et al.  When Reputation Engenders Trust: An Empirical Investigation in Business-to-Consumer Electronic Commerce , 2003, Electron. Mark..

[24]  K. Kaplan.  On the ambivalence-indifference problem in attitude theory and measurement: A suggested modification of the semantic differential technique. , 1972 .

[25]  Dan J. Kim,et al.  Self-Perception-Based Versus Transference-Based Trust Determinants in Computer-Mediated Transactions: A Cross-Cultural Comparison Study , 2008, J. Manag. Inf. Syst..

[26]  C. I. Hovland,et al.  Social Judgment: Assimilation and Contrast Effects in Communication and Attitude Change , 1981 .

[27]  August E. Grant,et al.  Television Shopping , 1991 .

[28]  Milena M. Head,et al.  Manipulating perceived social presence through the web interface and its impact on attitude towards online shopping , 2007, Int. J. Hum. Comput. Stud..

[29]  S. Sénécal,et al.  The influence of online product recommendations on consumers' online choices , 2004 .

[30]  Izak Benbasat,et al.  The Effects of Presentation Formats and Task Complexity on Online Consumers' Product Understanding , 2007, MIS Q..

[31]  Izak Benbasat,et al.  Trust-Related Arguments in Internet Stores: A Framework for Evaluation , 2003, J. Electron. Commer. Res..

[32]  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..

[33]  Roger J. Calantone,et al.  Effectiveness of Marketing Cues on Consumer Perceptions of Quality: The Moderating Roles of Brand Reputation and Third-Party Information , 2013 .

[34]  S. Ball-Rokeach.  THE ORIGINS OF INDIVIDUAL MEDIA-SYSTEM DEPENDENCY , 1985 .

[35]  Wesley Shu,et al.  How to improve consumer attitudes toward using credit cards online: An experimental study , 2012, Electron. Commer. Res. Appl..

[36]  Hsiu-Fen Lin,et al.  Predicting consumer intentions to shop online: An empirical test of competing theories , 2007, Electron. Commer. Res. Appl..

[37]  Jaeki Song,et al.  Web Design in E-Commerce: A Theory and Empirical Analysis , 2001, ICIS.

[38]  P. Herr,et al.  Effects of Word-of-Mouth and Product-Attribute Information on Persuasion: An Accessibility-Diagnosticity Perspective , 1991 .

[39]  Prashant Palvia,et al.  The role of trust in e-commerce relational exchange: A unified model , 2009, Inf. Manag..

[40]  Rian van der Merwe,et al.  A framework and methodology for evaluating e-commerce Web sites , 2003, Internet Res..

[41]  Izak Benbasat,et al.  The Effects of Personalizaion and Familiarity on Trust and Adoption of Recommendation Agents , 2006, MIS Q..

[42]  Chien-Wen David Chen,et al.  Understanding consumer intention in online shopping: a respecification and validation of the DeLone and McLean model , 2009, Behav. Inf. Technol..

[43]  Izak Benbasat,et al.  Trust-Assuring Arguments in B2C E-commerce: Impact of Content, Source, and Price on Trust , 2009, J. Manag. Inf. Syst..

[44]  Sunil Erevelles,et al.  The universality of the signal theory for products and services , 2001 .

[45]  James E. Heald,et al.  Social Judgment Theory: Applications to Educational Decision Making , 1991 .

[46]  Jagdip Singh,et al.  Agency and trust mechanisms in consumer satisfaction and loyalty judgments , 2000 .

[47]  A. Bandura,et al.  Social Cognitive Theory of Organizational Management , 1989 .

[48]  William E. Loges,et al.  Canaries in the Coal Mine , 1994 .

[49]  B. Ratchford.  Cost-Benefit Models for Explaining Consumer Choice and Information Seeking Behavior , 1982 .

[50]  N. L. Chervany,et al.  WHILE TRUST IS COOL AND COLLECTED, DISTRUST IS FIERY AND FRENZIED: A MODEL OF DISTRUST CONCEPTS , 2001 .

[51]  M. Rokeach,et al.  The great American values test : influencing behavior and belief through television , 1986 .

[52]  Charles A. O'Reilly,et al.  Variations in Decision Makers' Use of Information Sources: The Impact of Quality and Accessibility of Information , 1982 .

[53]  P. A. Dabholkar,et al.  Integrating attitudinal theories to understand and predict use of technology‐based self‐service: The Internet as an illustration , 2001 .

[54]  Charles J. Kacmar,et al.  Developing and Validating Trust Measures for e-Commerce: An Integrative Typology , 2002, Inf. Syst. Res..

[55]  F. Norwood,et al.  Bridging the gap between laboratory experiments and naturally occurring markets: An inferred valuation method , 2009 .

[56]  Jon A. Krosnick,et al.  Government policy and citizen passion: A study of issue publics in contemporary America , 1990 .

[57]  Robert E. Smith,et al.  Consumer Processing of Product Trial and the Influence of Prior Advertising: A Structural Modeling Approach , 1998 .

[58]  Michael Lynn,et al.  Scarcity effects on desirability: mediated by assumed expensiveness? , 1989 .

[59]  Richard T. Watson,et al.  Service Quality: A Measure of Information System Effectiveness , 1995, MIS Q..

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

[61]  R. Eugene Klippel,et al.  A Comparison of Four Multi-Attribute Models in the Prediction of Consumer Attitudes , 1975 .

[62]  Robert B. Cialdini,et al.  Influence : how and why people agree to things , 1985 .

[63]  Chao‐Min Chiu,et al.  Determinants of customer repurchase intention in online shopping , 2009, Online Inf. Rev..

[64]  Thomas J. Peters,et al.  Thriving on Chaos: Handbook for a Management Revolution , 1988 .

[65]  Matthew K. O. Lee,et al.  A Trust Model for Consumer Internet Shopping , 2001, Int. J. Electron. Commer..

[66]  Ingoo Han,et al.  The effect of negative online consumer reviews on product attitude: An information processing view , 2008, Electron. Commer. Res. Appl..

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

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

[69]  G. Haines,et al.  The Theory of Buyer Behavior. , 1970 .