Primer on artificial intelligence and robotics

Journal of Organization Design - Tập 8 Số 1 - 2019
Manav Raj1, Robert Seamans1
1NYU Stern School of Business, 44 West 4th Street, New York, NY, 10012, USA

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Tài liệu tham khảo

Accenture (2018) It’s learning. Just not as we know it. Available at: https://www.accenture.com/us-en/insights/future-workforce/transforming-learning

Acemoglu D, Restrepo P (2018) Robots and jobs: Evidence from US labor markets. NBER Working Paper

Adomavicius G, Tuzhilin A (2005) Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Trans Knowl Data Eng 17(6):734–749

Akerman A, Gaarder I, Mogstad M (2015) The skill complementarity of broadband internet. NBER Working Paper

Angwin J, Larson J, Mattu S, Kirchner L (2016) Machine bias: there’s software used across the country to predict future criminals. And it’s biased against blacks. Propublica

Athey S (2018) The impact of machine learning on economics. In: Agarwal AK, Gans J, Goldfarb A (eds) The economics of artficial intelligence: an agenda. University of Chicago Press

Autor DH, Katz LF, Kearney MS (2006) The polarization of the US labor market. AEA Papers and Proceedings 96(2):189–194

Autor DH, Levy F, Murnane RJ (2003) The skill content of recent technological change: an empirical exploration. Q J Econ 118(4):1279–1333

Autor DH, Salomons A (2018) Is automation labor-displacing? Productivity growth, employment, and the labor share. National Bureau of Economic Research, Cambridge, p w24871

Barach M, Golden JM, Horton JJ (2018b) Steering in online markets: the role of platform incentives and credibility. Working Paper

Barach M, Kaul A, Leung M, Lu S (2018a) Small numbers bargaining in the age of big data: evidence from a two-sided labor matching platform. SSRN Working Paper

Belloni A, Chernozhukov V, Hansen C (2014) High-dimensional methods and inference on structural and treatment effects. J Econ Perspect 28(2):29–50

Bessen JE (2015) How Computer Automation Affects Occupations: Technology, Jobs, and Skills. Boston University School of Law, Law and Economics Working Paper No. 15-49.

Bessen JE, Impink SM, Seamans RC, Reichensperger L (2018) The Business of AI Startups. Boston University School of Law, Law and Economics Research Paper No. 18-28.

Bloom N, Garicano L, Sadun R, Van Reenen J (2014) The distinct effects of information technology and communication technology on firm organization. Manag Sci 60(12):2859–2885

Broussard M (2018) Artificial unintelligence: how computers misunderstand the world. MIT Press, Cambridge

Brynjolfsson E, Hui X, Lu M (2018a) Does machine translation affect international trade? Evidence from a large digital platform. National Bureau of Economic Research Working Paper (No. w24917)

Brynjolfsson E, McAfee A (2017) The Business of Artificial Intelligence. Harvard Business Review, July 2017.

Brynjolfsson E, Mitchell T, Rock D (2018b) What can machines learn, and what does it mean for occupations and the economy? AEA Papers and Proceedings 108:43–47

Brzeski, C, Burk, I (2015) Die Roboter Kommen. ING DiBa Report

Cattani G (2006) Technological pre-adaptation, speciation, and emergence of new technologies: how corning invented and developed Fiber optics. Ind Corp Chang 15(2):285–318

Choudhury P, Allen R, Endres M (2019) Developing theory using machine learning models. SSRN Working Paper

Choudhury P, Starr E, Agarwal R (2018) Machine learning and human capital: experimental evidence on productivity complementarities. SSRN Working Paper

Coase RH (1937) The nature of the firm. Economica 4(16):386

Cockburn I, Henderson R, Stern S (2018) The impact of artificial intelligence on innovation. NBER Working Paper

Cowgill B (2019) Bias and productivity in humans and machines. Columbia Business School Working Paper

Crafts N (2004) Globalisation and economic growth: a historical perspective. World Econ 27(1):45–58

Datta A, Tschantz MC, Datta A (2015) Automated experiments on ad privacy settings. Proceedings on Privacy Enhancing Technologies 2015(1):92–112

Dauth W, Findeisen S, Suedekum J, Woessner N (2017) German robots – the impact of industrial robots on workers. IAB Discussion Paper

Feldman MP, Kogler DF (2010) Stylized facts in the geography of innovation. Handbook of the Economics of Innovation 1(1 C):381–410

Felten EW, Raj M, Seamans RC (2018) A Method to Link Advances in Artificial Intelligence to Occupational Abilities. AEA Papers and Proceedings 108:54–57

Feng FS (2019) The proximity of ideas: an analysis of patent text using machine learning. NYU Stern Working Paper

Frey CB, Osborne MA (2017) The future of employment: how susceptible are jobs to computerisation? Technol Forecast Soc Chang 114(January):254–280

Furman J, Seamans RC (2019) AI and the Economy. Innovation Policy and the Economy 19:161–191

Furman J, Teodoridis F (2018) The cost of research tools and the direction of innovation: evidence from computer science and electrical engineering. SSRN Working Paper

Gilson LL, Maynard MT, Jones Young NC, Vartiainen M, Hakonen M (2015) Virtual teams research: 10 years, 10 themes, and 10 opportunities. J Manag 41(5):1313–1337

Goldfarb A, Trefler D (2018) AI and international trade. NBER Working Paper

Goolsbee A (2018) Public policy in an AI economy. National Bureau of Economic Research, Cambridge, p w24653

Graetz G, Michaels G (2018) Robots at work. Rev Econ Stat. 100(5):753–768

Guzman J (2019) Go west young firm: agglomeration and embeddedness in startup migrations to Silicon Valley. SSRN Working Paper

Henderson RM, Clark KB (1990) Architectural innovation: the reconfiguration of existing product technologies and the failure of established firms. Adm Sci Q 35(1):9–30

Hoffman M, Kahn LB, Li D (2017) Discretion in hiring. Q J Econ 133(2):765–800

Jarvenpaa SL, Leidner DE (1999) Communication and trust in global virtual teams. Organ Sci 10(6):791–815

Kaplan S, Vakili K (2014) The double-edged sword of recombination in breakthrough innovation. Strateg Manag J 36(10):1435–1457

Katila R, Ahuja G (2002) Something old, something new: a longitudinal study of search behavior and new product introduction. Acad Manag J 45(6):1183–1194

Kirkman BL, Mathieu JE (2005) The dimensions and antecedents of team virtuality. J Manag 31(5):700–718

Kleinberg J, Lakkaraju H, Leskovec J, Ludwig J, Mullainathan S (2018) Human decisions and machine predictions. Q J Econ 133(1):237–293

Klepper S (2002) Firm survival and the evolution of oligopoly. RAND J Econ 33(1):37–61

Lambrecht A, Tucker CE (2018) Algorithmic Bias? An empirical study into apparent gender-based discrimination in the display of STEM career ads. SSRN Working Paper

Mandel M (2017) How ecommerce creates jobs and reduces income inequality. Progressive Policy Institute

McElheran K (2019) Economic measurement of AI. NBER Working Paper

McKinsey Global Institute (MGI). 2017. “A future that works: automation, employment, and productivity.” Available at: https://www.mckinsey.com/~/media/mckinsey/featured%20insights/Digital%20Disruption/Harnessing%20automation%20for%20a%20future%20that%20works/MGI-A-future-that-works-Executive-summary.ashx

Menon A, Choi J, Tabakovic H (2018) What you say your strategy is and why it matters: natural language processing of unstructured text. Acad Manag Proc 2018(1)

Mokyr J, Vickers C, Ziebarth NL (2015) The history of technological anxiety and the future of economic growth: is this time different? J Econ Perspect 29(3):31–50

Mullainathan S, Spiess J (2017) Machine learning: an applied econometric approach. J Econ Perspect 31(2):87–106

Pajarinen M, Rouvinen P (2014) Computerization threatens one third of Finnish employment. ETLA Brief from The Research Institute of the Finnish Eocnomy

Powell TC, Dent-Micallef A (1999) Information technology as competitive advantage: the role of human, business, and technology resources. Strateg Manag J 18(5):375–405

Raj M, Seamans RC (2018) AI, Labor, Productivity, and the Need for Firm-Level Data. In: Agrawal A, Gans JS, Goldfarb A (eds) NBER Economics of Artificial Intelligence. University of Chicago Press, Chicago

Romer PM (1990) Endogenous technological change. J Polit Econ 98(5):S71–S102

Roy R, Islam M (2017) Nuanced role of relevant prior experience: sales takeoff of disruptive products and product innovation with disrupted technology in industrial robotics. In: Furman J, Gawer A, Silverman BS, Stern S (eds) Advances in strategic management, vol 37. Emerald Publishing Limited, pp 81–111

Roy R, Sarkar MB (2016) Knowledge, firm boundaries, and innovation: mitigating the Incumbent’s curse during radical technological change: mitigating Incumbent’s curse during radical discontinuity. Strateg Manag J 37(5):835–854

Solow RM (1957) Technical change and the aggregate production function. Rev Econ Stat 39(3):312–320

Tushman ML, Anderson P (1986) Technological discontinuities and organizational environments. Adm Sci Q 31(3):439–465

Williamson OE (1985) The economic institutions of capitalism. Macmillan, New York