Giuseppina Passiante

Corporate portal: a tool for knowledge management synchronization

As the basis of value creation and success of organizations increasingly depends on the leverage of knowledge available internally, knowledge management systems (KMS) are emerging as vital tools for competitive advantage. Among these KMS, corporate portals present the potential of providing organizations with a rich and complex shared information workspace for the generation, exchange, and use of knowledge. But developing corporate portals and building the critical mass of users required to make them successful is not an easy task. In this paper, drawing upon the literature review and an analysis of early adopters of corporate portals, we address the strength of this tool which consists mainly in synchronizing and supporting knowledge processes, put the emphasis on factors inhibiting its adoption by companies and finally propose some perspectives for a successful implementation.

Intangible Assets in Higher Education and Research: Mission, Performance or Both?

Purpose – This paper aims to discuss the role of intangible assets in higher education and research institutions and to present a measurement framework, along with an illustrative application.Design/methodology/approach – A review of existing theories and practical experiences is undertaken to build the core conceptual model and a dashboard of indicators. The model is then applied to investigate the mission and performance angles of intellectual capital with reference to an Italian higher education and research institution.Findings – Creating intangible assets is at the core of the mission of education and research organizations. The identification and measurement of intellectual capital are thus an operational priority to evaluate the alignment between strategic orientation and performance within such institutions.Research limitations/implications – The research has to be considered as exploratory and presents a single case, resulting in the need for further applications. However, the dashboard of metric...

New sources of clustering in the digital economy

Using a sample of 29 virtual clusters, the paper examines new sources of clustering in the digital economy. The “virtual cluster” phenomenon highlights the most significant effect of the development of the information and communication technologies in the business environment. A virtual cluster is conceived as an e‐business community, made up of customers, suppliers, distributors and commerce providers sharing digital and knowledge networks for collaboration and competition. The purpose of this paper is to set out the characteristics of a new competitive space, in which a strategic role is played by virtual processes among partners, and to review the traditional sources of clustering in the digital economy environment (Romano et al., 1999). More specifically, this paper attempts to show the emerging overlap between digital and knowledge networks, which generates a new competitive space within a new global‐virtual learning environment. Finally, assuming that traditional sources of clustering are generally identified in specialisation (based on a sophisticated division of labour) and geographic proximity, the paper discusses how the role of organisational proximity acts as a substitute for geographic proximity in supporting coordination and tacit knowledge exchange. As it emerges from the analysis of our cases, from a managerial point of view, organisational proximity may be achieved through the implementation of supply chain management (SCM) and customer relationship management (CRM) strategies. An earlier version of this paper was presented at the 23rd Institute of Small Business Affairs Annual Resource and Policy Conference in November 1999 in Leeds, UK.

Managing intellectual capital through a collective intelligence approach: An integrated framework for universities

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 t...

Intellectual capital in the age of Big Data: establishing a research agenda

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.,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.,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.,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.,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.,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.

Impacts of Absorptive Capacity on Value Creation

ABSTRACT Recent development in strategy research has demonstrated the important role of network participation in firm value creation. However understanding the key role of networks in value creation is only the first step, ft is substantial to understand, also, the underlying mechanisms that impact firms capability in appropriating and creating value through its participation in networks. Therefore, based on an empirical research study among tourism small and medium enterprises, this paper aims to demonstrate that the extent to which firms can create and appropriate value, would highly influence their absorptive capabilities.

Mobilising intellectual capital to improve European universities’ competitiveness: The technology transfer offices’ role

Purpose Universities concerned with third mission activities are engines that increase regional competitiveness since their primary role in the knowledge-based economy is to stimulate innovation by transferring new knowledge and technologies to industry and society. The purpose of this paper is to show how IC can be mobilized by university technology transfer offices (TTOs) due to the correlation between efficient university technology transfer and intellectual capital (IC), thus contributing to the third stage of IC research. Design/methodology/approach The application of the Maturity Model developed by Secundo et al. (2016) is expanded by collecting data from 18 universities in the European countries to illustrate how IC can be used as a strategy and solution to the barriers faced by TTOs. Findings TTOs with increased access to and utilization of IC tend to have higher maturity levels. This new application of the Maturity Model, proves that IC can be utilized to manage and improve the efficiency of TTOs. Research limitations/implications An indication of the level of access that TTOs have to university IC is given leading to recommendations to improve university technology transfer. Future research should include a wider sample of universities to increase the validation of the Maturity Model and to prove it as a suitable and strategic approach for IC management at TTOs. Practical implications Knowing which IC components are essential for the efficiency of TTOs, and which IC needs greater utilization, will provide insights into policy and practical interventions to improve their efficiency, resulting in increasing universities’ competitiveness. Originality/value A new approach and perspective on utilizing IC to improve university technology transfer to contribute to the third stage of IC research calling for more practice-oriented research.

Activating entrepreneurial learning processes for transforming university students’ idea into entrepreneurial practices

Purpose The purpose of this paper is to explore how collaborative entrepreneurial learning (EL) processes between entrepreneurs and university students can enhance the entrepreneurial practices in the context of knowledge-intensive enterprises. These learning processes represent a valuable source for entrepreneurship development in incumbent enterprises in the forms of innovative products, services, processes or organizational renewal. Design/methodology/approach An extreme case study is the project “Mimprendo” (www.mimprendo.it), an initiative promoted by the Italian Conference of the University Colleges and the Italian Association of Young Entrepreneurs in collaboration with Italian universities. This is analyzed in the period 2009-2015, during which seven editions were developed. Findings A framework is presented based on collaborative EL processes to perform relevant entrepreneurial projects in knowledge-intensive enterprises. The framework provides a coherent and systematic approach to generate, select and implement entrepreneurial practices in incumbent companies starting from a project competition involving creative students and innovative entrepreneurs. EL processes in the community composed of entrepreneurs, experts and university students are grouped into the entrepreneurial phases of inspiration, exploration, exploitation, acceleration and growth, and include the learning processes of “intuition and sensing,” “contamination,” “experiential and contextual learning,” “experimenting and acting” and finally “thinking and reflecting.” Research limitations/implications Implications for research can be identified according to many perspectives to deepen the centrality of the learning process in the research on knowledge-intensive entrepreneurship. Practical implications The framework results to be a promising approach to diffuse an entrepreneurial culture both in incumbent enterprises and in university students through a synergic collaboration among industry, university and institution. Practical implications could be derived for enterprise, students and educators involved in the design of innovative learning initiatives to sustain the development of an entrepreneurial mind-set. Originality/value The framework contributes to extending an emerging research area exploring entrepreneurship as a never-ending dynamic learning process. The involvement of brilliant university students in activating EL process with entrepreneurs in incumbent enterprises represents a novel aspect in the field of entrepreneurship and innovation.

Measuring university technology transfer efficiency: a maturity level approach

Purpose The process of innovation in developing countries is different from that of developed countries, with mature technologies often being adopted with limited success. Universities are increasingly being viewed by policymakers as engines of innovation through the technology transfer office (TTO). However, with the adoption of various new intellectual property right legislation, university TTOs in developing countries have had an inefficient approach to technology transfer. Framed in the above premises, this study aims to develop a Maturity Model to measure, through non-monetary indicators, the efficiency of TTOs. Design/methodology/approach The Maturity Model is inspired by the Berkley (PM)2 Model which allows an organization to determine strengths and weaknesses and to focus on weak practices to achieve higher maturity. Fuzzy analytical hierarchy process is adopted to determine the priorities and weights of the non-monetary indicators because they are ambiguous. Findings The Maturity Model to measure the efficiency of TTO cover the following efficiency areas: intellectual property strategy and policy; organization design and structure; human resource; technology; industry links; and networking. The model provides a theoretical continuum along which the process of maturity can be developed incrementally in TTO from one level to the next, moving from awareness, defined, managed, integrated and sustained stage. Research limitations/implications The Maturity Model needs to be tested and applied in TTOs in developing countries. Practical implications The Maturity Model provides a means to sustain the decision-making process more effectively, especially in those countries considered as an inefficient innovator. Originality/value The findings inform the design of a customizable solution to barriers to the success of technology transfer and highlight weaknesses within each institution or TTOs efficiency.

Entrepreneurial learning dynamics in knowledge-intensive enterprises

Purpose The purpose of this paper is to present an overview of the articles presented in the special issue “Entrepreneurial learning dynamics in knowledge-intensive enterprises.” The special issue is inspired by recent research on entrepreneurial learning dynamics in knowledge-intensive enterprises literature. The aim is to extend and consolidate this emerging research area exploring entrepreneurship as a never-ending dynamic learning process, as well as, to cross-fertilize entrepreneurship and organizational learning studies. Design/methodology/approach The paper is based on a literature and published document review, experiential reflections and argument. Findings The paper reveals an integrative framework to highlight the breath of entrepreneurial learning research according to different level of analysis: the context where learning happen, the different typologies of entrepreneurial learning processes, the ontological levels at which learning can occur and the different typologies of entrepreneurial learners. Continuous learning processes allow entrepreneurs to develop and grow, as well as, enable knowledge-intensive enterprises to engage in strategic renewal processes. Research limitations/implications Although, entrepreneurial learning research so far has focused on applying existing theories in the entrepreneurial context, more research is needed to broaden the perspective and understanding how entrepreneurial learning can help to face key entrepreneurship’s challenges in different context. Originality/value The paper presents an holistic approach of current entrepreneurial learning research and encourages researchers to explore how different learning types come into play in different entrepreneurial contexts (start-up initiatives, strategic renewal in incumbent enterprises, ventures development and growth).