Search results

The purpose of this paper is to empirically test the relations among different knowledge management (KM) factors, such as human capital (HC), processes and information systems (IS) on organizational sustainable competitive advantage (CA), within the SMEs context.

Structured questionnaires were distributed to CEOs and managers of Portuguese organizations through an electronic survey. Partial least squares software was utilized to analyze the data.

The measurement model results identify and validate the dimensions of HC, processes and IS representing the KM construct. The structural model results demonstrate that HC and processes have a direct and significant impact on organizational CA, on the customer and financial dimensions, respectively. IS indirectly and significantly influence organizational CA, mediated by HC and processes.

The sample size includes mostly service business and SMEs. Other organizations sectors, such as industry, should be analyzed in order to develop a comparative cross-sectorial study.

This study establishes suggestions for managers to make legitimate decisions concerning investments on knowledge assets and organizational capabilities that can foster business growth and sustainable CA within a SMEs context.

The authors propose a mediation mechanism showing that the relationship between IS and sustainable CA is not direct, but it is mediated by HC and processes. This mechanism points out some critical issues for the strategic knowledge and intellectual capital assets, as a source of organizational CA.

This study proposes a model to analyze the relationship between leadership, intellectual capital (human, structural, and relational), and their contribution to economic renewal. The study contributes to the literature and higher education institution (HEI) management, by examining empirically and in greater depth, the antecedents and determinants of this problem. This study applies variance-based structural equation modeling, using partial least square on a sample of 195 academics from 52 countries. The results show that leadership has a positive and direct impact on human, structural, and relational capital, and that human capital has positive and direct impact on the structural and relational capital of the studied HEIs. Hence, we found that only the structural and relational capital of the HEIs have positive and direct impact on the contribution to economic renewal.

The purpose of this paper is to present an innovative operational proposal for measuring the intellectual capital (IC) of higher education institutions (HEIs) through a strategic prospective lens of analysis.

After providing a literature review on the methods for measuring IC that focuses on the organisational IC of HEIs, four case studies applied to Portuguese HEIs are presented, using a matrix of cross-referenced impacts – multiplications applied to a classification (MICMAC) approach.

The empirical findings reveal how human capital, structural capital and relational capital make up the core components and provide a fairly diversified list of the measurement indicators for the operational evaluation of the IC of HEIs.

It contributes into the literature of strategic prospective analysis of HEIs by: analysing the measurement systems for the organisational IC interrelated with HEIs; identifying the key components to the organisational IC of HEIs and their respective measurement indicators; and draufting a new method for operationally implementing organisational IC through the systematic application of the components and indicators identified.

Through an innovative vision, the present study reconciles and systematically structures the methods already proposed by other authors before presenting an innovative operational approach and an alternative to the already existing methods. In addition, the structure of this proposal itself enables HEIs to choose from among the various indicators proposed for IC, correspondingly those that best align with the type of institution under evaluation.

The purpose of this paper is to propose a model to evaluate the degree of intellectual capital (IC) maturity into organizations.

This is a qualitative, applied research designed as an exploratory and descriptive investigation. It employs a case study to apply the intellectual capital maturity model, which is developed from the literature review. The Proknow-C method of systematic literature review is the procedure adopted for the literature review in Scopus, Science Direct and Web of Science databases. In total, 21 IC constructs were derived from such review and assessed by 18 reviewers (judges).

In the scientific literature, IC is mainly viewed as a resource or set of resources an organization for the creation of competitive advantage and value. Using the information gathered about different views on IC, this study proposes a construction of the theoretical model, based on the models of the capability maturity model–Software Engineering Institute and Asian Productivity Organization–Knowledge Management, the management model and the application protocol.

This research offers view on the nature of the concept of IC showing (IC) as a business asset through maturity scale. The analysis of the concept of IC is focused at organizational and dimensional levels.

This study contributes to the further development of the concept of IC regarding its measurement in organizations through the maturity scale.

For better mapping the path of intellectual capital (IC) research, the purpose of this paper is to selectively review empirical studies of IC published, and identify theories, components and three dimensions of analysis: national IC (NIC), regional IC (RIC) and organizational IC (OIC).

The systematic literature review (SLR) subject to analysis is based on empirical studies made between 1960 and 2016, and focuses on three dimensions of analysis: NIC, RIC and OIC. Four research questions were designed, using the following databases, namely, Web of Science, Scopus and Google Scholar, for data collection purposes.

The SLR unveils a multidimensional taxonomy for measuring and classifying the type of IC applicable to the different levels of analysis and provides some recommendations for future studies of NIC, RIC and OIC, by outlining the need for clear definitions of components and measures of IC and identifying strengths, limitations and future research avenues.

In order to fill the gap found in the literature and the non-existence of a study clarifying the multiple dimensions of analysis of IC, this SLR makes a twofold, original contribution to the literature on management: providing an SLR of the main empirical studies dealing with different units of analysis; and identifying a multidimensional taxonomy for measuring and classifying the type of IC applicable to the different levels of analysis.