Essec\Faculty\Model\Profile {#2520
#_index: "academ_cv"
#_id: "B00791036"
#_source: array:39 [
"bid" => "B00791036"
"academId" => 30310
"slug" => "sepehri-amir"
"fullName" => "Amir SEPEHRI"
"lastName" => "SEPEHRI"
"firstName" => "Amir"
"title" => array:2 [
"fr" => "Professeur assistant"
"en" => "Assistant Professor"
]
"email" => "amir.sepehri@essec.edu"
"status" => "ACTIF"
"campus" => "Campus de Cergy"
"departments" => []
"phone" => null
"sites" => []
"facNumber" => 30310
"externalCvUrl" => "https://faculty.essec.edu/cv/sepehri-amir/pdf"
"googleScholarUrl" => null
"facOrcId" => "https://orcid.org/0000-0002-3228-3127"
"career" => array:1 [
0 => Essec\Faculty\Model\CareerItem {#2525
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2021-09-01"
"endDate" => null
"isInternalPosition" => true
"type" => array:2 [
"fr" => "Positions académiques principales"
"en" => "Full-time academic appointments"
]
"label" => array:2 [
"fr" => "Professeur assistant"
"en" => "Assistant Professor"
]
"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 {#2520}
}
]
"diplomes" => array:1 [
0 => Essec\Faculty\Model\Diplome {#2523
#_index: null
#_id: null
#_source: array:6 [
"diplome" => "DIPLOMA"
"type" => array:2 [
"fr" => "Diplômes"
"en" => "Diplomas"
]
"year" => "2021"
"label" => array:2 [
"en" => "Doctor of Philosophy, Other, Marketing"
"fr" => "Doctor of Philosophy, Autre, Marketing"
]
"institution" => array:2 [
"fr" => "Ivey Business School"
"en" => "Ivey Business School"
]
"country" => array:2 [
"fr" => "Canada"
"en" => "Canada"
]
]
+lang: "fr"
+"parent": Essec\Faculty\Model\Profile {#2520}
}
]
"bio" => array:2 [
"fr" => null
"en" => null
]
"department" => array:2 [
"fr" => "Marketing"
"en" => "Marketing"
]
"industrrySectors" => array:2 [
"fr" => null
"en" => null
]
"researchFields" => array:2 [
"fr" => "Prise de décision financière - Traitement de l'information des consommateurs sur les plateformes en ligne (p. ex. marketing numérique) - Analyse de texte - Analyse de données non structurées - Comportement du consommateur sur les plateformes en ligne - Big Data Analytics - Interaction entre l'humain et l'IA"
"en" => "Financial decision-making - Processing consumer information on online platforms (e.g. digital marketing) - Text analysis - Analysis of unstructured data - Consumer behaviour on online platforms - Big Data Analytics - Human-AI Interaction"
]
"teachingFields" => array:2 [
"fr" => "Marketing et analyses des données"
"en" => "Marketing and Data Analytics"
]
"distinctions" => []
"teaching" => []
"otherActivities" => []
"theses" => []
"indexedAt" => "2026-10-13T02:23:07.000Z"
"contributions" => array:16 [
0 => Essec\Faculty\Model\Contribution {#2526
#_index: "academ_contributions"
#_id: "12699"
#_source: array:18 [
"id" => 12699
"slug" => "12699-the-location-of-maximum-emotion-in-deceptive-and-truthful-texts"
"yearMonth" => "2021-08"
"year" => 2021
"title" => "The Location of Maximum Emotion in Deceptive and Truthful Texts"
"description" => "SEPEHRI, A., MARKOWITZ, D.M. et DUCLOS, R. (2021). The Location of Maximum Emotion in Deceptive and Truthful Texts. <i>Social Psychological and Personality Science</i>, 12(6), pp. 996-1004."
"authors" => array:3 [
0 => array:3 [
"name" => "SEPEHRI Amir"
"bid" => "B00791036"
"slug" => "sepehri-amir"
]
1 => array:1 [
"name" => "MARKOWITZ David M."
]
2 => array:1 [
"name" => "DUCLOS Rod"
]
]
"ouvrage" => ""
"keywords" => array:5 [
0 => "language"
1 => "emotion"
2 => "persuasion"
3 => "research methods"
4 => "communication"
]
"updatedAt" => "2023-01-27 01:00:41"
"publicationUrl" => "https://journals.sagepub.com/doi/full/10.1177/1948550620949730"
"publicationInfo" => array:3 [
"pages" => "996-1004"
"volume" => "12"
"number" => "6"
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "Meta-analytic evidence suggests that verbal patterns of emotion betray deceit, but it is presently unclear whether the location of maximum emotion in lies and truths matters to reveal deception. We contribute to the deception literature by offering analyses at the sentence level to locate where emotion is most pronounced in deceptive versus truthful texts. Using two public data sets—news articles (Study 1) and hotel reviews (Study 2)—we found that maximum emotion occurs toward the beginning of deceptive texts while maximum emotion appears later for truthful texts. In addition to demonstrating the effect across diverse settings, we used two different measurements for emotion and separated the results by valence, replicating the maximum emotion effect each time. The predictive nature of maximum affect ranged from 54% to 56% across data sets, a rate consistent with most deception studies using 50-50 lie–truth base rates. Implications for future research and deception theory are discussed."
"en" => "Meta-analytic evidence suggests that verbal patterns of emotion betray deceit, but it is presently unclear whether the location of maximum emotion in lies and truths matters to reveal deception. We contribute to the deception literature by offering analyses at the sentence level to locate where emotion is most pronounced in deceptive versus truthful texts. Using two public data sets—news articles (Study 1) and hotel reviews (Study 2)—we found that maximum emotion occurs toward the beginning of deceptive texts while maximum emotion appears later for truthful texts. In addition to demonstrating the effect across diverse settings, we used two different measurements for emotion and separated the results by valence, replicating the maximum emotion effect each time. The predictive nature of maximum affect ranged from 54% to 56% across data sets, a rate consistent with most deception studies using 50-50 lie–truth base rates. Implications for future research and deception theory are discussed."
]
"authors_fields" => array:2 [
"fr" => "Marketing"
"en" => "Marketing"
]
"indexedAt" => "2026-10-13T02:23:32.000Z"
]
+lang: "fr"
+"_score": 6.850147
+"_ignored": array:2 [
0 => "abstract.en.keyword"
1 => "abstract.fr.keyword"
]
+"parent": null
}
1 => Essec\Faculty\Model\Contribution {#2524
#_index: "academ_contributions"
#_id: "12700"
#_source: array:18 [
"id" => 12700
"slug" => "12700-the-power-of-indirect-appeals-in-peer%e2%80%90to%e2%80%90peer-fundraising-why-s-he-can-raise-more-money-for-me-than-i-can-for-myself"
"yearMonth" => "2021-07"
"year" => 2021
"title" => "The Power of Indirect Appeals in Peer‐to‐Peer Fundraising: Why “S/He” Can Raise More Money for Me Than “I” Can For Myself"
"description" => "SEPEHRI, A., DUCLOS, R., KRISTOFFERSON, K., VINOO, P. et ELAHI, H. (2021). The Power of Indirect Appeals in Peer‐to‐Peer Fundraising: Why “S/He” Can Raise More Money for Me Than “I” Can For Myself. <i>Journal of Consumer Psychology</i>, 31(3), pp. 612-620."
"authors" => array:5 [
0 => array:3 [
"name" => "SEPEHRI Amir"
"bid" => "B00791036"
"slug" => "sepehri-amir"
]
1 => array:1 [
"name" => "DUCLOS Rod"
]
2 => array:1 [
"name" => "KRISTOFFERSON Kirk"
]
3 => array:1 [
"name" => "VINOO Poornima"
]
4 => array:1 [
"name" => "ELAHI Hamid"
]
]
"ouvrage" => ""
"keywords" => []
"updatedAt" => "2023-01-27 01:00:41"
"publicationUrl" => "https://myscp.onlinelibrary.wiley.com/doi/abs/10.1002/jcpy.1232#"
"publicationInfo" => array:3 [
"pages" => "612-620"
"volume" => "31"
"number" => "3"
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "The proliferation of peer-to-peer fundraising platforms (e.g., GoFundMe, Rally, Fundly) poses conceptual and substantive challenges for behavior scientists and fundraisers. This article explores how fundraisers should craft their appeals to maximize their chance of success. Four field- and laboratory-studies find that direct appeals (i.e., narratives written in the first person by the intended recipient) raise less money than otherwise-identical indirect appeals (i.e., narratives written in the third person, seemingly by a third party on behalf of the intended recipient). The cause? Prospective donors ascribe lesser (greater) credibility to direct (indirect) appeals, which in turn curtails (increases) their giving. Since the narrative voice (direct vs. indirect) in which appeals are crafted is often discretionary (i.e., adjustable), our findings offer prescriptive guidelines for fundraisers."
"en" => "The proliferation of peer-to-peer fundraising platforms (e.g., GoFundMe, Rally, Fundly) poses conceptual and substantive challenges for behavior scientists and fundraisers. This article explores how fundraisers should craft their appeals to maximize their chance of success. Four field- and laboratory-studies find that direct appeals (i.e., narratives written in the first person by the intended recipient) raise less money than otherwise-identical indirect appeals (i.e., narratives written in the third person, seemingly by a third party on behalf of the intended recipient). The cause? Prospective donors ascribe lesser (greater) credibility to direct (indirect) appeals, which in turn curtails (increases) their giving. Since the narrative voice (direct vs. indirect) in which appeals are crafted is often discretionary (i.e., adjustable), our findings offer prescriptive guidelines for fundraisers."
]
"authors_fields" => array:2 [
"fr" => "Marketing"
"en" => "Marketing"
]
"indexedAt" => "2026-10-13T02:23:32.000Z"
]
+lang: "fr"
+"_score": 6.850147
+"_ignored": array:2 [
0 => "abstract.en.keyword"
1 => "abstract.fr.keyword"
]
+"parent": null
}
2 => Essec\Faculty\Model\Contribution {#2528
#_index: "academ_contributions"
#_id: "12701"
#_source: array:18 [
"id" => 12701
"slug" => "12701-too-much-of-a-good-thing-the-unforeseen-cost-of-tags-in-online-retailing"
"yearMonth" => "2022-06"
"year" => 2022
"title" => "Too Much of a Good Thing? The Unforeseen Cost of Tags in Online Retailing"
"description" => "SEPEHRI, A., DUCLOS, R. et HAGHIGHI, N. (2022). Too Much of a Good Thing? The Unforeseen Cost of Tags in Online Retailing. <i>International Journal of Research in Marketing</i>, 39(2), pp. 336-348."
"authors" => array:3 [
0 => array:3 [
"name" => "SEPEHRI Amir"
"bid" => "B00791036"
"slug" => "sepehri-amir"
]
1 => array:1 [
"name" => "DUCLOS Rod"
]
2 => array:1 [
"name" => "HAGHIGHI Nasir"
]
]
"ouvrage" => ""
"keywords" => array:3 [
0 => "Search-Engine Optimization (SEO)"
1 => "Categorization"
2 => "Online reviews"
]
"updatedAt" => "2023-05-24 16:26:03"
"publicationUrl" => "https://www.sciencedirect.com/science/article/pii/S0167811621000859#!"
"publicationInfo" => array:3 [
"pages" => "336-348"
"volume" => "39"
"number" => "2"
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "The advent of internet shopping brings countless options for consumers. In response, online retailers aim to facilitate search by attaching descriptive terms to their inventory (e.g., product genres or categories). Called “tagging,” such a practice has been shown to increase product visibility/exposure in an otherwise limitless sea of options. Across five distinct platforms covering a gamut of consumer domains (i.e., food recipes, mobile games, books, videos, and journal publications), we find that the benefits of tagging for product visibility/exposure come with unexpected costs. Indeed, though assigning more tags to a product does indeed boost its visibility/exposure online, doing so also hurts said product’s perceived quality. This effect emerges regardless of proxies used to quantify (i) visibility/exposure or (ii) product liking. We draw on categorization and learning research to explain these results. While multi-tagging increases the likelihood of a product to appear in consumers’ search, it also increases the likelihood of a mismatch between what consumers really sought and what said product can actually deliver."
"en" => "The advent of internet shopping brings countless options for consumers. In response, online retailers aim to facilitate search by attaching descriptive terms to their inventory (e.g., product genres or categories). Called “tagging,” such a practice has been shown to increase product visibility/exposure in an otherwise limitless sea of options. Across five distinct platforms covering a gamut of consumer domains (i.e., food recipes, mobile games, books, videos, and journal publications), we find that the benefits of tagging for product visibility/exposure come with unexpected costs. Indeed, though assigning more tags to a product does indeed boost its visibility/exposure online, doing so also hurts said product’s perceived quality. This effect emerges regardless of proxies used to quantify (i) visibility/exposure or (ii) product liking. We draw on categorization and learning research to explain these results. While multi-tagging increases the likelihood of a product to appear in consumers’ search, it also increases the likelihood of a mismatch between what consumers really sought and what said product can actually deliver."
]
"authors_fields" => array:2 [
"fr" => "Marketing"
"en" => "Marketing"
]
"indexedAt" => "2026-10-13T02:23:32.000Z"
]
+lang: "fr"
+"_score": 6.850147
+"_ignored": array:2 [
0 => "abstract.en.keyword"
1 => "abstract.fr.keyword"
]
+"parent": null
}
3 => Essec\Faculty\Model\Contribution {#2519
#_index: "academ_contributions"
#_id: "14109"
#_source: array:18 [
"id" => 14109
"slug" => "14109-passivepy-a-tool-to-automatically-identify-passive-voice-in-big-text-data"
"yearMonth" => "2023-10"
"year" => 2023
"title" => "PassivePy: A tool to automatically identify passive voice in big text data"
"description" => "SEPEHRI, A., MIRSHAFIEE, M.S. et MARKOWITZ, D.M. (2023). PassivePy: A tool to automatically identify passive voice in big text data. <i>Journal of Consumer Psychology</i>, 33(4), pp. 714-727."
"authors" => array:3 [
0 => array:3 [
"name" => "SEPEHRI Amir"
"bid" => "B00791036"
"slug" => "sepehri-amir"
]
1 => array:1 [
"name" => "MIRSHAFIEE Mitra Sadat"
]
2 => array:1 [
"name" => "MARKOWITZ David M."
]
]
"ouvrage" => ""
"keywords" => array:3 [
0 => "grammatical voice"
1 => "passive voice"
2 => "automated text analysis"
]
"updatedAt" => "2024-10-31 13:51:19"
"publicationUrl" => "https://doi.org/10.1002/jcpy.1377"
"publicationInfo" => array:3 [
"pages" => "714-727"
"volume" => "33"
"number" => "4"
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "The academic study of grammatical voice (e.g., active and passive voice) has a long history in the social sciences. It has been examined in relation to psychological distance, attribution, credibility, and deception. Most evaluations of passive voice are experimental or small-scale field studies, however, and perhaps one reason for its lack of adoption is the difficulty associated with obtaining valid, reliable, and replicable results through automated means. We introduce an automated tool to identify passive voice from large-scale text data, PassivePy, a Python package (readymade website: https://passivepy.streamlit.app/). This package achieves 98% agreement with human coded data for grammatical voice as revealed in two large validation studies. In this paper, we discuss how PassivePy works, and present preliminary empirical evidence of how passive voice connects to various behavioral outcomes across three contexts relevant to consumer psychology: product complaints, online reviews, and charitable giving. Future research can build on this work and further explore the potential relevance of passive voice to consumer psychology and beyond."
"en" => "The academic study of grammatical voice (e.g., active and passive voice) has a long history in the social sciences. It has been examined in relation to psychological distance, attribution, credibility, and deception. Most evaluations of passive voice are experimental or small-scale field studies, however, and perhaps one reason for its lack of adoption is the difficulty associated with obtaining valid, reliable, and replicable results through automated means. We introduce an automated tool to identify passive voice from large-scale text data, PassivePy, a Python package (readymade website: https://passivepy.streamlit.app/). This package achieves 98% agreement with human coded data for grammatical voice as revealed in two large validation studies. In this paper, we discuss how PassivePy works, and present preliminary empirical evidence of how passive voice connects to various behavioral outcomes across three contexts relevant to consumer psychology: product complaints, online reviews, and charitable giving. Future research can build on this work and further explore the potential relevance of passive voice to consumer psychology and beyond."
]
"authors_fields" => array:2 [
"fr" => "Marketing"
"en" => "Marketing"
]
"indexedAt" => "2026-10-13T02:23:32.000Z"
]
+lang: "fr"
+"_score": 6.850147
+"_ignored": array:2 [
0 => "abstract.en.keyword"
1 => "abstract.fr.keyword"
]
+"parent": null
}
4 => Essec\Faculty\Model\Contribution {#2529
#_index: "academ_contributions"
#_id: "15171"
#_source: array:18 [
"id" => 15171
"slug" => "15171-ideas-worth-spreading-when-how-and-for-whom-information-load-hurts-online-talks-popularity"
"yearMonth" => "2025-02"
"year" => 2025
"title" => "Ideas Worth Spreading? When, How, and for Whom Information Load Hurts Online Talks’ Popularity"
"description" => "SEPEHRI, A., DUCLOS, R. et HAGHIGHI, N. (2025). Ideas Worth Spreading? When, How, and for Whom Information Load Hurts Online Talks’ Popularity. <i>Journal of Personality and Social Psychology</i>, 128(2), pp. 281-299."
"authors" => array:3 [
0 => array:3 [
"name" => "SEPEHRI Amir"
"bid" => "B00791036"
"slug" => "sepehri-amir"
]
1 => array:1 [
"name" => "DUCLOS Rod"
]
2 => array:1 [
"name" => "HAGHIGHI Nasir"
]
]
"ouvrage" => ""
"keywords" => array:3 [
0 => "processing fluency"
1 => "online talks"
2 => "virality"
]
"updatedAt" => "2025-03-24 16:24:39"
"publicationUrl" => "https://doi.org/10.1037/pspa0000430"
"publicationInfo" => array:3 [
"pages" => "281-299"
"volume" => "128"
"number" => "2"
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "What makes cultural products such as edutainment (i.e., online talks) successful versus not? Asked differently, which characteristics make certain addresses more (vs. less) appealing? Across 12 field and lab studies, we explore when, why, and for whom the information load carried in TED talks causes them to gain (vs. lose) popularity. First and foremost, we uncover a negative effect whereby increases in the number of topics broached in a talk (i.e., information load) hurt viewer adoption. The cause? Processing disfluency. As information load soars, content becomes more difficult to process, which in turn reduces interest. Probing process further, we show this effect fades among audience members with greater need for cognition, a personality trait marking a penchant for deep and broad information processing. Similarly, the effect fades among edutainment viewers favoring education goals (i.e., cognitive enrichment) whereas it amplifies among those favoring entertainment (i.e., hedonic pleasure). Our investigation also documents the counterintuitiveness of our findings (i.e., how individuals mispredict which talks they would actually [dis]like). From these results, we derive theoretical insights for processing fluency research and the psychology of cultural products adoption (i.e., we weigh in on when, why, and for whom fluency has favorable vs. unfavorable downstream effects). We also derive prescriptive insights for (a) players of the edutainment industry whose very business hinges on curating appealing content (e.g., TED, Talks@Google, The Moth, Big Think, Spotify) and (b) communicators of all creeds wishing to broaden their reach and appeal (e.g., professors, scientists, politicians, journalists, bloggers, podcasters, content editors, online community managers). (PsycInfo Database Record (c) 2024 APA, all rights reserved)"
"en" => "What makes cultural products such as edutainment (i.e., online talks) successful versus not? Asked differently, which characteristics make certain addresses more (vs. less) appealing? Across 12 field and lab studies, we explore when, why, and for whom the information load carried in TED talks causes them to gain (vs. lose) popularity. First and foremost, we uncover a negative effect whereby increases in the number of topics broached in a talk (i.e., information load) hurt viewer adoption. The cause? Processing disfluency. As information load soars, content becomes more difficult to process, which in turn reduces interest. Probing process further, we show this effect fades among audience members with greater need for cognition, a personality trait marking a penchant for deep and broad information processing. Similarly, the effect fades among edutainment viewers favoring education goals (i.e., cognitive enrichment) whereas it amplifies among those favoring entertainment (i.e., hedonic pleasure). Our investigation also documents the counterintuitiveness of our findings (i.e., how individuals mispredict which talks they would actually [dis]like). From these results, we derive theoretical insights for processing fluency research and the psychology of cultural products adoption (i.e., we weigh in on when, why, and for whom fluency has favorable vs. unfavorable downstream effects). We also derive prescriptive insights for (a) players of the edutainment industry whose very business hinges on curating appealing content (e.g., TED, Talks@Google, The Moth, Big Think, Spotify) and (b) communicators of all creeds wishing to broaden their reach and appeal (e.g., professors, scientists, politicians, journalists, bloggers, podcasters, content editors, online community managers). (PsycInfo Database Record (c) 2024 APA, all rights reserved)"
]
"authors_fields" => array:2 [
"fr" => "Marketing"
"en" => "Marketing"
]
"indexedAt" => "2026-10-13T02:23:32.000Z"
]
+lang: "fr"
+"_score": 6.850147
+"_ignored": array:2 [
0 => "abstract.en.keyword"
1 => "abstract.fr.keyword"
]
+"parent": null
}
5 => Essec\Faculty\Model\Contribution {#2522
#_index: "academ_contributions"
#_id: "15659"
#_source: array:18 [
"id" => 15659
"slug" => "15659-the-impact-of-accent-on-anthropomorphism-and-downstream-user-engagement-with-voicebots"
"yearMonth" => "2024-09"
"year" => 2024
"title" => "The Impact of Accent on Anthropomorphism and Downstream User Engagement with Voicebots"
"description" => "HAJIGHASEMI, M., SEPEHRI, A. et LAMBERTON, C. (2024). The Impact of Accent on Anthropomorphism and Downstream User Engagement with Voicebots. Dans: 2024 Association for Consumer Research. Paris."
"authors" => array:3 [
0 => array:3 [
"name" => "SEPEHRI Amir"
"bid" => "B00791036"
"slug" => "sepehri-amir"
]
1 => array:1 [
"name" => "HAJIGHASEMI Mohammadhesam"
]
2 => array:1 [
"name" => "LAMBERTON Cait"
]
]
"ouvrage" => "2024 Association for Consumer Research"
"keywords" => []
"updatedAt" => "2025-05-02 16:05:56"
"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
]
"abstract" => array:2 [
"fr" => ""
"en" => ""
]
"authors_fields" => array:2 [
"fr" => "Marketing"
"en" => "Marketing"
]
"indexedAt" => "2026-10-13T02:23:32.000Z"
]
+lang: "fr"
+"_score": 6.850147
+"parent": null
}
6 => Essec\Faculty\Model\Contribution {#2527
#_index: "academ_contributions"
#_id: "16309"
#_source: array:18 [
"id" => 16309
"slug" => "16309-ideas-worth-spreading"
"yearMonth" => "2025-07"
"year" => 2025
"title" => "Ideas worth spreading"
"description" => "SEPEHRI, A. (2025). Ideas worth spreading. <i>ESSEC Knowledge</i>."
"authors" => array:1 [
0 => array:3 [
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"indexedAt" => "2026-10-13T02:23:32.000Z"
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}
7 => Essec\Faculty\Model\Contribution {#2530
#_index: "academ_contributions"
#_id: "16563"
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"slug" => "16563-narrating-negative-experiences-on-behalf-of-self-vs-other-use-of-passive-voice"
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"year" => 2025
"title" => "Narrating Negative Experiences on Behalf of Self vs. Other: Use of Passive Voice"
"description" => "SEPEHRI, A. et HAJIGHASEMI, M. (2025). Narrating Negative Experiences on Behalf of Self vs. Other: Use of Passive Voice. Dans: 2025 European Marketing Academy (EMAC) Spring Conference. Madrid."
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8 => Essec\Faculty\Model\Contribution {#2531
#_index: "academ_contributions"
#_id: "16805"
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"slug" => "16805-think-political-leader-think-he-or-she-a-multi-country-test-of-a-gender-fair-language-intervention-to-reduce-gendered-leadership-stereotypes"
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"title" => "Think political leader — think he or she? A multi-country test of a gender-fair language intervention to reduce gendered leadership stereotypes"
"description" => "PETERS, K., JEFTIĆ, A., BALLARD, T., ZHOU, S., STEFFENS, N.K., INCEOGLU, I. ... ZIÓŁKOWSKI, A. (2026). Think political leader — think he or she? A multi-country test of a gender-fair language intervention to reduce gendered leadership stereotypes. <i>The Leadership Quarterly</i>, 37(6), pp. 101991."
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273 => array:1 [
"name" => "Roberts S. Craig"
]
274 => array:1 [
"name" => "Roczniewska Marta A."
]
275 => array:1 [
"name" => "Röer Jan Philipp"
]
276 => array:1 [
"name" => "Rohmann Anette"
]
277 => array:1 [
"name" => "Rosenberger Erika J."
]
278 => array:1 [
"name" => "Ross Robert M."
]
279 => array:1 [
"name" => "Roth Leopold Helmut Otto"
]
280 => array:1 [
"name" => "Ruiz-Fernandez Susana"
]
281 => array:1 [
"name" => "Russell Shawn M."
]
282 => array:1 [
"name" => "Sabbar Shaho"
]
283 => array:1 [
"name" => "Sahli Fatima Zahra"
]
284 => array:1 [
"name" => "Sanden Guro R."
]
285 => array:1 [
"name" => "Abbate Costanza Scaffidi"
]
286 => array:1 [
"name" => "Schäfer Sarina J."
]
287 => array:1 [
"name" => "Schmidt Kathleen"
]
288 => array:1 [
"name" => "Schnepf Julia"
]
289 => array:1 [
"name" => "Schorch Sebastian L."
]
290 => array:1 [
"name" => "Schwartz-Salazar Sofía"
]
291 => array:1 [
"name" => "Scigala Karolina Aleksandra"
]
292 => array:1 [
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]
293 => array:1 [
"name" => "Şen-Gümüştaş Esra Cansu"
]
294 => array:1 [
"name" => "Serobyan Astghik"
]
295 => array:1 [
"name" => "Shalvi Shaul"
]
296 => array:1 [
"name" => "Siegler Anna"
]
297 => array:1 [
"name" => "Silberg Michal"
]
298 => array:1 [
"name" => "Silberg Slavka"
]
299 => array:1 [
"name" => "Sinanović Emina"
]
300 => array:1 [
"name" => "Liljaharju Samuel"
]
301 => array:1 [
"name" => "Skewes Lea"
]
302 => array:1 [
"name" => "Smith Adam R."
]
303 => array:1 [
"name" => "Solak Çağlar"
]
304 => array:1 [
"name" => "Sonmez Fatih"
]
305 => array:1 [
"name" => "Sorokowska Agnieszka"
]
306 => array:1 [
"name" => "Sorokowski Piotr"
]
307 => array:1 [
"name" => "Šrol Jakub"
]
308 => array:1 [
"name" => "Stanke Franziska A."
]
309 => array:1 [
"name" => "Stenling Andreas"
]
310 => array:1 [
"name" => "STEPHAN Maud"
]
311 => array:1 [
"name" => "Stern Julia"
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312 => array:1 [
"name" => "Storage Daniel"
]
313 => array:1 [
"name" => "Studzińska Anna M."
]
314 => array:1 [
"name" => "Suh Jihyun"
]
315 => array:1 [
"name" => "Suitner Caterina"
]
316 => array:1 [
"name" => "Szaszi Barnabas"
]
317 => array:1 [
"name" => "Szmidka Alicja Jadwiga"
]
318 => array:1 [
"name" => "Szumowska Ewa"
]
319 => array:1 [
"name" => "Szwinge Olivia B."
]
320 => array:1 [
"name" => "Tafvelin Susanne"
]
321 => array:1 [
"name" => "Takizawa Ruri"
]
322 => array:1 [
"name" => "Tasa Hande"
]
323 => array:1 [
"name" => "Tasios Theodosios"
]
324 => array:1 [
"name" => "Tavel Peter"
]
325 => array:1 [
"name" => "Tejada Julian"
]
326 => array:1 [
"name" => "Temel Ahmet"
]
327 => array:1 [
"name" => "Tevichapong Passagorn"
]
328 => array:1 [
"name" => "Tham Yukari Jessica"
]
329 => array:1 [
"name" => "Todosijević Marija"
]
330 => array:1 [
"name" => "Tome Natalia L."
]
331 => array:1 [
"name" => "Tonini Fernando"
]
332 => array:1 [
"name" => "Tønnesen Mathilde H."
]
333 => array:1 [
"name" => "Torres Sergio C."
]
334 => array:1 [
"name" => "Tragantzopoulou Panagiota"
]
335 => array:1 [
"name" => "Trémolière Bastien"
]
336 => array:1 [
"name" => "Tuominen Jarno"
]
337 => array:1 [
"name" => "Ullenboom Jil"
]
338 => array:1 [
"name" => "Uluğ Özden Melis"
]
339 => array:1 [
"name" => "Ursu Andreea"
]
340 => array:1 [
"name" => "Veer Anna Elisabeth van ’t"
]
341 => array:1 [
"name" => "Vaidis David C."
]
342 => array:1 [
"name" => "van Gils Suzanne"
]
343 => array:1 [
"name" => "Vaughn Leigh Ann"
]
344 => array:1 [
"name" => "Vercillo Marta"
]
345 => array:1 [
"name" => "Vianello Michelangelo"
]
346 => array:1 [
"name" => "Gonzalez Maria Elena Villarreal"
]
347 => array:1 [
"name" => "Vincze Orsolya"
]
348 => array:1 [
"name" => "dos Santos Miranda Vivian"
]
349 => array:1 [
"name" => "Vogel Susanne"
]
350 => array:1 [
"name" => "Vojtisek Tomas"
]
351 => array:1 [
"name" => "von Thiele Schwarz Ulrica"
]
352 => array:1 [
"name" => "Vranka Marek"
]
353 => array:1 [
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]
354 => array:1 [
"name" => "B.Walczak Radosław"
]
355 => array:1 [
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]
356 => array:1 [
"name" => "Wibowo Rahmadina Syarafina"
]
357 => array:1 [
"name" => "Williams James S."
]
358 => array:1 [
"name" => "Wojciechowska Mirella"
]
359 => array:1 [
"name" => "Wood Pujith Niel"
]
360 => array:1 [
"name" => "Wu Deborah J."
]
361 => array:1 [
"name" => "Wu Qingyang"
]
362 => array:1 [
"name" => "Wuolio Mariel Pauliina"
]
363 => array:1 [
"name" => "Xia Ziqian"
]
364 => array:1 [
"name" => "Yang Tao"
]
365 => array:1 [
"name" => "Yang Chunhui"
]
366 => array:1 [
"name" => "Yang Jane Jingyao"
]
367 => array:1 [
"name" => "Ye Jinquan"
]
368 => array:1 [
"name" => "Yousefi-Gerakouhi Niyayesh"
]
369 => array:1 [
"name" => "Yüce-Selvi Ümran"
]
370 => array:1 [
"name" => "Yustisia Whinda"
]
371 => array:1 [
"name" => "Zaharia Daniela Victoria"
]
372 => array:1 [
"name" => "Zayets Inesa"
]
373 => array:1 [
"name" => "Zdun-Ryżewska Agata"
]
374 => array:1 [
"name" => "Zdybek Przemyslaw"
]
375 => array:1 [
"name" => "Zhao Xian"
]
376 => array:1 [
"name" => "Zheng Wang"
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377 => array:1 [
"name" => "Zickfeld Janis H."
]
378 => array:1 [
"name" => "Zidkova Radka"
]
379 => array:1 [
"name" => "Ziółkowski Artur"
]
]
"ouvrage" => ""
"keywords" => []
"updatedAt" => "2026-09-25 11:26:36"
"publicationUrl" => "https://doi.org/10.1016/j.leaqua.2026.101991"
"publicationInfo" => array:3 [
"pages" => "101991"
"volume" => "37"
"number" => "6"
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
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"abstract" => array:2 [
"fr" => "Women are greatly underrepresented in positions of political leadership around the world. In seeking to explain this underrepresentation, some researchers have pointed to people's tendencies to stereotype leaders as more similar to men than women as these tendencies can support the belief that women are unsuited to leadership. This project aimed to test whether a subtle linguistic intervention was able to ameliorate this gender bias in political leadership stereotypes across different languages and national contexts (country/region N = 42, language N = 30, sample N = 22,996). Specifically, this project examined whether gender-fair language (e.g., the use of paired pronouns ‘he or she’) can reduce the tendency for people to stereotype political leaders as more similar to men than women. To increase the rigor with which these stereotypes were measured, this project complemented the dominant ‘cheap talk’ measure of personal stereotype content with an incentivised community measure of this content. As expected, participants stereotyped political leaders as more similar to men than women; this pattern was stronger on the incentivised measure of community stereotypes. Unexpectedly, there was no evidence that paired pronouns reduced this bias (there was weak exploratory evidence that paired nouns increased participants' tendencies to stereotype political leaders as more similar to women). This project suggests that the ability of gender-fair language interventions to ameliorate gender bias in the political leadership domain may be limited."
"en" => "Women are greatly underrepresented in positions of political leadership around the world. In seeking to explain this underrepresentation, some researchers have pointed to people's tendencies to stereotype leaders as more similar to men than women as these tendencies can support the belief that women are unsuited to leadership. This project aimed to test whether a subtle linguistic intervention was able to ameliorate this gender bias in political leadership stereotypes across different languages and national contexts (country/region N = 42, language N = 30, sample N = 22,996). Specifically, this project examined whether gender-fair language (e.g., the use of paired pronouns ‘he or she’) can reduce the tendency for people to stereotype political leaders as more similar to men than women. To increase the rigor with which these stereotypes were measured, this project complemented the dominant ‘cheap talk’ measure of personal stereotype content with an incentivised community measure of this content. As expected, participants stereotyped political leaders as more similar to men than women; this pattern was stronger on the incentivised measure of community stereotypes. Unexpectedly, there was no evidence that paired pronouns reduced this bias (there was weak exploratory evidence that paired nouns increased participants' tendencies to stereotype political leaders as more similar to women). This project suggests that the ability of gender-fair language interventions to ameliorate gender bias in the political leadership domain may be limited."
]
"authors_fields" => array:2 [
"fr" => "Marketing"
"en" => "Marketing"
]
"indexedAt" => "2026-10-13T02:23:32.000Z"
]
+lang: "fr"
+"_score": 6.850147
+"_ignored": array:3 [
0 => "abstract.en.keyword"
1 => "abstract.fr.keyword"
2 => "description.keyword"
]
+"parent": null
}
9 => Essec\Faculty\Model\Contribution {#2532
#_index: "academ_contributions"
#_id: "16044"
#_source: array:18 [
"id" => 16044
"slug" => "16044-measuring-the-semantic-priming-effect-across-many-languages"
"yearMonth" => "2026-01"
"year" => 2026
"title" => "Measuring the semantic priming effect across many languages"
"description" => "BUCHANAN, E.M., CUCCOLO, K., HEYMAN, T., VAN BERKEL, N., COLES, N.A., IYER, A. ... SEPEHRI, A. (2026). Measuring the semantic priming effect across many languages. <i>Nature Human Behaviour</i>, 10, pp. 182-201."
"authors" => array:45 [
0 => array:3 [
"name" => "SEPEHRI Amir"
"bid" => "B00791036"
"slug" => "sepehri-amir"
]
1 => array:1 [
"name" => "Buchanan Erin M."
]
2 => array:1 [
"name" => "Cuccolo Kelly"
]
3 => array:1 [
"name" => "Heyman Tom"
]
4 => array:1 [
"name" => "van Berkel Niels"
]
5 => array:1 [
"name" => "Coles Nicholas A."
]
6 => array:1 [
"name" => "Iyer Aishwarya"
]
7 => array:1 [
"name" => "Peters Kim"
]
8 => array:1 [
"name" => "van ’t Veer A. E."
]
9 => array:1 [
"name" => "Montefinese Maria"
]
10 => array:1 [
"name" => "Maxwell Nicholas P."
]
11 => array:1 [
"name" => "Taylor Jack E."
]
12 => array:1 [
"name" => "Valentine Kathrene D."
]
13 => array:1 [
"name" => "Arriaga Patrícia"
]
14 => array:1 [
"name" => "Barzykowski Krystian"
]
15 => array:1 [
"name" => "Boucher Leanne"
]
16 => array:1 [
"name" => "Collins W. Matthew"
]
17 => array:1 [
"name" => "Vaidis David C."
]
18 => array:1 [
"name" => "Aczel Balazs"
]
19 => array:1 [
"name" => "Al-Hoorie Ali H."
]
20 => array:1 [
"name" => "Ambrosini Ettore"
]
21 => array:1 [
"name" => "Besson Théo"
]
22 => array:1 [
"name" => "Burin Debora I."
]
23 => array:1 [
"name" => "Butt Muhammad Mussaffa"
]
24 => array:1 [
"name" => "Clarke A. J. Benjamin"
]
25 => array:1 [
"name" => "Daryani Yalda"
]
26 => array:1 [
"name" => "El-Dakhs Dina Abdel Salam"
]
27 => array:1 [
"name" => "Elsherif Mahmoud M."
]
28 => array:1 [
"name" => "Fernández-López Maria"
]
29 => array:1 [
"name" => "Ferreira Paulo Roberto dos Santos"
]
30 => array:1 [
"name" => "Freitag Raquel Meister Ko"
]
31 => array:1 [
"name" => "Gattei Carolina A."
]
32 => array:1 [
"name" => "Godbersen Hendrik"
]
33 => array:1 [
"name" => "Grim Philip A."
]
34 => array:1 [
"name" => "Halama Peter"
]
35 => array:1 [
"name" => "Havan Patrik"
]
36 => array:1 [
"name" => "Irrazabal Natalia C."
]
37 => array:1 [
"name" => "Isloi Chris"
]
38 => array:1 [
"name" => "Iversen Rebecca Kvisler"
]
39 => array:1 [
"name" => "Julliard Yoann"
]
40 => array:1 [
"name" => "Karaaslan Aslan"
]
41 => array:1 [
"name" => "Kohút Michal"
]
42 => array:1 [
"name" => "Kohútová Veronika"
]
43 => array:1 [
"name" => "Kos Julija"
]
44 => array:1 [
"name" => "Kosachenko Alexandra I."
]
]
"ouvrage" => ""
"keywords" => array:2 [
0 => "Human behaviour"
1 => "Language and linguistics"
]
"updatedAt" => "2026-07-01 11:55:40"
"publicationUrl" => "https://doi.org/10.1038/s41562-025-02254-x"
"publicationInfo" => array:3 [
"pages" => "182-201"
"volume" => "10"
"number" => ""
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "Semantic priming has been studied for nearly 50 years across various experimental manipulations and theoretical frameworks. Although previous studies provide insight into the cognitive underpinnings of semantic representations, they have suffered from small sample sizes and a lack of linguistic and cultural diversity. In this Registered Report, we measured the size and the variability of the semantic priming effect across 19 languages (n = 25,163 participants analysed) by creating the largest available database of semantic priming values using an adaptive sampling procedure. We found evidence for semantic priming in terms of differences in response latencies between related word-pair conditions and unrelated word-pair conditions. Model comparisons showed that the inclusion of a random intercept for language improved model fit, providing support for variability in semantic priming across languages. This study highlights the robustness and variability of semantic priming across languages and provides a rich, linguistically diverse dataset for further analysis. The Stage 1 protocol for this Registered Report was accepted in principle on 15 July 2022. The protocol, as accepted by the journal, can be found at https://osf.io/u5bp6 (registration) or https://osf.io/q4fjy (preprint version 6, 31 May 2022)."
"en" => "Semantic priming has been studied for nearly 50 years across various experimental manipulations and theoretical frameworks. Although previous studies provide insight into the cognitive underpinnings of semantic representations, they have suffered from small sample sizes and a lack of linguistic and cultural diversity. In this Registered Report, we measured the size and the variability of the semantic priming effect across 19 languages (n = 25,163 participants analysed) by creating the largest available database of semantic priming values using an adaptive sampling procedure. We found evidence for semantic priming in terms of differences in response latencies between related word-pair conditions and unrelated word-pair conditions. Model comparisons showed that the inclusion of a random intercept for language improved model fit, providing support for variability in semantic priming across languages. This study highlights the robustness and variability of semantic priming across languages and provides a rich, linguistically diverse dataset for further analysis. The Stage 1 protocol for this Registered Report was accepted in principle on 15 July 2022. The protocol, as accepted by the journal, can be found at https://osf.io/u5bp6 (registration) or https://osf.io/q4fjy (preprint version 6, 31 May 2022)."
]
"authors_fields" => array:2 [
"fr" => "Marketing"
"en" => "Marketing"
]
"indexedAt" => "2026-10-13T02:23:32.000Z"
]
+lang: "fr"
+"_score": 6.850147
+"_ignored": array:2 [
0 => "abstract.en.keyword"
1 => "abstract.fr.keyword"
]
+"parent": null
}
10 => Essec\Faculty\Model\Contribution {#2533
#_index: "academ_contributions"
#_id: "16143"
#_source: array:18 [
"id" => 16143
"slug" => "16143-public-speakers-with-nonnative-accents-garner-less-engagement"
"yearMonth" => "2025-12"
"year" => 2025
"title" => "Public Speakers With Nonnative Accents Garner Less Engagement"
"description" => "ZEWAIL, A., SEPEHRI, A., BOGHRATI, R. et ATARI, M. (2025). Public Speakers With Nonnative Accents Garner Less Engagement. <i>Psychological Science</i>, 36(12), pp. 899-912."
"authors" => array:4 [
0 => array:3 [
"name" => "SEPEHRI Amir"
"bid" => "B00791036"
"slug" => "sepehri-amir"
]
1 => array:1 [
"name" => "Zewail Aliah"
]
2 => array:1 [
"name" => "Boghrati Reihane"
]
3 => array:1 [
"name" => "Atari Mohammad"
]
]
"ouvrage" => ""
"keywords" => array:5 [
0 => "accent"
1 => "computational methods"
2 => "text analysis"
3 => "stereotypes"
4 => "public discourse"
]
"updatedAt" => "2026-01-13 10:14:57"
"publicationUrl" => "https://doi.org/10.1177/09567976251398471"
"publicationInfo" => array:3 [
"pages" => "899-912"
"volume" => "36"
"number" => "12"
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "Can nonnative English accents become barriers to garnering attention in public discourse? The current study examined this question. Analyzing 5,367 TED Talks through computational methodologies such as voice recognition, natural language processing, and vision models, we investigated the relationship between speakers’ accents and online engagement. After adjusting for various control variables with a series of robustness checks, we found a sizeable disparity in public discourse: Speakers with nonnative accents received less engagement than speakers with native accents. To complement our findings, we conducted a controlled social-psychological experiment among English-speaking American adults (N = 462) and a direct replication (N = 916) that corroborated our computational analyses and highlighted stereotyping and processing disfluency as key factors driving reduced engagement in accented speakers. Our research highlights the pervasive impact of accent discrimination in global communication and emphasizes the need for strategies to mitigate its detrimental effects on knowledge exchange across cultural and linguistic boundaries."
"en" => "Can nonnative English accents become barriers to garnering attention in public discourse? The current study examined this question. Analyzing 5,367 TED Talks through computational methodologies such as voice recognition, natural language processing, and vision models, we investigated the relationship between speakers’ accents and online engagement. After adjusting for various control variables with a series of robustness checks, we found a sizeable disparity in public discourse: Speakers with nonnative accents received less engagement than speakers with native accents. To complement our findings, we conducted a controlled social-psychological experiment among English-speaking American adults (N = 462) and a direct replication (N = 916) that corroborated our computational analyses and highlighted stereotyping and processing disfluency as key factors driving reduced engagement in accented speakers. Our research highlights the pervasive impact of accent discrimination in global communication and emphasizes the need for strategies to mitigate its detrimental effects on knowledge exchange across cultural and linguistic boundaries."
]
"authors_fields" => array:2 [
"fr" => "Marketing"
"en" => "Marketing"
]
"indexedAt" => "2026-10-13T02:23:32.000Z"
]
+lang: "fr"
+"_score": 6.850147
+"_ignored": array:2 [
0 => "abstract.en.keyword"
1 => "abstract.fr.keyword"
]
+"parent": null
}
11 => Essec\Faculty\Model\Contribution {#2534
#_index: "academ_contributions"
#_id: "16144"
#_source: array:18 [
"id" => 16144
"slug" => "16144-precommitment-in-stochastic-versus-deterministic-social-dilemmas"
"yearMonth" => "2025-12"
"year" => 2025
"title" => "Precommitment in Stochastic Versus Deterministic Social Dilemmas"
"description" => "HARDISTY, D., SEPEHRI, A., KUNREUTHER, H., KRANTZ, D. et ARORA, P. (2025). Precommitment in Stochastic Versus Deterministic Social Dilemmas. <i>Journal of Behavioral Decision Making</i>, 38(5), pp. e70052."
"authors" => array:5 [
0 => array:3 [
"name" => "SEPEHRI Amir"
"bid" => "B00791036"
"slug" => "sepehri-amir"
]
1 => array:1 [
"name" => "Hardisty David J."
]
2 => array:1 [
"name" => "Kunreuther Howard"
]
3 => array:1 [
"name" => "Krantz David H."
]
4 => array:1 [
"name" => "Arora Poonam"
]
]
"ouvrage" => ""
"keywords" => array:5 [
0 => "choice bracketing"
1 => "interdependent security"
2 => "risk"
3 => "social dilemma"
4 => "time"
]
"updatedAt" => "2026-04-13 16:59:39"
"publicationUrl" => "https://doi.org/10.1002/bdm.70052"
"publicationInfo" => array:3 [
"pages" => "e70052"
"volume" => "38"
"number" => "5"
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "Many real-world social dilemmas require interdependent people to repeatedly protect against a large loss that has a low probability of occurring. Examples include protecting against disease outbreak (e.g., COVID-19), terrorism (shared border security), or extreme weather events (from climate change). Decisions on whether to invest in protection may be made period by period (e.g., month by month), or investment may be precommitted in advance for a number of periods. How does precommitment influence cooperation in these situations? A series of four studies (plus one supplemental study) investigates this question, using incentive-compatible, repeated social dilemmas with large-magnitude, low-probability losses. These studies found that in stochastic social dilemmas, binding precommitment increases cooperation, but nonbinding precommitment has little effect, and in deterministic social dilemmas, binding precommitment decreases cooperation. These patterns were driven by changes in responsiveness to probabilities and interactions with counterparts, with implications for how to structure real-world dilemmas to increase cooperative investment in protection."
"en" => "Many real-world social dilemmas require interdependent people to repeatedly protect against a large loss that has a low probability of occurring. Examples include protecting against disease outbreak (e.g., COVID-19), terrorism (shared border security), or extreme weather events (from climate change). Decisions on whether to invest in protection may be made period by period (e.g., month by month), or investment may be precommitted in advance for a number of periods. How does precommitment influence cooperation in these situations? A series of four studies (plus one supplemental study) investigates this question, using incentive-compatible, repeated social dilemmas with large-magnitude, low-probability losses. These studies found that in stochastic social dilemmas, binding precommitment increases cooperation, but nonbinding precommitment has little effect, and in deterministic social dilemmas, binding precommitment decreases cooperation. These patterns were driven by changes in responsiveness to probabilities and interactions with counterparts, with implications for how to structure real-world dilemmas to increase cooperative investment in protection."
]
"authors_fields" => array:2 [
"fr" => "Marketing"
"en" => "Marketing"
]
"indexedAt" => "2026-10-13T02:23:32.000Z"
]
+lang: "fr"
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12 => Essec\Faculty\Model\Contribution {#2535
#_index: "academ_contributions"
#_id: "16407"
#_source: array:18 [
"id" => 16407
"slug" => "16407-research-how-the-accent-penalty-determines-who-gets-heard"
"yearMonth" => "2026-03"
"year" => 2026
"title" => "Research: How the “Accent Penalty” Determines Who Gets Heard"
"description" => "ZEWAIL, A., SEPEHRI, A., BOGHRATI, R. et ATARI, M. (2026). Research: How the “Accent Penalty” Determines Who Gets Heard. <i>Harvard Business Review (online)</i>."
"authors" => array:4 [
0 => array:3 [
"name" => "SEPEHRI Amir"
"bid" => "B00791036"
"slug" => "sepehri-amir"
]
1 => array:1 [
"name" => "ZEWAIL Aliah"
]
2 => array:1 [
"name" => "BOGHRATI Reihane"
]
3 => array:1 [
"name" => "ATARI Mohammad"
]
]
"ouvrage" => ""
"keywords" => []
"updatedAt" => "2026-04-16 09:35:26"
"publicationUrl" => "https://hbr.org/2026/03/research-how-the-accent-penalty-determines-who-gets-heard"
"publicationInfo" => array:3 [
"pages" => ""
"volume" => ""
"number" => ""
]
"type" => array:2 [
"fr" => "Articles ou vidéos de vulgarisation"
"en" => "Press article, video or other popular media"
]
"support_type" => array:2 [
"fr" => "Presse"
"en" => "Press"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "At American firms, accent bias can quietly shape whose ideas gain traction at work by depressing attention and engagement for speakers with nonnative English accents. Drawing on an analysis of 5,000+ English-language TED Talks, research finds a consistent “accent penalty” in views and likes that persists even after accounting for topic, speaker expertise, visibility, and other indicators of content quality. A follow-up experiment with 1,300+ U.S. adults helps explain why, showing that accented speech increases cognitive effort and reduces perceived warmth and trust, which in turn lowers interest and willingness to share. Because attention functions as a form of organizational currency, these dynamics can distort recognition, influence, and learning in global teams. Leaders can mitigate the effect by redesigning meetings and evaluations and by raising awareness of processing fluency–driven bias."
"en" => "At American firms, accent bias can quietly shape whose ideas gain traction at work by depressing attention and engagement for speakers with nonnative English accents. Drawing on an analysis of 5,000+ English-language TED Talks, research finds a consistent “accent penalty” in views and likes that persists even after accounting for topic, speaker expertise, visibility, and other indicators of content quality. A follow-up experiment with 1,300+ U.S. adults helps explain why, showing that accented speech increases cognitive effort and reduces perceived warmth and trust, which in turn lowers interest and willingness to share. Because attention functions as a form of organizational currency, these dynamics can distort recognition, influence, and learning in global teams. Leaders can mitigate the effect by redesigning meetings and evaluations and by raising awareness of processing fluency–driven bias."
]
"authors_fields" => array:2 [
"fr" => "Marketing"
"en" => "Marketing"
]
"indexedAt" => "2026-10-13T02:23:32.000Z"
]
+lang: "fr"
+"_score": 6.850147
+"_ignored": array:2 [
0 => "abstract.en.keyword"
1 => "abstract.fr.keyword"
]
+"parent": null
}
13 => Essec\Faculty\Model\Contribution {#2536
#_index: "academ_contributions"
#_id: "16408"
#_source: array:18 [
"id" => 16408
"slug" => "16408-how-should-content-creators-narrate-their-content-the-impact-of-emotionality-flips-on-audience-engagement"
"yearMonth" => "2026-04"
"year" => 2026
"title" => "How should content creators narrate their content? The impact of emotionality flips on audience engagement"
"description" => "GHASEMI, H., ASTVANSH, V. et SEPEHRI, A. (2026). How should content creators narrate their content? The impact of emotionality flips on audience engagement. <i>Journal of the Academy of Marketing Science</i>, In press."
"authors" => array:3 [
0 => array:3 [
"name" => "SEPEHRI Amir"
"bid" => "B00791036"
"slug" => "sepehri-amir"
]
1 => array:1 [
"name" => "GHASEMI Hesam"
]
2 => array:1 [
"name" => "ASTVANSH Vivek"
]
]
"ouvrage" => ""
"keywords" => array:5 [
0 => "Influencers"
1 => "Natural language processing"
2 => "Automated text analysis"
3 => "Narrative transportation"
4 => "Digital opinion leaders"
]
"updatedAt" => "2026-04-16 09:16:22"
"publicationUrl" => "https://doi.org/10.1007/s11747-026-01147-3"
"publicationInfo" => array:3 [
"pages" => ""
"volume" => "In press"
"number" => ""
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "The creator economy marks a pivotal shift in influencer marketing. Content creators create long content to engage their audience on social media platforms and generate revenue through engagement. We hypothesize that audience engagement with content is a function of emotionality flips: the number of times emotionality flips direction (from a positive slope to a negative slope and vice versa) from one content unit (e.g., sentence) to another. Five studies—including 33,598 podcast episodes, 3,381 TED Talks, two lab experiments, and one synthetic validation—support this hypothesis. Furthermore, arousal is the underlying mechanism; that is, emotionality flips raise the audience’s arousal, which in turn boosts audience engagement. Lastly, emotionality flips’ positive effect is stronger for (1) content that is easier (vs. harder) to process, and (2) audiences with high (vs. low) need-for-affect. This research advances understanding of emotionality dynamics in the creator economy and offers insights for creators, platforms, and consumers."
"en" => "The creator economy marks a pivotal shift in influencer marketing. Content creators create long content to engage their audience on social media platforms and generate revenue through engagement. We hypothesize that audience engagement with content is a function of emotionality flips: the number of times emotionality flips direction (from a positive slope to a negative slope and vice versa) from one content unit (e.g., sentence) to another. Five studies—including 33,598 podcast episodes, 3,381 TED Talks, two lab experiments, and one synthetic validation—support this hypothesis. Furthermore, arousal is the underlying mechanism; that is, emotionality flips raise the audience’s arousal, which in turn boosts audience engagement. Lastly, emotionality flips’ positive effect is stronger for (1) content that is easier (vs. harder) to process, and (2) audiences with high (vs. low) need-for-affect. This research advances understanding of emotionality dynamics in the creator economy and offers insights for creators, platforms, and consumers."
]
"authors_fields" => array:2 [
"fr" => "Marketing"
"en" => "Marketing"
]
"indexedAt" => "2026-10-13T02:23:32.000Z"
]
+lang: "fr"
+"_score": 6.850147
+"_ignored": array:2 [
0 => "abstract.en.keyword"
1 => "abstract.fr.keyword"
]
+"parent": null
}
14 => Essec\Faculty\Model\Contribution {#2537
#_index: "academ_contributions"
#_id: "16463"
#_source: array:18 [
"id" => 16463
"slug" => "16463-passive-voice-in-consumer-complaints-reveals-fault-attribution-and-predicts-escalation"
"yearMonth" => "2026-04"
"year" => 2026
"title" => "Passive voice in consumer complaints reveals fault attribution and predicts escalation"
"description" => "SEPEHRI, A., DUCLOS, R. et BERGER, J. (2026). Passive voice in consumer complaints reveals fault attribution and predicts escalation. <i>International Journal of Research in Marketing</i>, In press(https://doi.org/10.1016/j.ijresmar.2026.04.004)."
"authors" => array:3 [
0 => array:3 [
"name" => "SEPEHRI Amir"
"bid" => "B00791036"
"slug" => "sepehri-amir"
]
1 => array:1 [
"name" => "DUCLOS Rod"
]
2 => array:1 [
"name" => "BERGER Jonah"
]
]
"ouvrage" => ""
"keywords" => array:5 [
0 => "Language"
1 => "Passive voice"
2 => "Perceived fault"
3 => "Customer service"
4 => "Automated text-analysis"
]
"updatedAt" => "2026-05-18 11:39:35"
"publicationUrl" => "https://doi.org/10.1016/j.ijresmar.2026.04.004"
"publicationInfo" => array:3 [
"pages" => ""
"volume" => "In press"
"number" => "https://doi.org/10.1016/j.ijresmar.2026.04.004"
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "Hotline wait-times, complicated returns, odd charges on a bill, cumbersome applications: negative service experiences are common. And consumer reactions carry major implications for firms. Drawing on the premise that language reflects unspoken cognition, this research adopts a mixed-methods paradigm to investigate whether a subtle linguistic feature in complaints (i.e., the use of passive voice): (1) reveals consumers’ perception of responsibility for a bad service experience, and (2) predicts escalation. To this end, study 1 applies natural language processing to more than 160,000 real complaints filed with the U.S. Consumer Financial Protection Bureau. We find that consumers who write with greater passive voice are significantly more likely to dispute offers of resolution, even after extensive controls. Studies 2A–3B use correlational and experimental methods to demonstrate that passive constructions increase as perceived fault (for a poor service experience) shifts from self to service provider. Study 4 extends this finding by showing that, when consumers attribute responsibility for an incident to the firm, they in turn: (i) use more passive voice to complain and (ii) report stronger escalation intentions—an effect that persists after controlling for individuals’ baseline writing-style. Conceptually, this research uncovers linguistic structure, an understudied aspect of language, as a diagnostic window into consumers’ state of mind. Managerially, we suggest an automated, cost-effective approach to identify early which dissatisfied customers are likely to escalate. Such insight allows in turn for more targeted service-recovery interventions."
"en" => "Hotline wait-times, complicated returns, odd charges on a bill, cumbersome applications: negative service experiences are common. And consumer reactions carry major implications for firms. Drawing on the premise that language reflects unspoken cognition, this research adopts a mixed-methods paradigm to investigate whether a subtle linguistic feature in complaints (i.e., the use of passive voice): (1) reveals consumers’ perception of responsibility for a bad service experience, and (2) predicts escalation. To this end, study 1 applies natural language processing to more than 160,000 real complaints filed with the U.S. Consumer Financial Protection Bureau. We find that consumers who write with greater passive voice are significantly more likely to dispute offers of resolution, even after extensive controls. Studies 2A–3B use correlational and experimental methods to demonstrate that passive constructions increase as perceived fault (for a poor service experience) shifts from self to service provider. Study 4 extends this finding by showing that, when consumers attribute responsibility for an incident to the firm, they in turn: (i) use more passive voice to complain and (ii) report stronger escalation intentions—an effect that persists after controlling for individuals’ baseline writing-style. Conceptually, this research uncovers linguistic structure, an understudied aspect of language, as a diagnostic window into consumers’ state of mind. Managerially, we suggest an automated, cost-effective approach to identify early which dissatisfied customers are likely to escalate. Such insight allows in turn for more targeted service-recovery interventions."
]
"authors_fields" => array:2 [
"fr" => "Marketing"
"en" => "Marketing"
]
"indexedAt" => "2026-10-13T02:23:32.000Z"
]
+lang: "fr"
+"_score": 6.850147
+"_ignored": array:2 [
0 => "abstract.en.keyword"
1 => "abstract.fr.keyword"
]
+"parent": null
}
15 => Essec\Faculty\Model\Contribution {#2538
#_index: "academ_contributions"
#_id: "16804"
#_source: array:18 [
"id" => 16804
"slug" => "16804-express-the-humanizing-power-of-accents-in-voicebots-when-accent-based-humanization-increases-user-engagement"
"yearMonth" => "2026-09"
"year" => 2026
"title" => "EXPRESS: The Humanizing Power of Accents in Voicebots: When Accent-Based Humanization Increases User Engagement"
"description" => "GHASEMI, H., SEPEHRI, A. et LAMBERTON, C. (2026). EXPRESS: The Humanizing Power of Accents in Voicebots: When Accent-Based Humanization Increases User Engagement. <i>Journal of Marketing Research</i>, In press."
"authors" => array:3 [
0 => array:3 [
"name" => "SEPEHRI Amir"
"bid" => "B00791036"
"slug" => "sepehri-amir"
]
1 => array:1 [
"name" => "Ghasemi Hesam"
]
2 => array:1 [
"name" => "Lamberton Cait"
]
]
"ouvrage" => ""
"keywords" => array:4 [
0 => "anthropomorphism"
1 => "voicebots"
2 => "accent"
3 => "artificial intelligence"
]
"updatedAt" => "2026-09-25 10:48:35"
"publicationUrl" => "https://doi.org/10.1177/00222437261494934"
"publicationInfo" => array:3 [
"pages" => ""
"volume" => "In press"
"number" => ""
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "Given that consumers often exhibit resistance toward algorithmic systems, firms face challenges in encouraging engagement with voicebots. In this paper, we find that users’ engagement with voicebots may be enhanced by endowing these tools with non-standard accents that deviate from “standard” pronunciation. Across a range of accents, languages, genders, and contexts, our data suggest that voicebots communicating with non-standard accents make the concept of human diversity salient in the users’ minds. As a result, voicebots communicating with non-standard accents are more readily anthropomorphized. This effect translates into greater preference for the non-standard accented voicebot in customer service settings, stronger support for startups leveraging accented vs. unaccented voicebots, higher willingness to pay for monthly subscriptions, and a greater likelihood of opting in to receive future updates and communications. Consistent with our theory, however, these effects do not hold when the anthropomorphism effect is either overridden by other cues or is undesirable for the consumer. Together, this work highlights the benefits of accented speech in improving human-AI interactions. We also hope that it sparks further investigation into factors that make technology more readily accepted by consumers."
"en" => "Given that consumers often exhibit resistance toward algorithmic systems, firms face challenges in encouraging engagement with voicebots. In this paper, we find that users’ engagement with voicebots may be enhanced by endowing these tools with non-standard accents that deviate from “standard” pronunciation. Across a range of accents, languages, genders, and contexts, our data suggest that voicebots communicating with non-standard accents make the concept of human diversity salient in the users’ minds. As a result, voicebots communicating with non-standard accents are more readily anthropomorphized. This effect translates into greater preference for the non-standard accented voicebot in customer service settings, stronger support for startups leveraging accented vs. unaccented voicebots, higher willingness to pay for monthly subscriptions, and a greater likelihood of opting in to receive future updates and communications. Consistent with our theory, however, these effects do not hold when the anthropomorphism effect is either overridden by other cues or is undesirable for the consumer. Together, this work highlights the benefits of accented speech in improving human-AI interactions. We also hope that it sparks further investigation into factors that make technology more readily accepted by consumers."
]
"authors_fields" => array:2 [
"fr" => "Marketing"
"en" => "Marketing"
]
"indexedAt" => "2026-10-13T02:23:32.000Z"
]
+lang: "fr"
+"_score": 6.850147
+"_ignored": array:2 [
0 => "abstract.en.keyword"
1 => "abstract.fr.keyword"
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+"parent": null
}
]
"avatar" => "https://faculty.essec.edu/wp-content/uploads/avatars/B00791036.jpg"
"contributionCounts" => 16
"personalLinks" => array:1 [
0 => "<a href="https://orcid.org/0000-0002-3228-3127" target="_blank">ORCID</a>"
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"docTitle" => "Amir SEPEHRI"
"docSubtitle" => "Professeur assistant"
"docDescription" => "Département: Marketing<br>Campus de Cergy"
"docType" => "cv"
"docPreview" => "<img src="https://faculty.essec.edu/wp-content/uploads/avatars/B00791036.jpg"><span><span>Amir SEPEHRI</span><span>B00791036</span></span>"
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