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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.

This study was undertaken in order to show how talent management (TM) was performed in practice in a multinational organization as well as how the TM practices affected both different groups of workers and the perception of talent within the organization.

Performing talent management was reassessed in the relationship between TM practices, view and identification of talent, attributed positioning and self-positioning of older and younger workers; retrieved from an exploratory single case study in a multinational organization, based on interviews.

The findings illustrate that despite the struggling to fill key positions with skilled workers, the studied organization adopted approaches to TM that excluded older workers' talent. First, central to performing TM was how talent was viewed and identified, and second, two types of positioning acts were important: the organizations (re)producing of talent management through attributive positioning acts on older/younger workers and older workers' self-positioning of their own talent. The two sides of performing talent management were complex and intertwined resulting in an age-based devaluation of talent at work.

The study points to important issues in designing and performing TM that may be useful to HR and managers as a point of departure in the development of more inclusive approaches to TM.

The concept “performing talent management” was developed as an intertwined relationship between on-going positioning acts and (re)production of status, talent and age at work; recognizing preferences of what was viewed and identified as valued talent as main drivers made it possible to develop an understanding of exclusion and inclusion mechanisms in performing TM.