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The present study focuses on the role of PDO certification in fostering the quality perception of certified-food consumers – highlighting the difference between quality brands and environmental labels. The case study of Mozzarella di Gioia del Colle DOP was taken into consideration to evaluate the opportunity of supporting a food product suitable for all families and promoting it worldwide through a quality certification.

The authors made a qualitative analysis on local Apulian consumers and, for testing our hypotheses, structural equation models were applied to evaluate the effect of familiarity on the relationships between perceived risk, trust, satisfaction, loyalty, resolution to pay a higher price and intent to purchase a Protected Designation of Origin (PDO) certified food product.

The authors observed managerial implications which seek to improve the collaborative network between the subjects employed in the phases of the production process, the stakeholders and the consortia, in order to plan a holistic development territorial strategy. It is useful to start a process of knowledge and evaluation of the benefits of the quality mark in the territory of origin of the PDO food product.

The authors provided theoretical and managerial implications which aim at improving the collaborative network between the subjects employed in the phases of the production process, stakeholders and consortia, in the outlook of territorial development strategies.

According to the analysis of the theoretical background, the opportunity to recognise the origin of a certain product allows the consumer to easily appreciate its intrinsic quality, relating a combination of factors to the territorial matching. It also focuses on the analysis of a different feedback at a local level from consumers, showing a lower intention to pay by consumers living in the same area where the PDO product comes from rather than other food goods.

The purpose of this paper is to empirically test if the interaction between universities and spin-offs, as proxy of knowledge translation (KT), which is based in particular on negotiation, semantics and pragmatics, has a positive impact on spin-off performance – in terms of greater distance from the “valley of death” – and allows access to credit and financial instruments.

The authors adopt an appropriate nonparametric conditional efficiency approach for panel data. The authors provide a unique picture of the innovation environment in Italy using an original dataset. These data provide information regarding the intensity of interaction between universities and spin-offs along with financial balance datasheet of the spin-offs. The nonparametric approach is particularly suitable for nonlinear relationships typical for this type of data.

The results of the analysis confirm that the translation of knowledge, based on negotiation of interests, semantics of the text and pragmatism, favored by the interaction between universities and spin-offs, improves the productivity performance of the spin-off by allowing them to move away from the “valley of death”. Therefore, universities must pay particular attention to the way they work with spin-offs by making use of the translation of knowledge, based on semantics and pragmatism, in order to encourage an understanding of knowledge, sharing of interests among the partners and stakeholders of the spin-off, often belonging to different backgrounds. These are processes that favor the transfer and development of research outcomes to the market, improving the spin-off competitiveness of the territory and strengthening relations with universities and their stakeholders (banks and financial intermediaries, local and national politicians, institutions and the community at large).

Implications for research can be identified at policy and managerial level and refer to the effectiveness of the so called “Third Mission”, university entrepreneurship through the creation of profitable spin-offs which contribute to innovation, and to the socioeconomic development of the territory. In turn, spin-offs with good performances are more likely to have access to external financing to allow the growth of their business in the market. Further studies can investigate the organizational way of the universities that promote these virtuous results, distinguishing them by spin-off efficiency clusters.

For universities, the results make it possible to envisage organizational processes to support spin-offs that are important both for compliance with the regulations and for the Third Mission. Researchers, teachers and PhD academics have the opportunity to exploit the results of their innovative research on the market. Spin-offs and start-up founders should note that the results of scientific transfer can create value for the firm and the territory. Useful information also derives for banks and financial intermediaries that intend to improve the credit risk assessment of the spin-offs during the loan assessment phase.

The value of the work entails in offering a unique overview of university innovation, through an original dataset and a robust methodology. By adopting a different approach, the contribution of KT at national level was assessed, measuring the impact on the technical performance and on the probability of survival of the companies. Originality of the paper lies not only in the approach but also in the fact that this is the first attempt to use the KT as a key factor for the economic sustainability from a financial perspective of start-up companies.

The aim of this paper is to analyze and measure the effects of intellectual capital (IC), i.e. human capital (HC), relational capital (RC) and structural capital (SC), on healthcare industry organizational performance and understanding the role of data analytics and big data (BD) in healthcare value creation (Wang et al., 2018). Through the assessment of determined variables specific for each component of IC, the paper identifies the guidelines and suggests propositions for a more efficient response in terms of services provided to citizens and, specifically, patients, as well as predicting effective strategies to improve the care management efficiency in terms of cost reduction.

The study has a twofold approach: in the first part, the authors operated a systematic review of the academic literature aiming to enquire the relationship between IC, big data analytics (BDA) and healthcare system, which were also the descriptors employed. In the second part, the authors built an econometric model analyzed through panel data analysis, studying the relationship between IC, namely human, relational and structural capital indicators, and the performance of healthcare system in terms of performance. The study has been conducted on a sample of 28 European countries, notwithstanding the belonging to specific international or supranational bodies, between 2011 and 2016.

The paper proposes a data-driven model that presents new approach to IC assessment, extendable to other economic sectors beyond healthcare. It shows the existence of a positive impact (turning into a mathematical inverse relationship) of the human, relational and structural capital on the performance indicator, while the physical assets (i.e. the available beds in hospitals on total population) positively mediates the relationship, turning into a negative impact of non-IC related inputs on healthcare performance. The result is relevant in terms of managerial implications, enhancing the opportunity to highlight the crucial role of IC in the healthcare sector.

The relationship between IC indicators and performance could be employed in other sectors, disseminating new approaches in academic research. Through the establishment of a relationship between IC factors and performance, the authors implemented an approach in which healthcare organizations are active participants in their economic and social value creation. This challenges the views of knowledge sharing deeply held inside organizations by creating “new value” developed through a more collaborative and permeated approach in terms of knowledge spillovers. A limitation is given by a fragmented policymaking process which carries out different results in each country.

The analysis provides interesting implications on multiple perspectives. The novelty of the study provides interesting implications for managers, practitioners and governmental bodies. A more efficient healthcare system could provide better results in terms of cost minimization and reduction of hospitalization period. Moreover, dissemination of new scientific knowledge and drivers of specialization enhances best practices sharing in the healthcare sector. On the other hand, an improvement in preventive medicine practices could help in reducing the overload of demand for curative treatments, on the perspective of sharply decreasing the avoidable deaths rate and improving societal standards.

The authors provide a new holistic framework on the relationship between IC, BDA and organizational performance in healthcare organizations through a systematic review approach and an empirical panel analysis at a multinational level, which is quite a novelty regarding the healthcare. There is little research focussed on healthcare industries' organizational performance, and, specifically, most of the research on IC in healthcare delivered results in terms of theoretical contribution and qualitative analyzes. The authors even contributed to analyze the healthcare industry in the light of the possible existence of synergies and networks among countries.

The role of information and communication technologies (ICTs) and digital platforms in enabling connectivity and collaboration among actors is neglected when dealing with outbound open innovation (OI). Moreover, the outbound OI process is not currently defined in a univocal way. Thus, this paper aims to outline the outbound OI phases and to explore role and capabilities of ICTs in supporting it.

Through a literature review approach, the authors specified the outbound OI process. Hence, the authors leveraged the similarities between the knowledge management process phases and the outbound OI phases for developing a conceptual framework that could match the outbound OI phases with acknowledged categories of ICT tools.

Through a process-view, the authors outlined outbound OI as a three-phase process. The authors developed a matrix-shaped framework in which the columns represent the three outbound OI process phases, while the rows are three ICT categories that could be suitable for supporting the outbound OI process.

The framework is designed to guide a deep understanding of how ICTs could support specific phases of the outbound OI process. In so doing, it could be useful for software developers interested in the preliminary design of an ICT platform for outbound OI.

The conceptual framework proposal as follows: specifies a detailed, process-oriented definition of the outbound OI; allows to identify the main ICT categories supporting the phases of the outbound OI process; and provides guidance for further exploration about the role of ICT in outbound OI.