Innovation Management
Innovation Management
Coping with the unpredictable by developing the team's plasticity
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Coping with the unpredictable by developing the team’s plasticity

When time is of the essence and teams face unexpected contextual changes, they must adapt quickly, sometimes even in real time, that is, they may have to improvise. This paper adopts an inductive approach to explore how teams decide to engage in improvised adaptation, and what happens during those processes for improvisation to be successful. The study analyzes improvisation from the perspective of paradox theory and identifies six paradoxical tensions driven by these contexts: deployment, development, temporal, procedural, structural, and behavioral tensions. We propose a dynamic equilibrium model of team improvised adaptation that leads to team plasticity.

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The aim of this paper is to explore how a number of processes combined to create the micro-level strategies and procedures that resulted in the deadliest and most tragic forest fire in Portuguese history.
ABRANTES Antonio - TBS Education |
The existing literature has highlighted the relevance of collective intelligence to bring about successful collaboration between Artificial Intelligence (AI) tools and employees, and to bring about results that are valued by the organisation.
SOUMYADEB Chowdhury - TBS Education |
Circular Economy (CE) practices have the potential to increase the sustainable, societal and environmental performance of organisations and therefore contribute to meeting the United Nations Sustainable Development Goals. The objective of this research is to examine the adoption of sustainable practices by small and medium-sized enterprises (SMEs) and its impact on their environmental and societal performance.
SOUMYADEB Chowdhury - TBS Education |
The concept of an ‘entrepreneurial ecosystem’ has become a major means for both theorizing and making policy decisions concerning entrepreneurship, innovation and economic development. The notion of an entrepreneurial ecosystem captures the way in which entrepreneurship is increasingly performed and undertaken via the innate interdependencies existing between the elements and components of what are essentially biotic communities (consisting of complex interactions between human agents and an array of tangible and intangible components). This book takes a multi-lensed view and perspective on the emergence of entrepreneurship within ecosystems in cities and regions, the manner in which these ecosystems evolve and operate, as well as their future development. This introductory chapter provides some initial theoretical background relating the nature of ecosystems in the context of entrepreneurship and urban and regional development before providing a summary of the book’s three parts: (1) The Emergence of Entrepreneurial Ecosystems; (2) The Evolution of Entrepreneurial Ecosystems; and (3) The Future of Entrepreneurial Ecosystems.
THEODORAKI Christina - FNEGE |

Médias de la même thématique

This research compares student entrepreneurial ecosystems in France and Norway, focusing on how students access support, resources, and networks. In France, the system is centralized, driven by key actors like Student Hubs for Innovation, Transfer and Entrepreneurship, called PEPITE. In Norway, it is open and collaborative, with strong student associations and community ties. Using interviews and social network analysis, I explored the access and the circulation of information among actors in student entrepreneurial ecosystems. The results reveal different paths to innovation shaped by culture, policy, and education. Supporting student entrepreneurship is not just about funding or training. It’s about building inclusive ecosystems where students, mentors, and institutions work together.
HU Dijia - Faculté des Sciences Economiques et de Gestion Strasbourg |
Artificial intelligence is already transforming lives and organizations. It brings a huge potential, for example, to achieve hyper-performance. Which is not about adding more trainings. But rather finding and removing obstacles from human minds. And artificial intelligence can facilitate that efficiently. It can help us to learn more about our own intelligence. Thus, giving us a unique chance to finally re-unite both intelligences.
STIBE Agnis - EM Normandie |
It is a state of performance when all unnecessary human thought is minimized or completely suppressed. Such as bad judgments, distracting thoughts, subjective biases, bad decisions, etc. For example, employees may be reluctant to accept artificial intelligence. That means there’s something in their mind that stops them. That something is the root cause.
STIBE Agnis - EM Normandie |
Cette étude analyse 2 986 entreprises d’Amérique latine (2009–2017, base LAIS) pour comprendre comment les collaborations universités–entreprises influencent le lien entre dépenses d’innovation et résultats d’innovation. Les résultats montrent (1) une relation positive entre dépenses et résultats, et (2) un effet modérateur significatif de la collaboration universitaire : à budget équivalent, les entreprises partenaires des universités obtiennent davantage d’innovations. La qualité des partenariats compte autant que leur existence. Implications : structurer la coopération (objectifs, IP), investir dans le capital humain, et mobiliser les ressources académiques comme amplificateurs de capacité.
PLATA Carlos - EM Normandie |

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