Pub Date : 2024-11-01DOI: 10.1016/j.elerap.2024.101465
Furong Jia , Xueqi Bao , Jie Yu
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 meta-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.
{"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}
Pub Date : 2024-11-01DOI: 10.1016/j.elerap.2024.101468
Wenchao Du , Xitong Guo , Tianshi Wu , Wu Liu , Doug Vogel
As an emerging service mode in online health communities (OHCs), services provided by a team of medical professionals can provide more effective consultation services than individual professionals working in isolation, thus better meeting patients’ needs. However, little is known about the impact of team services on individual services in the OHC context. Based on signaling theory and the trust model, this study examines the effects of online medical team participation on physicians’ individual online service performance. We analyze a panel dataset from 4,509 physicians in 2,663 medical teams on a leading physician-driven OHC in China. The results indicate (1) the positive effect of physicians’ integrity and outstanding ability within the team, (2) the curvilinear effect of physicians’ benevolence during team service consultations, and (3) the moderating role of physicians’ background similarity and team size. Our results contribute to the literature on signaling theory and offer insights for practitioners and academicians.
{"title":"The impact of online medical team participation on physicians’ individual online service","authors":"Wenchao Du , Xitong Guo , Tianshi Wu , Wu Liu , Doug Vogel","doi":"10.1016/j.elerap.2024.101468","DOIUrl":"10.1016/j.elerap.2024.101468","url":null,"abstract":"<div><div>As an emerging service mode in online health communities (OHCs), services provided by a team of medical professionals can provide more effective consultation services than individual professionals working in isolation, thus better meeting patients’ needs. However, little is known about the impact of team services on individual services in the OHC context. Based on signaling theory and the trust model, this study examines the effects of online medical team participation on physicians’ individual online service performance. We analyze a panel dataset from 4,509 physicians in 2,663 medical teams on a leading physician-driven OHC in China. The results indicate (1) the positive effect of physicians’ integrity and outstanding ability within the team, (2) the curvilinear effect of physicians’ benevolence during team service consultations, and (3) the moderating role of physicians’ background similarity and team size. Our results contribute to the literature on signaling theory and offer insights for practitioners and academicians.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"68 ","pages":"Article 101468"},"PeriodicalIF":5.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142723176","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}
Pub Date : 2024-11-01DOI: 10.1016/j.elerap.2024.101460
Zhaojun Yang , Yinmeng Li , Jun Sun , Xu Hu , Yali Zhang
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.
{"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}
Pub Date : 2024-11-01DOI: 10.1016/j.elerap.2024.101469
Lin Zhang , Zhen Shao , Tuo Zhao , Xiaotong Li , Jianfeng Zhang
Despite the growing literature focusing on digitalization in e-commerce, there remains a scarcity of studies exploring innovative ways to enhance online consumers’ trust. Our study investigates the digitally-enabled antecedents of diverse trust targets and the moderating effect of blockchain traceability labels on trust-related behaviors. The data was collected from 346 consumers through the between-subject quasi-experiment in a Chinese digital commerce platform, and structural equation modeling was used to analyze the research model and hypotheses. Our findings reveal that digitally-enabled product informativeness and product quality are important antecedents contributing to trust in products, while digitally-enabled platform reputation and platform assurance serve as significant precursors for trust in platform. Furthermore, a multi-group analysis discloses that the roles of trust targets’ effects on repurchase intention are dependent upon the adoption of blockchain traceability labels. Expanding the trust-building framework by exploring digitally-enabled antecedents towards two distinct trust targets, our study delivers valuable insights into the digital transformation process of e-commerce.
{"title":"Digitally-enabled antecedents of trust, repurchase intention and the impact of blockchain traceability labels","authors":"Lin Zhang , Zhen Shao , Tuo Zhao , Xiaotong Li , Jianfeng Zhang","doi":"10.1016/j.elerap.2024.101469","DOIUrl":"10.1016/j.elerap.2024.101469","url":null,"abstract":"<div><div>Despite the growing literature focusing on digitalization in e-commerce, there remains a scarcity of studies exploring innovative ways to enhance online consumers’ trust. Our study investigates the digitally-enabled antecedents of diverse trust targets and the moderating effect of blockchain traceability labels on trust-related behaviors. The data was collected from 346 consumers through the between-subject quasi-experiment in a Chinese digital commerce platform, and structural equation modeling was used to analyze the research model and hypotheses. Our findings reveal that digitally-enabled product informativeness and product quality are important antecedents contributing to trust in products, while digitally-enabled platform reputation and platform assurance serve as significant precursors for trust in platform. Furthermore, a multi-group analysis discloses that the roles of trust targets’ effects on repurchase intention are dependent upon the adoption of blockchain traceability labels. Expanding the trust-building framework by exploring digitally-enabled antecedents towards two distinct trust targets, our study delivers valuable insights into the digital transformation process of e-commerce.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"68 ","pages":"Article 101469"},"PeriodicalIF":5.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142723177","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}
Pub Date : 2024-11-01DOI: 10.1016/j.elerap.2024.101462
Weiyi Qin, Hong Wu, Sihan Wan
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.
{"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}
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.
{"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}
Pub Date : 2024-11-01DOI: 10.1016/j.elerap.2024.101456
Joaquin Rodriguez , Gabriele Piccoli
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: inside and outside 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.
{"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}
Pub Date : 2024-11-01DOI: 10.1016/j.elerap.2024.101457
Chao Fang , Shuzhong Ma
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.
{"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}
Pub Date : 2024-11-01DOI: 10.1016/j.elerap.2024.101461
Zishuo Jin , Feng Ye , Nadia Nedjah , Xuejie Zhang
With the rapid development of the Internet and the concomitant exponential growth of information, we have entered an era characterized by information overload. The abundance of data has rendered it increasingly arduous for users to pinpoint specific information they require. However, various forms of recommendation algorithms proffer solutions to this challenge. These algorithms predict items or products that may pique users’ interest based on their historical behavior, preferences, and interests. As one of the current hot research fields, recommendation algorithms are extensively employed across E-commerce platforms, movie streaming services, and various other contexts to cater to the diverse needs of users. In this context, a multi-recommendation algorithms comparison platform is proposed, which includes a two-fold model: online evaluation and offline evaluation. Taking the data set of the Chinese Amazon online shopping mall as the experimental data, item-based collaborative filtering (Item-CF) algorithm, content-based (TF-IDF) algorithm, item2vec model, alternating least squares (ALS) algorithm and neural network algorithm are evaluated in the offline model. In the real-time recommendation part, model-based algorithm is used to achieve the users’ rating mechanism. And the metrics used for evaluation include: precision, recall, accuracy and performance. The experimental results show that the average performance of hybrid algorithms such as ALS algorithm and neural network algorithm is higher than that of other traditional algorithms, and the real-time recommendation system achieves the purpose of improving recommendation speed. By integrating various recommender algorithms into the multi-recommendation algorithms comparison platform, this platform automatically computes and presents various performance indicators based on the user-provided dataset. It aids E-commerce platforms in making informed decisions regarding algorithm selection.
{"title":"A comparative study of various recommendation algorithms based on E-commerce big data","authors":"Zishuo Jin , Feng Ye , Nadia Nedjah , Xuejie Zhang","doi":"10.1016/j.elerap.2024.101461","DOIUrl":"10.1016/j.elerap.2024.101461","url":null,"abstract":"<div><div>With the rapid development of the Internet and the concomitant exponential growth of information, we have entered an era characterized by information overload. The abundance of data has rendered it increasingly arduous for users to pinpoint specific information they require. However, various forms of recommendation algorithms proffer solutions to this challenge. These algorithms predict items or products that may pique users’ interest based on their historical behavior, preferences, and interests. As one of the current hot research fields, recommendation algorithms are extensively employed across E-commerce platforms, movie streaming services, and various other contexts to cater to the diverse needs of users. In this context, a multi-recommendation algorithms comparison platform is proposed, which includes a two-fold model: online evaluation and offline evaluation. Taking the data set of the Chinese Amazon online shopping mall as the experimental data, item-based collaborative filtering (Item-CF) algorithm, content-based (TF-IDF) algorithm, item2vec model, alternating least squares (ALS) algorithm and neural network algorithm are evaluated in the offline model. In the real-time recommendation part, model-based algorithm is used to achieve the users’ rating mechanism. And the metrics used for evaluation include: precision, recall, accuracy and performance. The experimental results show that the average performance of hybrid algorithms such as ALS algorithm and neural network algorithm is higher than that of other traditional algorithms, and the real-time recommendation system achieves the purpose of improving recommendation speed. By integrating various recommender algorithms into the multi-recommendation algorithms comparison platform, this platform automatically computes and presents various performance indicators based on the user-provided dataset. It aids E-commerce platforms in making informed decisions regarding algorithm selection.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"68 ","pages":"Article 101461"},"PeriodicalIF":5.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142656672","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}
Pub Date : 2024-11-01DOI: 10.1016/j.elerap.2024.101464
Yanfen Zhang, Qi Xu
As live streaming selling continues to be an emerging channel with many uncertainties, brand manufacturers must adopt a deliberate approach to utilize this medium and develop their capabilities effectively. This study examines the adoption of live streaming selling by considering customers interacting with the streamer in real-time to acquire more product information and additional interaction value. Three sales models are constructed: the traditional selling channel (Model T), the live streaming selling channel (Model L), and the dual channel that combines traditional selling and live streaming selling (Model TL). The impact of live streaming selling on value creation is revealed through a comparative analysis. Finally, as an extension model, we consider the scenario where manufacturers pay streamers different commissions based on actual market demands. The results show that adopting live streaming selling depends on the commission and operating costs of live streaming. When the commission paid to the streamer is low, contemplating live streaming selling can create more value for all parties. When the commission is moderate, the manufacturer should adopt the dual channel of traditional selling and live streaming selling to create more value. Conversely, when the commission and operating costs are high, adopting live streaming selling is not recommended. Furthermore, when market demand is high, manufacturers achieve greater profits by paying streamers a fixed commission. Conversely, when market demand is low, manufacturers gain higher profits by paying streamers different commissions based on actual market demand.
{"title":"Whether and how to adopt live streaming Selling: A perspective on interaction value creation","authors":"Yanfen Zhang, Qi Xu","doi":"10.1016/j.elerap.2024.101464","DOIUrl":"10.1016/j.elerap.2024.101464","url":null,"abstract":"<div><div>As live streaming selling continues to be an emerging channel with many uncertainties, brand manufacturers must adopt a deliberate approach to utilize this medium and develop their capabilities effectively. This study examines the adoption of live streaming selling by considering customers interacting with the streamer in real-time to acquire more product information and additional interaction value. Three sales models are constructed: the traditional selling channel (Model T), the live streaming selling channel (Model L), and the dual channel that combines traditional selling and live streaming selling (Model TL). The impact of live streaming selling on value creation is revealed through a comparative analysis. Finally, as an extension model, we consider the scenario where manufacturers pay streamers different commissions based on actual market demands. The results show that adopting live streaming selling depends on the commission and operating costs of live streaming. When the commission paid to the streamer is low, contemplating live streaming selling can create more value for all parties. When the commission is moderate, the manufacturer should adopt the dual channel of traditional selling and live streaming selling to create more value. Conversely, when the commission and operating costs are high, adopting live streaming selling is not recommended. Furthermore, when market demand is high, manufacturers achieve greater profits by paying streamers a fixed commission. Conversely, when market demand is low, manufacturers gain higher profits by paying streamers different commissions based on actual market demand.</div></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"68 ","pages":"Article 101464"},"PeriodicalIF":5.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142656640","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}
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