skip to main content
10.1145/2801948.2801983acmotherconferencesArticle/Chapter ViewAbstractPublication PagespciConference Proceedingsconference-collections
research-article

In search for online shopping mission types based on social network analysis

Published:01 October 2015Publication History

ABSTRACT

This paper explores the different types of online shoppers, as identified in international literature, and the main motives and drives that characterise their shopping behaviour. We argue that the five prevalent shopper types our Social Network Analysis on numerous scientific articles indicates, can benefit e-commerce environments. This can be achieved by accurately identifying the online shopping mission the customers undertake during each shopping occasion. We conclude our study with suggestions regarding the leverage of each of the five basic shopper types.

References

  1. Mark J Arnold and Kristy E Reynolds. Hedonic shopping motivations. Journal of retailing, 79(2):77--95, 2003.Google ScholarGoogle ScholarCross RefCross Ref
  2. Barry J Babin, William R Darden, and Mitch Griffin. Work and/or fun: measuring hedonic and utilitarian shopping value. Journal of consumer research, pages 644--656, 1994.Google ScholarGoogle Scholar
  3. Vladimir Batagelj and Andrej Mrvar. Pajek - program for large network analysis. http://pajek.imfm.si/doku.php?id=start, 1996. Accessed: 2015-03-17.Google ScholarGoogle Scholar
  4. Thomas G Brashear, Vishal Kashyap, Michael D Musante, and Naveen Donthu. A six-country comparison of the internet shopper profile. Revista de Ciências da Administração, 10(21):54--75, 2008.Google ScholarGoogle Scholar
  5. Dalia A Farrag, Ismail M El Sayed, and Russell W Belk. Mall shopping motives and activities: a multimethod approach. Journal of International Consumer Marketing, 22(2):95--115, 2010.Google ScholarGoogle ScholarCross RefCross Ref
  6. Ioannis Fikouras, Stephan Wurst, Frithjof Weber, Kai-Oliver Detken, and Uwe Kaufmann. Interactive marketing and intelligent 3d-configuration of products in electronic shop systems.Google ScholarGoogle Scholar
  7. IBM Institute for Business Value. Driving successful shoping occasions through deeper insights. IBM Business Consulting Services, 2006.Google ScholarGoogle Scholar
  8. Jaishankar Ganesh, Kristy E Reynolds, Michael Luckett, and Nadia Pomirleanu. Online shopper motivations, and e-store attributes: an examination of online patronage behavior and shopper typologies. Journal of Retailing, 86(1):106--115, 2010.Google ScholarGoogle ScholarCross RefCross Ref
  9. Srinath Gopalakrishna, Catherine A Roster, and Shrihari Sridhar. An exploratory study of attendee activities at a business trade show. Journal of Business & Industrial Marketing, 25(4):241--248, 2010.Google ScholarGoogle ScholarCross RefCross Ref
  10. Diana Hassouneh and Malaika Brengman. Shopping in virtual worlds: perceptions, motivations, and behavior. Journal of Electronic Commerce Research, 12(4):320, 2011.Google ScholarGoogle Scholar
  11. Santiago Iglesias-Pradas, Félix Pascual-Miguel, Ángel Hernández-García, and JuliáN Chaparro-PeláEz. Barriers and drivers for non-shoppers in b2c e-commerce: A latent class exploratory analysis. Computers in Human Behavior, 29(2):314--322, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Denise G Jarratt. shopper taxonomy for retail strategy development. International Review of Retail, Distribution and Consumer Research, 6(2):196--215, 1996.Google ScholarGoogle ScholarCross RefCross Ref
  13. Cherukuri Jayasankaraprasad and Gonuguntla Kathyayani. Cross-format shopping motives and shopper typologies for grocery shopping: a multivariate approach. The International Review of Retail, Distribution and Consumer Research, 24(1):79--115, 2014.Google ScholarGoogle ScholarCross RefCross Ref
  14. Chanaka Jayawardhena. Personal values' influence on e-shopping attitude and behaviour. Internet research, 14(2):127--138, 2004.Google ScholarGoogle ScholarCross RefCross Ref
  15. Byoungho Jin and Jai-Ok Kim. A typology of korean discount shoppers: shopping motives, store attributes, and outcomes. International Journal of Service Industry Management, 14(4):396--419, 2003.Google ScholarGoogle ScholarCross RefCross Ref
  16. Tomihisa Kamada and Satoru Kawai. An algorithm for drawing general undirected graphs. Information processing letters, 31(1):7--15, 1989. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Ah Keng Kau, Yingchan E Tang, and Sanjoy Ghose. Typology of online shoppers. Journal of Consumer Marketing, 20(2):139--156, 2003.Google ScholarGoogle ScholarCross RefCross Ref
  18. Carol Kaufman-Scarborough and Jay D Lindquist. E-shopping in a multiple channel environment. Journal of Consumer Marketing, 19(4):333--350, 2002.Google ScholarGoogle ScholarCross RefCross Ref
  19. Ah Keng Kau, Yingchan E Tang, and Sanjoy Ghose. Typology of online shoppers. Journal of Consumer Marketing, 20(2):139--156, 2003.Google ScholarGoogle ScholarCross RefCross Ref
  20. Mohamed Khalifa and Moez Limayem. Drivers of internet shopping. Communications of the ACM, 46(12):233--239, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Youn-Kyung Kim. Consumer value: an application to mall and internet shopping. International Journal of Retail & Distribution Management, 30(12):595--602, 2002.Google ScholarGoogle ScholarCross RefCross Ref
  22. Youn-Kyung Kim, Min-Young Lee, and Soo-Hee Park. Shopping value orientation: Conceptualization and measurement. Journal of Business Research, 67(1):2884--2890, 2014.Google ScholarGoogle ScholarCross RefCross Ref
  23. David Knoke and Song Yang. Social network analysis, volume 154. Sage, 2008.Google ScholarGoogle Scholar
  24. Anna-Maija Kohijoki and Heli Marjanen. The effect of age on shopping orientation?choice orientation types of the ageing shoppers. Journal of Retailing and Consumer Services, 20(2):165--172, 2013.Google ScholarGoogle ScholarCross RefCross Ref
  25. Umut Konuş, Peter C Verhoef, and Scott A Neslin. Multichannel shopper segments and their covariates. Journal of Retailing, 84(4):398--413, 2008.Google ScholarGoogle ScholarCross RefCross Ref
  26. Hau L Lee and Seungjin Whang. Winning the last mile of e-commerce. MIT Sloan Management Review, 42(4):54--62, 2001.Google ScholarGoogle Scholar
  27. Hyun-Hwa Lee, Jihyun Kim, and Ann Marie Fiore. Affective and cognitive online shopping experience effects of image interactivity technology and experimenting with appearance. Clothing and textiles research Journal, 28(2):140--154, 2010.Google ScholarGoogle Scholar
  28. William J McDonald. Time use in shopping: the role of personal characteristics. Journal of Retailing, 70(4):345--365, 1995.Google ScholarGoogle ScholarCross RefCross Ref
  29. Juliet Memery, Philip Megicks, Robert Angell, and Jasmine Williams. Understanding ethical grocery shoppers. Journal of Business Research, 65(9):1283--1289, 2012.Google ScholarGoogle ScholarCross RefCross Ref
  30. B de Minguela Rata, SLJM de Leeuw, et al. Managing the last mile of the supply chain for spare parts. 2013.Google ScholarGoogle Scholar
  31. Dirk Morschett, Bernhard Swoboda, and Thomas Foscht. Perception of store attributes and overall attitude towards grocery retailers: The role of shopping motives. The International Review of Retail, Distribution and Consumer Research, 15(4):423--447, 2005.Google ScholarGoogle ScholarCross RefCross Ref
  32. Gary Mortimer. Toward a shopping typology of primary male grocery shoppers. International Journal of Retail & Distribution Management, 40(10):790--810, 2012.Google ScholarGoogle ScholarCross RefCross Ref
  33. Andrew G Parsons. Non-functional motives for online shoppers: why we click. Journal of Consumer Marketing, 19(5):380--392, 2002.Google ScholarGoogle ScholarCross RefCross Ref
  34. Katherine C Pramataris, Dimitris A Papakiriakopoulos, Thodoris Motsios, and Georgios I Doukidis. A multidimensional approach to product advertisement in the virtual retail environment. In ECIS, pages 1059--1065, 2000.Google ScholarGoogle Scholar
  35. Kristy E Reynolds and Sharon E Beatty. A relationship customer typology. Journal of retailing, 75(4):509--523, 2000.Google ScholarGoogle ScholarCross RefCross Ref
  36. Kristy E Reynolds, Jaishankar Ganesh, and Michael Luckett. Traditional malls vs. factory outlets: comparing shopper typologies and implications for retail strategy. Journal of Business Research, 55(9):687--696, 2002.Google ScholarGoogle ScholarCross RefCross Ref
  37. Andrew J Rohm and Vanitha Swaminathan. A typology of online shoppers based on shopping motivations. Journal of business research, 57(7):748--757, 2004.Google ScholarGoogle Scholar
  38. José Rouillard. The pervasive fridge. a smart computer system against uneaten food loss. In ICONS 2012, The Seventh International Conference on Systems, pages 135--140, 2012.Google ScholarGoogle Scholar
  39. Jennifer Rowley. Product search in e-shopping: a review and research propositions. Journal of consumer marketing, 17(1):20--35, 2000.Google ScholarGoogle Scholar
  40. John Scott. Social network analysis. Sage, 2012.Google ScholarGoogle Scholar
  41. Mohini Singh. E-services and their role in b2c e-commerce. Managing Service Quality: An International Journal, 12(6):434--446, 2002.Google ScholarGoogle ScholarCross RefCross Ref
  42. Gregory P Stone. City shoppers and urban identification: observations on the social psychology of city life. American Journal of Sociology, pages 36--45, 1954.Google ScholarGoogle ScholarCross RefCross Ref
  43. Edward M Tauber. Why do people shop? The Journal of Marketing, pages 46--49, 1972.Google ScholarGoogle ScholarCross RefCross Ref
  44. Hakman A Wan. Opportunities to enhance a commercial website. Information & Management, 38(1):15--21, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  45. Mary C Wolfinbarger, M G. Shopping online for freedom, control, and fun. California Management Review, 2001.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. In search for online shopping mission types based on social network analysis

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      PCI '15: Proceedings of the 19th Panhellenic Conference on Informatics
      October 2015
      438 pages
      ISBN:9781450335515
      DOI:10.1145/2801948

      Copyright © 2015 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 1 October 2015

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

      Acceptance Rates

      PCI '15 Paper Acceptance Rate64of148submissions,43%Overall Acceptance Rate190of390submissions,49%
    • Article Metrics

      • Downloads (Last 12 months)5
      • Downloads (Last 6 weeks)0

      Other Metrics

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader