Skip to main content
SpringerLink
Log in
Book cover

International Conference on Computational Collective Intelligence

ICCCI 2017: Computational Collective Intelligence pp 579–589Cite as

Online Comparison System with Certain and Uncertain Criteria Based on Multi-criteria Decision Analysis Method

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10449))

Abstract

The Internet makes it possible to find and analyse information about goods and services which can be purchased online. An abundance of e-commerce services and available products makes customers disorientated. Shoppers usually devote a great deal of time to browse offers and select their optimal products and they often are in need of advisers who could share their expert knowledge on products customers know very little about. That is why, on the Internet the comparison services, such as Google shopping, Shopzilla, PriceGrabber are being developed. The applications support customers in decision-making by letting them compare many similar products and offers of online shops. This article is focused on the issue related to the support of product evaluation in comparison services. Presently applied comparison algorithms include only the product price but do not concentrate on other criteria of evaluation. In relation to the above-mentioned problem, it is suggested that the number of evaluation criteria should be increased and an adequate multi-criteria decision analysis (MCDA) method ought to be applied. The comparison system proposed in the paper is based on MCDA method and is able to use certain and uncertain criteria. As a result, it increases the functionality of this type of Internet service.

This is a preview of subscription content, log in via an institution.

References

  1. Jankowski, J., Wątróbski, J., Ziemba, P.: Modeling the impact of visual components on verbal communication in online advertising. In: Núñez, M., Nguyen, N.T., Camacho, D., Trawiński, B. (eds.) ICCCI 2015. LNCS, vol. 9330, pp. 44–53. Springer, Cham (2015). doi:10.1007/978-3-319-24306-1_5

    Chapter  Google Scholar 

  2. Kawaf, F., Tagg, S.: The construction of online shopping experience: a repertory grid approach. Comput. Hum. Behav. 72, 222–232 (2017)

    Article  Google Scholar 

  3. Global B2C E-commerce Report 2016, Ecommerce Foundation. https://www.ecommercewiki.org/wikis/www.ecommercewiki.org/images/5/56/Global_B2C_Ecommerce_Report_2016.pdf. Accessed 30 Apr 2017

  4. European B2C E-commerce Report 2016, Ecommerce Europe. https://www.ecommerce-europe.eu/app/uploads/2016/07/European-B2C-E-commerce-Report-2016-Light-Version-FINAL.pdf. Accessed 30 Apr 2017

  5. Yelken, Y.: yStats.com: Popularity of Online Comparison Shopping Services Varies Worldwide, 23 Mar 2016. https://www.linkedin.com/pulse/ystatscom-popularity-online-comparison-shopping-services-yelken. Accessed 30 Apr 2017

  6. Gemius & Izba Gospodarki Elektronicznej. https://ecommercepolska.pl/files/9414/6718/9485/E-commerce_w_polsce_2016.pdf. Accessed 30 Apr 2017

  7. Laffey, D., Gandy, A.: Comparison websites in UK retail financial services. J. Financ. Serv. Mark. 14(2), 173–186 (2009)

    Article  Google Scholar 

  8. Marano, P.: The EU regulation on comparison websites of insurance products. In: Marano, P., Rokas, I., Kochenburger, P. (eds.) The “Dematerialized” Insurance. Distance Selling and Cyber Risks from an International Perspective, pp. 59–84. Springer, Cham (2016). doi:10.1007/978-3-319-28410-1_3

    Chapter  Google Scholar 

  9. Holland, C.P., Jacobs, J.A., Klein, S.: The role and impact of comparison websites on the consumer search process in the US and German airline markets. Inf. Technol. Tour. 16(1), 127–148 (2016)

    Article  Google Scholar 

  10. Paraskeyas, A., Kontoyiannis, K.: Travel comparison websites: an old friend with new clothes. In: Frew, A.J. (ed.) Information and Communication Technologies in Tourism 2005, pp. 486–496. Springer, Vienna (2005). doi:10.1007/3-211-27283-6_44

    Chapter  Google Scholar 

  11. Chmielarz, W., Zborowski, M.: The application of a conversion method in a confrontational pattern-based design method used for the evaluation of it systems. Ann. Comput. Sci. Inf. Syst. 2, 1227–1234 (2014)

    Article  Google Scholar 

  12. Laffey, D., Gandy, A.: Applying Stabell and Fjeldstad’s value configurations to E-commerce: a cross-case analysis of UK comparison websites. J. Strateg. Inf. Syst. 18(4), 192–204 (2009)

    Article  Google Scholar 

  13. Laffey, D.: Comparison websites: evidence from service sector. Serv. Ind. J. 30(12), 1939–1954 (2010)

    Article  Google Scholar 

  14. Ronayne, D.: Price Comparison Websites. Warwick Economics Research Paper Series, no. 1056 (2015)

    Google Scholar 

  15. Guitouni, A., Wheaton, K., Wood, D.: An essay to characterise models the military decision-making processes. In: The 11th International Command and Control Research and Technology Symposium, Cambridge (2006)

    Google Scholar 

  16. Roy, B.: Multicriteria Methodology for Decision Aiding. Springer, Dordrecht (1996)

    Book  Google Scholar 

  17. Guitouni, A., Martel, J.M.: Tentative guidelines to help choosing an appropriate MCDA method. Eur. J. Oper. Res. 109(2), 501–521 (1998)

    Article  Google Scholar 

  18. Wątróbski, J., Jankowski, J., Ziemba, P.: Multistage performance modelling in digital marketing management. Econ. Sociol. 9(2), 101–125 (2016)

    Article  Google Scholar 

  19. Jacquet-Lagreze, E., Siskos, Y.: Preference disaggregation: 20 years of MCDA experience. Eur. J. Oper. Res. 130(2), 233–245 (2001)

    Article  Google Scholar 

  20. Roy, B.: Paradigms and challenges. In: Figueira, J., Greco, S., Ehrogott, M. (eds.) Multiple Criteria Decision Analysis: State of the Art Surveys. International Series in Operations Research & Management Science, vol. 78, pp. 3–24. Springer, New York (2005). doi:10.1007/0-387-23081-5_1

    Chapter  Google Scholar 

  21. Ozturk, M., Tsoukias, A., Vincke, P.: Preference modelling. In: Figueira, J., Greco, S., Ehrgott, M. (eds.) Multiple Criteria Decision Analysis: State of the Art Surveys. International Series in Operations Research & Management Science, vol. 78, pp. 27–59. Springer, New York (2005). doi:10.1007/0-387-23081-5_2

    Chapter  Google Scholar 

  22. Chen, C.T., Lin, C.T., Huang, S.F.: A fuzzy approach for supplier evaluation and selection in supply chain management. Int. J. Prod. Econ. 102(2), 289–301 (2006)

    Article  Google Scholar 

  23. Kutlu, A.C., Ekmekcioglu, M.: Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP. Expert Syst. Appl. 39(1), 61–67 (2012)

    Article  Google Scholar 

  24. Chen, C.T.: Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets Syst. 114(1), 1–9 (2000)

    Article  Google Scholar 

  25. Ziemba, P., Jankowski, J., Wątróbski, J., Piwowarski, M.: Web projects evaluation using the method of significant website assessment criteria detection. In: Nguyen, N.T., Kowalczyk, R. (eds.) Transactions on Computational Collective Intelligence XXII. LNCS, vol. 9655, pp. 167–188. Springer, Heidelberg (2016). doi:10.1007/978-3-662-49619-0_9

    Chapter  Google Scholar 

  26. Ziemba, P., Wątróbski, J., Jankowski, J., Wolski, W.: Construction and restructuring of the knowledge repository of website evaluation methods. In: Ziemba, E. (ed.) Information Technology for Management. LNBIP, vol. 243, pp. 29–52. Springer, Cham (2016). doi:10.1007/978-3-319-30528-8_3

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. The Jacob of Paradies University, Teatralna 25, 66-400, Gorzów Wielkopolski, Poland

    Paweł Ziemba

  2. West Pomeranian University of Technology, Żołnierska 49, 71-210, Szczecin, Poland

    Jarosław Jankowski & Jarosław Wątróbski

Authors
  1. Paweł Ziemba
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jarosław Jankowski
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jarosław Wątróbski
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Paweł Ziemba .

Editor information

Editors and Affiliations

  1. Department of Information Systems, Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. Department of Computer Science, University of Cyprus, Nicosia, Cyprus

    George A. Papadopoulos

  3. Department of Information Systems, Gdynia Maritime University, Gdynia, Poland

    Piotr Jędrzejowicz

  4. Department of Information Systems, Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

  5. Department of Information Systems, University of Münster, Münster, Germany

    Gottfried Vossen

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Ziemba, P., Jankowski, J., Wątróbski, J. (2017). Online Comparison System with Certain and Uncertain Criteria Based on Multi-criteria Decision Analysis Method. In: Nguyen, N., Papadopoulos, G., Jędrzejowicz, P., Trawiński, B., Vossen, G. (eds) Computational Collective Intelligence. ICCCI 2017. Lecture Notes in Computer Science(), vol 10449. Springer, Cham. https://doi.org/10.1007/978-3-319-67077-5_56

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-67077-5_56

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67076-8

  • Online ISBN: 978-3-319-67077-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation