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Developing social capital and intellectual capital is critical to enhancing knowledge management (KM) and innovation. Social capital relates to KM as it provides access to new sources of knowledge, with each dimension of social capital having different effects on knowledge exchange. The amount of knowledge gathered over time and the use of communication technologies is essential to understand the role knowledge plays in social capital innovation, also referred to as intellectual capital. Social capital and intellectual capital are regarded as factors needed to enhance KM amongst agrifood business support programmes. Limited research to date has explored how intellectual capital is linked to each dimension of social capital. Current qualitative research being conducted in this PhD aims to contribute to this body of knowledge. This paper will include preliminary results from pilot study research. Initial interview and observation findings suggest that bonding social capital and intellectual capital lead to enhanced knowledge exchange and therefore increased innovation capabilities. The findings from this research will be beneficial to agri-food businesses, agriculture support programmes, training programmes, farmers, and governing bodies and will aid understanding into social capital and its benefits for knowledge exchange and innovation. [ABSTRACT FROM AUTHOR]

The study aims to investigate how urban regeneration projects contribute to achieving sustainable development through an intellectual capital (IC) perspective for driving growth within urban communities and improving quality of life. Literature has shown that urban regeneration projects help support urban change. The IC helps drive sustainable development and competitiveness of regions, cities and communities. Urban regeneration projects contribute to better quality of life and drive social and economic renewal of urban communities. This exploratory study proposes a research framework addressed to join urban regeneration projects with IC view on cities and urban communities. This paper can contribute to the extant literature focused on the relationship between urban regeneration processes and the role of intellectual capital as driver of sustainable development. This qualitative study, using a multiple case study methodology, provides a comparative analysis of two urban regeneration projects that help the redevelopment of urban environments and support human and social capital within communities. The findings show that urban regeneration projects significantly contribute to revitalising urban spaces, supporting the components of IC that drive social and economic growth of communities. [ABSTRACT FROM AUTHOR]

To identify and manage their cyber security risks, organisations need to form a thorough understanding of various factors that may expose them to these risks. While cyber security professionals and scholars have developed a plethora of practical methodologies and frameworks to support cyber security risk identification and mitigation, the theoretical foundations on what promotes effective knowledge creation when using these methodologies and frameworks are nascent. Yet, theories developed in the field of knowledge management and intellectual capital may provide valuable insight on how to enhance cyber security risk related knowledge creation in organisations. For example, social capital is considered as an important prerequisite for knowledge exchange and combination when creating new intellectual capital (Nahapiet & Ghoshal, 1998). However, more focused research is required to understand how social capital affects knowledge creation in the context of organisational cyber security risk related activities. Using qualitative data gathered from three cyber security threat modelling workshops, this paper examines how social capital enables conditions for exchanging and combining knowledge on cyber security threats. By comparing the empirical observations with Nahapiet and Ghoshal's (1998) model, this study identifies practical approaches that are used by threat modelling workshop facilitators to create conditions for effective knowledge exchange and combination. This study provides both cyber security scholars and professionals with an example on how to use knowledge creation related academic theories to analyse and further enhance cyber security risk management approaches by creating a connection between Nahapiet and Ghoshal's (1998) social capital model and cyber security threat modelling. [ABSTRACT FROM AUTHOR]

The concept of intellectual capital was developed at the organization level, where intellectual capital is recognized as an important factor affecting the improvement of competitiveness. The idea of national intellectual capital (NIC) has emerged as a new category in academic research. NIC is defined as the hidden values of individuals, enterprises, institutions, communities, and regions that are the current and potential sources of wealth creation. The notion of smart growth, its factors and measuring methods are also new categories which emerge from the strategic development objectives defined by the EU. Smart growth is one that is based on knowledge and innovation. The purpose of this paper is to examine the relationships between NIC, its components: national human capital, national social capital, national structural capital, national relational capital and the level of smart growth in the EU countries. Research into this kind of dependencies is extremely difficult since many of the phenomena involved in them are intangible and requires advanced methods from the field of multidimensional analysis. The first part of the paper presents selected aspects of the notions of NIC and smart growth. Then, empirical studies are conducted into the construction and estimation of a model describing the relationships between NIC and its components, as well as those between NIC and the level of smart growth. The research uses the method of soft modelling developed by Herman Wold. Soft modelling allows users to examine links between variables which are not directly observable (latent variables). The conducted research has demonstrated that NIC and its components had a significant, positive impact on the level of smart growth in the EU countries. The obtained results also made it possible to create rankings of the examined countries according to the stock of NIC, the stock of each of its components, as well as the level of smart growth. [ABSTRACT FROM AUTHOR]

So precious, the Intellectual Capital (IC) is considered as the financial performance, the economic wealth, or the most valuable resource that increases the survival of the organization. At the time of the knowledge economy, an accurate conception, a common taxonomy and frameworks systems are being of great productivity for the knowledge intensive organizations due to the lack of the consensus on a shared comprehension and a conception, and the research and the practice are still situated in their beginnings at the theoretical level. In order to understand this multidisciplinary and interdisciplinary area, this paper is intended as a state of art for the IC and as a framework for the Human Capital (HC), the predominant component of the IC, the smart component, the source of all knowledge of which a large part is still tacit, fragile (i.e., does not belong to the organization) and not easy to capitalize. This paper present an introduction showing how Knowledge Management (KM) is still an emergent and a topical area which continues to receive interest both from academic scientists and professionals, but also showing how IC is so important for the organizations in the new economy. Then, it provide a state of art for the IC exposing its definitions, the various models of its taxonomy, the definitions of the most important of its components (i.e. HC, social capital, organizational capital and relational capital) and the different frameworks developed for the IC or for one of its components. Then before presenting our framework for HC, the paper propose a common taxonomy for IC taking into account the importance of the source of knowledge (i.e. human resource) and exposing the category of HC that interest us in our framework. Finally, we give a conclusion and our future works. [ABSTRACT FROM AUTHOR]