Journal Description
Journal of Theoretical and Applied Electronic Commerce Research
Journal of Theoretical and Applied Electronic Commerce Research
published since 2006, is an international, peer-reviewed, scientific journal owned by the Faculty of Engineering of the Universidad de Talca, and MDPI provides publishing services for the journal since Volume 16, Issue 3 (2021).
- Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
- High Visibility: indexed within Scopus, SSCI (Web of Science), dblp, and other databases.
- Journal Rank: JCR - Q1 (Business) / CiteScore - Q1 (General Business, Management and Accounting )
- Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 32 days after submission; acceptance to publication is undertaken in 4.5 days (median values for papers published in this journal in the first half of 2024).
- Recognition of Reviewers: APC discount vouchers, optional signed peer review, and reviewer names published annually in the journal.
Impact Factor:
5.1 (2023);
5-Year Impact Factor:
5.1 (2023)
Latest Articles
Analyzing the Dynamics of Customer Behavior: A New Perspective on Personalized Marketing through Counterfactual Analysis
J. Theor. Appl. Electron. Commer. Res. 2024, 19(3), 1660-1681; https://doi.org/10.3390/jtaer19030081 - 27 Jun 2024
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The existing body of research on dynamic customer segmentation has primarily focused on segment-level customer purchasing behavior (CPB) analysis to tailor marketing strategies for distinct customer groups. However, these approaches often lack the granularity required for personalized marketing at the individual level. Moreover,
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The existing body of research on dynamic customer segmentation has primarily focused on segment-level customer purchasing behavior (CPB) analysis to tailor marketing strategies for distinct customer groups. However, these approaches often lack the granularity required for personalized marketing at the individual level. Moreover, the analysis of customer transitions between different groups has largely been overlooked. This study addresses these gaps by develo** an efficient framework that enables businesses to forecast customer behavior, assess the impact of various strategies on each customer separately, and analyze customer transition between segments. This can facilitate providing personalized marketing strategies, fostering a gradual transition toward a desired customer status, and enhancing the overall marketing precision. In this study, we employ time series feature vectors encompassing recency, frequency, monetary value, and lifespan, applying the K-means algorithm with a range of distance metrics for customer segmentation along with classification algorithms to predict customer behavior. Leveraging counterfactual analysis, we establish a solution for analyzing customer transitions between groups and evaluating personalized marketing strategies. Our findings underscore the superior performance of the Euclidean distance metric, closely followed by the Manhattan distance, in distinguishing the patterns in time series customer behavior, with logistic regression excelling in predicting customer status. This study enables decision-makers to forecast the impact of diverse marketing strategies on customer behavior which facilitates customer retention and engagement through well-informed decisions.
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Open AccessArticle
Is Smarter Better? A Moral Judgment Perspective on Consumer Attitudes about Different Types of AI Services
by
Qingji Fan, Yan Dai and Xue Wen
J. Theor. Appl. Electron. Commer. Res. 2024, 19(3), 1637-1659; https://doi.org/10.3390/jtaer19030080 - 27 Jun 2024
Abstract
AI is considered a key driver of industrial transformation and a strategic technology that will shape future development. With AI services continuing to permeate various sectors, concerns have emerged about the ethics of AI. This study investigates the effects of different types of
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AI is considered a key driver of industrial transformation and a strategic technology that will shape future development. With AI services continuing to permeate various sectors, concerns have emerged about the ethics of AI. This study investigates the effects of different types of AI services (mechanical, thinking, and affective AI services) on consumers’ attitudes through offline and online AI service experiments. We also construct a model to explore the mediating roles of identity threat and perceived control. The findings reveal that mechanical AI services negatively affect consumers’ attitudes while thinking and affective AI services have a positive effect. Additionally, we explore how consumers’ attitudes vary across different service scenarios and ethical judgments (utilitarianism and deontology). Our findings could offer practical guidance for enterprises providing AI services.
Full article
(This article belongs to the Topic Consumer Psychology and Business Applications)
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Open AccessArticle
Blockchain and Supply-Chain Financing: An Evolutionary Game Approach with Guarantee Considerations
by
Jizhou Zhan, Gewei Zhang, Heap-Yih Chong and **angfeng Chen
J. Theor. Appl. Electron. Commer. Res. 2024, 19(2), 1616-1636; https://doi.org/10.3390/jtaer19020079 - 19 Jun 2024
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Blockchain technology enables innovative financing models in supply-chain finance. This research constructs a tripartite evolutionary game model that includes core enterprises as employers, small- and medium-sized enterprises (SMEs) as contractors, and banks as financial institutions, where they have been simulated for their impact
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Blockchain technology enables innovative financing models in supply-chain finance. This research constructs a tripartite evolutionary game model that includes core enterprises as employers, small- and medium-sized enterprises (SMEs) as contractors, and banks as financial institutions, where they have been simulated for their impact on blockchain technology, especially on the strategic choices of supply-chain financing behavior and the system’s evolutionary path under core enterprises’ guarantee mechanism. The findings show the application of blockchain technology can effectively reduce the regulatory and review costs for financial institutions, thereby enhancing the efficiency of supply-chain financing. Particularly, blockchain technology provides a more reliable credit endorsement platform for SMEs in reducing their tendency to default. The guarantee mechanism of core enterprises is more effective with the support of blockchain technology, which helps to build more solid supply-chain financial cooperation relationships. The research contributes to the theoretical research on the integration of blockchain technology into supply-chain finance, especially for improving the operational efficiency of financial services. It also highlights the need for blockchain-backed guarantees from core enterprises in optimizing supply-chain financial services.
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Open AccessArticle
Technology and Innovation: Analyzing the Heterogeneity of the Hotel Guests’ Behavior
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Mariia Bordian, María Fuentes-Blasco, Irene Gil-Saura and Beatriz Moliner-Velázquez
J. Theor. Appl. Electron. Commer. Res. 2024, 19(2), 1599-1615; https://doi.org/10.3390/jtaer19020078 - 17 Jun 2024
Abstract
The study intends to identify and analyze different consumer segments. For this purpose, we examine why customers turn to electronic word-of-mouth (eWOM) before making a purchase and how they perceive a hotel’s information and communication technology (ICT) and relational innovation after making a
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The study intends to identify and analyze different consumer segments. For this purpose, we examine why customers turn to electronic word-of-mouth (eWOM) before making a purchase and how they perceive a hotel’s information and communication technology (ICT) and relational innovation after making a purchase. The objective was empirically tested with data from a panel of consumers who stayed at hotels during the post-pandemic recovery period in Spain. In total, 393 valid questionnaires were obtained. The estimation of a finite mix model was applied to identify guest profiles. Estimation identified three guest profiles where the perceptions of the hotel’s relational innovation and ICT present a high discriminant power in the first two segments. Moreover, compared to the second segment, the first group is characterized by the low impact level of these variables. On the other hand, the motivation to consult eWOM in the prebooking stage significantly influences all three groups; however, the guests of the third segment present less motivation than the rest. Hotel managers may consider ICT, relational innovation, and eWOM factors when segmenting consumers. Understanding this would enhance the company’s service delivery and the hotel’s competitiveness. The contribution of this study lies in considering ICT, relational innovation, and eWOM as novel factors that help identify different guest profiles.
Full article
(This article belongs to the Collection Customer Relationships in Electronic Commerce)
Open AccessArticle
Impact of AI-Oriented Live-Streaming E-Commerce Service Failures on Consumer Disengagement—Empirical Evidence from China
by
Yuhong Peng, Yedi Wang, **gpeng Li and Qiang Yang
J. Theor. Appl. Electron. Commer. Res. 2024, 19(2), 1580-1598; https://doi.org/10.3390/jtaer19020077 - 17 Jun 2024
Abstract
Despite the popularity of AI-oriented e-commerce live-streaming, the service failures that can result from real-time interaction and instant transactions have not been taken seriously. This study aims to assess the failure of AI-oriented live-streaming e-commerce services and help retailers identify various risks. Based
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Despite the popularity of AI-oriented e-commerce live-streaming, the service failures that can result from real-time interaction and instant transactions have not been taken seriously. This study aims to assess the failure of AI-oriented live-streaming e-commerce services and help retailers identify various risks. Based on expectancy disconfirmation theory and a stressor–strain–outcome framework, this study identified a comprehensive framework including information, functional, system, interaction, and aesthetic failures. The structural equation modeling (SEM) method is used to further examine its effect on consumers’ discontinuance behavior. Further research reveals the mediating role of consumer disappointment and emotional exhaustion, as well as the moderating role of the live-streaming platform type. These results shed light on the negative influence of AI-oriented live-streaming e-commerce service failures and contribute to the literature on live-streaming commerce, service failure, and virtual streamers.
Full article
(This article belongs to the Topic Consumer Psychology and Business Applications)
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Open AccessReview
E-Commerce in Brazil: An In-Depth Analysis of Digital Growth and Strategic Approaches for Online Retail
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Claudimar Pereira da Veiga, Cássia Rita Pereira da Veiga, Júlia de Souza Silva Michel, Leandro Ferreira Di Iorio and Zhaohui Su
J. Theor. Appl. Electron. Commer. Res. 2024, 19(2), 1559-1579; https://doi.org/10.3390/jtaer19020076 - 15 Jun 2024
Abstract
This article delves into Brazil’s rapidly expanding e-commerce sector, emphasizing its significant growth and evolving dynamics. Employing a meta-narrative review and a convergence-coding matrix, this research systematically analyzes and integrates findings from the existing literature to reveal critical industry patterns. The analysis identifies
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This article delves into Brazil’s rapidly expanding e-commerce sector, emphasizing its significant growth and evolving dynamics. Employing a meta-narrative review and a convergence-coding matrix, this research systematically analyzes and integrates findings from the existing literature to reveal critical industry patterns. The analysis identifies four pivotal clusters: consumer behavior, e-commerce structure, product distribution, and environmental sustainability. These elements collectively offer a comprehensive view of Brazil’s present and future e-commerce directions. This study underscores the imperative for strategies responsive to changing consumer behaviors, technological advancements, and environmental concerns. It also furnishes practical insights for enhancing online retail consumer engagement, logistical efficiency, and sustainability. Furthermore, this research advocates for e-commerce as a vehicle for digital inclusion, calling for policies that promote equitable access to online markets. This underscores its broader socio-economic importance, suggesting a path forward for stakeholders in sha** a more inclusive and sustainable e-commerce ecosystem.
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(This article belongs to the Section e-Commerce Analytics)
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Open AccessArticle
Leveraging Stacking Framework for Fake Review Detection in the Hospitality Sector
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Syed Abdullah Ashraf, Aariz Faizan Javed, Sreevatsa Bellary, Pradip Kumar Bala and Prabin Kumar Panigrahi
J. Theor. Appl. Electron. Commer. Res. 2024, 19(2), 1517-1558; https://doi.org/10.3390/jtaer19020075 - 15 Jun 2024
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Driven by motives of profit and competition, fake reviews are increasingly used to manipulate product ratings. This trend has caught the attention of academic researchers and international regulatory bodies. Current methods for spotting fake reviews suffer from scalability and interpretability issues. This study
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Driven by motives of profit and competition, fake reviews are increasingly used to manipulate product ratings. This trend has caught the attention of academic researchers and international regulatory bodies. Current methods for spotting fake reviews suffer from scalability and interpretability issues. This study focuses on identifying suspected fake reviews in the hospitality sector using a review aggregator platform. By combining features and leveraging various classifiers through a stacking architecture, we improve training outcomes. User-centric traits emerge as crucial in spotting fake reviews. Incorporating SHAP (Shapley Additive Explanations) enhances model interpretability. Our model consistently outperforms existing methods across diverse dataset sizes, proving its adaptable, explainable, and scalable nature. These findings hold implications for review platforms, decision-makers, and users, promoting transparency and reliability in reviews and decisions.
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Open AccessArticle
Optimizing Sentiment Analysis Models for Customer Support: Methodology and Case Study in the Portuguese Retail Sector
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Catarina Almeida, Cecilia Castro, Víctor Leiva, Ana Cristina Braga and Ana Freitas
J. Theor. Appl. Electron. Commer. Res. 2024, 19(2), 1493-1516; https://doi.org/10.3390/jtaer19020074 - 10 Jun 2024
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Sentiment analysis is a cornerstone of natural language processing. However, it presents formidable challenges due to the intricacies of lexical diversity, complex linguistic structures, and the subtleties of context dependence. This study introduces a bespoke and integrated approach to analyzing customer sentiment, with
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Sentiment analysis is a cornerstone of natural language processing. However, it presents formidable challenges due to the intricacies of lexical diversity, complex linguistic structures, and the subtleties of context dependence. This study introduces a bespoke and integrated approach to analyzing customer sentiment, with a particular emphasis on a case study in the Portuguese retail market. Capitalizing on the strengths of SentiLex-PT, a sentiment lexicon curated for the Portuguese language, and an array of sophisticated machine learning algorithms, this research constructs advanced models that encapsulate both lexical features and the subtleties of linguistic composition. A meticulous comparative analysis singles out multinomial logistic regression as the pre-eminent model for its applicability and accuracy within our case study. The findings of this analysis highlight the pivotal role that sentiment data play in strategic decision-making processes such as reputation management, strategic planning, and forecasting market trends within the retail sector. To the extent of our knowledge, this work is pioneering in its provision of a holistic sentiment analysis framework tailored to the Portuguese retail context, marking an advancement for both the academic field and industry application.
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Open AccessArticle
Usefulness of Online Reviews of Sensory Experiences: Pre- vs. Post-Pandemic
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Jong Min Kim, Keeyeon Ki-cheon Park and Rob Kim Marjerison
J. Theor. Appl. Electron. Commer. Res. 2024, 19(2), 1471-1492; https://doi.org/10.3390/jtaer19020073 - 8 Jun 2024
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As a result of globalization and other factors, periodic shocks to economic activity have become more frequent in recent years. How these periods of economic uncertainty affect different business sectors and industries has become an important emerging area of research activity. Sensory experiences
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As a result of globalization and other factors, periodic shocks to economic activity have become more frequent in recent years. How these periods of economic uncertainty affect different business sectors and industries has become an important emerging area of research activity. Sensory experiences are increasingly recognized as an important aspect of the customer experience. Likewise, online reviews and the usefulness rating given by review consumers are important factors in the consumers’ purchasing decision-making process. How these factors are affected by periods of crisis is an underexplored area of research that this study addresses through the exploration and comparison of the perceived helpfulness of sensory experience online reviews, specifically in the hotel industry, before and since the COVID-19 pandemic. Primary data were harvested from the Booking.com website before and during the pandemic; 143,739 online reviews were analyzed using a keyword search based on six dimensions of hotel services to identify those reviews with sensory experience content. The analysis applied Herzberg’s two-factor theory, where each service attribute was examined as both positive (satisfier) and negative (dissatisfier). Empirical analytical methods were applied to produce compelling findings. The findings indicate that the reviews of multisensory experiences affect the perceived value of a post both negatively and positively, respectively, and that the pandemic did not affect the relationship between reviews and the perceived helpfulness of the reviews. This study has both theoretical and practical implications for researchers and practitioners by applying and building on Herzberg’s two-factor theory of online reviews in the hospitality sector during a period of crisis, as well as addressing a gap in the existing literature on how the pandemic affected the relationships between the online reviews of sensory experiences and their perceived usefulness. Practitioners may find the results useful in how they allocate their resources and focus during such periods to optimize their competitiveness.
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Open AccessArticle
The Influence of the Big Five Personality Traits and Propensity to Trust on Online Review Behaviors: The Moderating Role of Gender
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Nima Kordzadeh and Karoly Bozan
J. Theor. Appl. Electron. Commer. Res. 2024, 19(2), 1442-1470; https://doi.org/10.3390/jtaer19020072 - 4 Jun 2024
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This study investigates the impacts of the Big Five personality traits and propensity to trust on the use and writing of online reviews. Additionally, this study examines how gender moderates these impacts. Results of a survey (n = 840) show that openness to
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This study investigates the impacts of the Big Five personality traits and propensity to trust on the use and writing of online reviews. Additionally, this study examines how gender moderates these impacts. Results of a survey (n = 840) show that openness to experience and conscientiousness positively influence online review use, while openness to experience and extraversion positively influence online review writing. Moreover, gender moderates the impacts of extraversion, openness to experience, and agreeableness on online review writing, with no moderating effect observed for online review use. Our findings contribute to the electronic word-of-mouth (eWOM) literature and offer important practical insights for eWOM platforms.
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Open AccessArticle
Driving Success: Unveiling the Synergy of E-Marketing, Sustainability, and Technology Orientation in Online SME
by
Mirela Cătălina Türkeș
J. Theor. Appl. Electron. Commer. Res. 2024, 19(2), 1411-1441; https://doi.org/10.3390/jtaer19020071 - 4 Jun 2024
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In Romania, the pandemic and post-pandemic effects, coupled with the nearly 80% increase in internet service penetration, have led to an extraordinary acceleration of e-commerce activity. Rising rents and operational costs, heightened financial challenges, and the improved quality and accessibility of internet connectivity
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In Romania, the pandemic and post-pandemic effects, coupled with the nearly 80% increase in internet service penetration, have led to an extraordinary acceleration of e-commerce activity. Rising rents and operational costs, heightened financial challenges, and the improved quality and accessibility of internet connectivity have prompted some Romanian SMEs to sell their products and services online or through other online communication networks. In this context, it becomes essential to conduct marketing research to identify factors that could stimulate business performance. The purpose of this study is to assess the impact of e-marketing orientation, sustainability orientation, and technology orientation on the performance of online SMEs in Romania. Hypothesis testing and validation of the proposed construct model were conducted using structural equation modeling with partial least squares (SEM-PLS) and multi-group analysis (PLS-MGA). The research results have indicated that all three independent variables have positive and significant effects on online SMEs’ business performance. Finally, the study suggests that SME managers should focus on integrating these three variables and on selling products and services both nationally and internationally through the internet if they aim for long-term business performance growth.
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Open AccessArticle
Examining the Retail Delivery Choice Behavior in a Technology-Aware Market
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Jocelyn Tapia, Paula Fariña, Ignacio Urbina and Diego Dujovne
J. Theor. Appl. Electron. Commer. Res. 2024, 19(2), 1392-1410; https://doi.org/10.3390/jtaer19020070 - 4 Jun 2024
Abstract
This study aims to provide valuable insights into consumer preferences for delivery services in online shop** in Chile. The COVID-19 pandemic has accelerated the evolution of delivery and logistics services, leading to increased competition among online stores. Chile, with its highly digitally enabled
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This study aims to provide valuable insights into consumer preferences for delivery services in online shop** in Chile. The COVID-19 pandemic has accelerated the evolution of delivery and logistics services, leading to increased competition among online stores. Chile, with its highly digitally enabled population and a competitive landscape of online retailers, serves as an ideal reference case for Latin America. By analyzing key delivery attributes such as delivery time, order arrival time range, compensation policies for delivery delays, and delivery prices, we offer valuable insights into consumer behavior. These insights will, in turn, inform the formulation of effective strategies within the online shop** industry. We examine the following aspects: (a) The willingness of consumers to pay for the service attributes; (b) The relative importance assigned to these attributes by consumers; and (c) The relationship between consumer preferences and socioeconomic characteristics. Using Multinomial Logit Models and a database from a Discrete Choice Experiment, we have discovered that the most significant attributes of delivery service are the time until product arrival and the existence of compensation in case of delivery delays. Additionally, we found that consumers are willing to pay more for the same delivery service if the product is large, as large products generally have higher prices. Furthermore, we observed that delivery time preferences vary by gender and for small products, and price sensitivity varies according to educational level, household size, and socioeconomic status. To the best of our knowledge, no previous research of this kind has been conducted for Chile.
Full article
(This article belongs to the Section Digital Marketing and the Connected Consumer)
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Open AccessArticle
Digital Virtual Simulation for Cultural Clothing Restoration: Case Study of Tang Dynasty Mural ‘Diplomatic Envoys’ from Crown Prince Zhang Huai’s Tomb
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Chunxiao Liu, RongRong Cui and Zhicheng Wang
J. Theor. Appl. Electron. Commer. Res. 2024, 19(2), 1358-1391; https://doi.org/10.3390/jtaer19020069 - 3 Jun 2024
Abstract
The advent of 3D virtual presentation technology for clothing has led to the gradual popularisation of digital virtual clothing in the modern fashion industry. However, there remains a gap between the application of this technology and the integration of cultural attributes in the
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The advent of 3D virtual presentation technology for clothing has led to the gradual popularisation of digital virtual clothing in the modern fashion industry. However, there remains a gap between the application of this technology and the integration of cultural attributes in the field of digital communication of traditional cultural clothing. Consequently, the objective of this paper is to propose the establishment of a fusion system integrating archaeological research on traditional culture with emerging virtual presentation technology. This paper draws inspiration from the replicability and easy dissemination of digital products to combine cultural archaeology and digital technology. The aim is to provide ideas for the diversity of dissemination of cultural heritage. The research object is Diplomatic Envoys, a Chinese mural painting of the Tang Dynasty that depicts friendly exchanges between countries. The research is divided into two research stages. A CLO3D software-based digital restoration test was conducted to reproduce the costumes of officials and foreign envoys depicted in the Tang Dynasty mural. The FAHP model was employed to verify the accuracy of the restoration results. The experiment demonstrated that the digitally reconstructed clothing exhibited a high degree of similarity to the unearthed mural figure clothing object. Furthermore, the restoration result passed the credibility verification, resulting in a ‘credible’ outcome. The application of digital virtual simulation clothing restoration methods offers two key advantages. Firstly, in comparison with traditional clothing restoration methods, digital restoration enables the rapid assessment of the resulting clothing effect, thereby reducing the likelihood of secondary damage to cultural relics due to manual errors. Secondly, the benefits of digital technology facilitate the convenient storage, replication, and dissemination of clothing data information. Data can not only be extended to online exhibition halls but also to game animation, clothing production, and other fields for the purposes of creative redesign and information dissemination. Furthermore, these benefits can penetrate the education industry to disseminate information to the public through all-round display models and explanations.
Full article
(This article belongs to the Collection Exploring the Future of Creative Economy: Transforming Creative Industries through Innovation, Technology and Enhanced Consumer Engagement)
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Open AccessArticle
Coordination of Online Shop** Supply Chain Considering Fresh Product Preservation Efforts and Cargo Damage Costs
by
Hai** Ren and Yingxin Hu
J. Theor. Appl. Electron. Commer. Res. 2024, 19(2), 1337-1357; https://doi.org/10.3390/jtaer19020068 - 31 May 2024
Abstract
To reduce the losses caused by insufficient preservation efforts during transportation, the preservation effort level has been the focus of research. In the fierce competition of online sales, it is particularly important to reduce the cost of damaged goods by improving the level
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To reduce the losses caused by insufficient preservation efforts during transportation, the preservation effort level has been the focus of research. In the fierce competition of online sales, it is particularly important to reduce the cost of damaged goods by improving the level of preservation efforts. Therefore, according to Stackelberg game theory, this article establishes five decision-making models and incorporates the damage rate and preservation effort level into the research. Finally, this article coordinates the online ship** supply chain (SC) through a joint contract. After comparing and analyzing the model results, research has found that: (1) in centralized model, the level of preservation effort reaches its optimal level and the system benefit is maximized; (2) under third-party logistics (TPL) leading decision-making, the different bearers of cargo damage costs will not affect the profits of both parties and the system; (3) among the four decentralized models, the level of preservation efforts and system profit are highest when the decision is led by online store and TPL bears the cost of damaged goods; and (4) under a given sharing ratio, when the logistics service quotation satisfies a certain range of condition, the online shop** SC can achieve Pareto improvement. This paper studies the differences and reasons for decision models in the supply and demand relationship between online stores and TPL, which provides fresh product e-commerce decision-makers with a theoretical basis.
Full article
(This article belongs to the Collection Advances in Supply Chain Management in the Era of Electronic Commerce)
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Open AccessArticle
Information Collection and Personalized Service Strategy of Monopoly under Consumer Misrepresentation
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Mingyue Zhong, Yan Cheng, Shu-e Mei and Weijun Zhong
J. Theor. Appl. Electron. Commer. Res. 2024, 19(2), 1321-1336; https://doi.org/10.3390/jtaer19020067 - 31 May 2024
Abstract
To decrease privacy risks, consumers may choose to misrepresent themselves when they are asked to offer personal information. Using a game theoretic model, this study examines the impact of consumer misrepresentation on both a monopolistic firm and consumers. The results show that consumer
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To decrease privacy risks, consumers may choose to misrepresent themselves when they are asked to offer personal information. Using a game theoretic model, this study examines the impact of consumer misrepresentation on both a monopolistic firm and consumers. The results show that consumer misrepresentation may benefit the firm, but hurt consumers under certain conditions. In addition, we find that when the unit cost of personalized service is low, consumer misrepresentation may encourage the firm to provide a higher personalized service level. Moreover, when consumers misrepresent themselves and the firm only covers part of the market, a greater unit value of consumer private information will reduce the firm’s profit, while a greater unit cost of personalized service will increase the firm’s profit. The analysis reported here provides important insights regarding the application of consumer information in online personalized marketing and consumer privacy protection.
Full article
(This article belongs to the Topic Online User Behavior in the Context of Big Data)
Open AccessArticle
Risk Analysis of Bankruptcy in the U.S. Healthcare Industries Based on Financial Ratios: A Machine Learning Analysis
by
Hadi Gholampoor and Majid Asadi
J. Theor. Appl. Electron. Commer. Res. 2024, 19(2), 1303-1320; https://doi.org/10.3390/jtaer19020066 - 30 May 2024
Abstract
The prediction of bankruptcy risk poses a formidable challenge in the fields of economics and finance, particularly within the healthcare industry, where it carries significant economic implications. The burgeoning field of healthcare electronic commerce, continuously evolving through technological advancements and changing regulations, introduces
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The prediction of bankruptcy risk poses a formidable challenge in the fields of economics and finance, particularly within the healthcare industry, where it carries significant economic implications. The burgeoning field of healthcare electronic commerce, continuously evolving through technological advancements and changing regulations, introduces additional layers of complexity. We collected financial data from 1265 U.S. healthcare industries to predict bankruptcy based on 40 financial ratios using multi-class classification machine learning models across various industry subsectors and market capitalizations. The exceptionally high post-tuning accuracy rates, exceeding 90%, along with high-performance metrics solidified the robustness and exceptional predictive capability of the gradient boosting model in bankruptcy prediction. The results also demonstrate the power and sensitivity of financial ratios in predicting bankruptcy based on financial ratios. The Altman models highlight the return on investment (ROI) as the most important parameter for predicting bankruptcy risk in healthcare industries. The Ohlson model identifies return on assets (ROA) as an important ratio specifically for predicting bankruptcy risk within industry subsectors. Furthermore, it underscores the significance of both ROA and the enterprise value to earnings before interest and taxes (EV/EBIT) ratios as important parameters for predicting bankruptcy based on market capitalization. Recognizing these ratios enables proactive decision making that enhances resilience. Our findings contribute to informed risk management strategies, allowing for better management of healthcare industries in crises like those experienced in 2022 and even on a global scale.
Full article
(This article belongs to the Topic Artificial Intelligence Applications in Financial Technology)
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Open AccessArticle
Dynamic Incentive Mechanisms for Collaborative Innovation of Green Supply Chain Considering Digital Capability and Consumer Green Preference
by
Wen Cheng, Qunqi Wu, Qian Li, Fei Ye and Lingling Tan
J. Theor. Appl. Electron. Commer. Res. 2024, 19(2), 1267-1302; https://doi.org/10.3390/jtaer19020065 - 29 May 2024
Abstract
In light of increasingly prominent environmental issues, inspiring green supply chain (GSC) members to engage in collaborative innovation is crucial to improve environmental performance. In this paper, in relation to a two-level GSC consisting of manufacturers and suppliers, differential equations involving the greenness
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In light of increasingly prominent environmental issues, inspiring green supply chain (GSC) members to engage in collaborative innovation is crucial to improve environmental performance. In this paper, in relation to a two-level GSC consisting of manufacturers and suppliers, differential equations involving the greenness of intermediate and final products as state variables are constructed considering the effect of digital capability on green innovation. Subsequently, designs for three incentive mechanisms—the greenness reward, the R&D effort reward, and the digital construction reward—are presented, and their long-term dynamic effects on the economic, environmental, and social benefits are compared and analyzed. Finally, the impacts of consumer green preference and the contribution of digital capability to the advancement of green innovation are explored. The findings show that all these incentives can boost economic, environmental, and social benefits while motivating the supplier. To achieve the best incentive effect, the reward coefficient should fall within a specific range. The digital construction reward mechanism is the most favourable in the initial stage, while the R&D effort reward mechanism is the most appropriate in the long term. The promotion effects of digital capability on green innovation and consumer green preference have the potential to enhance economic, environmental, and social performance.
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(This article belongs to the Collection Exploring the Future of Creative Economy: Transforming Creative Industries through Innovation, Technology and Enhanced Consumer Engagement)
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Open AccessArticle
Online Review Helpfulness and Information Overload: The Roles of Text, Image, and Video Elements
by
Liang Wang, Gaofeng Che, Jiantuan Hu and Lin Chen
J. Theor. Appl. Electron. Commer. Res. 2024, 19(2), 1243-1266; https://doi.org/10.3390/jtaer19020064 - 29 May 2024
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Online reviews have become an important source of information for consumers, significantly influencing their purchasing decisions. However, the abundance and variety of review formats, especially the mix of text, image, and video elements, can lead to information overload and hinder effective decision-making. This
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Online reviews have become an important source of information for consumers, significantly influencing their purchasing decisions. However, the abundance and variety of review formats, especially the mix of text, image, and video elements, can lead to information overload and hinder effective decision-making. This study investigates how different review formats and their combinations affect the perceived helpfulness of reviews. We develop a comprehensive framework to analyze the interactions between text, image, and video elements and their impact on the helpfulness of reviews. We collect and code 8693 online reviews from **gDong Mall Mallacross six product categories, including both experience products and search products, and use multiple regression analysis to test our hypotheses. Our results show that textual review elements significantly increase review helpfulness. However, their effectiveness decreases as the amount of information increases, indicating cognitive overload. Text reviews are more prone to contribute to information overload, while visual elements such as images and videos generally do not contribute to information overload in the coexistence of text, image, and video reviews. Imagery components have a minimal effect on review helpfulness. Video elements are relatively short, which may not be sufficient to convey useful information. We also find that the impact of review formats varies between experience products and search products, and that star ratings moderate the alignment of textual or imagery components with consumer expectations. We conclude that the hybrid of text, image, and video elements in online reviews plays a crucial role in sha** consumer decision-making and information overload. Our research contributes to the literature on online reviews and information overload while providing practical implications for online retailers, review platforms, and consumers to optimize review formats, star ratings, and product types to facilitate informed purchase decisions.
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Open AccessArticle
Digital Wallet, Happy Heart: An Analysis Based on the Economic–Social–Environmental Perspective
by
** Zhang
J. Theor. Appl. Electron. Commer. Res. 2024, 19(2), 1222-1242; https://doi.org/10.3390/jtaer19020063 - 25 May 2024
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While the prior mobile payment−subjective well-being (SWB) literature has mainly discussed its economic and social impacts, the present study supplements this body of research by introducing an economic–social–environmental perspective. Using two waves of representative Chinese national surveys, the instrumental variable (IV) estimator suggests
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While the prior mobile payment−subjective well-being (SWB) literature has mainly discussed its economic and social impacts, the present study supplements this body of research by introducing an economic–social–environmental perspective. Using two waves of representative Chinese national surveys, the instrumental variable (IV) estimator suggests that mobile payment is positively and statistically significantly correlated with SWB. Furthermore, the results reveal that the positive correlation comes from the compound influence of economic, social, and environmental channels. Specifically, it shows that mobile payment not only affects people’s economic and social performance but also mitigates the adverse effects of poor environmental conditions on SWB. Additionally, a further disaggregated analysis shows that mobile payment exerts a stronger positive influence on SWB for people from underdeveloped areas within the economic–social–environmental framework. These findings shed light on the role of financial technology in facilitating sustainable development.
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Open AccessArticle
Can Self-Presentation on Social Media Increase Individuals’ Conspicuous Consumption Tendency? A Mixed-Method Empirical Study on WeChat in China
by
Yan Lu, Taiyang Zhao, Siying Song and Wei Song
J. Theor. Appl. Electron. Commer. Res. 2024, 19(2), 1206-1221; https://doi.org/10.3390/jtaer19020062 - 25 May 2024
Abstract
Previous studies have mainly focused on the impact of social media self-presentation on individuals’ happiness and mental health, whereas few have attended to its potential influence on consumer behavior. A mixed-method empirical study with an online survey (N = 408) and an
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Previous studies have mainly focused on the impact of social media self-presentation on individuals’ happiness and mental health, whereas few have attended to its potential influence on consumer behavior. A mixed-method empirical study with an online survey (N = 408) and an experimental study (N = 160) investigated the effects of social media self-presentation on individuals’ conspicuous consumption in China. We found that consumers’ self-presentation behavior on social media promoted tendencies for social comparison, thereby enhancing their conspicuous consumption. However, compared with individuals using social media less often, self-presentation had a more significant impact on the social comparison tendencies of users who used social media more often. Our study explains why individuals’ self-presentation on social media increases their conspicuous consumption tendencies. The study results contribute to the existing knowledge of how consumers’ behavior on social media affects their product preferences.
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(This article belongs to the Topic Consumer Psychology and Business Applications)
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