Essec\Faculty\Model\Profile {#2233
#_id: "B00270671"
#_source: array:40 [
"bid" => "B00270671"
"academId" => "34843"
"slug" => "ayoubi-charles"
"fullName" => "Charles AYOUBI"
"lastName" => "AYOUBI"
"firstName" => "Charles"
"title" => array:2 [
"fr" => "Professeur assistant"
"en" => "Assistant Professor"
]
"email" => "charles.ayoubi@essec.edu"
"status" => "ACTIF"
"campus" => "Campus de Cergy"
"departments" => []
"phone" => ""
"sites" => []
"facNumber" => "34843"
"externalCvUrl" => "https://faculty.essec.edu/cv/ayoubi-charles/pdf"
"googleScholarUrl" => "https://scholar.google.fr/citations?user=QvtQbbwAAAAJ&hl"
"facOrcId" => "https://orcid.org/0000-0002-0752-3328"
"career" => array:2 [
0 => Essec\Faculty\Model\CareerItem {#2238
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2024-09-01"
"endDate" => null
"isInternalPosition" => true
"type" => array:2 [
"fr" => "Positions académiques principales"
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"institution" => array:2 [
"fr" => "ESSEC Business School"
"en" => "ESSEC Business School"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "fr"
+"parent": Essec\Faculty\Model\Profile {#2233}
}
1 => Essec\Faculty\Model\CareerItem {#2232
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2021-01-01"
"endDate" => "2024-08-30"
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"type" => array:2 [
"en" => "Other Academic Appointments"
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]
"label" => array:2 [
"fr" => "Research Fellow"
"en" => "Research Fellow"
]
"institution" => array:2 [
"fr" => "Harvard Business School"
"en" => "Harvard Business School"
]
"country" => array:2 [
"fr" => "États-Unis"
"en" => "United States of America"
]
]
+lang: "fr"
+"parent": Essec\Faculty\Model\Profile {#2233}
}
]
"diplomes" => array:3 [
0 => Essec\Faculty\Model\Diplome {#2235
#_index: null
#_id: null
#_source: array:6 [
"diplome" => "DIPLOMA"
"type" => array:2 [
"fr" => "Diplômes"
"en" => "Diplomas"
]
"year" => "2020"
"label" => array:2 [
"en" => "Doctor of Philosophy, Economics"
"fr" => "Doctor of Philosophy, Economics"
]
"institution" => array:2 [
"fr" => "École polytechnique de Lausanne"
"en" => "École polytechnique de Lausanne"
]
"country" => array:2 [
"fr" => "Suisse"
"en" => "Switzerland"
]
]
+lang: "fr"
+"parent": Essec\Faculty\Model\Profile {#2233}
}
1 => Essec\Faculty\Model\Diplome {#2237
#_index: null
#_id: null
#_source: array:6 [
"diplome" => "DIPLOMA"
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"year" => "2014"
"label" => array:2 [
"en" => "Master of Science in Management, Management"
"fr" => "Grande école de commerce, Management"
]
"institution" => array:2 [
"fr" => "ESSEC Business School"
"en" => "ESSEC Business School"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "fr"
+"parent": Essec\Faculty\Model\Profile {#2233}
}
2 => Essec\Faculty\Model\Diplome {#2234
#_index: null
#_id: null
#_source: array:6 [
"diplome" => "DIPLOMA"
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"fr" => "Diplômes"
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"label" => array:2 [
"en" => "Master of Engineering, Engineering"
"fr" => "Ecole d'ingénieur, Ingénierie"
]
"institution" => array:2 [
"fr" => "École Centrale Paris"
"en" => "École Centrale Paris"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "fr"
+"parent": Essec\Faculty\Model\Profile {#2233}
}
]
"bio" => array:2 [
"fr" => "<p>Charles Ayoubi est Professeur Assistant à l'ESSEC Business School dont la recherche explore comment les organisations génèrent, évaluent et diffusent des idées innovantes. En combinant des expériences de terrain randomisées (RCT) et des analyses observationnelles, il révèle les divers facteurs humains et organisationnels qui façonnent les processus d'innovation, soulignant en particulier l'absence d'approche universelle pour gérer la créativité. Son travail accorde une attention particulière à la phase d'évaluation, où les décisions concernant les idées qui méritent d'être développées davantage peuvent influencer significativement le succès à long terme d'une organisation. Dans ses travaux plus récents, Charles examine en particulier comment l'IA générative redéfinit les différents stades du processus d'innovation au sein des organisation. Avant de rejoindre l'ESSEC, il était chercheur postdoctoral à la Harvard Business School et au Laboratory for Innovation Science at Harvard, étudiant les défis d'innovation dans les institutions scientifiques, les entreprises telles que Procter and Gamble ou Zapier, et les agences gouvernementales comme la NASA ou le FNS. Il est titulaire d'un doctorat en Economie de l'Innovation de l'Ecole Polytechnique Fédérale de Lausanne (EPFL). À travers sa recherche, Charles vise à offrir des perspectives fondées sur des preuves qui informent comment les organisations et les décideurs politiques peuvent exploiter les technologies émergentes, telles que les IA prédictives et génératives, pour améliorer la générations d'idées nouvelles, perfectionner les processus d'évaluation et, en fin de compte, diffuser les innovation les plus efficaces.</p>\n"
"en" => "<p><i>Charles Ayoubi is an Assistant Professor at ESSEC Business School whose research explores how organizations generate, evaluate, and diffuse innovative ideas. By combining field experiments (RCT), and observational analyses, he reveals the diverse human and organizational factors that shape innovation processes, emphasizing in particular that there is no one-size-fits-all approach to managing creativity. His work pays particular attention to the evaluation stage, where decisions about which ideas merit further development can significantly influence an organization’s long-term success. In more recent work, Charles has been examining in particular how generative AI redefines the innovation process within organizations. Prior to joining ESSEC, he was a research fellow at Harvard Business School and the Laboratory for Innovation Science at Harvard, investigating innovation challenges across scientific institutions, corporations such as Procter and Gamble or Zapier, and governmental agencies like NASA or the SNSF. He holds a PhD in Innovation Economics from the Ecole Polytechnique Fédérale de Lausanne. Through his research, Charles aims to offer evidence-based insights to inform organizations and policymakers how to leverage emerging technologies, such as predictive and generative AI, to enhance idea generation, improve evaluation processes, and ultimately drive more effective innovation diffusion.</i></p>\n"
]
"department" => array:2 [
"fr" => "Management"
"en" => "Management"
]
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"fr" => null
"en" => null
]
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"distinctions" => []
"teaching" => []
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"sitePerso" => "https://www.researchgate.net/profile/Charles-Ayoubi"
"indexedAt" => "2025-12-05T07:21:22.000Z"
"contributions" => array:6 [
0 => Essec\Faculty\Model\Contribution {#2239
#_index: "academ_contributions"
#_id: "15598"
#_source: array:18 [
"id" => "15598"
"slug" => "15598-would-archimedes-shout-eureka-if-he-had-google-the-transformative-impact-of-algorithms-on-expertise-in-the-innovation-process"
"yearMonth" => "2025-02"
"year" => "2025"
"title" => "Would Archimedes Shout "Eureka" if He Had Google? The Transformative Impact of Algorithms on Expertise in the Innovation Process"
"description" => "AYOUBI, C., LAZAR, M., LIFSHITZ, H. et EMINA, H. (2025). Would Archimedes Shout "Eureka" if He Had Google? The Transformative Impact of Algorithms on Expertise in the Innovation Process. Dans: 2025 Institute for Operations Research and the Management Sciences (INFORMS) Organization Science Winter Conference. Los Angeles."
"authors" => array:4 [
0 => array:3 [
"name" => "AYOUBI Charles"
"bid" => "B00270671"
"slug" => "ayoubi-charles"
]
1 => array:1 [
"name" => "LAZAR Moran"
]
2 => array:1 [
"name" => "LIFSHITZ Hila"
]
3 => array:1 [
"name" => "EMINA Hen"
]
]
"ouvrage" => "2025 Institute for Operations Research and the Management Sciences (INFORMS) Organization Science Winter Conference"
"keywords" => []
"updatedAt" => "2025-04-24 17:42:22"
"publicationUrl" => null
"publicationInfo" => array:3 [
"pages" => ""
"volume" => ""
"number" => ""
]
"type" => array:2 [
"fr" => "Communications dans une conférence"
"en" => "Presentations at an Academic or Professional conference"
]
"support_type" => array:2 [
"fr" => null
"en" => null
]
"countries" => array:2 [
"fr" => null
"en" => null
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"abstract" => array:2 [
"fr" => ""
"en" => ""
]
"authors_fields" => array:2 [
"fr" => "Management"
"en" => "Management"
]
"indexedAt" => "2025-12-05T07:21:43.000Z"
]
+lang: "fr"
+"_score": 7.8021536
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0 => "description.keyword"
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}
1 => Essec\Faculty\Model\Contribution {#2241
#_index: "academ_contributions"
#_id: "16086"
#_source: array:18 [
"id" => "16086"
"slug" => "16086-machine-learning-in-healthcare-a-new-pattern-of-diffusion-for-general-purpose-technologies"
"yearMonth" => "2025-11"
"year" => "2025"
"title" => "Machine learning in healthcare: a new pattern of diffusion for general purpose technologies"
"description" => "AYOUBI, C. et FORAY, D. (2025). Machine learning in healthcare: a new pattern of diffusion for general purpose technologies. <i>Economics of Innovation and New Technology</i>, pp. 1-32."
"authors" => array:2 [
0 => array:3 [
"name" => "AYOUBI Charles"
"bid" => "B00270671"
"slug" => "ayoubi-charles"
]
1 => array:1 [
"name" => "Foray Dominique"
]
]
"ouvrage" => ""
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"updatedAt" => "2025-11-12 11:39:29"
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"publicationInfo" => array:3 [
"pages" => "1-32"
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"countries" => array:2 [
"fr" => null
"en" => null
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"abstract" => array:2 [
"fr" => ""
"en" => ""
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"authors_fields" => array:2 [
"fr" => "Management"
"en" => "Management"
]
"indexedAt" => "2025-12-05T07:21:43.000Z"
]
+lang: "fr"
+"_score": 7.8021536
+"parent": null
}
2 => Essec\Faculty\Model\Contribution {#2243
#_index: "academ_contributions"
#_id: "16021"
#_source: array:18 [
"id" => "16021"
"slug" => "16021-would-archimedes-shout-eureka-with-algorithms-the-hidden-hand-of-algorithmic-design-in-idea-generation-the-creation-of-ideation-bubbles-and-how-experts-can-burst-them"
"yearMonth" => "2025-10"
"year" => "2025"
"title" => "Would Archimedes Shout “Eureka” with Algorithms? The Hidden Hand of Algorithmic Design in Idea Generation, the Creation of Ideation Bubbles, and How Experts Can Burst Them"
"description" => "LAZAR, M., LIFSHITZ, H., AYOUBI, C. et EMUNA, H. (2025). Would Archimedes Shout “Eureka” with Algorithms? The Hidden Hand of Algorithmic Design in Idea Generation, the Creation of Ideation Bubbles, and How Experts Can Burst Them. <i>Academy of Management Journal</i>, 68(5), pp. 881-906."
"authors" => array:4 [
0 => array:3 [
"name" => "AYOUBI Charles"
"bid" => "B00270671"
"slug" => "ayoubi-charles"
]
1 => array:1 [
"name" => "Lazar Moran"
]
2 => array:1 [
"name" => "Lifshitz Hila"
]
3 => array:1 [
"name" => "Emuna Hen"
]
]
"ouvrage" => ""
"keywords" => []
"updatedAt" => "2025-11-26 16:11:14"
"publicationUrl" => "https://doi.org/10.5465/amj.2023.1307"
"publicationInfo" => array:3 [
"pages" => "881-906"
"volume" => "68"
"number" => "5"
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"abstract" => array:2 [
"fr" => "Does “eureka” still ring true in the algorithmic age? This paper investigates algorithmic design and its impact on idea generation. The use of algorithms transforms knowledge work processes, redefining experts’ roles across industries. While experts are typically viewed as the cornerstone of knowledge work, an emerging debate is underway about whether expertise is still necessary in the idea generation process for creativity and innovation. Integrating creativity, expertise in knowledge work, and algorithmic design literatures, we theorize on the interplay between expertise and algorithmic design in idea generation. We suggest that the prevailing algorithmic design, focusing on information exploitation, is misaligned with the recombinant innovation processes needed for idea generation, especially for experts. We design an exploration-based modification to the prevalent exploitation-based algorithm—Google Search. We hypothesize that when using exploration-based algorithms, experts can overcome confirmation bias and generate more creative ideas through recombinant innovation. Moving beyond the individual level, experts are central to bursting “ideation bubbles”—clusters of similar ideas—thus enhancing idea diversity. We test our theory in a laboratory study and a field experiment through a global ideation challenge in sustainability launched on Freelancer. Findings offer insights into designing and using algorithms to augment human expertise for innovation."
"en" => "Does “eureka” still ring true in the algorithmic age? This paper investigates algorithmic design and its impact on idea generation. The use of algorithms transforms knowledge work processes, redefining experts’ roles across industries. While experts are typically viewed as the cornerstone of knowledge work, an emerging debate is underway about whether expertise is still necessary in the idea generation process for creativity and innovation. Integrating creativity, expertise in knowledge work, and algorithmic design literatures, we theorize on the interplay between expertise and algorithmic design in idea generation. We suggest that the prevailing algorithmic design, focusing on information exploitation, is misaligned with the recombinant innovation processes needed for idea generation, especially for experts. We design an exploration-based modification to the prevalent exploitation-based algorithm—Google Search. We hypothesize that when using exploration-based algorithms, experts can overcome confirmation bias and generate more creative ideas through recombinant innovation. Moving beyond the individual level, experts are central to bursting “ideation bubbles”—clusters of similar ideas—thus enhancing idea diversity. We test our theory in a laboratory study and a field experiment through a global ideation challenge in sustainability launched on Freelancer. Findings offer insights into designing and using algorithms to augment human expertise for innovation."
]
"authors_fields" => array:2 [
"fr" => "Management"
"en" => "Management"
]
"indexedAt" => "2025-12-05T07:21:43.000Z"
]
+lang: "fr"
+"_score": 7.8021536
+"_ignored": array:3 [
0 => "abstract.en.keyword"
1 => "abstract.fr.keyword"
2 => "description.keyword"
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+"parent": null
}
3 => Essec\Faculty\Model\Contribution {#2240
#_index: "academ_contributions"
#_id: "16058"
#_source: array:18 [
"id" => "16058"
"slug" => "16058-knowledge-diffusion-and-morality-why-do-we-freely-share-valuable-information-with-strangers"
"yearMonth" => "2023-01"
"year" => "2023"
"title" => "Knowledge diffusion and morality: Why do we freely share valuable information with Strangers?"
"description" => "AYOUBI, C. et THURM, B. (2023). Knowledge diffusion and morality: Why do we freely share valuable information with Strangers? <i>Journal of Economics and Management Strategy</i>, 32(1), pp. 75-99."
"authors" => array:2 [
0 => array:3 [
"name" => "AYOUBI Charles"
"bid" => "B00270671"
"slug" => "ayoubi-charles"
]
1 => array:1 [
"name" => "Thurm Boris"
]
]
"ouvrage" => ""
"keywords" => []
"updatedAt" => "2025-10-30 01:01:33"
"publicationUrl" => "https://doi.org/10.1111/jems.12496"
"publicationInfo" => array:3 [
"pages" => "75-99"
"volume" => "32"
"number" => "1"
]
"type" => array:2 [
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"support_type" => array:2 [
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"countries" => array:2 [
"fr" => null
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"abstract" => array:2 [
"fr" => "This article offers a model integrating heterogeneously moral preferences to overcome the seemingly irrational tendency of individuals to freely share data and knowledge. We build on recent literature showing that moral preferences are favored by evolution theoretically, and have a strong explanatory power empirically, to model individual sharing behavior. Our analysis highlights the limit of financial incentives and the importance of promoting a sharing culture by enhancing awareness. Shedding light on how people respond not only to financial but also moral motives, we contribute to the ongoing policy debate on the design of effective open science policies."
"en" => "This article offers a model integrating heterogeneously moral preferences to overcome the seemingly irrational tendency of individuals to freely share data and knowledge. We build on recent literature showing that moral preferences are favored by evolution theoretically, and have a strong explanatory power empirically, to model individual sharing behavior. Our analysis highlights the limit of financial incentives and the importance of promoting a sharing culture by enhancing awareness. Shedding light on how people respond not only to financial but also moral motives, we contribute to the ongoing policy debate on the design of effective open science policies."
]
"authors_fields" => array:2 [
"fr" => "Management"
"en" => "Management"
]
"indexedAt" => "2025-12-05T07:21:43.000Z"
]
+lang: "fr"
+"_score": 7.8021536
+"_ignored": array:2 [
0 => "abstract.en.keyword"
1 => "abstract.fr.keyword"
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}
4 => Essec\Faculty\Model\Contribution {#2244
#_index: "academ_contributions"
#_id: "16060"
#_source: array:18 [
"id" => "16060"
"slug" => "16060-the-important-thing-is-not-to-win-it-is-to-take-part-what-if-scientists-benefit-from-participating-in-research-grant-competitions"
"yearMonth" => "2019-02"
"year" => "2019"
"title" => "The important thing is not to win, it is to take part: What if scientists benefit from participating in research grant competitions?"
"description" => "AYOUBI, C., PEZZONI, M. et VISENTIN, F. (2019). The important thing is not to win, it is to take part: What if scientists benefit from participating in research grant competitions? <i>Research Policy</i>, 48(1), pp. 84-97."
"authors" => array:3 [
0 => array:3 [
"name" => "AYOUBI Charles"
"bid" => "B00270671"
"slug" => "ayoubi-charles"
]
1 => array:1 [
"name" => "Pezzoni Michele"
]
2 => array:1 [
"name" => "Visentin Fabiana"
]
]
"ouvrage" => ""
"keywords" => array:5 [
0 => "Competitive grants"
1 => "Public funding evaluation"
2 => "Scientific productivity"
3 => "Scientific collaboration"
4 => "Learning"
]
"updatedAt" => "2025-10-30 01:01:33"
"publicationUrl" => "https://doi.org/10.1016/j.respol.2018.07.021"
"publicationInfo" => array:3 [
"pages" => "84-97"
"volume" => "48"
"number" => "1"
]
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"support_type" => array:2 [
"fr" => "Revue scientifique"
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]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "“The important thing is not to win, it is to take part,” this famous saying by Pierre de Coubertin asserts that the value athletes draw from Olympic games lies in their participation in the event and not in the gold they collect during it. We find similar evidence for scientists involved in grant competitions. Relying on unique data from a Swiss funding program, we find that scientists taking part in a research grant competition boost their number of publications and average impact factor while extending their knowledge base and their collaboration network regardless of the result of the competition. Receiving the funds increases the probability of co-authoring with co-applicants but has no additional impact on the individual productivity."
"en" => "“The important thing is not to win, it is to take part,” this famous saying by Pierre de Coubertin asserts that the value athletes draw from Olympic games lies in their participation in the event and not in the gold they collect during it. We find similar evidence for scientists involved in grant competitions. Relying on unique data from a Swiss funding program, we find that scientists taking part in a research grant competition boost their number of publications and average impact factor while extending their knowledge base and their collaboration network regardless of the result of the competition. Receiving the funds increases the probability of co-authoring with co-applicants but has no additional impact on the individual productivity."
]
"authors_fields" => array:2 [
"fr" => "Management"
"en" => "Management"
]
"indexedAt" => "2025-12-05T07:21:43.000Z"
]
+lang: "fr"
+"_score": 7.8021536
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0 => "abstract.en.keyword"
1 => "abstract.fr.keyword"
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}
5 => Essec\Faculty\Model\Contribution {#2236
#_index: "academ_contributions"
#_id: "16059"
#_source: array:18 [
"id" => "16059"
"slug" => "16059-research-direction-and-science-evaluation-the-role-of-coherence-and-alignment"
"yearMonth" => "2025-10"
"year" => "2025"
"title" => "Research Direction and Science Evaluation: The Role of Coherence and Alignment"
"description" => "AYOUBI, C., BARBOSU, S., PEZZONI, M. et VISENTIN, F. (2025). Research Direction and Science Evaluation: The Role of Coherence and Alignment. <i>Journal of Economics and Management Strategy</i>, In press."
"authors" => array:4 [
0 => array:3 [
"name" => "AYOUBI Charles"
"bid" => "B00270671"
"slug" => "ayoubi-charles"
]
1 => array:1 [
"name" => "Barbosu Sandra"
]
2 => array:1 [
"name" => "Pezzoni Michele"
]
3 => array:1 [
"name" => "Visentin Fabiana"
]
]
"ouvrage" => ""
"keywords" => array:1 [
0 => "Academic evaluation"
]
"updatedAt" => "2025-10-29 15:46:22"
"publicationUrl" => "https://doi.org/10.1111/jems.70009"
"publicationInfo" => array:3 [
"pages" => ""
"volume" => "In press"
"number" => ""
]
"type" => array:2 [
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]
"countries" => array:2 [
"fr" => null
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"abstract" => array:2 [
"fr" => "The decisions of funding agencies greatly influence the direction of scientific research; however, our understanding of how applicants' research directions affect the selection process remains limited. In this study, we investigate how a project's coherence with a scientist's previous work and its alignment with current scientific trends affect the probability of winning a renowned research fellowship. Employing a neural network algorithm to compute these indicators, we analyze the text of 2494 research projects proposed by scholars competing for the Sloan Research Fellowship, one of the most prestigious fellowships for early-career researchers in North America. Our findings reveal notable differences across fields in the effect of coherence and alignment on the probability of being awarded, reflecting distinct organizational norms. For instance, applicants with coherent and aligned projects have higher chances of winning in life sciences & chemistry. In contrast, in physics, bibliometric measures such as the number of publications and citations outweigh research direction characteristics in the selection process. This study aims to offer valuable insights into the factors influencing scientific selection processes, exhibiting how they shape the research landscape for early-career scientists across various academic fields."
"en" => "The decisions of funding agencies greatly influence the direction of scientific research; however, our understanding of how applicants' research directions affect the selection process remains limited. In this study, we investigate how a project's coherence with a scientist's previous work and its alignment with current scientific trends affect the probability of winning a renowned research fellowship. Employing a neural network algorithm to compute these indicators, we analyze the text of 2494 research projects proposed by scholars competing for the Sloan Research Fellowship, one of the most prestigious fellowships for early-career researchers in North America. Our findings reveal notable differences across fields in the effect of coherence and alignment on the probability of being awarded, reflecting distinct organizational norms. For instance, applicants with coherent and aligned projects have higher chances of winning in life sciences & chemistry. In contrast, in physics, bibliometric measures such as the number of publications and citations outweigh research direction characteristics in the selection process. This study aims to offer valuable insights into the factors influencing scientific selection processes, exhibiting how they shape the research landscape for early-career scientists across various academic fields."
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