Purpose – The purpose of this paper is to provide a new framework for managing intellectual capital (IC) inside a university considering the collective intelligence perspective. Design/methodology/approach – The research method uses the fourth stage of IC research and adopts the collective intelligence approach. The underlying assumption behind the framework is to consider the university as a collective intelligence system in which the tangible and intellectual assets are coordinated towards the achievement of strategic goals. Findings – The conceptual framework for IC management harnesses the power of IC, collectively created by the engagement of multiple stakeholders inside the university network. The main components are the final goal of a university (what); the collective human capital to achieve the goal (who); the processes activated inside the university (how); and finally the motivations behind the achievement of the goal (why). Research limitations/implications – The research is exploratory and the framework offers opportunities for refinement. Future research is needed to verify the application of the framework to other organisations in the public sector intended as collective intelligence systems. A new perspective for managing IC in universities adopting the collective intelligence approach is developed. Contribution to the fourth stage (ecosystem) of IC research is highlighted, expanding the concept of IC value creation beyond the university into wider society. Practical implications – The framework can be used to manage IC strategically in all the systems interpreted as collective intelligence systems in which the role of IC creation from multiple actors is relevant. This makes possible the understanding of how IC helps create value for the society and the region in which the university operates. Originality/value – The originality of the paper is in bringing together issues usually dealt within the literature in separate domains, such as IC management and collective intelligence perspective. The concept of collective intelligence remains an unexplored field in relation to IC management in the public sector. The collective intelligence approach provides a novel contribution to managing IC and is intended to inspire future research.
Purpose The purpose of this paper is to contribute to the literature on intellectual capital (IC) in light of the emerging paradigm of Big Data. Through a literature review, this paper provides momentum for researchers and scholars to explore the emerging trends and implications of the Big Data movement in the field of IC. Design/methodology/approach A literature review highlights novel and emerging issues in IC and Big Data research, focussing on: IC for organisational value, the staged evolution of IC research, and Big Data research from the technological to the managerial paradigm. It is expected that identifying these contributions will help establish future research directions. Findings A conceptual multi-level framework demonstrates how Big Data validates the need to shift the focus of IC research from organisations to ecosystems. The framework is organised into four sections: “why” – the managerial reasons for incorporating Big Data into IC; “what” – the Big Data typologies that enhance IC practice; “who” – the stakeholders involved in and impacted by Big Data IC value creation; and “how” – the Big Data processes suitable for IC management. Research limitations/implications The paper provides many avenues for future research in this emerging area of investigation. The key research questions posed aim to advance the contribution of Big Data to research on IC approaches. Practical implications The paper outlines the socio-economic value of Big Data generated by and about organisational ecosystems. It identifies opportunities for existing companies to renew their value propositions through Big Data, and discusses new tools for managing Big Data to support disclosing IC value drivers and creating new intangible assets. Originality/value This paper investigates the effects and implications Big Data offers for IC management, in support of the fourth stage of IC research. Additionally, it provides an original interpretation of IC research through the lens of Big Data.
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