Innovation Management
Innovation Management
Human artificial intelligence at the service of hyperperformance
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Human artificial intelligence at the service of hyperperformance

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. Once they work in sync, we have arrived at human artificial intelligence. A man-machine symbiosis. A human-technology co-evolution. A state where we leverage computing power to foster our evolution. So, let’s keep the balance right. Between the pace of technological advancements and human evolution.

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Médias de la même institution

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 |
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 |
Our goal was to understand the effectiveness of a company in attracting its customer targets. To do this, we have developed a model that links a company’s marketing activities to the mix of customers who buy from the company. Most marketing models simply ask how a company’s marketing activities influence the number of customers who buy the brand. We wondered how a company’s marketing activities influence the types of customers who buy the brand.
SINHA Shameek - EMLV |
Not-for-profit organizations have long faced the challenge of balancing budgets when they simultaneously seek to retain and recruit new donors. In principle, existing donors can be targeted based on their previous donation data. However, for new donors, this data is not available or may be difficult to obtain from secondary sources. What should non-profit organizations do? We suggest 2 alternatives.
SINHA Shameek - EMLV |

Médias de la même thématique

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 |
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 |

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