IDEAS home Printed from https://ideas.repec.org/p/ags/eaae99/7721.html
   My bibliography  Save this paper

Studying How E-Markets Evaluation Can Enhance Trust in Virtual Business Communities

Author

Listed:
  • Manouselis, Nikos
  • Costopoulou, Constantina
  • Sideridis, Alexander B.

Abstract

One of the major drawbacks of conducting business online is the raised level of risk associated with business transactions. Potential business partners usually have limited information about each other's reliability or product / service quality before an online transaction. In this paper, we focus on the problem of selecting a trustful electronic market (e-market), in order to perform business transactions with it. In particular, we examine how the decision of selecting an appropriate e-market can be facilitated by an e-market recommendation algorithm. For this purpose, a metadata model for collecting and storing e-market evaluations from the members of a virtual business community in a reusable and interoperable manner is introduced. Then, an e-market recommendation algorithm that can synthesize existing e-market evaluations stored using the metadata model, is designed. Finally, a scenario of how the presented e-market recommendation algorithm can support a virtual agribusiness community of the organic agriculture sector is discussed.

Suggested Citation

  • Manouselis, Nikos & Costopoulou, Constantina & Sideridis, Alexander B., 2006. "Studying How E-Markets Evaluation Can Enhance Trust in Virtual Business Communities," 99th Seminar, February 8-10, 2006, Bonn, Germany 7721, European Association of Agricultural Economists.
    • Handle: RePEc:ags:eaae99:7721
    DOI: 10.22004/ag.econ.7721
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/7721/files/sp06ma02.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.7721?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jacquet-Lagreze, Eric & Siskos, Yannis, 2001. "Preference disaggregation: 20 years of MCDA experience," European Journal of Operational Research, Elsevier, vol. 130(2), pages 233-245, April.
    2. Chong Ju Choi & Carla C. J. M. Millar & Caroline Y. L. Wong, 2005. "Knowledge and the State," Palgrave Macmillan Books, in: Knowledge Entanglements, chapter 0, pages 19-38, Palgrave Macmillan.
    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. Oliver Hinz & Jochen Eckert, 2010. "The Impact of Search and Recommendation Systems on Sales in Electronic Commerce," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 2(2), pages 67-77, April.
    2. Caroline Mota & Adiel Almeida, 2012. "A multicriteria decision model for assigning priority classes to activities in project management," Annals of Operations Research, Springer, vol. 199(1), pages 361-372, October.
    3. Xiao-Bai Li & Jialun Qin, 2017. "Anonymizing and Sharing Medical Text Records," Information Systems Research, INFORMS, vol. 28(2), pages 332-352, June.
    4. Fancello, Giovanna & Tsoukiàs, Alexis, 2021. "Learning urban capabilities from behaviours. A focus on visitors values for urban planning," Socio-Economic Planning Sciences, Elsevier, vol. 76(C).
    5. Lawrence Bunnell & Kweku-Muata Osei-Bryson & Victoria Y. Yoon, 0. "RecSys Issues Ontology: A Knowledge Classification of Issues for Recommender Systems Researchers," Information Systems Frontiers, Springer, vol. 0, pages 1-42.
    6. Martinovici, A., 2019. "Revealing attention - how eye movements predict brand choice and moment of choice," Other publications TiSEM 7dca38a5-9f78-4aee-bd81-c, Tilburg University, School of Economics and Management.
    7. Joanna Sokolowska & Patrycja Sleboda, 2015. "The Inverse Relation Between Risks and Benefits: The Role of Affect and Expertise," Risk Analysis, John Wiley & Sons, vol. 35(7), pages 1252-1267, July.
    8. Donald R. Haurin & Stuart S. Rosenthal, 2009. "Language, Agglomeration and Hispanic Homeownership," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 37(2), pages 155-183, June.
    9. Vlachokostas, Ch. & Michailidou, A.V. & Achillas, Ch., 2021. "Multi-Criteria Decision Analysis towards promoting Waste-to-Energy Management Strategies: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    10. Jong Won Min, 2019. "The Influence of Stigma and Views on Mental Health Treatment Effectiveness on Service Use by Age and Ethnicity: Evidence From the CDC BRFSS 2007, 2009, and 2012," SAGE Open, , vol. 9(3), pages 21582440198, September.
    11. Zhan (Michael) Shi & T. S. Raghu, 2020. "An Economic Analysis of Product Recommendation in the Presence of Quality and Taste-Match Heterogeneity," Information Systems Research, INFORMS, vol. 31(2), pages 399-411, June.
    12. Voxi Amavilah & Antonio R. Andrés, 2014. "Globalization, Peace & Stability, Governance, and Knowledge Economy," Research Africa Network Working Papers 14/012, Research Africa Network (RAN).
    13. Alwang, Jeffrey & Larochelle, Catherine & Barrera, Victor, 2017. "Farm Decision Making and Gender: Results from a Randomized Experiment in Ecuador," World Development, Elsevier, vol. 92(C), pages 117-129.
    14. Yanina Welp & Ferran Urgell & Eduard Aibar, 2007. "From Bureaucratic Administration to Network Administration? An Empirical Study on E-Government Focus on Catalonia," Public Organization Review, Springer, vol. 7(4), pages 299-316, December.
    15. Brent Hammer & Helen Vallianatos & Candace Nykiforuk & Laura Nieuwendyk, 2015. "Perceptions of healthy eating in four Alberta communities: a photovoice project," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 32(4), pages 649-662, December.
    16. Amine Dadoun & Michael Defoin-Platel & Thomas Fiig & Corinne Landra & Raphaël Troncy, 2021. "How recommender systems can transform airline offer construction and retailing," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(3), pages 301-315, June.
    17. Parag, Yael & Darby, Sarah, 2009. "Consumer-supplier-government triangular relations: Rethinking the UK policy path for carbon emissions reduction from the UK residential sector," Energy Policy, Elsevier, vol. 37(10), pages 3984-3992, October.
    18. Guo, Mengzhuo & Zhang, Qingpeng & Liao, Xiuwu & Chen, Frank Youhua & Zeng, Daniel Dajun, 2021. "A hybrid machine learning framework for analyzing human decision-making through learning preferences," Omega, Elsevier, vol. 101(C).
    19. Canós, L. & Liern, V., 2008. "Soft computing-based aggregation methods for human resource management," European Journal of Operational Research, Elsevier, vol. 189(3), pages 669-681, September.
    20. Umberto Panniello & Michele Gorgoglione & Alexander Tuzhilin, 2016. "Research Note—In CARSs We Trust: How Context-Aware Recommendations Affect Customers’ Trust and Other Business Performance Measures of Recommender Systems," Information Systems Research, INFORMS, vol. 27(1), pages 182-196, March.

    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:ags:eaae99:7721. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/eaaeeea.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.