Research by: Qi Sun, Ming Dong, & Albert Tan
In the e-commerce market, the cost of customer acquisition continues to rise. One of the main profits for e-commerce companies comes from repurchase; therefore, increasing customer’s repurchase motivation can effectively increase profits. One of purposes of customer relationship management (CRM) is to protect and increase consumer loyalty through proper order allocation for e-commerce platforms. This paper presents a new repurchase motivation-driven, bi-level scheme of order allocation methodology with the aid of blockchain technology. Blockchain technology is used to integrate multiple platforms into a single platform to make allocation decisions for different consumer groups. Order allocation rules with low, medium, and high repurchase motivation drivers are constructed for different consumer groups classified by blockchain to improve consumer loyalty. This study found that the consumer group of low repurchase motivation drivers (LRMD) can be reformulated as an order allocation problem with linear time complexity. In the case of high repurchase motivation drivers (HRMD) and medium repurchase motivation drivers (MRMD), an improved simulated annealing (SA) algorithm with linear time complexity is used to solveNP-hard allocation problems. Thus, cost minimization schemes of order allocation are formed by using flexible allocation rules for e-commerce platforms with blockchain technology.
To cite this article: Sun, Q., Dong, M., & Tan, A. (2022). An order allocation methodology based on customer repurchase motivation drivers using blockchain technology. Electronic Commerce Research and Applications, 56, 101218. https://doi.org/10.1016/j.elerap.2022.101218
To access this article: https://doi.org/10.1016/j.elerap.2022.101218
About the Journal
Electronic Commerce Research and Applications aims to create and disseminate enduring knowledge for the fast-changing e-commerce environment. A major dilemma in e-commerce research is how to achieve a balance between the currency and the life span of knowledge.
Electronic Commerce Research and Applications will contribute to the establishment of a research community to create the knowledge, technology, theory, and applications for the development of electronic commerce. This is targeted at the intersection of technological potential and business aims.
|Chartered Association of Business Schools Academic Journal Guide 2021||ABS2|
|Scimago Journal & Country Rank||SJR h-index: 82|
|SJR 2021: 1.37|
|Scopus||CiteScore 2021: 10.0|
|Australian Business Deans Council Journal List||Rating C|
|Journal Citation Reports (Clarivate)||JCI 2021: 1.24
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