IDEAS home Printed from https://ideas.repec.org/a/mir/mirbus/v5y2015i5p15-23.html
   My bibliography  Save this article

Exploring Customer Purchasing Intention over Online Store

Author

Listed:
  • Kae Tran My Loan

    (Asia Pacific University of Technology and Innovation, (APU), Malaysia,)

  • Benjamin Chan Yin Fah

    (Asia Pacific University of Technology & Innovation (APU), Malaysia, Research Fellow, Centre for the Study of the Economics of Ageing (CSEA), APU, Malaysia)

  • Behrang Samadi

    (Asia Pacific University of Technology & Innovation (APU), Malaysia)

Abstract

This study aims to examine the correlation among perceived benefits, perceived risks and perceived website quality towards online purchasing intention with one of the online store in Singapore. This study used online questionnaire survey to collect 180 completed responses of male and female Singaporean aged 20 and above. The findings showed that there was a significant correlation between perceived benefits, perceived website quality and online purchasing intention while there was no significant correlation between perceived risks and online purchasing intention. Implication and limitation of this study also discussed.

Suggested Citation

  • Kae Tran My Loan & Benjamin Chan Yin Fah & Behrang Samadi, 2015. "Exploring Customer Purchasing Intention over Online Store," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, vol. 5(5), pages 15-23, May.
  • Handle: RePEc:mir:mirbus:v:5:y:2015:i:5:p:15-23
    as

    Download full text from publisher

    File URL: http://thejournalofbusiness.org/index.php/site/article/view/736/520
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. I. Robert Chiang & Manuel A. Nunez, 2007. "Improving Web-Catalog Design for Easy Product Search," INFORMS Journal on Computing, INFORMS, vol. 19(4), pages 510-519, November.
    2. Jinsoo Park & Dongwon Lee & Joongho Ahn, 2004. "Risk-Focused E-Commerce Adoption Model: A Cross-Country Study," Journal of Global Information Technology Management, Taylor & Francis Journals, vol. 7(2), pages 6-30, April.
    3. Smith, Donnavieve N. & Sivakumar, K., 2004. "Flow and Internet shopping behavior: A conceptual model and research propositions," Journal of Business Research, Elsevier, vol. 57(10), pages 1199-1208, October.
    4. Overby, Jeffrey W. & Lee, Eun-Ju, 2006. "The effects of utilitarian and hedonic online shopping value on consumer preference and intentions," Journal of Business Research, Elsevier, vol. 59(10-11), pages 1160-1166, October.
    5. Patricea Elena BERTEA, 2010. "Scales For Measuring Perceived Risk In E-Commerce - Testing Influences On Reliability," Management and Marketing Journal, University of Craiova, Faculty of Economics and Business Administration, vol. 0(S1), pages 81-92, June.
    6. Park, Eun Joo & Kim, Eun Young & Funches, Venessa Martin & Foxx, William, 2012. "Apparel product attributes, web browsing, and e-impulse buying on shopping websites," Journal of Business Research, Elsevier, vol. 65(11), pages 1583-1589.
    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. Kae Tran My Loan & Benjamin Chan Yin Fah & Behrang Samadi, 2015. "Exploring Customer Purchasing Intention over Online Store," International Journal of Business and Social Research, LAR Center Press, vol. 5(5), pages 15-23, May.
    2. Jebarajakirthy, Charles & Shankar, Amit, 2021. "Impact of online convenience on mobile banking adoption intention: A moderated mediation approach," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    3. Maroufkhani, Parisa & Asadi, Shahla & Ghobakhloo, Morteza & Jannesari, Milad T. & Ismail, Wan Khairuzaman Wan, 2022. "How do interactive voice assistants build brands' loyalty?," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    4. Heesup Han & Wei Quan & Eloy Gil-Cordero & Juan-Pedro Cabrera-Sánchez & Jongsik Yu, 2021. "Performance of Retail Stores at Airports and Their Role in Boosting Traveler Satisfaction and Willingness to Repurchase," Sustainability, MDPI, vol. 13(2), pages 1-14, January.
    5. Park, Eun Joo & Kim, Eun Young & Funches, Venessa Martin & Foxx, William, 2012. "Apparel product attributes, web browsing, and e-impulse buying on shopping websites," Journal of Business Research, Elsevier, vol. 65(11), pages 1583-1589.
    6. Goel, Pooja & Parayitam, Satyanarayana & Sharma, Anuj & Rana, Nripendra P. & Dwivedi, Yogesh K, 2022. "A moderated mediation model for e-impulse buying tendency, customer satisfaction and intention to continue e-shopping," Journal of Business Research, Elsevier, vol. 142(C), pages 1-16.
    7. Kim, Jeeyeon & Kim, Mingyung & Choi, Jeonghye & Trivedi, Minakshi, 2019. "Offline social interactions and online shopping demand: Does the degree of social interactions matter?," Journal of Business Research, Elsevier, vol. 99(C), pages 373-381.
    8. Teck-Chai Lau & Tat-Huei Cham & David Ching-Yat Ng, 2018. "How Susceptible are Consumers in Impulse Purchasing Ready-to-Drink Products? Evidence from Malaysia," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 8(6), pages 429-444, June.
    9. Park, JungKun & Ahn, Jiseon & Thavisay, Toulany & Ren, Tianbao, 2019. "Examining the role of anxiety and social influence in multi-benefits of mobile payment service," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 140-149.
    10. Namin, Aidin & Soysal, Gonca P. & Ratchford, Brian T., 2022. "Alleviating demand uncertainty for seasonal goods: An analysis of attribute-based markdown policy for fashion retailers," Journal of Business Research, Elsevier, vol. 145(C), pages 671-681.
    11. Lee, Richard J. & Sener, Ipek N. & Mokhtarian, Patricia L. & Handy, Susan L., 2017. "Relationships between the online and in-store shopping frequency of Davis, California residents," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 40-52.
    12. Polat Can & Ilker Çetin, 2017. "A Research on the Comparison of the Effect of Benefits Obtained from Social Media Marketing to Brand Commitment in Terms of Domestic and Foreign Consumers," International Business Research, Canadian Center of Science and Education, vol. 10(2), pages 29-42, February.
    13. Hsu, Sheila Hsuan-Yu & Tsou, Hung-Tai & Chen, Ja-Shen, 2021. "“Yes, we do. Why not use augmented reality?†customer responses to experiential presentations of AR-based applications," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    14. Raouf Jaziri & Mohammad Miralam, 2019. "Modelling the crowdfunding technology adoption among novice entrepreneurs: an extended tam model," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 6(4), pages 2159-2179, June.
    15. Canova, Luciano & Nicolini, Marcella, 2019. "Online price search across desktop and mobile devices: Evidence on cyberslacking and weather effects," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 32-39.
    16. Yang Zhao & Yixuan Li & Ning Wang & Ruoxin Zhou & Xin (Robert) Luo, 2022. "A Meta-Analysis of Online Impulsive Buying and the Moderating Effect of Economic Development Level," Information Systems Frontiers, Springer, vol. 24(5), pages 1667-1688, October.
    17. Carlson, Jamie & Rahman, Mohammad M. & Taylor, Alexander & Voola, Ranjit, 2019. "Feel the VIBE: Examining value-in-the-brand-page-experience and its impact on satisfaction and customer engagement behaviours in mobile social media," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 149-162.
    18. Merle, Aurélie & St-Onge, Anik & Sénécal, Sylvain, 2022. "Does it pay to be honest? The effect of retailer-provided negative feedback on consumers’ product choice and shopping experience," Journal of Business Research, Elsevier, vol. 147(C), pages 532-543.
    19. Nguyen-Phuoc, Duy Quy & Vo, Nguyen S. & Su, Diep Ngoc & Nguyen, Vinh Hoang & Oviedo-Trespalacios, Oscar, 2021. "What makes passengers continue using and talking positively about ride-hailing services? The role of the booking app and post-booking service quality," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 367-384.
    20. Hatice Doğan-Südaş & Ali Kara & Emre Karaca, 2023. "Effects of Gamified Mobile Apps on Purchase Intentions and Word-of-Mouth Engagement: Implications for Sustainability Behavior," Sustainability, MDPI, vol. 15(13), pages 1-17, July.

    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:mir:mirbus:v:5:y:2015:i:5:p:15-23. 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: M Kabir (email available below). General contact details of provider: https://edirc.repec.org/data/csmirus.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.