AN EMPIRICAL ANALYSIS AND COMPREHENSIVE INVESTIGATION ON CUSTOMER QUALITY SATISFACTION ON ONLINE SHOPPING

Authors

  • M.S.Punithamalar and Dr.V.K.Sasikala Author

DOI:

https://doi.org/10.7492/f754er14

Keywords:

E-commerce, statistical analysis, online shopping, reliability, customer satisfaction

Abstract

Online Shopping implies the usage of virtual technology for the acquisition of products or services. The virtual technologies used are an addition to the conventional retailing strategies and are called e-tailing, virtual, net or online advertising and marketing. Online advertising and marketing are described as “the artwork and technology of promoting merchandise and/or offerings over virtual networks, together with net and mobile phone networks. It includes the artwork of the usage of proper blend of the techniques to draw the purchasers and the technology of comparing the achievement of the techniques. Online shopping is different from traditional brick and mortar shopping as one does not have to move out to buy things. With the help of internet and laptop or mobile phone one can do shopping. So nowadays people are moving from traditional brick and mortar to click and collect purchasing mode. However, this mode of purchasing is in the progressive phase in our country and hardly any study has been done to explore the factors related to service quality, customer satisfaction and customer loyalty in online purchasing. In the present research work qualitative and quantitative research together have been adopted to extract the different factors affecting online service quality, customer satisfaction and customer loyalty and to show the association. A total of 913 questionnaires were kept for the purpose of data analysis. A non-disguised structured questionnaire has been designed containing close ended questions and questions on 5-point Likert scale for the motive of collecting data. Reliability of the scales was checked with the help of Cronbach’s Alpha, Eigen values and Bartlett’s test of Sphericity. Validity of the collected data was checked using Content validity, External validity and Correlation between summated scales.

References

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.

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. JurnalInformasi dan Teknologi, 148-152.

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.

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.

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

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).

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Downloads

Published

1990-2024

Issue

Section

Articles

How to Cite

AN EMPIRICAL ANALYSIS AND COMPREHENSIVE INVESTIGATION ON CUSTOMER QUALITY SATISFACTION ON ONLINE SHOPPING. (2024). MSW Management Journal, 34(1), 183-197. https://doi.org/10.7492/f754er14

Similar Articles

51-60 of 65

You may also start an advanced similarity search for this article.