{"title":"From efficiency to equity: A multi-user paradigm in mobile route optimization","authors":"Pengzhan Guo , Keli Xiao","doi":"10.1016/j.elerap.2024.101459","DOIUrl":"10.1016/j.elerap.2024.101459","url":null,"abstract":"<div><div>This study addresses the challenge of optimizing vehicle mobility in urban environments, which is significant for the advancement of smart city initiatives and spatial data analysis. We introduce a novel mobile recommendation system designed for multi-user scenarios, aiming to achieve a balance between effectiveness and fairness. The system prioritizes maximizing the profitability of vehicle service providers while ensuring an equitable distribution of recommended routes among users. Our approach features a redefined objective function that integrates a fairness criterion alongside path quality optimization. We further propose PSA-DLMA (Parallel Simulated Annealing with Deep Learning-Guided Move Adaptation), a stochastic path search method that leverages deep learning to guide move and strategy selection, alongside a dynamic termination mechanism and a parallel processing strategy. We validate our methodology using recent yellow taxi data from New York City and its surroundings, conducting comprehensive experiments to assess the performance of the system. The results demonstrate the superiority of PSA-DLMA over existing state-of-the-art solutions, offering significant contributions to improving urban vehicle mobility within the smart city framework.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"68 ","pages":"Article 101459"},"PeriodicalIF":5.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142656587","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":"Subjective variability of the “just-right feeling”: Effectiveness of social media advertising design","authors":"Ya Wang , Shuilong Wu , Jiajun Zhao , Yongna Yuan","doi":"10.1016/j.elerap.2024.101466","DOIUrl":"10.1016/j.elerap.2024.101466","url":null,"abstract":"<div><div>With the rapid advancement of AI and algorithmic technologies, social media platforms have gained the ability to identify consumer personality traits. However, developing compelling advertising strategies for individuals with different self-construals remains challenging. Based on construal level theory, this research investigates the interactions between shot scale, advertising appeals, and self-construal on social media. The results of the four empirical studies indicated that independent individuals prefer advertisements with long-shot images and desirability appeals. In contrast, interdependent individuals favor advertisements with close-up images and feasibility appeals. Furthermore, the findings reveal that long-shot images match with desirability appeals or close-up images paired with feasibility appeals significantly increase the click-through rate and foster more positive advertising attitudes. The above findings are central to the feeling right during information processing, which plays a crucial role in advertising acceptance. Therefore, this research constructs a new framework for personalized advertisement design in social media and offers a practical guide for businesses seeking to optimize their advertising strategies.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"68 ","pages":"Article 101466"},"PeriodicalIF":5.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142656641","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":"Antecedents of users’ switching intention to Central Bank Digital Currency: A push-pull-mooring model perspective","authors":"Chen Sha , Tong Che , Tingjie Xu , Zi Yang","doi":"10.1016/j.elerap.2024.101467","DOIUrl":"10.1016/j.elerap.2024.101467","url":null,"abstract":"<div><div>Since 2020, the People’s Bank of China has promoted the pilot work on e-CNY payment, but it has not been widely used and popularized. The public still prefers third-party payment as the main payment method. In the incumbent literature, most studies on e-CNY payment focus on the macro perspective and less on users. Based on grounded theory and the push–pull-mooring framework, we investigate users’ intention to switch from third-party payment to e-CNY payment, and identify fee cost, system function overload, convenience, trust, inertia, and external influence as core factors. The theoretical model and research hypotheses are validated using structural equation modeling approach. Results show that system function overload, convenience, trust, and external influence significantly facilitate switching intention, whereas inertia negatively impedes switching intention. The findings of this study enrich the literature on e-CNY and serve as a reference for the promotion of central bank digital currencies around the world.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"68 ","pages":"Article 101467"},"PeriodicalIF":5.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142656588","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":"Unveiling the forces driving expert activity: The impact of information environment and peer behavior on expert reviewer engagement behavior","authors":"Zhaoyang Yu , Zili Zhang , Yunzhijun Yu , Ziqiong Zhang","doi":"10.1016/j.elerap.2024.101463","DOIUrl":"10.1016/j.elerap.2024.101463","url":null,"abstract":"<div><div>Online platform engagement with customers, especially those with high expertise, is crucial for companies. As these expert customer reviews directly impact a company’s brand image and sales volume, an understanding of expert reviewer engagement behavior (EREB) is critical for companies’ marketplace success. This study explores the factors that influence EREB from two key situational cues: those from the company’s information environment and from peer expert behavior. Data from 144,634 Yelp reviewers and 5,080 restaurants were analyzed. The results reveal that companies with higher aggregate ratings are more likely to encourage EREB. The impact of overall and peer expert rating inconsistency on EREB varies: Overall rating inconsistency has a positive effect, while inconsistency among expert peers has a negative effect. Additionally, EREB exhibits herding and differentiation patterns in response to changes in peer expert engagement density. This results in a U-shaped relationship between EREB and peer expert engagement density, moderated by aggregate rating, overall rating inconsistency, and peer expert rating inconsistency. This study provides practical insights for marketers looking to engage expert customers and expands on the literature on expert customer engagement behavior.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"68 ","pages":"Article 101463"},"PeriodicalIF":5.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142656591","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":"Gamification on digital platform: A meta-analysis of affordance on behavior from value perspective","authors":"Furong Jia , Xueqi Bao , Jie Yu","doi":"10.1016/j.elerap.2024.101465","DOIUrl":"10.1016/j.elerap.2024.101465","url":null,"abstract":"<div><div>Gamification has become a widely applied technique in the digital platform sector. Despite prior research exploring gamification in various contexts from different angles, an integrated empirical study has yet to draw cohesive conclusions from these findings. This study, utilizing data from 34 papers (N = 35,856), has developed a <em>meta</em>-analytic framework comprised of 17 paths. Through this framework, we have identified immersion, achievement, and social as core gamification affordance constructs, as well as functional value, emotional value, and social value as perceived value constructs, and we have also designated user behavior as the outcome, utilizing the stimulus-organism-response (SOR) framework. The research results indicate that emotional value has a profound effect on behavior, with context, platform, and country moderating to the gamification mechanism. This study has significant implications for the further advancement of gamification in the digital platform.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"68 ","pages":"Article 101465"},"PeriodicalIF":5.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142656590","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}
Zhaojun Yang , Yinmeng Li , Jun Sun , Xu Hu , Yali Zhang
{"title":"Consumer private data collection strategies for AI-enabled products","authors":"Zhaojun Yang , Yinmeng Li , Jun Sun , Xu Hu , Yali Zhang","doi":"10.1016/j.elerap.2024.101460","DOIUrl":"10.1016/j.elerap.2024.101460","url":null,"abstract":"<div><div>The increasing use of artificial intelligence (AI) to enhance products and services has enabled personalized offerings and smarter functionalities through the analysis of consumer data. However, privacy concerns present significant challenges to the effective utilization and commercialization of AI-enabled products. To address these concerns, firms must carefully navigate consumer data privacy and develop appropriate data collection strategies to support future product intelligence, particularly with AI technologies like ChatGPT. This study examines two primary data collection approaches: the uniform policy strategy and the option menu strategy. A mathematical model is constructed to assess these strategies, considering factors such as information externalities and heterogeneous consumer privacy concerns. By comparing firm profits, consumer surplus, and social welfare under both strategies, the study finds that the option menu strategy becomes optimal when there are considerable differences in privacy concerns across consumer groups or when even smaller differences exist, but consumers place a high value on personalized services. These insights offer guidance to firms and policymakers in formulating appropriate data collection strategies for AI-enabled products.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"68 ","pages":"Article 101460"},"PeriodicalIF":5.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142656589","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 effects of physician’s brand positioning on diagnostic dispensing continuity and cross-provincial healthcare flow: Evidence from an online traditional Chinese medicine community","authors":"Weiyi Qin, Hong Wu, Sihan Wan","doi":"10.1016/j.elerap.2024.101462","DOIUrl":"10.1016/j.elerap.2024.101462","url":null,"abstract":"<div><div>Given the dilemma of inheriting and protecting Traditional Chinese Medicine (TCM), online personal branding can be an effective solution for TCM physicians to promote themselves and provide patients with better choices. However, there is a lack of understanding of the antecedents and consequences of TCM physicians’ brand value on online traditional Chinese medicine community (OTCMC). This paper empirically investigates the influences of physician brand positioning on brand value and added value, and examines the moderating effects of service quality and TCM regional disparity. Our results show that physicians on OTCMC could increase their brand value and added value by improving professional level, service price, and integration degree of four diagnostic methods. Moreover, service quality and TCM regional disparity positively moderate these effects. Our research contributes to the OTCMC literature and provides practical implications for TCM physicians to create brand value in online environment.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"68 ","pages":"Article 101462"},"PeriodicalIF":5.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142577843","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":"Who should provide a trade-in service under the online agency-selling mode?","authors":"Xigang Yuan , Zujun Ma , Xiaoqing Zhang , Dalin Zhang","doi":"10.1016/j.elerap.2024.101454","DOIUrl":"10.1016/j.elerap.2024.101454","url":null,"abstract":"<div><div>In real world practice, trade-in programs are offered by either a manufacturer or an e-commerce platform. Parties that offer a trade-in service are faced with a trade-off between trade-in rebates and the residual income. By adopting the game theory, this paper explored the selection of trade-in provider with respect to a manufacturer and an e-commerce platform. The results show that in some cases, all trade-in models generated higher manufacturing costs than models with no trade-in program. However, in other cases, not all trade-in models can cope with manufacturing costs that are higher than those associated with models that have no trade-in program. Furthermore, both above two firms will offer the trade-ins when profits which they have obtained satisfied a certain condition. We also identified an interesting phenomenon whereby the manufacturer decided whether it wanted to delegate the trade-ins to the e-commerce platform or provide it jointly. The e-commerce platform can decide whether it wants to accept the delegation or jointly offer it. This study also obtain that trade-in models makes customers get more surplus and can produce greater environmental benefits. Moreover, both the customer surplus and the environmental benefits in delegated trade-in model is the same that in jointly trade-in model.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"68 ","pages":"Article 101454"},"PeriodicalIF":5.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sustaining superior visibility within digital platforms through inside and outside competitive action repertoires","authors":"Joaquin Rodriguez , Gabriele Piccoli","doi":"10.1016/j.elerap.2024.101456","DOIUrl":"10.1016/j.elerap.2024.101456","url":null,"abstract":"<div><div>Although often credited with leveling the competitive playing field, platforms pose novel challenges for millions of complementors within their ecosystems. This study explores the tactics complementors use to maintain superior visibility on these platforms. Building on competitive repertoire theory, we conceptualize two categories of competitive actions that capture the dual environmental complexity faced by complementors: <em>inside</em> and <em>outside</em> competitive moves. We assemble a unique dataset from a leading food delivery platform in Europe, providing a comprehensive view of complementors’ competitive repertoires and visibility over ten months. We find that complementors’ inside competitive repertoires with high volume and complexity are associated with sustained superior visibility. However, we also find that complementors whose competitive repertoires diverge from those of their competitors are more likely to exit the superior visibility strata. Additionally, we identify outside action repertoires as a second pathway to differentiation, built on complementors’ idiosyncratic resources and less dependent on platform architecture and rules.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"68 ","pages":"Article 101456"},"PeriodicalIF":5.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142572551","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":"Home is best: Review source and cross-border online shopping","authors":"Chao Fang , Shuzhong Ma","doi":"10.1016/j.elerap.2024.101457","DOIUrl":"10.1016/j.elerap.2024.101457","url":null,"abstract":"<div><div>Electronic word of mouth (eWOM) has attracted considerable research interest in the past two decades. This paper revisits the impact of eWOM in the context of international business. Using review data scraped from AliExpress, a cross-border e-commerce platform, we show that the impact of online reviews is related to the identity of reviewers. Consumers are most affected by reviews from their home country, followed by reviews from neighboring countries, while they are not affected by reviews from strangers. This confirms the existence of home bias in the consumption of review information. In addition, the bias is more profound among consumers from countries with higher levels of uncertainty avoidance and trust. Our study is among the first to investigate eWOM in digitized international business. By discovering and reporting how consumers react to reviews with different identities, we offer actionable implications for digital platforms to improve the effectiveness of online reviews.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"68 ","pages":"Article 101457"},"PeriodicalIF":5.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552725","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}