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Operating in a variety of countries, multinational companies (MNCs) experience a high variety and variability of physiological and contextual dynamics, requiring a more careful knowledge management approach. In this scenario, this paper aims to investigate the entrepreneurial facets and managerial aspects (entrepreneurial orientation/managerial intentionality) of MNCs’ internationalization from a knowledge-based perspective.

A theory-building approach is applied, involving a comparative case study of two MNCs conceived through the separation of a unique family business. Aiming to enrich the research about companies’ internationalization, some crucial elements are individuated to build a theoretical frame explaining the evolutionary paths of so-called born global.

This paper shows that companies’ internationalization development is based on a multiplicity of variables and underlines the need to incorporate different points of view when attempting to explain the dynamics of internationalization processes.

The empirical significance of the two cases does not legitimize theorization. However, this research presents interesting results that could be strengthened by a series of comparative case studies dealing with other MNCs or deeper quantitative investigation.

This research approach could be considered as stimulating by the scientific and managerial community, as the internationalization process is articulated by mixing managerial, entrepreneurial and cognitive aspects.

The purpose of this paper is to enrich the scientific and managerial debate on intangibles by placing the concept of key money within the broader concept of Intellectual Capital, and by proposing an evaluation approach for a portion of the latter, focusing the analysis on fashion retailers.

This research focuses on the fashion industry, given that key money gains particular significance and accounted for in fashion retailers' financial statements. A comparative case study is presented with regard to the application of two evaluation methods proposed to some fashion retailers operating in Italy.

This paper defines a suitable placement for key money within the vast structure of intellectual capital. The research shows that the two methods give “very close” key money values, thus laying the foundations for a theoretical articulation of interest to be further explored in future researches.

The document represents a first in-depth examination regarding the evaluation and inclusion of key money in the intellectual capital. A further element of originality lies in having interpreted the key money in a perspective closer to the world of intangibles and competitive strategies, to the detriment of the previous (meagre) settings that placed it within the real estate branches of study.

This study aims to offer an empirical analysis to identify the relation between the adoption of knowledge management practices and the improvement of social innovation capabilities as an outcome of the knowledge sharing. Specifically, social innovation capabilities are triggered by knowledge-sharing enablers, such as intrinsic and extrinsic socially driven motivations.

Based on a sample from 300 nonprofit organizations, the study explains causal relationships in terms of the multiplicity of triggers that act on a social innovation capability. The research applied the partial least squares structural equation modeling (PLS-SEM) method through SmartPLS 3.3 software. Data are collected from an online survey and highlight the employees’ and volunteers’ boost in nonprofit organizations to seek positive social change as a priority goal of their business model.

The results support the existence of a direct and positive relationship between knowledge-sharing enablers (i.e. intrinsic and extrinsic socially driven motivations), the mechanism of the formation of knowledge-sharing behaviors (an inside-out and outside-in process) and social innovation capabilities.

The study combines the open innovation framework with social innovation activities and investigates the role of knowledge sharing in the building of social innovation capabilities. To the best of the authors’ knowledge, the paper is the first attempt to describe a synergic framework, including open innovation literature, social innovation capability and knowledge-sharing processes.

This paper is a part of the research stream that focuses on the processes of distribution of knowledge flows along the boundaries of the organization. Thus, this study broadens the field of knowledge management and social innovation initiatives.

The aim of the study is to explore the genesis of entrepreneurial ecosystems (EE) and highlight the role played by intellectual capital (IC) in that process. Specifically, the paper adopts the collective intelligence approach, and the study shows how human capital (HC), structural capital (SC) and relational capital (RC) interact to create an entrepreneurial ecosystem.

The paper adopts a single case study of an Italian EE. The data analysis is based upon the collection of different sources of data: semi-structured interviews with representatives of each actor of the ecosystem; email correspondence; meetings report; a 24-months period of direct observation. Given the novelty of the topic, the qualitative method seems well suited for studying innovation-based EE since the method offers rich data about a phenomenon in real-life context.

The case is a top-down, innovation-based EE in which all main components of the IC play a crucial role from the initial stage. Findings show how the constant interchange between IC components occurs at two different levels: the micro and the meso level. HC and RC play major roles at both levels, whilst SC only occurs at a meso level, representing the environment in which the whole ecosystem takes place. Additionally, the use case, a new intangible asset integrating all three components of IC, emerged as one of the main outcomes of this innovation-based EE.

The paper contributes to a rather unexplored topic in the existing literature on EE and IC, namely the formation process of EE and the role played by IC within that process. Additionally, through the application of the collective intelligence approach, the authors shed light on the need to manage IC at both micro and meso level in the creation of an EE.