E-Commerce, Online Shopping, Consumer Behaviour, Consumer Satisfaction, Risk


Purpose: E-Commerce has unleashed yet another revolution, which is changing the way businesses buy and sell products and services. New methodologies have evolved. The role of geographic distances in forming business relationships is reduced. E-Commerce is the future of shopping. With the deployment of 3G ,4G& 5G wireless communication technologies, the internet economy will continue to grow robustly. Nowadays, online marketing is a new area of marketing which play a vital role in attracting customers.


Theoretical Framework: Most organizations utilize online shopping in current technology age to please consumers and also to attract additional clients. Online purchasing has a major influence on the pleasure of customers. Online shopping is the key aspect of electronic commerce, and this electronic trade guides many clients in the manner they purchase things from the business.Convenience is one of the benefits that customer gets from the e-commerce and thus increasing customer satisfaction. This is due to customer can place a purchase an order from anywhere with internet connection. E-commerce business provider should give importance on every customer by giving smooth service and many options for payment and have more functions available online.


Design/Methodology/Approach: The study investigated factors influencing customer satisfaction in e-commerce. Demographic variables were analyzed alongside perceived risks and influencing factors.


Findings: Findings highlight diverse influences on online purchasing behavior and varying satisfaction factors. However, no significant differences were found in risk perceptions. Education on online purchasing steps is recommended based on the results.


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Anas, M., Khan, M. N., & Uddin, S. F. (2023). Mapping the concept of online purchase experience: a review and bibliometric analysis. International Journal of Quality and Service Sciences, 15(2), 168-189.

Aljabari, M. A., Joudeh, J. M., Aljumah, A. I., Al-Gasawneh, J., & Daoud, M. K. (2023). The impact of website quality on online purchase intention: The mediating effect of e-WOM, Jordan context. International Journal of Professional Business Review, 8(6), e02143-e02143.

Awal, M. R., Hossain, M. S., Arzin, T. A., Sheikh, M. I., & Haque, M. E. (2023). Application of the SOBC model to study customers' online purchase intentions in an emerging economy during COVID-19: does gender matter?. PSU Research Review.

Benbakkar, H. A., Souidi, Z., Bardadi, A., & Bento-Gonçalves, A. (2024). Forest fires risk in a semi arid region: a case study in western Algeria. International Journal of Professional Business Review, 9(5), e04680-e04680.

de Oliveira, L. A. A., & Barros, S. V. A. (2024). Tijolos de solo-cimento com perlita como mcs e cinza de algaroba e cajueiro como fíller. International Journal of Professional Business Review, 9(5), e04629-e04629.

Enemuo, J. I., Onyejiaku, C. C., & Ben Etim, U. D. O. H. (2023). Service quality and customer satisfaction of online retail stores in Enugu, Nigeria.

Fitri, S., Wardana, Y. F. W., Mustafa, F., Sari, E. N., & Arief, I. (2023). Analysis of The Influence of Online Purchase Decisions, Digital Perceive Value of Quality and Digital Viral Marketing on Consumer Satisfaction of Skincare Products. Jurnal Informasi dan Teknologi, 148-152.

Jahir, M. S. F. B. M., & Hwa, E. T. B. (2023). Customer e-satisfaction towards online grocery sites in the metaverse world. In Strategies and Opportunities for Technology in the Metaverse World (pp. 294-320). IGI Global.

Jeevika Tharini, V., & Vijayarani, S. (2020). Bio-inspired High-Utility Item Framework based Particle Swarm Optimization Tree Algorithms for Mining High Utility Itemset. In Advances in Computational Intelligence and Informatics: Proceedings of ICACII 2019 (pp. 265-276). Springer Singapore.

Kumar, A., Chakraborty, S., & Bala, P. K. (2023). Text mining approach to explore determinants of grocery mobile app satisfaction using online customer reviews. Journal of Retailing and Consumer Services, 73, 103363.

Kajandren, R., Ariffin, N. A. B., Manimaran, P., Maniselvan, D., Ravindran, V., & Kanapathipillai, K. (2023). An analysis of the factors that impact the customers’satisfaction on online food delivery services in petaling Jaya, Selangor, Malaysia. European Journal of Social Sciences Studies, 8(4).

Limna, P., Kraiwanit, T., & Jangjarat, K. (2023). Adopting the technology acceptance model (TAM) to explore online purchase intention via Facebook live streaming: Empirical evidence from Bangkok, Thailand. ASEAN Journal of Management & Innovation, 10(1), 1-13.

Mainardes, E. W., Coutinho, A. R. S., & Alves, H. M. B. (2023). The influence of the ethics of E-retailers on online customer experience and customer satisfaction. Journal of Retailing and Consumer Services, 70, 103171.

Mtotywa, M. M., & Kekana, C. (2023). Post COVID-19 online shopping in South Africa: A mediation analysis of customer satisfaction on e-service quality and purchase intention. African Journal of Science, Technology, Innovation and Development, 15(5), 533-546.

Park, J. (2023). Combined Text-Mining/DEA method for measuring level of customer satisfaction from online reviews. Expert Systems with Applications, 232, 120767.

Rana, S., Bag, S., Ghosal, I., & Prasad, B. (2023). How do influencers moderate purchase motives? An application of SOR model to assess the effects of reviewers’ rating on online purchase. Journal of Promotion Management, 29(8), 1168-1197.

Saha, S. K., Duarte, P., Silva, S. C., & Zhuang, G. (2023). The role of online experience in the relationship between service convenience and future purchase intentions. Journal of Internet Commerce, 22(2), 244-271.

Susanto, H., Muamar, M., Prasetyo, D., Purnomo, E. C., & Riyadi, A. (2023). The influence of price and trust on consumer satisfaction in shopping online shop (Tokopedia) in Sampit. Jurnal Ekonomi, 12(01), 1052-1061.

Tharini, V. J., & Shivakumar, B. L. (2022). High-utility itemset mining: fundamentals, properties, techniques and research scope. In Computational intelligence and data sciences (pp. 195-210). CRC Press.

Tharini, V. J., & Shivakumar, B. L. (2023). An efficient pruned matrix aided utility tree for high utility itemset mining from transactional database. International Journal of Intelligent Systems and Applications in Engineering, 11(4s), 46-55.




How to Cite

Punithamalar, M. S., & Sasikala, V. K. (2024). AN INVESTIGATION ON FACTORS INFLUENCING CUSTOMER SATISFACTION BY UTILISING ONLINE SHOPPING. International Journal of Professional Business Review, 9(5), e04707.