Structural equation model on determinants of intention to use e-commerce

Authors

  • Jun R. Grimaldo University of Santo Tomas, Philippines
  • Chin Uy University of Santo Tomas, Philippines
  • Ronaldo A. Manalo University of Santo Tomas, Philippines

DOI:

https://doi.org/10.32890/jcia2023.2.2.2

Keywords:

attitude, intention to use, risk, SEM, trust

Abstract

Although e-commerce is being utilised, its application expanded exponentially during the pandemic due to government restrictions on mobility. Most of the existing literature points to the effect of perceived usefulness and ease of use toward attitudes that affect the intention to use technology. Issues surface relative to the effect of customers' trust in the system and the risks involved. Using Structural Equation Modelling (SEM), the study aimed to investigate the effect of these factors on users' intention to use online shopping. Specifically, it looks into the effect of trust and risk on attitude and intention. Results established that trust affects attitude but not intention, while risk did not significantly affect both. With the online experience over time, consumers generally view e-commerce as easy and useful, especially in acquiring significant information about the product and services and navigating through e-commerce tools. The respondents are aware that there is risk in online transactions such that they prefer to pay cash or GCash upon delivery. However, the effect of risk was not supported partly due to the mobility restrictions during the pandemic. This highlights the need to improve e-commerce designs for consumer protection and more pronounced government policies on online transactions.

References

Aa, Y., Jaafari, M., & Belhcen, L. (2020). Factors affecting the online purchase intention during COVID-19 Crisis: The case of Morocco. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3734389

Akat, M., & Karataş, K. (2020). Psychological Effects of COVID-19 Pandemic on Society and Its Reflections on Education. Turkish Studies, 15(4), 1-13. https://dx.doi.org/10.7827/TurkishStudies.44336

Alaeddin, O., & Altounjy, R. (2018). Trust, technology awareness and satisfaction effect into the intention to use cryptocurrency among generation Z in Malaysia. International Journal of Engineering and Technology, 7, 8-10.

Al-Hattami, H.M. (2021). Determinants of intention to continue usage of online shopping under a pandemic: COVID-19. Cogent Business & Management, 8(1). https://doi.org/10.1080/23311975.2021.1936368

Ali, B.J., Saleh, P.F., Akoi, S., Abdulrahman, A.A., Muhammed, A.S., Noori, H.N., & Anwar, G. (2021). Impact of service quality on the customer satisfaction: Case study at online meeting platforms. International Journal of Engineering, Business and Management, 5(2), 65-77. https://dx.doi.org/10.22161//ijebm.5.2

Bhatti, A., Akram, H., Basit, M., Khan, A.U., Mahwish, S., Naqvi, R., & Bilal, M. (2020). E-commerce trends during COVID-19 Pandemic. International Journal of Future Generation Communication and Networking, 13(2), 1449-1452.

Bostan, S., Erdem, R., Öztürk, Y.E., Kılıç, T., & Yılmaz, A. (2020). The Effect of COVID-19 Pandemic on the Turkish Society. Electronic Journal of General Medicine, 17(6), em237 e-ISSN: 2516-3507

Dachyar, M., & Banjarnahor, L. (2017). Factors influencing purchase intention towards consumer-to-consumer e-commerce. Intangible Capital, 13(5). 10.3926/ic.1119.

Department of Trade and Industry, Philippines. Understanding e-commerce in the Philippines, retrieved March 9, 2023. https://ecommerce.dti.gov.ph/madali/ecommerce_numbers.html

Donthu, N., & Gustafsson, A. (2020). Effects of COVID-19 on business and research. Journal of Business Research, 117, 284–289.

Eyuboglu, K., & Sevim, U. (2017). Determinants of contactless credit cards acceptance in Turkey. International Journal of Management Economics and Business, 13(2). http://dx.doi.org/10.17130/ijmeb.2017228687.

Gavin, B., Lyne, J., & McNicholas, F. (2020). Mental health and the COVID-19 pandemic. Irish Journal of Psychological Medicine, 37(3), 156-158. https://doi.org/10.1017/ipm.2020.72

Grimaldo, J. R. & Uy, C. (2020). Factors affecting recruitment officers’ intention to use online tools. Review of Integrative Business and Economics Research, 9(1), 194-208.

Hariwibowo, N. I. (2017). The Influence of Personality on the Decision to Use a Technology (Study at Lecturer Profession). Review of Integrative Business and Economics Research, 6(2), 274-294.

Ho, J. C., Wu, C. G., Lee, C. S., & Pham, T. T. (2020). Factors affecting the behavioral intention to adopt mobbing banking: An international comparison. Technology in Society, 63.

Kalinic, Z., Marinkovic, V., Molinillo, S., & Liebana-Cabanillas. (2019). A multi-analytical approach to peer-to-peer mobile payment acceptance prediction. Journal of Retailing and Consumer Services, 49, 143-153.

Kawasaki, T., Wakashima, H., & Shibasaki, R. (2022). The use of e-commerce and the COVID-19 outbreak: A panel data analysis in Japan. Transport Policy, 115, 88-100.

Lee, E. Y., Lee, S. B., & Jeon, Y. J. J. (2017). Factors Influencing the behavioral intention to use food delivery apps. Social Behavior and Personality, 45(9), 1461–1474. https://doi.org/10.2224/sbp.6185

Le-Hoang, Phuong Viet. (2020). Factors affecting online purchase intention: The case of e-commerce on Lazada. Independent Journal of Management & Production, 11(3), 1018. https://doi.org/10.14807/ijmp.v11i3.1088.

Li, J., Wang, J., Wangh, S., & Zhou, Y. (2019). Mobile payment with Alipay: An application of extended Technology Acceptance Model. IEEE Access, 7.

Lwoga, E. T., & Lwoga, N. B. (2017). User acceptance of mobile payment: The effects of user-centric security, system characteristics and gender. EJISDC, 81(3), 1-24.

Marafon, D. L., Basso, K., Espartel, L. B., de Barcellos, M. D., & Rech, E. (2018). Perceived risk and intention to use internet banking: The effects of self-confidence and risk acceptance. International Journal of Bank Marketing. https://doi.org/10.1108/IJBM-11-2016-0166

Medyakova, E. M., Kislitskaya, N. A., Kudinova, S. G., & Gerba, V. A. (2020). COVID-19 as a trigger for global transport infrastructure digitalisation. IOP Conference Series: Materials Science and Engineering, 918, 012227. https://doi.org/10.1088/1757-899X/918/1/012227

Munoz-Leiva, F., Climent-Climent, S., & Liébana-Cabanillas, F. (2017). Determinants of intention to use the mobile banking apps: An extension of the classic TAM model. Spanish Journal of Marketing-ESIC, 21, 25-38.

Nguyen, T. D., & Huynh, P. A. (2018). The roles of perceived risk and trust on e-payment adoption. Studies in Computational Intelligence, chapter 68. Springer

Pavlou, P. (2015). Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model. International Journal of Electronic Commerce, 7(3), 101-134

Prabawa, A. B., Marthanagara, C., Biagi, M. C., Gui, A., Suryanto & Karmawan, I. G. M. (2022). Analysis of factors affecting consumer online purchase intention in Indonesia. 2021 International Seminar on Machine Learning, Optimization, and Data Science (ISMODE), Jakarta, Indonesia, pp. 283-288. https://doi.org/10.1109/ISMODE53584.2022.9742847.

Rahman, F., & Soesilo, P. K. M. (2018). The effects of information exposure of contract manufacturing practice on consumers’ perceived risk, perceived quality, and intention to purchase private label brand. Journal of Retailing and Consumer Services, 42, 37-46.

Raza, S. A., Ahmed, R., Ali, M., & Qureshi, M. A. (2017). Influential factors of Islamic insurance adoption: An extension of Theory of Planned Behavior. Journal of Islamic Marketing.

Raza, S. A., Umer, A., & Shah, N. (2017). New determinants of ease of use and perceived usefulness for mobile banking adoption. International Journal of Electronic Customer Relationship Management, 11(1), 44-65.

Salloum, S. A., Alhamad, A. Q. M., Al-Emran, M., Monem, A. A., & Shaalan, K. (2019). Exploring students’ acceptance of e-learning through the development of a comprehensive Technology Acceptance Model. IEEE Access, 7. https://doi.org/10.1109/ACCESS.2019.2939467

Setiawan, M., & Setyawati, C. Y. (2020). The influence of perceived ease of use on the intention to use mobile payment: Attitude toward using a mediator. Journal of Accounting and Strategic Finance, 3(1), 18-32.

Silva, A. G., Canavari, M., & Sidali, K. L. (2017), A technology acceptance model of common bean growers’ intention to adopt integrated production in the Brazilian Central Region. Journal of Land Management, Food and Environment, 68(3), 131–143. https://doi.org/10.1515/boku-2017-0012 ISSN: 0006-5471.

Sundjaja, A. M., Arisanto, G. V., & Fatimah, S. (2020). The determinant factors of e-commerce usage behavior during flash sale program. Communication and Information Technology Journal, 14(2), 65-72.

Tong, T., & Xiong, Y. (2022). Modeling Intention-based Critical Determinants of E-Commerce utilisation: Emerging business models and transformation in the digital world. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.889147

Tzavlopoulus, I., Gotsamani, K., Andronikidis, A., & Vassaliadis, C. (2019). Determining the impact of e-commerce quality on customers’ perceived risk, satisfaction, value and loyalty. International Journal of Quality and Service Sciences, 11(4), 576-587.

Ustun, G. (2021). Determining depression and related factors in a society affected by COVID-19 pandemic. International Journal of Social Psychiatry, 67(1), 54-63. https://doi.org/10.1177/0020764020938807

Wagner, D., Chaipoopirutana, S., & Combs, H. (2019). A study of factors influencing the online purchasing intention toward online shopping in Thailand. AtMA 2019 Proceedings, 277-292.

Wang, P., & Han, W. (2021). Construction of a new financial E-commerce model for small and medium-sized enterprise financing based on multiple linear logistic regression. Journal of Organizational and End User Computing (JOEUC), 33(6), 1-18.

Wang, J., Shahzad, F., Ahmad, Z., Abdullah, M., & Hassan, N. M. (2022). Trust and consumers’ purchase intention in a social commerce platform: A meta-analytic approach. SAGE Open, 12(2). https://doi.org/10.1177/21582440221091262

Zaremohzzabieh, Z., Abu Samah, B., Muhammad, M., Omar, S. Z., Bolong, J., Hassan, S. B. H., & Shaffril, H. A. M. (2016). Information and communications technology acceptance by youth entrepreneurs in rural Malaysian communities: The mediating effects of attitude and entrepreneurial intention. Information Technology for Development, 22(4), 606–629. http://dx.doi.org/10.1080/02681102.2015.1128384.

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Published

31-07-2023

How to Cite

Grimaldo, J. R., Uy, C., & Manalo, R. A. (2023). Structural equation model on determinants of intention to use e-commerce. Journal of Computational Innovation and Analytics (JCIA), 2(2), 145-174. https://doi.org/10.32890/jcia2023.2.2.2

Research impact

Harvested 2026-09-19
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Identifiers DOI 10.32890/jcia2023.2.2.2 OpenAlex W4386200945

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