Informed Consent to Address Trust, Control, and Privacy Concerns in User Profiling

More and more, services and products are being personalised or\ud tailored, based on user-related data stored in so called user profiles or user\ud models. Although user profiling offers great benefits for both organisations and\ud users, there are several psychological factors hindering the potential success of user profiling. The most important factors are trust, control and privacy\ud concerns. This paper presents informed consent as a means to address the\ud hurdles trust, control, and privacy concerns pose to user profiling

Increasing online shop revenues with web scraping: a case study for the wine sector

Purpose – Wine has been produced for thousands of years and nowadays we have seen a spread in the wine culture. E-commerce sales of wine have increased considerably and online customer’s satisfaction is influenced by quality and price. This paper presents a case study of the company “QuieroVinos, S.L.”, an online wine shop founded in 2015 that sells Spanish wines in two main marketplaces. Design/methodology/approach – With the final target of increasing the company profits it has been designed and developed an application to track the prices of competitors for a set of products. This information will be used to set the product prices in order to offer the products both competitively and profitably in each Marketplace. This application must check, by tacking into account information such as the product cost or the minimum product margin, if it is possible to decrease the price in order to reach the top cheapest position and as a consequence, increase the sales. Findings – The application improved in a notorious way the company’s results in terms of sales and shipping costs. It must be said that without the use of the presented application, performing the price comparison process within each one of the marketplaces would have taken a long time. Moreover, as prices change very frequently, the obtained information has a very limited time value, and the competitors prices should be analyzed daily in order to take accurate decisions regarding the company’s price policy. Originality/value – Although the application has been designed for the wine sector and the two named marketplace, it could be exported to other sectors. For that, it should be implemented new modules to collect information regarding the competitor’s price of the products selling on each corresponding marketplaceThis work was supported by the Ministerio de Economía y Competitividad under contract TIN2017- 84553-C2-2-R. Also, the authors are members of the research group 2017-SGR363, funded by the Generalitat de Catalunya

Towards successful e-Payment systems: An empirical identification and analysis of critical factors

This research aims to explore the factors relating to e-payment system to be implemented where electronic processes enable the facilitation of online transactions. A secondary analysis revealed six factors which are argued to be ‘critical’ for customer adoption of these systems. The findings were further augmented by an online survey of 155 respondents where the perceived importance of the critical factors were correlated through: security, trust, perceived advantage, assurance seals, perceived risk and usability. The results demonstrate that three of the critical factors were necessary (security, advantage, web assurance seals) and three were relatively sufficient (perceived risk, trust and usability) through customer intentions to adopt an e-payment system. The study provides a valid overall awareness that these critical factors are important in designing a successful e-payment system

The impact of religious affiliation on trust in the context of electronic commerce

There is currently a growing literature on the role that trust plays in encouraging consumers to engage in e-commerce transactions. Various models have been proposed which aim to identify both the antecedents and outcomes of trust displayed towards e-commerce web sites. Increased trust is generally shown to increase positive user attitude which in turn is linked to increased willingness to buy. Studies have shown the antecedents of trust include variables such as the perceived reputation and size of the vendor organisation. The current paper explores the role of cultural variables as antecedents of trust with the main emphasis being on religious affiliation. Participants recruited from Christian, Muslim and other faiths were asked to interact with online bookstores identified as Christian, Muslim or Neutral. Trust and attitudes towards the web sites were measured and this data was used to test the hypothesis that same-religion sites would be trusted and liked more than other religion or neutral sites. This hypothesis was partially supported, but only for the Muslim participants. It was found that the Muslim group expressed significantly more trust in the Muslim site compared to the Christian site. They also expressed significantly more positive attitudes towards the Muslim online bookstore than the other two sites. The implications of these result for theories of web based trust and attitude are discussed along with the practical implications of the findings

Psychological reasons for consumer trust in e-retailing

This research in progress expands on existing research on e-retailing by examining the psychological factors that influence consumer trust in e-retailing. The psychological factors expected to influence trust are personality-based factors, perception-based factors, experience-based factors, knowledge-based factors and attitude. Hypotheses have been developed based on a thorough review of the trust literature. A pilot study has been conducted in the Netherlands and the results hereof are included in this paper.management information;

Lemons on the Web: A Signalling Approach to the Problem of Trust in Internet Commerce

Asymmetric information is at the heart of situations involving trust. In the case of B2C Internet commerce, the information asymmetry typically relates to the difficulty that consumers have of distinguishing between "trustworthy" and "untrustworthy" Web merchants. The impasse can be resolved by the use of signals by trustworthy Web merchants to differentiate themselves from untrustworthy ones. Using an experimental design where subjects are exposed to a series of purchase choices, we investigate three possible signals, an unconditional money-back guarantee, branding, and privacy statement, and test their efficacy. Our empirical results confirm the predictions suggested by signalling theory.trust (social behaviour), consumer behaviour

Thirdparty recognition, perceived product related risk, and perceived ease of use among online consumer trust: The moderating role of internet experience

To investigate impact of perceived ease of use, third-party assurance seal and financial risk on online consumer trust, is the primary goal of this research. This impact is investigated through the moderating influence of internet experience. The data was collected from 307 students from three universities namely UUM, UniMap and USM. This study employed Partial Least Squares Structural equation modeling (PLS-SEM) as the major analysis technique, as PLS SEM is comparatively new analytical technique in construction. Before testing the model, systematic procedures to find the validity and reliability of the outer model were followed as it is the standard of SEM data analysis reporting. As the measurement model has been termed as valid and reliable, it further tests the hypothesized relationships. Prior to examining the hypothesized relationships, the predictive authority of the model was observed and described the goodness and verification of the overall model. After that, the structural model was analyzed and the results were reported in details. As shown in Table 4.10, the hypotheses of H₁, H₃, and H₄, were statistically confirmed with the findings of the study while H2 was not assisted. Similarly, hypotheses of moderation effect, H₅, and H₇ were also not supported whereas H₆ was supported according to the method of Baron and Kenny (1986). The study concludes with some recommendations that can be used to guide the online retailers in managing their stores' service quality and loyalt

Mining social network data for personalisation and privacy concerns: A case study of Facebook’s Beacon

This is the post-print version of the final published paper that is available from the link below.The popular success of online social networking sites (SNS) such as Facebook is a hugely tempting resource of data mining for businesses engaged in personalised marketing. The use of personal information, willingly shared between online friends' networks intuitively appears to be a natural extension of current advertising strategies such as word-of-mouth and viral marketing. However, the use of SNS data for personalised marketing has provoked outrage amongst SNS users and radically highlighted the issue of privacy concern. This paper inverts the traditional approach to personalisation by conceptualising the limits of data mining in social networks using privacy concern as the guide. A qualitative investigation of 95 blogs containing 568 comments was collected during the failed launch of Beacon, a third party marketing initiative by Facebook. Thematic analysis resulted in the development of taxonomy of privacy concerns which offers a concrete means for online businesses to better understand SNS business landscape - especially with regard to the limits of the use and acceptance of personalised marketing in social networks