Since Klaus Schwab and the World Economic Forum declared the arrival of the Fourth Industrial Revolution, there has been much discussion about it. However, there is no commonly agreed-upon definition of the Fourth Industrial Revolution. Therefore, we attempted to answer the following four research questions. "What is the definition of the Fourth Industrial Revolution?", "How can we respond to the Fourth Industrial Revolution in terms of institutions?", "How can we respond to the Fourth Industrial Revolution in terms of technology?", "How can we respond to the Fourth Industrial Revolution in terms of firm innovation and start-up strategy?" Brainstorming was conducted by 11 scholars from several countries to answer these four research questions. Therefore, this research is not the end product of four research questions, but a kind of advanced template to answer the four research questions for continuing research.

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.

The paper highlights the importance of visual representations of strategic intent in order to understand how organizational resources – especially intangible assets and intellectual capital – are used to create value. Based on the literature the paper provides a taxonomy of organizational value drivers. Grounded in the resource‐based view of the firm, which argues that organizational resources or assets are bundled together and interdependent, it then highlights shortcomings in the strategy map approach based on the balanced scorecard. The paper then introduces the value creation map that utilizes both direct and indirect dependencies to map value creation. It is suggested that this approach complements the strategy map approach by extending its view of value creation from direct to both direct and indirect dependencies. Subsequently, the paper presents a case study of how the value creation map was applied to understand the new product development process in a leading furniture manufacturing firm.

Measuring intellectual capital is on the agenda of most 21st century organisations. This paper takes a knowledge-based view of the firm and discusses the importance of measuring organizational knowledge assets. Knowledge assets underpin capabilities and core competencies of any organisation. Therefore, they play a key strategic role and need to be measured. This paper reviews the existing approaches for measuring knowledge based assets and then introduces the knowledge asset map which integrates existing approaches in order to achieve comprehensiveness. The paper then introduces the knowledge asset dashboard to clarify the important actor/infrastructure relationship, which elucidates the dynamic nature of these assets. Finally, the paper suggests to visualise the value pathways of knowledge assets before designing strategic key performance indicators which can then be used to test the assumed causal relationships. This will enable organisations to manage and report these key value drivers in today's economy.

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Business performance measurement (BPM) is on the radar screen of business managers and academic scholars alike. Special issues of journals appear regularly and Harvard Business Press as well as Cambridge University Press have recently published collections of articles on measuring corporate performance. New reports and articles on the topic have been appearing at a rate of one every five hours of every working day since 1994 (Neely, 2002). Internet searches on the topic reveal more than 12 million sites dedicated to BPM. Furthermore, the software market for solutions and applications for measuring and managing corporate performance is constantly growing (Marr and Neely, 2001). Like in many emerging research areas developments are rapid. Recent years have seen the development of new approaches of measuring performance, such as activity-based costing (Kaplan and Cooper, 1997) and shareholder value (Rappaport, 1986). New measurement frameworks, most notably the balanced scorecard (BSC) (Kaplan and Norton, 1992, 1996a) and assessment frameworks such as the business excellence model, have taken the business community in storm. Research suggests that 60 per cent of Fortune 1000 companies have experimented with the BSC (Silk, 1998). Other frameworks include the performance pyramid (Lynch and Cross, 1990), the macro process model (Brown, 1996) and more recently the performance prism (Neely et al., 2002). Moreover, the recognition of non-financial and intangible assets has led to the development of various frameworks which address this evermore important area

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Purpose\ud – This introduction paper to the special issue on “The twenty‐first century knowledge‐based value drivers of innovation and sustainable development” aims to focus on such relationships between knowledge, learning, capabilities, innovation and competitive advantage in different forms of organization: businesses, clusters and regions. The purpose is to point out the conceptual pillars and contribute to the ongoing debate on: how knowledge assets impact organizational performance, what are the characteristics of such value‐generating processes, what factors affect the process of building organizational capabilities and distinctive competences, and how organizations translate specific capabilities into sustainable competitive advantages.\ud \ud Design/methodology/approach\ud – The article is based on a thorough analysis of the management literature addressing the nature, role and relevance of knowledge, organizational capabilities, learning and knowledge management for organization competitiveness. The conceptual background sets the foundations for a better understanding of the strategic importance of knowledge‐based value drivers for innovation and sustainable organizational value creation.\ud \ud Findings\ud – As knowledge management is establishing itself as a research discipline, it is fundamental to define the conceptual pillars grounding the application of knowledge management initiatives for innovation and business performance improvements. This paper provides a framework summarizing the key assumptions at the basis of understanding the strategic relevance of knowledge‐based value drivers for growth and competitiveness.\ud \ud Research limitations/implications\ud – In addressing some of the questions posed, this article provides some implications for future research that build on different perspectives and emphasize the importance of adopting multi‐disciplinary approaches to disentangle the complexities of how organizations convert knowledge resources to a long‐lasting competitive advantage.\ud \ud Originality/value\ud – This editorial presents the key conceptual pillars explicating the role of knowledge resources as building blocks of organizational capabilities and how firms can develop and maintain their competences by promoting and nurturing learning processes. The value of this paper is the definition of a conceptual framework outlining the relationships between knowledge management, organizational capabilities, organizational learning and competitiveness