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Role of Artificial Neural Networks Techniques in Development of Market Intelligence -
Psychological Traits and Intention to Use E-Commerce among Rural Micro-Entrepreneurs in Malaysia -
Fundamental Power of Social Media Interactions for Building a Brand and Customer Relations -
The Impacts of Self-Construal and Perceived Risk on Technology Readiness -
eWOM in C2C Platforms: Combining IAM and Customer Satisfaction to Examine the Impact on Purchase Intention
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 of the Faculty of Engineering of the Universidad de Talca, published quarterly by MDPI from Volume 16, Issue 3 (2021).
- Open Access— free to download, share, and reuse content. Authors receive recognition for their contribution when the paper is reused.
- High Visibility: indexed within Scopus, SSCI (Web of Science), dblp, and many other databases.
- Journal Rank: CiteScore - Q1 (General Business, Management and Accounting)
- Rapid Publication: manuscripts are peer-reviewed and a first decision provided to authors approximately 20.2 days after submission; acceptance to publication is undertaken in 4.6 days (median values for papers published in this journal in the first half of 2021).
- Recognition of Reviewers: APC discount vouchers, optional signed peer review, and reviewer names published annually in the journal.
Impact Factor:
3.049 (2020)
;
5-Year Impact Factor:
2.483 (2020)
Latest Articles
A Theoretical Analysis of the Pricing and Advertising Strategies with Lévy-Walking Consumers
J. Theor. Appl. Electron. Commer. Res. 2021, 16(6), 2129-2150; https://doi.org/10.3390/jtaer16060119 - 27 Aug 2021
Abstract
The pervasive adoption of mobile devices and proximity technologies enables firms to trace consumers’ trajectories and locations. This connects firms’ marketing and operations strategies more tightly with consumer mobility. In this paper, we propose a novel analytical model to examine the economic effects
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The pervasive adoption of mobile devices and proximity technologies enables firms to trace consumers’ trajectories and locations. This connects firms’ marketing and operations strategies more tightly with consumer mobility. In this paper, we propose a novel analytical model to examine the economic effects of consumer mobility on pricing and advertising strategies by incorporating consumers’ Lévy-walking behavior into advertising economics models. We ascertain the convergent effect of consumer mobility, i.e., consumers’ convergence to a firm leads to higher product price and advertising level. Meanwhile, it improves social welfare by increasing firm profit and consumer surplus. More interestingly, we find that consumers’ average movement distance (AMD) has opposing influences in pricing and advertising strategies. Specifically, longer AMD strengthens the convergent effect on advertising strategy but weakens that on pricing strategy. Finally, we also conduct a numerical analysis to uncover the impacts of the presence of proximity technologies on advertising outcomes. The results of this paper provide advisable guidance to firms on how to craft and adjust pricing and advertising strategies in accordance to consumer mobility. Moreover, the results present insights on welfare implications of informative advertising from the perspective of consumer mobility.
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(This article belongs to the Special Issue Emerging Topics in Omni-Channel Operations)
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Business Model Innovation Based on New Technologies and Its Influence on a Company’s Competitive Advantage
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J. Theor. Appl. Electron. Commer. Res. 2021, 16(6), 2110-2128; https://doi.org/10.3390/jtaer16060118 - 22 Aug 2021
Abstract
The aim of the paper is to determine the influence of BMI based on new technologies on a company’s competitive advantage. In order to accomplish the aim a quantitative research was performed using the computer assisted telephone interview (CATI) method. There are two
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The aim of the paper is to determine the influence of BMI based on new technologies on a company’s competitive advantage. In order to accomplish the aim a quantitative research was performed using the computer assisted telephone interview (CATI) method. There are two main outcomes of the research. Firstly, BMI based on new technologies has a positive influence on a company’s competitive advantage. Secondly, it was proven that the greater the use of technologies for BMI the greater a company’s competitive advantage is. Taking into account the research results, the paper explains how they contribute to the development of two theories—the theory of innovation as well the theory of competitive advantage. Several recommendations for business practice as well as policy makers are also formulated.
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(This article belongs to the Section Entrepreneurship, Innovation, FinTech Accounting and Industry 4.0)
Open AccessArticle
A Dynamic Contest Model of Platform Competition in Two-Sided Markets
J. Theor. Appl. Electron. Commer. Res. 2021, 16(6), 2091-2109; https://doi.org/10.3390/jtaer16060117 - 18 Aug 2021
Abstract
This paper examines the dynamic competition between platform firms in two-sided markets with network externalities. In our model, two platforms compete with each other via a contest to dominate a certain market. If one platform wins the contest, it can serve the market
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This paper examines the dynamic competition between platform firms in two-sided markets with network externalities. In our model, two platforms compete with each other via a contest to dominate a certain market. If one platform wins the contest, it can serve the market for a certain duration as a monopolistic platform. Our paper shows that platform firms can compensate for cost disadvantages with network effects. A head start (e.g., technological advantage) does not guarantee future success for platform firms. Network effects and cost efficiency are decisive for future success. Interestingly, higher costs of a platform can induce higher platform profits in our dynamic model. Moreover, we find that a platform’s size and profit are not necessarily positively correlated. Our model also provides new insights with respect to the underlying causes for the emergence of market dominance. The combination of technological carry-over and network effects can explain a long-lasting dominance of a platform that benefits from a head start. The necessary preconditions for this emergence are convex costs, small network effects and high carry-over.
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(This article belongs to the Section Entrepreneurship, Innovation, FinTech Accounting and Industry 4.0)
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Internet of Things (IoT) Technology Research in Business and Management Literature: Results from a Co-Citation Analysis
J. Theor. Appl. Electron. Commer. Res. 2021, 16(6), 2073-2090; https://doi.org/10.3390/jtaer16060116 - 17 Aug 2021
Abstract
In coherence with the progressive digitalization of all areas of life, the Internet of Things (IoT) is a flourishing concept in both research and practice. Due to the increasing scholarly attention, the literature landscape has become scattered and fragmented. With a focus on
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In coherence with the progressive digitalization of all areas of life, the Internet of Things (IoT) is a flourishing concept in both research and practice. Due to the increasing scholarly attention, the literature landscape has become scattered and fragmented. With a focus on the commercial application of the IoT and corresponding research, we employ a co-citation analysis and literature review to structure the field. We find and describe 19 research themes. To consolidate the extant research, we propose a research framework, which is based on a theoretical implementation process of IoT as a concept, specific IoT applications, or architectures integrated in an adapted input–process–output model. The main variables of the model are an initial definition and conceptualization of an IoT concept (input), which goes through an evaluation process (process), before it is implemented and can have an impact in practice (output). The paper contributes to interdisciplinary research relating to a business and management perspective on IoT by providing a holistic overview of predominant research themes and an integrative research framework.
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(This article belongs to the Section Entrepreneurship, Innovation, FinTech Accounting and Industry 4.0)
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Benefits of Online Sources of Information in the Tourism Sector: The Key Role of Motivation to Co-Create
by
, , and
J. Theor. Appl. Electron. Commer. Res. 2021, 16(6), 2051-2072; https://doi.org/10.3390/jtaer16060115 - 13 Aug 2021
Abstract
Online sources of information are a matter of special interest in tourism research. In particular, they are key elements in the formation of destination image. The purpose of this paper is to examine the relationship between online sources of information and destination image
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Online sources of information are a matter of special interest in tourism research. In particular, they are key elements in the formation of destination image. The purpose of this paper is to examine the relationship between online sources of information and destination image and to analyze the mediating role of motivation to co-create in that relationship. A research model was developed, and hypotheses were tested on data collected from 394 usable responses about the World Heritage city of Cuenca (Spain). The results show that online commercial sources have a direct positive impact on the conative, affective and cognitive dimensions of the tourist image, in this order. Additionally, this study supports the view that motivation to co-create mediates the relationship between online information sources and destination image. Finally, motivation to co-create was also found to have a positive and direct impact, in this order, on conative, cognitive and affective image. The main value of our research is that it underlines the essential influence of motivation to co-create in the relationship between online information sources and destination image. This study also provides a critical review of the existing literature by positing a conceptual theoretical framework that links three types of online sources of information (social media sources, online commercial sources and online non-commercial sources) and destination image.
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(This article belongs to the Special Issue The Effects of Social Media Marketing on Online Consumer Behavior in Digital Era)
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SenseTrust: A Sentiment Based Trust Model in Social Network
J. Theor. Appl. Electron. Commer. Res. 2021, 16(6), 2031-2050; https://doi.org/10.3390/jtaer16060114 - 27 Jul 2021
Abstract
Online social networks, as popular media and communications tools with their own extensive uses, play key roles in public opinion polls, politics, economy, and even governance. An important issue regarding these networks is the use of multiple sources of publishing or re-publishing news
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Online social networks, as popular media and communications tools with their own extensive uses, play key roles in public opinion polls, politics, economy, and even governance. An important issue regarding these networks is the use of multiple sources of publishing or re-publishing news and propositions that can influence audiences depending on the level of trust in these sources between users. Therefore, estimating the level of trust in social networks between users can predict the extent of social networks’ impact on news and different publication and re-publication sources, and correspondingly provide effective strategies in news dissemination, advertisements, and other diverse contents for trustees. Therefore, trust is introduced and interpreted in the present study. A large portion of interactions in social networks is based on sending and receiving texts employing natural language processing techniques. A Hidden Markov Model (HMM) was designed via an efficient model, namely SenseTrust, to estimate the level of trust between users in social networks.
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(This article belongs to the Section e-Commerce Analytics)
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A Financial Incentive Mechanism for Truthful Reporting Assurance in Online Crowdsourcing Platforms
J. Theor. Appl. Electron. Commer. Res. 2021, 16(6), 2014-2030; https://doi.org/10.3390/jtaer16060113 - 26 Jul 2021
Abstract
In today’s world, crowdsourcing is regarded as an effective strategy to deal with a high volume of small issues whose solutions can have their own complexities in systems. Moreover, requesters are currently providing hundreds of thousands of tasks in online job markets and
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In today’s world, crowdsourcing is regarded as an effective strategy to deal with a high volume of small issues whose solutions can have their own complexities in systems. Moreover, requesters are currently providing hundreds of thousands of tasks in online job markets and workers need to perform these tasks to earn money. Thus far, various aspects of crowdsourcing including budget management, mechanism design for price management, forcing workers to behave truthfully in bidding prices, or maximized gains of crowdsourcing have been considered in different studies. One of the main existing challenges in crowdsourcing is how to ensure truthful reporting is provided by contributing workers. Since the amount of pay to workers is directly correlated with the number of tasks performed by them over a period of time, it can be predicted that strong incentives encourage them to carry out more tasks by giving untruthful answers (providing the first possible answer without examining it) in order to increase the amount of pay. However, crowdsourcing requesters need to obtain truthful reporting as an output of tasks assigned to workers. In this study, a mechanism was developed whose implementation in crowdsourcing could ensure truthful reporting by workers. The mechanism provided in this study was evaluated as more budget feasible and it was also fairer for requesters and workers due to its well-defined procedure.
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(This article belongs to the Section e-Commerce Analytics)
Open AccessArticle
Omni-Channel Customer Experience (In)Consistency and Service Success: A Study Based on Polynomial Regression Analysis
J. Theor. Appl. Electron. Commer. Res. 2021, 16(6), 1997-2013; https://doi.org/10.3390/jtaer16060112 - 25 Jul 2021
Abstract
Drawing on expectation disconfirmation theory, this study explores the dyadic nature of omni-channel consistency on customer experience. Specifically, we propose a conceptual model that focuses on a brand’s offline channel customer experience relative to that of its online channel, and test the influences
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Drawing on expectation disconfirmation theory, this study explores the dyadic nature of omni-channel consistency on customer experience. Specifically, we propose a conceptual model that focuses on a brand’s offline channel customer experience relative to that of its online channel, and test the influences of customer experience (in)consistency on customer satisfaction, which then improves repurchase intention and word-of-mouth. The results of polynomial regressions on 265 survey respondents indicate that given omni-channel customer experience inconsistency, customers prefer consistent online and offline experiences. For omni-channel consistency at lower levels of customer experience quality, customers prefer consistency at higher levels of quality. For omni-channel inconsistency where offline customer experience quality is lower than that online, customers prefer omni-channel inconsistency, where offline customer experience quality is higher than that online. These findings produce not only theoretical contributions but also insightful suggestions for how customer experience can be taken into consideration in the promotion of a brand’s omni-channel service success.
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(This article belongs to the Special Issue Emerging Topics in Omni-Channel Operations)
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Empty the Shopping Cart? The Effect of Shopping Cart Item Sorting on Online Shopping Cart Abandonment Behavior
J. Theor. Appl. Electron. Commer. Res. 2021, 16(6), 1973-1996; https://doi.org/10.3390/jtaer16060111 - 07 Jul 2021
Abstract
The vigorous development of e-commerce has led to online retailers or platforms increasing the capacity of online shopping carts. A large number of products are added to the online shopping cart, but they are not “emptied.” The resulting behavior of products being stuck
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The vigorous development of e-commerce has led to online retailers or platforms increasing the capacity of online shopping carts. A large number of products are added to the online shopping cart, but they are not “emptied.” The resulting behavior of products being stuck in the shopping cart is called the “shopping cart abandonment behavior.” Previous literature has focused on the large number of antecedent variables that affect shopping cart abandonment behavior in the pre-decision stage of online shopping. This previous research has studied how to reduce shopping cart abandonment behavior from the perspective of consumers. By focusing on the post-decision-making stage of shopping, this research proposes to sort the products in a chronological order (ascending and descending order) after the products are added to the shopping cart and reduce shopping cart abandonment behavior through the intermediary of forgetfulness and choice overload. We use an exploratory study and two laboratory experiments to reveal the above intermediary mechanism. Our results show that online shopping cart abandonment generally occurs in shopping carts on all major platforms. Forgetting and shopping cart page rendering may be the reasons that lead to shopping cart abandonment behavior. In the case of targeted tasks, ascending order has a significant impact on abandonment behavior, choice overload mediated this effect.
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(This article belongs to the Special Issue Emerging Topics in Omni-Channel Operations)
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The Role of Social Media in the Innovation and Performance of Kuwaiti Enterprises in the Food Sector
J. Theor. Appl. Electron. Commer. Res. 2021, 16(6), 1960-1972; https://doi.org/10.3390/jtaer16060110 - 29 Jun 2021
Abstract
This study examined social media’s role in various levels of research, development, and performance within enterprises in Kuwait. The research incorporated four inductive case analyses in various sectors. The case studies epitomize the supply chain of Kuwaiti enterprises, including small and medium-sized enterprises
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This study examined social media’s role in various levels of research, development, and performance within enterprises in Kuwait. The research incorporated four inductive case analyses in various sectors. The case studies epitomize the supply chain of Kuwaiti enterprises, including small and medium-sized enterprises (SMEs). Media richness theory and social exchange effectuation theory were utilized to create an effective theory and a theoretical framework. This study collected data via a questionnaire completed by 100 managers employed by Kuwaiti SMEs specialized in the food sector and interviews with eight managers. Numerical data were analyzed via SPSS software, while textual data were analyzed by applying thematic analysis. The results of this study suggest that Kuwaiti companies should adopt social media platforms and other novel, innovative outlets to publicize their organizations and maximize performance. Social media richness and openness tend to determine the supplier selection process in most Kuwaiti enterprises, leading to positive transactional and social impacts on entrepreneurship.
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(This article belongs to the Special Issue Technological Entrepreneurship, Internationalization of High-Tech Companies, and International e-Business)
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Responding to Negative Electronic Word of Mouth to Improve Purchase Intention
by
, , , , , , , and
J. Theor. Appl. Electron. Commer. Res. 2021, 16(6), 1945-1959; https://doi.org/10.3390/jtaer16060109 - 28 Jun 2021
Abstract
Retailers have little control over what their customers say about their products and services online. Review platforms (e.g., Yelp and Travelocity) are rife with negativity, from both real customers with bad experiences and from fake reviews created by competitors. These negative reviews have
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Retailers have little control over what their customers say about their products and services online. Review platforms (e.g., Yelp and Travelocity) are rife with negativity, from both real customers with bad experiences and from fake reviews created by competitors. These negative reviews have been shown to influence the purchasing behavior of future consumers. Many platforms do afford companies some control by including them in the online conversation about their products or services. Crafting a response to a poor review which appeals to future consumers may mitigate some of the negative outcomes associated with that review. This study advances our knowledge of responding to negative reviews by adding to the growing body of research, using a simulation-based experiment to test the influence of three elements of a review response on purchase intention (i.e., an apology, an explanation and a pledge to correct the problem identified in the review). In doing so, the data show that purchase intention increases only when a response contains all three elements. Implications for e-commerce researchers and review platform developers are discussed.
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(This article belongs to the Section Digital Marketing and the Connected Consumer)
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Identifying Startups Business Opportunities from UGC on Twitter Chatting: An Exploratory Analysis
J. Theor. Appl. Electron. Commer. Res. 2021, 16(6), 1929-1944; https://doi.org/10.3390/jtaer16060108 - 26 Jun 2021
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The startup business ecosystem in India has experienced exponential growth. The amount of investment in Indian startups in the last decade demonstrates the strong interest of the technology industry to these business models based on innovation. In this context, the present study aims
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The startup business ecosystem in India has experienced exponential growth. The amount of investment in Indian startups in the last decade demonstrates the strong interest of the technology industry to these business models based on innovation. In this context, the present study aims to identify investment opportunities for investors in Indian startups by identifying key indicators that characterize the startup ecosystem in India. To this end, a three steps data mining method is developed using data mining techniques. First, a sentiment analysis (SA), a machine learning approach that classifies the topics into groups expressing feelings, is applied to a dataset. Next, we develop a Latent Dirichlet Allocation (LDA) model, a topic-modeling technique that divides the sample of n = 14.531 tweets from Twitter into topics, using user-generated content (UGC) as data. Finally, in order to identify the characteristics of each topic we apply textual analysis (TA) to identify key indicators. The originality of the present study lies in the methodological process used for data analysis. Our results also contribute to the literature on startups. The results demonstrate that the Indian startup ecosystem is influenced by areas such as fintech, innovation, crowdfunding, hardware, funds, competition, artificial intelligence, augmented reality and electronic commerce. Of note, in view of the exploratory approach of the present study, the results and implications should be taken as descriptive, rather than determining for future investments in the Indian startup ecosystem.
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AI Recommendation Service Acceptance: Assessing the Effects of Perceived Empathy and Need for Cognition
by
and
J. Theor. Appl. Electron. Commer. Res. 2021, 16(5), 1912-1928; https://doi.org/10.3390/jtaer16050107 - 18 Jun 2021
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This study investigated the effect of perceived technology quality and personalization quality on behavioral intentions, mediated by perceived empathy in using an artificial intelligence (AI) recommendation service. The study was based on a theoretical model of artificial intelligent device use acceptance. We also
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This study investigated the effect of perceived technology quality and personalization quality on behavioral intentions, mediated by perceived empathy in using an artificial intelligence (AI) recommendation service. The study was based on a theoretical model of artificial intelligent device use acceptance. We also tested the moderating effect of individuals’ need for cognition, influencing empathy. Data collection was conducted through an online survey using a nationally recognized consumer research panel service in Korea. The participants were asked to respond to their preferences and needs on sneakers; then, they randomly experienced the AI (versus human expert) recommendation service that offers a recommended product. A total of 200 data were analyzed using SPSS 21.0 for descriptive statistics, reliability analysis, and PROCESS analysis, and AMOS 21.0 for confirmatory factor analysis and structural equation modeling (SEM). Results revealed that, compared with the human (expert) recommendation service, the AI recommendation service increased perceived technology quality, which increased personalization quality. Technology and personalization quality had a positive influence on behavioral intentions, mediated by perceived empathy. In addition, when individuals had a high level of need for cognition, the effect of personalization quality on empathy was stronger. However, individuals with a low level of need for cognition perceived greater empathy, as technology quality increased. The findings of the current study improve understanding of how consumers accept AI technology-driven services in the online shopping context.
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Understanding FinTech Platform Adoption: Impacts of Perceived Value and Perceived Risk
J. Theor. Appl. Electron. Commer. Res. 2021, 16(5), 1893-1911; https://doi.org/10.3390/jtaer16050106 - 17 Jun 2021
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FinTech platforms are one of the most important elements in the rapidly digitized world’s economy. This study investigates the factors that affected individuals’ acceptance of FinTech services, especially on internet wealth management platforms. The current research extends the unified theory of acceptance and
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FinTech platforms are one of the most important elements in the rapidly digitized world’s economy. This study investigates the factors that affected individuals’ acceptance of FinTech services, especially on internet wealth management platforms. The current research extends the unified theory of acceptance and use of technology (UTAUT) published by MIS Quarterly with integrated financial consumption attributes (i.e., perceived value and perceived risk) alongside the core construct of UTAUT. Data were collected from an established survey company. The empirical results indicate that perceived value, perceived risk, and social influence are strongly related to individuals’ FinTech adoption intention, whereas performance expectancy, effort expectancy, and perceived risk affect individuals’ perceived value, which in turn influences adoption intention. The proposed FinTech adoption model could contribute to information technology (IT) adoption research by extending the UTAUT in which individuals’ performance expectancy and effort expectancy affect their adoption intention indirectly through perceived value. Finally, the implications of the proposed new model for future research and FinTech practice are discussed.
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International Trade in the High-Tech Sector—Support or Obstacle to Start-Up Processes at the Macro Level in European Union Countries?
J. Theor. Appl. Electron. Commer. Res. 2021, 16(5), 1877-1892; https://doi.org/10.3390/jtaer16050105 - 10 Jun 2021
Abstract
High-tech internationalization touches on two aspects impacting entrepreneurship: openness of the economy and its level of innovativeness. Both of them might positively or negatively affect the process of new company creations, as suggested by the concept of entrepreneurial regime with creative destruction or
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High-tech internationalization touches on two aspects impacting entrepreneurship: openness of the economy and its level of innovativeness. Both of them might positively or negatively affect the process of new company creations, as suggested by the concept of entrepreneurial regime with creative destruction or by the concept of routinized regime with creative accumulation. The aim of the article is to assess the impact of high-tech internationalization on the start-up process of new company creation. Cluster analysis and panel modeling for European Union countries in 2009–2018 were conducted. The research results distinguish clusters of European Union countries with a different level of high-tech internationalization. The impact of high-tech internationalization on start-up rates is significant in the case of both clusters; however, it is stronger in the cluster of countries with a relatively higher level of high-tech international openness. The high-tech intra-EU import and extra-EU high-tech export negatively affect the rate of new enterprise creation in both clusters. Additionally, extra-EU import in clusters with a relatively higher level of high-tech internationalization also negatively impacts start-up rates. The only aspect supporting the start-up process is the level of intra-EU export in clusters with higher levels of high-tech internationalization. The results suggest that in European Union countries, creative accumulation is the dominant phenomenon.
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(This article belongs to the Special Issue Technological Entrepreneurship, Internationalization of High-Tech Companies, and International e-Business)
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Role of Artificial Neural Networks Techniques in Development of Market Intelligence: A Study of Sentiment Analysis of eWOM of a Women’s Clothing Company
J. Theor. Appl. Electron. Commer. Res. 2021, 16(5), 1862-1876; https://doi.org/10.3390/jtaer16050104 - 08 Jun 2021
Abstract
Web 2.0 technology enables customers to share electronic word of mouth (eWOM) about their experiences. eWOM offers great market insights to the organization, and important for organization’s success. eWOM monitoring and management is one of the major contemporary challenges for the organization, because
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Web 2.0 technology enables customers to share electronic word of mouth (eWOM) about their experiences. eWOM offers great market insights to the organization, and important for organization’s success. eWOM monitoring and management is one of the major contemporary challenges for the organization, because of high volume and frequency of the content. It is nearly impossible for an organization to manually monitor content generated by each user. In this paper, we propose sentiment analysis as an alternative method for analysis of emotions and behavioral intentions in real-time data. Sentiment analysis is performed on women’s e-clothing reviews collected from the Kaggle data repository. The dataset consists of 23,486 reviews, comprising ten feature variables. This study applied artificial neural network techniques to determine polarity of the data in terms of positive or negative. Sentiment analysis was performed by using two artificial neural networks, Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM), to classify the review as recommended (positive) or not recommended (negative). The proposed models have been evaluated on these performance measuring parameters: accuracy, recall, specificity, F1-score and roc-curve. The LSTM method outperformed CNN and achieved classification accuracy of 91.69%, specificity 92.81%, sensitivity 76.95%, and 56.67% F1-score. Based on results of this study, LSTM technique is highly recommended for the sentiment analysis of unstructured text-based user-generated content.
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(This article belongs to the Section Digital Marketing and the Connected Consumer)
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Financial Innovation in Digital Payment with WeChat towards Electronic Business Success
J. Theor. Appl. Electron. Commer. Res. 2021, 16(5), 1844-1861; https://doi.org/10.3390/jtaer16050103 - 08 Jun 2021
Abstract
Financial innovation and advances in payment systems are important not only to boost remittances but also to foster the successful development of electronic businesses around the world. As such, many leading companies in electronic commerce are putting a great deal of effort into
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Financial innovation and advances in payment systems are important not only to boost remittances but also to foster the successful development of electronic businesses around the world. As such, many leading companies in electronic commerce are putting a great deal of effort into the development of their payment system to attract more users and compete with other leading companies in the market. WeChat is a social communication tool that introduced a payment function widely adopted as a third-party payment in China nowadays. The purpose of this study was to adopt WeChat as a case study to identify the influential factors that impact consumers’ intention to adopt it as digital payment. We identified several core influential factors including service quality, perceived risk, perceived security, perceived ease of use, social influence, compatibility, and age. Qualitative and quantitative analyses were performed to investigate how influential factors affect the adoption of this third-party digital payment platform. The results revealed that all identified factors have a significant influence on consumer’s intention to use digital payment, except age. This study also provided useful advice for digital payment improvement and recommendations to enhance digital payment for the success of electronic business operations. The paper provides new insight into the factors influencing consumers’ intention to use mobile digital payment.
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(This article belongs to the Special Issue Enhancing Consumer Experience through Mobile Commerce: Challenges and Opportunities)
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Psychological Traits and Intention to Use E-Commerce among Rural Micro-Entrepreneurs in Malaysia
by
, , , and
J. Theor. Appl. Electron. Commer. Res. 2021, 16(5), 1827-1843; https://doi.org/10.3390/jtaer16050102 - 07 Jun 2021
Abstract
This study was set out to chiefly examine the influence of psychological traits—need of achievement (“N of Ach”) and risk-taking propensity (RTP)—on perceived usefulness (PUF) and perceived ease of use (PercEU), as well as their effects on the intention to use e-commerce among
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This study was set out to chiefly examine the influence of psychological traits—need of achievement (“N of Ach”) and risk-taking propensity (RTP)—on perceived usefulness (PUF) and perceived ease of use (PercEU), as well as their effects on the intention to use e-commerce among rural micro-entrepreneurs. This study exploited the psychological traits theories and the technology acceptance model (TAM) by utilizing samples represented by rural micro-entrepreneurs. The results of the study found that the N of Ach and RTP significantly influence PUF and PercEU. The two original TAM constructs and PercEU have significant relationships with PUF and intention. At the same time, it was also found that there exists a significant relationship between PUF and intention. This study therefore serves to fill the gaps where N of Ach and RTP of rural micro-entrepreneurs are seldom tested to examine the effects of perceptions of benefits and ease of use on the adoption of e-commerce. On top of that, this study provides vital input to policy makers and stakeholders of rural development in their efforts to increase the adoption of e-commerce among rural micro-entrepreneurs.
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(This article belongs to the Special Issue Technological Entrepreneurship, Internationalization of High-Tech Companies, and International e-Business)
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How Does Value Co-Creation Behavior Affect Destination Loyalty? A Role Switching Perspective
J. Theor. Appl. Electron. Commer. Res. 2021, 16(5), 1805-1826; https://doi.org/10.3390/jtaer16050101 - 05 Jun 2021
Abstract
The concept of value co-creation brings about changes in tourists’ roles from value receivers to producers. Most existing studies take value co-creation behavior as a single dimension, ignoring the role switching of tourists. Starting from the precise constitution of value co-creation behavior, this
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The concept of value co-creation brings about changes in tourists’ roles from value receivers to producers. Most existing studies take value co-creation behavior as a single dimension, ignoring the role switching of tourists. Starting from the precise constitution of value co-creation behavior, this paper, utilizing the method of structural equation modeling (SEM), discusses the mechanism of the effects of tourist participation behavior and citizenship behavior on destination loyalty through each sub-dimension of perceived value. The results showed the following: (1) The participation behavior (in-role) and citizenship behavior (extra-role) of tourists affect different value dimensions. (2) The value co-created by tourists presents a hierarchical state from the primary to the higher level. Among the types of value, novelty and social value belong to the primary level while quality, economic, knowledge, and emotional value belong to the higher level. (3) Destination loyalty is driven not only by tourist behavior (in-role) but also by citizenship behavior (extra-role). Based on the perspective of role switching, this paper establishes the theoretical framework of role switching in the era of value co-creation and proposes some strategic suggestions for marketing transformation.
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(This article belongs to the Special Issue The New Era of Digital Marketing)
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Information Acquisition and Its Incentives in an E-Commerce Supply Chain under the Offline Showroom Model
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and
J. Theor. Appl. Electron. Commer. Res. 2021, 16(5), 1791-1804; https://doi.org/10.3390/jtaer16050100 - 03 Jun 2021
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Recently, the showroom model has developed fast for allowing consumers to evaluate a product offline and then buy it online. This paper aims at exploring the optimal information acquisition strategy and its incentive contracts in an e-commerce supply chain with two competing e-tailers
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Recently, the showroom model has developed fast for allowing consumers to evaluate a product offline and then buy it online. This paper aims at exploring the optimal information acquisition strategy and its incentive contracts in an e-commerce supply chain with two competing e-tailers and an offline showroom. Based on signaling game theory, we build a mathematical model by considering the impact of experience service and competition intensity on consumers’ demand. We find that, on the one hand, information acquisition promotes supply chain members to obtain demand information directly or indirectly, which leads to forecast revenue. On the other hand, information acquisition promotes supply chain members to distort optimal decisions, which results in signal cost. The optimal information acquisition strategy depends on the joint impact of forecast revenue, signal cost and demand forecast cost. Notably, in some conditions, the offline showroom will not acquire demand information even when its cost is equal to zero. We also design two different information acquisition incentive contracts to obtain Pareto improvement for all supply chain members.
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