Decoding Consumer Behaviour in Indonesian E Commerce: A Stimulus-Organism-Response Analysis
Main Article Content
Keywords
E-commerce, Hindering Factors, Stimulus-Organism-Response, Perceived Risk, Cognitive Trust
Abstract
Indonesia holds a significant position in Southeast Asian e-commerce, witnessing notable shifts in consumer shopping patterns owing to the rapid expansion of online markets. This study concentrates on understanding e-commerce dynamics within Indonesian suburban areas. This research aims to unravel the hindering factors in Indonesian e-commerce, employing the Stimulus-Organism-Response framework to decode the intricate relationships between stimuli, organisms, and responses. This study endeavours to comprehend the intricate perceptions and behavioural tendencies exhibited by a cohort of 280 individuals by implementing a targeted quantitative questionnaire. The investigation seeks to scrutinize the impact of security, privacy, perceived risk, and cognitive trust on the attitudes and behavioural intentions of suburban consumers engaging in e-commerce activities. Employing SmartPLS as the analytical framework and utilizing Partial Least Squares Structural Equation Modelling (PLS-SEM), the research aims to investigate the causal relationships among key factors in the Indonesian suburban e-commerce industry. With a focus on the suburban population, this empirical study will offer comprehensive insights into the intricate dynamics of e-commerce. The findings are expected to contribute meaningful insights to the growing domain of e-commerce research and offer practical recommendations to foster the development of a resilient and thriving e-commerce ecosystem in Indonesia.
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Akour, I., Alnazzawi, N., Alshurideh, M., Almaiah, M. A., Al Kurdi, B., Alfaisal, R. M., & Salloum, S. (2022). A conceptual model for investigating the effect of privacy concerns on E-commerce adoption: a study on United Arab Emirates consumers. Electronics, 11(22), 3648. https://doi.org/10.3390/electronics11223648
Al-Hujran, O., Al-Debei, M. M., Chatfield, A., & Migdadi, M. (2015). The imperative of influencing citizen attitude toward e-government adoption and use. Computers in Human Behavior, 53, 189–203. https://doi.org/10.1016/j.chb.2015.06.025
Alghizzawi, M. (2019). The role of digital marketing in consumer behavior: A survey. International Journal of Information Technology Language Studies, 3(1), 24–31. https://journals.sfu.ca/ijitls/index.php/ijitls/article/view/67
Alotebi, H., Alharbi, O., & Masmali, A. (2018). Effective leadership in virtual learning environments. International Journal of Information and Education Technology, 8(2), 156–160. https://doi.org/10.18178/ijiet.2018.8.2.1026
Ariansyah, K., Sirait, E. R. E., Nugroho, B. A., & Suryanegara, M. (2021). Drivers of and barriers to e-commerce adoption in Indonesia: Individuals’ perspectives and the implications. Telecommunications Policy, 45(8), 102219. https://doi.org/10.1016/j.telpol.2021.102219
Bojjagani, S., Sastry, V. N., Chen, C.-M., Kumari, S., & Khan, M. K. (2023). Systematic survey of mobile payments, protocols, and security infrastructure. Journal of Ambient Intelligence and Humanized Computing, 14(1), 609–654. https://doi.org/10.1007/s12652-021-03316-4
Carstens, M., Ungerer, M., & Human, G. (2019). Perceived risk, trust and familiarity of online multisided pure-play platforms selling physical offerings in an emerging market. Southern African Business Review, 23(1). 5594-5625. https://doi.org/10.25159/1998-8125/5594
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295–336. https://psycnet.apa.org/record/1998-07269-010
Chong, D., & Ali, H. (2022). Literature review: Competitive strategy, competitive advantages, and marketing performance on e-commerce Shopee Indonesia. Dinasti International Journal of Digital Business Management, 3(2), 299–309. https://doi.org/10.38035/jkmt.v1i1
Dahbi, S., & Benmoussa, C. (2019). What Hinder SMEs from Adopting E-commerce? A Multiple Case Analysis. Procedia Computer Science, 158, 811–818. https://doi.org/10.1016/j.procs.2019.09.118
ECDB. (2024). eCommerce market in Indonesia. https://Ecommercedb.Com/Markets/Id/All
Fikri, A., Nurmalina, R., Najib, M., & Simanjuntak, M. (2019). The Effect of reputation on online repurchase intention of fruits/vegetables in Indonesia with emotional and perceived risk as antecedent: based on the stimulus-organism-response model. Jurnal Manajemen & Agribisnis, 16(2), 111–122.https://doi.org/10.17358/jma.16.2.111
Fornell, C. and Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312
Forsythe, S. M., & Shi, B. (2003). Consumer patronage and risk perceptions in Internet shopping. Journal of Business Research, 56(11), 867–875. https://doi.org/10.1016/S0148-2963(01)00273-9
Goi, M. T., Kalidas, V., & Zeeshan, M. (2014). Comparison of stimulus-organism-response framework between international and local retailer. Procedia-Social and Behavioral Sciences, 130, 461–468. https://doi.org/10.1016/j.sbspro.2014.04.054
Hair, J. F., Jr, Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (3rd ed.). SAGE Publications.
Hendricks, S., & Mwapwele, S. D. (2024). A systematic literature review on the factors influencing e-commerce adoption in developing countries. Data and Information Management, 8(1), 100045. https://doi.org/10.1016/j.dim.2023.100045
Huang, T.-Y., Chen, W.-K., Chen, C.-W., & Silalahi, A. D. K. (2022). Understanding How Product Reviews on YouTube Affect Consumers’ Purchase Behaviors in Indonesia: An Exploration Using the Stimulus‐Organism‐Response Paradigm. Human Behavior and Emerging Technologies, 2022(1), 4976980. https://doi.org/10.1155/2022/4976980
International Trade Administration. (2023). eCommerce. https://www.trade.gov/country-commercial-guides/indonesia-ecommerce
Jiménez-Jiménez, D., & Sanz-Valle, R. (2011). Innovation, organizational learning, and performance. Journal of Business Research, 64(4), 408–417. https://doi.org/10.1016/j.jbusres.2010.09.010
Kim, H. (2019). Globalization and regulatory change: The interplay of laws and technologies in E-commerce in Southeast Asia. Computer Law & Security Review, 35(5), https://doi.org/105315.10.1016/j.clsr.2019.03.009
Kurniawan, A., Wibowo, L., Rahayu, A., Yulianti, C., Annisa, T., & Riswanto, A. (2021). Online brand community strategy in achieving e-loyalty in the Indonesian e-commerce industry. International Journal of Data and Network Science, 5(4), 785–790. https://doi.org/10.5267/j.ijdns.2021.7.002
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, 890. https://doi.org/10.3389/fpsyg.2020.00890
Li, L., & Wang, W. (2020). The Effects of Online Trust-Building Mechanisms on Trust in the Sharing Economy: The Perspective of Providers. Sustainability, 12(5), 1717. https://doi.org/10.3390/su12051717
Lubis, M., Safitra, M. F., Fakhrurroja, H., & Putri, D. P. (2024). Navigating Online Privacy: Insights from Cybersecurity Expert. Procedia Computer Science, 234, 1388–1395. https://doi.org/10.1016/j.procs.2024.03.137
Lynn, N. D., Sourav, A. I., & Setyohadi, D. B. (2020). Increasing user satisfaction of mobile commerce using usability. International Journal of Advanced Computer Science and Applications, 11(8), 300–308. https://doi.org/10.14569/IJACSA.2020.0110839
Ma’Mun, D. K., Aprillia, R., Riko, R., & Wijaya, L. (2023). Antecedents of the Online Shopping Behavior during the Covid-19 Pandemic. Proceedings of the 2023 6th International Conference on Computers in Management and Business, 86–92. https://doi.org/10.1145/3584816.3584844
Mehrabian, A., & Russell, J. A. (1974). The basic emotional impact of environments. Perceptual and Motor Skills, 38(1), 283–301. https://doi.org/10.2466/pms.1974.38.1.283
O’Brien, R. M. (2007). A caution regarding rules of thumb for variance inflation factors. Quality & Quantity, 41, 673–690. https://doi.org/10.1007/s11135-006-9018-6
Primadewi, S., & Fitriasari, W. (2022). Analisis Faktor Yang Mempengaruhi Pembelian Impulse Pada Live Streaming E-Commerce Berdasarkan SOR (Stimulus Organism Response) Framework. Jurnal Sosial Teknologi, 2(10), 846–856. https://doi.org/10.59188/jurnalsostech.v2i10.427
Priporas, C.-V., Stylos, N., & Fotiadis, A. K. (2017). Generation Z consumers’ expectations of interactions in smart retailing: A future agenda. Computers in Human Behavior, 77, 374–381. https://doi.org/10.1016/j.chb.2017.01.058
Rahayu, D. (2018). Indonesia national cybersecurity review: Before and after establishment national cyber and crypto agency (BSSN). 2018 6th International Conference on Cyber and IT Service Management (CITSM), 1–6. https://doi.org/10.1109/CITSM.2018.8674265
Riquelme, I. P., & Román, S. (2014). The Influence of Consumers’ Cognitive and Psychographic Traits on Perceived Deception: A Comparison Between Online and Offline Retailing Contexts. Journal of Business Ethics, 119(3), 405–422. https://doi.org/10.1007/s10551-013-1628-z
Sarstedt, M., Hair, J. F., Cheah, J. H., Becker, J. M., & Ringle, C. M. (2019). How to specify, estimate, and validate higher-order constructs in PLS-SEM. Australasian Marketing Journal, 27(3), 197–211. https://doi.org/10.1016/j.ausmj.2019.05.003
Sensuse, D. I., Sipahutar, R. J., Jamra, R. K., Suryono, R. R., & Kautsarina. (2020). Challenges and recommended solutions for change management in Indonesian e-commerce. 2020 International Conference on Information Technology Systems and Innovation, ICITSI 2020 - Proceedings, 250–255. https://doi.org/10.1109/ICITSI50517.2020.9264950
Tran, V. D., & Nguyen, T. D. (2022). The impact of security, individuality, reputation, and consumer attitudes on purchase intention of online shopping: The evidence in Vietnam. Cogent Psychology, 9(1). https://doi.org/10.1080/23311908.2022.2035530
Tsai, Y. C., & Yeh, J. C. (2010). Perceived risk of information security and privacy in online shopping: A study of environmentally sustainable products. African Journal of Business Management, 4(18), 4057. https://doi.org/10.5897/AJBM.9000457
Vieira, V. A. (2013). Stimuli–organism-response framework: A meta-analytic review in the store environment. Journal of Business Research, 66(9), 1420–1426. https://doi.org/10.1016/j.jbusres.2012.05.009