Journal of Theoretical and Applied Electronic Commerce Research

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EISSN : 0718-1876
Published by: MDPI (10.3390)
Total articles ≅ 501
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Journal of Theoretical and Applied Electronic Commerce Research, Volume 16, pp 2922-2942; https://doi.org/10.3390/jtaer16070160

Abstract:
The present study proposes a theoretical framework that uncovers the joint effects of the update frequency of apps and product type of the update on consumer interest and its underlying mechanisms. Building on the theory of mental accounting and regulatory focus, we propose that the effects of update frequency on consumer interest are different for hedonic products and utilitarian products. The authors give insights into the main effects with an empirical analysis of a field data set and establish an understanding of the fundamental mechanisms by two laboratory experiments. The findings show that for hedonic products, high update frequency contributes to higher consumer interest by affecting the benefit perception of consumers. For utilitarian products, low update frequency results in higher consumer interest by influencing the risk perception of consumers. Furthermore, the level of update can affect the combined effects of product type and update frequency on consumer interest and, particularly for low update levels, the aforementioned association can be reversed.
Journal of Theoretical and Applied Electronic Commerce Research, Volume 16, pp 2943-2964; https://doi.org/10.3390/jtaer16070161

Abstract:
With the rapid development of information technology, digital platforms can collect, utilize, and share large amounts of specific information of consumers. However, these behaviors may endanger information security, thus causing privacy concerns among consumers. Considering the information sharing among firms, this paper constructs a two-period duopoly price competition Hotelling model, and gives insight into the impact of three different levels of privacy regulations on industry profit, consumer surplus, and social welfare. The results show that strong privacy protection does not necessarily make consumers better off, and weak privacy protection does not necessarily hurt consumers. Information sharing among firms will lead to strong competitive effects, which will prompt firms to lower the price for new customers, thus damaging the profits of firms, and making consumers’ surplus higher. The level of social welfare under different privacy regulations depends on consumers’ product-privacy preference, and the cost of information coordination among firms. With the cost of information coordination among firms increasing, it is only in areas where consumers have greater privacy preferences that social welfare may be optimal under the weak regulation.
Journal of Theoretical and Applied Electronic Commerce Research, Volume 16, pp 2898-2921; https://doi.org/10.3390/jtaer16070159

Abstract:
Anonymity is an inherent attribute of the Internet. Depending on pseudonyms, cyber citizens can role play and present themselves by reconstructing a different identity. In order to satisfy the needs of anonymous self-expression, anonymous social applications have become popular worldwide. In this paper, we conduct a survey regarding user intention (UI) of “Soul”, which is a popular anonymous social media application in China, especially for the youth. For this purpose, we design an adapted technology acceptance model (TAM) consisting of seven influencing factors, i.e., perceived usefulness (PU), perceived ease of use (PEOU), perceived anonymity (PA), perceived privacy riskiness (PPR), subjective norms (SN), emotional attachments (EA) and perceived interactivity (PI). Both the measurement and structural models are tested via partial least squares structural equation model. The results show that PU, PEOU, PPR and PI have a significant relationship with UI. Therein, both SN and EA can impact PU, and meanwhile, the direct paths between PI → PEOU, PA → PPR also exist. Contrary to expectation, the effect of SN on UI is not directly significant. The proposed model is able to explain 64.1% of variance for UI among Soul users. The results suggest that the proposed constructs provide relatively good explanations for the continuous intention to use the Soul app.
Journal of Theoretical and Applied Electronic Commerce Research, Volume 16, pp 2883-2897; https://doi.org/10.3390/jtaer16070158

Abstract:
According to specifications, flexible services for traffic management should be implemented within the 5G platform in order to improve its efficiency, which is and will remain an actual task. For the first time, the article presented here proposes a mathematical model for the operation process of an e-commerce-oriented ecosystem of a 5Ge base station, the information environment of which supports the operation of independent virtual network segments that provide terminal–segment information interaction services. In contrast to existing models, the presented model describes the studied process as a multi-pipeline queuing system, the inputs of which are coordinated with the flows of requests for communication with the relevant virtual network segments. The distribution of the total resources between the weighted virtual network segments in the simulated system is dynamically conducted by the appropriate software control mechanism. It considers the address intensities of new incoming requests and the maintenance of received incoming requests, but throughout the scale of the information environment of the 5Ge base station ecosystem. Based on the created mathematical model, a functional algorithm for the forced termination of an active terminal–segment information interaction session in the overloaded virtual network segment and the control mechanism of the distribution of the released system resources between other virtual network segments that takes into account the degree of their overload are formulated. The simulation and computational experiments showed that the implemented forced termination algorithm and system resource management mechanism allow the 5Ge base station to continue receiving incoming requests despite the overload of individual virtual network segments. It is empirically shown that the proposed services are effectively scaled concerning the value that is generally available for the distribution of the number of system resources and the allocation method within the guaranteed amounts of system resources for individual virtual network segments.
Journal of Theoretical and Applied Electronic Commerce Research, Volume 16, pp 2858-2882; https://doi.org/10.3390/jtaer16070157

Abstract:
In the context created by the COVID-19 pandemic, the aim of the research in this article is to highlight how the consumer experience is constructed, starting from the consumer’s attitudes—which we consider to be implicitly positive—and from the formation of habits of using mobile applications for food supply. Data were collected from 610 people—users of applications for food delivery in urban areas—in the spring of 2021, using a quantitative type of research in the form of a field survey based on questionnaire completion; for the model validation, we used confirmatory factor analysis. The online questionnaire link was sent out in April 2021, followed by the consumers’ completion of the questionnaire in the same month. The proposed theoretical model highlights the influence of variables that are specific for technology acceptance models on the perceived utility and development of implicit attitudes based on it, as well as the habits of using the application. The results of the research validate the proposed model, showing that attitudes in the form of an implicit-type attitudes developed in time are influencing habits and aid the development of a certain usage behavior depicted by a consumption experience that has specific content. Our paper contributes to a better understanding of the consumer experience development process within the context of technology acceptance in the field of food delivery services, emphasizing the importance of satisfying hedonic motivations as an integral part of the compensatory mechanisms determined by the effects of the pandemic.
Journal of Theoretical and Applied Electronic Commerce Research, Volume 16, pp 2824-2842; https://doi.org/10.3390/jtaer16070155

Abstract:
Because of the risks existing in supply chain finance, taking accounts receivable factoring business as the research object, this paper uses the evolutionary game method to analyzes the factors affecting the decision-making of the participants in supply chain finance, constructs an evolutionary game model between small and medium-sized enterprises and financial institutions, and analyzes the mechanism of blockchain to solve the financial risks of the supply chain by comparing the changes of evolutionary stability strategies before and after the introduction of blockchain technology. This paper aims to reduce financing risks by analyzing the mechanism of blockchain technology in supply chain finance. It is found that, firstly, blockchain technology can reduce the credit risk of financial institutions and solve financing problem. Credit risk plays a decisive role in whether financial institutions accept financing business decisions. Blockchain technology can reduce the operational risk of financial institutions and improve the business income of financial institutions. Secondly, the strict regulatory environment formed by blockchain technology makes the default behavior of small and medium-sized enterprises and core enterprises in a high-risk state at all times. No matter the profit distribution proportion that small and medium-sized enterprises can obtain through collusion, they will not choose to default, which effectively solves the paradox that small and medium-sized enterprises cannot obtain loans from financial institutions despite the increased probability of compliance. Then, the evolutionary game between financial institutions and small and medium-sized enterprises is balanced in that financial institutions accept business applications, small and medium-sized enterprises abide by the contract, and the convergence effect is better. Therefore, blockchain technology not only reduces the financing risk of financial institutions but also helps to solve the financing problems of small and medium-sized enterprises.
Journal of Theoretical and Applied Electronic Commerce Research, Volume 16, pp 2843-2857; https://doi.org/10.3390/jtaer16070156

Abstract:
The current pandemic crisis, which is far from being over, has led to a significant paradigm shift in economics. In a turbulent environment in which the labor market has encountered a long series of changes generated by the processes of automation, robotization and digitalization, the COVID-19 pandemic has revealed that a workforce with digital skills can quickly adjust to new circumstances. Since novel issues, such as restrictions on internal movement and distorted supply chains, put major stress on the labor market, it seems that there is an urgent need for reshaping economies and following up-to-date technological trends. Moreover, prior to the COVID-19 pandemic, a significant number of scholars and policymakers expressed their concerns about the volatility of employment and the weak ability of labor to adapt to new types of jobs. Within this framework, our paper aims to analyze the plausible impacts of digital efficiency on the future development of the labor market. Based upon the assumption that employment is facing ongoing challenges and the labor market is constantly being reshaped by technological trends, our study attempts to provide a pragmatic analysis of the effects of digital skills and the use of the Internet on salaries and wages in EU member states. Since, according to our results, the levels of salaries and wages are strongly correlated with digital proficiency and Internet usage, a consistent effort to increase the digital skills of individuals may be required to achieve a more effective and flexible labor market.
Journal of Theoretical and Applied Electronic Commerce Research, Volume 16, pp 2808-2823; https://doi.org/10.3390/jtaer16070154

Abstract:
Globally, governments implemented several quarantine periods to attempt to slow the spread of the COVID-19 virus. As a result, people were unable to carry out their daily activities in person, and many began to undertake activities online. Gyms and sports schools were among the economic sectors that were required to physically close their operations at the beginning of these quarantines. Thus, many people stopped exercising and turned to social networks as a form of entertainment. The aim of this study was to demonstrate how consumers found a new form of entertainment in the social networks of gyms and sports schools, which allowed them to be entertained and perform physical exercise at home. In this manner, consumers generated an e-loyalty towards the social networks of the gyms that they previously frequented physically. Thus, based on the e-loyalty of their social networks, gyms were able to identify a mechanism that enabled them to approach their consumers and continue offering a variety of products and services online, taking into account the context of COVID-19.
Journal of Theoretical and Applied Electronic Commerce Research, Volume 16, pp 2793-2807; https://doi.org/10.3390/jtaer16070153

Abstract:
This study aims to assess the effect of online reviews on online book sales performance in the Indian context. A sales rank was used as a proxy measure for sales. The total sample size was 2028 books from the ‘bestseller’ and ‘recent’ book categories on Amazon.in. Cross-sectional analysis and difference-in-difference analysis approaches were adopted for data analysis. The results revealed that online reviews shared by the Indian consumers impact books sales, as the consumers prefer to analyze the books on the basis of available online reviews before making their purchase decision. Overall, the results indicated that reviews had a positive impact on the sales in both book categories.
Journal of Theoretical and Applied Electronic Commerce Research, Volume 16, pp 2768-2792; https://doi.org/10.3390/jtaer16070152

Abstract:
Bitcoin, a decentralized cryptocurrency, has not only given rise to a wave of digital innovations but also stirred up considerable controversy. Some have hailed it as the most significant innovation since the Internet, while others have dismissed it as a Ponzi scheme that should be abandoned and forbidden. Regardless of these varying views, this is an innovation in need of scrutiny. In this paper we present a metastory of Bitcoin, based on an interpretative study of 737 news articles between 2011–2019. Through our analysis, we identified five narratives, including The Dark Side, The Bright Side, The Tulip Mania, The Idea, and The Normality. Our analysis demonstrates the interpretive flexibility of technology as influenced by ideologies, and we construct a theoretical model demonstrating media’s role as constructor and conduit. The metastory provides an institutional look at the broader interpretations of digital innovations as well as the multifaceted nature of digital innovations and how their interpretation evolve over time.
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