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Year of publication
Subject
All
Data Science 246 Künstliche Intelligenz 144 Data science 141 Artificial intelligence 136 data science 136 Big Data 127 Big data 123 Logistics 108 Industry 4.0 102 Supply Chain Management 96 Innovation 81 Artificial Intelligence 75 Digitalization 63 Supply chain 61 Digitalisierung 60 Lieferkette 60 Logistik 57 Data Mining 52 Digitization 49 Data mining 48 Sustainability 40 City Logistics 38 Maritime Logistics 38 Informationsmanagement 35 Information management 34 Logistics provider 31 Logistikunternehmen 31 Theorie 28 Theory 28 Forecasting model 25 Prognoseverfahren 25 big data 25 Data Analytics 23 Data analytics 21 Industrie 4.0 21 Machine learning 21 Statistical method 20 Statistische Methode 20 Business analysis 18 Unternehmensanalyse 18
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Online availability
All
Free 239 Undetermined 205 CC license 71
Type of publication
All
Article 279 Book / Working Paper 204 Journal 5 Other 1
Type of publication (narrower categories)
All
Article in journal 176 Aufsatz in Zeitschrift 176 Aufsatz im Buch 58 Book section 58 Working Paper 55 Graue Literatur 50 Non-commercial literature 50 Conference paper 48 Konferenzbeitrag 48 Conference Paper 47 Arbeitspapier 40 Aufsatzsammlung 26 Article 23 research-article 9 Hochschulschrift 8 Konferenzschrift 8 Lehrbuch 7 Research Report 5 Handbook 4 Handbuch 4 Collection of articles of several authors 3 Sammelwerk 3 Proceedings 2 Textbook 2 Amtliche Publikation 1 Case study 1 Collection of articles written by one author 1 Einführung 1 Fallstudie 1 Fallstudiensammlung 1 Forschungsbericht 1 Sammlung 1 review 1
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Language
All
English 427 German 49 Undetermined 7 Spanish 4 French 1 Dutch 1
Author
All
Jahn, Carlos 20 Askitas, Nikos 12 Kersten, Wolfgang 12 Nathan, Max 7 Rosso, Anna 7 Charles, Vincent 6 Clausen, Uwe 6 Haasis, Hans-Dietrich 6 Klumpp, Matthias 6 Naudé, Wim 6 Cook, Dianne 5 Zhu, Joe 5 Zschech, Patrick 5 Grafelmann, Michaela 4 Lange, Ann-Kathrin 4 Levina, Anastasia 4 Maydanova, Svetlana 4 Ringle, Christian M. 4 Schwientek, Anne Kathrina 4 Tanaka, Katsuyuki 4 Verbeet, Richard 4 Weigell, Jürgen 4 Zadek, Hartmut 4 Addo, Peter Martey 3 Beverungen, Daniel 3 Dörr, Sebastian 3 Gambacorta, Leonardo 3 Haake, Daniel 3 Hassani, Bertrand 3 Heesen, Bernd 3 Herden, Tino T. 3 Kamihigashi, Takashi 3 Langs, Georg 3 Lehrer, Christiane 3 Lübke, Karsten 3 Meir-Huber, Mario 3 Mishra, Debasisha 3 Ortner, Bernhard 3 Papp, Stefan 3 Pardamean, Bens 3
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Institution
All
Arbeitsmarktservice Österreich (AMS) 4 Internationale Tagung Wirtschaftsinformatik <18., 2023, Paderborn> 3 National Bureau of Economic Research 3 Hamburg International Conference of Logistics <2020, Hamburg; Internet> 2 TCW-Transfer-Centrum für Produktionslogistik und Technologie-Management <München> 2 Technische Universität Hamburg / Institut für Logistik und Unternehmensführung 2 Technische Universität Hamburg / Institute of Human Resource Management and Organizations 2 Carl Hanser Verlag 1 Edward Elgar Publishing 1 Erich Schmidt Verlag 1 Europäische Kommission / Gemeinsame Forschungsstelle 1 Friedrich-Alexander-Universität Erlangen-Nürnberg 1 Hanser Publications 1 Haufe-Lexware GmbH & Co. KG 1 International Conference on Business Excellence <15., 2021, Bukarest> 1 International Conference on Information Systems Development <32., 2024, Danzig> 1 Münchner Management Kolloquium <29., 2022, München> 1 Springer Fachmedien Wiesbaden 1 Springer Vieweg 1 Technische Universität Hamburg / Institut für Maritime Logistik 1 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
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Published in...
All
Data science and innovation in supply chain management : how data transforms the value chain 28 Data science in maritime and city logistics : data-driven solutions for logistics and sustainability 18 European journal of operational research : EJOR 16 Springer eBook Collection 11 Discussion paper series / IZA 7 HMD : Praxis der Wirtschaftsinformatik 7 IZA Discussion Papers 7 Technological forecasting & social change : an international journal 7 Jahrbücher für Nationalökonomie und Statistik 6 International journal of production research 5 Working paper / Department of Econometrics and Business Statistics, Monash University 5 AMS info 4 AMS-Info 4 Lecture Notes in Information Systems and Organisation 4 Proceedings of the Hamburg International Conference of Logistics (HICL) 4 Annals of operations research 3 Business & information systems engineering 3 Data Technologies and Applications 3 Discussion paper series / Research Institute for Economics and Business Administration, Kobe University 3 European research studies 3 HMD Praxis der Wirtschaftsinformatik 3 IEEE transactions on engineering management : EM 3 International Series in Operations Research & Management Science 3 Journal of Asia Business Studies 3 Journal of Risk and Financial Management 3 Journal of business analytics 3 Journal of business logistics : JBL 3 Journal of risk and financial management : JRFM 3 Journal of the Operational Research Society 3 NBER working paper series 3 ZRFC : risk, fraud & compliance ; Prävention und Aufdeckung in der Compliance-Organisation 3 AStA Wirtschafts- und Sozialstatistisches Archiv 2 Advances in marketing, customer relationship management, and e-services (AMCRMES) book series 2 Business & Information Systems Engineering 2 Chapman & Hall/CRC financial mathematics series 2 Computers & operations research : and their applications to problems of world concern ; an international journal 2 Controlling : Zeitschrift für erfolgsorientierte Unternehmenssteuerung 2 Discussion paper / Center for Economic Research, Tilburg University 2 Discussion paper series 2 Health care management science 2
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Source
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ECONIS (ZBW) 367 EconStor 97 Other ZBW resources 20 RePEc 4 BASE 1
Showing 1 - 50 of 489
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Herausforderungen des maschinellen Lernens in der praktischen Prüfarbeit
Bösiger, Sven - 2023
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014286076
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Green Bond Returns and the Dynamics of Green and Conventional Financial Markets: An Analysis Using a Thick Pen
Gronwald, Marc; Wadud, Sania - 2025
This paper explores the relationship between green bond markets and both green and conventional financial markets, while also evaluating their effectiveness as a climate finance instrument. Using the Thick Pen Measure of Association — a visually interpretable tool for analysing co-movement...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015398790
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Green bond returns and the dynamics of green and conventional financial markets : an analysis using a Thick Pen
Gronwald, Marc; Wadud, Sania - 2025
This paper explores the relationship between green bond markets and both green and conventional financial markets, while also evaluating their effectiveness as a climate finance instrument. Using the Thick Pen Measure of Association - a visually interpretable tool for analysing co-movement...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015339840
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An uncertain elite: Professional differences and similarities between engineers and tech workers in times of digital transformation
Krzywdzinski, Martin; Pfeiffer, Sabine; Kuhlmann, Martin; … - In: Work Organisation, Labour & Globalisation 19 (2025) 1, pp. 84-104
The digital transformation of industries has given rise to new categories of tech workers, such as software engineers and UX/UI designers, who now work alongside traditional engineers. This study explores the evolving relationship between these groups, focusing on work processes, status...
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The evolution of electric and hybrid vehicles and their influence on sustainable transport : a review and future research lines
Delso-Vicente, Alberto-Tomas; Camperos, Marisol-Carvajal; … - In: Sustainable technology and entrepreneurship 4 (2025) 2, pp. 1-23
This study presents a systematic review of the academic literature on electric and hybrid vehicles, their ecosystems, and supporting infrastructure over the period 2008-2024. Using the PRISMA methodology, the research evaluates related studies, exploring trends and developments in charging...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015409116
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Churn prediction for SaaS company with machine learning
Sanches, Hugo Eduardo; Possebom, Ayslan Trevizan; … - In: Innovation & management review 22 (2025) 2, pp. 130-142
Purpose In an era marked by fierce business competition, customer retention is crucial for sustaining profitability. Churn prediction, the ability to forecast customer defections, is essential to enhance retention and can profoundly impact a company's bottom line. Among prediction techniques,...
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An analysis of the challenges in the adoption of MLOps
Amrit, Chintan; Narayanappa, Ashwini Kolar - In: Journal of innovation & knowledge : JIK 10 (2025) 1, pp. 1-16
The field of MLOps (Machine Learning Operations), which focuses on effectively managing and operationalizing ML workflows, has grown because of the advancements in machine learning (ML). The goal of this study is to examine and contrast the difficulties encountered in the implementation of MLOps...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015192330
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Business analytics : methods and cases for data-driven decisions
Huntsinger, Richard - 2025
Business analytics is all about leveraging data analysis and analytical modeling methods to achieve business objectives. This is the book for upper division and graduate business students with interest in data science, for data science students with interest in business, and for everyone with...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015189466
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Data science and risk analytics in finance and insurance
Lai, Tze Leung; Xing, Haipeng - 2025 - First edition
PrefacePart 1: Background and Basic Analytics 1. Risk management and regulation2. Basic concepts and methods in risk management3. Financial derivatives and their pricing theory4. Insurance risk and credibility theoryPart 2: Advanced Data and Risk Analytics 5. Supervised and unsupervised...
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The Routledge handbook of artificial intelligence and philanthropy
Ugazio, Giuseppe (ed.); Maricic, Milos (ed.) - 2025
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Data science and risk analytics in finance and insurance
Lai, Tze Leung; Xing, Haipeng - 2025 - First edition
"This book presents statistics and data science methods for risk analytics in quantitative finance and insurance. Part I covers the background, financial models, and data analytical methods for market risk, credit risk, and operational risk in financial instruments, as well as models of risk...
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The Sources of Researcher Variation in Economics
Huntington-Klein, Nick; Pörtner, Claus Chr.; Acharya, … - National Bureau of Economic Research - 2025
We use a rigorous three-stage many-analysts design to assess how different researcher decisions--specifically data cleaning, research design, and the interpretation of a policy question--affect the variation in estimated treatment effects. A total of 146 research teams each completed the same...
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Statistik zwischen Data Science, Artificial Intelligence und Big Data: Beiträge aus dem Kolloquium „Make Statistics great again“
Rendtel, Ulrich; Seidel, Willi; Müller, Christine; … - In: AStA Wirtschafts- und Sozialstatistisches Archiv 16 (2022) 2, pp. 97-147
Die Statistik als fachliche Disziplin muss sich in einem rasch wandelnden Umfeld behaupten, das durch den Aufstieg der Data Science, den Bedeutungszuwachs der künstlichen Intelligenz sowie neue Datenstrukturen charakterisiert wird. Wie kann sich die Statistik hier behaupten oder verlorenes...
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Macrodoelmatigheid master data science & business analytics : analyse van relevante gegevens : rapport
Eijkern, Iris van; Heyma, Arjan; Bussink, Henri - 2022
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The development of educational competences for Romanian students in the context of the evolution of data science and artificial intelligence
Grădinaru, Giani Ionel; Dinu, Vasile; Rotaru, … - In: Amfiteatru Economic 26 (2024) 65, pp. 14-32
The study explores key academic competencies and professional skills in data science in the context of the development of artificial intelligence, highlighting their importance in the business environment. Using the "2022 Stack Overflow Annual Developer Survey" dataset and machine learning...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014465470
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Satellites turn "concrete": Tracking cement with satellite data and neural networks
D'Aspremont, Alexandre; Arous, Simon Ben; Bricongne, … - 2024
This paper exploits daily infrared images taken from satellites to track economic activity in advanced and emerging countries. We first develop a framework to read, clean, and exploit satellite images. Our algorithm uses the laws of physics (Planck's law) and machine learning to detect the heat...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014543624
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Fostering excellent research by the Austrian Micro Data Center (AMDC)
Fuchs, Regina; Göllner, Tobias; Hartmann, Simon; … - In: Jahrbücher für Nationalökonomie und Statistik 244 (2024) 4, pp. 433-445
Access to high quality microdata is a precondition for the empirical investigation of many interrelationships in the economic and social sciences. Therefore, well-functioning research data infrastructure is a cornerstone of a successful science location. While other countries in Europe, such as...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015326099
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Teaching marketing analytics : a pricing case study for quantitative and substantive marketing skills
Skiera, Bernd; Jürgensmeier, Lukas - In: Journal of marketing analytics : JMA 12 (2024) 2, pp. 209-226
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Mathematical programming for simultaneous feature selection and outlier detection under l1 norm
Barbato, Michele; Ceselli, Alberto - In: European journal of operational research : EJOR 316 (2024) 3, pp. 1070-1084
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014577855
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Machine learning algorithms applied to the estimation of liquidity : the 10-year United States treasury bond
Luque Raya, Ignacio Manuel; Luque Raya, Pablo - In: European journal of management and business economics : … 33 (2024) 3, pp. 341-365
Purpose - Having defined liquidity, the aim is to assess the predictive capacity of its representative variables, so that economic fluctuations may be better understood. Design/methodology/approach - Conceptual variables that are representative of liquidity will be used to formulate the...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014581255
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Nutzung von unterschiedlich strukturierten Daten zur Fehleranalyse in Produktionsbetrieben: Eine prototypische Beispielimplementierung
Möhring, Michael; Keller, Barbara - In: HMD Praxis der Wirtschaftsinformatik 61 (2024) 5, pp. 1328-1347
Der Einsatz von Daten mit unterschiedlicher Struktur zur Fehleranalyse in der Produktion ist eine große Herausforderung für Industrieunternehmen. Dieser Artikel zeigt einen prototypischen Lösungsweg auf, wie die Integration von unterschiedlich strukturierten Daten zur Fehleranalyse gelingen...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015393826
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Recent Trends and Developments in Econophysics
Argyrakis, Panos (contributor) - 2024
The current Special Issue brought out the newest trends in Econophysics that have made use of the most recent available tools, such as Big Data. The emphasis of the reprint is on deciphering the effects of current world events, such as the repercussions of the recent war conflicts, the oil and...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015324883
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Evolving demographics: a dynamic clustering approach to analyze residential segregation in Berlin
Masías H., Víctor H.; Stier, Julia; Navarro R., Pilar; … - In: EPJ Data Science 13 (2024) 1, pp. 1-41
This paper examines the phenomenon of residential segregation in Berlin over time using a dynamic clustering analysis approach. Previous research has examined the phenomenon of residential segregation in Berlin at a high spatial and temporal aggregation and statically, i.e. not over time. We...
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An integrative framework to driver innovation among dairy actors
Bonamigo, Andrei; Lopes, Ana Carolina Custódio; … - In: International journal of innovation : IJI journal 12 (2024) 1, pp. 1-58
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014548292
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The development of educational competences for Romanian students in the context of the evolution of data science and artificial intelligence
Grădinaru, Giani Ionel; Dinu, Vasile; Rotaru, … - In: Amfiteatru economic : an economic and business research … 26 (2024) 65, pp. 14-32
The study explores key academic competencies and professional skills in data science in the context of the development of artificial intelligence, highlighting their importance in the business environment. Using the "2022 Stack Overflow Annual Developer Survey" dataset and machine learning...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014464941
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Swel : a domain-specific language for modeling data-intensive workflows
Salado-Cid, Rubén; Vallecillo, Antonio; Munir, Kamram; … - In: Business & information systems engineering 66 (2024) 2, pp. 137-160
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The impact of crises on maritime traffic : a case study of the COVID-19 pandemic and the war in Ukraine
Weçel, Krzysztof; Stróżyna, Milena; Szmydt, Marcin; … - In: Networks and spatial economics : a journal of … 24 (2024) 1, pp. 199-230
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014515525
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Explainability in process outcome prediction : guidelines to obtain interpretable and faithful models
Stevens, Alexander; De Smedt, Johannes - In: European journal of operational research : EJOR 317 (2024) 2, pp. 317-329
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Data science essentials in business administration : a multidisciplinary perspective
Afsharian, Mohsen - In: Decision analytics journal 11 (2024), pp. 1-9
This study presents an overview of data science, exploring the role of data scientists and the methods they employ to investigate analytical problems within business administration. It discusses the responsibilities of data scientists, emphasizing their multidisciplinary nature and the...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015107988
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Satellites turn "concrete" : tracking cement with satellite data and neural networks
D'Aspremont, Alexandre; Arous, Simon Ben; Bricongne, … - 2024
This paper exploits daily infrared images taken from satellites to track economic activity in advanced and emerging countries. We first develop a framework to read, clean, and exploit satellite images. Our algorithm uses the laws of physics (Planck's law) and machine learning to detect the heat...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014484491
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Teaching marketing analytics: a pricing case study for quantitative and substantive marketing skills
Skiera, Bernd; Jürgensmeier, Lukas - In: Journal of Marketing Analytics 12 (2024) 2, pp. 209-226
This article describes a data-driven case study for teaching and assessing students’ skills in marketing analytics, specifically in pricing. This case study combines teaching econometrics to analyze data and substantive marketing to derive managerial insights. The econometric challenge...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015398705
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The role of data science and data analytics for innovation : a literature review
Joergensen, Pedro Natividade; Zaggl, Michael A. - In: Journal of business analytics 7 (2024) 4, pp. 207-223
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Is it possible to detect the insolvency of a company?
Tanaka, Katsuyuki; Higashide, Takuo; Kinkyō, Takuji; … - 2024
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Healthcare through data science : a transdisciplinary perspective from Latin America
Chatterjee, Parag; Armentano, Ricardo - In: IEEE technology and engineering management society body …, (pp. 289-296). 2024
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Workbook - digitale Transformation des Qualitätsmanagements : Data-Science-Innovationen erfolgreich umsetzen
Jöbstl, Oliver; Lipp, Jürgen; Strohrmann, Manfred - 2024
Qualität digitalisieren - Das Workbook zur Umsetzung Durch die vielfältigen Möglichkeiten von Big Data, Artifical Intelligence (KI), Predictive Analytics, Data Science, Process Mining etc. einschließlich der damit verbundenen Kommunikation und Vernetzung verändert sich auch das...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014438615
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AI and data engineering solutions for effective marketing
Alla, Lhoussaine (ed.); Hmioui, Aziz (ed.);  … - 2024
"The book features a highly selective collection of relevant and advanced scientific research by world-renowned researchers and experts in the field. It aims to provide concise and relevant answers to a wide range of questions at the crossroads of reflexivity on the adoption of innovative...
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Applications of operations research and data science in disrupting illicit markets
Fathi, Michel (ed.); Pardalos, Panos M. (ed.);  … - 2024
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Market Power in Artificial Intelligence
Gans, Joshua - National Bureau of Economic Research - 2024
This paper surveys the relevant existing literature that can help researchers and policy makers understand the drivers of competition in markets that constitute the provision of artificial intelligence products. The focus is on three broad markets: training data, input data, and AI predictions....
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Data science in the employee recruitment process
Farinha, João; Pina, Maria Fatima - In: Complex AI dynamics and interactions in management, (pp. 116-153). 2024
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Face-to-face contact and university-industry collaboration : evidence from mobile signaling data in Beijing
Jin, Zerun; Cui, Zitian; Zhu, Shengjun; Xu, Liyan - In: The annals of regional science : an international … 72 (2024) 4, pp. 1255-1276
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Data science and decision analytics
Chen, Victoria C. P. (ed.); Kim, Seoung Bum (ed.) - 2024
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015069911
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What changes and opportunities does big data analytics capability bring to strategic alliance research? : a systematic literature review
Xia, Senmao; Song, Jianmin; Ameen, Nisreen; Vrontis, … - In: International journal of management reviews 26 (2024) 1, pp. 34-53
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Data-driven marketing for strategic success
Rosário, Albérico Travassos (ed.); Cruz, Rui Nunes (ed.);  … - 2024
"This book embarks on a journey through pioneering research and pragmatic applications, unveiling how data science reshapes marketing strategies, adding value to organizations through a better understanding of customers and markets. We explore crucial areas such as customer segmentation,...
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Prognose von Wohnungseinbrüchen mithilfe von Machine-Learning-Algorithmen
Haake, Daniel - In: WISTA – Wirtschaft und Statistik 73 (2021) 2, pp. 59-71
Kann man mit Machine-Learning-Algorithmen prognostizieren, ob es nach einem erfolgten Wohnungseinbruchdiebstahl in kurzer Zeit und in unmittelbarer Nähe zu Nachfolgedelikten kommen wird? Dieser Frage geht der vorliegende Artikel anhand von Daten aus Baden-Württemberg nach. Dabei zieht er einen...
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Prognose von Wohnungseinbrüchen mithilfe von Machine-Learning-Algorithmen
Haake, Daniel - In: Wirtschaft und Statistik : WISTA (2021) 2, pp. 59-71
Kann man mit Machine-Learning-Algorithmen prognostizieren, ob es nach einem erfolgten Wohnungseinbruchdiebstahl in kurzer Zeit und in unmittelbarer Nähe zu Nachfolgedelikten kommen wird? Dieser Frage geht der vorliegende Artikel anhand von Daten aus Baden-Württemberg nach. Dabei zieht er einen...
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Data science in finance and economics : DSFE
Springfield, MO : AIMS Press - Volume 1, issue 1 (2021)-
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Data science and management : DSM
[Amsterdam] : Elsevier B.V. - Volume 1, issue 1 (March 2021)-
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Fourth Industrial Revolution and Evolution of Data Science: Challenges for Official Statistics
Popoola, Osuolale Peter; Adeboye, Olawale Nureni - 2023
Fourth Industrial Revolution is describes as exponential growth of several key technological fields’ concepts, such as intelligent materials, cloud computing, cyber-physical systems, data exchange, the Internet of things and blockchain technology. At its core, data represents a post-industrial...
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Beruf und Beschäftigung von AbsolventInnen wirtschaftswissenschaftlicher Hochschulausbildungen am Beispiel "Statistik/Datenanalyse/Data Science": Trends und Entwicklungen
2023
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Beruf und Beschäftigung von AbsolventInnen ingenieurwissenschaftlicher Hochschulausbildungen am Beispiel "Technische Physik": Trends und Entwicklungen
2023
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014540087
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