Full Text (PDF)
Review Article

Indian E-commerce Customer Cancellation and Return Behaviornomics: An Empirical Investigation

Swarnalatha S, Sree Devi K K

Author Information

Licence:

Attribution-Non-commercial 4.0 International (CC BY-NC 4.0)

This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.


Journal of Social Welfare and Management 14(3 (Part-I)):p 131-135, September-December 2022. | DOI: https://doi.org/10.21088/jswm.0975.0231.14322.13

How Cite This Article:

Sree Devi K K, Swarnalatha S/Indian E-commerce Customer Cancellation and Return Behaviornomics: An Empirical Investigation/J Soc Welfare Manag. 2022;14,3(Part-I):131–135.

Timeline

Received : July 13, 2022         Accepted : August 01, 2022          Published : December 25, 2022

Abstract

Ecommerce return policy plays an important role in dictating people satisfaction worldwide. Studies show solid return policy increases sales without increasing returns. The Ecommerce platforms in India are growing exponentially. Almost 65% of population seems to go online, while it might reach 80% by 2023. A vast majority of customers cancel before due deliver or return goods due to varied reasons which increases costs on reverse logistics and a growing concern. Data for research study was gathered from published academic publications, statistical databases, historical records, and articles found on the internet. Secondary data was gathered from a variety of resources for the study in order to increase the report's credibility. The main aim is to examine the factors influencing customer cancellation and returns policies in ecommerce platforms with reference to Chennai city. The study involved a group of 120 subjects, demographic and perceptual data for open ended questions was collected through a survey questionnaire of customer experience amongst four major ecommerce platforms. The hypothesis developed on variables are tested using reliability analysis, t-tests and ANOVA, by SPSS version 23.


References

  • 1.   Appu, A., & Balaji, S. G., Measuring Effectiveness of Distribution Channel Practices among Merchants: An Empirical Study on Logistics Companies in Chennai City. Sumedha Journal of Management, 7(4), 2018, 136-144.
  • 2.   Bont, S. D., Journal of Supply Chain Management, Logistics and Procurement, 1(3), 234-246: Building a closed loop supply chain for a customer-centric and circular economy, 2018.
  • 3.   Das, D., Kumar, R., &Rajak, M., Operations and Supply Chain Management: An International Journal, 13(1), 48-63, Designing a reverse logistics network for an e-commerce firm: a case study, 2020.
  • 4.   Huang, X., & Zhang, D., Marketing Science, 39(2), 366-381: Service product design and consumer refund policies, 2020.
  • 5.   Li, Y., Sun, Y., Zhang, Y., & Hu, X., Journal of Supply Chain and Operations Management, 16(1), 1-16, Online grocery retailing for fresh products with order cancellation and refund options, 2018.
  • 6.   Sharma, A., Sumedha Journal of Management, 9(3), 22-39: A Model for Measuring the Impact of Supply Chain Management Practices on Cost Effectiveness, 2020.
  • 7.   Son, J., Kang, J. H., & Jang, S., Journal of Retailing and Consumer Services, 51, 421- 427: The effects of out-of-stock, return, and cancellation amounts on the order amounts of an online retailer, 2019.
  • 8.   Tsai, T. Y., Lin, C. T., & Prasad, M., IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) (pp. 928- 935): An Intelligent Customer Churn Prediction and Response Framework, 2019.
  • 9.   Ye, J., International Conference on Computers in Management and Business (pp. 33-40): Analysis on E-commerce Order Cancellations Using Market Segmentation Approach, 2021.

Data Sharing Statement

There are no additional data available. All raw data and code are available upon request.

Funding

This research received no funding.

Author Contributions

All authors contributed significantly to the work and approve its publication.

Ethics Declaration

This article does not involve any human or animal subjects, and therefore does not require ethics approval.

Acknowledgements

We would like to express our gratitude to the patients, their families, and all those who have contributed to this study.

Conflicts of Interest

No conflicts of interest in this work.


About this article


Cite this article

Sree Devi K K, Swarnalatha S/Indian E-commerce Customer Cancellation and Return Behaviornomics: An Empirical Investigation/J Soc Welfare Manag. 2022;14,3(Part-I):131–135.


Licence:

Attribution-Non-commercial 4.0 International (CC BY-NC 4.0)

This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.


Received Accepted Published
July 13, 2022 August 01, 2022 December 25, 2022

DOI: https://doi.org/10.21088/jswm.0975.0231.14322.13

Keywords

E-commerceCustomer cancellationCustomer returnReverse logisticsCustomer return behaviour

Article Level Metrics

Last Updated

Saturday 29 August 2026, 10:51:08 (IST)


2134

Accesses

6
173
00

Citations


NA
NA
NA

Download citation


Article Keywords


Keyword Highlighting

Highlight selected keywords in the article text.


Timeline


Received July 13, 2022
Accepted August 01, 2022
Published December 25, 2022

licence


Attribution-Non-commercial 4.0 International (CC BY-NC 4.0)

This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.


Access this article



Share