IDEAS home Printed from https://ideas.repec.org/a/pjm/journl/vxvy2010i2p161-172.html
   My bibliography  Save this article

Assessing Benefits And Risks Of Online Shopping In Spain And Scotland

Author

Listed:
  • Silvina Santana

    (Department of Economics, Management and Industrial Engineering and Institute of Electronics Engineering and Telematic of Aveiro- University of Aveiro)

  • Sandra Loureiro

    (Department of Economics, Management and Industrial Engineering- University of Aveiro)

Abstract

The use of the Internet for shopping is increasing worldwide. Therefore, it has become very important to understand how consumers perceive its benefits and risks. In this paper, we address perceived benefits and risks of online shopping in Spain and Scotland. Building upon previous work done by others, a three-factor scale of perceived benefits and a four-factor scale of perceived risks were estimated. Women tend to perceive the enjoyment and adventure of online shopping more and are also more concerned with risks than men. Frequency of online searching correlates with perceived benefits and risks but its impact is different in the two countries. It is urgent to research the roles of emotion, interpersonal relationships and social involvement in conducting purchases online- an effort that will certainly require new models of consumer behavior and methodologies beyond the traditional quantitative techniques. Classification- JEL:

Suggested Citation

  • Silvina Santana & Sandra Loureiro, 2010. "Assessing Benefits And Risks Of Online Shopping In Spain And Scotland," Portuguese Journal of Management Studies, ISEG, Universidade de Lisboa, vol. 0(2), pages 161-172.
  • Handle: RePEc:pjm:journl:v:xv:y:2010:i:2:p:161-172
    as

    Download full text from publisher

    File URL: https://ejms.iseg.ulisboa.pt/files/2010_MIS-Assessing_benefits_and_risks_of_online_shopping_in_Spain_And_Scotland.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ralph L. Keeney, 1999. "The Value of Internet Commerce to the Customer," Management Science, INFORMS, vol. 45(4), pages 533-542, April.
    2. Koyuncu, Cuneyt & Bhattacharya, Gautam, 2004. "The impacts of quickness, price, payment risk, and delivery issues on on-line shopping," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 33(2), pages 241-251, April.
    3. Bhatnagar, Amit & Ghose, Sanjoy, 2004. "Segmenting consumers based on the benefits and risks of Internet shopping," Journal of Business Research, Elsevier, vol. 57(12), pages 1352-1360, December.
    4. Lee, Khai Sheang & Tan, Soo Jiuan, 2003. "E-retailing versus physical retailing: A theoretical model and empirical test of consumer choice," Journal of Business Research, Elsevier, vol. 56(11), pages 877-885, November.
    5. Ping, Robert Jr., 2004. "On assuring valid measures for theoretical models using survey data," Journal of Business Research, Elsevier, vol. 57(2), pages 125-141, February.
    6. Forsythe, Sandra M. & Shi, Bo, 2003. "Consumer patronage and risk perceptions in Internet shopping," Journal of Business Research, Elsevier, vol. 56(11), pages 867-875, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. PUDARUTH Sharmila & BUSVIAH Dhanishta, 2018. "Developing And Testing A Pioneer Model For Online Shopping Behavior For Natural Flowers: Evidence From Mauritius," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 13(1), pages 128-147, December.

    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. Aghekyan-Simonian, Mariné & Forsythe, Sandra & Suk Kwon, Wi & Chattaraman, Veena, 2012. "The role of product brand image and online store image on perceived risks and online purchase intentions for apparel," Journal of Retailing and Consumer Services, Elsevier, vol. 19(3), pages 325-331.
    2. Cao, Xinyu & Mokhtarian, Patricia L., 2005. "The Intended and Actual Adoption of Online Purchasing: A Brief Review of Recent Literature," University of California Transportation Center, Working Papers qt5z75n416, University of California Transportation Center.
    3. Rotem-Mindali, Orit, 2010. "E-tail versus retail: The effects on shopping related travel empirical evidence from Israel," Transport Policy, Elsevier, vol. 17(5), pages 312-322, September.
    4. Patricea Elena BERTEA, 2015. "From Fearful To Trustful – How Perceived Risk Dimensions In E-Commerce Differentiate Between Consumers," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 15, pages 45-54, June.
    5. Liyuan Jiang & Quanxi Li & Xiaoding Wu, 2023. "The Impact of Clothing E-Store Image on Intention Based on Search and Purchase Phases: From the Perspective of Sustainable Marketing," Sustainability, MDPI, vol. 15(1), pages 1-20, January.
    6. Ahlert, Dieter & Evanschitzky, Heiner & Thesing, Miriam, 2006. "Kundentypologie in der Multikanalwelt: Ergebnisse einer Online- und Offline-Befragung," Working Papers 44, University of Münster, Competence Center Internet Economy and Hybrid Systems, European Research Center for Information Systems (ERCIS).
    7. Yang, Seungmi & Kwon, Youngsun, 2021. "Estimating the effects of Covid-19 and 5G in the submarkets of internet and mobile shopping," 23rd ITS Biennial Conference, Online Conference / Gothenburg 2021. Digital societies and industrial transformations: Policies, markets, and technologies in a post-Covid world 238061, International Telecommunications Society (ITS).
    8. Wirawan Dony Dahana & HeeJae Shin & Sotaro Katsumata, 2018. "Influence of individual characteristics on whether and how much consumers engage in showrooming behavior," Electronic Commerce Research, Springer, vol. 18(4), pages 665-692, December.
    9. Verstraeten, Julie & Heeremans, Eva & Geuens, Maggie & Vermeir, Iris, 2023. "How online grocery shopping drives private label food purchases," Journal of Business Research, Elsevier, vol. 167(C).
    10. Hilal Ozen & Ismail Kaya, 2013. "How Value Perception Affects Buying Intentions of Online Consumers?," Bogazici Journal, Review of Social, Economic and Administrative Studies, Bogazici University, Department of Economics, vol. 27(2), pages 11-29.
    11. Doris Morales-Solana & Irene Esteban-Millat & Alejandro Alegret Cotas, 2022. "Experiences in consumer flow in online supermarkets," Electronic Commerce Research, Springer, vol. 22(4), pages 1195-1226, December.
    12. Yang, Seungmi & Kwon, Youngsun, 2022. "Effects of mobile networks and Covid-19 on mobile shopping sales in South Korea," Telecommunications Policy, Elsevier, vol. 46(9).
    13. Kao, Karen C. & Rao Hill, Sally & Troshani, Indrit, 2021. "A cross-country comparison of online deal popularity effect," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    14. Elpida TENIDOU & Dimosthenis PAPPAS & Ioannis KAZANIDIS & Stavros VALSAMIDIS, 2016. "The Usage Of E-Commerce In The Area Of Evros, Greece," Scientific Bulletin - Economic Sciences, University of Pitesti, vol. 15(2), pages 3-19.
    15. Yin Ma & Athapol Ruangkanjanases & Shih-Chih Chen, 2019. "Investigating the Impact of Critical Factors on Continuance Intention towards Cross-Border Shopping Websites," Sustainability, MDPI, vol. 11(21), pages 1-17, October.
    16. Chang, En-Chi & Tseng, Ya-Fen, 2013. "Research note: E-store image, perceived value and perceived risk," Journal of Business Research, Elsevier, vol. 66(7), pages 864-870.
    17. Taylor, David G. & Strutton, David, 2010. "Has e-marketing come of age? Modeling historical influences on post-adoption era Internet consumer behaviors," Journal of Business Research, Elsevier, vol. 63(9-10), pages 950-956, September.
    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. Clemes, Michael D. & Gan, Christopher & Zhang, Junli, 2014. "An empirical analysis of online shopping adoption in Beijing, China," Journal of Retailing and Consumer Services, Elsevier, vol. 21(3), pages 364-375.
    20. Nepomuceno, Marcelo Vinhal & Laroche, Michel & Richard, Marie-Odile, 2014. "How to reduce perceived risk when buying online: The interactions between intangibility, product knowledge, brand familiarity, privacy and security concerns," Journal of Retailing and Consumer Services, Elsevier, vol. 21(4), pages 619-629.

    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:pjm:journl:v:xv:y:2010:i:2:p:161-172. 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: Luís Mota de Castro, Tiago Cardão-Pito, Mark Crathorne (email available below). General contact details of provider: https://edirc.repec.org/data/isutlpt.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.