IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i17p7108-d406634.html
   My bibliography  Save this article

Investigating Factors Influencing the Behavioral Intention of Online Duty-Free Shop Users

Author

Listed:
  • Yu-Jin Choi

    (Airport Industry Technology Research Institute, Incheon International Airport Corporation, Incheon 22384, Korea)

  • Jin-Woo Park

    (School of Business, Korea Aerospace University, Goyang-si 10540, Korea)

Abstract

Korean duty-free shops sales rank first among duty-free shops around the world (Generation Research, 2018) and have become a target of interest for academics and industry observers. In particular, attention has been focused on variables affecting the shopping behavior of this fast-growing segment of online duty-free shop users. In this research, the main variables of the technology innovation acceptance model and the target-oriented behavior model are added. Focus is placed on the decomposed theory of planned behavior, and the variables affecting the behavioral intention are identified. A survey is conducted with users of online duty-free shops (Internet, mobile) as targets, and an analysis of the structural equation model is utilized. Among the technology innovation acceptance variables, the factors affecting attitude are compatibility and perceived usefulness. It is determined that only perceived behavioral control has a significant effect on behavioral intention, which is a dependent variable of the decomposed theory of planned behavior, and the attitude and subjective norms are found to have a significant effect on both desire and behavioral intention. Thus, it is confirmed that attitude is a key variable in explaining this research model. This research has academic implications because it examines variables affecting the behavioral intention of online duty-free shop users by integrating the theory of technology innovation acceptance and the decomposed theory of planned behavior, with the addition of a desire variable. Moreover, there are practical implications in that online duty-free shop operators have provided meaningful basic data to establish differentiated marketing strategies from offline duty-free shops with the goal of expanding use. The results of this study are expected to serve as basic data for increasing the behavioral intention of online duty-free shop users and promoting the sustainable development of online duty-free shops in South Korea.

Suggested Citation

  • Yu-Jin Choi & Jin-Woo Park, 2020. "Investigating Factors Influencing the Behavioral Intention of Online Duty-Free Shop Users," Sustainability, MDPI, vol. 12(17), pages 1-20, August.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:17:p:7108-:d:406634
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/17/7108/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/17/7108/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marco Josef Koeder & Upal Mohammed & Philip Sugai, 2011. "Study of consumer attitudes towards connected reader devices in Japan based on the decomposed Theory of Planned Behavior," Working Papers EMS_2011_10, Research Institute, International University of Japan.
    2. Yang, Kiseol, 2012. "Consumer technology traits in determining mobile shopping adoption: An application of the extended theory of planned behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 19(5), pages 484-491.
    3. Teo, Thompson S. H. & Lim, Vivien K. G. & Lai, Raye Y. C., 1999. "Intrinsic and extrinsic motivation in Internet usage," Omega, Elsevier, vol. 27(1), pages 25-37, February.
    4. Jon Hartwick & Henri Barki, 1994. "Explaining the Role of User Participation in Information System Use," Management Science, INFORMS, vol. 40(4), pages 440-465, April.
    5. Shimp, Terence A & Kavas, Alican, 1984. "The Theory of Reasoned Action Applied to Coupon Usage," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 11(3), pages 795-809, December.
    6. Alberto Cavallo, 2017. "Are Online and Offline Prices Similar? Evidence from Large Multi-channel Retailers," American Economic Review, American Economic Association, vol. 107(1), pages 283-303, January.
    7. Rodgers, Shelly & Harris, Mary Ann, 2003. "Gender and E-Commerce: An Exploratory Study," Journal of Advertising Research, Cambridge University Press, vol. 43(3), pages 322-329, September.
    8. Song, Hak Jun & Lee, Choong-Ki & Kang, Soo K. & Boo, Sug-jin, 2012. "The effect of environmentally friendly perceptions on festival visitors’ decision-making process using an extended model of goal-directed behavior," Tourism Management, Elsevier, vol. 33(6), pages 1417-1428.
    9. Randolph B. Cooper & Robert W. Zmud, 1990. "Information Technology Implementation Research: A Technological Diffusion Approach," Management Science, INFORMS, vol. 36(2), pages 123-139, February.
    10. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    11. Madhavan Parthasarathy & Anol Bhattacherjee, 1998. "Understanding Post-Adoption Behavior in the Context of Online Services," Information Systems Research, INFORMS, vol. 9(4), pages 362-379, December.
    12. Vandecasteele, Bert & Geuens, Maggie, 2010. "Motivated Consumer Innovativeness: Concept, measurement, and validation," International Journal of Research in Marketing, Elsevier, vol. 27(4), pages 308-318.
    13. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    14. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    15. Thomas P. Novak & Donna L. Hoffman & Yiu-Fai Yung, 2000. "Measuring the Customer Experience in Online Environments: A Structural Modeling Approach," Marketing Science, INFORMS, vol. 19(1), pages 22-42, May.
    16. Marios Koufaris, 2002. "Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior," Information Systems Research, INFORMS, vol. 13(2), pages 205-223, June.
    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. Hari Tri Wibowo, 2020. "The effect of e-local tax return usage towards local tax compliance," Journal of Contemporary Accounting, Master in Accounting Program, Faculty of Business & Economics, Universitas Islam Indonesia, Yogyakarta, Indonesia, vol. 2(2), pages 81-96, May.
    2. Le Tung Bach, 2023. "The behavioral intention to adopt Proptech services in Vietnam real estate market," Papers 2312.06994, arXiv.org.
    3. Xiaoqian Sun & Sebastian Wandelt, 2021. "Robustness of Air Transportation as Complex Networks:Systematic Review of 15 Years of Research and Outlook into the Future," Sustainability, MDPI, vol. 13(11), pages 1-19, June.
    4. Dong Zhang & Pengkun Wu & Chong Wu & Eric W. T. Ngai, 2024. "Forecasting duty-free shopping demand with multisource data: a deep learning approach," Annals of Operations Research, Springer, vol. 339(1), pages 861-887, August.

    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. Andrei OGREZEANU, 2015. "Models Of Technology Adoption: An Integrative Approach," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 5, pages 55-67, June.
    2. repec:dau:papers:123456789/13000 is not listed on IDEAS
    3. Jui-Che Tu & Chi-Ling Hu, 2018. "A Study on the Factors Affecting Consumers’ Willingness to Accept Clothing Rentals," Sustainability, MDPI, vol. 10(11), pages 1-30, November.
    4. Oguz YILDIZ & Hakan KITAPCI, 2018. "Exploring Factors Affecting Consumers¡¯ Adoption of Shopping via Mobile Applications in Turkey," International Journal of Marketing Studies, Canadian Center of Science and Education, vol. 10(2), pages 60-75, June.
    5. Hsu, Chin-Lung & Lu, Hsi-Peng & Hsu, Huei-Hsia, 2007. "Adoption of the mobile Internet: An empirical study of multimedia message service (MMS)," Omega, Elsevier, vol. 35(6), pages 715-726, December.
    6. repec:dau:papers:123456789/12445 is not listed on IDEAS
    7. Arijit Bhattacharya & Manjari Srivastava, 2020. "A Framework of Online Customer Experience: An Indian Perspective," Global Business Review, International Management Institute, vol. 21(3), pages 800-817, June.
    8. Anastasiou Kartas & Sigi Goode, 2012. "Use, perceived deterrence and the role of software piracy in video game console adoption," Information Systems Frontiers, Springer, vol. 14(2), pages 261-277, April.
    9. Chang-Su Kim & Eun-Hai Oh & Kyung Yang & Jae Kim, 2010. "The appealing characteristics of download type mobile games," Service Business, Springer;Pan-Pacific Business Association, vol. 4(3), pages 253-269, December.
    10. Amy Wenxuan Ding & Shibo Li & Patrali Chatterjee, 2015. "Learning User Real-Time Intent for Optimal Dynamic Web Page Transformation," Information Systems Research, INFORMS, vol. 26(2), pages 339-359, June.
    11. MinJae Lee & JinKyu Lee, 2012. "The impact of information security failure on customer behaviors: A study on a large-scale hacking incident on the internet," Information Systems Frontiers, Springer, vol. 14(2), pages 375-393, April.
    12. Do Giang Nguyen & Minh-Tri Ha, 2022. "What Makes Users Continue to Want to Use the Digital Platform? Evidence From the Ride-Hailing Service Platform in Vietnam," SAGE Open, , vol. 12(1), pages 21582440211, January.
    13. Chang, Yung-Chi & Enkhjargal, Uguumur & Huang, Chen-I & Lin, Wen-Ling & Ho, Chi-Ming, 2020. "Factors Affecting the Internet Banking Adoption," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 54(3), pages 117-131.
    14. Marzieh Zendehdel & Laily Hj Paim & Syuhaily Bint Osman, 2015. "Students’ online purchasing behavior in Malaysia: Understanding online shopping attitude," Cogent Business & Management, Taylor & Francis Journals, vol. 2(1), pages 1078428-107, December.
    15. Abdolrazagh Madahi & Inda Sukati, 2016. "An Empirical Study of Malaysian Consumers’ Channel-switching Intention: Using theory of Planned Behaviour," Global Business Review, International Management Institute, vol. 17(3), pages 489-523, June.
    16. Yong‐Mi Kim, 2010. "The adoption of university library Web site resources: A multigroup analysis," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(5), pages 978-993, May.
    17. repec:dau:papers:123456789/13613 is not listed on IDEAS
    18. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    19. Agarwal, Reeti & Rastogi, Sanjay & Mehrotra, Ankit, 2009. "Customers’ perspectives regarding e-banking in an emerging economy," Journal of Retailing and Consumer Services, Elsevier, vol. 16(5), pages 340-351.
    20. Heetae Yang & Hwansoo Lee, 2018. "Exploring user acceptance of streaming media devices: an extended perspective of flow theory," Information Systems and e-Business Management, Springer, vol. 16(1), pages 1-27, February.
    21. Jullie Jeanette Sondakh, 2017. "Behavioral Intention to Use E-Tax Service System: An Application of Technology Acceptance Model," European Research Studies Journal, European Research Studies Journal, vol. 0(2A), pages 48-64.
    22. Nedra, Bahri-Ammari & Hadhri, Walid & Mezrani, Mariem, 2019. "Determinants of customers' intentions to use hedonic networks: The case of Instagram," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 21-32.
    23. Heetae Yang & Hwansoo Lee, 0. "Exploring user acceptance of streaming media devices: an extended perspective of flow theory," Information Systems and e-Business Management, Springer, vol. 0, pages 1-27.

    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:gam:jsusta:v:12:y:2020:i:17:p:7108-:d:406634. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.