IDEAS home Printed from https://ideas.repec.org/p/vua/wpaper/2006-1.html
   My bibliography  Save this paper

Perceived risk and trust associated with purchasing at Electronic Marketplaces

Author

Listed:
  • Verhagen, Tibert

    (Vrije Universiteit Amsterdam, Faculteit der Economische Wetenschappen en Econometrie (Free University Amsterdam, Faculty of Economics Sciences, Business Administration and Economitrics)

  • Meents, Selmar
  • Tan, Yao-Hua

Abstract

Understanding consumer behaviour is of vital importance to consumer oriented e-business models today. In this paper we study the relationships between consumer perceptions of risk and trust and the attitude towards purchasing at a consumer-to-consumer electronic marketplace. Typical for electronic marketplace settings is that consumer behaviour is subject to perceptions of the selling party as well as the institutional structures of the intermediary that is operating the electronic marketplace. Building upon the well-established literature of trust we consider the concepts of institutional trust and party trust. We extend this categorization by introducing the concepts of institutional risk and party risk. We developed measurement instruments for institutional risk and party risk. All measurement scales have acceptable alphas and are unidimensional. An empirical study is conducted to explore the relationships between the risk and trust types and consumer purchase attitude. The results reveal significant, direct effects of party trust and party risk. Second order effects of institutional trust and institutional risk are investigated and reported. The paper concludes with general observations and recommendations for research and practice.

Suggested Citation

  • Verhagen, Tibert & Meents, Selmar & Tan, Yao-Hua, 2006. "Perceived risk and trust associated with purchasing at Electronic Marketplaces," Serie Research Memoranda 0001, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
  • Handle: RePEc:vua:wpaper:2006-1
    as

    Download full text from publisher

    File URL: http://degree.ubvu.vu.nl/repec/vua/wpaper/pdf/20060001.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gerbing, David W & Anderson, James C, 1984. "On the Meaning of Within-Factor Correlated Measurement Errors," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 11(1), pages 572-580, June.
    2. Ryan, Michael J & Bonfield, E H, 1975. "The Fishbein Extended Model and Consumer Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 2(2), pages 118-136, Se.
    3. Dowling, Grahame R & Staelin, Richard, 1994. "A Model of Perceived Risk and Intended Risk-Handling Activity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(1), pages 119-134, June.
    4. Jones, Michael A. & Reynolds, Kristy E. & Weun, Seungoog & Beatty, Sharon E., 2003. "The product-specific nature of impulse buying tendency," Journal of Business Research, Elsevier, vol. 56(7), pages 505-511, July.
    5. Schurr, Paul H & Ozanne, Julie L, 1985. "Influence on Exchange Processes: Buyers' Preconceptions of a Seller's Trustworthiness and Bargaining Toughness," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 11(4), pages 939-953, March.
    6. Sheppard, Blair H & Hartwick, Jon & Warshaw, Paul R, 1988. "The Theory of Reasoned Action: A Meta-analysis of Past Research with Recommendations for Modifications and Future Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(3), pages 325-343, December.
    7. K. Jöreskog, 1971. "Statistical analysis of sets of congeneric tests," Psychometrika, Springer;The Psychometric Society, vol. 36(2), pages 109-133, June.
    8. Petty, Richard E & Cacioppo, John T & Schumann, David, 1983. "Central and Peripheral Routes to Advertising Effectiveness: The Moderating Role of Involvement," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 10(2), pages 135-146, September.
    9. Ajit Kambil & Eric van Heck, 1998. "Reengineering the Dutch Flower Auctions: A Framework for Analyzing Exchange Organizations," Information Systems Research, INFORMS, vol. 9(1), pages 1-19, March.
    10. Hirshleifer, J & Riley, John G, 1979. "The Analytics of Uncertainty and Information-An Expository Survey," Journal of Economic Literature, American Economic Association, vol. 17(4), pages 1375-1421, December.
    11. Naresh K. Malhotra & Sung S. Kim & James Agarwal, 2004. "Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model," Information Systems Research, INFORMS, vol. 15(4), pages 336-355, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Meents, S. & Verhagen, T. & Vlaar, P.W.L., 2011. "How sellers can stimulate purchasing in electronic marketplaces: Using information as a risk reduction signal," Serie Research Memoranda 0014, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    2. Verhagen, T., 2008. "Investigating the impact of C2C electronic marketplace quality on trust," Serie Research Memoranda 0008, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    3. Borhan, Muhamad Nazri & Ibrahim, Ahmad Nazrul Hakimi & Miskeen, Manssour A. Abdulasalm, 2019. "Extending the theory of planned behaviour to predict the intention to take the new high-speed rail for intercity travel in Libya: Assessment of the influence of novelty seeking, trust and external inf," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 373-384.
    4. Saridakis, George & Benson, Vladlena & Ezingeard, Jean-Noel & Tennakoon, Hemamali, 2016. "Individual information security, user behaviour and cyber victimisation: An empirical study of social networking users," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 320-330.
    5. Attié, Elodie & Meyer-Waarden, Lars, 2022. "The acceptance and usage of smart connected objects according to adoption stages: an enhanced technology acceptance model integrating the diffusion of innovation, uses and gratification and privacy ca," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    6. Chang, Shuchih Ernest & Shen, Wei-Cheng & Liu, Anne Yenching, 2016. "Why mobile users trust smartphone social networking services? A PLS-SEM approach," Journal of Business Research, Elsevier, vol. 69(11), pages 4890-4895.
    7. Gao, Tao (Tony) & Rohm, Andrew J. & Sultan, Fareena & Pagani, Margherita, 2013. "Consumers un-tethered: A three-market empirical study of consumers' mobile marketing acceptance," Journal of Business Research, Elsevier, vol. 66(12), pages 2536-2544.
    8. Heribert Gierl & Roland Helm & Michaela Satzinger, 2000. "Die Wirkung positiver und negativer Aussagen in der Werbung vor dem Hintergrund des Message Framing," Schmalenbach Journal of Business Research, Springer, vol. 52(3), pages 234-256, May.
    9. Mauricio S. Featherman & Nick Hajli, 2016. "Self-Service Technologies and e-Services Risks in Social Commerce Era," Journal of Business Ethics, Springer, vol. 139(2), pages 251-269, December.
    10. Bamberg, Sebastian, 2002. "Implementation intention versus monetary incentive comparing the effects of interventions to promote the purchase of organically produced food," Journal of Economic Psychology, Elsevier, vol. 23(5), pages 573-587, October.
    11. Tran, Thi Thanh Huong & Robinson, Kate & Paparoidamis, Nicholas G., 2022. "Sharing with perfect strangers: The effects of self-disclosure on consumers’ trust, risk perception, and behavioral intention in the sharing economy," Journal of Business Research, Elsevier, vol. 144(C), pages 1-16.
    12. Kumar, Bipul, 2012. "Theory of Planned Behaviour Approach to Understand the Purchasing Behaviour for Environmentally Sustainable Products," IIMA Working Papers WP2012-12-08, Indian Institute of Management Ahmedabad, Research and Publication Department.
    13. Angshuman Ghosh & Sanjeev Varshney & Pingali Venugopal, 2014. "Social Media WOM: Definition, Consequences and Inter-relationships," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 39(3), pages 293-308, August.
    14. Claudia Bobâlcă, 2014. "Determinants Of Customer Loyalty. A Theoretical Approach," Economy & Business Journal, International Scientific Publications, Bulgaria, vol. 8(1), pages 995-1005.
    15. Xiaoyi Chen & Sarah Cheah & Ao Shen, 2019. "Empirical Study on Behavioral Intentions of Short-Term Rental Tenants—The Moderating Role of Past Experience," Sustainability, MDPI, vol. 11(12), pages 1-18, June.
    16. Cheng, Hsiu-Hua & Huang, Shih-Wei, 2013. "Exploring antecedents and consequence of online group-buying intention: An extended perspective on theory of planned behavior," International Journal of Information Management, Elsevier, vol. 33(1), pages 185-198.
    17. Andrea Mezger & Pablo Cabanelas & Mª. Jesús López‐Miguens & Francesca Cabiddu & Klaus Rüdiger, 2020. "Sustainable development and consumption: The role of trust for switching towards green energy," Business Strategy and the Environment, Wiley Blackwell, vol. 29(8), pages 3598-3610, December.
    18. Molina-Castillo, Francisco-Jose & Lopez-Nicolas, Carolina & Soto-Acosta, Pedro, 2012. "Interaction effects of media and message on perceived complexity, risk and trust of innovative products," European Management Journal, Elsevier, vol. 30(6), pages 577-587.
    19. May, Daniel E., 2015. "Behavioural Drivers of Business Competitiveness in Agriculture," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 16(2), pages 1-22.
    20. Spiekermann, Sarah & Strobel, Martin & Temme, Dirk, 2002. "Drivers and impediments of consumer online information search: Self-controlled versus agent-based search in a high involvement context," SFB 373 Discussion Papers 2002,37, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

    More about this item

    Keywords

    Consumer behaviour; e-Commerce;

    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vua:wpaper:2006-1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: R. Dam (email available below). General contact details of provider: https://edirc.repec.org/data/fewvunl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.