Information Systems
Information Systems
Designing Transformation for Hyper-Performance and Resilient Organizations
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Designing Transformation for Hyper-Performance and Resilient Organizations

The majority of global problems and organizational challenges are byproducts of poor human attitude and behavior. Inability to master rapid changes often leads to managerial inefficiently and inadequate business performance. Now, the corporate management can benefit from a practical three-step methodology when dealing with human behavior and related attitudinal change. It includes the typology of change, the vectoral model, and the transformation design framework containing eight practical tools. The novel methodology unifies knowledge about designing effective startegies for business acceleration across continents. It explains how disruptive innovations can go beyond limitations of traditional organizational designs and outdated motivational tools.

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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 |
Companies invest heavily in R&D, yet results can be uneven. Working with universities helps ideas move from plans to usable solutions—not only through patents or equipment, but through the human side of knowledge. When teams share language, simple routines, and learn together, they frame the problem the same way and avoid rework. Starting with a co-designed brief, giving academics a bit of protected time, and backing the project with capable legal and project-management support keep collaborations on track. Prestige may open the first door, but everyday joint work creates the real value: faster adoption, better processes, and skills that stay inside the firm. When universities recognise and reward these outcomes, partnerships deepen. The takeaway is simple: invest in the relationship that carries know-how, and R&D pays off more reliably.
PLATA Carlos - EM Normandie |

Médias de la même thématique

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 |
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 |
Our research investigates how management interventions can facilitate user adaptation to new information technology across implementation stages and usage contexts. Drawing on the Coping Model of User Adaptation, we propose a 2×2 coping framework, showing that tailored interventions—such as training, user participation, feedback handling, and change fairness—differently shape users’ beliefs (perceived usefulness and ease of use) and coping mechanisms. Empirical studies in both mandatory (police officers) and voluntary (university students) settings confirm that communal coping dominates in mandatory contexts while individual coping prevails in voluntary ones. Pre-implementation beliefs strongly influence post-implementation perceptions, and deep usage significantly enhances user performance and satisfaction. The study offers theoretical insights into adaptive processes and practical guidance for managers aiming to improve IT implementation success.
YU Nadia-Yin - NEOMA Business School |

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