Scielo RSS <![CDATA[Journal of theoretical and applied electronic commerce research]]> vol. 12 num. 2 lang. es <![CDATA[SciELO Logo]]> <![CDATA[<strong>Journal of Theoretical and Applied Electronic Commerce Research is Now Included in the Social Science Citation Index</strong>]]> <![CDATA[<strong>Customer Behavior in Electronic Commerce</strong>: <strong>A Bayesian Approach</strong>]]> Online shopping has increasingly replaced traditional retail shopping, as a large number of consumers have adopted it on a global scale. However, while it is well established in developed countries, e-commerce is still at an early stage in emerging markets, hence there is a need to unveil which factors contributes to its adoption. The main objective of this study is to integrate the theory of planned behavior, the theory of reasoned action, and the technology acceptance model using a Bayesian approach to determine the key predictors of online purchase intention among internet users in Colombia. The results demonstrate the pertinence of the theory of reasoned action and technology acceptance model, models to explain online purchase intention, confirming that the intention to purchase online is mostly determined by the attitudes to e-commerce which, in turn, are explained by perceived usefulness, perceived ease of use, and the subjective norm related to online shopping. <![CDATA[<strong>Designing Two-dimensional Electronic Business-to-Consumer Models’ Map by Fuzzy Delphi Panel</strong>]]> Various electronic business-to-consumer models have been presented during the past years with different classifications. Each of these models has different dimensions. This paper uses expert knowledge to identify two key dimensions of business to customer models. Each researcher has his own list of business-to-consumer models, and there are differences in the existing lists. In this paper, some appropriate models are identified through interview with experts and fuzzy Delphi method for launching a business. The positions of these models are determined in terms of identified aspects then. Based on the obtained results, ten electronic business-to-consumer models were specified and the dimensions of the type of product and the type of financial relationship with the customer were determined to provide two-dimensional map. Then using fuzzy Delphi method, the position of these models in two-dimensional map was identified. <![CDATA[<strong>Barriers of Mobile Commerce Adoption Intention</strong>: <strong>Perceptions of Generation X in Malaysia</strong>]]> Many telecommunication companies in Malaysia have been attracted to invest significantly in the development of mobile commerce due to the explosive growth in the usage and market penetration of mobile devices. Eventhough generation X is characterized with high earning power, as they are reluctant on technological advancements, the mobile commerce adoption rate is remaining low in Malaysia. Therefore, this study is intended to explore the resistance factors to understand the reasons for this low adoption among generation X in Malaysia. Innovation Resistance Theory (IRT) and Valence Framework have been employed to examine the barriers, including usage, value, risk, tradition, image, and perceived cost barriers. The results of this study have been derived from data collected from 227 generation X consumers through questionnaire survey. The findings of this study show that, except the cost barrier, all other barriers significantly affect the mobile commerce adoption. These results enable local businesses to develop solutions to eliminate the resistance barriers and act as a means of understanding how to possibly enhance the rate of mobile commerce adoption in Malaysia. This research provides an extended Innovation Resistance Theory model by adding the perceived cost barrier construct, a negative valence factor, for the adoption intention of mobile commerce. <![CDATA[<strong>Online Sport Event Consumers</strong>: <strong>Attitude, E-Quality and E- Satisfaction</strong>]]> Sporting events attract millions of dollars in sponsorship and tourism, so a strong event brand is required. The event website quality is responsible for maintaining and attracting consumers and creating a positive attitude towards the brand. The purpose of this study was to examine key variables that affect the behavior of online sport event consumers. Specifically, it explores e-quality and e-satisfaction and how they influence the attitude towards the website and the brand. Structural equation model tests revealed that a positive quality can determine a positive attitude to the web site, even the consumer is not satisfied with it. On the other hand, the stakeholder needs to pay attention to maintain a high-quality web site if he wants to increase the attitude toward the brand to attract consumer to the sport event, because the event can generate revenue to the sponsors, cities and citizens. <![CDATA[<strong>The Value of Inventory Accuracy in Supply Chain Management </strong>: <strong>Case Study of the Yedioth Communication Press</strong>]]> Our work focuses on the quality information aspect of the inventory management domain of the supply chain in the organization. Within the scope of quality information we have concentrated upon the discrepancies known as inventory errors, which are the result of events that can be classified as one of the following three types: Shrinkage, Misplacement and Wrong Scanning [1]. These events lead to differences between inventory reflected in the IT system records and available inventory for sale. These discrepancies and/or their associated negative effects can be minimized should additional information be available. Our work explores four different models that operationally take the discrepancies into consideration in four different scenarios: (1) No Information Scenario, (2) Static Informed Scenario, (3) Informed Scenario, and (4) Full Information Scenario. The objective of our work is to explore and quantify the value of the additional information in Scenarios 2 - 4 compared to the No Information Scenario. We implemented an analytical model for each scenario, where the objective in all four scenarios is to minimize the average expected cost per period. Our findings indicate that additional information greatly influences optimal policies and, if exploited wisely, can save a great deal of money