Open Access. Powered by Scholars. Published by Universities.®
- Keyword
- Publication
- Publication Type
Articles 1 - 2 of 2
Full-Text Articles in Sales and Merchandising
Tree-Based Algorithm For Stable And Efficient Data Clustering, Hasan Aljabbouli, Abdullah Albizri, Antoine Harfouche
Tree-Based Algorithm For Stable And Efficient Data Clustering, Hasan Aljabbouli, Abdullah Albizri, Antoine Harfouche
Department of Information Management and Business Analytics Faculty Scholarship and Creative Works
The K-means algorithm is a well-known and widely used clustering algorithm due to its simplicity and convergence properties. However, one of the drawbacks of the algorithm is its instability. This paper presents improvements to the K-means algorithm using a K-dimensional tree (Kd-tree) data structure. The proposed Kd-tree is utilized as a data structure to enhance the choice of initial centers of the clusters and to reduce the number of the nearest neighbor searches required by the algorithm. The developed framework also includes an efficient center insertion technique leading to an incremental operation that overcomes the instability problem of the K-means …
Customer Service Challenges In Omni-Channel Retailing—An Exploratory Study Of Vague Language In Retailer Customer Service Policies, Terence L. Holmes, Edward C. Brewer
Customer Service Challenges In Omni-Channel Retailing—An Exploratory Study Of Vague Language In Retailer Customer Service Policies, Terence L. Holmes, Edward C. Brewer
Atlantic Marketing Journal
Retailers are interacting with customers via an ever-increasing number of touchpoints. The addition of social media and mobile devices to the traditional physical and virtual retail platforms has created an evolving consumer practice of using several such "touchpoints" in the course of a single purchase (the "omni-channel”). The difficulty of providing high levels of customer service has increased with the necessity of managing multiple channels under the retailer’s control and coordinating formally or informally with touchpoints not directly within the retailer’s own operations. Multiple sources of potentially conflicting information (e.g., order fulfillment) can lead to miscommunication, and thus poor service …