Antecedents of knowledge sharing and employee innovativeness

Previous researchers have acknowledged that the success of a firm’s innovation capability depends greatly on knowledge sharing. Numerous studies have examined individual factors affecting knowledge sharing and innovation capability. A review of the literature has unveiled the individual factors focusing on trust, enjoyment in helping others, self-efficacy, reciprocity, pro-sharing norms, self-image and organizational reward. However, other essential variables relating to attitudinal and behavioral factors have been neglected. In order to fill this gap, four factors namely job satisfaction, organizational commitment, organizational citizenship behaviour, and employee engagement are crucial for employees to engage in knowledge sharing to enhance their innovativeness incorporated into the research model. In the attempt to empirically validate this model, data were collected from engineers working with Malaysian manufacturing firms. Data were statistically analyzed by the structural equation modeling (SEM) technique using the SmartPLS software. The findings suggest that job satisfaction, organizational citizenship behaviour and employee engagement have significant influence on knowledge sharing. Furthermore, job satisfaction, organizational commitment and organization citizenship behaviour were found to have significant influence on employee innovativeness. Importantly, knowledge sharing mediated the relationship between job satisfaction, organizational citizenship behaviour and employee engagement with employee innovativeness. The implication of this study is that satisfied and engaged employees with good citizenship behaviour would foster knowledge sharing which in turn enhances their innovativeness. Further empirical validation or incorporation of new variables is recommended to extend this current study

Cognitive Foundations for Visual Analytics

In this report, we provide an overview of scientific/technical literature on information visualization and VA. Topics discussed include an update and overview of the extensive literature search conducted for this study, the nature and purpose of the field, major research thrusts, and scientific foundations. We review methodologies for evaluating and measuring the impact of VA technologies as well as taxonomies that have been proposed for various purposes to support the VA community. A cognitive science perspective underlies each of these discussions

An Epistemological Taxonomy for Knowledge Management Systems Analysis

Knowledge Management Systems (KMS) play increasingly important roles in organizations due to the realization of the value of knowledge and capabilities of computerized systems to support knowledge management activities. Earlier researchers have explained the activities and processes important for knowledge management, which is useful for the development of systems to support knowledge management. The wide variety of knowledge domains and interactions among them in organizations makes it necessary to understand the broad epistemological spectrum that can enable effective utilization of computerized systems for knowledge management. Although, previous research had considered the processes required for dissemination of knowledge in organization, more fundamental epistemological consideration, along objective and subjective dimensions will enhance analysis of systems requirements. This paper attempts to conceptually develop taxonomy useful for analysis of knowledge requirements and for implementation of systems. Furthermore, the paper illustrates the classification using exploratory cases