El valor percibido en webs de social commerce: Efectos sobre la lealtad del consumidor.

El estudio del comportamiento del consumidor en webs de social commerce está en auge, debido al gran crecimiento del sector en los últimos años. A pesar de ello, su comprensión se encuentra en su infancia, debido a la multitud de factores influyentes. Esta investigación, a través de la metodología del estímulo-organismo-respuesta, estudia qué papel tiene el valor percibido (O) por el consumidor, mediante el análisis de dos de sus principales antecedentes (calidad del sistema y del servicio) (S), así como de sus efectos sobre la lealtad (R). Los resultados obtenidos a partir de la aplicación de la técnica PLS a una muestra de 272 consumidores habituales de estas webs ponen de manifiesto la gran importancia que la calidad de la web tiene en la generación de valor en el consumidor, así como el rol clave de éste sobre las intenciones del consumidor tanto para volver a comprar como para recomendar.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

The 4s web-marketing mix model

This paper reviews the criticism on the 4Ps Marketing Mix framework, the most popular tool of traditional marketing management, and categorizes the main objections of using the model as the foundation of physical marketing. It argues that applying the traditional approach, based on the 4Ps paradigm, is also a poor choice in the case of virtual marketing and identifies two main limitations of the framework in online environments: the drastically diminished role of the Ps and the lack of any strategic elements in the model. Next to identifying the critical factors of the Web marketing, the paper argues that the basis for successful E-Commerce is the full integration of the virtual activities into the company’s physical strategy, marketing plan and organisational processes. The four S elements of the Web-Marketing Mix framework present a sound and functional conceptual basis for designing, developing and commercialising Business-to-Consumer online projects. The model was originally developed for educational purposes and has been tested and refined by means of field projects; two of them are presented as case studies in the paper.\ud \u

A lattice framework for pricing display advertisement options with the stochastic volatility underlying model

Advertisement (abbreviated ad) options are a recent development in online advertising. Simply, an ad option is a first look contract in which a publisher or search engine grants an advertiser a right but not obligation to enter into transactions to purchase impressions or clicks from a specific ad slot at a pre-specified price on a specific delivery date. Such a structure provides advertisers with more flexibility of their guaranteed deliveries. The valuation of ad options is an important topic and previous studies on ad options pricing have been mostly restricted to the situations where the underlying prices follow a geometric Brownian motion (GBM). This assumption is reasonable for sponsored search; however, some studies have also indicated that it is not valid for display advertising. In this paper, we address this issue by employing a stochastic volatility (SV) model and discuss a lattice framework to approximate the proposed SV model in option pricing. Our developments are validated by experiments with real advertising data: (i) we find that the SV model has a better fitness over the GBM model; (ii) we validate the proposed lattice model via two sequential Monte Carlo simulation methods; (iii) we demonstrate that advertisers are able to flexibly manage their guaranteed deliveries by using the proposed options, and publishers can have an increased revenue when some of their inventories are sold via ad options.Comment: Bowei Chen and Jun Wang. A lattice framework for pricing display advertisement options with the stochastic volatility underlying model. Electronic Commerce Research and Applications, 2015, Volume 14, Issue 6, pages 465-479, ISSN: 1567-422

The role of social effects and perceived risk in driving profitable online customer interactions

The emergence of online channels has been of special relevance, as it has promoted a more active participation of consumers in the value creation process. In this study, we draw from the Stimulus-Organism-Response model to provide a theoretical understanding of the role played by two critical factors that drive online customer initiated interactions (OnCICs): social effects and perceived risk. In addition, we also investigate their consequences by establishing a direct link between these interactions and customer profitability. Merging longitudinal objective data with subjective data for a sample of 1,990 customers in the financial services and applying Partial Least Squares (PLS), the results reveal that social effects influence perceived risk. Perceived risk consequently promotes the development of OnCICs, while social effects reduce the need for such interactions. In addition, OnCICs help promote high-quality relationships and leads to higher performance

Evaluating trust in electronic commerce : a study based on the information provided on merchants' websites

Lack of trust has been identified as a major problem hampering the growth of Electronic Commerce (EC). It is reported by many studies that a large number of online shoppers abandon their transactions because they do not trust the website when they are asked to provide personal information. To support trust, we developed an information framework model based on research on EC trust. The model is based on the information a consumer expects to find on an EC website and that is shown from the literature to increase his/her trust towards online merchants. An information extraction system is then developed to help the user find this information. In this paper, we present the development of the information extraction system and its evaluation. This is then followed by a study looking at the use of the identified variables on a sample of EC websites

Análisis de la intención de realizar comercio social en webs con herramientas sociales

El comercio social, o comercio a través de los medios sociales (también conocido como social commerce) es una de las modalidades de comercio electrónico con mayor potencial de crecimiento. Sin embargo, su estudio aún es limitado, por lo que las dinámicas y elementos que afectan a la intención de realizar comercio social requieren de una mayor investigación. La bibliografía existente principalmente analiza la intención de los usuarios de practicar comercio social en una red social, pero no en una web de comercio electrónico que tenga sus propias herramientas sociales (p. ej. foros, valoraciones de productos, etc.). Por lo tanto, la presente investigación tiene como objetivo identificar los antecedentes de la intención de comercio social en webs de comercio electrónico en las que se emplean herramientas sociales. A partir de la revisión de la literatura, se desarrolla un modelo para analizar la influencia de cinco posibles antecedentes de la intención de comercio social: calidad de la web, apoyo social emocional, apoyo social informativo, presencia social e inmersión o flow. Para ello, se realizó un estudio empírico entre los usuarios de una web de comercio electrónico que cuenta con un sistema de valoración, comentarios de productos y foros. Los datos se obtuvieron a partir de una encuesta realizada a 200 compradores, y fueron analizados mediante la técnica PLS. Los resultados indican que los elementos más racionales y emocionales de la experiencia del usuario, como son la calidad del sitio web, flow y el apoyo social emocional, son los que motivan la compra; mientras que la presencia social y el apoyo social informativo, no son significativos. Este estudio contribuye a la teoría del comportamiento del consumidor al aplicar variables predictivas de la intención de comercio social a webs con herramientas sociales. Además, los resultados ayudan a los profesionales del comercio electrónico a mejorar el uso que hacen de las herramientas sociales.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Fairs for e-commerce: the benefits of aggregating buyers and sellers

In recent years, many new and interesting models of successful online business have been developed. Many of these are based on the competition between users, such as online auctions, where the product price is not fixed and tends to rise. Other models, including group-buying, are based on cooperation between users, characterized by a dynamic price of the product that tends to go down. There is not yet a business model in which both sellers and buyers are grouped in order to negotiate on a specific product or service. The present study investigates a new extension of the group-buying model, called fair, which allows aggregation of demand and supply for price optimization, in a cooperative manner. Additionally, our system also aggregates products and destinations for shipping optimization. We introduced the following new relevant input parameters in order to implement a double-side aggregation: (a) price-quantity curves provided by the seller; (b) waiting time, that is, the longer buyers wait, the greater discount they get; (c) payment time, which determines if the buyer pays before, during or after receiving the product; (d) the distance between the place where products are available and the place of shipment, provided in advance by the buyer or dynamically suggested by the system. To analyze the proposed model we implemented a system prototype and a simulator that allow to study effects of changing some input parameters. We analyzed the dynamic price model in fairs having one single seller and a combination of selected sellers. The results are very encouraging and motivate further investigation on this topic

Profiles of social networking sites users in the Netherlands

Online social networking has become a reality and integral part of the daily personal, social and business life. The extraordinary increase of the user numbers of Social Networking Sites (SNS) and the rampant creation of online communities presents businesses with many challenges and opportunities. From the commercial perspective, the SNS are an interesting and promising field: online social networks are important sources of market intelligence and also offer interesting options for co-operation, networking and marketing. For SMEs especially the Social Networking Sites represent a simple and low cost solution for listening the customer’s voice, reaching potential customers and creating extensive business networks. This paper presents the results of a national survey mapping the demographic, social and behavioral characteristics of the Dutch users of SNS. The study identifies four different user profiles and proposes a segmentation framework as basis for better understanding the nature and behavior of the participants in online communities. The findings present new insights to marketing strategists eager to use the communication potential of such communities; the findings are also interesting for businesses willing to explore the potential of online networking as a low cost yet very efficient alternative to physical, traditional networking