{"title":"Understanding the influence mechanism of advertising avoidance from an S-O-R perspective: An empirical study based on “Qiafan” videos of Bilibili","authors":"Bo Yang, Xinrui Zhang, Xusen Cheng, Tong Xue","doi":"10.1016/j.elerap.2024.101377","DOIUrl":"10.1016/j.elerap.2024.101377","url":null,"abstract":"<div><p>Bilibili, has given rise to a large number of advertising videos, which users tend to avoid. This study uses Bilibili’s video advertisements as the main research object and builds an advertising avoidance model based on a questionnaire survey guided by the S-O-R model framework. The study finds that perceived consistency plays an important role in advertising avoidance behavior, with perceived usefulness negatively influencing users’ perceived goal impediments and negative affective tendencies. Perceived entertainment negatively influences users’ perceived goal impediments and negative affective tendencies. Perceived goal impediment and negative affective tendencies positively influence users' tendencies to avoid advertising and play a mediating role in the influence of perceived usefulness, entertainment, and consistency on avoidance tendencies. Based on these findings, this study provides suggestions for promoting the effectiveness of advertising from the perspectives of user experience, information usefulness, entertainment value, and advertising consistency.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"64 ","pages":"Article 101377"},"PeriodicalIF":6.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140054834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impacts of blockchain technology on food supply chains with potential food contamination","authors":"Deqing Ma, Kaifu Li, Hanqing Qin, Jinsong Hu","doi":"10.1016/j.elerap.2024.101375","DOIUrl":"10.1016/j.elerap.2024.101375","url":null,"abstract":"<div><p>Food contamination may have a catastrophic effect on companies, causing a plunge in goodwill. Motivated by the practice that existing voluntary recall strategies still suffer from untimeliness and imprecision, we consider blockchain to provide technical support for food traceability and recall by improving supply chain traceability and transparency. We focus on a two-tier food supply chain facing potential contamination occurrences and build a piecewise deterministic differential game model. We then obtain the optimal strategies of firms and evaluate the impact of contamination events on the dynamic operations of the supply chain. The results show increased contamination likelihood and damage rate, which harm the goodwill of food and optimal decision-making. In addition, we obtain the conditions for the company to be profitable when implementing the blockchain, which is closely related to contamination source identification time, recall efficiency, damage rate, and blockchain cost. Finally, we evaluate several specific cases.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"64 ","pages":"Article 101375"},"PeriodicalIF":6.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139947785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Coopetition in social commerce: What influences livestreaming knowledge sharing in agricultural clusters?","authors":"Jing Li , Xiaotong Li","doi":"10.1016/j.elerap.2024.101383","DOIUrl":"https://doi.org/10.1016/j.elerap.2024.101383","url":null,"abstract":"<div><p>Given the increasing popularity of livestreaming and agricultural e-commerce, it is important to understand what influences knowledge sharing among competing local farmer-livestreamers. Using ordinal logistic regression and agent-based modeling, we examine several drivers of livestreaming knowledge sharing in an agricultural cluster. Our results show that peer effects and peer interaction can speed up knowledge sharing among local farmer-livestreamers. Furthermore, regional knowledge-sharing activities organized by local governments can meaningfully motivate farmer-livestreamers to share their livestreaming skills and knowledge. To promote knowledge sharing in agricultural clusters, local governments also can use communication platforms and education to change the idea of some farmer-livestreamers that knowledge sharing only benefits their local competitors. Highlighting several drivers for the evolution of livestreaming knowledge sharing, our study provides a theoretical basis for leveraging knowledge sharing to enhance the competitiveness of agricultural clusters in cyberspace.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"64 ","pages":"Article 101383"},"PeriodicalIF":6.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140163120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Strategic adoption of the recommender system under online retailer competition and consumer search","authors":"Chi Zhou , Yawen Xu , Yufei Ren , Jing Yu","doi":"10.1016/j.elerap.2024.101376","DOIUrl":"https://doi.org/10.1016/j.elerap.2024.101376","url":null,"abstract":"<div><p>In the context of the digital economy, online retailers are faced with increasing competition and seek to improve sales and attract consumers through innovations such as recommender systems. This paper investigates the strategies for adopting recommender systems by online retailers, introducing a theoretical model to assess whether both incumbent and new entrant retailers should adopt these systems. The model conducts a comparative analysis, factoring in consumers’ search costs and the strategic choices of competitors. It establishes equilibrium outcomes for four distinct scenarios, followed by an analysis of the interplay between the strategy selection decisions of the two types of retailers. The results show that if one retailer does not adopt the system, the other retailer should always adopt it. However, when one retailer has already implemented the system, the other retailer should only do so if the search cost is relatively low and the recommendation cost is high, but not when the search cost is moderate. Given two retailers’ strategies, we identify the requirements that form two equilibriums: both retailers adopting the system, or only the incumbent retailer adopting it. Furthermore, the recommendation levels and product prices are not necessarily in a monotonic relationship with the cost of the system.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"64 ","pages":"Article 101376"},"PeriodicalIF":6.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140051804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The moderating role of e-lifestyle on disclosure intention in mobile banking: A privacy calculus perspective","authors":"Cho-Hsun Lu","doi":"10.1016/j.elerap.2024.101374","DOIUrl":"https://doi.org/10.1016/j.elerap.2024.101374","url":null,"abstract":"<div><p>Advancements in information and communication technologies (ICT) have transformed the financial industry into “Fintech” and mobile banking. The COVID-19 pandemic has accelerated the adoption of mobile commerce services, with privacy and security concerns arising among consumers. This study adapted the privacy calculus theory to investigate the factors influencing consumers' willingness to provide personal information in mobile banking. It also examines the moderating role of e-lifestyle in the relationship between perceived benefits and risks and the intention to use mobile banking. The results show that perceived benefits outweigh perceived risks, motivating users to provide personal data and use mobile banking. E-lifestyle clusters also moderate consumer attitudes towards mobile banking adoption, with different effects for Mobile Service Enthusiasts and Neutrals. Financial institutions can enhance user trust and adoption by understanding these factors and tailoring mobile banking experiences to users' preferences and lifestyles.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"64 ","pages":"Article 101374"},"PeriodicalIF":6.0,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139942312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimal manufacturer strategy for live-stream selling and product quality","authors":"Xingtang Wang , Xiaohua Han , Yue Chen","doi":"10.1016/j.elerap.2024.101372","DOIUrl":"10.1016/j.elerap.2024.101372","url":null,"abstract":"<div><p>With the development of online platforms, live streaming has become an influential option for manufacturers' sales models. Manufacturers can choose to sell their products on their own or through live streaming platforms. Manufacturers' choices are influenced by their customer base choices. Customer groups have different valuations of products and different levels of patience (waiting costs). In this paper, we construct a two-period game model to analyze the impact of product quality on the sales patterns of manufacturers considering strategic customer behavior. We find that when product quality is relatively low, the manufacturer chooses the live streaming platform to sell the product in the early stage and chooses to sell the product directly in the later stage. When the quality of the product is relatively high, the manufacturer chooses to sell the product directly in both periods. Selling products through live streaming platforms leads to an upgrade in product pricing and may result in higher product pricing in the later period than in the earlier period. Furthermore, we analyze the impact of the manufacturer's livestreaming behavior on the firm's endogenous choice of product quality. We find that a manufacturer's short-term (one period) live streaming reduces product quality, while long-term (two periods) live streaming improves product quality.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"64 ","pages":"Article 101372"},"PeriodicalIF":6.0,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139884196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evaluating differential pricing in e-commerce from the perspective of utility","authors":"Gaoyong Han, Zhiyong Feng, Shizhan Chen, Xiao Xue, Hongyue Wu","doi":"10.1016/j.elerap.2024.101373","DOIUrl":"10.1016/j.elerap.2024.101373","url":null,"abstract":"<div><p>Differential pricing in e-commerce has sparked discussions about price discrimination. However, due to the difficulty in measuring consumers’ satisfaction with different prices for the same product, it is hard to quantitatively assess the impact of differential pricing on the interests of merchants and consumers. In this paper, the differential pricing in e-commerce is evaluated from the perspective of utility. For empirical study, a differential pricing strategy is implemented based on reinforcement learning, which can set individualized prices according to different consumption patterns. Utility theory is introduced to quantitatively evaluate the impact of differential pricing on the interests of consumers from two aspects, namely consumer utility and consumer surplus. A win–win situation for merchants and consumers is observed. After a merchant who adopts the proposed differential pricing strategy joins the market competition, not only will it earn more profit, but the utility and surplus of consumers will also increase. The investigation can provide a reference for market supervisors to implement algorithmic regulation.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"64 ","pages":"Article 101373"},"PeriodicalIF":6.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139872126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Determinants of trust and purchase intention in social commerce: Perceived price fairness and trust disposition as moderators","authors":"Madugoda Gunaratnege Senali , Mohammad Iranmanesh , Morteza Ghobakhloo , Behzad Foroughi , Shahla Asadi , Abderahman Rejeb","doi":"10.1016/j.elerap.2024.101370","DOIUrl":"https://doi.org/10.1016/j.elerap.2024.101370","url":null,"abstract":"<div><p>The study investigates the determinants of trust in sellers and products and purchase intention in the social commerce (s-commerce) context by considering the moderating effects of trust disposition and perceived price fairness. The data were collected from 416 individuals who have followed at least one seller on Instagram and analysed using the Partial Least Squares (PLS) approach. The findings revealed that review quantity, review quality, perceived symmetric product information, and responsiveness positively influence trust in seller. The direct influence of review quality on trust in products was confirmed. Trust disposition negatively moderates the impacts of review quality on trust in sellers and responsiveness on trust in products. Furthermore, perceived price fairness positively moderates the influence of trust in sellers and products on purchase intention. The findings extend the literature on s-commerce in several ways. The findings enable s-commerce sellers to formulate effective marketing strategies and boost purchase intention.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"64 ","pages":"Article 101370"},"PeriodicalIF":6.0,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139726132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Ensemble learning with dynamic weighting for response modeling in direct marketing","authors":"Xin Zhang , Yalan Zhou , Zhibin Lin , Yu Wang","doi":"10.1016/j.elerap.2024.101371","DOIUrl":"10.1016/j.elerap.2024.101371","url":null,"abstract":"<div><p>Response modeling, a key to successful direct marketing, has become increasingly prevalent in recent years. However, it practically suffers from the difficulty of class imbalance, i.e., the number of responding (target) customers is often much smaller than that of the non-responding customers. This issue would result in a response model that is biased to the majority class, leading to the low prediction accuracy on the responding customers. In this study, we develop an Ensemble Learning with Dynamic Weighting (ELDW) approach to address the above problem. The proposed ELDW includes two stages. In the first stage, all the minority class instances are combined with different majority class instances to form a number of training subsets, and a base classifiers is trained in each subset. In the second stage, the results of the base classifiers are dynamically integrated considering two factors. The first factor is the cross entropy of neighbors in each subset, and the second factor is the feature similarity to the minority class instances. In order to evaluate the performance of ELDW, we conduct experimental studies on 10 imbalanced benchmark datasets. The results show that compared with other state-of-the-art imbalance classification algorithms, ELDW achieves higher accuracy on the minority class. Last, we apply the ELDW to a direct marketing activity of an insurance company to identify the target customers under a limited budget.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"64 ","pages":"Article 101371"},"PeriodicalIF":6.0,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139883740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A true friend or frenemy?: Cross-platform effects on online reviews in the sharing economy","authors":"Hyunhee Woo , Shijin Yoo","doi":"10.1016/j.elerap.2024.101368","DOIUrl":"https://doi.org/10.1016/j.elerap.2024.101368","url":null,"abstract":"<div><p>This study examines how ride-sharing platforms (e.g., Uber) influence the online reviews of a home-sharing platform (e.g., Airbnb) based on a natural experiment conducted in the city of Austin, Texas, in the United States. A causal relationship between ride-sharing platforms and the valence and helpfulness of online reviews on a home-sharing platform is evaluated through propensity score matching and difference-in-differences estimation. The empirical evidence shows that the valence and helpfulness of online reviews on Airbnb increased during the period when Uber/Lyft was withdrawn from the market. Furthermore, there are asymmetric interaction effects depending on the location of the property. Specifically, the effect of ride-sharing platforms on review valence is stronger for properties located in less accessible areas, whereas the effect on review helpfulness is more pronounced for properties in more accessible locations.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"64 ","pages":"Article 101368"},"PeriodicalIF":6.0,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139726133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}