IDEAS home Printed from https://ideas.repec.org/a/sgm/jmcbem/v1i9y2019p42-57.html
   My bibliography  Save this article

The growth of e-commerce has highlighted the importance of express courier service (ECS). We empirically study consumer’s choice of ECS in purchasing goods online. This research aims to examine the effect of service quality (SQ), shipping cost, brand, and attitude towards customers’ intention to choose ECS on e-commerce. This research was conducted using a quantitative approach among customers who intended their goods to be shipped using ECS. Data of 100 respondents were collected and then analyzed using the structural equation model technique. We fi nd that there is no correlation between SQ and shipping cost and the attitude towards choosing a courier service. However, the analysis indicates that brand has an infl uence on the customer’s attitude towards choosing a courier service. Furthermore, the analysis suggests that the consumer’s attitude towards choosing a courier service acts as a mediator between SQ, shipping cost, and brand as regards the consumer’s intention to choose an ECS. It is worth noting that brand has a stronger infl uence on the consumer’s attitude compared to the former factors

Author

Listed:
  • Wiryanta Muljono

    (Graduate School of Communication Sciences InterStudi, Indonesia)

  • Sri Setiyawati

    (Graduate School of Communication Sciences InterStudi, Indonesia)

Abstract

No abstract is available for this item.

Suggested Citation

  • Wiryanta Muljono & Sri Setiyawati, 2019. "The growth of e-commerce has highlighted the importance of express courier service (ECS). We empirically study consumer’s choice of ECS in purchasing goods online. This research aims to examine the ef," Journal of Marketing and Consumer Behaviour in Emerging Markets, University of Warsaw, Faculty of Management, vol. 1(9), pages 42-57.
    • Handle: RePEc:sgm:jmcbem:v:1:i:9:y:2019:p:42-57
    as

    Download full text from publisher

    File URL: http://www.wz.uw.edu.pl/portaleFiles/5708-journal-of-m/no_9/JMCBEM_1(9)_Muljono.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    2. Sarv Devaraj & Ming Fan & Rajiv Kohli, 2002. "Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics," Information Systems Research, INFORMS, vol. 13(3), pages 316-333, September.
    3. Hussain, Rahim & Al Nasser, Amjad & Hussain, Yomna K., 2015. "Service quality and customer satisfaction of a UAE-based airline: An empirical investigation," Journal of Air Transport Management, Elsevier, vol. 42(C), pages 167-175.
    4. Gregory R. Heim & Kingshuk K. Sinha, 2001. "Operational Drivers of Customer Loyalty in Electronic Retailing: An Empirical Analysis of Electronic Food Retailers," Manufacturing & Service Operations Management, INFORMS, vol. 3(3), pages 264-271, July.
    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. Cho, Yun Kyung, 2015. "Creating customer repurchase intention in Internet retailing: The effects of multiple service events and product type," Journal of Retailing and Consumer Services, Elsevier, vol. 22(C), pages 213-222.
    2. repec:dgr:rugsom:04f04 is not listed on IDEAS
    3. Faqih, Khaled M.S., 2016. "An empirical analysis of factors predicting the behavioral intention to adopt Internet shopping technology among non-shoppers in a developing country context: Does gender matter?," Journal of Retailing and Consumer Services, Elsevier, vol. 30(C), pages 140-164.
    4. Liébana-Cabanillas, Francisco & Marinkovic, Veljko & Ramos de Luna, Iviane & Kalinic, Zoran, 2018. "Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 117-130.
    5. Wu, Ing-Long, 2013. "The antecedents of customer satisfaction and its link to complaint intentions in online shopping: An integration of justice, technology, and trust," International Journal of Information Management, Elsevier, vol. 33(1), pages 166-176.
    6. Chung-Ho Su, 2018. "Exploring Sustainability Environment Educational Design and Learning Effect Evaluation through Migration Theory: An Example of Environment Educational Serious Games," Sustainability, MDPI, vol. 10(10), pages 1-26, September.
    7. Li, Feng & Lu, Hui & Hou, Meiqian & Cui, Kangle & Darbandi, Mehdi, 2021. "Customer satisfaction with bank services: The role of cloud services, security, e-learning and service quality," Technology in Society, Elsevier, vol. 64(C).
    8. Alireza Abroud & Yap Choong & Saravanan Muthaiyah & David Fie, 2015. "Adopting e-finance: decomposing the technology acceptance model for investors," Service Business, Springer;Pan-Pacific Business Association, vol. 9(1), pages 161-182, March.
    9. Nguyen Hong Quan & Nguyen Thi Binh & Bui Thi Ly, 2022. "Impact of smart locker use on customer satisfaction of online shoppers in Vietnam," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-11, December.
    10. Wajeeha Aslam & Marija Ham & Imtiaz Arif, 2017. "Consumer Behavioral Intentions towards Mobile Payment Services: An Empirical Analysis in Pakistan," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 29(2), pages 161-176.
    11. Cansu TÜRKER & Abdullah OKUMUŞ, 2019. "Mobil Ödeme Kullanımına Yönelik Niyet ve Algıların SosyoDemografik Özelliklere Göre Farklılıklarının İncelenmesi," Istanbul Management Journal, Istanbul University Business School, vol. 0(87), pages 111-139, December.
    12. Christophe Bezes, 2009. "E-Commerce Website Evaluation: A Critical Review," Working Papers hal-00611008, HAL.
    13. Hsiao, Chun Hua & Yang, Chyan, 2011. "The intellectual development of the technology acceptance model: A co-citation analysis," International Journal of Information Management, Elsevier, vol. 31(2), pages 128-136.
    14. Abbes, Intissar & Hallem, Yousra & Taga, Nadia, 2020. "Second-hand shopping and brand loyalty: The role of online collaborative redistribution platforms," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    15. Brown, Susan A. & Venkatesh, Viswanath & Kuruzovich, Jason & Massey, Anne P., 2008. "Expectation confirmation: An examination of three competing models," Organizational Behavior and Human Decision Processes, Elsevier, vol. 105(1), pages 52-66, January.
    16. Broekhuizen, Thijs L.J. & Jager, Wander, 2004. "A conceptual model of channel choice: measuring online and offline shopping value perceptions," Research Report 04F04, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    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. Normalini Md Kassim & T. Ramayah, 2015. "Perceived Risk Factors Influence on Intention to Continue Using Internet Banking among Malaysians," Global Business Review, International Management Institute, vol. 16(3), pages 393-414, June.
    19. Z Liao & W K Wong, 2008. "The determinants of customer interactions with internet-enabled e-banking services," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(9), pages 1201-1210, September.
    20. Rahimizhian, Sima & Ozturen, Ali & Ilkan, Mustafa, 2020. "Emerging realm of 360-degree technology to promote tourism destination," Technology in Society, Elsevier, vol. 63(C).
    21. Bèzes, Christophe, 2014. "Definition and psychometric validation of a measurement index common to website and store images," Journal of Business Research, Elsevier, vol. 67(12), pages 2559-2578.

    More about this item

    Keywords

    service quality; shipping cost; brand; attitude; intentions; express courier service; e-commerce;
    All these keywords.

    JEL classification:

    • M39 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Other
    • Y90 - Miscellaneous Categories - - Other - - - Other

    Statistics

    Access and download statistics

    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:sgm:jmcbem:v:1:i:9:y:2019:p:42-57. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/somuwpl.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.