Shopping Products Online After the COVID-19 Era

Authors

  • Yasintha Soelasih Atma Jaya Catholic University of Indonesia
  • Sumani Atma Jaya Catholic University of Indonesia

DOI:

https://doi.org/10.21512/bbr.v15i2.10736

Keywords:

online shopping products, attitudes, perceived behavior control, product risk, financial risk, purchase decision, customer satisfaction, repurchase intention

Abstract

The COVID-19 pandemic has changed consumer purchase behavior. The research observed consumer behavior in purchasing online products after the pandemic. It focused on attitudes, perceived behavior control, and financial and product risks. They influenced purchase decisions, resulting in customer satisfaction and repurchase intention in online shopping. The research applied a quantitative method. Data collection used online research. It managed to get 443 respondents. The study was conducted in Indonesia with respondents who had done online shopping. The hypothesis test was done using Structural Equation Modeling (SEM) with Smart-PLS software. The research results show that H1, H1a, H1b, H2, H2a, H2b, H3, H3a, H3b, H5, H6, H6a, H6b, and H7 are accepted. Meanwhile, H4, H4a, and H4b are rejected. The hypothesis test results show an influence between attitudes, perceived behavior control, and financial risk on customer satisfaction and repurchase intention through purchase decisions both directly and indirectly. Meanwhile, product risk does not directly or indirectly influence customer satisfaction and repurchase intention through purchase decisions. In conclusion, financial risk is the most influential factor in purchase decisions. If the financial risk is low, customers’ purchase decisions will be high. The research contributes to consumer behavior, especially regarding online shopping. Consumers purchasing online products pay attention to the processes of clarity, assurance, security, comfort, and trust.

Dimensions

Plum Analytics

Author Biographies

Yasintha Soelasih, Atma Jaya Catholic University of Indonesia

Faculty of Economics and Business

Sumani, Atma Jaya Catholic University of Indonesia

Faculty of Economics and Business

References

Ashfaq, M., Yun, J., Waheed, A., Khan, M. S., & Farrukh, M. (2019). customers’ expectation, satisfaction, and repurchase intention of used products online: Empirical evidence from China. Sage Open, 9(2), 1–14. https://doi.org/10.1177/2158244019846212

Bashir, S., Anwar, S., Awan, Z., Qureshi, T. W., & Memon, A. B. (2018). A holistic understanding of the prospects of financial loss to enhance shopper's trust to search, recommend, speak positive and frequently visit an online shop. Journal of Retailing and Consumer Services, 42, 169–174. https://doi.org/10.1016/j.jretconser.2018.02.004

Bashir, S., Khwaja, M. G., Mahmood, A., Turi, J. A., & Latif, K. F. (2021). Refining e-shoppers’ perceived risks : Development and validation of new measurement scale. Journal of Retailing and Consumer Services, 58. https://doi.org/10.1016/j.jretconser.2020.102285

Chen, Y., & Feng, D. (2023). Understanding online shopping behaviors and purchase intentions amongst undergraduate students in Chengdu, China. Scholar: Juman Sciences, 15(1), 182–190. https://doi.org/10.14456/shserj.2023.19

Dvorak, J., Komarkova, L., & Stehlik, L. (2021). The effect of the COVID-19 crisis on the perception of digitisation in the purchasing process: Customers and retailers perspective. Journal of Entrepreneurship in Emerging Economies, 13(4), 628–647. https://doi.org/10.1108/JEEE-07-2020-0260

Goswami, R., & Jena, R. K. (2023). The influences of online shopping value on consumer purchase intention: An insight during COVID-19 pandemic lockdown. SCMS Journal of Indian Management, 20(2), 77–93.

Guo, Y., Bao, Y., Stuart, B. J., & Le-Nguyen, K. (2018). To sell or not to sell: Exploring sellers’ trust and risk of chargeback fraud in cross-border electronic commerce. Information Systems Journal, 28(2), 359–383. https://doi.org/10.1111/isj.12144

Ha, N. T., Nguyen, T. L. H., Pham, T. V., & Nguyen, T. H. T. (2021). Factors influencing online shopping intention: An empirical study in Vietnam. The Journal of Asian Finance, Economics and Business, 8(3), 1257–1266. https://doi.org/10.13106/jafeb.2021.vol8.no3.1257

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203

Hair Jr, J. F., Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017). PLS-SEM or CB-SEM: Updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107–123. https://doi.org/10.1504/ijmda.2017.087624

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for asseeing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43, 115–135. https://doi.org/10.1007/s11747-014-0403-8

Huifeng, P., Ha, H. Y., & Lee, J. W. (2020). Perceived risks and restaurant visit intentions in China: Do online customer reviews matter? Journal of Hospitality and Tourism Management, 43, 179–189. https://doi.org/10.1016/j.jhtm.2020.04.005

Johnson, O., & Ramirez, S. A. (2021). The influence of showrooming on millennial generational cohorts online shopping behaviour. International Journal of Retail & Distribution Management, 49(1), 81–103. https://doi.org/10.1108/IJRDM-03-2020-0085

Jonathan, R., & Soelasih, Y. (2022). Pembentuk intention to use dompet digital melalui consumer attitude. Jurnal Manajemen, 19(1), 39–52. https://doi.org/10.25170/jm.v19i1.2300

Kamalul Ariffin, S., Mohan, T., & Goh, Y. N. (2018). Influence of consumers’ perceived risk on consumers’ online purchase intention. Journal of Research in Interactive Marketing, 12(3), 309–327. https://doi.org/10.1108/JRIM-11-2017-0100

Kim, Y., Wang, Q., & Roh, T. (2021). Do information and service quality affect perceived privacy protection, satisfaction, and loyalty? Evidence from a Chinese O2O-based mobile shopping application. Telematics and Informatics, 56. https://doi.org/10.1016/j.tele.2020.101483

Koch, J., Frommeyer, B., & Schewe, G. (2020). Online shopping motives during the COVID-19 pandemic — Lessons from the crisis. Sustainability, 12(24), 1–20. https://doi.org/10.3390/su122410247

Lăzăroiu, G., Neguriţă, O., Grecu, I., Grecu, G., & Mitran, P. C. (2020). Consumers’ decision-making process on social commerce platforms: Online trust, perceived risk, and purchase intentions. Frontiers in Psychology, 11, 1–7. https://doi.org/10.3389/fpsyg.2020.00890

Lim, K. B., Yeo, S. F., & Wong, J. C. (2020). Factors affecting purchasing intention by using mobile shopping applications in Malaysia. International Journal of Business and Society, 21(3), 1058–1067. https://doi.org/10.33736/ijbs.3311.2020

Makhitha, K. M., & Ngobeni, K. (2021). The influence of demographic factors on perceived risks affecting attitude towards online shopping. South African Journal of Information Management, 23(1), 1–9. https://doi.org/10.4102/sajim.v23i1.1283

Melović, B., Šehović, D., Karadžić, V., Dabić, M., & Ćirović, D. (2021). Determinants of millennials' behavior in online shopping – Implications on consumers’ satisfaction and e-business development. Technology in Society, 65. https://doi.org/10.1016/j.techsoc.2021.101561

Moon, J., Choe, Y., & Song, H. (2021). Determinants of consumers’ online/offline shopping behaviours during the COVID-19 pandemic. International Journal of Environmental Research and Public Health, 18(4), 1–15. https://doi.org/10.3390/ijerph18041593

Neko, R. A., & Soelasih, Y. (2021). Antecedents: Ease of use, diskon, risk dan wide acceptability terhadap kepuasan konsumen dalam penggunaan dompet digital. Prosiding Working Papers Series in Management, 13(2), 283–291. https://doi.org/10.25170/wpm.v13i2.3059

Nemoto, T., & Beglar, D. (2014). Developing Likert-scale questionnaires. In JALT 2013 Conference Proceedings (pp. 1–8).

Nguyen, L., Le, H. C., & Nguyen, T. T. (2021). Critical factors influencing consumer online purchase intention for cosmetics and personal care products in Vietnam. The Journal of Asian Finance, Economics and Business, 8(9), 131–141. https://doi.org/10.13106/jafeb.2021.vol8.no9.0131

Prasad, S., Garg, A., & Prasad, S. (2019). Purchase decision of generation Y in an online environment. Marketing Intelligence & Planning, 37(4), 372–385. https://doi.org/10.1108/MIP-02-2018-0070

Rey-Ares, L., Fernández-López, S., Castro-González, S., & Rodeiro-Pazos, D. (2021). Does self-control constitute a driver of millennials’ financial behaviors and attitudes? Journal of Behavioral and Experimental Economics, 93. https://doi.org/10.1016/j.socec.2021.101702

Singh, N., Sinha, N., & Liébana-Cabanillas, F. J. (2020). Determining factors in the adoption and recommendation of mobile wallet services in India: Analysis of the effect of innovativeness, stress to use and social influence. International Journal of Information Management, 50, 191–205. https://doi.org/10.1016/j.ijinfomgt.2019.05.022

Suki, N. M., & Suki, N. M. (2017). Modeling the determinants of consumers' attitudes toward online group buying: Do risks and trusts matters? Journal of Retailing and Consumer Services, 36, 180–188. https://doi.org/10.1016/j.jretconser.2017.02.002

Syifa Johan, I., Indriyani, R., & Vincēviča-Gaile, Z. (2020). Measuring repurchase intention on fashion online shopping. In The 1st International Conference on Social Sciences and Humanities (ICSH 2019), 76, 1–10. https://doi.org/10.1051/shsconf/20207601015

Tabari, N. A. Y., & Abroud, E. (2017). Factors Affecting customer's tendency to online shopping. Journal of Economic & Management Perspectives, 11(3), 549–556.

Tenenhaus, M., Amato, S., & Esposito Vinzi, V. (2004). A global goodness-of-fit index for PLS structural equation modelling. In Proceedings of the XLII SIS Scientific Meeting (Vol. 1, No. 2, pp. 739–742).

Tham, K. W., Dastane, O., Johari, Z., & Ismail, N. B. (2019). Perceived risk factors affecting consumers' online shopping behaviour. The Journal of Asian Finance, Economics and Business, 6(4), 249–260. https://doi.org/10.13106/jafeb.2019.vol6.no4.249

Tran, V. D. (2020). The relationship among product risk, perceived satisfaction and purchase intentions for online shopping. The Journal of Asian Finance, Economics and Business, 7(6), 221–231. https://doi.org/10.13106/JAFEB.2020.VOL7.NO6.221

Wang, Y., Anderson, J., Joo, S. J., & Huscroft, J. R. (2020). The leniency of return policy and consumers’ repurchase intention in online retailing. Industrial Management & Data Systems, 120(1), 21–39. https://doi.org/10.1108/IMDS-01-2019-0016

Wu, I. L., Chiu, M. L., & Chen, K. W. (2020). Defining the determinants of online impulse buying through a shopping process of integrating perceived risk, expectation-confirmation model, and flow theory issues. International Journal of Information Management, 52. https://doi.org/10.1016/j.ijinfomgt.2020.102099

Yaprak, Ü., Kılıç, F., & Okumuş, A. (2021). Is the COVID-19 pandemic strong enough to change the online order delivery methods? Changes in the relationship between attitude and behavior towards order delivery by drone. Technological Forecasting and Social Change, 169, 1–16. https://doi.org/10.1016/j.techfore.2021.120829

Yeo, S. F., Tan, C. L., Lim, K. B., & Khoo, Y. H. (2020). Product packaging: Impact on customers’ purchase intention. International Journal of Business and Society, 21(2), 857–864. https://doi.org/10.33736/ijbs.3298.2020

Zhao, M., Zhang, C., Hu, Y., Xu, Z., & Liu, H. (2021). Modelling consumer satisfaction based on online reviews using the improved Kano model from the perspective of risk attitude and aspiration. Technological and Economic Development of Economy, 27(3), 550–582. https://doi.org/10.3846/tede.2021.14223

Zhao, Z., Du, X., Liang, F., & Zhu, X. (2019). Effect of product type and time pressure on consumers’ online impulse buying intention. Journal of Contemporary Marketing Science, 2(2), 137–154. https://doi.org/10.1108/JCMARS-01-2019-0012

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Published

2024-06-25
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