IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i5p4477-d1085909.html
   My bibliography  Save this article

Factors Affecting Filipino Consumer Behavior with Korean Products and Services: An Extended Theory of Planned Behavior Approach

Author

Listed:
  • Cristel Joy G. Cayaban

    (School of Industrial Engineering and Engineering Management, Mapúa University, Manila 1002, Philippines
    School of Graduate Studies, Mapúa University, 658 Muralla St., Intramuros, Manila 1002, Philippines)

  • Yogi Tri Prasetyo

    (International Bachelor Program in Engineering, Yuan Ze University, 135 Yuan-Tung Road, Chung-Li 32003, Taiwan
    Department of Industrial Engineering and Management, Yuan Ze University, 135 Yuan-Tung Road, Chung-Li 32003, Taiwan)

  • Satria Fadil Persada

    (Entrepreneurship Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Malang 65154, Indonesia)

  • Klint Allen Mariñas

    (School of Industrial Engineering and Engineering Management, Mapúa University, Manila 1002, Philippines
    Department of Industrial and Systems Engineering, Chung Yuan Christian University, Taoyuan 32023, Taiwan)

  • Reny Nadlifatin

    (Department of Information Systems, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo, Surabaya 60111, Indonesia)

  • Rianina D. Borres

    (School of Industrial Engineering and Engineering Management, Mapúa University, Manila 1002, Philippines)

  • Ma. Janice J. Gumasing

    (School of Industrial Engineering and Engineering Management, Mapúa University, Manila 1002, Philippines)

Abstract

Korean entertainment industries are dominating all over the world, including in the Philippines. These celebrated mediums included Korean movies, songs, and products, many of which are beloved by Filipinos. As such, this study aims to determine factors that affect the buying decisions of Filipinos with Korean products and services by an extended theory of planned behavior (TPB) approach. A total of 306 Filipino survey participants were collected and analyzed in this study through a convenience sampling approach. Structural equation modeling (SEM) was utilized to analyze the data using SmartPLS, which determined the correlation of the latent constructs of the factors. Based on the results, attitude had the highest effect on behavioral intention, followed by K-drama influence, K-pop influence, and product quality. Interestingly, product price was found to have a low effect on behavioral intention. This study can serve as a basis for investors and business owners to align business strategies concerning consumer behavior in buying Korean products and services.

Suggested Citation

  • Cristel Joy G. Cayaban & Yogi Tri Prasetyo & Satria Fadil Persada & Klint Allen Mariñas & Reny Nadlifatin & Rianina D. Borres & Ma. Janice J. Gumasing, 2023. "Factors Affecting Filipino Consumer Behavior with Korean Products and Services: An Extended Theory of Planned Behavior Approach," Sustainability, MDPI, vol. 15(5), pages 1-14, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:4477-:d:1085909
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/5/4477/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/5/4477/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhang, Ruonan & Chang Bi, Nicky & Kodzi, Papaa & Goodwin, Alana & Wasilewski, Klaudia & Mccurdy, Eiko, 2020. "From K-pop to Korean products: An investigation into the mediating effects of imitation and attitudes toward Korean culture and products," Journal of Cultural Marketing Strategy, Henry Stewart Publications, vol. 5(1), pages 36-48, September.
    2. Sheth, Jagdish, 2020. "Impact of Covid-19 on consumer behavior: Will the old habits return or die?," Journal of Business Research, Elsevier, vol. 117(C), pages 280-283.
    3. Prince Clement Addo & Fang Jiaming & Nora Bakabbey Kulbo & Li Liangqiang, 2020. "COVID-19: fear appeal favoring purchase behavior towards personal protective equipment," The Service Industries Journal, Taylor & Francis Journals, vol. 40(7-8), pages 471-490, June.
    4. Shu-Chiang Lin & Reny Nadlifatin & Anis Rahmawati Amna & Satria Fadil Persada & Mohammad Razif, 2017. "Investigating Citizen Behavior Intention on Mandatory and Voluntary Pro-Environmental Programs through a Pro-Environmental Planned Behavior Model," Sustainability, MDPI, vol. 9(7), pages 1-15, July.
    5. Essamri, Azzouz & McKechnie, Sally & Winklhofer, Heidi, 2019. "Co-creating corporate brand identity with online brand communities: A managerial perspective," Journal of Business Research, Elsevier, vol. 96(C), pages 366-375.
    6. Petty, Richard E & Cacioppo, John T & Schumann, David, 1983. "Central and Peripheral Routes to Advertising Effectiveness: The Moderating Role of Involvement," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 10(2), pages 135-146, September.
    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. Herjanto, Halimin & Amin, Muslim & Purington, Elizabeth F., 2021. "Panic buying: The effect of thinking style and situational ambiguity," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    2. Jiang, Yangyang & Stylos, Nikolaos, 2021. "Triggers of consumers’ enhanced digital engagement and the role of digital technologies in transforming the retail ecosystem during COVID-19 pandemic," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    3. João Coelho Soares & Ricardo Limongi & João Henriques De Sousa Júnior & Weverson Soares Santos & Michele Raasch & Lenoir Hoeckesfeld, 2023. "Assessing the effects of COVID-19-related risk on online shopping behavior," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(1), pages 82-94, March.
    4. Tiyachareonsri, Sirikunya & Chavarnakul, Thira & Chandrachai, Achara & Triukose, Sipat, 2024. "How consumer preference determines site selection in a metropolitan setting: Analysis of retailer perspective to stay ahead of the competition in the aftermath of a large-scale crisis," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    5. Stephan Leitner & Bartosz Gula & Dietmar Jannach & Ulrike Krieg-Holz & Friederike Wall, 2021. "Understanding the dynamics emerging from infodemics: a call to action for interdisciplinary research," SN Business & Economics, Springer, vol. 1(1), pages 1-18, January.
    6. Eger, Ludvík & Komárková, Lenka & Egerová, Dana & MiÄ Ã­k, Michal, 2021. "The effect of COVID-19 on consumer shopping behaviour: Generational cohort perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    7. Stanca, Liana & Dabija, Dan-Cristian & Câmpian, Veronica, 2023. "Qualitative analysis of customer behavior in the retail industry during the COVID-19 pandemic: A word-cloud and sentiment analysis approach," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    8. Ghaffari, Reza & Cheng, Kequn, 2022. "Effects of Covid-19 Pandemic on Online Shopping Behavior in Iran," OSF Preprints f9wng, Center for Open Science.
    9. Del Barrio-García, Salvador & Kamakura, Wagner A. & Luque-Martínez, Teodoro, 2019. "A Longitudinal Cross-product Analysis of Media-budget Allocations: How Economic and Technological Disruptions Affected Media Choices Across Industries," Journal of Interactive Marketing, Elsevier, vol. 45(C), pages 1-15.
    10. Kareklas, Ioannis & Muehling, Darrel D. & King, Skyler, 2019. "The effect of color and self-view priming in persuasive communications," Journal of Business Research, Elsevier, vol. 98(C), pages 33-49.
    11. Stallen, Mirre & Smidts, Ale & Rijpkema, Mark & Smit, Gitty & Klucharev, Vasily & Fernández, Guillén, 2010. "Celebrities and shoes on the female brain: The neural correlates of product evaluation in the context of fame," Journal of Economic Psychology, Elsevier, vol. 31(5), pages 802-811, October.
    12. Ali Zackery & Joseph Amankwah-Amoah & Zahra Heidari Darani & Shiva Ghasemi, 2022. "COVID-19 Research in Business and Management: A Review and Future Research Agenda," Sustainability, MDPI, vol. 14(16), pages 1-32, August.
    13. O'Cass, A., 2000. "An assessment of consumers product, purchase decision, advertising and consumption involvement in fashion clothing," Journal of Economic Psychology, Elsevier, vol. 21(5), pages 545-576, October.
    14. Funk, Daniel C. & Haugtvedt, Curtis P. & Howard, Dennis R., 2000. "Contemporary Attitude Theory in Sport: Theoretical Considerations and Implications," Sport Management Review, Elsevier, vol. 3(2), pages 125-144, November.
    15. Xiang Lin & Martin Thomas Falk, 2022. "Nordic stock market performance of the travel and leisure industry during the first wave of Covid-19 pandemic," Tourism Economics, , vol. 28(5), pages 1240-1257, August.
    16. Jakina Debnam, 2017. "Selection Effects and Heterogeneous Demand Responses to the Berkeley Soda Tax Vote," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(5), pages 1172-1187.
    17. Li, Hui & Xu, Yunjie & Huang, Lihua, 2021. "When less is more? The contingent effect of product supply limitation in the release of new electronic products," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    18. Christophe Bezes, 2011. "Types de risques perçus et réducteurs de risques dans le commerce électronique : le cas du site Fnac.com," Post-Print hal-02086726, HAL.
    19. Jie Feng & Jian Li & Wuyang Hu & Gucheng Li, 2022. "Public Interest, Risk, Trust, and Personal Protective Equipment Purchase and Usage: Face Masks Amid the COVID-19 Pandemic," IJERPH, MDPI, vol. 19(9), pages 1-16, May.
    20. Elena Bonel & Mauro Capestro & Eleonora Di Maria, 2023. "How COVID-19 impacted cultural consumption: an explorative analysis of Gen Z’s digital museum experiences," Italian Journal of Marketing, Springer, vol. 2023(2), pages 135-160, June.

    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:15:y:2023:i:5:p:4477-:d:1085909. 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.