Transformation Digitale
Digital Transformation
Collaboration between artificial intelligence and employees to create value in organisations
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Collaboration between artificial intelligence and employees to create value in organisations

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. Despite the many benefits offered by AI, such as the automation and optimisation of processes or the increase in human intelligence through superior analytical capabilities, the majority of companies still fail to anticipate or exploit these latter benefits. The main difficulty observed in organisations is that of introducing intelligent systems into workers’ practices, production processes and business strategies.

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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 |
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 |
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.
ABRANTES Antonio - 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 |

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More organizations use AI in the hiring process than ever before, yet the perceived ethicality of such processes seems to be mixed. With such variation in our views of AI in hiring, we need to understand how these perceptions impact the organizations that use it. In two studies, we investigate how ethical perceptions of using AI in hiring are related to perceptions of organizational attractiveness and innovativeness. Our findings indicate that ethical perceptions of using AI in hiring are positively related to perceptions of organizational attractiveness, both directly and indirectly via perceptions of innovativeness, with variations depending on the type of hiring method used. For instance, we find that individuals who consider it ethical for organizations to use AI in ways often considered to be intrusive to privacy, such as analyzing social media content, view such organizations as both more innovative and attractive.
FIGUEROA-ARMIJOS Maria - FNEGE |
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 |
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 |

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