International Journal of Knowledge Management Studies 

About: International Journal of Knowledge Management Studies is an academic journal published by Inderscience Publishers. The journal publishes majorly in the area(s): Knowledge sharing & Computer science. It has an ISSN identifier of 1743-8268. Over the lifetime, 236 publications have been published receiving 1672 citations. The journal is also known as: IJKMS & Knowledge management studies.

Local strategic networks in the software industry: an empirical analysis of the value continuum

Abstract: This paper explores long-term partnership benefits of local strategic alliances in knowledge-intensive industries. A structural model of the value continuum is formulated and tested on small and mid-size enterprises in the software industry. Partial least squares path analysis is used to investigate the cause?effect relationships between the foundation values – efficiency and effectiveness – and the innovation value. The results show that the innovation value of localised inter-firm networks originates from costs savings and quality improvements. Conversely, alliance-induced 'speed' benefits (measured by the R&D process's acceleration), which improve flexibility and/or shorten delivery time, have no significant impact on market-based performance. An alliance's time-related benefits may be important to maintain competitive parity, but they do not significantly support competitive advantage, market development and market penetration. Instead, value is created via, for example, an exchange of tacit knowledge and a reduction in transaction costs, and particularly by a reduction in customer service costs.

The impact of intellectual capital on innovation via the mediating role of knowledge management: a structural equation modelling approach

Abstract: This study aims to investigate the impact of intellectual capital on innovation in telecommunication companies in Jordan, through the presence of knowledge management as a mediator. Data were collected using a self-administrated questionnaire from 498 employees working in three telecommunication companies in Jordan. Structural equation modelling approach based on AMOS 22.0 was used to examine the causal relationships and to test the hypotheses between the observed and latent constructs in the proposed research model. The results led to the confirmation of a mediation model as intellectual capital did not have a direct impact on innovation. The results revealed that intellectual capital did have a significant impact on knowledge management and the latter on innovation. In light of these findings, implications to both theory and practice are discussed.

Collaborative capability in R&D alliances: exploring the link between organisational- and individual-level factors

Abstract: Utilising the dynamic capabilities perspective, this study examines the role of collaborative capability in R&D alliances with a focus on the interplay between organisational- and individual-level mechanisms. Collaborative capability has predominantly been conceptualised and analysed from a firm- level perspective, whereas the individual-level mechanisms that enable this ability to develop and flourish have been neglected. We explore the development of Novozymes' 'Partnering Project' and show how individual-level factors, such as competence development, work in concert with organisational-level strategic and structural mechanisms in creating collaborative capability. Based on an in-depth case study and a review of the literature, we propose a framework to explain the multi-dimensional nature of collaborative capabilities in R&D alliances. Our study shows how firms may benefit from increased attention to the interaction between individual- and organisational-level issues, captured via a partnering mindset, when designing R&D alliances.

Summarising text with a genetic algorithm-based sentence extraction

Abstract: Automatic text summarisation has long been studied and used. The growth in the amount of information on the web results in more demands for automatic methods for text summarisation. Designing a system to produce human-quality summaries is difficult and therefore, many researchers have focused on sentence or paragraph extraction, which is a kind of summarisation. In this paper, we introduce a new method to make such extracts. Genetic Algorithm (GA)-based sentence selection is used to make a summary, and once the summary is created, it is evaluated using a fitness function. The fitness function is based on three following factors: Readability Factor (RF), Cohesion Factor (CF) and Topic-Relation Factor (TRF). In this paper, we introduce these factors and discuss the Genetic Algorithm with the specific fitness function. Evaluation results are also shown and discussed in the paper.

Assessing firm capabilities for innovation

Abstract: The capability to innovate has been described as key to firms remaining competitive. Scholars and managers have tried to understand how firms renew themselves in response to changes in the environment or the strategic need to be innovative. Drawing on the literature on organisational capabilities and experience gained from working with and assessing firms’ capabilities for innovation, this paper presents a firm relevant framework for capabilities for innovation in large firms and the subsequent tool for assessing these capabilities. It contributes to the growing stream of literature on the capabilities for innovation by explaining and operationalising some key dimensions of the capabilities for innovation and by providing a tool that is actionable, i.e., easily translated into action.