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Unlocking the Potential of Artificial Intelligence in Fashion Design and E-Commerce Applications: The Case of Midjourney Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2024-03-18 Yanbo Zhang, Chuanlan Liu
The fashion industry has shown increasing interest in applying artificial intelligence (AI), yet there is a significant gap in exploring the potential of emerging diffusion-modeling-based AI image-generation systems for fashion design and commerce. Therefore, this study aims to assess the effectiveness of Midjourney, one such AI system, in both fashion design and related commerce applications. We employed
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Influence of Electronic Word-Of-Mouth on Restaurant Choice Decisions: Does It Depend on Gender in the Millennial Generation? Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2024-03-14 Giovanny Haro-Sosa, Beatriz Moliner-Velázquez, Irene Gil-Saura, María Fuentes-Blasco
Given the exponential growth of eWOM, especially among the millennial generation, an analysis of the consultation behaviour of online opinions is essential to better understanding the decision-making process. The aim of this proposal is to analyse how the motivations towards eWOM consultation contribute to the final adoption of eWOM, especially in the restaurant context, exploring the relationship
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Fog Computing-Based Smart Consumer Recommender Systems Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2024-03-11 Jacob Hornik, Chezy Ofir, Matti Rachamim, Sergei Graguer
The latest effort in delivering computing resources as a service to managers and consumers represents a shift away from computing as a product that is purchased, to computing as a service that is delivered to users over the internet from large-scale data centers. However, with the advent of the cloud-based IoT and artificial intelligence (AI), which are advancing customer experience automations in
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How Personality Traits Affect Customer Empathy Expression of Social Media Ads and Purchasing Intention: A Psychological Perspective Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2024-03-07 Serhan Demirci, Chia-Ju Ling, Dai-Rong Lee, Chien-Wen Chen
Consumers’ personality traits significantly influence their perceptions regarding social media advertising. While prior research on consumers’ purchasing intentions in social networking sites advertising has mainly focused on advertising valence antecedents, it is crucial to recognize that consumers’ susceptibility to advertising persuasion, particularly in terms of empathic expression, varies based
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The Impact of Academic Publications over the Last Decade on Historical Bitcoin Prices Using Generative Models Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2024-03-06 Adela Bâra, Simona-Vasilica Oprea
Since 2012, researchers have explored various factors influencing Bitcoin prices. Up until the end of July 2023, more than 9100 research papers on cryptocurrencies were published and indexed in the Web of Science Clarivate platform. The objective of this paper is to analyze the impact of publications on Bitcoin prices. This study aims to uncover significant themes within these research articles, focusing
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Do Dynamic Signals Affect High-Quality Solvers’ Participation Behavior? Evidence from the Crowdsourcing Platform Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2024-03-06 Xue Liu, Xiaoling Hao
The emergence of the crowdsourcing platform enables seekers to obtain higher-quality services at lower costs. High-quality services are often provided by high-quality solvers, which is the key to the sustainable development of crowdsourcing platforms. Therefore, how to attract more high-quality solvers to participate needs to be focused on. Most previous studies that used stock data to measure crowdsourcing
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Who Are the Online Medication Shoppers? A Market Segmentation of the Swedish Welfare State Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2024-03-05 John Magnus Roos, Magnus Jansson, Pernilla J. Bjerkeli
The present study aimed to explore the online shopping of medicines from demographic, geographic, psychographic, and behavioral factors. A quantitative survey design was used with a quote sample representing the Swedish population regarding age, gender, and residential area. In total, 1863 persons responded to a survey, including measures of age, gender, income, education, area of residence, personality
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Emerging Trends in Play-to-Earn (P2E) Games Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2024-03-01 Andreea Raluca Duguleană, Cristina Roxana Tănăsescu, Mihai Duguleană
This research aims to establish the primary drivers influencing the development and consumers’ decision-making process in web3 games—decentralized games that function according to the play-to-earn paradigm. We observe several types of micro-economies developed within five play-to-earn games and highlight four roles consumers play at any given time. Our study offers a different perspective on rational
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Public Perception of Online P2P Lending Applications Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2024-03-01 Sahiba Khan, Ranjit Singh, H. Kent Baker, Gomtesh Jain
This study examines significant topics and customer sentiments conveyed in reviews of P2P lending applications (apps) in India by employing topic modeling and sentiment analysis. The apps considered are LenDenClub, Faircent, i2ifunding, India Money Mart, and Lendbox. Using Latent Dirichlet Allocation, we identified and labeled 11 topics: application, document, default, login, reject, service, CIBIL
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Authorized and Unauthorized Consumption of SVOD Content: Modeling Determinants of Demand and Measuring Effects of Enforcing Access Control Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2024-02-28 Ignacio Redondo, Diana Serrano
Consumers are attracted by the increasing number of available SVOD platforms, but it would be too expensive to pay the subscription fees for all of them. To reduce costs, consumers can combine the use of proprietary subscriptions, non-proprietary subscriptions, and illegal streaming sites. In turn, platforms could enforce access control, a decision that might produce the desired reduction in non-proprietary
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The Impact of Recommendation System on User Satisfaction: A Moderated Mediation Approach Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2024-02-27 Xinyue He, Qi Liu, Sunho Jung
A recommendation system serves as a key factor for improving e-commerce users’ satisfaction by providing them with more accurate and diverse suggestions. A significant body of research has examined the accuracy and diversity of a variety of recommendation systems. However, little is known about the psychological mechanisms through which the recommendation system influences the user satisfaction. Thus
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Investigating M-Payment Intention across Consumer Cohorts Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2024-02-19 Amonrat Thoumrungroje, Lokweetpun Suprawan
This study investigates the widespread adoption of mobile payments (m-payments) and their impact on different generations, particularly post-COVID-19. We fill a gap in research by suggesting a new way to understand this phenomenon through the lens of social cognitive theory. We employed a multi-stage sampling technique, including purposive, quota, and snowball sampling, to ensure comparable group sizes
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Consumption of Sustainable Denim Products: The Contribution of Blockchain Certified Eco-Labels Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2024-02-16 Xingqiu Lou, Yingjiao Xu
Consumers’ growing interest in the environmental and social impacts of products has increased demand for sustainable fashion items, particularly denim. Emerging technologies such as blockchain technology and labeling certifications have been developed to address sustainability issues by improving supply chain transparency and efficiency. This research investigates the trade-offs consumers make when
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Functional Framework for Multivariant E-Commerce User Interfaces Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2024-02-16 Adam Wasilewski
Modern e-businesses heavily rely on advanced data analytics for product recommendations. However, there are still untapped opportunities to enhance user interfaces. Currently, online stores offer a single-page version to all customers, overlooking individual characteristics. This paper aims to identify the essential components and present a framework for enabling multiple e-commerce user interfaces
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Delving into Human Factors through LSTM by Navigating Environmental Complexity Factors within Use Case Points for Digital Enterprises Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2024-02-14 Nevena Rankovic, Dragica Rankovic
Meeting customer requirements in software project management, even for large digital enterprises, proves challenging due to unpredictable human factors. It involves meticulous planning and environmental factor analysis, ultimately benefiting both companies and customers. This paper came as a natural extension of our previous work where we left ourselves curious about what impact environmental complexity
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The Roles of Sales Technologies for Salespeople: Techno Demands and Resources Model Perspective Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2024-02-13 Kangsun Shin, Seonggoo Ji, Ihsan Ullah Jan, Younghoon Kim
The purpose of this study is to examine the effects of a salesperson’s techno-demands and techno-resources created by new sales-related information technology on salespersons’ attitudinal and behavioral outcomes such as job burnout, job satisfaction, turnover intention, and sales performance. In order to test the proposed framework, data were collected from 305 salespeople in Korea. The results of
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Similarities and Disparities of e-Commerce in the European Union in the Post-Pandemic Period Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2024-02-08 Rodica Manuela Gogonea, Liviu Cătălin Moraru, Dumitru Alexandru Bodislav, Loredana Maria Păunescu, Carmen Florentina Vlăsceanu
The emergence of the COVID-19 pandemic has resulted in notable transformations of the commerce landscape, particularly in the realm of electronic commerce. This sector has experienced a precipitous advancement, characterized by substantial modifications of online business under-takings, encompassing both products and services. The aim of the current research was to explore the similarities and differences
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A Game-Theoretic Analysis of the Adoption of Patient-Generated Health Data Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2024-02-08 M. Tolga Akçura, Zafer D. Ozdemir, Hakan Tarakci
Patient-generated health data (PGHD) have great potential to improve clinical outcomes. As providers consider whether and how to incorporate PGHD into their clinical workflows, platforms by Apple and Amazon stand to fundamentally alter the landscape. With the aim to examine the conditions under which providers would adopt PGHD and possibly sign on with a platform, we analyzed the incentives and optimal
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Financial Anti-Fraud Based on Dual-Channel Graph Attention Network Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2024-02-02 Sizheng Wei, Suan Lee
This article addresses the pervasive issue of fraud in financial transactions by introducing the Graph Attention Network (GAN) into graph neural networks. The article integrates Node Attention Networks and Semantic Attention Networks to construct a Dual-Head Attention Network module, enabling a comprehensive analysis of complex relationships in user transaction data. This approach adeptly handles non-linear
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A Two-Stage Nonlinear User Satisfaction Decision Model Based on Online Review Mining: Considering Non-Compensatory and Compensatory Stages Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2024-02-01 Shugang Li, Boyi Zhu, Yuqi Zhang, Fang Liu, Zhaoxu Yu
Mining user satisfaction decision stages from online reviews is helpful for understanding user preferences and conducting user-centered product improvements. Therefore, this study develops a two-stage nonlinear user satisfaction decision model (USDM). First, we use word2vec technology and lexicon-based sentiment analysis to mine the sentiment polarity of each product attribute in the reviews. Then
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Demystifying the Combined Effect of Consistency and Seamlessness on the Omnichannel Customer Experience: A Polynomial Regression Analysis Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2024-01-29 Wei Gao, Ning Jiang
Although channel consistency and seamlessness have been regarded as two critical factors in conducting omnichannel business, their combined effect has yet to be revealed. By employing a polynomial regression, this study disentangles the combined effect of channel consistency and seamlessness on customer experience in the omnichannel context. The results indicate that enhancing channel consistency and
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Value Co-Creation on TV Talent Shows: Cases from Mainland China, Taiwan and Hong Kong Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2024-01-31 Wai-Kit Ng, Cheng-Ming Yang, Chun-Liang Chen
Through the actions and interactions of video platform users, talent shows have expanded from the entertainment sphere to the social sphere and become an everyday part of life. Watching talent shows on online platforms, especially through participation in multi-platform interaction, is an ever developing and innovative field in many regions. This study adopts a multiple case analysis approach. We analyze
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The Future of Electronic Commerce in the IoT Environment Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2024-01-24 Antonina Lazić, Saša Milić, Dragan Vukmirović
The Internet of Things (IoT) was born from the fusion of virtual and physical space and became the initiator of many scientific fields. Economic sustainability is the key to further development and progress. To keep up with the changes, it is necessary to adapt economic models and concepts to meet the requirements of future smart environments. Today, the need for electronic commerce (e-commerce) has
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Evolution of Men’s Image in Fashion Advertising: Breaking Stereotypes and Embracing Diversity Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2024-01-24 María Jesús Carrasco-Santos, Carmen Cristófol-Rodríguez, Ismael Begdouri-Rodríguez
This research study explores the representation of men in fashion advertising and investigates whether societal and fashion evolution has contributed to a departure from traditional stereotypes. The research methodology comprised three phases: content analysis, surveys, and in-depth interviews with an expert panel, examining how men’s clothing has been communicated in fashion over a span of 50 years
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Have Your Cake and Eat It? Price Discount Programs under the Membership Free Shipping Policy in Online Retailing Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2024-01-26 Zhipeng Tang, Guowei Hua, Tai Chiu Edwin Cheng, Xiaowei Li, Jingxin Dong
Online retailers offer free shipping services, such as threshold free shipping (TFS) and membership free shipping (MFS), to promote sales and provide a better shopping experience to consumers in online retailing. Although MFS attracts more member-consumers, it encourages consumers to place more small orders than TFS, which significantly increases the operational costs of the online retailer. To address
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A Consumer Behavior Analysis Framework toward Improving Market Performance Indicators: Saudi’s Retail Sector as a Case Study Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2024-01-17 Monerah Alawadh, Ahmed Barnawi
Studying customer behavior and anticipating future trends is a challenging task, as customer behavior is complex and constantly evolving. To effectively anticipate future trends, businesses need to analyze large amounts of data, use sophisticated analytical techniques, and stay up-to-date with the latest research and industry trends. In this paper, we propose a comprehensive framework to identify trends
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Enhancing the Prediction of Stock Market Movement Using Neutrosophic-Logic-Based Sentiment Analysis Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2024-01-12 Bassant A. Abdelfattah, Saad M. Darwish, Saleh M. Elkaffas
Social media platforms have allowed many people to publicly express and disseminate their opinions. A topic of considerable interest among researchers is the impact of social media on predicting the stock market. Positive or negative feedback about a company or service can potentially impact its stock price. Nevertheless, the prediction of stock market movement using sentiment analysis (SA) encounters
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It’s Not Always about Wide and Deep Models: Click-Through Rate Prediction with a Customer Behavior-Embedding Representation Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2024-01-12 Miguel Alves Gomes, Richard Meyes, Philipp Meisen, Tobias Meisen
Alongside natural language processing and computer vision, large learning models have found their way into e-commerce. Especially, for recommender systems and click-through rate prediction, these models have shown great predictive power. In this work, we aim to predict the probability that a customer will click on a given recommendation, given only its current session. Therefore, we propose a two-stage
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Strategic Third-Party Product Entry and Mode Choice under Self-Operating Channels and Marketplace Competition: A Game-Theoretical Analysis Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2024-01-05 Biao Xu, Jinting Huang, Xiaodan Zhang, Thomas Brashear Alejandro
To bolster their competitiveness and profitability, prominent e-commerce platforms have embraced dual retailing channels: self-operating channels and online marketplaces. However, a discernible trend is emerging wherein e-commerce platforms are expanding their marketplaces to encompass competitive third-party suppliers. Motivated by this trend, this study sought to examine the strategic integration
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Can the Conditional Rebate Strategy Work? Signaling Quality via Induced Online Reviews Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2023-12-29 Lu Xiao, Chen Qian, Chaojie Wang, Jun Wang
Online reviews are an important part of product information and have important effects on consumers’ purchasing decisions. Some sellers try to manipulate the market by inducing online reviews. In this study, a signal game model based on Bayesian conditional probability is constructed to analyze the preconditions, decision-making process, and effect on market demand and profit of this behavior. The
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Application of a Microeconomic Approach for Explanation of Citizen Participation in Open Government Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2023-12-29 María Verónica Alderete
The digital economy and the sharing economy have changed the role citizens may acquire in society. Citizens can perform at least two roles from the open government perspective: on the one hand, they can be passive users/demanders of information and, on the other hand, they can provide or produce the information in an active manner. The objective of this paper is to offer a theoretical model to explain
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Analysis of Green Innovation of the E-Tailer and Supplier with a Drop Shipping Option in E-Commerce Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2023-12-28 Yuepeng Cheng, Bo Li
As customer demand for green products increases in the digital economic era, this study analyses the green innovation of the e-tailer and supplier in drop shipping models. Moreover, drop shipping e-tailers and suppliers with a drop shipping option need to make choices regarding whether to provide green or normal products to the market. When a supplier with a drop shipping option produces green products
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Time-of-Day and Day-of-Week Effects on TV and OTT Media Choices: Evidence from South Korea Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2023-12-25 Yun-Woo Choi, Changjun Lee
The objective of this manuscript is to investigate the determinants influencing the selection of over-the-top (OTT) platforms as opposed to traditional television mediums—cable, Internet protocol television (IPTV), and satellite broadcasting—for the consumption of content such as television shows and films. Employing data extracted from the 2020 Media Panel comprising 423,851 observations garnered
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Are eBay’s Feedback Ratings Consistent with the Sentiments Embedded in Textual Comments? An Empirical Study Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2023-12-15 Xubo Zhang, Yanbin Tu, Ke Zhong
eBay’s feedback rating system is currently widely used. In this study, we examine if eBay’s feedback rating types (+, 0, −) are consistent with the sentiments reflected in the textual comments posted by buyers. Using the datasets collected from eBay, we test the hypotheses associated with the research questions at three levels: individual, group, and total. Overall, the types of feedback ratings are
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Comment on Gruntkowski, L.M.; Martinez, L.F. Online Grocery Shopping in Germany: Assessing the Impact of COVID-19. J. Theor. Appl. Electron. Commer. Res. 2022, 17, 984–1002 Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2023-12-13 Leo Van Hove
Gruntkowski and Martinez examined the impact of factors such as perceived risk and perceived usefulness on German consumers’ intention to purchase groceries online once the COVID-19 pandemic had subsided. They also compared consumer perceptions before and during the COVID-19 outbreak. This comment shows that Gruntkowski and Martinez’s research suffers from a number of problems, the most important of
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Altruism in eWOM: Propensity to Write Reviews on Hotel Experience Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2023-12-13 Miguel Llorens-Marin, Adolfo Hernandez, Maria Puelles-Gallo
This research tests the relationship between aspects of customer influenceability at the time of booking a hotel with the propensity to write a review in electronic word-of-mouth communication. A valid sample of 739 online questionnaires was obtained. An Exploratory Factor Analysis was conducted in order to reduce the dimensions of the two critical variables, and a measurement model was built. Then
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A Brief Survey of Machine Learning and Deep Learning Techniques for E-Commerce Research Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2023-12-04 Xue Zhang, Fusen Guo, Tao Chen, Lei Pan, Gleb Beliakov, Jianzhang Wu
The rapid growth of e-commerce has significantly increased the demand for advanced techniques to address specific tasks in the e-commerce field. In this paper, we present a brief survey of machine learning and deep learning techniques in the context of e-commerce, focusing on the years 2018–2023 in a Google Scholar search, with the aim of identifying state-of-the-art approaches, main topics, and potential
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COVID-19 and Supply Chain Disruption Management: A Behavioural Economics Perspective and Future Research Direction Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2023-11-29 Chase Smith, Hajar Fatorachian
The COVID-19 pandemic has been one of the most severe disruptions to normal life, impacting how businesses operate. The academic literature in the areas of supply chain and operations management has been trying to explain how this has affected decision-making in businesses. However, the existing literature has predominantly overlooked organisational culture and behavioural economic theories. This paper
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Enhancing Traceability in Wine Supply Chains through Blockchain: A Stackelberg Game-Theoretical Analysis Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2023-11-22 Yuxuan Kang, Xianliang Shi, Xiongping Yue, Weijian Zhang, Samuel Shuai Liu
Blockchain technology has been adopted to improve traceability and authenticity in wine supply chains (WSCs). However, whether through outsourcing or self-implementation of a blockchain-based wine traceability system (BTS), there are significant costs involved, as well as concerns regarding consumer privacy. Motivated by observations of real-world practice, we explore the value of blockchain in enhancing
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Analysis of Online Platforms’ Free Trial Strategies for Digital Content Subscription Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2023-11-20 Li Chen
Adopting subscription models has become a popular trend in e-commerce. Digital content platforms often use free trials to attract potential subscribers. However, rigorous research on platforms’ free trial strategies is lacking. Our paper aims to fill this gap using a horizontal duopoly framework. We investigate both the scenario of market symmetry and of market asymmetry. We study the benchmark case
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Investigation of Web-Based Eye-Tracking System Performance under Different Lighting Conditions for Neuromarketing Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2023-11-16 Doğuş Yüksel
The increasing popularity of neuromarketing has led to the emergence of various measurement methods, such as webcam-based eye-tracking technology. Webcam-based eye-tracking technology is noteworthy not only for its use in laboratories but also for its ability to be applied to participants online in their natural environments through a link. However, the complexity of e-commerce interfaces necessitates
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Individualization in Online Markets: A Generalized Model of Price Discrimination through Learning Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2023-11-13 Rasha Ahmed
This paper builds a theoretical framework to model individualization in online markets. In a market with consumers of varying levels of demand, a seller offers multiple product bundles and prices. Relative to brick-and-mortar stores, an online seller can use pricing algorithms that can observe a buyer’s online behavior and infer a buyer’s type. I build a generalized model of price discrimination with
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Detecting Fraudulent Transactions Using Stacked Autoencoder Kernel ELM Optimized by the Dandelion Algorithm Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2023-11-10 Fatima Zohra El Hlouli, Jamal Riffi, Mhamed Sayyouri, Mohamed Adnane Mahraz, Ali Yahyaouy, Khalid El Fazazy, Hamid Tairi
The risk of fraudulent activity has significantly increased with the rise in digital payments. To resolve this issue there is a need for reliable real-time fraud detection technologies. This research introduced an innovative method called stacked autoencoder kernel extreme learning machine optimized by the dandelion algorithm (S-AEKELM-DA) to detect fraudulent transactions. The primary objective was
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What Do You Need to Know? A Systematic Review and Research Agenda on Neuromarketing Discipline Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2023-11-03 Prakash Singh, Ibrahim Alhassan, Lama Khoshaim
The neuromarketing phenomenon has led to a makeover in the marketing area, and its application in the business world has generated a better insight into understanding diverse consumer behavior. This comprehensive study delves into the multifaceted world of neuromarketing. Employing a systematic literature review approach and reviewing 51 articles from the Web of Science database, the study aims to
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Achieving Sales Forecasting with Higher Accuracy and Efficiency: A New Model Based on Modified Transformer Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2023-11-02 Qianying Li, Mingyang Yu
With the exponential expansion of e-commerce, an immense volume of historical sales data has been generated and amassed. This influx of data has created an opportunity for more accurate sales forecasting. While various sales forecasting methods and models have been applied in practice, existing ones often struggle to fully harness sales data and manage significant fluctuations. As a result, they frequently
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Examining Consumers’ Perceptions of and Attitudes toward Digital Fashion in General and Purchase Intention of Luxury Brands’ Digital Fashion Specifically Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2023-10-25 Yanbo Zhang, Chuanlan Liu, Yanru Lyu
Digital fashion may instill transformative power into the fashion industry as it can simultaneously deliver fashionability and sustainability. Renowned for their innovativeness and creativity, luxury brands embrace digital fashion and achieve market success, indicating the future of digital fashion. This research aims to empirically investigate consumers’ general perceptions and evaluations of digital
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Global Market Perceptions of Cryptocurrency and the Use of Cryptocurrency by Consumers: A Pilot Study Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2023-10-20 Murugappan Murugappan, Rashmi Nair, Saravanan Krishnan
Cryptocurrencies, like Bitcoin and Ethereum, have garnered global attention in recent years as digital alternatives to traditional fiat currencies. This paper explores the complex landscape of cryptocurrency adoption, consumer behavior, and perceptions. Beginning with the origin of cryptocurrencies and the dominance of Bitcoin with its USD 1.23 trillion market capitalization, the paper highlights popular
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User-Informed Adaptation in IoT Home Healthcare: Grounding Development in Empirical Evidence Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2023-10-17 Hannah Fehringer, Christian Stary
IoT (Internet of Things)-enabled products are increasingly used by consumers and continuously propagate in daily life. Billions of networked objects not only increase the complexity of development but also raise user interaction and adaptation to individual needs. The more non-expert users are involved in decision making, interaction, and adaptation processes, the more user-centric IoT design is crucial
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Evolutionary Game Analysis of the Impact of Big Data Credit Technology on the Credit Rationing of Micro and Small Enterprises (MSEs) Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2023-10-18 Yuhuan Jin, Sheng Zhang, Xiaokang Lei
Credit rationing hindered the development of MSEs. Big data credit technology creates a great opportunity to address this issue. Then, how does big data credit technology affect and to what extent can it alleviate the credit rationing of MSEs? Based on the bounded rationality economic man hypothesis, the evolutionary game model of banks and MSEs under the traditional mode and big data credit technology
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Exploring Factors Affecting Mobile Government Services Adoption in the Egyptian Context Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2023-10-11 Sherif Elbatanouny, Georgios Dafoulas, Noha Saleeb
This research intends to identify factors in the adoption of mobile government services, recognizing the main mobile government acceptance factors through different models, namely, the theory of reasoned action (TRA), the theory of planned behavior (TPB), the technology acceptance model (TAM), the technology readiness index (TRI), and the unified theory of acceptance and use of technology (UTAUT).
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The Meal Delivery Routing Problem in E-commerce Platforms under the Shared Logistics Mode Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2023-10-11 Hualing Bi, Xiaoxue Zhu, Fuqiang Lu, Min Huang
The meal delivery routing problem faced by the e-commerce platform is challenging. In order to reduce the logistics cost and meet the needs of customers, a multi-objective meal delivery routing problem is studied under the shared logistics services mode (SLSM). In the meal delivery problem, the third-party logistics providers need to arrange vehicles in the multi-depot to pick up meals from multiple
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Evolution of the Online Grocery-Shopping Experience during the COVID-19 Pandemic: An Empiric Study from Portugal. Comment on Gomes, S.; Lopes, J.M. Evolution of the Online Grocery Shopping Experience during the COVID-19 Pandemic: Empiric Study from Portugal. J. Theor. Appl. Electron. Commer. Res. 2022, 17, 909–923 Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2023-10-07 Leo Van Hove
This comment points out that Lopes and Gomes, in their study on Portugal, erroneously conclude from their results that “being female negatively influences the online grocery shopping experience during the COVID-19 pandemic”. In fact, gender is insignificant.
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Conceptualization and Survey Instrument Development for Over-the-Top Platforms’ Usability Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2023-10-01 Aycan Pekpazar, Muhammed Cagri Coskun, Cigdem Altin Gumussoy
OTT (over-the-top) streaming is a subscription-based video service model that delivers video-on-demand content, films, and series directly to end-users over the Internet, bypassing the need for traditional satellite receiver systems. The most popular OTT service providers include Netflix, Hulu, Amazon Prime, and Disney+. During the COVID-19 pandemic, the viewership rates and subscriber numbers for
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Bilateral Pricing of Ride-Hailing Platforms Considering Cross-Group Network Effect and Congestion Effect Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2023-09-30 Jing Li, Hongfu Huang, Li Li, Jieyu Wu
The pricing of ride-hailing platforms (e.g., Didi Rider and Uber) is heavily and simultaneously influenced by the cross-group network effect and congestion effect. To analyze the bilateral pricing of ride-hailing platforms under the influence of these two effects, in this paper we construct a game-theoretic model under four different scenarios and analyze the equilibrium outcomes. The results show
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Influencer Engagement on Social Media: A Conceptual Model, the Development and Validation of a Measurement Scale Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2023-10-01 Nataly Levesque, Frank Pons
This research aims to conceptualize, develop, and validate a specific instrument for measuring the engagement of followers towards influencers on social media, and more specifically, in this first research, on Instagram. We surveyed (in-depth interviews, and questionnaires) 32 marketing experts and 1170 Instagram followers. Based on the applications of factor analysis and structural equation modelling
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The Business Digitalization Process in SMEs from the Implementation of e-Commerce: An Empirical Analysis Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2023-09-26 José Manuel Santos-Jaén, Fernando Gimeno-Arias, Ana León-Gómez, Mercedes Palacios-Manzano
The main objective of this research is to carry out a comprehensive analysis of how e-commerce affects the performance of small and medium-sized enterprises (SMEs) in Mexico. This study will pay special attention to the role of business digitalization and the optimization of operational processes in this context. Our research involved creating a partial least squares structural equation model (PLS-SEM)
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Could Food Delivery Involve Certified Quality Products? An Innovative Case Study during the SARS-CoV-2 Pandemic in Italy Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2023-09-22 Mattia Rapa, Vanessa Giannetti, Maurizio Boccacci Mariani, Federico Di Francesco, Alessandro Porpiglia
This study evaluates the feasibility of a new food delivery service involving only food products with quality certification. In particular, through an ad hoc survey, it evaluates the influence of consumers’ personal characteristics and choice motives on joining this innovative service and the willingness to pay of the respondents. A survey was completely anonymously and voluntarily administered during
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Do Electronic Coupon-Using Behaviors Make Men Womanish? The Effect of the Coupon–Feminine Stereotype Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2023-09-18 Chenyan Gu, Liang Hu, Xi Lei, Defeng Yang
Why are men less likely to use electronic coupons than women? Previous studies have explained the gender difference in coupon usage by exploring roles within the household and personality traits of the sexes. However, this research offers a novel explanation for this phenomenon, that men’s reluctance to use e-coupons may derive from the prevalent stereotype that e-coupon users are feminine. Because
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Content Quality Assurance on Media Platforms with User-Generated Content Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2023-09-18 Xingzhen Zhu, Markus Lang, Helmut Max Dietl
This paper develops a duopoly model for user-generated content (UGC) platforms, which compete for consumers and content producers in two-sided markets characterized by network externalities. Each platform has the option to invest in a content quality assurance (CQA) system and determine the level of advertising. Our model reveals that network effects are pivotal in shaping the platforms’ optimal strategies
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A Segmentation Study of Digital Pirates and Understanding the Effectiveness of Targeted Anti-Piracy Communication Journal of Theoretical and Applied Electronic Commerce Research (IF 5.318) Pub Date : 2023-09-11 Bong-Keun Jeong, Sarah S. Khan, Bomi Kang
The objective of this study is to improve the effectiveness of anti-piracy educational strategies by identifying unique digital pirate segments and delivering personalized campaign messages to the target audiences. In the first study, we introduced a segmentation study of digital pirates based on different types of risks involved in pirating activities. We identify four digital pirate segments (anti-pirates