Menu
×
West Ashley Library
9 a.m. - 7 p.m.
Phone: (843) 766-6635
Folly Beach Library
Closed
Phone: (843) 588-2001
Edgar Allan Poe/Sullivan's Island Library
Closed for renovations
Phone: (843) 883-3914
Wando Mount Pleasant Library
9 a.m. - 8 p.m.
Phone: (843) 805-6888
Village Library
9 a.m. - 1 p.m.
Phone: (843) 884-9741
St. Paul's/Hollywood Library
9 a.m. - 8 p.m.
Phone: (843) 889-3300
Otranto Road Library
9 a.m. - 8 p.m.
Phone: (843) 572-4094
Mt. Pleasant Library
9 a.m. - 8 p.m.
Phone: (843) 849-6161
McClellanville Library
9 a.m. - 6 p.m.
Phone: (843) 887-3699
Keith Summey North Charleston Library
9 a.m. - 8 p.m.
Phone: (843) 744-2489
John's Island Library
9 a.m. - 8 p.m.
Phone: (843) 559-1945
Hurd/St. Andrews Library
9 a.m. - 8 p.m.
Phone: (843) 766-2546
Miss Jane's Building (Edisto Library Temporary Location)
2 p.m. – 6 p.m.
Phone: (843) 869-2355
Dorchester Road Library
9 a.m. - 8 p.m.
Phone: (843) 552-6466
John L. Dart Library
9 a.m. - 7 p.m.
Phone: (843) 722-7550
Baxter-Patrick James Island
9 a.m. - 8 p.m.
Phone: (843) 795-6679
Main Library
9 a.m. - 8 p.m.
Phone: (843) 805-6930
Bees Ferry West Ashley Library
9 a.m. - 8 p.m.
Phone: (843) 805-6892
Mobile Library
9 a.m. - 5 p.m.
Phone: (843) 805-6909
Today's Hours
West Ashley Library
9 a.m. - 7 p.m.
Phone: (843) 766-6635
Folly Beach Library
Closed
Phone: (843) 588-2001
Edgar Allan Poe/Sullivan's Island Library
Closed for renovations
Phone: (843) 883-3914
Wando Mount Pleasant Library
9 a.m. - 8 p.m.
Phone: (843) 805-6888
Village Library
9 a.m. - 1 p.m.
Phone: (843) 884-9741
St. Paul's/Hollywood Library
9 a.m. - 8 p.m.
Phone: (843) 889-3300
Otranto Road Library
9 a.m. - 8 p.m.
Phone: (843) 572-4094
Mt. Pleasant Library
9 a.m. - 8 p.m.
Phone: (843) 849-6161
McClellanville Library
9 a.m. - 6 p.m.
Phone: (843) 887-3699
Keith Summey North Charleston Library
9 a.m. - 8 p.m.
Phone: (843) 744-2489
John's Island Library
9 a.m. - 8 p.m.
Phone: (843) 559-1945
Hurd/St. Andrews Library
9 a.m. - 8 p.m.
Phone: (843) 766-2546
Miss Jane's Building (Edisto Library Temporary Location)
2 p.m. – 6 p.m.
Phone: (843) 869-2355
Dorchester Road Library
9 a.m. - 8 p.m.
Phone: (843) 552-6466
John L. Dart Library
9 a.m. - 7 p.m.
Phone: (843) 722-7550
Baxter-Patrick James Island
9 a.m. - 8 p.m.
Phone: (843) 795-6679
Main Library
9 a.m. - 8 p.m.
Phone: (843) 805-6930
Bees Ferry West Ashley Library
9 a.m. - 8 p.m.
Phone: (843) 805-6892
Mobile Library
9 a.m. - 5 p.m.
Phone: (843) 805-6909
Patron Login
menu
Item request has been placed!
×
Item request cannot be made.
×
Processing Request
Digital transformation technologies to analyze product returns in the e-commerce industry.
Item request has been placed!
×
Item request cannot be made.
×
Processing Request
- Author(s): Jauhar, Sunil Kumar; Chakma, B. Ripon; Kamble, Sachin S.; Belhadi, Amine
- Source:
Journal of Enterprise Information Management; 2024, Vol. 37 Issue 2, p456-487, 32p- Subject Terms:
- Source:
- Additional Information
- Subject Terms:
- Abstract: Purpose: As e-commerce has expanded rapidly, online shopping platforms have become widespread in India and throughout the world. Product return, which has a negative effect on the E-Commerce Industry's economic and ecological sustainability, is one of the E-Commerce Industry's greatest challenges in light of the substantial increase in online transactions. The authors have analyzed the purchasing patterns of the customers to better comprehend their product purchase and return patterns. Design/methodology/approach: The authors utilized digital transformation techniques-based recency, frequency and monetary models to better understand and segment potential customers in order to address personalized strategies to increase sales, and the authors performed seller clustering using k-means and hierarchical clustering to determine why some sellers have the most sales and what products they offer that entice customers to purchase. Findings: The authors discovered, through the application of digital transformation models to customer segmentation, that over 61.15% of consumers are likely to purchase, loyal customers and utilize firm service, whereas approximately 35% of customers have either stopped purchasing or have relatively low spending. To retain these consumer segments, special consideration and an enticing offer are required. As the authors dug deeper into the seller clustering, we discovered that the maximum number of clusters is six, while certain clusters indicate that prompt delivery of the goods plays a crucial role in customer feedback and high sales volume. Originality/value: This is one of the rare study that develops a seller segmentation strategy by utilizing digital transformation-based methods in order to achieve seller group division. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of Journal of Enterprise Information Management is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Contact CCPL
Copyright 2022 Charleston County Public Library Powered By EBSCO Stacks 3.3.0 [350.3] | Staff Login
No Comments.