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  1. Helping Small Businesses become more Data-Driven
    A Field Experiment on eBay
    Autor*in: Bar-Gill, Sagit; Brynjolfsson, Erik; Hak, Nir
    Erschienen: March 2023
    Verlag:  National Bureau of Economic Research, Cambridge, Mass

    As more and more activities in the economy become digitized, analytics and data-driven decision-making (DDD) are becoming increasingly important. The adoption of analytics and DDD has been slower in small-to-medium enterprises (SMEs) compared to... mehr

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    Sächsische Landesbibliothek - Staats- und Universitätsbibliothek Dresden
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    Standort:
    Universitätsbibliothek Freiburg
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    Standort:
    Helmut-Schmidt-Universität, Universität der Bundeswehr Hamburg, Universitätsbibliothek
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    Standort:
    Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky
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    Standort:
    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    As more and more activities in the economy become digitized, analytics and data-driven decision-making (DDD) are becoming increasingly important. The adoption of analytics and DDD has been slower in small-to-medium enterprises (SMEs) compared to large firms, and reliable causal estimates of the impacts of analytics tools for small businesses have been lacking. We derive experiment-based estimates of the effect of an analytics tool on SME outcomes, analyzing the randomized introduction of eBay's Seller Hub (SH), a data-rich seller dashboard. We find that SH adoption is associated with increased DDD, and that access to SH increases e-retailers' revenues by 3.6% on average, as more items are transacted and service quality increases, without increases in average prices. Our results suggest that analytics and DDD help SMEs establish a competitive advantage. Managerial practices play an important role in reaping the benefits from the analytics dashboard, as over a third of the SH impact is driven by active performance monitoring. This suggests that digital platforms could increase revenues by supporting the adoption of analytics tools by SMEs. Furthermore, policies supporting small businesses' transition to the data era could address gaps in analytics and data-driven decision-making (DDD) by providing access to tools such as SH, as well as offering appropriate managerial training

     
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Schriftenreihe: NBER working paper series ; no. w31089
    Schlagworte: Data Analytics; KMU; Digitale Dienste; Digitale Plattform; Online-Marketing; IT-Management; Market Structure, Firm Strategy, and Market Performance; Information and Internet Services; Computer Software; IT Management; Marketing and Advertising; Innovation; Research and Development; Technological Change; Intellectual Property Rights; General
    Umfang: 1 Online-Ressource, illustrations (black and white)
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    Hardcopy version available to institutional subscribers
  2. The Potential Impact of Artificial Intelligence on Healthcare Spending
    Autor*in: Sahni, Nikhil; Stein, George; Zemmel, Rodney; Cutler, David M.
    Erschienen: January 2023
    Verlag:  National Bureau of Economic Research, Cambridge, Mass

    The potential of artificial intelligence (AI) to simplify existing healthcare processes and create new, more efficient ones is a major topic of discussion in the industry. Yet healthcare lags other industries in AI adoption. In this paper, we... mehr

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    Sächsische Landesbibliothek - Staats- und Universitätsbibliothek Dresden
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    keine Fernleihe

    Standort:
    Universitätsbibliothek Freiburg
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    keine Fernleihe

    Standort:
    Helmut-Schmidt-Universität, Universität der Bundeswehr Hamburg, Universitätsbibliothek
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    keine Fernleihe

    Standort:
    Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky
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    keine Fernleihe

    Standort:
    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
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    keine Fernleihe

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    keine Fernleihe

     

    The potential of artificial intelligence (AI) to simplify existing healthcare processes and create new, more efficient ones is a major topic of discussion in the industry. Yet healthcare lags other industries in AI adoption. In this paper, we estimate that wider adoption of AI could lead to savings of 5 to 10 percent in US healthcare spending--roughly $200 billion to $360 billion annually in 2019 dollars. These estimates are based on specific AI-enabled use cases that employ today's technologies, are attainable within the next five years, and would not sacrifice quality or access. These opportunities could also lead to non-financial benefits such as improved healthcare quality, increased access, better patient experience, and greater clinician satisfaction. We further present case studies and discuss how to overcome the challenges to AI deployments. We conclude with a review of recent market trends that may shift the AI adoption trajectory toward a more rapid pace

     
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Schriftenreihe: NBER working paper series ; no. w30857
    Schlagworte: Künstliche Intelligenz; Gesundheitswesen; Gesundheitskosten; USA; General; Firm Objectives, Organization, and Behavior; IT Management
    Umfang: 1 Online-Ressource, illustrations (black and white)
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    Hardcopy version available to institutional subscribers
  3. Generative AI at Work
    Autor*in: Brynjolfsson, Erik; Li, Danielle; Raymond, Lindsey R.
    Erschienen: April 2023
    Verlag:  National Bureau of Economic Research, Cambridge, Mass

    We study the staggered introduction of a generative AI-based conversational assistant using data from 5,179 customer support agents. Access to the tool increases productivity, as measured by issues resolved per hour, by 14 percent on average, with... mehr

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    Sächsische Landesbibliothek - Staats- und Universitätsbibliothek Dresden
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    keine Fernleihe

    Standort:
    Universitätsbibliothek Freiburg
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    keine Fernleihe

    Standort:
    Helmut-Schmidt-Universität, Universität der Bundeswehr Hamburg, Universitätsbibliothek
    Fernleihe:
    keine Fernleihe

    Standort:
    Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky
    Fernleihe:
    keine Fernleihe

    Standort:
    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
    Fernleihe:
    keine Fernleihe

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Fernleihe:
    keine Fernleihe

     

    We study the staggered introduction of a generative AI-based conversational assistant using data from 5,179 customer support agents. Access to the tool increases productivity, as measured by issues resolved per hour, by 14 percent on average, with the greatest impact on novice and low-skilled workers, and minimal impact on experienced and highly skilled workers. We provide suggestive evidence that the AI model disseminates the potentially tacit knowledge of more able workers and helps newer workers move down the experience curve. In addition, we show that AI assistance improves customer sentiment, reduces requests for managerial intervention, and improves employee retention

     
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Schriftenreihe: NBER working paper series ; no. w31161
    Schlagworte: Kundenservice; Künstliche Intelligenz; Computerunterstützte Kommunikation; Arbeitsproduktivität; Arbeitskräfte; Informationsverbreitung; Qualifikation; Information, Knowledge, and Uncertainty; Human Capital; Skills; Occupational Choice; Labor Productivity; IT Management; Firm Employment Decisions; Promotions; Technological Change: Choices and Consequences; Diffusion Processes
    Umfang: 1 Online-Ressource, illustrations (black and white)
    Bemerkung(en):

    Hardcopy version available to institutional subscribers
  4. How Many Americans Work Remotely?
    A Survey of Surveys and Their Measurement Issues
    Autor*in: Brynjolfsson, Erik; Horton, John J.; Makridis, Christos A.; Mas, Alexandre; Ozimek, Adam; Rock, Daniel; TuYe, Hong-yi
    Erschienen: April 2023
    Verlag:  National Bureau of Economic Research, Cambridge, Mass

    Remote work surged during the Covid pandemic but there is disagreement about the extent of the change. To address this question, we field a new, nationally-representative survey: the Remote Life Survey (RLS). We find that in October 2020, 31.6... mehr

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    Sächsische Landesbibliothek - Staats- und Universitätsbibliothek Dresden
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    Standort:
    Universitätsbibliothek Freiburg
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    keine Fernleihe

    Standort:
    Helmut-Schmidt-Universität, Universität der Bundeswehr Hamburg, Universitätsbibliothek
    Fernleihe:
    keine Fernleihe

    Standort:
    Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky
    Fernleihe:
    keine Fernleihe

    Standort:
    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
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    keine Fernleihe

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    keine Fernleihe

     

    Remote work surged during the Covid pandemic but there is disagreement about the extent of the change. To address this question, we field a new, nationally-representative survey: the Remote Life Survey (RLS). We find that in October 2020, 31.6 percent of the continuously employed workforce always worked from home (WFH) and 21.9 percent sometimes or rarely WFH, totaling 53.5 percent. We compare our results with alternative measurement approaches, with a focus on government surveys, and provide estimates on the impact of four factors: (a) differences among mail versus web-based survey respondents, (b) differences in the inclusion of self-employed workers, (c) the industry mix of the sample, and (d) the exclusion of people who were already remote pre-pandemic. We find that the last explanation (d) explains the bulk of the difference in estimates between the Current Population Survey (CPS) and other measures of remote work, with the CPS underestimating the remote work rate by up to 28 percentage points. Under our preferred estimates, we find that about half of the U.S. workforce worked remotely at least one day each week as of December 2020

     
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    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Schriftenreihe: NBER working paper series ; no. w31193
    Schlagworte: Telearbeit; Arbeitskräfte; Messung; Erhebungstechnik; Methodologie; USA; Health and Economic Development; Labor Force and Employment, Size, and Structure; Organization of Production; IT Management; Personnel Economics
    Umfang: 1 Online-Ressource, illustrations (black and white)
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    Hardcopy version available to institutional subscribers
  5. AI Adoption in America
    Who, What, and Where
    Autor*in: McElheran, Kristina; Li, J. Frank; Brynjolfsson, Erik; Kroff, Zachary; Dinlersoz, Emin Murat; Foster, Lucia; Zolas, Nikolas
    Erschienen: October 2023
    Verlag:  National Bureau of Economic Research, Cambridge, Mass

    We study the early adoption and diffusion of five AI-related technologies (automated-guided vehicles, machine learning, machine vision, natural language processing, and voice recognition) as documented in the 2018 Annual Business Survey of 850,000... mehr

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    Sächsische Landesbibliothek - Staats- und Universitätsbibliothek Dresden
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    Standort:
    Universitätsbibliothek Freiburg
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    Standort:
    Helmut-Schmidt-Universität, Universität der Bundeswehr Hamburg, Universitätsbibliothek
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    keine Fernleihe

    Standort:
    Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky
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    Standort:
    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
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    keine Fernleihe

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    keine Fernleihe

     

    We study the early adoption and diffusion of five AI-related technologies (automated-guided vehicles, machine learning, machine vision, natural language processing, and voice recognition) as documented in the 2018 Annual Business Survey of 850,000 firms across the United States. We find that fewer than 6% of firms used any of the AI-related technologies we measure, though most very large firms reported at least some AI use. Weighted by employment, average adoption was just over 18%. AI use in production, while varying considerably by industry, nevertheless was found in every sector of the economy and clustered with emerging technologies such as cloud computing and robotics. Among dynamic young firms, AI use was highest alongside more-educated, more-experienced, and younger owners, including owners motivated by bringing new ideas to market or helping the community. AI adoption was also more common alongside indicators of high-growth entrepreneurship, including venture capital funding, recent product and process innovation, and growth-oriented business strategies. Early adoption was far from evenly distributed: a handful of "superstar" cities and emerging hubs led startups' adoption of AI. These patterns of early AI use foreshadow economic and social impacts far beyond this limited initial diffusion, with the possibility of a growing "AI divide" if early patterns persist

     
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Schriftenreihe: NBER working paper series ; no. w31788
    Schlagworte: Künstliche Intelligenz; Technischer Fortschritt; Innovationsakzeptanz; USA; IT Management; Innovation; Research and Development; Technological Change; Intellectual Property Rights
    Umfang: 1 Online-Ressource, illustrations (black and white)
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    Hardcopy version available to institutional subscribers
  6. The Power of Proximity to Coworkers
    Training for Tomorrow or Productivity Today?
    Autor*in: Emanuel, Natalia; Harrington, Emma; Pallais, Amanda
    Erschienen: November 2023
    Verlag:  National Bureau of Economic Research, Cambridge, Mass

    Amidst the rise of remote work, we ask: what are the effects of proximity to coworkers? We find being near coworkers has tradeoffs: proximity increases long-run human capital development at the expense of short-term output. We study software... mehr

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    Sächsische Landesbibliothek - Staats- und Universitätsbibliothek Dresden
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    keine Fernleihe

    Standort:
    Universitätsbibliothek Freiburg
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    keine Fernleihe

    Standort:
    Helmut-Schmidt-Universität, Universität der Bundeswehr Hamburg, Universitätsbibliothek
    Fernleihe:
    keine Fernleihe

    Standort:
    Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky
    Fernleihe:
    keine Fernleihe

    Standort:
    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
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    keine Fernleihe

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    keine Fernleihe

     

    Amidst the rise of remote work, we ask: what are the effects of proximity to coworkers? We find being near coworkers has tradeoffs: proximity increases long-run human capital development at the expense of short-term output. We study software engineers at a Fortune 500 firm, whose main campus has two buildings several blocks apart. When offices were open, engineers working in the same building as all their teammates received 22 percent more online feedback than engineers with distant teammates. After offices closed for COVID-19, this advantage largely disappears. Yet sitting together reduces engineers' programming output, particularly for senior engineers. The tradeoffs from proximity are more acute for women, who both do more mentoring and receive more mentorship when near their coworkers. Proximity impacts career trajectories, dampening short-run pay raises but boosting them in the long run. These results can help to explain national trends: workers in their twenties who often need mentorship and workers over forty who often provide mentorship are more likely to return to the office. However, even if most mentors and mentees go into the office, remote work may reduce interaction: pre-COVID, having just one distant teammate reduced feedback among co-located workers

     
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