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  1. Future Work : Die Arbeit von übermorgen. 15 Kurzgeschichten aus der Zukunft
    Autor*in: Schneider, Ralf, H.; Schmeink, Lars
    Erschienen: 2021

  2. Creative crowdwork arrangements
    Autor*in: Gol, Elham Shafiei
    Erschienen: 2021
    Verlag:  Copenhagen Business School, Frederiksberg, Danmark

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    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Dissertation
    Format: Online
    ISBN: 9788793956919
    Auflage/Ausgabe: 1st edition
    Schriftenreihe: PhD series / Copenhagen Business School ; 2021, 07
    Schlagworte: Crowdwork; Absorptive Capacity; Routinization; Open Innovation; Future of Work
    Umfang: 1 Online-Ressource (circa 264 Seiten), Illustrationen
    Bemerkung(en):

    Dissertation, Copenhagen Business School, 2021
  3. Is flat for everyone?
    evidence from a field experiment of structural decentralization
    Autor*in: Lee, Michael Y.; Green, Paul
    Erschienen: [2022]
    Verlag:  INSEAD, [Fontainebleau]

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Schriftenreihe: Array ; 2022, 19
    Schlagworte: Decentralization; Hierarchy; Organization Design; Future of Work; Employee Engagement;Employee Well-being; Field Experiments
    Umfang: 1 Online-Ressource (circa 46 Seiten), Illustrationen
  4. Business model innovation for ambulance systems in developing countries
    "coordination and competition" is flat for everyone? : investigating who thrives and who struggles in decentralized structures
    Autor*in: Lee, Michael Y.; Green, Paul
    Erschienen: [2022]
    Verlag:  INSEAD, [Fontainebleau]

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Auflage/Ausgabe: Revised version of 2022/19/OBH
    Schriftenreihe: Array ; 2022, 44
    Schlagworte: Decentralization; Hierarchy; Organization Design; Future of Work; Employee Engagement; Employee Well-being; Field Experiments
    Umfang: 1 Online-Ressource (circa 41 Seiten), Illustrationen
  5. The empirics of technology, employment and occupations
    lessons learned and challenges ahead
    Autor*in: Montobbio, Fabio; Staccioli, Jacopo; Virgillito, Maria Enrica; Vivarelli, Marco
    Erschienen: 2022
    Verlag:  Global Labor Organization (GLO), Essen

    What have we learned, from the most recent years of debate and analysis, of the future of work being threatened by technology? This paper presents a critical review of the empirical literature and outlines both lessons learned and challenges ahead.... mehr

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    What have we learned, from the most recent years of debate and analysis, of the future of work being threatened by technology? This paper presents a critical review of the empirical literature and outlines both lessons learned and challenges ahead. Far from being fully exhaustive, the review intends to highlight common findings and main differences across economic studies. According to our reading of the literature, a few challenges-and also the common factors affecting heterogeneous outcomes across studies-still stand, including (i) the variable used as a proxy for technology, (ii) the level of aggregation of the analyses, (iii) the deep heterogeneity of different types of technologies and their adopted mix, (iv) the structural differences across adopters, and (v) the actual combination of the organisational practices in place at the establishment level in affecting net job creation/destruction and work reorganisation.

     
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    Sprache: Englisch
    Medientyp: Buch (Monographie)
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    Weitere Identifier:
    hdl: 10419/266429
    Schriftenreihe: GLO discussion paper ; no. 1202
    Schlagworte: Technology; Employment; Skills; Occupations; Tasks; Future of Work
    Umfang: 1 Online-Ressource (circa 32 Seiten)
  6. Digital skills for all?
    from computer literacy to AI skills in online job advertisements
    Autor*in: Sostero, Matteo; Tolan, Songül
    Erschienen: 2022
    Verlag:  European Commission, Seville

    The digital transition of the economy is widely expected to change the nature of work. This may happen both through creating new digital job profiles, and by digitising existing jobs. As these changes unfold, new digital skills may be needed at the... mehr

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    The digital transition of the economy is widely expected to change the nature of work. This may happen both through creating new digital job profiles, and by digitising existing jobs. As these changes unfold, new digital skills may be needed at the workplace. We track the trends in demand for digital skills across occupations, using data from over 60 million online job advertisements in the United Kingdom over 2012-2020, the longest-running dataset of this type in Europe. Although online job advertisements tend to understate the prevalence of basic digital skills (like computer literacy or office software) compared to representative surveys, they are particularly precise in tracking skills related to emerging digital technologies. We classify over 13,000 different skills required by employers in the data into clusters, through a community-detection algorithm based on the co-occurrence of skills in job advertisements. Among the many different clusters that emerge, we identify several that relate to advanced digital skills in emerging domains, including Artificial Intelligence (AI). These advanced digital skills, despite forming distinct clusters, are evolving and slowly becoming more interconnected with the rest. We also find that digital skills are at the core of some "non-digital" domains, like the administrative and clerical cluster. Advanced digital skills also pay a notable wage premium: skills in the AI & Big Data cluster are associated with about 10.8% higher offered wages, compared to similar advertisements. For skills in the Advanced ICT cluster, the wage premium is about 15.9% and for ICT Support the premium is about 6.3%. Overall, online job advertisements provide a unique view into the emergence of distinct skill profiles, which can ultimately result in new occupations.

     
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    Sprache: Englisch
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    Weitere Identifier:
    hdl: 10419/266550
    Schriftenreihe: JRC working papers series on labour, education and technology ; 2022, 07
    JRC technical report
    Schlagworte: Digital Transformation; Future of Work; Digital Skills; Artificial Intelligence
    Umfang: 1 Online-Ressource (circa 49 Seiten), Illustrationen
  7. The empirics of technology, employment and occupations
    lessons learned and challenges ahead
    Autor*in: Montobbio, Fabio; Staccioli, Jacopo; Virgillito, Maria Enrica; Vivarelli, Marco
    Erschienen: [2022]
    Verlag:  LEM, Laboratory of Economics and Management, Institute of Economics, Scuola Superiore Sant'Anna, Pisa, Italy

    What have we learned, from the most recent years of debate and analysis, of the future of work being threatened by technology? This paper presents a critical review of the empirical literature and outlines both lessons learned and challenges ahead.... mehr

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    Verlag (kostenfrei)
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    Resolving-System (kostenfrei)

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 203
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    What have we learned, from the most recent years of debate and analysis, of the future of work being threatened by technology? This paper presents a critical review of the empirical literature and outlines both lessons learned and challenges ahead. Far from being fully exhaustive, the review intends to highlight common findings and main differences across economic studies. According to our reading of the literature, a few challenges - and also the common factors affecting heterogeneous outcomes across studies - still stand, including (i) the variable used as a proxy for technology, (ii) the level of aggregation of the analyses, (iii) the deep heterogeneity of different types of technologies and their adopted mix, (iv) the structural differences across adopters, and (v) the actual combination of the organisational practices in place at the establishment level in affecting net job creation/destruction and work reorganisation.

     
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    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/273637
    Schriftenreihe: LEM working paper series ; 2022, 35 (November 2022)
    Schlagworte: Technology; Employment; Skills; Occupations; Tasks; Future of Work
    Umfang: 1 Online-Ressource (circa 32 Seiten)
  8. The empirics of technology, employment and occupations
    lessons learned and challenges ahead
    Autor*in: Montobbio, Fabio; Staccioli, Jacopo; Virgillito, Maria Enrica; Vivarelli, Marco
    Erschienen: 17 November 2022
    Verlag:  Maastricht Economic and Social Research Institute on Innovation and Technology (UNU-MERIT), Maastricht, The Netherlands

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    Format: Online
    Schriftenreihe: Working paper series / United Nations University, UNU-MERIT ; #2022, 037
    Schlagworte: Technology; Employment; Skills; Occupations; Tasks; Future of Work
    Umfang: 1 Online-Ressource (circa 36 Seiten), Illustrationen
  9. Artificial intelligence and workers' well-being
    Autor*in: Giuntella, Osea; König, Johannes; Stella, Luca
    Erschienen: [2023]
    Verlag:  German Socio-Economic Panel (SOEP), DIW Berlin, Berlin, Germany

    This study explores the relationship between artificial intelligence (AI) and workers’ well-being and mental health using longitudinal survey data from Germany (2000-2020). We construct a measure of individual exposure to AI technology based on the... mehr

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    DS 318
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    This study explores the relationship between artificial intelligence (AI) and workers’ well-being and mental health using longitudinal survey data from Germany (2000-2020). We construct a measure of individual exposure to AI technology based on the occupation in which workers in our sample were first employed and explore an event study design and a difference-in-differences approach to compare AI-exposed and non-exposed workers. Before AI became widely available, there is no evidence of differential pre-trends in workers’ well-being and concerns about their economic futures. Since 2015, however, with the increasing adoption of AI in firms across Germany, we find that AI-exposed workers have become less satisfied with their life and job and more concerned about job security and their personal economic situation. However, we find no evidence of a significant impact of AI on workers’ mental health, anxiety, or depression.

     
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    Sprache: Englisch
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    Weitere Identifier:
    hdl: 10419/279404
    Schriftenreihe: SOEPpapers on multidisciplinary panel data research ; 1194 (2023)
    Schlagworte: Artificial Intelligence; Future of Work; Well-being; Mental Health
    Umfang: 1 Online-Ressource (circa 45 Seiten), Illustrationen
  10. Kommunikation neu gedacht
    eine integrale Lernreise zu mehr Flow für Führungskräfte und Unternehmen
    Autor*in: Hübner, Hartmut; Grütter, Donatus; Oser, Diana; Thiele, Frank
    Erschienen: Oktober 2021
    Verlag:  Haufe Group, Freiburg

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    Universitätsbibliothek Bielefeld
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    Hochschule Hamm-Lippstadt, Bibliothek Lippstadt
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    Hochschule für Wirtschaft und Gesellschaft Ludwigshafen, Bibliothek
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    Hochschul- und Kreisbibliothek Bonn-Rhein-Sieg
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    Hochschule Worms, Hochschulbibliothek
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  11. Skills or a degree?
    the rise of skills-based hiring for AI and green jobs
    Autor*in: Ehlinger, Eugenia Gonzalez; Stephany, Fabian
    Erschienen: [2023]
    Verlag:  Bruegel, Brussels

    For emerging professions, such as jobs in the fi eld of artifi cial intelligence (AI) or sustainability (green), labour supply does not meet industry demand. In this scenario of labour shortages, our work aims to understand whether employers have... mehr

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    For emerging professions, such as jobs in the fi eld of artifi cial intelligence (AI) or sustainability (green), labour supply does not meet industry demand. In this scenario of labour shortages, our work aims to understand whether employers have started focusing on individual skills rather than on formal qualifi cations in their recruiting. By analysing a large time series dataset of around one million online job vacancies between 2019 and 2022 from the United Kingdom, and drawing on diverse literature on technological change and labour market signalling, we provide evidence that employers have started so-called 'skill-based hiring' for AI and green roles, as more fl exible hiring practices allow them to increase the available talent pool. In our observation period the demand for AI roles grew twice as much as average labour demand. At the same time, the mention of university education for AI roles declined by 23 percent, while AI roles advertise fi ve times as many skills as job postings on average. Our regression analysis also shows that university degrees no longer show an educational premium for AI roles, while for green positions the educational premium persists. In contrast, AI skills have a wage premium of 16 percent, similar to having a PhD (17 percent). Our work recommends making use of alternative skill building formats such as apprenticeships, on-the-job training, MOOCs (massive open online courses), vocational education and training, micro-certifi cates and online bootcamps to use human capital to its full potential and to tackle talent shortages.

     
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    Sprache: Englisch
    Medientyp: Buch (Monographie)
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    Schriftenreihe: Bruegel working paper ; 2023, issue 20
    Schlagworte: Future of Work; Labour Markets; Skills; Education; AI; Sustainability
    Umfang: 1 Online-Ressource (circa 35 Seiten), Illustrationen