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The purpose of this paper is to assess the perceived importance of information technology (IT) as a core factor enabling innovation in knowledge management (KM). The aim is to propose an approach for using the IT tools for KM involved in the design of effective learning applications to help the firms to guide internal venturing development.

The research design at the base of the present research has provided a survey which was conducted on a sample consisting of 187 different companies located in the Italian provinces of Naples and Caserta, from the segments of the electronics, the computer and network systems, the software (SW) development, aimed at deepening connections and influences of the use of IT-based knowledge management system (KMS). Structural equation modeling technique has been performed to get results.

Consistent with what has been observed in previous studies (Del Giudice and Straub, 2011), the empirical analysis developed has confirmed that 72 per cent of companies surveyed has defined themselves much agree on the ability of KMS for supporting complex phenomena such as internal venturing: both encouraging the individual to become “intrapreneur”; and helping the employee to improve their performances within business processes in which they are likely to be involved.

This paper reviews key research literature issues on IT revolution for KM. With the growth of new and exciting IT opportunities, however, comes the daunting opportunity to experiment interoperable, easy to use, engaging and accessible IT applications that communicate the right information needed to reconfigure innovative mechanisms for entrepreneurism and organizational performance.

Organizations and their members operate in increasingly complex, dynamic and even disruptive environments, with risk and uncertainty being major challenges. To that effect, data, information, knowledge, and respective competences are increasingly instrumental in enabling and sustaining organizational intelligence that translates into resilience in the shorter and sustainable excellence in the longer term. Therefore, the purpose of this paper is to explore the role of the artifacts and routines in a sustainable organizational excellence context.

An extensive literature review was used to develop the context of the paper, focusing on big data and organizational intelligence for enterprise excellence and resilience. In addition, a thematic literature review method was used to study the role and impacts of routines and artifacts in organizational change, policies, structure and performance.

Although many traditional management practices retain their validity, knowledge management must give a clearer view of the existing connection between firm-level competitive advantage in open economies flows and difficult-to-use knowledge assets. The proposed framework studies knowledge exploration and knowledge exploitation as organizational phenomena opposed and mutually incompatible.

The paper presents a first attempt to study the linkages of organizational routines and artifacts as a cycle wherein knowledge acquisition and learning competencies form and enhance a firm’s organizational intelligence, leading to robust competitiveness and sustainable entrepreneurship.

The purpose of this paper is to theoretically develop the idea that the intangible value of the collaboration between firms and the banking system can influence the probability of default (PD) on the part of firms and, therefore, their rating. The authors also propose that collaboration between banks and firms has a positive effect not only on the access to credit but also on the innovation activities and on the intervention of foreign capital in the ownership of Italian businesses.

As pointed out by the literature on smaller businesses finance, investments widely rely on credit availability. Tests using data on a sample investigation involving 5,587 firms, operating in 17 manufacturing sectors in Italy, support the majority of the proposed ideas.

The empirical investigation shows that only some aspects of the collaboration between enterprises and banks influence the PD, the investments in R&D and the internationalisation of ownership of the enterprises. In particular, the three stated variables are positively influenced both by the intensity of the credit relationship and by the level of information exchange with the credit system.

Further development of this research, as more empirical data become available, should allow explaining why the level of information exchange with the credit system has the greatest influence on the dependent variables analyzed.

This paper aims to extend the current understanding on how the local banking system is developed and is able to increase access to credit after gathering all the information about firms asking for funds.

This paper aims to investigate, inside the private sector of transport, a model for the diffusion of knowledge-sharing technologies with non-uniform internal influence that has been developed by Easingwood et al. (1983).

The authors performed an empirical evaluation of the performances of the model by Easingwood et al. (1983) by analyzing data gathered from almost 230 taxi drivers joining two of the biggest taxi brokers operating in the Southern Italian city of Naples.

Such an analysis reveals that the model by Easingwood et al. (1983) provides an excellent agreement with the empirical data and allows to obtain interesting predictions on the future evolution of the sector performances in terms of increasing use of knowledge-sharing technologies within the taxi drivers’ community of practice (CoP).

In particular, the authors show that a unique solution always exists, which is defined on the whole (positive) set of times and, in the long run, tends to a steady-state equilibrium. A first limit of the present research is certainly the use of a sample restricted to the taxi companies from only one city: future investigations should consider a larger sample by interviewing taxi companies from multiple regions as well. Another limit is that the model performed does not take into account all the factors influencing the diffusion of knowledge-sharing technologies within the CoP. Finally, the research design is not considering the impact of the diffusion of knowledge-sharing technologies on the customer relationship management.

The research shows the application of a valid model both for evaluating the diffusion of technologies for sharing knowledge within a CoP and for estimating its development trend. It represents the first original study in Italy that empirically investigates the diffusion of technological innovations for the knowledge management in an industry typically dominated by tacit codes of knowledge-sharing: the taxi companies.

The purpose of this paper is to discuss the concept of innovative performances for science parks as a framework for understanding how effectively human and structural capital (i.e. intellectual assets) are leveraged. The key point is fostering main determinants to investigate and/or make sense of key management activities/factors shaping the evolution and performance of knowledge creating processes.

The study was based on the quantitative and qualitative values, for the period 2000-2011, gathered from a sample of 901 public and private organizations located in the 21 European Union (EU) countries. With regard to the methodology, the hypothesis testing first required an analysis of the correlations between the investigation variables, and then the use of regression analysis to study the relationships between the innovative performance of the research institutions, and the financial, organizational and knowledge characteristics of the science parks investigated.

The empirical research shows that: the allocation of public resources does not influence most of the selected indicators of performance, with the exception of the negative effect seen for the number of patents; the resources provided by venture capitalists have a positive effect on all of the indicators of performance of the science park; the science parks of greater dimensions have better performances; the positive impact of the systemic relationships seems to have an effect that is limited to the increase in the number of contracts stipulated with industry; the number of publications produced by researchers of the science parks seems to have an unclear effect on the innovative performance; and an increase in the number of researchers enhances the innovative performance of the science parks.

It seems appropriate to suggest some research lines that arise from the limits of this work. In particular, it should be stressed that there is a need to enlarge the sample investigated to embrace local innovation systems outside the EU, so as to provide further validation to the empirical results of this research.

This research has some practical implications of notable interest at the level of European policies. Interventions of public policies supporting innovation should not be concentrated on the increase of public funding but on increasing private capital investment.

This paper aims to extend literature about factors explaining the financial, organizational and cognitive performance of science parks in Europe.

As the complexity and scope of technical and social challenges increase, solutions to those challenges must be addressed by collaborative research and intellectual capital sharing efforts involving multiple organizations. One prominent type of research collaborative is the government-university-industry R&D partnership, an organizational form found in many countries. These collaboratives pose special management challenges, as they must combine the efforts of researchers coming from very different institutional and organizational cultures in order to capitalize their own intellectual capital. Many such partnerships have failed due to the inability to bridge these cultural gaps. The purpose of this paper is to propose a framework for establishing and managing these partnerships, using principles and constructs drawn from institutional theory, organizational learning, alliance theory, and innovation management.

The examples of the NASA Laboratories, which are incubating several companies, are analyzed to show how this framework can highlight key attributes of successful research collaboratives.

The recurring pattern from these diverse case studies shows that the presence of internal and external champions, appropriate technology, and patient risk capital make a difference in winning in a competitive environment. However, part of the same pattern perhaps is the lack of any identifiable recipes for success - critical factors appear to be situation specific.

In light of the findings from the seven case studies the authors presented, they recommend using a hybrid portfolio approach in assessing the success of technology transfer and commercialization efforts.

The purpose of this paper is to examine how the organizational change management that characterizes the transitional moments of family businesses may open a transcendental horizon from which a business model arises that is built around the sovereignty of the family institution and must necessarily share the solution of agency problems which emerge as the overlapping between ownership and management recedes, and a management style oriented towards the evolution of the relations between family and business.

Taking its starting point from recent research, the proposed study aims at finding empirical validation of research hypotheses formulated through the development of a factorial analysis and the construction of an innovative model of structural equations able to provide an empirical solution to processes, up to now, left unresolved by management literature on the subject.

By empirically linking stewardship behaviours to capacity to keep the dynastic myth for generations, the authors have demonstrated that stewardship behaviors act as an effective governance mechanism for family businesses in specific change management situations related to the process of generational turnover. Further, the authors provide an important first step in linking theory building with theory testing and conclude the stewardship scale is positioned to play an important role in establishing alignment between the representation of consciousness of family business, in the realization of the self, and extra‐psychological symbolic dimension, in the realization of family history and destiny.

These discussions need to be validated and rendered more generalizable through extensive empirical research. First, though this study drew from cross‐sectional industrial data for the pilot test and then from a more focused industry‐specific sample (validation study), the generalizability of the construct could be a limitation of the stewardship scale. Second, we acknowledge the criticisms associated with a single country sample bias in our sample. A third associated limitation relates to the difficulty of developing a scale to tap individual and firm level behaviors.

Despite much progress, the extant literature on the psychology of strategic management has emphasized the behavioural and cognitive aspects of strategy formulation and implementation at the expense of emotional and affective ones, leading to an inadequate portrayal of strategic management as a series of rational and dispassionate activities. The originality of this empirical study has been to retrace, through the analysis of specific phenomena such as the multigenerational transition which characterize family businesses, the unconscious decisions within the decisional processes, which may transmit the original entrepreneurial dream into an organizational pathway, even in the case of a non‐family succession.

Starting from the premises that Internet of Things (IoT) applications can be used in museums as an aid to visiting systems, the purpose of this paper is to see how recommendation systems can be developed to provide advanced services to museum visitors.

The research methodology employs a qualitative exploratory multi-case study: the method used has consisted in crossing the information currently known on the most advanced communication technologies (ICT) with the requirements of enhancing museum services, in order to determine the possible trajectories of applying the former to the latter.

The implementation of recommender system outlines the main implications and effects of an advanced market-driven digital orientation, as the system’s users are the starting point for innovation and the creation of value. For a museum, it will be possible to access to an additional system of knowledge alongside that of its scientific staff. This process has profound implications in the way in which a museum presents itself and how it is perceived by its visitors and, in a wider sense, by the potential demand.

The paper consists in an exploratory effort to introduce an analytical framework for an evolved adaptive museum orientation system; the empirical investigation can be structured in the inductive-predictive view of assessing this promising debate further.

Implementing the IoT blueprint entails introducing a plethora of new products, services and business models, opening new routes to guide and direct cultural events. Now, more than ever, sustainable development involves an intrinsic balancing act between the pluralism of data and that of customer needs, which is achieved through the elaboration of digital data.