Structural equation modeling of eBankQual scale: a study of E-Banking in India

This study assesses the relationship between perceived quality, brand perception and perceived value with satisfaction. For the data analysis structural equation modeling (SEM) method and path analysis method were used. A result indicates that, eBankQual model is fit to assess relationship between service quality, brand perception and perceived value with overall customers’ satisfaction in e-banking service. Result of regression SEM indicates that, all 14 variables found significant and good predictors of overall satisfaction in e-banking services. However, result of SEM analysis indicates that, data supports to eBankQual model and dimensions Compensation, Convenience, Contact Facilities, Easy to Use, Responsiveness, Cost Effectiveness and System Availability including brand perception and perceived value were found more significant factors in the eBankQual model.Structural Equation Modeling, Service quality, Brand perception, Perceived value, Satisfaction

Improving social corporate responsibility : the case of bullying behavior

This article highlights moral harassment at the workplace as a form of corruption in organizations. This form of corruption has cost organizations billions of dollars each year. A theoretical model is presented in this paper, which explains the main factors that affect bullying processes impact on organizations. Suggestions are provided in this paper, as tools to eliminate bullying within the workplace

An efficient and versatile approach to trust and reputation using hierarchical Bayesian modelling

In many dynamic open systems, autonomous agents must interact with one another to achieve their goals. Such agents may be self-interested and, when trusted to perform an action, may betray that trust by not performing the action as required. Due to the scale and dynamism of these systems, agents will often need to interact with other agents with which they have little or no past experience. Each agent must therefore be capable of assessing and identifying reliable interaction partners, even if it has no personal experience with them. To this end, we present HABIT, a Hierarchical And Bayesian Inferred Trust model for assessing how much an agent should trust its peers based on direct and third party information. This model is robust in environments in which third party information is malicious, noisy, or otherwise inaccurate. Although existing approaches claim to achieve this, most rely on heuristics with little theoretical foundation. In contrast, HABIT is based exclusively on principled statistical techniques: it can cope with multiple discrete or continuous aspects of trustee behaviour; it does not restrict agents to using a single shared representation of behaviour; it can improve assessment by using any observed correlation between the behaviour of similar trustees or information sources; and it provides a pragmatic solution to the whitewasher problem (in which unreliable agents assume a new identity to avoid bad reputation). In this paper, we describe the theoretical aspects of HABIT, and present experimental results that demonstrate its ability to predict agent behaviour in both a simulated environment, and one based on data from a real-world webserver domain. In particular, these experiments show that HABIT can predict trustee performance based on multiple representations of behaviour, and is up to twice as accurate as BLADE, an existing state-of-the-art trust model that is both statistically principled and has been previously shown to outperform a number of other probabilistic trust models

From Personal Memories to Sharable Memories

The exchange of personal experiences is a way of supporting decision making and interpersonal communication. In this article, we discuss how augmented personal memories could be exploited in order to support such a sharing. We start with a brief summary of a system implementing an augmented memory for a single user. Then, we exploit results from interviews to define an example scenario involving sharable memories. This scenario serves as background for a discussion of various questions related to sharing memories and potential approaches to their solution. We especially focus on the selection of relevant experiences and sharing partners, sharing methods, and the configuration of those sharing methods by means of reflection

Knowledge management practices and the enhancement of customer capital: the importance of time

Actualmente, los responsables de las pequeñas y medianas empresas (PYMES) debido al hecho de tener que vigilar continuamente sus empresas a la búsqueda de mejoras en las relaciones con sus clientes y trabajadores, están otorgando un papel cada vez más estratégico a las prácticas de gestión del conocimiento. No obstante, hay situaciones donde las organizaciones y sus miembros se enfrentan a entornos cada vez más inciertos, por lo que es necesario reconsiderar las prácticas de gestión del conocimiento que se han venido desarrollando en la empresa desde sus inicios. Estas prácticas, en forma de procesos y rutinas, pueden basarse tanto en conocimiento tácito como explícito y también necesitan ser continuamente reconsideradas de cara a la captación de nuevo conocimiento. En tales circunstancias, sería necesario modificar e incluso eliminar parte del conocimiento existente al objeto de asegurarnos de que los empleados tienen acceso a conocimientos lo suficientemente actualizados como para que mantengan o garanticen las relaciones que las PYMEs tienen con sus clientes. Nuestro trabajo examina el impacto que un contexto de “mentalidad abierta” (openminded) en la organización existente en un momento dado (T) tiene sobre las actuaciones que intentan reconsiderar los conocimientos organizativos en un momento posterior (T+1). Analizamos además la relaciones entre los procesos de aprendizaje/conocimiento explorativo y aplicado sobre el capital relacional. Se utiliza para ello evidencias empíricas procedentes de 107 PYMES del sector de las telecomunicaciones en España, utilizando la técnica PLS.Actualmente, los responsables de las pequeñas y medianas empresas (PYMES) debido al hecho de tener que vigilar continuamente sus empresas a la búsqueda de mejoras en las relaciones con sus clientes y trabajadores, están otorgando un papel cada vez más estratégico a las prácticas de gestión del conocimiento. No obstante, hay situaciones donde las organizaciones y sus miembros se enfrentan a entornos cada vez más inciertos, por lo que es necesario reconsiderar las prácticas de gestión del conocimiento que se han venido desarrollando en la empresa desde sus inicios. Estas prácticas, en forma de procesos y rutinas, pueden basarse tanto en conocimiento tácito como explícito y también necesitan ser continuamente reconsideradas de cara a la captación de nuevo conocimiento. En tales circunstancias, sería necesario modificar e incluso eliminar parte del conocimiento existente al objeto de asegurarnos de que los empleados tienen acceso a conocimientos lo suficientemente actualizados como para que mantengan o garanticen las relaciones que las PYMEs tienen con sus clientes. Nuestro trabajo examina el impacto que un contexto de “mentalidad abierta” (openminded) en la organización existente en un momento dado (T) tiene sobre las actuaciones que intentan reconsiderar los conocimientos organizativos en un momento posterior (T+1). Analizamos además la relaciones entre los procesos de aprendizaje/conocimiento explorativo y aplicado sobre el capital relacional. Se utiliza para ello evidencias empíricas procedentes de 107 PYMES del sector de las telecomunicaciones en España, utilizando la técnica PLS

Social network externalities and price dispersion in online markets.

Ample empirical studies in the e-commerce literature have documented that the price dispersion in online markets is 1) as large as that in offline markets, 2) persistent across time, and 3) only partially explained by observed eretailers’ attributes. Buying on the internet market is risky to consumers. First of all, consumers and the products they purchase are separated in time. There is a delay in time between the time consumers pay and the time they receive the orders. Second, consumers and the products they purchase are separated in space. Consumers cannot physically touch or examine the products at the point of purchase. As such, online markets involve an adoption process based on the interaction of consumers’ experiences in the form of references, recommendations, word of mouth, etc. The social network externalities introduced by the interaction of consumer’s experiences reduces the risk of seller choice and allows some sellers to charge higher prices for even homogeneous products. This research aims to study online market price dispersion from the social network externalities perspective. Our model posits that consumers are risk averse and assess the risk of having a satisfactory transaction from a seller based on the two dimensions of the seller’s social network externalities: quantity externality (i.e., the size of the seller’s social network) and quality externality (i.e., the satisfactory transaction probability of the seller’s social network). We further investigate the moderating effect of product value for consumers on the impact of social network externality on online market price dispersion. Our model yields several important propositions which we empirically test using data sets collected from eBay. We found that 1) both quantity externality and quality externality of social network are salient in driving online price dispersion, and 2) the salience of social network externality is stronger for purchase behavior in higher value product categories.network externalities, price dispersion, online markets, word of mouth