ReRec: A Divide-and-Conquer Approach to Recommendation Based on Repeat Purchase Behaviors of Users in Community E-Commerce

Existing studies have made a great endeavor in predicting users’ potential interests in items by modeling user preferences and item characteristics. As an important indicator of users’ satisfaction and loyalty, repeat purchase behavior is a promising perspective to extract insightful information for community e-commerce. However, the repeated purchase behaviors of users have not yet been thoroughly studied. To fill in this research gap from the perspective of repeated purchase behavior and improve the process of generation of candidate recommended items this research proposed a novel approach called ReRec (Repeat purchase Recommender) for real-life applications. Specifically, the proposed ReRec approach comprises two components: the first is to model the repeat purchase behaviors of different types of users and the second is to recommend items to users based on their repeat purchase behaviors of different types. The extensive experiments are conducted on a real dataset collected from a community e-commerce platform, and the performance of our model has improved at least about 13.6% compared with the state-of-the-art techniques in recommending online items (measured by F-measure). Specifically, for active users, with w = 1 and N(UA)∈[5,25], the results of ReRec show a significant improvement (at least 50%) in recommendation. With α and σ as 0.75 and 0.2284, respectively, the proposed ReRec for unactive users is also superior to (at least 13.6%) the evaluation indicators of traditional Item CF when N(UB)∈[6, 25]. To the best of our knowledge, this paper is the first to study recommendations in community e-commerce.

Effects of employee engagement on customer responses: Examining the mediating role of customer engagement

Drawing on emotional contagion theory, this study offers an integrated framework showing the effects of employee engagement (EE) on customer engagement (CE), repeat purchase and word-of-mouth (WOM). The data were collected from 65 employees and 352 customers of 28 retail stores using 2 separate survey instruments. A dyadic data set was created by matching customer data with the employee data corresponding to each store. The findings reveal that two key facets of EE – dedication and absorption – positively influence CE, which eventually influences WOM and repeat purchase. In line with balance theory, CE is found to fully mediate the effects of absorption on WOM and repeat purchase. Furthermore, employee length of service (ELS) is found to moderate the absorption on CE effects. Thus, the findings extend emotional contagion theory and balance theory by providing empirical evidence supporting the differential effects of the facets of EE on CE en route to WOM and repeat purchase. JEL Classification: M31

Investment Decisions of the Blockchain-Based Anti-Counterfeiting Traceability Service in A High-Quality Fresh Supply Chain

Applications of the blockchain-based anti-counterfeiting traceability system (hereafter, blockchain-based ACTS) present a positive result in helping improve the repeat purchase rate and the product circulation rate. However, using the blockchain-based ACTS needs chain members’ additional expenditure. They want to know investment conditions about the blockchain-based ACTS and how to coordinate the supply chain. To solve these problems, we chosen a supply chain with one fresh producer and one retailer as the study object. Afterwards, considering the changes of the repeat purchase rate and the product circulation rate, we revised the demand function. Then, we constructed the profit functions before and after adopting the blockchain-based ACTS, and then a price discount and revenue-sharing contract was put forward to coordinate the supply chain. Findings: with the growth of the repurchase rate, benefits of chain members in the proposed three situations will increase. Thus, we can know that after using the blockchain-based ACTS.

Influence of selected factors on the repeat purchase of the a package tour – case study from tourism of the Moravian-Silesian Region

The aim of this paper is to identify influence of selected factors on the repeat purchase of a package tour based on the responses of the selected customers in the Moravian-Silesian Region. The main factors are divided into three main groups as staff, environment and offer and each of these groups consists of other selected factors. Analyses of frequency responses and frequency distribution of data were used. Statistical hypotheses were formed, reflecting the relationship between the difference in responses from the customers’ and selected quality factors, that may affect the repeated purchase of the package tour. Most customers of repeat purchase of the package tour are affected by professional behaviour, sufficient space, cleanliness, tidiness of company premises and corresponding ratio of price / quality. This study is important not only for the marketers’ but also for all employees in services. Knowledge of the consumer buying behaviour leads to huge long term benefits to the businesses in various regions not only in Europe.

Pengaruh Bauran Ritel Terhadap Keputusan Belanja Ulang Di Niagara Swalayan Bukittinggi

The purpose of this research is to analyze the effect of retail mix on the repeat purchase decision in Niagara Supermarkets Bukittinggi. The population in this research are all consumers who shopped in Niagara Supermarkets and domiciled in Bukittinggi city and its surroundings. To determine the size of the sample by using Cochran formula. The number of samples in the research are 127 peoples. The sampling technique use purposive sampling technique. The analytical tool use the path analysis trimming model. Retail Mix simultaneously influence the repeat purchase decisions in Niagara Supermarkets Bukittinggi. Customer service influence the repeat purchase decisions in Niagara Supermarkets Bukittinggi. Store design and display does not influence the repeat purchase decisions in Niagara Supermarkets Bukittinggi. Communications mix influence the repeat purchase decisions in Niagara Supermarkets Bukittinggi. The location does not influence the repeat purchase decisions in Niagara Supermarkets Bukittinggi. Merchandise assortment does not influence repeat purchase decisions in Niagara Supermarkets Bukittinggi. Pricing influence the repeat purchase decisions in Niagara Supermarkets Bukittinggi.

Understanding E-Commerce Consumers’ Repeat Purchase Intention: The Role of Trust Transfer and the Moderating Effect of Neuroticism

The dominant position of e-commerce is especially being articulated in the retailing industry once again due to several constraints that the world faces in the COVID-19 pandemic era. In this regard, this study explores the significant role of trust transfer (from offline to online) and the moderating effect of consumers’ neurotic traits in the framework of trust-satisfaction-repurchase intention in the e-commerce context based on a survey with 406 Korean e-commerce consumers. Moreover, a prediction-oriented segmentation (POS) technique combined with structural equation models (SEM) was utilized to reveal consumers’ probable hidden heterogeneous characteristics. The outcomes of the global model SEM analysis indicate that offline-online trust transference occurs in e-commerce, and the conveyed trust significantly influences satisfaction and consumers’ repeat purchase intention through satisfaction. Neuroticism also has significant positive effects on trust transfer in the global model. However, results in three subgroups generated by POS show heterogeneous characteristics that considerably differed from the global model test results. The implications from this study will be beneficial to field practitioners in the e-commerce industry in addressing the importance of trust transfer, negative neurotic traits as well as heterogeneous aspects of consumers.