Digitale Arbeitswelt – Chancen und Herausforderungen für Beschäftigte und Arbeitsmarkt
Der digitale Wandel der Arbeitswelt gilt als eine der großen Herausforderungen für Wirtschaft und Gesellschaft. Wie arbeiten wir in Zukunft? Welche Auswirkungen hat die Digitalisierung und die Nutzung Künstlicher Intelligenz auf Beschäftigung und Arbeitsmarkt? Welche Qualifikationen werden künftig benötigt? Wie verändern sich Tätigkeiten und Berufe? Welche arbeits- und sozialrechtlichen Konsequenzen ergeben sich daraus?
Dieses Themendossier dokumentiert Forschungsergebnisse zum Thema in den verschiedenen Wirtschaftsbereichen und Regionen.
Im Filter „Autorenschaft“ können Sie auf IAB-(Mit-)Autorenschaft eingrenzen.
- Gesamtbetrachtungen/Positionen
- Arbeitsformen, Arbeitszeit und Gesundheit
- Qualifikationsanforderungen und Berufe
- Arbeitsplatz- und Beschäftigungseffekte
- Wirtschaftsbereiche
- Arbeits- und sozialrechtliche Aspekte / digitale soziale Sicherung
- Deutschland
- Andere Länder/ internationaler Vergleich
- Besondere Personengruppen
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Literaturhinweis
The employment impact of AI technologies among AI innovators (2023)
Zitatform
Damioli, Giacomo, Vincent Van Roy, Daniel Vertesy & Marco Vivarelli (2023): The employment impact of AI technologies among AI innovators. (MSI discussion paper / KU Leuwen 2306), KU Leuven, Faculty of Economics and Business (FEB), Department of Management, Strategy and Innovation, Leuven 36 S.
Abstract
"This study supports the labour-friendly nature of product innovation among developers of artificial intelligence (AI) technologies. GMM-SYS estimates on a worldwide longitudinal dataset covering 3,500 companies that patented inventions related to AI technologies over the period 2000-2016 show a positive and significant impact of AI patent families on employment. The effect is small in magnitude and limited to service sectors and younger firms, which are front-runners of the AI revolution. We also detect some evidence of increasing returns suggesting that innovative companies more focused on AI technologies are those obtaining larger impacts in terms of job creation." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Soziotechnische Optimierungs- und Anpassungsfaktoren im Arbeitssystem Smart Maintenance: Zur besonderen Bedeutung der interdependenten Ressource des Erfahrungswissens (2023)
Eisenmann, Martin;Zitatform
Eisenmann, Martin (2023): Soziotechnische Optimierungs- und Anpassungsfaktoren im Arbeitssystem Smart Maintenance. Zur besonderen Bedeutung der interdependenten Ressource des Erfahrungswissens. (Dortmunder Beiträge zur Sozialforschung), Wiesbaden: Springer Fachmedien Wiesbaden, XVII, 403 S. DOI:10.1007/978-3-658-41135-0
Abstract
"Dieses Buch beschäftigt sich aus einer sozialwissenschaftlichen Perspektive mit den soziotechnischen Anpassungs- und Optimierungsfaktoren, die im Zuge von Digitalisierungsprozessen in innerbetrieblichen Instandhaltungsabteilungen und bei industriellen Serviceanbietern zu erkennen sind. Methodisch greift die Analyse auf die Erstellung von Betriebsfallstudien in den fokussierten Industriesektoren zurück, um anhand dessen die zuvor konzeptionell-theoretisch erarbeiteten Annahmen empirisch zu überprüfen. Im Rahmen dieser Veränderungen kristallisiert sich als ein zentrales Ergebnis der Untersuchung heraus, dass das Erfahrungswissen der Beschäftigten als eine besondere Ressource zu identifizieren ist. Der Autor Martin Eisenmann ist promovierter Sozialwissenschaftler und bei der Sozialforschungsstelle in Dortmund im Fachbereich 'Arbeit und Organisation im sozio-digitalen Wandel' tätig. Sein Forschungsschwerpunkt liegt im Bereich der Digitalisierung von Arbeit in Industrie, Logistik und Instandhaltung." (Verlagsangaben)
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Literaturhinweis
Picking with a robot colleague: A systematic literature review and evaluation of technology acceptance in human–robot collaborative warehouses (2023)
Zitatform
Jacob, Frederic, Eric H. Grosse, Stefan Morana & Cornelius J. König (2023): Picking with a robot colleague: A systematic literature review and evaluation of technology acceptance in human–robot collaborative warehouses. In: Computers & Industrial Engineering, Jg. 180. DOI:10.1016/j.cie.2023.109262
Abstract
"Just-in-time delivery, shorter product life cycles, demographic changes, and the Covid-19 pandemic have driven the industrial application of collaborative robots in warehouses. These robots work alongside humans, increasing their productivity and relieving them of repetitive or strenuous tasks. However, human workers can be reluctant to collaborate with robots owing to certain fears; for example, they may be concerned about job loss, stress, expected effort, or risk to physical integrity. These concerns can negatively impact the acceptance of human–robot collaboration (HRC). As the literature on this topic is fragmented, this study analyzes HRC acceptance in warehouses based on the Unified Theory of Acceptance and Use of Technology. We identify, classify, and analyze studies examining HRC acceptance in warehouses using a systematic literature review methodology. A framework is established to guide the analysis of performance expectancy, effort expectancy, (perceived) occupational safety, psychosocial, and legal and privacy factors. The results indicate the importance of corporate infrastructure and consideration of cognitive factors in particular. The findings of this study will support future research on HRC in warehouses and provide guidance for managers regarding HRC applicability." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Robots and Wages: A Meta-Analysis (2023)
Zitatform
Jurkat, Anne, Rainer Klump & Florian Schneider (2023): Robots and Wages: A Meta-Analysis. (EconStor Preprints 274156), Kiel, 72 S.
Abstract
"The empirical evidence on how industrial robots affect employment and wages is very mixed. Our meta-study helps to uncover the potentially true effect of industrial robots on labor market outcomes and to identify drivers of the heterogeneous empirical results. By means of a systematic literature research, we collected 53 papers containing 2143 estimations for the impact of robot adoption on wages. We observe only limited evidence for a publication bias in favor of negative results. The genuine overall effect of industrial robots on wages is close to zero and both statistically and economically insignificant. With regard to the drivers of heterogeneity, we find that more positive results are obtained if primary estimations a) include more countries in their sample, b) control for ICT capital, demographic developments, or tenure, c) focus on employees that remain employed in the same sector, d) consider only non-manufacturing industries, e) are specified in long differences, and f) come from a peer-reviewed journal article. More negative effects, in turn, are reported for primary estimations that are i) weighted, ii) aggregated at country level, iii) control for trade exposure, iv) and consider only manufacturing industries. We also find some evidence for skill-biased technological change. The magnitude of that effect is albeit small and less robust than one might expect in view of skill-biased technological change. We find little evidence for data dependence." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Micro Data on Robots from the IAB Establishment Panel (2023)
Zitatform
Plümpe, Verena & Jens Stegmaier (2023): Micro Data on Robots from the IAB Establishment Panel. In: Jahrbücher für Nationalökonomie und Statistik, Jg. 243, H. 3-4, S. 397-413., 2022-08-01. DOI:10.1515/jbnst-2022-0045
Abstract
"Micro-data on robots have been very sparse in Germany so far. Consequently, a dedicated section has been introduced in the IAB Establishment Panel 2019 that includes questions on the number and type of robots used. This article describes the background and development of the survey questions, provides information on the quality of the data, possible checks and steps of data preparation. The resulting data is aggregated on industry level and compared with the frequently used robot data by the International Federation of Robotics (IFR) which contains robot supplier information on aggregate robot stocks and deliveries." (Author's abstract, IAB-Doku, © De Gruyter) ((en))
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Literaturhinweis
Berufliche Übergangspfade in der Automobil- und Zulieferindustrie in Baden-Württemberg (2023)
Stohr, Daniel; Höfgen, Teresa; Neist, Sebastian; Müller, Sandra; Spies, Sabrina; Schnautz, Christian; Fries, Jan Ludwig; Runschke, Benedikt;Zitatform
Stohr, Daniel, Sandra Müller, Jan Ludwig Fries, Sebastian Neist, Benedikt Runschke, Sabrina Spies, Teresa Höfgen & Christian Schnautz (2023): Berufliche Übergangspfade in der Automobil- und Zulieferindustrie in Baden-Württemberg. Gütersloh, 83 S. DOI:10.11586/2023018
Abstract
"Die Studie "Berufliche Übergangspfade in der Automobil- und Zulieferindustrie in Baden-Württemberg", die das Forschungsinstitut WifOR im Auftrag der Bertelsmann Stiftung durchgeführt hat, ermittelt für fünf besonders gefährdete Berufsgattungen (5-Steller in der Klassifikation der Berufe) erfolgversprechende Übergangspfade in jeweils fünf zukunftsträchtige Berufsgattungen. Damit diese Übergänge für die Beschäftigten mit vertretbarem Aufwand umzusetzen sind, wurden auf der Basis von 370.000 Online-Stellenanzeigen anhand der daraus extrahierten Kompetenzen möglichst ähnliche Berufe ausgewählt. Die Analyse wurde durch die Einschätzung von Fachleuten aus der Praxis ergänzt. Die Ergebnisse zeigen, auf welchen vorhandenen Kompetenzen die Beschäftigten aufbauen können und welche zusätzlichen Kenntnisse und Fähigkeiten sie für gelingende Übergänge erwerben müssen. Die Studie ist in enger Kooperation mit der Agentur Q entstanden, der gemeinsamen Einrichtung von Südwestmetall und IG Metall zur Förderung der Weiterbildung in Baden-Württemberg." (Autorenreferat, IAB-Doku)
Weiterführende Informationen
Kurzfassung -
Literaturhinweis
"Soll mir das Angst machen?": Transformationserfahrungen von Beschäftigten in der Automobil- und der Luftverkehrswirtschaft (2023)
Zitatform
Tullius, Knut & Harald Wolf (2023): "Soll mir das Angst machen?". Transformationserfahrungen von Beschäftigten in der Automobil- und der Luftverkehrswirtschaft. In: Arbeits- und industriesoziologische Studien, Jg. 16, H. 1, S. 56-73. DOI:10.21241/ssoar.86827
Abstract
"Der Beitrag diskutiert die Umbruchserfahrungen und Mentalitätsmuster von Beschäftigten in der Automobil- und der Luftverkehrswirtschaft. Beide Branchen stehen exemplarisch für das deutsche Modell exportorientierten Wachstums und relativen Wohlstands sowie damit verbundene Arbeits- und Lebensweisen. Diese scheinen durch jüngere Entwicklungen grundlegend infrage gestellt zu sein, vor allem durch das gesellschaftspolitische Projekt einer "Mobilitätswende". Wie unser Beitrag zeigt, wird "Transformation" als ein von Verunsicherungsnarrativen begleiteter, politik- und managementgetriebener Top-Down-Prozess der fortgesetzten Verschlechterung der Arbeits- und Lebensbedingungen erfahren. Eine um Mobilität, Leistungsstolz, Familie und Absicherung kreisende Mentalität ist mit Transformationserfahrungen konfrontiert, die sich nun vor allem als Verlust, drohender Abstieg und Gefährdung der gewohnten Arbeits- und Lebensweisen darstellen." (Autorenreferat, IAB-Doku)
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Literaturhinweis
Do industrial robots affect the labour market? Evidence from China (2023)
Zitatform
Zhang, Lihua, Tian Gan & Jiachen Fan (2023): Do industrial robots affect the labour market? Evidence from China. In: Economics of Transition and Institutional Change, Jg. 31, H. 3, S. 787-817. DOI:10.1111/ecot.12356
Abstract
"The industrial robot is an essential part of modern manufacturing. Using micro-level data, this study investigates the effects of industrial robots on the labour market in China. The results show that the adoption of industrial robots increases firm-level employment by 31.65%. Using the Bartik method, we construct robot penetration as an instrumental variable of robot adoption to tackle endogenous problems. Our results stand up to a series of robustness checks. Moreover, the effects of robots are mainly owing to the expansion of the output scale, increased productivity, and upgraded products. We also find the skill-biased impact of robots and the spillover effect of industrial robots through production networks." (Author's abstract, IAB-Doku, Published by arrangement with John Wiley & Sons) ((en))
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Literaturhinweis
The labour market impact of robotisation in Europe (2022)
Antón, José-Ignacio ; Klenert, David ; Alaveras, Georgios; Fernández-Macías, Enrique ; Urzì Brancati, Maria Cesira ;Zitatform
Antón, José-Ignacio, David Klenert, Enrique Fernández-Macías, Maria Cesira Urzì Brancati & Georgios Alaveras (2022): The labour market impact of robotisation in Europe. In: European journal of industrial relations, Jg. 28, H. 3, S. 317-339. DOI:10.1177/09596801211070801
Abstract
"This paper explores the impact of robot adoption on European regional labour markets between 1995 and 2015. Specifically, we look at the effect of the usage of industrial robots on jobs and employment structures across European regions. Our estimates suggest that the effect of robots on employment tends to be mostly small and negative during the period 1995–2005 and positive during the period 2005–2015 for the majority of model specifications. Regarding the effects on employment structures, we find some evidence of a mildly polarising effect in the first period, but this finding depends to some extent on the model specifications. In sum, this paper shows that the impact of robots on European labour markets in the last couple of decades has been ambiguous and is not robust. The strength and even the sign of this effect are sensitive to the specifications, as well as to the countries and periods analysed." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Technological unemployment revisited: automation in a search and matching framework (2022)
Zitatform
Cords, Dario & Klaus Prettner (2022): Technological unemployment revisited: automation in a search and matching framework. In: Oxford economic papers, Jg. 74, H. 1, S. 115-135. DOI:10.1093/oep/gpab022
Abstract
"Will automation raise unemployment and what is the role of education in this context? To answer these questions, we propose a search and matching model of the labour market with two skill types and with industrial robots. In line with evidence to date, robots are better substitutes for low-skilled workers than for high-skilled workers. We show that robot adoption leads to rising unemployment and falling wages of low-skilled workers and falling unemployment and rising wages of high-skilled workers. In a calibration to Austrian and German data, we find that robot adoption destroys fewer low-skilled jobs than the number of high-skilled jobs it creates. For Australia and the USA, the reverse holds true. Allowing for endogenous skill acquisition of workers implies positive employment effects of automation in all four countries. Thus, the firm creation mechanism in the search and matching model and skill acquisition are alleviating the adverse effects of automation." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Automation, Job Polarisation, and Structural Change (2022)
Zitatform
Fierro, Luca Eduardo, Alessandro Caiani & Alberto Russo (2022): Automation, Job Polarisation, and Structural Change. In: Journal of Economic Behavior & Organization, Jg. 200, S. 499-535. DOI:10.1016/j.jebo.2022.05.025
Abstract
"The increasing automation of tasks traditionally performed by labour is reshaping the relationship between skills and tasks of workers, unevenly affecting labour demand for low, middle, and high-skill occupations. To investigate the economy-wide response to automation, we designed a multisector Agent-Based Macroeconomic model accounting for workers' heterogeneity in skills and tasks. The model features endogenous skill-biased technical change, and heterogeneous consumption preferences for goods and personal services across workers of different skill types. Following available empirical evidence, we model automation as a manufacturing-specific, productivity-enhancing, and skill-biased technological process. We show how automation can trigger a structural change process from manufactory to personal services, which eventually increases the share of high and low-skilled occupations, while reducing the share of middle-skilled ones. Following the literature, we label this dynamics as job polarisation throughout the paper. Finally, we study how labour market policies can feedback in the model dynamics. In our framework, a minimum wage policy (i) slows down the structural change process, (ii) boosts aggregate productivity, and (iii) accelerates the automation process, strengthening productivity growth within the manufacturing sector." (Author's abstract, IAB-Doku, © 2022 Elsevier) ((en))
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Literaturhinweis
Robots and Unions: The Moderating Effect of Organised Labour on Technological Unemployment (2022)
Zitatform
Haapanala, Henri, Ive Marx & Zachary Parolin (2022): Robots and Unions: The Moderating Effect of Organised Labour on Technological Unemployment. (IZA discussion paper 15080), Bonn, 31 S.
Abstract
"We analyse the moderating effect of trade unions on industrial employment and unemployment in countries facing exposure to industrial robots. Applying random effects within-between regression to a pseudo-panel of observations from 28 advanced democracies over 1998-2019, we find that stronger trade unions in a country are associated with a greater decline in the industry sector employment of young and low-educated workers. We also show that the unemployment rates for low-educated workers remain constant in strongly unionised countries with increasing exposure to robots, whereas in weakly unionised countries, low-educated unemployment declines with robot exposure but from a higher starting point. Our results point to unions exacerbating the insider-outsider effects of technological change within the industrial sector, which however is not fully passed on to unemployment." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
New Evidence on the Effect of Technology on Employment and Skill Demand (2022)
Hirvonen, Johannes; Stenhammar, Aapo; Tuhkuri, Joonas;Zitatform
Hirvonen, Johannes, Aapo Stenhammar & Joonas Tuhkuri (2022): New Evidence on the Effect of Technology on Employment and Skill Demand. (ETLA working papers 93), Helsinki, 133 S.
Abstract
"We present novel evidence on the effects of advanced technologies on employment, skill demand, and firm performance. The main finding is that advanced technologies led to increases in employment and no change in skill composition. Our main research design focuses on a technology subsidy program in Finland that induced sharp increases in technology investment in manufacturing firms. Our data directly measure multiple technologies and skills and track firms and workers over time. We demonstrate novel text analysis and machine learning methods to perform matching and to measure specific technological changes. To explain our findings, we outline a theoretical framework that contrasts two types of technological change: process versus product. We document that firms used new technologies to produce new types of output rather than replace workers with technologies within the same type of production. The results contrast with the ideas that technologies necessarily replace workers or are skill biased." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Productive Robots and Industrial Employment: The Role of National Innovation Systems (2022)
Zitatform
Kapetaniou, Chrystalla & Christopher A. Pissarides (2022): Productive Robots and Industrial Employment: The Role of National Innovation Systems. (IZA discussion paper 15056), Bonn, 55 S.
Abstract
"In a model with robots, and automatable and complementary human tasks, we examine robot-labour substitutions and show how it they are influenced by a country's "innovation system". Substitution depends on demand and production elasticities, and other factors influenced by the innovation system. Making use of World Economic Forum data we estimate the relationship for thirteen countries and find that countries with poor innovation capabilities substitute robots for workers much more than countries with richer innovation capabilities, which generally complement them. In transport equipment and non-manufacturing robots and workers are stronger substitutes than in other manufacturing." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Inclusive Industry 4.0 in Europe—Japanese Lessons on Socially Responsible Industry 4.0 (2022)
Kovacs, Oliver;Zitatform
Kovacs, Oliver (2022): Inclusive Industry 4.0 in Europe—Japanese Lessons on Socially Responsible Industry 4.0. In: Social Sciences, Jg. 11, H. 1. DOI:10.3390/socsci11010029
Abstract
"This contribution addresses the puzzle of whether the anti-inclusive character of Industry 4.0 development can be tailored toward a socially more responsible path (smart automation). In doing so, the paper first underlines the crucial importance of a governance being capable of fostering inclusive growth by deciphering the nexus between flaring populism and non-inclusive growth. It then turns to the case of Japanese digitalization and Industry 4.0 development to show that adding a social innovation-dimension (smart automation) to Industry 4.0 is not impossible in supporting inclusive growth in Europe." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Measuring work and workers: Wearables and digital assistance systems in manufacturing and logistics (2022)
Zitatform
Krzywdzinski, Martin, Sabine Pfeiffer, Maren Evers & Christine Gerber (2022): Measuring work and workers: Wearables and digital assistance systems in manufacturing and logistics. (Wissenschaftszentrum Berlin für Sozialforschung. Discussion papers SP 3 SP III 2022-301), Berlin, 113 S.
Abstract
"The smart glove or smart data glasses: Digitalization of work means that technology is moving closer to the bodies of employees. It can make movements, vital signs and even emotions visible. Technologies which many people use privately to monitor their sporting activities or health opens up a new dimension of control in the workplace, but also the possibility of supporting employees in complex work processes. Based on case studies of companies in manufacturing and logistics as well as a survey of employees, this study provides insights into operational use cases of wearables and the assessments of employees. It reveals contradictory experiences and a high importance of co-determination and co-design of new technologies by employees and works councils as a condition for using new technologies for improving work quality." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Firm-level technological change and skill demand (2022)
Zitatform
Lindner, Attila, Balazs Murakozy, Balázs Reizer & Ragnhild Schreiner (2022): Firm-level technological change and skill demand. (CEP discussion paper 1857), London, 136 S.
Abstract
"We quantify the contribution of firm-level technological change to skill demand and aggregate inequality in the presence of imperfect competition in the labor market. We show that skill-biased technological change increases both the firm-level skill ratio and the skill premium, while other shocks (e.g. firm-specific output demand shocks) cannot explain the increase in both outcomes. We exploit administrative data and a large survey measuring a broad class of firm-level technological changes from Hungary and Norway. We estimate that the aggregate college premium increases by 6.1% in Norway and by 13.8% in Hungary as a result of the skill bias in technological change." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Micro-mechanisms behind declining labor shares: Rising market power and changing modes of production (2022)
Zitatform
Mertens, Matthias (2022): Micro-mechanisms behind declining labor shares: Rising market power and changing modes of production. In: International journal of industrial organization, Jg. 81. DOI:10.1016/j.ijindorg.2021.102808
Abstract
"I derive a micro-founded framework showing how rising firm market power on product and labor markets and falling aggregate labor output elasticities provide three competing explanations for falling labor shares. I apply my framework to 20 years of German manufacturing sector micro data containing firm-specific price information to study these three distinct drivers of declining labor shares. I document a severe increase in firms’ labor market power, whereas firms’ product market power stayed comparably low. Changes in firm market power and a falling aggregate labor output elasticity each account for one half of the decline in labor's share." (Author's abstract, IAB-Doku, © 2023 Elsevier) ((en))
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Literaturhinweis
A Task-Based Theory of Occupations with Multidimensional Heterogeneity (2022)
Ocampo, Sergio;Zitatform
Ocampo, Sergio (2022): A Task-Based Theory of Occupations with Multidimensional Heterogeneity. (Centre for Human Capital and Productivity (CHCP) working paper series 2022-02), London, Ontario, 64 S.
Abstract
"I develop an assignment model of occupations with multidimensional heterogeneity in production tasks and worker skills. Tasks are distributed continuously in the skill space, whereas workers have a discrete distribution with a finite number of types. Occupations arise endogenously as bundles of tasks optimally assigned to a type of worker. The model allows us to study how occupations respond to changes in the economic environment, making it useful for analyzing the implications of automation, skill-biased technical change, offshoring, and worker training. Using the model, I characterize how wages, the marginal product of workers, the substitutability between worker types, and the labor share depend on the assignment of tasks to workers. I introduce automation as the choice of the optimal size and location of a mass of identical robots in the task space. Automation displaces workers by replacing them in the performance of tasks, generating a cascading effect on other workers as the boundaries of occupations are redrawn." (Author's abstract, IAB-Doku) ((en))
Ähnliche Treffer
auch erschienen als: 2019 Meeting Papers, 477 -
Literaturhinweis
Who is leading the digital transformation? Understanding the adoption of digital technologies in Germany (2022)
Zitatform
Ohlert, Clemens, Oliver Giering & Stefan Kirchner (2022): Who is leading the digital transformation? Understanding the adoption of digital technologies in Germany. In: New Technology, Work and Employment, Jg. 37, H. 3, S. 445-468. DOI:10.1111/ntwe.12244
Abstract
"Debates on digitalisation in Germany often refer to ‘Industrie 4.0’ describing a seamless and technology-driven process spearheaded by manufacturing. This view conflicts with sociological arguments, assuming highly differentiated processes of digitalisation. We review the literature and empirically test the core assumption that digital technologies relate to organisational characteristics and that adoption differs according to the type of technology. We analyse German IAB-Establishment-Panel data, which contains organisation-level information, including digital technologies. Our results show a lead of manufacturing in the adoption of digital production technologies. Regarding other digital technologies, manufacturing performs on par or is outperformed by specific service industries. Additionally, the usage of digital technologies relates to organisational characteristics, other than industry (e.g., establishment size, age, competition, employees’ qualification). The relationship patterns largely persist across technologies, with some technology-specific variants. Our empirical results underline the embeddedness of digitalisation processes in Germany and underline the relevance of the technologies in question." (Author's abstract, IAB-Doku) ((en))
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- Gesamtbetrachtungen/Positionen
- Arbeitsformen, Arbeitszeit und Gesundheit
- Qualifikationsanforderungen und Berufe
- Arbeitsplatz- und Beschäftigungseffekte
- Wirtschaftsbereiche
- Arbeits- und sozialrechtliche Aspekte / digitale soziale Sicherung
- Deutschland
- Andere Länder/ internationaler Vergleich
- Besondere Personengruppen