Electronic Commerce Research最新文献

Sentiment prediction means analyzing the emotional tone or opinion contained in textual data such as reviews or posts on social media. Recommendation systems use this sentiment analysis to recommend appropriate products or content to the users. The limitations of the existing model are related to data quality and quantity issues and dealing with different scenes and languages. Hence, to overcome all these challenges, the Hybrid Self-Attention Layer Optimized Incentive Learning–based Collaborative Filtering-BiLSTM (Hybrid AT-IN based CF-BiLSTM) model was developed for sentiment prediction and recommendation based on e-commerce platforms. The usage of CF, BiLSTM networks, and a hybrid self-attention mechanism ensure the model's unrivaled precision and performance in the domain of sentiment analysis and consumer preferences. Relying on the CF, the model accumulates valuable data about user-item interactions, and BiLSTM networks process the text, employing information from the surrounding context. The model utilizes a hybrid self-attention mechanism that automatically assigns weights based on the importance of words in user reviews; this allows it to focus on the main features and improve understanding of sentiments. Moreover, applying incentive learning lets the model adapt and optimize recommendations based on changing user behaviors, leading to greater user satisfaction and engagement. In particular, the CCO-TLI model showcases significantly superior values with 98.03% accuracy, the lowest mean square error value of 1.42, 98.68% precision, 97.04% recall, and the smallest root mean squared error of 1.19 compared to existing models.

Online delivery platforms (ODPs) deliver products from restaurants, retailers, etc. to end customers. As an essential resource, ODPs must pay attention to the efficiency of delivery couriers. One such decision is their location and capacity allocation. This article discusses a competitive capacity and location decision problem in a market served by two ODPs. Both ODPs are trying to attract new customers to their platforms. For customers, timely delivery is the critical choice determinant. ODPs service existing demand orders on time by appropriately locating their couriers. Concurrently, they wish to capture potential demand by location and capacity allocation decisions. The competition propagates with both platforms acting strategically to stop the other from capturing new demand. The problem is formulated as a simultaneous two-person game and shown to be a Nash equilibrium problem. A mixed-integer linear programming model is proposed to find the Nash equilibrium location and capacity decisions of the players. This article contributes in two ways. First, it defines a new decision problem for an emerging area. Second, it finds important operational insights with managerial implications. The arguments for solution concepts, Nash equilibrium, and the efficiency of the proposed solution method are demonstrated through numerical experiments. It comes out that increasing the capacity budget is not always productive for ODPs. Also, for a weaker player, improving location decisions for servicing existing customers can be more beneficial than exclusively pursuing new customers. For the stronger player, competition may lead to underutilization of capacity.

Short video marketing has become a new marketing strategy favored by brands in the new media era. How short videos affect users' purchase behavior is a concern for businesses. This study aims to explore the mechanism through which short video marketing influences user purchasing behavior. Semi-structured interviews were conducted with 17 TikTok users, identifying six stimulating variables: interactivity, entertainment, audiovisual presentation, promotional activities, celebrity, and product features. Based on the stimulus–organism–response (SOR) model, the impact of TikTok short video marketing on user purchasing behavior was examined, with flow experience and perceived usefulness as mediating variables. Data from 514 TikTok users were collected for testing. The results show that entertainment, celebrity, and product features positively affect the flow experience. Promotion and celebrity have a positive effect on attitude. Flow experience and attitude positively affect users' purchase behavior. Furthermore, flow experience and attitude play an intermediary role between external stimuli and users' purchase behavior.

The asymmetry of quality information in e-commerce of agricultural products has hindered its development, and it is urgent to find new quality signals. Compared with subjective online reviews, “repurchase” is more objective. This paper explores the effectiveness of “repurchase” as a quality signal, capable of genuinely conveying quality information in agricultural product e-commerce. By constructing a two-stage signal game model, the effects of repurchase on subsequent consumer purchasing behavior and market equilibrium of agricultural products are analyzed. Through the research, we not only get the optimal pricing of high and low quality agricultural products under the two market equilibrium states of “pooling–pooling” and “pooling–separating”, but also get the conditions of realizing “pooling–separating” equilibrium through the comparison of profits. The conclusion of this study provides a theoretical basis for e-commerce agricultural products sellers to send reliable signals through scientific pricing decisions and e-commerce platforms to mark consumers’ repurchase behavior.

While previous research has made considerable efforts to investigate the factors influencing fundraising outcomes, the predominant focus has been on project-related characteristics, with less attention given to how these factors vary in different levels of market competition. This study aims to explore how market competition level moderates the relationship between project-related characteristics and crowdfunding success. We utilized a dataset of 330,995 projects collected from Kickstarter and developed a logistic regression model by introducing the Herfindahl–Hirschman index to measure market competition level as a moderating variable. The findings reveal that factors such as funding goal, duration, and the number of backers have significant impacts on crowdfunding success, which are positively moderated by the market competition level. This study contributes to the existing literature on online crowdfunding by shedding light on the moderating role of market competition. It offers valuable insights for platform managers and project creators, enriching their understanding of how project characteristics interact with market competition to influence crowdfunding success.

With the popularization of smartphones, various types of mobile applications (apps) have been integrated into every aspect of people’s lives. Recently, the insertion of advertising slogans into app icons has become a new promotional method. Accordingly, this research examines the influence of advertising slogan typefaces in app icons on the downloads of consumers with different regulatory focuses. Specifically, the results of two studies demonstrate that consumers with a greater promotion (prevention) focus have a stronger download intention toward apps with handwritten (machine-written) typefaces in advertising slogans in their app icons. Moreover, this effect is mediated by consumers’ risk perceptions regarding app services or functions, and the effect of time pressure as a boundary condition is emphasized. Our findings thus not only contribute to the literature concerning symbolic association, typeface inference, and regulatory focus but also highlight the risk of using handwritten typefaces and provide operational methods that can be applied to increase download intentions.

Current gaming literature lacks empirical evidence on the influence of game design elements and the process through which game engagement can transition into addictive behaviors. Drawing upon the dual theory of passion, this research explores how game design mechanics shape the dualistic experience of passion (i.e., harmonious versus obsessive passion) in mobile gaming consumption. Our netnographic study involved a 2-year participatory observation of an online mobile game community named Empires and Puzzles, culminating in 10,927 posts and nine relevant forum topics. Seven interviews with game developers were also conducted. Our findings reveal that specific mobile game mechanics, namely farming, loot boxing, and raiding, influence the transition from harmonious passion (HP) to obsessive passion (OP) through a pathway characterized by pre-occupying, whilst the recovery mechanism that facilitates the transition from OP back to HP include alleviating. Such findings foreground the theoretical importance of moving beyond a static perspective of gaming engagement. This study contributes to information system literature by developing an empirically grounded framework for understanding the mechanisms underlying the influence of game design on the dualistic nature of mobile gaming passion. Persistent public criticism and government skepticism can impede game businesses. Our insights have the potential to generate positive social impacts by promoting responsible game design to alleviate resistance and skepticism.

This study presents a hybrid review of Non-Fungible Tokens (NFTs) utilizing a hybrid approach based on bibliometric and content analyses. Employing the Scopus database, we conducted a bibliometric analysis of 210 articles. Additionally, a thorough content analysis of the 43 most influential papers, filtered based on their publication in highly-ranked journals, is included to highlight key research themes and sub-themes. Most of the surveyed papers were qualitative and offered conceptual frameworks for NFT-based solutions to validate NFTs’ applicability and propagation of NFTs in various fields. The content analysis identifies six key streams: the common characteristics of NFTs, their expansion into creative industries, applications in both physical and digital realms, NFT-related hype on social media platforms, environmental impacts, market biases, legal and privacy issues, NFTs pricing strategies, diversification potential and connectedness, and the evolving role of NFTs in virtual and augmented reality landscapes. This study holds significant implications for managers, portfolio managers, investors, policymakers, and regulators.

This study aimed to examine the impact of Scope 3 carbon emissions on market performance and the moderating effect of financial technology (fintech) on this particular relationship. Empirical data on Scope 3 carbon emissions from 2010 to 2022, which covered both fintech and traditional (non-fintech) financial firms, were collected from Bloomberg. All data were subjected to ordinary least squares (OLS) regression. Generalised method of moments (GMM) was performed to deal with potential endogeneity issues. The significant negative relationship between Scope 3 carbon emissions and market performance in this study implied investors’ concerns about the environmental impacts. With the noticeably lower carbon emissions, indicating the adoption of an eco-friendly orientation, fintech financial firms demonstrated positive relationship between their market performance and Scope 3 carbon emissions. Meanwhile, the results revealed otherwise for non-fintech financial firms. It is recommended for future research to consider the qualitative approach, such as structured or semi-structured interviews, to further validate the quantitative results of the current study. This study demonstrated the significant role of fintech financial firms in environmental stewardship, specifically with their markedly lower Scope 3 carbon emissions. Their approaches and practices can benefit ESG implementors in designing and implementing more effective and responsible operational models. Despite the current global challenges, particularly after the COVID-19 pandemic and the growing environmental awareness and concerns, this study commended the sustainable approaches of fintech financial firms, which served as a benchmark for ESG initiatives. This can potentially boost their ESG ratings and market standing. To date, the relationship between Scope 3 carbon emissions and market performance and the moderating role of fintech on this relationship have remained underexplored, which were addressed in the current study.

Due to the economic changes in recent decades, the purchasing behaviour of consumers has significantly shifted. Buyers are no longer just seeking a place to shop but also experiences to live through. This study aims to conduct an in-depth analysis of the differences in behaviour and shopping experiences in online versus offline environments, specifically within malls. To achieve this, a quantitative marketing research was conducted, collecting data from a sample of 1030 respondents. The study results indicate that respondents perceive both online and offline commerce to evolve concurrently. These commerce modes will be strongly influenced by various factors, including technological advancements, which are considered to impact both forms of commerce. Among the study’s conclusions, there is the confirmation of behavioural differences between online and mall shopping. The outcomes can be beneficial for improving the activities of retailers by offering new shopping experiences and developing new communication methods with customers.