Journal of Theoretical and Applied Electronic Commerce Research

716 KiB

Open AccessArticle

Using Online User-Generated Reviews to Predict Offline Box-Office Sales and Online DVD Store Sales in the O2O Era

by Chieh Lee, Xun Xu and Chia-Chun Lin

J. Theor. Appl. Electron. Commer. Res. 2019, 14(1), 68-83; https://doi.org/10.4067/S0718-18762019000100106 - 01 Jan 2019

Cited by 19 | Viewed by 959

Abstract

With the rapid growth of e-commerce and social media, customers post online reviews on various online shopping websites and social media after their consumption experience, which generated the electronic word of mouth effect. In the online-to-offline era, companies are using multi-channels to increase customer demand, and the Effect generated by online users’ reviews plays an important role in customer demand both online and offline. Few previous studies focused on using online user-generated reviews to forecast the demand of hyper-differentiated products online and offline, which is particularly hard to predict due to the various preferences of customers and complex relationship between factors. Via predictive global sensitivity analysis, this study uses online user-generated reviews posted on social media to predict customers’ demand for hyper-differentiated products both online and offline, with an example in the film industry. We generate forecasting equations, which can successfully predict movie box office and online DVD store sales. The effectiveness and reliability of our approach are proved by the numerical studies of 22 randomly selected movies. Managers can use our method to access and analyze online users’ review data and forecast future online and offline product sales Full article

558 KiB

Open AccessArticle

Revealing the Black Box of Shifting from Electronic Commerce to Mobile Commerce: The Case of Jordan

by Ahmad Samed Al-Adwan, Mohammad Alrousan, Anas Al-Soud and Hussein Al-Yaseen

J. Theor. Appl. Electron. Commer. Res. 2019, 14(1), 51-67; https://doi.org/10.4067/S0718-18762019000100105 - 01 Jan 2019

Cited by 40 | Viewed by 1357

Abstract

Mobile computing and the wireless web are likely to become the next major business models following the era of electronic commerce. In particular, rapid growth and the advancement in mobile technologies indicate that mobile commerce (m-commerce) will be the dominant business model in the future. In developing countries, services in mobile commerce are in a phase of rapid growth, yet the relevant research is limited. Thus, to increase the adoption of m-commerce among consumers in developing countries such as Jordan, the current study develops a model of consumers’ intentions to transfer from traditional (internet-based) e-commerce to m-commerce. The proposed model was empirically validated using a total of 451 paper-based questionnaires that were collected from undergraduate students at three private Jordanian universities. The reliability and validity of the structural model were evaluated by performing exploratory and confirmatory factor analyses, while the structural model was assessed by employing the structural equation modelling approach. The findings demonstrate that consumers’ intention to shift from traditional e-commerce to m-commerce can be explained by factors related to perceived differences in technology and value. The research model offers useful and insightful information to help practitioners and developers focus their efforts in designing and delivering effective m-commerce applications. Full article

636 KiB

Open AccessArticle

Drivers of E-Business Diffusion in Tourism: A Decision Tree Approach

by Biljana Rondović, Tamara Djuričković and Ljiljana Kašćelan

J. Theor. Appl. Electron. Commer. Res. 2019, 14(1), 30-50; https://doi.org/10.4067/S0718-18762019000100104 - 01 Jan 2019

Cited by 20 | Viewed by 1022

Abstract

The aim of this paper is to examine the individual and interactive influence of organizational, technical and environmental factors on the diffusion of e-business in Montenegrin tourism organizations. In accordance with this goal a decision tree method is used in this paper. The results showed that organizational factors have the highest individual impact on e-business diffusion and that there is a strong interactive influence of organizational, information technology integration and external support factors. The obtained results provide important information for management and decision-making in conditions when diffusion of information technology innovation needs to be accelerated in such a way that instead of influencing only one group of factors, it affects several factors simultaneously which, in interaction with one another, lead to a greater degree of e-business diffusion. Full article

513 KiB

Open AccessArticle

Personality-Based Personalization of Online Store Features Using Genetic Programming: Analysis and Experiment

by Alireza Kazeminia, Marjan Kaedi and Beenazir Ganji

J. Theor. Appl. Electron. Commer. Res. 2019, 14(1), 16-29; https://doi.org/10.4067/S0718-18762019000100103 - 01 Jan 2019

Cited by 14 | Viewed by 885

Abstract

The decisions made by the customers in online environments are influenced by their personality characteristics. Each customer in an online environment relies more heavily on certain features of a store to make decisions while ignoring others. Thus, personalizing these features may streamline the decision-making process and increase satisfaction. In this paper, an intelligent method for personalizing the features of an online store according to the users’ personality is presented. In the proposed method, using genetic programming several equations are developed to estimate how users with different personality characteristics prefer various features of an online store. These equations are then used for personalization of the store features to increase customers’ satisfaction and persuade them to make larger purchases. The evaluation on a sample of 194 individuals indicates that the obtained equations are able to estimate the user’s preferences with over 80% accuracy in most cases. In addition, empirical assessment of the obtained equations shows that the proposed personalization method improves the user satisfaction. Full article

392 KiB

Open AccessArticle

The Influence of Online Shopping Values and Web Atmospheric Cues on E-Loyalty: Mediating Role of E-Satisfaction

by Sai T Vijay, Sanjeev Prashar and Vinita Sahay

J. Theor. Appl. Electron. Commer. Res. 2019, 14(1), 1-15; https://doi.org/10.4067/S0718-18762019000100102 - 01 Jan 2019

Cited by 52 | Viewed by 3551

Abstract

An exponential growth in the Indian e-commerce sector has attracted many national and international online retailers. Besides, price and promotional schemes, these e-retailers use website features - informativeness, entertainment and effectiveness of content, to differentiate from other players. This paper attempts to decipher the influence of hedonic and utilitarian shopping values and web atmospheric cues on e-satisfaction. From the survey findings, it is observed that web cues have greater influence in shaping e-satisfaction. Further, within the input variables effectiveness of information content has the largest influence on e-satisfaction. The study also highlights the importance of mediating role of e-satisfaction between shopping values, website features and e-loyalty. The paper suggests select marketing strategies for e-retailers. Full article

255 KiB

Open AccessEditorial

Editorial: Industry 4.0 Challenges for Business Process Management and Electronic-Commerce

by Bernhard Hitpass and Hernán Astudillo

J. Theor. Appl. Electron. Commer. Res. 2019, 14(1), I-III; https://doi.org/10.4067/S0718-18762019000100101 - 01 Jan 2019

Cited by 33 | Viewed by 671

Abstract

No one can deny that we are now facing a process of digital transformation transition to digitalization in nearly all the services of our globalized economy. […] Full article

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J. Theor. Appl. Electron. Commer. Res., Volume 14, Issue 1 (January 2019) – 6 articles

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