The importance of trust in building and maintaining consumer relationships in the online environment is widely accepted in the Information Systems literature. A key challenge for researchers is to identify antecedent variables that engender consumer trust in Internet shopping. This paper adopts a multidisciplinary approach and develops an integrative model of consumer trust in Internet shopping through synthesizing the three diverse trust literatures. The social psychological perspective guides us to include perceived trustworthiness of Internet merchants as the key determinant of consumer trust in Internet shopping. The sociological viewpoint suggests the inclusion of legal framework and third-party recognition in the research model. The views of personality theorists postulate a direct effect of propensity to trust on consumer trust in Internet shopping. The results of this study provide strong support for the research model and research hypotheses, and the high explanatory power illustrates the complementarity of the three streams of research on trust. This paper contributes to the conceptual and empirical understanding of consumer trust in Internet shopping. Implications of this study are noteworthy for both researchers and practitioners.

This economic research paper describes how pricing algorithms are used by firms and explores whether, and under what conditions, the use of pricing algorithms could lead to competition concerns. 2. The paper was prompted by external debate about the role of algorithms in online markets. The main aim was to ensure that the CMA has a good understanding of the existing literature and evidence on the effects of competition on algorithms. We have also carried out a small amount of primary evidence gathering to fill some of the gaps in the literature. We have focused on economic rather than legal analysis. 3. We have found evidence of widespread use of algorithms to set prices particularly on online platforms. For example, many sellers on Amazon use pricing algorithms. As well as simple pricing rules provided by the platforms themselves, some third-party firms sell more sophisticated pricing algorithms to retailers or directly take on the role of pricing using computer models on behalf of their clients. 4. Algorithms can also allow firms to offer different prices to different consumers depending on the information they hold about them. We found limited evidence of this type of personalised pricing in practice, although algorithms are already used to personalize ranking, advertising and perhaps discounts. Increasing data availability, coupled with more sophisticated algorithms, can be expected to increase the scope for firms to engage in personalised pricing in future. 5. There are good reasons to think that the use of pricing algorithms can benefit consumers in many situations. For example, algorithms can reduce transaction costs for firms, reduce frictions in markets, and give consumers greater information on which to base their decisions. 6. A main concern expressed in the literature is that algorithms might facilitate collusive outcomes, leading to consumers paying higher prices. In practice, the concern about collusion covers a broad spectrum of different potential issues. It is important to distinguish between:

Abstract Small and medium enterprises (SMEs) are often the driving force driving the economy of the countries, however, are not always fully exploit its innovative and creative capacity because many of these companies do not know the tools for today gives us the technology, worse the benefits we provide social networks. The aim of this article is intended to discuss best practices in the use of social networks as strategic marketing communication in SMEs. The methodology used in the research is based on the analysis of the state of science, exploratory study on the use of social networks and case studies of success. As a result there are two contributions to the enrichment of scientific literature on the subject: i) identification of best practices in the use of social networks and, ii) social networking as a marketing strategy for SMEs. © 2014 The Authors. Published by Elsevier Ltd. Selection and/or peer-review under responsibility of The 2nd International Conference on Integrated Information. Keywords: Best practice; Social networks; SMEs 1. Introduction SMEs are often the driving force behind the economies of the countries, however, are not always fully exploit its innovative and creative capacity, because many of these companies are far from the technology, the Internet has brought a number of new opportunities, such as Online marketing that uses advertising mechanisms such as blogs, podcasts and social media to reach their consumers (Thach, L. 2009), through the web there is a possibility that users can interact and create communities (Túñez López., M., García, J. 2011). in this context, social networks are defined as bounded groups of individuals, organizations, communities or societies are linked, where members interact, discuss and exchange knowledge (Palacios N, Paíz, V., Padilla, M. 2005), on the other hand, defined as services based on the web that allow individuals to construct a public or semi-public within a bounded * Germán Narváez Vásquez. Tel. 52(443) 32216890 E-mail adress: این آدرس ایمیل توسط spambots حفاظت می شود. برای دیدن شما نیاز به جاوا اسکریپت دارید © 2014 Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/). Selection and peer-review under responsibility of the 2nd International Conference on Strategic Innovative Marketi