Scielo RSS <![CDATA[Journal of theoretical and applied electronic commerce research]]> vol. 12 num. 1 lang. en <![CDATA[SciELO Logo]]> <![CDATA[<strong>Editorial</strong>: <strong>What Can We Expect from Data Scientists</strong>]]> <![CDATA[<strong>Exploratory Study on Anchoring</strong>: <strong>Fake Vote Counts in Consumer Reviews Affect Judgments of Information Quality</strong>]]> Popular products in online stores often have overwhelming numbers of reviews. To help consumers identity quality reviews, (Site 1) crowdsources this decision by asking consumers to vote on the helpfulness of reviews. Many studies assume these votes reflect the information quality of a review, but this does not account for the influence of fake votes. This study investigates whether fake votes influence judgments of review information quality. From controlled questionnaires given to 294 consumers, we found that fake vote counts could completely reverse judgments of information quality in both directions. Specifically, fake votes affected consumers' processes of purchase decision-making and product research. Overall, fake votes changed both review judgments and purchase behaviors. <![CDATA[<strong>Evaluating the Quality of Open Data Portals on the National Level</strong>]]> Over the last few years, governments worldwide have started to develop and implement open data initiatives to enable the release of government data in open and reusable formats without restriction or charge for their use by society. As a result, a large number of open data repositories, catalogues and portals have been emerging in the world. The efficient development of open data portals makes it necessary to evaluate their quality systematic, in order to understand them better and assess the various types of value they generate. Citizens also expect data disclosed by official authorities to have quality in the sense that they are official data and therefore should be accurate and reliable. Consequently, the aim of this paper is to examine and compare the quality of these portals. For this purpose, a benchmarking framework is proposed and validated to evaluate the quality of open data portals on the national level. The results obtained show that the number of datasets online and the sophistication of open data portals and their functions differ, reflecting the lack of harmonization and the need for quality standards. In particular, the United Kingdom, India and the United States have published many datasets and launched advanced portals. <![CDATA[<strong>Security of Smart Banking Applications in Slovakia</strong>]]> High growth of smartphones and tablets usage has brought enormous rise in the use of newer form of electronic banking - Smart Banking, nowadays. This form of e-banking is suitable for small businessmen or private usage and its usage increases with the rise of popularity of mobile phones with operation systems. Transmitted information is more sensitive and related to financial transactions in e-commerce or communication between the client and the bank. There is an extremely important question of security hidden on the background of these applications. Is the security of distributed Smart Banking applications in Slovakia sufficient? How secure are these applications and which features may influence the security of these applications. The aim of the paper is to analyze the security of Smart Banking applications distributed by Slovak banks. The outcomes of our research are the specifications of parameters which affects the security of these applications. We also suggest a methodology for comparison of Smart banking applications depending on these parameters and for comparison of particular analyzed Smart Banking applications of Slovak banks which are used by the majority of Slovak clients. <![CDATA[<strong>Intentions to Use the Yelp Review Website and Purchase Behavior after Reading Reviews</strong>]]> Yelp is a popular online consumer review website. The limited scholarly literature on Yelp indicates that under certain conditions consumers will value the review and recommend the reviewed vendor to others. We study a number of variables to determine associations with intentions to use Yelp and also behavior of use of a service or purchase of a product after reading Yelp reviews. College students (n=617) were surveyed about demographics, trust, knowledge about online review fraud, and Internet experience. Our results found that increased brand trust and increased number of reviews read were each associated with both increased intentions and behavior. Correct knowledge of online review fraud and those who previously wrote Yelp reviews were each associated with increased behavior. We recommend that companies can benefit by claiming the website of their company on Yelp. Brand managers or e-commerce managers should respond to the negative reviews posted on Yelp in order to reassure those who read the reviews about the trustworthiness of the company. Companies should consider trust-building approaches when responding to negative comments to reassure the consumer that the company is a reputable company and would not engage in fraudulent practices of posting fraudulent positive reviews. <![CDATA[<strong>A Quantitative Analysis on E-Books Sampling Optimization</strong>]]> E-book sales have seen a slow growth in recent years. A major issue is how to attract consumers and promote sales. Motivated by the marketing strategy of free sampling, retailers start to offer free partial sampling of e-books. We propose a quantitative model for retailers to optimize the selection of e-books for sampling in their promotion campaign with a limited budget. Simulation-based numerical analysis shows that our model increases retailers' profit by around 8% when the free partial sampling strategy can double the e-book demand. We also develop a dynamic programming model to help retailers better utilize a budget in relatively long period of time. An experiment analysis reflects an improvement of retailer's profit of around 7%. Our model can be extended to other information goods such as digital music, video, and newspaper.