Next Issue
Volume 14, January
Previous Issue
Volume 13, May
Journal of Theoretical and Applied Electronic Commerce Research is published by MDPI from Volume 16 Issue 3 (2021). Previous articles were published by another publisher in Open Access under a CC-BY 3.0 licence, and they are hosted by MDPI on mdpi.com as a courtesy and upon agreement with Faculty of Engineering of the Universidad de Talca.

J. Theor. Appl. Electron. Commer. Res., Volume 13, Issue 3 (September 2018) – 6 articles

  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list.
  • You may sign up for e-mail alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Readerexternal link to open them.
Order results
Result details
Select all
Export citation of selected articles as:
Open AccessArticle
Influencing Factors Analysis for a Social Network Web Based Payment Service in China
J. Theor. Appl. Electron. Commer. Res. 2018, 13(3), 99-113; https://doi.org/10.4067/S0718-18762018000300106 (registering DOI) - 01 Sep 2018
Cited by 6 | Viewed by 81
Abstract
WeChat payment has recently become a popular mobile payment service in China by bundling with WeChat, the most popular social network service in China. It is interesting to investigate the reasons for its popularity. In this research, we applied the technology acceptance model [...] Read more.
WeChat payment has recently become a popular mobile payment service in China by bundling with WeChat, the most popular social network service in China. It is interesting to investigate the reasons for its popularity. In this research, we applied the technology acceptance model to predict its acceptability and to identify variables attributing to its popularity. In addition to the primary explanatory variables, i.e., Perceived Ease of Use and Perceived Usefulness, the proposed framework is further extended to include the constructs of Social Interaction, Trust, Perceived Enjoyment and Use Context. The results indicated that the proposed model is able to explain the variance in a user’s intention to use WeChat payment service. We hope this study can provide insights into understanding the adoption behaviour of socially aware mobile payment services. Full article
Open AccessArticle
The Collaborative Economy Based Analysis of Demand: Study of Airbnb Case in Spain and Portugal
J. Theor. Appl. Electron. Commer. Res. 2018, 13(3), 85-98; https://doi.org/10.4067/S0718-18762018000300105 (registering DOI) - 01 Sep 2018
Cited by 23 | Viewed by 82
Abstract
The rise of the collaborative economy has just started to become a reality in the economy of the countries in the European Union. The aim of this article is to use Goal - Question - Metric methodology to verify that the rise of [...] Read more.
The rise of the collaborative economy has just started to become a reality in the economy of the countries in the European Union. The aim of this article is to use Goal - Question - Metric methodology to verify that the rise of Internet searches has an impact on collaborative economy. Specifically, Airbnb was the collaborative economy service analyzed. The demonstration was carried out with a statistical analysis of the Internet searches, looking at their evolution in Spain, Portugal and USA over the past 10 years. A working hypothesis was also defined to test whether the demand for information about Airbnb has a positive influence on the total spending of tourists who booked apartments in Spain during the period between July 2015 and August 2016. The results lead us to make a projection of growth for Airbnb service in the coming years. The case studied is very representative of this economic model, even though there is a large number of lesser-known websites. Finally, the results corroborate previous studies that defend that tools for studying trends and correlations of search terms are techniques that help decision making in studies and market research. Full article
Open AccessArticle
Social Agents to Enable Pervasive Social Networking Services
J. Theor. Appl. Electron. Commer. Res. 2018, 13(3), 50-84; https://doi.org/10.4067/S0718-18762018000300104 (registering DOI) - 01 Sep 2018
Cited by 1 | Viewed by 75
Abstract
Over the past decade, the way people communicate, share content and eventually conduct business has been disrupted by social networking platforms. By bringing together pervasive social computing with social networking under a common modelling methodology and common social rules based on human activities [...] Read more.
Over the past decade, the way people communicate, share content and eventually conduct business has been disrupted by social networking platforms. By bringing together pervasive social computing with social networking under a common modelling methodology and common social rules based on human activities in accordance with the Activity Theory, our work aims at contributing to the standardisation of the Social Web in a way that is independent from proprietary solutions, interoperable and semantically rich for applications beyond social networking. The concept of a Social Agent is introduced as a set of micro-services to handle digital traces of human activities for further analysis, respecting both users’ privacy and the business models of companies that build personalised services or applications in the web. In this paper, the landscape of social networking, social pervasive computing and social agency is presented in detail, the research questions driving our work are explained and the fundamentals of a Social Agent along with the pervasive social network it may build are set. A quantitative evaluation based on the Technology Acceptance Model methodology is implemented on a sample of 200 interviewees, evaluating the concepts of the Social Agent, while its technical feasibility is proven and presented through a prototype. Full article
Open AccessArticle
A Run-Time Algorithm for Detecting Shill Bidding in Online Auctions
J. Theor. Appl. Electron. Commer. Res. 2018, 13(3), 17-49; https://doi.org/10.4067/S0718-18762018000300103 (registering DOI) - 01 Sep 2018
Cited by 3 | Viewed by 62
Abstract
Online auctions are a popular and convenient way to engage in ecommerce. However, the amount of auction fraud has increased with the rapid surge of users participating in online auctions. Shill bidding is the most prominent type of auction fraud where a seller [...] Read more.
Online auctions are a popular and convenient way to engage in ecommerce. However, the amount of auction fraud has increased with the rapid surge of users participating in online auctions. Shill bidding is the most prominent type of auction fraud where a seller submits bids to inflate the price of the item without the intention of winning. Mechanisms have been proposed to detect shill bidding once an auction has finished. However, if the shill bidder is not detected during the auction, an innocent bidder can potentially be cheated by the end of the auction. Therefore, it is essential to detect and verify shill bidding in a running auction and take necessary intervention steps accordingly. This paper proposes a run-time statistical algorithm, referred to as the Live Shill Score, for detecting shill bidding in online auctions and takes appropriate actions towards the suspected shill bidders (e.g., issue a warning message, suspend the auction, etc.). The Live Shill Score algorithm also uses a Post-Filtering Process to avoid misclassification of innocent bidders. Experimental results using both simulated and commercial auction data show that our proposed algorithm can potentially detect shill bidding attempts before an auction ends. Full article
Open AccessArticle
Managers/Owners’ Innovativeness and Electronic Commerce Acceptance in Chilean SMEs: A Multi-Group Analysis Based on a Structural Equation Model
J. Theor. Appl. Electron. Commer. Res. 2018, 13(3), 1-16; https://doi.org/10.4067/S0718-18762018000300102 (registering DOI) - 01 Sep 2018
Cited by 10 | Viewed by 74
Abstract
The aim of this paper is to study differences in the adoption of e-commerce associated with the level of managers/owners’ innovativeness. The background utilized to estimate the respondents’ favorable reception of e-commerce is a model based on the Theory of Planned Behavior, which [...] Read more.
The aim of this paper is to study differences in the adoption of e-commerce associated with the level of managers/owners’ innovativeness. The background utilized to estimate the respondents’ favorable reception of e-commerce is a model based on the Theory of Planned Behavior, which has been extended to include perceived drivers and obstacles as antecedents of attitude toward e-commerce acceptance. Small and medium enterprises in Chile participated in the study. A Partial Least Squares multi-group test was employed to note differences between groups. The main conclusions of the study are: (1) the level of managers/owners’ innovativeness differentiates between adopters and non-adopters of e-commerce of small and medium enterprises in Chile; (2) the Theory of Planned Behavior has been successfully used to explain the process of adoption of e-commerce among Chilean managers/owners; (3) there are significant relationships between both drivers and obstacles and attitude toward using e-commerce; (4) a strong and significant relationship exists between attitude and intention to use e-commerce. Results can be used by small and medium enterprises in developing countries to boost e-commerce adoption. Full article
Open AccessEditorial
Editorial: Journal of Theoretical and Applied Electronic Commerce Research - CiteScore Metric from Scopus
J. Theor. Appl. Electron. Commer. Res. 2018, 13(3), I-II; https://doi.org/10.4067/S0718-18762018000300101 (registering DOI) - 01 Sep 2018
Cited by 1 | Viewed by 80
Abstract
This is the third issue of the thirteenth volume of the Journal of Theoretical and Applied Electronic Commerce Research (JTAER). [...] Full article
Previous Issue
Next Issue
Back to TopTop