DOMINANT CLUSTERS OF ONLINE SHOPPING PURCHASE INTENTION: A DISCRIMINANT ANALYSIS APPROACH

Authors

  • Easwari. G. P Ph.D Part Time Research Scholar, Department of Corporate Secretaryship, Dharmamurthi Rao Bahadur Calavala Cunnan Chetty Hindu College, Chennai, India, Author
  • Dr. V. Raman Associate Professor and Head (Retd.,), Dharmamurthi Rao Bahadur Calavala Cunnan Chetty Hindu College, Chennai, India Author
  • P. M. Rameshkumar Guest Lecturer, Department of Corporate Secretaryship, D G Vaishnav College (Autonomous), Chennai, India, Author

DOI:

https://doi.org/10.61841/63m6rv34

Keywords:

Online Shopping, Comforts, Convenience, Purchase, Intention and Discriminant Analysis Approach

Abstract

The Present study was aimed to explore different types of cluster groups with respect online shopping purchase intention of women consumers in Chennai city. The present study adopted exploratory and descriptive research design and survey method to gather primary responses from women consumers. The result indicates that three dominant cluster groups has been significantly differentiated with two significant discriminant functions. The cluster groups such as, low intention group, moderate intention group and higher intention group was emerged out of five factors such as, accessibility, convenience, consideration, website design and shopping comforts of online shopping. Further, the researchers suggested to enhance the experience and satisfaction of the online shoppers to increase the growth of the e-commerce industry.

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References

1. Alharthey, B. (2020). The Role of Online Trust in Forming Online Shopping Intentions. International Journal of Online Marketing (IJOM), 10(1), 32-57.doi: 10.4018/IJOM.2020010103

2. Anderson, R. E., &Swaminathan, S. (2011). Customer Satisfaction and Loyalty in E-Markets: A PLS Path Modeling Approach. Journal of Marketing Theory and Practice, 19(2), 221–234. doi:10.2753/mtp1069-6679190207

3. AnuragPandey.,&JiteshParmar. (2019). Consumer’s Online Shopping Behavior with Reference to The Flipkart. Proceedings of 10th International Conference on Digital Strategies for Organizational Success. SSRN Electronic Journal. doi: 10.2139/ssrn.3323837

4. Armilawati, N. L. P. D., Kusuma, I. G. A. T., &Agung, A. P. (2020). The Effect of Online Shopping Experience on Risk Perception and Trust for Building Online Repurchase Intention. International Journal of Contemporary Research and Review, 11(05), 21787-21797.doi:10.15520/ijcrr.v11i05.805

5. Azami, Sadraddin. (2019). Factors Affecting Customers’ Purchasing Behavior in Online Shopping. SSRN Electronic Journal.doi: 10.2139/ssrn.3377148

6. Balaji, P., & Murthy, S.S. (2019). Web 2.0 : An Evaluation of Social Media Networking Sites. International Journal of Innovative Technology and Exploring Engineering, 8 (10), pp. 752-759. doi: 10.35940/ijitee.J8892.0881019

7. DibasGaudel. (2019). Consumers’ Attitude towards Online Shopping: Factors influencing Nepali Consumers to Shop Online. Gaudel, Dibas, Consumers’ Attitude towards Online Shopping: Factors influencing Nepali Consumers to Shop Online. SSRN Electronic Journal. doi: 10.2139/ssrn.3450062

8. Fabiha,Enam.,TanjilaRahman, &MehediHasanTanvir. (2020). Online Shopping Behavior of Bangladeshi People. European Journal of Business and Management, 12(6), 41-48. doi:10.7176/ejbm/12-6-05

9. Fenech, T., &O’Cass, A. (2001). Internet users’ adoption of Web retailing: user and product dimensions. Journal of Product & Brand Management, 10(6), 361–381. doi:10.1108/eum0000000006207

10. Gunasekaran, A., Marri, H. B., McGaughey, R. E., &Nebhwani, M. D. (2002). E-commerce and its impact on operations management. International Journal of Production Economics, 75(1-2), 185-197.doi: 10.1016/S0925-5273(01)00191-8

11. Hung, S.-W., Cheng, M.-J., & Chiu, P.-C. (2018). Do Antecedents of Trust and Satisfaction Promote Consumer Loyalty in Physical and Virtual Stores? A Multi-Channel View. Service Business, 13(1), 1–23. doi:10.1007/s11628-018-0364-y

12. Joines, J. L., Scherer, C. W., &Scheufele, D. A. (2003). Exploring motivations for consumer Web use and their implications for e-commerce. Journal of Consumer Marketing, 20(2), 90–108. doi:10.1108/07363760310464578

13. Liu, X., He, M., Gao, F. and Xie, P. (2008), An empirical study of online shopping customer satisfaction in China: a holistic perspective.International Journal of Retail & Distribution Management, 36(11), 919-940. doi: 10.1108/09590550810911683

14. Maryati, M., & Erika, M. (2019). Relationship Between Online Shopping Site Ads with Buying and Selling Interests on Online Shopping Sites. IOP Conference Series: Materials Science and Engineering, 662, 032044. doi:10.1088/1757-899x/662/3/032044

15. O’Cass, A., &Fenech, T. (2003). Web retailing adoption: exploring the nature of internet users Web retailing behaviour. Journal of Retailing and Consumer Services, 10(2), 81–94. doi:10.1016/s0969-6989(02)00004-8

16. Pregoner, J. D. M., Opalla, I. L., Uy, J. D., & Palacio, M. (2020). Customers’ Perception on the Trustworthiness of Electronic Commerce: A Qualitative Study. doi:10.35542/osf.io/msdpg

17. S. Sasikumar and P. Balaji. (2020). Smart Phone, Internet and Social Media Usage of College Students: A Cyber Psychology Study. International Journal of Advanced Science and Technology, 29(8s), 941 - 949. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/10861

18. Sakti, I. W., &Hurriyati, R. (2020). Analyzing Purchase Decision Process Online Shopping in Islamic Shari’a Perspective. International Journal of Psychosocial Rehabilitation, 24(02), 3396–3400. doi:10.37200/ijpr/v24i2/pr200654

19. Shantharam, B. B., Balaji, P., &Jagadeesan, P. (2019). ‘Impact of Customer Commitment In Social Media Marketing On Purchase Decision–An Empirical Examination’. Journal of Management (JOM), 6(2). 320-

326. doi: 10.34218/JOM.6.2.2019.036

20. Suresh, M., Balaji, P., &Rameshkumar, P, M. (2020). Dominant Groups and Differences in Smart Phone and Internet Usage: A Discriminant Analysis Approach. International Journal of Management, 11(4), 305-

315. doi: 10.34218/IJM.11.4.2020.031

21. Tan, X., Yen, D. C., & Fang, X. (2002). Internet integrated customer relationship management a key success factor for companies in the e-commerce arena. Journal of Computer Information Systems, 42(3), 77-86. Retrieved from https://www.tandfonline.com/doi/abs/10.1080/08874417.2002.11647506

22. Tsai, H.-T., Huang, H.-C., Jaw, Y.-L., & Chen, W.-K. (2006). Why on-line customers remain with a particular e-retailer: An integrative model and empirical evidence. Psychology and Marketing, 23(5), 447–

464. doi:10.1002/mar.20121

23. Usman, O., & Zillah, I. A. (2019). The Effect of Recommendation, Customer Satisfaction, Online Shopping Experience, Trust and Word-Of-Mouth Affecting Consumer Online Shopping Decision. SSRN Electronic Journal. doi:10.2139/ssrn.3511634

24. Vashisht, A., &Misra, V. (2019). Consumer behaviour and online shopping: the study of online shopping adoption (with reference to Lucknow city). International Journal of Public Sector Performance Management, 5(3/4), 321. doi:10.1504/ijpspm.2019.10022484

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Published

31.10.2020

Issue

Vol. 24 No. 8 (2020): 24 (8) 2020

Section

Articles

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How to Cite

Easwari. G. P, V. Raman, & P. M. Rameshkumar. (2020). DOMINANT CLUSTERS OF ONLINE SHOPPING PURCHASE INTENTION: A DISCRIMINANT ANALYSIS APPROACH. International Journal of Psychosocial Rehabilitation, 24(8), 13361-13369. https://doi.org/10.61841/63m6rv34