Electronic Commerce Research and Applications最新文献

{"title":"How retailers can gain more profitability driven by digital technology: Live streaming promotion and blockchain technology traceability?","authors":"Xingfen Liu ,&nbsp;Zhongbao Zhou ,&nbsp;Minhui Hu ,&nbsp;Feimin Zhong","doi":"10.1016/j.elerap.2024.101445","DOIUrl":"10.1016/j.elerap.2024.101445","url":null,"abstract":"<div><p>Live streaming in e-commerce often faces challenges like counterfeit products and high return rates. To mitigate this issue, retailers can adopt blockchain technology for product traceability to enhance consumer trust, i.e., blockchain-traceable products may be sold in live streaming. Our paper presents three analytical models under various return policies to explore how live streaming and blockchain technology interact in e-commerce. Retailers can invest in live streaming with influencers to attract consumers and in blockchain technology to reduce product returns, benefiting from a <em>demand-enhancing effect</em> and a <em>price-enhancing effect</em>, respectively. The retailer’s investment strategy between live streaming and blockchain technology depends on the interactions of these two effects, moderated by the retailer’s budget type, the market commission level of live streaming, and the traceability cost of blockchain technology. For budget-constrained retailers, live streaming and blockchain technology act as substitutes. When the commission level is low (high) and the traceability cost is high (low), the demand-enhancing (price-enhancing) effect dominates the price-enhancing (demand-enhancing) effect, thus the retailer invests in live streaming (blockchain technology) as a substitute for blockchain technology (live streaming). Conversely, for budget-unconstrained retailers, they may act as complements, prompting investment in both when commission levels and traceability costs are low. The retailer does not invest in either when both the commission level and traceability cost are high. We extend our results to a full refund policy to show the robustness of our result and find that it reduces the retailer’s incentive to invest in live streaming or blockchain technology.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"68 ","pages":"Article 101445"},"PeriodicalIF":5.9,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142151734","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":"Understanding and forecasting consumer sequential multiscreen viewing behavior","authors":"Yang Shi ,&nbsp;Yuqing Yang ,&nbsp;Lianlian Song","doi":"10.1016/j.elerap.2024.101443","DOIUrl":"10.1016/j.elerap.2024.101443","url":null,"abstract":"<div><p>Nowadays, consumers often sequentially use multiple screens to watch media content, so that firms advertise on TV, websites, and apps at the same time period to reach consumers widely. However, sequential multiscreeners may repeated exposure to the same advertisement and develop negative attitudes. Utilizing real-world data, this paper employs a zero-inflated negative binomial (ZINB) model to predict consumer sequential multiscreen viewing frequency. Moreover, we quantify the net impacts of significant predictors on the sequential multiscreen viewing frequency and find that media factors (such as number of viewing devices, internet access, PC screen size, cellphone ownership, and device concentration ratio) have equivalent impacts as audience factors (including user demographics and past viewing behaviors) and the new created variable device concentration ratio has the largest impact. The accurate prediction and quantified net impacts can guide firms allocate their advertising budget more efficiently across multiple screens and avoid consumer overexposure to the same ad content.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"67 ","pages":"Article 101443"},"PeriodicalIF":5.9,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142088813","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":"How to enhance consumers’ purchase intention in live commerce? An affordance perspective and the moderating role of age","authors":"Qian Wang,&nbsp;Xixi Li,&nbsp;Xiangbin Yan,&nbsp;Ruihao Li","doi":"10.1016/j.elerap.2024.101438","DOIUrl":"10.1016/j.elerap.2024.101438","url":null,"abstract":"<div><p>Live commerce is a novel form of social commerce characterized by real-time interaction and synchronous visualization. Drawing upon affordance theory and the affective-cognitive framework, we propose a comprehensive research model that integrates three key dimensions of affordances of live commerce technology, namely utilitarian (visibility), social (social presence, interactivity, self-presentation), and hedonic affordances (entertainment), together with consumers’ cognitive and affective states (perceived diagnosticity and psychological distance). Furthermore, we explore age as an important contingency factor in understanding consumers’ purchase intention in live commerce. We collect data from 353 consumers who have live shopping experiences in China and analyze the research model with the structural equation model approach. Results indicate that visibility, social presence, and interactivity positively contribute to perceived diagnosticity, whereas entertainment and the three social affordances reduce psychological distance. Notably, the influence of perceived diagnosticity on purchase intention is more pronounced among older consumers, whereas the impact of psychological distance on purchase intention is stronger among younger consumers. This study not only advances the understanding of affordance theory within live commerce contexts but also offers practical insights for streamers and live commerce platforms.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"67 ","pages":"Article 101438"},"PeriodicalIF":5.9,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141954565","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":"LIO-PAY: Sustainable low-cost offline payment solution","authors":"Sravan S.S. ,&nbsp;Susmita Mandal ,&nbsp;P.J.A. Alphonse","doi":"10.1016/j.elerap.2024.101440","DOIUrl":"10.1016/j.elerap.2024.101440","url":null,"abstract":"<div><p>Offline payment solutions exist today to enable customers to avail themselves of the privileges of the cashless economy. Financial inclusion is visualized as a key factor in encouraging digital transactions in rural and semi-urban regions. Recently, the Government of India, along with the Reserve Bank of India, announced a framework that allows offline payments with finite transaction limits. This aims at providing access to formal financial services in an affordable manner to deepen financial inclusion. However, the remote population rarely access their digital bank accounts due to intermittent network connectivity issues. Hence, the majority of these accounts are in a dormant state, which demeans the impact of financial inclusion. The aim of this research is to design and develop a sustainable, low-cost, highly efficient offline payment solution using a LoRa-enabled IoT ecosystem to connect with Space Information Network (SIN). A novel offline payment system is designed with features of a) recharge and b) payment with offline wallet technology, which can be availed of in the absence of Internet or telecommunication services. The proposed solution, LIO-PAY, allows merchants and end users across the ecosystem to run seamless transactions. We developed a proof of concept and tested it in a lab setup with volunteers to analyze the usability of the application for initiating transactions. We examined 46 customer-initiated transactions and found that 16 (around 34.8%) failed due to merchant data entry errors, likely typos. In a separate analysis of these transactions, 4 customers (approximately 11.5%) incorrectly entered their PIN. The average time to complete a transaction was 35.42 s. Bringing satellite payments to life faces hurdles but holds immense promise for the unbanked. Getting the green light from banking authorities and the satellite network provider is no easy feat. Even if approved, launching a whole new satellite network just for low-value transactions might be too expensive. A more realistic approach could be using existing telecom satellites to bounce transaction data to banks. Regulatory approval is needed from both banking authorities and the satellite network provider. Hence, we simulated the SIN environment with seven LEO (Low Earth Orbit) satellites using the Matlab tool. These simulations revealed a transmission time range of 2 min to 1 h, indicating a reasonable timeframe for delivering information to a ground station via SIN. Despite terrestrial networks expanding their reach, satellite-based solutions hold promise for areas with no or weak internet connectivity. This becomes even more attractive if launch costs go down or if banking authorities help subsidize the service to bring financial inclusion to remote regions. Thus, we hope this approach may help researchers and policymakers visualize the possibilities of bridging the gap in financial inclusion.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"67 ","pages":"Article 101440"},"PeriodicalIF":5.9,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141782249","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":"GTR: An explainable Graph Topic-aware Recommender for scholarly document","authors":"Ping Ni ,&nbsp;Xianquan Wang ,&nbsp;Bing Lv ,&nbsp;Likang Wu","doi":"10.1016/j.elerap.2024.101439","DOIUrl":"10.1016/j.elerap.2024.101439","url":null,"abstract":"<div><p>In the ever-expanding digital library of scholarly articles, navigating through the vast amount of available research papers to find relevant work poses a significant challenge to researchers. Addressing this issue, we introduce the Graph Topic-aware Recommender (GTR), an innovative end-to-end deep neural model tailored for scholarly recommendation systems. Unlike traditional methods that primarily rely on Collaborative Filtering, Content-Based Filtering, and Graph-Based approaches with limited consideration of the intricate citing logic within scientific documents, GTR captures the nuanced relationships and citing topics inherent in scholarly networks. By leveraging an advanced neural topic modeling technique, GTR transfers item-to-user recommendation into an item-to-item framework, facilitating a more accurate and contextually relevant paper recommendation process. Our study leverages the contextual richness of scholarly networks through Graph Neural Networks (GNNs), addressing the overlooked aspect of differentiated semantic relationships within these networks. The model stands out by effectively mining relation topics and conducting differentiated representations to minimize information redundancy, which enables GTR to adaptively infer latent citation topics, enhancing the model’s explainability and recommendation accuracy. Besides, the optimization function of GTR incorporates a novel component pooling module, designed to encode the sub-graph information of samples without traditional message passing, thereby improving the model’s efficiency and scalability. Through comprehensive experiments on multiple real-world scholarly datasets, GTR demonstrates superior performance over existing state-of-the-art models, offering both high accuracy and explainability in its recommendations.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"67 ","pages":"Article 101439"},"PeriodicalIF":5.9,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141782250","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":"Live streaming product display or social interaction: How do they influence consumer intention and behavior? A heuristic-systematic perspective","authors":"Meiling Xin ,&nbsp;Wei Liu ,&nbsp;Ling Jian","doi":"10.1016/j.elerap.2024.101437","DOIUrl":"10.1016/j.elerap.2024.101437","url":null,"abstract":"<div><p>The live streaming e-commerce industry is developing rapidly, significantly influencing consumer decision-making processes. Unlike previous studies focusing solely on singular outcomes, this research concurrently examines impulse buying and repurchase intentions. It constructs a theoretical model based on the heuristic-systematic model to validate the effectiveness of two types of marketing signals (product-related signals and interactive signals) in live streaming. Additionally, this study introduces the uniqueness of streamers, products, and performance as moderating variables, aiming to elucidate the mechanisms through which different marketing signals in live streaming affect consumer cognition, impulse buying, and repurchase intentions. Through the collection and analysis of 468 survey responses, this research reveals that viewer-streamer interactive signals and viewer-viewer interactive signals positively impact the narrowing of psychological distance. Simultaneously, product-related signals positively influence the enhancing of consumer perceived value. Furthermore, three interesting moderating effects are identified. By integrating signal theory and the heuristic-systematic model, this study provides a clear depiction of the pathway through which consumers process marketing signals in live streaming, offering theoretical support and practical insights for streamers, platforms, and businesses.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"67 ","pages":"Article 101437"},"PeriodicalIF":5.9,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141782251","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 impact of high arousal and displeasure on online review helpfulness: Exploring the moderating role of product involvement","authors":"Seongjun Yun ,&nbsp;Soyoung Jun ,&nbsp;Jong Woo Kim","doi":"10.1016/j.elerap.2024.101436","DOIUrl":"10.1016/j.elerap.2024.101436","url":null,"abstract":"<div><p>Online reviews help consumers make purchasing decisions on e-commerce platforms by addressing uncertainties in online shopping. In the context of information overload, the value of review helpfulness has become increasingly evident. This study aims to explore the effects of discrete emotions on helpfulness by categorizing Ekman’s six basic emotions based on arousal and valence, and extracting their probabilities from Amazon reviews using BERT (Bidirectional Encoder Representations from Transformers). The results indicate high arousal or negative emotions adversely influence review usefulness. Furthermore, anger, disgust, and fear, characterized by high arousal and displeasure, significantly affect the perceived helpfulness of the reviews. Additionally, we identify product involvement as a significant moderator, suggesting that consumers’ investment in products influences their interpretation of reviews’ emotional content. This study contributes to understanding the relationship between discrete emotions, product involvement, and review helpfulness in e-commerce, offering insights for online retailers and platform developers to enhance consumer decision-making.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"67 ","pages":"Article 101436"},"PeriodicalIF":5.9,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141853379","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":"Promote or prevent manufacturer encroachment? The strategic role of selling format under asymmetric demand information","authors":"Lu-Yu Chang ,&nbsp;Chuan-Xu Wang ,&nbsp;Qing Zhang","doi":"10.1016/j.elerap.2024.101435","DOIUrl":"10.1016/j.elerap.2024.101435","url":null,"abstract":"<div><p>Conventional wisdom demonstrates that the retailer sharing information voluntarily can prevent encroachment (i.e., information strategy) under the reselling agreement. Considering the prevailing emerging agency selling agreement, we reexamine the effectiveness of the platform’s information strategy when the manufacturer and platform jointly participate in selling format decisions, and further analyze the strategic role of selling format in preventing encroachment. We show that adjusting selling format decision (i.e., sales strategy) can also be an anti-encroachment tool which may be even better than information strategy for the platform. Interestingly, adopting sales strategy and information strategy synthetically (i.e., synthetical strategy) may produce a synergy area to prevent encroachment, outperforming the two strategies used alone. Surprisingly, selling format can also serve as a strategic tool for the manufacturer to promote encroachment. Specifically, if the manufacturer changes from reselling to agency selling, information strategy’s anti-encroachment effectiveness may be eliminated, thus encouraging encroachment. Moreover, switching to agency selling may induce the platform to change information sharing decision, resulting in promoting encroachment.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"67 ","pages":"Article 101435"},"PeriodicalIF":5.9,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141699005","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":"In-processing and post-processing strategies for balancing accuracy and sustainability in product recommendations","authors":"Chloe Satinet ,&nbsp;François Fouss ,&nbsp;Marco Saerens ,&nbsp;Pierre Leleux","doi":"10.1016/j.elerap.2024.101433","DOIUrl":"10.1016/j.elerap.2024.101433","url":null,"abstract":"<div><p>Many e-commerce websites use product recommendation systems. With the growing awareness of the environmental impact of our consumption, these recommender systems, well-known for encouraging purchases and consumption, are being challenged. In recent literature, it has been suggested that recommender systems should balance the exploitation of existing preferences with the exploration of sustainable items, i.e., to make sustainable alternatives more accessible to consumers and promote sustainable consumption habits. In this paper, we therefore analyse how to increase the presence of sustainable products in recommendation lists, without overly decreasing their accuracy. More precisely, we test three in-processing and four post-processing strategies using an offline experimental design. The post-processing strategies 1 (relevance scores’ adjustment) and 3.1. (incremental list formation with calibration) manage to offer interesting accuracy-sustainability trade-offs on our datasets. For instance, by applying post-processing strategy 3.1 to a content-based recommendation algorithm, a gain of up to 20% can be achieved for the sustainability metric without any loss of accuracy. Greater sustainability improvements can be achieved if a loss of accuracy is tolerated. For practitioners, i.e., e-commerce platforms, this means that they could continue to offer relevant recommendations while promoting a more sustainable consumption.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"67 ","pages":"Article 101433"},"PeriodicalIF":5.9,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141710532","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":"Selling mode choice with logistics service: Reselling or online marketplace?","authors":"Jia Qian ,&nbsp;Jiannan Shen ,&nbsp;Xiaofeng Shao","doi":"10.1016/j.elerap.2024.101434","DOIUrl":"10.1016/j.elerap.2024.101434","url":null,"abstract":"<div><p>Reselling or online marketplace are the two common selling modes for e-tailers in online retailing, and in each selling mode, logistics service is an important strategy that is provided by e-tailers, manufacturers, or third-party logistics (abbreviated as 3PL) companies. We formulate a multi-stage game to sequentially investigate the optimal selling mode and the equilibrium of service format selection and find that under the identical logistics service costs for all service providers, the e-tailer is willing to choose reselling when the fraction of the manufacturer’s revenue sharing as a commission rate is low or choose online marketplace when the fraction is medium–low. When the fraction is medium to high, the selling mode choice is influenced by the fraction and the logistics service’s cost sensitivity to demand, and interestingly the e-tailer does not always choose online marketplace with a high fraction of revenue sharing. Further, we find the logistics service undertaken by the e-tailer is the equilibrium when the e-tailer chooses reselling, or online marketplace with a medium to high fraction, while the manufacturer is the equilibrium when the e-tailer chooses online marketplace with a medium–low fraction. Moreover, we identify the “win–win” conditions by examining the consistency in choosing the selling mode between the e-tailer and the manufacturer. Finally, the e-tailer and manufacturer would outsource the logistics service to a 3PL company with a lower service cost regardless of the selling mode. Last, the optimal selling mode and the consistency are robust under each extended discussion.</p></div>","PeriodicalId":50541,"journal":{"name":"Electronic Commerce Research and Applications","volume":"67 ","pages":"Article 101434"},"PeriodicalIF":5.9,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141623254","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}