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Economist for Data Economy
Tel: +49 221 4981-415 Mail: buechel@iwkoeln.deResearch unit
Büchel, Jan / Rusche, Christian, 2023, Datenbewertung der Unternehmen – Status quo und Auswirkungen von Unsicherheit, in: IW-Trends, 50. Jg., Nr. 3, S. 107-125
Zur Studie
Büchel, Jan / Engels, Barbara, 2023, Data Sharing in Deutschland, in: IW-Trends, 50. Jg., Nr. 2, S. 19-37
Zur Studie
Büchel, Jan / Rusche, Christian, 2023, Theoretische Auswirkungen von Unsicherheit bei der Bewertung von Daten. Ein mikroökonomischer Ansatz, Studie im Rahmen Projekts IEDS, gefördert und betreut durch das Bundesministerium für Bildung und Forschung (BMBF), IW-Report, Nr. 33, Köln
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Büchel, Jan / Engler, Jan Felix / Mertens, Armin, 2023, Gesuchte Datenkompetenzen in Deutschland, in: IW-Trends, 50. Jg., Nr. 2, S. 3-17
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Büchel, Jan / Mertens, Armin, 2023, Wofür Unternehmen ChatGPT einsetzen, IW-Kurzbericht, Nr. 31, Köln
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Büchel, Jan / Röhl, Klaus-Heiner, 2022, Sind anhaltende Produktivitätsunterschiede zwischen West- und Ostdeutschland auch durch Unterschiede in der Datenbewirtschaftung zu erklären?, in: IW-Trends, 49. Jg., Nr. 4, 23-43
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Büchel, Jan / Engels, Barbara, 2022, Viele Unternehmen sind nicht bereit für die Datenwirtschaft, IW-Kurzbericht, Nr. 96, Köln
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Büchel, Jan / Engels, Barbara, 2022, Branchentrends beim Data Sharing. Status Quo und Use Cases in Deutschland, IW-Report, Nr. 53, Köln
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Büchel, Jan / Klös, Hans-Peter, 2022, Metaverse. Hype oder “next big thing”?, IW-Report, Nr. 42, Köln
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Jan Büchel / Barbara Engels, 2022, Datenbewirtschaftung von Unternehmen in Deutschland, in: IW-Trends, 49. Jg., Nr. 1, S. 73-90
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Büchel, Jan / Engels, Barbara, 2022, Digitalisierungsindex 2022. Digitalisierung der Wirtschaft in Deutschland, Kurzfassung der Ergebnisse des Digitalisierungsindex im Rahmen des Projekts „Entwicklung und Messung der Digitalisierung der Wirtschaft am Standort Deutschland“ im Auftrag des Bundesministeriums für Wirtschaft und Klimaschutz (BMWK), Köln
Zur Studie
Büchel, Jan / Engels, Barbara, 2022, The Importance of the Data Economy for Europe’s Digital Strategic Autonomy, in: European Liberal Forum (Hg.), Decoding EU Digital Strategic Autonomy. Sectors, Issues, and Partners, Techno-Politics Series, No.1, S. 13-18
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Data is becoming increasingly important both for companies and for national economies. Since the full potential of business data can only be realised when several users exploit it simultaneously, data sharing is also becoming more common.
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Digital data is a key element in processes, products and business models. Thus, data sharing is a matter of great importance. The present analysis examines how intensively companies in Germany share data.
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Businesses can benefit from effective data management and data sharing with other businesses. Data recipients can use the data for product or process optimization, for example, and data providers can receive a fee.
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Employees with data skills help companies to store, manage and use data more efficiently.
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ChatGPT is currently very popular. The AI can answer questions in seconds, summarize entire texts or create programming code. On the one hand, there are many advantages for the economy and society, on the other hand, experts warn of dangers and call for regulation. It is therefore interesting to see whether and for what purposes companies are already using ChatGPT.
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Since the mid-1990s the economies of the five states of ex-communist Eastern Germany have been converging only slowly with the rest of the Republic, though the process has not come to a complete halt.
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The economy in Germany becomes only slightly more digital in 2022 compared to 2021: The Digitalisation Index rises from 107.9 to 108.9 points. Following the sharp rise in 2021, digitalisation can be said to stagnate in 2022.
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Data is the central resource of the digital transformation. It underlies all digital processes, transactions and interactions. The use of this data is key to innovation and sustainable growth (BMWK, 2022). Currently, however, many companies in Germany do not meet the requirements to be able to use data efficiently. This is shown by a survey of 1,051 companies from industry and industry-related service providers.
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Data is generated everywhere along the value chain. Each player produces data specifically or as a by-product at various points in the production process. This data can offer significant benefits for the companies themselves and for the economy as a whole.
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Not only since the Facebook group renamed itself Meta in October 2021 has the topic of metaverse gained substantial importance. Experiences due to the corona pandemic have also spurred digital applications to a great extent.
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