Essec\Faculty\Model\Profile {#2233
#_id: "B00820414"
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"slug" => "alaimo-cristina"
"fullName" => "Cristina ALAIMO"
"lastName" => "ALAIMO"
"firstName" => "Cristina"
"title" => array:2 [
"fr" => "Professeur associé"
"en" => "Associate Professor"
]
"email" => "cristina.alaimo@essec.edu"
"status" => "ACTIF"
"campus" => "Campus de Cergy"
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"externalCvUrl" => "https://faculty.essec.edu/cv/alaimo-cristina/pdf"
"googleScholarUrl" => "https://scholar.google.co.uk/citations?hl=en&user=rN9p_0oAAAAJ"
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0 => Essec\Faculty\Model\CareerItem {#2240
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]
"country" => array:2 [
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]
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1 => Essec\Faculty\Model\CareerItem {#2241
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"en" => "Luiss University"
]
"country" => array:2 [
"fr" => "Italie"
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]
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2 => Essec\Faculty\Model\CareerItem {#2242
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]
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"institution" => array:2 [
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"en" => "London School of Economics and Political Science (LSE)"
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"country" => array:2 [
"fr" => "Royaume-Uni"
"en" => "United Kingdom"
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0 => Essec\Faculty\Model\Diplome {#2235
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"diplome" => "DIPLOMA"
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"label" => array:2 [
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"bio" => array:2 [
"fr" => "<p>Cristina Alaimo est professeure associée à l'ESSEC Business School. Auparavant, elle a été professeure adjointe à l'université LUISS de Rome (Italie) et à la Surrey Business School (Royaume-Uni). Elle est titulaire d'un doctorat en gestion, systèmes d'information et innovation de la London School of Economics and Political Science (LSE), au Royaume-Uni. Ses recherches portent sur l'innovation s’appuyant sur les services basés sur les données et leurs conséquences pour les organisations et la société. Elle s'intéresse également à l'étude de l'écosystème plus large des échanges de données dans lequel les plateformes numériques sont intégrées et à la manière dont ces nouveaux écosystèmes de plateformes émergent et évoluent. Ses travaux ont été publiés dans des revues telles que Organization Science, Organization Studies, The Information Society, Journal of Management Information Systems, Journal of Information Technology, et Research in the Sociology of Organizations. Cristina est co-auteure, avec Jannis Kallinikos, du livre “Data Rules: Reinventing the Market Economy” (MIT Press, 2024). Elle est également rédactrice en chef pour le European Journal of Information Systems et siège au comité de rédaction de Organization Studies. Elle est de plus professeure invitée au Centre for the Digital Economy à la Surrey Business School (Royaume-Uni).</p>\n"
"en" => "<p>Cristina Alaimo is Associate Professor at ESSEC Business School, France. Prior to that, she was Assistant Professor at LUISS University, Rome, Italy and Assistant Professor at Surrey Business School, UK. She holds a Ph.D. in Management, Information Systems, and Innovation from LSE - The London School of Economics and Political Science, UK. Her research focuses on the innovation brought about by data-based services and their consequences for organizations and society. She is also interested in studying the broader ecosystem of data exchanges in which digital platforms are embedded and how these new platform ecosystems emerge and evolve. Cristina’s work has been published in journals such as <i>Organization Science, Organization Studies, The Information Society, Journal of Management Information Systems, Journal of Information Technology,</i> and <i>Research in the Sociology of Organizations</i>. She is a co-author with Jannis Kallinikos of the book “Data Rules: Reinventing the Market Economy,” The MIT Press (2024). Cristina is Senior Editor of the <i>European Journal of Information Systems </i>and she sits in the Editorial Board of <i>Organization Studies</i>. She is also a visiting fellow at the Centre for the Digital Economy at Surrey Business School, UK.</p>\n"
]
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]
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1 => Essec\Faculty\Model\TeachingItem {#2232
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2 => Essec\Faculty\Model\TeachingItem {#2236
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3 => Essec\Faculty\Model\TeachingItem {#2239
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0 => Essec\Faculty\Model\ExtraActivity {#2237
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1 => Essec\Faculty\Model\ExtraActivity {#2234
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0 => Essec\Faculty\Model\These {#2244
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1 => Essec\Faculty\Model\These {#2245
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2 => Essec\Faculty\Model\These {#2246
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3 => Essec\Faculty\Model\These {#2247
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0 => Essec\Faculty\Model\Contribution {#2249
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"slug" => "building-cumulative-knowledge-in-the-era-of-artificial-intelligence-challenges-and-opportunities-for-management-research-and-practice"
"yearMonth" => "2024-06"
"year" => "2024"
"title" => "Building Cumulative Knowledge in the Era of Artificial Intelligence: Challenges and Opportunities for Management Research and Practice"
"description" => "ALAIMO, C., KYRIAKOU, H., WESTERMAN, G. et YOUGJIN, Y. (2024). Building Cumulative Knowledge in the Era of Artificial Intelligence: Challenges and Opportunities for Management Research and Practice. Dans: 2024 European Conference on Information Systems (ECIS). Paphos."
"authors" => array:4 [
0 => array:3 [
"name" => "ALAIMO Cristina"
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1 => array:3 [
"name" => "KYRIAKOU Harris"
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2 => array:1 [
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3 => array:1 [
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"ouvrage" => "2024 European Conference on Information Systems (ECIS)"
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1 => Essec\Faculty\Model\Contribution {#2251
#_index: "academ_contributions"
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"slug" => "organizations-decentered-data-objects-technology-and-knowledge"
"yearMonth" => "2022-01"
"year" => "2022"
"title" => "Organizations Decentered: Data Objects, Technology and Knowledge"
"description" => "ALAIMO, C. et KALLINIKOS, J. (2022). Organizations Decentered: Data Objects, Technology and Knowledge. <i>Organization Science</i>, 33(1), pp. 19-37."
"authors" => array:2 [
0 => array:3 [
"name" => "ALAIMO Cristina"
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1 => array:1 [
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"fr" => "Data are no longer simply a component of administrative and managerial work but a pervasive resource and medium through which organizations come to know and act upon the contingencies they confront. We theorize how the ongoing technological developments reinforce the traditional functions of data as instruments of management and control but also reframe and extend their role. By rendering data as technical entities, digital technologies transform the process of knowing and the knowledge functions data fulfil in socioeconomic life. These functions are most of the times mediated by putting together disperse and steadily updatable data in more stable entities we refer to as data objects. Users, customers, products, and physical machines rendered as data objects become the technical and cognitive means through which organizational knowledge, patterns, and practices develop. Such conditions loosen the dependence of data from domain knowledge, reorder the relative significance of internal versus external references in organizations, and contribute to a paradigmatic contemporary development that we identify with the decentering of organizations of which digital platforms are an important specimen."
"en" => "Data are no longer simply a component of administrative and managerial work but a pervasive resource and medium through which organizations come to know and act upon the contingencies they confront. We theorize how the ongoing technological developments reinforce the traditional functions of data as instruments of management and control but also reframe and extend their role. By rendering data as technical entities, digital technologies transform the process of knowing and the knowledge functions data fulfil in socioeconomic life. These functions are most of the times mediated by putting together disperse and steadily updatable data in more stable entities we refer to as data objects. Users, customers, products, and physical machines rendered as data objects become the technical and cognitive means through which organizational knowledge, patterns, and practices develop. Such conditions loosen the dependence of data from domain knowledge, reorder the relative significance of internal versus external references in organizations, and contribute to a paradigmatic contemporary development that we identify with the decentering of organizations of which digital platforms are an important specimen."
]
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"en" => "Information Systems, Data Analytics and Operations"
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2 => Essec\Faculty\Model\Contribution {#2253
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"slug" => "platforms-as-service-ecosystems-lessons-from-social-media"
"yearMonth" => "2020-03"
"year" => "2020"
"title" => "Platforms as service ecosystems: Lessons from social media"
"description" => "ALAIMO, C., KALLINIKOS, J. et VALDERRAMA, E. (2020). Platforms as service ecosystems: Lessons from social media. <i>Journal of Information Technology</i>, 35(1), pp. 25-48."
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"slug" => "alaimo-cristina"
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1 => array:1 [
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2 => array:1 [
"name" => "Valderrama Erika"
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"abstract" => array:2 [
"fr" => "The growing business expansion of social media platforms is changing their identity and transforming the practices of networking, data and content sharing with which social media have been commonly associated. We empirically investigate these shifts in the context of TripAdvisor and its evolution since its very establishment. We trace the mutations of the platform along three stages we identify as search engine, social media platform and end-to-end service ecosystem. Our findings reveal the underlying patterns of data types, technological functionalities and actor configurations that punctuate the business expansion of TripAdvisor and lead to the formation of its service ecosystem. We contribute to the understanding of the current trajectory in which social media find themselves as well as to the literature on platforms and ecosystems. We point out the importance of services that develop as commercially viable and constantly updatable data bundles out of diverse and dynamic data types. Such services are essential to the making of the complementarities that are claimed to underlie ecosystem formation."
"en" => "The growing business expansion of social media platforms is changing their identity and transforming the practices of networking, data and content sharing with which social media have been commonly associated. We empirically investigate these shifts in the context of TripAdvisor and its evolution since its very establishment. We trace the mutations of the platform along three stages we identify as search engine, social media platform and end-to-end service ecosystem. Our findings reveal the underlying patterns of data types, technological functionalities and actor configurations that punctuate the business expansion of TripAdvisor and lead to the formation of its service ecosystem. We contribute to the understanding of the current trajectory in which social media find themselves as well as to the literature on platforms and ecosystems. We point out the importance of services that develop as commercially viable and constantly updatable data bundles out of diverse and dynamic data types. Such services are essential to the making of the complementarities that are claimed to underlie ecosystem formation."
]
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}
3 => Essec\Faculty\Model\Contribution {#2250
#_index: "academ_contributions"
#_id: "15126"
#_source: array:18 [
"id" => "15126"
"slug" => "managing-by-data-algorithmic-categories-and-organizing"
"yearMonth" => "2021-09"
"year" => "2021"
"title" => "Managing by Data: Algorithmic Categories and Organizing"
"description" => "ALAIMO, C. et KALLINIKOS, J. (2021). Managing by Data: Algorithmic Categories and Organizing. <i>Organization Studies</i>, 42(9), pp. 1385-1407."
"authors" => array:2 [
0 => array:3 [
"name" => "ALAIMO Cristina"
"bid" => "B00820414"
"slug" => "alaimo-cristina"
]
1 => array:1 [
"name" => "Kallinikos Jannis"
]
]
"ouvrage" => ""
"keywords" => []
"updatedAt" => "2024-09-09 12:27:30"
"publicationUrl" => "https://doi.org/10.1177/0170840620934062"
"publicationInfo" => array:3 [
"pages" => "1385-1407"
"volume" => "42"
"number" => "9"
]
"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" => "Data and data management techniques increasingly permeate organizations and the contexts in which they are embedded. We conduct an empirical investigation of Last.fm, an online music discovery platform, with a view to unpacking the work of data and algorithms in the process of categorization. Drawing on Eleanor Rosch and her colleagues, we link the making of categories with the construction of basic objects that function as key filters or registers for perceiving and organizing the world and interacting with it. In contexts such as the ones we have studied, basic objects are made out of data rather than expert or community-based knowledge. In such settings, basic objects work as pervasive reality filters and as the entities on which other organizational objects and categories are built. As they diffuse, such objects and the categories they instantiate become naturalized, increasingly reconfiguring the social order of organizations and their environments as a data order. Once key organizational activities such as the making of objects and categorizing are rearranged by data and algorithms, organizations can no longer be framed as separate from the technologies they deploy."
"en" => "Data and data management techniques increasingly permeate organizations and the contexts in which they are embedded. We conduct an empirical investigation of Last.fm, an online music discovery platform, with a view to unpacking the work of data and algorithms in the process of categorization. Drawing on Eleanor Rosch and her colleagues, we link the making of categories with the construction of basic objects that function as key filters or registers for perceiving and organizing the world and interacting with it. In contexts such as the ones we have studied, basic objects are made out of data rather than expert or community-based knowledge. In such settings, basic objects work as pervasive reality filters and as the entities on which other organizational objects and categories are built. As they diffuse, such objects and the categories they instantiate become naturalized, increasingly reconfiguring the social order of organizations and their environments as a data order. Once key organizational activities such as the making of objects and categorizing are rearranged by data and algorithms, organizations can no longer be framed as separate from the technologies they deploy."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-21T12:21:50.000Z"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 6.411672
+"parent": null
}
4 => Essec\Faculty\Model\Contribution {#2254
#_index: "academ_contributions"
#_id: "15123"
#_source: array:18 [
"id" => "15123"
"slug" => "computing-the-everyday-social-media-as-data-platforms"
"yearMonth" => "2017-06"
"year" => "2017"
"title" => "Computing the everyday: Social media as data platforms"
"description" => "ALAIMO, C. et KALLINIKOS, J. (2017). Computing the everyday: Social media as data platforms. <i>Information Society</i>, 33(4), pp. 175-191."
"authors" => array:2 [
0 => array:3 [
"name" => "ALAIMO Cristina"
"bid" => "B00820414"
"slug" => "alaimo-cristina"
]
1 => array:1 [
"name" => "Kallinikos Jannis"
]
]
"ouvrage" => ""
"keywords" => array:1 [
0 => "social media platforms"
]
"updatedAt" => "2024-09-09 12:29:26"
"publicationUrl" => "https://doi.org/10.1080/01972243.2017.1318327"
"publicationInfo" => array:3 [
"pages" => "175-191"
"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" => "We conceive social media platforms as sociotechnical entities that variously shape user platform involvement and participation. Such shaping develops along three fundamental data operations that we subsume under the terms of encoding, aggregation, and computation. Encoding entails the engineering of user platform participation along narrow and standardized activity types (e.g., tagging, liking, sharing, following). This heavily scripted platform participation serves as the basis for the procurement of discrete and calculable data tokens that are possible to aggregate and, subsequently, compute in a variety of ways. We expose these operations by investigating a social media platform for shopping. We contribute to the current debate on social media and digital platforms by describing social media as posttransactional spaces that are predominantly concerned with charting and profiling the online predispositions, habits, and opinions of their user base. Such an orientation sets social media platforms apart from other forms of mediating online interaction. In social media, we claim, platform participation is driven toward an endless online conversation that delivers the data footprint through which a computed sociality is made the source of value creation and monetization."
"en" => "We conceive social media platforms as sociotechnical entities that variously shape user platform involvement and participation. Such shaping develops along three fundamental data operations that we subsume under the terms of encoding, aggregation, and computation. Encoding entails the engineering of user platform participation along narrow and standardized activity types (e.g., tagging, liking, sharing, following). This heavily scripted platform participation serves as the basis for the procurement of discrete and calculable data tokens that are possible to aggregate and, subsequently, compute in a variety of ways. We expose these operations by investigating a social media platform for shopping. We contribute to the current debate on social media and digital platforms by describing social media as posttransactional spaces that are predominantly concerned with charting and profiling the online predispositions, habits, and opinions of their user base. Such an orientation sets social media platforms apart from other forms of mediating online interaction. In social media, we claim, platform participation is driven toward an endless online conversation that delivers the data footprint through which a computed sociality is made the source of value creation and monetization."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-21T12:21:50.000Z"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 6.411672
+"parent": null
}
5 => Essec\Faculty\Model\Contribution {#2248
#_index: "academ_contributions"
#_id: "15128"
#_source: array:18 [
"id" => "15128"
"slug" => "from-people-to-objects-the-digital-transformation-of-fields"
"yearMonth" => "2022-07"
"year" => "2022"
"title" => "From People to Objects: The digital transformation of fields"
"description" => "ALAIMO, C. (2022). From People to Objects: The digital transformation of fields. <i>Organization Studies</i>, 43(7), pp. 1091-1114."
"authors" => array:1 [
0 => array:3 [
"name" => "ALAIMO Cristina"
"bid" => "B00820414"
"slug" => "alaimo-cristina"
]
]
"ouvrage" => ""
"keywords" => []
"updatedAt" => "2024-09-09 12:23:29"
"publicationUrl" => "https://doi.org/10.1177/01708406211030654"
"publicationInfo" => array:3 [
"pages" => "1091-1114"
"volume" => "43"
"number" => "7"
]
"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" => "Digital technologies are reconfiguring organizations and their environments. Activities are increasingly distributed across fields and coordinated by data, algorithms and machines. This paper investigates data objects (objects made of data structured and aggregated under a specific template) and their role in structuring fields and field practices. It studies programmatic advertising, an automated bidding process with hundreds of participants, whereby media spaces are auctioned in real time as individual users browse online content. To work on such a large scale, programmatic advertising must standardize existing field knowledge into data and coordinate collective action through objects, algorithms and technologies. This study shows how data, data objects and their infrastructures are involved in transforming the links between institutions and practice. The makeup and functioning of data and data objects reorient existing cognitive, normative and regulative structures, constrain the rule of engagement of actors and enable field-level autonomous interaction. The datafication of knowledge and automation of practices exposed in this paper call for a thorough rethinking of existing approaches to the concepts of organizations and fields."
"en" => "Digital technologies are reconfiguring organizations and their environments. Activities are increasingly distributed across fields and coordinated by data, algorithms and machines. This paper investigates data objects (objects made of data structured and aggregated under a specific template) and their role in structuring fields and field practices. It studies programmatic advertising, an automated bidding process with hundreds of participants, whereby media spaces are auctioned in real time as individual users browse online content. To work on such a large scale, programmatic advertising must standardize existing field knowledge into data and coordinate collective action through objects, algorithms and technologies. This study shows how data, data objects and their infrastructures are involved in transforming the links between institutions and practice. The makeup and functioning of data and data objects reorient existing cognitive, normative and regulative structures, constrain the rule of engagement of actors and enable field-level autonomous interaction. The datafication of knowledge and automation of practices exposed in this paper call for a thorough rethinking of existing approaches to the concepts of organizations and fields."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-21T12:21:50.000Z"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 6.411672
+"parent": null
}
6 => Essec\Faculty\Model\Contribution {#2252
#_index: "academ_contributions"
#_id: "15127"
#_source: array:18 [
"id" => "15127"
"slug" => "the-making-of-data-commodities-data-analytics-as-an-embedded-process"
"yearMonth" => "2021-08"
"year" => "2021"
"title" => "The Making of Data Commodities: Data Analytics as an Embedded Process"
"description" => "AALTONEN, A., ALAIMO, C. et KALLINIKOS, J. (2021). The Making of Data Commodities: Data Analytics as an Embedded Process. <i>Journal of Management Information Systems</i>, 38(2), pp. 401-429."
"authors" => array:3 [
0 => array:3 [
"name" => "ALAIMO Cristina"
"bid" => "B00820414"
"slug" => "alaimo-cristina"
]
1 => array:1 [
"name" => "Aaltonen Aleksi"
]
2 => array:1 [
"name" => "Kallinikos Jannis"
]
]
"ouvrage" => ""
"keywords" => array:7 [
0 => "Advertising audience"
1 => "data analytics"
2 => "big data"
3 => "case study"
4 => "data commodities"
5 => "data-based objects"
6 => "social practices"
]
"updatedAt" => "2024-09-09 12:25:58"
"publicationUrl" => "https://doi.org/10.1080/07421222.2021.1912928"
"publicationInfo" => array:3 [
"pages" => "401-429"
"volume" => "38"
"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" => "This paper studies the process by which data are generated, managed, and assembled into tradable objects we call data commodities. We link the making of such objects to the open and editable nature of digital data and to the emerging big data industry in which they are diffused items of exchange, repurposing, and aggregation. We empirically investigate the making of data commodities in the context of an innovative telecommunications operator, analyzing its efforts to produce advertising audiences by repurposing data from the network infrastructure. The analysis unpacks the processes by which data are repurposed and aggregated into novel data-based objects that acquire organizational and industry relevance through carefully maintained metrics and practices of data management and interpretation. Building from our findings, we develop a process theory that explains the transformations data undergo on their way to becoming commodities and shows how these transformations are related to organizational practices and to the editable, portable, and recontextualizable attributes of data. The theory complements the standard picture of data encountered in data science and analytics, and renews and extends the promise of a constructivist Information Systems (IS) research into the age of datafication. The results provide practitioners, regulators included, vital insights concerning data management practices that produce commodities from data."
"en" => "This paper studies the process by which data are generated, managed, and assembled into tradable objects we call data commodities. We link the making of such objects to the open and editable nature of digital data and to the emerging big data industry in which they are diffused items of exchange, repurposing, and aggregation. We empirically investigate the making of data commodities in the context of an innovative telecommunications operator, analyzing its efforts to produce advertising audiences by repurposing data from the network infrastructure. The analysis unpacks the processes by which data are repurposed and aggregated into novel data-based objects that acquire organizational and industry relevance through carefully maintained metrics and practices of data management and interpretation. Building from our findings, we develop a process theory that explains the transformations data undergo on their way to becoming commodities and shows how these transformations are related to organizational practices and to the editable, portable, and recontextualizable attributes of data. The theory complements the standard picture of data encountered in data science and analytics, and renews and extends the promise of a constructivist Information Systems (IS) research into the age of datafication. The results provide practitioners, regulators included, vital insights concerning data management practices that produce commodities from data."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-21T12:21:50.000Z"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 6.411672
+"parent": null
}
7 => Essec\Faculty\Model\Contribution {#2255
#_index: "academ_contributions"
#_id: "15129"
#_source: array:18 [
"id" => "15129"
"slug" => "digital-platforms-regulation-an-innovation-centric-view-of-the-eus-digital-markets-act"
"yearMonth" => "2023-01"
"year" => "2023"
"title" => "Digital Platforms Regulation: An Innovation-Centric View of the EU’s Digital Markets Act"
"description" => "CENNAMO, C., KRETSCHMER, T., CONSTANTINIDES, P., ALAIMO, C. et SANTALÓ, J. (2023). Digital Platforms Regulation: An Innovation-Centric View of the EU’s Digital Markets Act. <i>Journal of European Competition Law & Practice</i>, 14(1), pp. 44-51."
"authors" => array:5 [
0 => array:3 [
"name" => "ALAIMO Cristina"
"bid" => "B00820414"
"slug" => "alaimo-cristina"
]
1 => array:1 [
"name" => "Cennamo Carmelo"
]
2 => array:1 [
"name" => "Kretschmer Tobias"
]
3 => array:1 [
"name" => "Constantinides Panos"
]
4 => array:1 [
"name" => "Santaló Juan"
]
]
"ouvrage" => ""
"keywords" => array:2 [
0 => "Digital Platforms Regulation"
1 => "EU"
]
"updatedAt" => "2024-10-02 15:05:50"
"publicationUrl" => "https://doi.org/10.1093/jeclap/lpac043"
"publicationInfo" => array:3 [
"pages" => "44-51"
"volume" => "14"
"number" => "1"
]
"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 EU’s Digital Markets Act (DMA) is set to become the new standard regulatory framework of the digital economy. It introduces some innovative aspects in ex ante regulation to promote market contestability in a promising direction, like the general objective of counteracting practices that ossify competition and limit contestability of core services in the digital domain. However, the current approach with a scattered list of binding provisions and obligations not properly tailored to the varying types of digital platforms and business models may not deliver on the law’s premises and objectives of a more contestable and fair competitive landscape."
"en" => "The EU’s Digital Markets Act (DMA) is set to become the new standard regulatory framework of the digital economy. It introduces some innovative aspects in ex ante regulation to promote market contestability in a promising direction, like the general objective of counteracting practices that ossify competition and limit contestability of core services in the digital domain. However, the current approach with a scattered list of binding provisions and obligations not properly tailored to the varying types of digital platforms and business models may not deliver on the law’s premises and objectives of a more contestable and fair competitive landscape."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-21T12:21:50.000Z"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 6.411672
+"parent": null
}
8 => Essec\Faculty\Model\Contribution {#2256
#_index: "academ_contributions"
#_id: "15130"
#_source: array:18 [
"id" => "15130"
"slug" => "data-and-value"
"yearMonth" => "2020-07"
"year" => "2020"
"title" => "Data and value"
"description" => "ALAIMO, C., KALLINIKOS, J. et AALTONEN, A. (2020). Data and value. Dans: Satish Nambisan, Kalle Lyytinen, Youngjin Yoo eds. <i>Handbook of Digital Innovation</i>. 1 ed. Edward Elgar Publishing Ltd, pp. 162-178."
"authors" => array:3 [
0 => array:3 [
"name" => "ALAIMO Cristina"
"bid" => "B00820414"
"slug" => "alaimo-cristina"
]
1 => array:1 [
"name" => "Kallinikos Jannis"
]
2 => array:1 [
"name" => "Aaltonen Aleksi"
]
]
"ouvrage" => "Handbook of Digital Innovation"
"keywords" => []
"updatedAt" => "2024-09-09 12:22:12"
"publicationUrl" => "https://doi.org/10.4337/9781788119986.00022"
"publicationInfo" => array:3 [
"pages" => "162-178"
"volume" => ""
"number" => "9"
]
"type" => array:2 [
"fr" => "Chapitres"
"en" => "Book chapters"
]
"support_type" => array:2 [
"fr" => "Editeur"
"en" => "Publisher"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "Value creation is currently intertwined with the data produced and circulated in various settings across the expanding digital economy. This chapter analyzes some of the characteristics of digital data and outlines the main steps of the data value chain. The analysis highlights the importance of transformation processes data undergo during their journey from procurement to service delivery and the structural and institutional conditions in which such transformations are embedded. The account of value creation is aligned with prevailing views that consider value as a never-ending process, extending far beyond the making and delivery of “final” goods and services. Data commodities such as advertising audiences, personalized suggestions, indexes, scores and rankings are only transient achievements of data relations that need to be steadily recalculated and refigured. At the same time, this account of value brings about a renewed concern for the conditions of production (as distinct from consumption) and the structural and technological forces that condition the data transformations we link with value creation."
"en" => "Value creation is currently intertwined with the data produced and circulated in various settings across the expanding digital economy. This chapter analyzes some of the characteristics of digital data and outlines the main steps of the data value chain. The analysis highlights the importance of transformation processes data undergo during their journey from procurement to service delivery and the structural and institutional conditions in which such transformations are embedded. The account of value creation is aligned with prevailing views that consider value as a never-ending process, extending far beyond the making and delivery of “final” goods and services. Data commodities such as advertising audiences, personalized suggestions, indexes, scores and rankings are only transient achievements of data relations that need to be steadily recalculated and refigured. At the same time, this account of value brings about a renewed concern for the conditions of production (as distinct from consumption) and the structural and technological forces that condition the data transformations we link with value creation."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-21T12:21:50.000Z"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 6.411672
+"parent": null
}
9 => Essec\Faculty\Model\Contribution {#2257
#_index: "academ_contributions"
#_id: "15131"
#_source: array:18 [
"id" => "15131"
"slug" => "objects-metrics-and-practices-an-inquiry-into-the-programmatic-advertising-ecosystem"
"yearMonth" => "2018-11"
"year" => "2018"
"title" => "Objects, Metrics and Practices: An Inquiry into the Programmatic Advertising Ecosystem"
"description" => "ALAIMO, C. et KALLINIKOS, J. (2018). Objects, Metrics and Practices: An Inquiry into the Programmatic Advertising Ecosystem. Dans: Ulrike Schultze, Margunn Aanestad, Magnus Mähring, Carsten Østerlund, Kai Riemer eds. <i>Living with Monsters? Social Implications of Algorithmic Phenomena, Hybrid Agency, and the Performativity of Technology</i>. 1 ed. Cham: Springer International Publishing, pp. 110-123."
"authors" => array:2 [
0 => array:3 [
"name" => "ALAIMO Cristina"
"bid" => "B00820414"
"slug" => "alaimo-cristina"
]
1 => array:1 [
"name" => "Kallinikos Jannis"
]
]
"ouvrage" => "Living with Monsters? Social Implications of Algorithmic Phenomena, Hybrid Agency, and the Performativity of Technology"
"keywords" => []
"updatedAt" => "2024-09-09 13:17:22"
"publicationUrl" => "https://doi.org/10.1007/978-3-030-04091-8_9"
"publicationInfo" => array:3 [
"pages" => "110-123"
"volume" => "543"
"number" => ""
]
"type" => array:2 [
"fr" => "Chapitres"
"en" => "Book chapters"
]
"support_type" => array:2 [
"fr" => "Editeur"
"en" => "Publisher"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => ""
"en" => ""
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-21T12:21:50.000Z"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 6.411672
+"parent": null
}
10 => Essec\Faculty\Model\Contribution {#2258
#_index: "academ_contributions"
#_id: "15132"
#_source: array:18 [
"id" => "15132"
"slug" => "encoding-the-everyday-the-infrastructural-apparatus-of-social-data"
"yearMonth" => "2016-01"
"year" => "2016"
"title" => "Encoding the Everyday: The Infrastructural Apparatus of Social Data"
"description" => "ALAIMO, C. et KALLINIKOS, J. (2016). Encoding the Everyday: The Infrastructural Apparatus of Social Data. Dans: Cassidy R. Sugimoto, Hamid R. Ekbia, Michael Mattioli eds. <i>Big Data Is Not a Monolith</i>. 1 ed. The MIT Press, pp. 77-90."
"authors" => array:2 [
0 => array:3 [
"name" => "ALAIMO Cristina"
"bid" => "B00820414"
"slug" => "alaimo-cristina"
]
1 => array:1 [
"name" => "Kallinikos Jannis"
]
]
"ouvrage" => "Big Data Is Not a Monolith"
"keywords" => array:1 [
0 => "social data"
]
"updatedAt" => "2024-10-02 15:07:22"
"publicationUrl" => "https://doi.org/10.7551/mitpress/10309.003.0012"
"publicationInfo" => array:3 [
"pages" => "77-90"
"volume" => ""
"number" => ""
]
"type" => array:2 [
"fr" => "Chapitres"
"en" => "Book chapters"
]
"support_type" => array:2 [
"fr" => "Editeur"
"en" => "Publisher"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => ""
"en" => ""
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-21T12:21:50.000Z"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 6.411672
+"parent": null
}
11 => Essec\Faculty\Model\Contribution {#2259
#_index: "academ_contributions"
#_id: "15133"
#_source: array:18 [
"id" => "15133"
"slug" => "social-media-and-the-infrastructuring-of-sociality"
"yearMonth" => "2019-08"
"year" => "2019"
"title" => "Social Media and the Infrastructuring of Sociality"
"description" => "ALAIMO, C. et KALLINIKOS, J. (2019). Social Media and the Infrastructuring of Sociality. Dans: Martin Kornberger, Geoffrey C. Bowker, Julia Elyachar, Andrea Mennicken, Peter Miller, Joanne Randa Nucho, Neil Pollock eds. <i>Thinking Infrastructures</i>. 1 ed. Emerald Publishing Limited, pp. 289-306."
"authors" => array:2 [
0 => array:3 [
"name" => "ALAIMO Cristina"
"bid" => "B00820414"
"slug" => "alaimo-cristina"
]
1 => array:1 [
"name" => "Kallinikos Jannis"
]
]
"ouvrage" => "Thinking Infrastructures"
"keywords" => []
"updatedAt" => "2024-09-09 12:20:07"
"publicationUrl" => "https://doi.org/10.1108/S0733-558X20190000062018"
"publicationInfo" => array:3 [
"pages" => "289-306"
"volume" => ""
"number" => ""
]
"type" => array:2 [
"fr" => "Chapitres"
"en" => "Book chapters"
]
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"en" => "Publisher"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "Social media stage online patterns of social interaction that differ remarkably from ordinary forms of acting, talking and relating. To unravel these differences, we review the literature on micro-sociology and social psychology and derive a shorthand version of socially-embedded forms of interaction. We use that version as a yardstick for reconstructing and assessing the patterns of sociality social media promote. Our analysis shows that social media platforms stage highly stylized forms of social interaction such as liking, following, tagging, etc. that essentially serve the purpose of generating a calculable and machine-readable data footprint out of user platform participation. This online stylization of social interaction and the data it procures are, however, only the first steps of what we call the infrastructuring of social media. Social media use the data footprint that results from the stylization of social interaction to derive larger (and commercially relevant) social entities such as audiences, networks and groups that are constantly fed back to individuals and groups of users as personalized recommendations of one form or another. Social media infrastructure sociality as they provide the backstage operations and technological facilities out of which new habits and modes of social relatedness emerge and diffuse across the social fabric."
"en" => "Social media stage online patterns of social interaction that differ remarkably from ordinary forms of acting, talking and relating. To unravel these differences, we review the literature on micro-sociology and social psychology and derive a shorthand version of socially-embedded forms of interaction. We use that version as a yardstick for reconstructing and assessing the patterns of sociality social media promote. Our analysis shows that social media platforms stage highly stylized forms of social interaction such as liking, following, tagging, etc. that essentially serve the purpose of generating a calculable and machine-readable data footprint out of user platform participation. This online stylization of social interaction and the data it procures are, however, only the first steps of what we call the infrastructuring of social media. Social media use the data footprint that results from the stylization of social interaction to derive larger (and commercially relevant) social entities such as audiences, networks and groups that are constantly fed back to individuals and groups of users as personalized recommendations of one form or another. Social media infrastructure sociality as they provide the backstage operations and technological facilities out of which new habits and modes of social relatedness emerge and diffuse across the social fabric."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-21T12:21:50.000Z"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 6.411672
+"parent": null
}
12 => Essec\Faculty\Model\Contribution {#2260
#_index: "academ_contributions"
#_id: "15134"
#_source: array:18 [
"id" => "15134"
"slug" => "strategizing-with-data-data-based-innovations-and-complementarities"
"yearMonth" => "2023-05"
"year" => "2023"
"title" => "Strategizing with data: data-based innovations and complementarities"
"description" => "ALAIMO, C. et AALTONEN, A. (2023). Strategizing with data: data-based innovations and complementarities. Dans: Carmelo Cennamo, Giovanni Dagnino, Feng Zhu eds. <i>Research Handbook on Digital Strategy</i>. 1 ed. Edward Elgar Publishing Ltd, pp. 239-254."
"authors" => array:2 [
0 => array:3 [
"name" => "ALAIMO Cristina"
"bid" => "B00820414"
"slug" => "alaimo-cristina"
]
1 => array:1 [
"name" => "Aaltonen Aleksi"
]
]
"ouvrage" => "Research Handbook on Digital Strategy"
"keywords" => array:6 [
0 => "Digital data strategy"
1 => "Data work practices"
2 => "constitutive role of data"
3 => "Complementarities in digital ecosystems"
4 => "Data-based innovations"
5 => "Regulation approaches"
]
"updatedAt" => "2024-09-09 12:18:19"
"publicationUrl" => "https://doi.org/10.4337/9781800378902.00021"
"publicationInfo" => array:3 [
"pages" => "239-254"
"volume" => ""
"number" => ""
]
"type" => array:2 [
"fr" => "Chapitres"
"en" => "Book chapters"
]
"support_type" => array:2 [
"fr" => "Editeur"
"en" => "Publisher"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "In this chapter, we discuss the challenges digital data pose for strategizing. The nature and volume of available data, together with their modalities of production, circulation, and use, have changed dramatically over the last two decades. Much of digital data originates from fast, heterogeneous, and automated cycles of production that are outside the control of traditional expertise and call for new strategy tools and organizational capabilities. By drawing upon two case studies, we consider three takeaways for strategizing with data. First, we focus on the importance of implementing appropriate data work practices that respond to the novel characteristics of digital data. Second, we illustrate the constitutive role of data in creating and managing new kinds of complementarities in digital ecosystems whose dynamics cannot be explained by recourse to existing definitions. Third, we argue, ideas such as the existence of stable markets or that resources are clearly defined entities situated either outside or inside the boundaries of an organization hold less explanatory power today than they once did. This calls for a substantial reassessment of current approaches to regulation which seem to disregard the potential of data-based innovation and the change of framework it requires."
"en" => "In this chapter, we discuss the challenges digital data pose for strategizing. The nature and volume of available data, together with their modalities of production, circulation, and use, have changed dramatically over the last two decades. Much of digital data originates from fast, heterogeneous, and automated cycles of production that are outside the control of traditional expertise and call for new strategy tools and organizational capabilities. By drawing upon two case studies, we consider three takeaways for strategizing with data. First, we focus on the importance of implementing appropriate data work practices that respond to the novel characteristics of digital data. Second, we illustrate the constitutive role of data in creating and managing new kinds of complementarities in digital ecosystems whose dynamics cannot be explained by recourse to existing definitions. Third, we argue, ideas such as the existence of stable markets or that resources are clearly defined entities situated either outside or inside the boundaries of an organization hold less explanatory power today than they once did. This calls for a substantial reassessment of current approaches to regulation which seem to disregard the potential of data-based innovation and the change of framework it requires."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-21T12:21:50.000Z"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 6.411672
+"parent": null
}
13 => Essec\Faculty\Model\Contribution {#2261
#_index: "academ_contributions"
#_id: "15256"
#_source: array:18 [
"id" => "15256"
"slug" => "data-ecosystem-and-data-value-chain-an-exploration-of-drones-technology-applications"
"yearMonth" => "2023-05"
"year" => "2023"
"title" => "Data Ecosystem and Data Value Chain: An Exploration of Drones Technology Applications"
"description" => "DE SIMONE, C., CECI, F. et ALAIMO, C. (2023). Data Ecosystem and Data Value Chain: An Exploration of Drones Technology Applications. Dans: Stefano Za, Robert Winter, Alessandra Lazazzara eds. <i>Sustainable Digital Transformation</i>. 1 ed. Springer International Publishing, pp. 203-218."
"authors" => array:3 [
0 => array:3 [
"name" => "ALAIMO Cristina"
"bid" => "B00820414"
"slug" => "alaimo-cristina"
]
1 => array:1 [
"name" => "De Simone Cristina"
]
2 => array:1 [
"name" => "Ceci Federica"
]
]
"ouvrage" => "Sustainable Digital Transformation"
"keywords" => []
"updatedAt" => "2024-10-02 15:08:58"
"publicationUrl" => "https://doi.org/10.1007/978-3-031-15770-7_13."
"publicationInfo" => array:3 [
"pages" => "203-218"
"volume" => ""
"number" => ""
]
"type" => array:2 [
"fr" => "Chapitres"
"en" => "Book chapters"
]
"support_type" => array:2 [
"fr" => "Editeur"
"en" => "Publisher"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => ""
"en" => ""
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-21T12:21:50.000Z"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 6.411672
+"parent": null
}
14 => Essec\Faculty\Model\Contribution {#2262
#_index: "academ_contributions"
#_id: "15255"
#_source: array:18 [
"id" => "15255"
"slug" => "what-is-missing-from-research-on-data-in-information-systems-insights-from-the-inaugural-workshop-on-data-research"
"yearMonth" => "2023-05"
"year" => "2023"
"title" => "What is Missing from Research on Data in Information Systems? Insights from the Inaugural Workshop on Data Research"
"description" => "AALTONEN, A., ALAIMO, C., PARMIGGIANI, E., STELMASZAK, M., JARVENPAA, S.L., KALLINIKOS, J. et MONTEIRO, E. (2023). What is Missing from Research on Data in Information Systems? Insights from the Inaugural Workshop on Data Research. <i>Communications of the Association for Information Systems</i>, 53(1), pp. 475-490."
"authors" => array:7 [
0 => array:3 [
"name" => "ALAIMO Cristina"
"bid" => "B00820414"
"slug" => "alaimo-cristina"
]
1 => array:1 [
"name" => "Aaltonen Aleksi"
]
2 => array:1 [
"name" => "Parmiggiani Elena"
]
3 => array:1 [
"name" => "Stelmaszak Marta"
]
4 => array:1 [
"name" => "Jarvenpaa Sirkka L."
]
5 => array:1 [
"name" => "Kallinikos Jannis"
]
6 => array:1 [
"name" => "Monteiro Eric"
]
]
"ouvrage" => ""
"keywords" => array:2 [
0 => "data"
1 => "information systems"
]
"updatedAt" => "2024-10-02 14:54:07"
"publicationUrl" => "https://doi.org/10.17705/1CAIS.05320"
"publicationInfo" => array:3 [
"pages" => "475-490"
"volume" => "53"
"number" => "1"
]
"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" => "Data are the building blocks of the ongoing digital revolution, yet there are still many unresolved questions regarding their role in the study of information systems (IS), management, and innovation. As data become increasingly pervasive elements of socio-economic life, we ask whether IS needs to expand the ways in which it conceptualizes data and their role in business and society. This panel report summarizes discussions that took place in the inaugural workshop on data research. The workshop asked what is missing from research on data in IS from four well-known scholars whose work touches upon the topic in different ways. Three main themes emerged from the speakers’ statements that were further discussed by the workshop participants: 1) the need to go beyond traditional ways of conceiving data, 2) the need to investigate the relationship between data and meaning, and 3) the need to study new data management and governance approaches. We present these research themes and connect them with future research directions."
"en" => "Data are the building blocks of the ongoing digital revolution, yet there are still many unresolved questions regarding their role in the study of information systems (IS), management, and innovation. As data become increasingly pervasive elements of socio-economic life, we ask whether IS needs to expand the ways in which it conceptualizes data and their role in business and society. This panel report summarizes discussions that took place in the inaugural workshop on data research. The workshop asked what is missing from research on data in IS from four well-known scholars whose work touches upon the topic in different ways. Three main themes emerged from the speakers’ statements that were further discussed by the workshop participants: 1) the need to go beyond traditional ways of conceiving data, 2) the need to investigate the relationship between data and meaning, and 3) the need to study new data management and governance approaches. We present these research themes and connect them with future research directions."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-21T12:21:50.000Z"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 6.411672
+"parent": null
}
15 => Essec\Faculty\Model\Contribution {#2263
#_index: "academ_contributions"
#_id: "15257"
#_source: array:18 [
"id" => "15257"
"slug" => "data-rules-reinventing-the-market-economy"
"yearMonth" => "2024-06"
"year" => "2024"
"title" => "Data Rules Reinventing the Market Economy"
"description" => "ALAIMO, C. et KALLINIKOS, J. (2024). <i>Data Rules Reinventing the Market Economy</i>. The MIT Press."
"authors" => array:2 [
0 => array:3 [
"name" => "ALAIMO Cristina"
"bid" => "B00820414"
"slug" => "alaimo-cristina"
]
1 => array:1 [
"name" => "Kallinikos Jannis"
]
]
"ouvrage" => ""
"keywords" => []
"updatedAt" => "2024-10-31 13:51:19"
"publicationUrl" => "https://doi.org/10.7551/mitpress/11751.001.0001"
"publicationInfo" => array:3 [
"pages" => null
"volume" => null
"number" => null
]
"type" => array:2 [
"fr" => "Livres"
"en" => "Books"
]
"support_type" => array:2 [
"fr" => "Editeur"
"en" => "Publisher"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => """
Digital data have become the critical frontier where emerging economic practices and organizational forms confront the traditional economic order and its institutions. In Data Rules, Cristina Alaimo and Jannis Kallinikos establish a social science framework for analyzing the unprecedented social and economic restructuring brought about by data. Working at the intersection of information systems and organizational studies, they draw extensively on intellectual currents in sociology, semiotics, cognitive science and technology, and social theory. Making the case for turning “data-making” into an area of inquiry of its own, the authors uncover how data are deeply implicated in rewiring the institutions of the market economy.\n
The authors associate digital data with the decentering of organizations. As they point out, centered systems make sense only when firms (and formal organizations more broadly) can keep the external world at arm's length and maintain a relative operation independence from it. These patterns no longer hold. Data transform the production of goods and services to an endless series of exchanges and interactions that defeat the functional logics of markets and organizations. The diffusion of platforms and ecosystems is indicative of these broader transformations. Rather than viewing data as simply a force of surveillance and control, the authors place the transformative potential of data at the center of an emerging socioeconomic order that restructures society and its institutions.
"""
"en" => """
Digital data have become the critical frontier where emerging economic practices and organizational forms confront the traditional economic order and its institutions. In Data Rules, Cristina Alaimo and Jannis Kallinikos establish a social science framework for analyzing the unprecedented social and economic restructuring brought about by data. Working at the intersection of information systems and organizational studies, they draw extensively on intellectual currents in sociology, semiotics, cognitive science and technology, and social theory. Making the case for turning “data-making” into an area of inquiry of its own, the authors uncover how data are deeply implicated in rewiring the institutions of the market economy.\n
The authors associate digital data with the decentering of organizations. As they point out, centered systems make sense only when firms (and formal organizations more broadly) can keep the external world at arm's length and maintain a relative operation independence from it. These patterns no longer hold. Data transform the production of goods and services to an endless series of exchanges and interactions that defeat the functional logics of markets and organizations. The diffusion of platforms and ecosystems is indicative of these broader transformations. Rather than viewing data as simply a force of surveillance and control, the authors place the transformative potential of data at the center of an emerging socioeconomic order that restructures society and its institutions.
"""
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-21T12:21:50.000Z"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 6.411672
+"parent": null
}
]
"avatar" => "https://faculty.essec.edu/wp-content/uploads/avatars/B00820414.jpg"
"contributionCounts" => 16
"personalLinks" => array:2 [
0 => "<a href="https://orcid.org/" target="_blank">ORCID</a>"
1 => "<a href="https://scholar.google.co.uk/citations?hl=en&user=rN9p_0oAAAAJ" target="_blank">Google scholar</a>"
]
"docTitle" => "Cristina ALAIMO"
"docSubtitle" => "Professeur associé"
"docDescription" => "Département: Systèmes d'Information, Data Analytics et Opérations<br>Campus de Cergy"
"docType" => "cv"
"docPreview" => "<img src="https://faculty.essec.edu/wp-content/uploads/avatars/B00820414.jpg"><span><span>Cristina ALAIMO</span><span>B00820414</span></span>"
"academ_cv_info" => ""
]
#_index: "academ_cv"
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}
