Investigation on the Factors Determining Consumers' Use of Online Intermediated Shopping (OIS): A Behavioral Intention Perspective

While consumers have increasingly exploited online intermediated shopping (OIS) to facilitate electronic shopping through the assistance of online intermediaries, many remain hesitant to do so for various perceptual reasons. This paper thus applies agency theory, the theory of planned behavior (TPB), perceived risk, and trust, to propose a research model for consumers’ behavioral intention in using OIS. Empirical data was collected through a survey and analyzed using regression models. Results showed that constructs of perceived benefit, trust, subjective norms, and perceived behavioral control are related to behavioral intention to engage in OIS; consumer experience has a moderating role. Theoretically speaking, this study enriches and extends the original TPB by relating it to the emerging phenomenon of OIS behavior from the consumer’s perspective. This study also offers important practical implications for OIS intermediaries and platforms that aim to better attract and serve existing and potential consumers. Investigation on the Factors Determining Consumers’ Use of Online Intermediated Shopping (OIS): A Behavioral Intention Perspective

[1]  Blanca Hernández,et al.  Customer behavior in electronic commerce: The moderating effect of e-purchasing experience , 2010 .

[2]  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.

[3]  Jurong Zheng,et al.  A strategic case for e-adoption in healthcare supply chains , 2006, Int. J. Inf. Manag..

[4]  Robert Mittman,et al.  Health e-People: The Online Consumer Experience , 2000 .

[5]  M. Biehl,et al.  Perceived risks and benefits of smoking: differences among adolescents with different smoking experiences and intentions. , 2004, Preventive medicine.

[6]  J. H. Davis,et al.  An Integrative Model Of Organizational Trust , 1995 .

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

[8]  M. Unser.  Lower partial moments as measures of perceived risk: An experimental study , 2000 .

[9]  William R Doucette,et al.  Perceived difficulty and self-efficacy in the factor structure of perceived behavioral control to seek drug information from physicians and pharmacists. , 2007, Research in social & administrative pharmacy : RSAP.

[10]  Kai H. Lim,et al.  Web strategies to promote internet shopping: is cultural-customization needed? , 2009 .

[11]  Anne-Sophie Cases.  Perceived risk and risk-reduction strategies in Internet shopping , 2002 .

[12]  Hans Stubbe Solgaard,et al.  Predicting online grocery buying intention: a comparison of the theory of reasoned action and the theory of planned behavior , 2004, Int. J. Inf. Manag..

[13]  David M. Shannon,et al.  Development of a scale to measure the perceived benefits and risks of online shopping , 2006 .

[14]  Jane M. Howell,et al.  Personal Computing: Toward a Conceptual Model of Utilization , 1991, MIS Q..

[15]  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..

[16]  Ilyoo B. Hong,et al.  The impact of consumer trust on attitudinal loyalty and purchase intentions in B2C e-marketplaces: Intermediary trust vs. seller trust , 2011, Int. J. Inf. Manag..

[17]  Il Im,et al.  The effects of perceived risk and technology type on users' acceptance of technologies , 2008, Inf. Manag..

[18]  Chao-Min Chiu,et al.  A longitudinal investigation of continued online shopping behavior: An extension of the theory of planned behavior , 2006, Int. J. Hum. Comput. Stud..

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

[20]  Pauline Ratnasingham,et al.  Risks in low trust among trading partners in electronic commerce , 1999, Comput. Secur..

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

[22]  P. Nath,et al.  Role of Electronic Trust in Online Retailing: A Re-examination of the Commitment-Trust Theory , 2007 .

[23]  I. Ajzen,et al.  Intention, perceived control, and weight loss: an application of the theory of planned behavior. , 1985, Journal of personality and social psychology.

[24]  Albert L. Lederer,et al.  A Meta-Analysis of the Role of Environment-Based Voluntariness in Information Technology Acceptance , 2009, MIS Q..

[25]  Kevin Grant,et al.  Factors affecting the adoption of Internet Banking in Hong Kong - implications for the banking sector , 2007, Int. J. Inf. Manag..

[26]  Barry Gerhart,et al.  Compensation: Theory, Evidence, and Strategic Implications , 2003 .

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

[28]  Jiaming Fang,et al.  Effects of innovativeness and trust on web survey participation , 2009, Comput. Hum. Behav..

[29]  J. Hair.  Multivariate data analysis , 1972 .

[30]  Paul Sparks,et al.  Expectations of reducing fat intake: The role of perceived need within the theory of planned behaviour , 1998 .

[31]  Matthew K. O. Lee,et al.  How social influence affects we-intention to use instant messaging: The moderating effect of usage experience , 2011, Inf. Syst. Frontiers.

[32]  Peter A. Todd,et al.  Assessing IT usage: the role of prior experience , 1995 .

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

[34]  Wayne D. Hoyer,et al.  Why Switch? Product Category–Level Explanations for True Variety-Seeking Behavior , 1996 .

[35]  Ángel Herrero Crespo,et al.  The influence of the commercial features of the Internet on the adoption of e-commerce by consumers , 2010, Electron. Commer. Res. Appl..

[36]  F. Fukuyama.  Trust: The Social Virtues and the Creation of Prosperity Penguin London , 1995 .

[37]  Peter A. Todd,et al.  Consumer Reactions to Electronic Shopping on the World Wide Web , 1996, Int. J. Electron. Commer..

[38]  Paul A. Pavlou,et al.  Predicting E-Services Adoption: A Perceived Risk Facets Perspective , 2002, Int. J. Hum. Comput. Stud..

[39]  Hans van der Heijden,et al.  Factors influencing the usage of websites: the case of a generic portal in The Netherlands , 2003, Inf. Manag..

[40]  Francisco J. Molina-Castillo,et al.  Customer Knowledge Management and E-commerce: The role of customer perceived risk , 2008, Int. J. Inf. Manag..

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

[42]  Paul A. Pavlou,et al.  Understanding and Mitigating Uncertainty in Online Exchange Relationships: A Principal-Agent Perspective , 2007, MIS Q..

[43]  Joseph M. Jones,et al.  Print and Internet catalog shopping: assessing attitudes and intentions , 2000, Internet Res..

[44]  P. Pavlou.  WHAT DRIVES ELECTRONIC COMMERCE? A THEORY OF PLANNED BEHAVIOR PERSPECTIVE. , 2002 .

[45]  M. Bergen,et al.  Agency Relationships in Marketing: A Review of the Implications and Applications of Agency and Related Theories , 1992 .

[46]  Jung P. Shim,et al.  Factors influencing corporate web site adoption: a time-based assessment , 2001, Inf. Manag..

[47]  Jeung-tai Eddie Tang,et al.  A conceptual model for interactive buyer-supplier relationship in electronic commerce , 2001, Int. J. Inf. Manag..

[48]  Torben Hansen.  Consumer values, the theory of planned behaviour and online grocery shopping , 2008 .

[49]  Ming-Chi Lee,et al.  Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit , 2009, Electron. Commer. Res. Appl..

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

[51]  Magid Igbaria,et al.  Work Experiences, Job Involvement, and Quality of Work Life Among Information Systems Personnel , 1994, MIS Q..

[52]  Richard Staelin,et al.  The Effect of Nutritional Information Disclosure in Advertising: An Information Processing Approach , 1984 .

[53]  H. Raghav Rao,et al.  A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents , 2008, Decis. Support Syst..

[54]  K. Grønhaug,et al.  Perceived Risk: Further Considerations for the Marketing Discipline , 1993 .

[55]  Annette Mills,et al.  A model of Internet adoption by SMEs , 2001, Inf. Manag..

[56]  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..