Agrawal, A., Gans, J., & Goldfarb, A. (2018). Prediction machines: The simple economics of artificial intelligence. Harvard Business Press.
Aksnes, D. W., & Sivertsen, G. (2019). A criteria-based assessment of the coverage of Scopus and Web of Science. Journal of Data and Information Science, 4(1), 1–24.
Article
Google Scholar
Amir, R., & Knauff, M. (2008). Ranking economics departments worldwide on the basis of PhD placement. Review of Economics and Statistics, 90(1), 185–190.
Article
Google Scholar
Bastani, A. (2019). Fully automated luxury communism. Verso.
Google Scholar
Bickley, S. J., Chan, H. F., Schmidt, S. L., & Torgler, B. (2021a). Quantum-sapiens: The quantum bases for human expertise, knowledge, and problem-solving. Technology Analysis & Strategic Management. https://doi.org/10.1080/09537325.2021.1921137
Article
Google Scholar
Bickley, S.J., Macintyre, A., & Torgler, B. (2021b). artificial intelligence and big data in sustainable entrepreneurship. CREMA Working Paper Series (no. 2021b-11), Centre for Research in Economics, Management, and the Arts (CREMA), Switzerland.
Bickley, S.J., & Torgler, B. (2021a). Behavioural economics, what have we missed? Exploring" classical" behavioural economics roots in AI, cognitive psychology, and complexity theory. CREMA Working Paper Series (no. 2021a–21), Centre for Economics, Management and the Arts (CREMA), Switzerland. Forthcoming in: Handbook of Economic Research Methods and Applications: Behavioural Economics, Cheltenham, UK: Edward Elgar Publishing.
Bickley, S.J., & Torgler, B. (2021b). Cognitive architectures for artificial intelligence ethics. CREMA Working Paper Series (no. 2021b–27), Centre for Research in Economics, Management, and the Arts (CREMA), Switzerland.
Billeter-Frey, E. P. (1996). Cybernetics and economics. Kybernetes, 25(7/8), 130–134.
MATH
Article
Google Scholar
Boden, M. A. (1998). Creativity and artificial intelligence. Artificial Intelligence, 103(1–2), 347–356.
MathSciNet
MATH
Article
Google Scholar
Bolton, G. E., & Ockenfels, A. (2012). Behavioral economic engineering. Journal of Economic Psychology, 33(3), 665–676.
Article
Google Scholar
Boulding, K. E. (1970). Economics as a Science. McGraw-Hill.
Google Scholar
Calvano, E., Calzolari, G., Denicolò, V., Harrington, J. E., & Pastorello, S. (2020). Protecting consumers from collusive prices due to AI. Science, 370(6520), 1040–1042.
Article
Google Scholar
Campedelli, G. M. (2020). Where are we? Using Scopus to map the literature at the intersection between artificial intelligence and research on crime. Journal of Computational Social Science. https://doi.org/10.1007/s42001-020-00082-9
Article
Google Scholar
Chan, H. F., Frey, B. S., Skali, A., & Torgler, B. (2019). Political entrenchment and GDP misreporting. CREMA Working Paper 2019–03, Zurich.
Cochrane, J. L., & Graham, J. A. (1976). Cybernetics and macroeconomics. Economic Inquiry, 14(2), 241–250.
Article
Google Scholar
Cockburn, I. M., Henderson, R., & Stern, S. (2019). The Impact of Artificial Intelligence on Innovation, in: Agrawal, A., Gans, J. & Goldfarb (Eds.), The Economics of Artificial Intelligence: An Agenda. University of Chicago Press, pp. 115–146.
Colton, S., & Wiggins, G. A. (2012). Computational creativity: The final frontier? ECAI, 12, 21–26.
Google Scholar
Coveney, P. V., Dougherty, E. R., & Highfield, R. R. (2016). Big data need big theory too. Philosophical Transactions of the Royal Society a: Mathematical, Physical and Engineering Sciences, 374(2080), 20160153.
Article
Google Scholar
Dauvergne, P. (2020). AI in the Wild: Sustainability in the Age of Artificial Intelligence. MIT Press.
Dhamija, P., & Bag, S. (2020). Role of artificial intelligence in operations environment: A review and bibliometric analysis. The TQM Journal, 32(4), 869–896.
Article
Google Scholar
Dreyfus, H. L. (1965). Alchemy and Artificial Intelligence. P-3244, Rand Corporation.
Duarte, P. G., & Giraud, Y. (2020). IntroductionFrom “Economics as Engineering” to “Economics and Engineering.” History of Political Economy, 52(S1), 10–27.
Article
Google Scholar
Duflo, E. (2017). The economist as plumber. American Economic Review, 107(5), 1–26.
Article
Google Scholar
Du Sautoy, M. (2019). The creativity code. Harvard University Press.
Google Scholar
Dyer-Witheford, N., Kjosen, A., & Steinhoff, J. (2019). Inhuman power: Artificial intelligence and the future of capitalism. Pluto.
Else. (2018). How I scraped data from Google Scholar. Nature (london). https://doi.org/10.1038/d41586-018-04190-5
Article
Google Scholar
Falagas, M. E., Pitsouni, E. I., Malietzis, G. A., & Pappas, G. (2008). Comparison of PubMed, Scopus, web of science, and Google scholar: Strengths and weaknesses. The FASEB Journal, 22(2), 338–342.
Article
Google Scholar
Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., Luetge, C., Madelin, R., Pagallo, U., Rossi, F., Schafer, B., Valcke, P., & Vayena, E. (2018). AI4People—an ethical framework for a good AI society: Opportunities, risks, principles, and recommendations. Minds and Machines, 28(4), 689–707.
Article
Google Scholar
Ghoddusi, H., Creamer, G. G., & Rafizadeh, N. (2019). Machine learning in energy economics and finance: A review. Energy Economics, 81, 709–727.
Article
Google Scholar
Gmeiner, R. & Harper, M. (2021). Artificial Intelligence and Economic Calculation, mimeo, Methodist University.
Goodell, J. W., Kumar, S., Lim, W. M., & Pattnaik, D. (2021). Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis. Journal of Behavioral and Experimental Finance, 32, 100577.
Article
Google Scholar
Griffiths, M. R., & Lucas, J. R. (2016). Value economics: The ethical implications of value for new economic thinking. Palgrave Macmillan UK.
Haenlein, M., & Kaplan, A. (2019). A brief history of artificial intelligence: On the past, present, and future of artificial intelligence. California Management Review, 61(4), 5–14.
Article
Google Scholar
Hardyns, W., & Rummens, A. (2018). Predictive policing as a new tool for law enforcement? Recent developments and challenges. European Journal on Criminal Policy and Research, 24(3), 201–218.
Article
Google Scholar
Harzing, A. W. (2019). Two new kids on the block: How do crossref and dimensions compare with google scholar, microsoft academic, scopus and the web of science? Scientometrics, 120(1), 341–349.
Article
Google Scholar
Harzing, A. W., & Alakangas, S. (2016). Google scholar, scopus and the web of science: A longitudinal and cross-disciplinary comparison. Scientometrics, 106(2), 787–804.
Article
Google Scholar
Hawe, P. (2015). Lessons from complex interventions to improve health. Annual Review of Public Health, 36, 307–323.
Article
Google Scholar
Hayek, F. A. (1945). The use of knowledge in society. American Economic Review, 35(4), 519–530.
Google Scholar
Hayek, F. A. (1952). The counter-revolution of science: Studies on the abuse of reason. The Free Press.
Helbing, D. (2015). Thinking ahead: Essays on big data, digital revolution, and participatory market society. Springer.
Google Scholar
Helbing, D., & Hausladen, C. (2022). Socio-economic implications of the digital revolution. In P. Chen, W. Elsner, & A. Pyka (Eds.), Handbook of Complexity Economics. Routledge.
Holling, C. S. (2001). Understanding the complexity of economic, ecological, and social systems. Ecosystems, 4(5), 390–405.
MathSciNet
Article
Google Scholar
Hunt, M. (2007). The Story of Psychology. Anchor Books.
Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389–399.
Article
Google Scholar
Kao, Y. F., & Velupillai, K. V. (2015). Behavioural economics: Classical and modern. The European Journal of the History of Economic Thought, 22(2), 236–271.
Article
Google Scholar
Lazear, E. P. (2000). Economic imperialism. Quarterly Journal of Economics, 115(1), 99–146.
MATH
Article
Google Scholar
Leib, M., Köbis, N. C., Rilke, R. M., Hagens, M., & Irlenbusch, B. (2021). The corruptive force of AI-generated advice. arXiv preprint at: arXiv:2102.07536.
Levin, S., Xepapadeas, T., Crépin, A. S., Norberg, J., De Zeeuw, A., Folke, C., Hughes, T., Arrow, K., Barrett, S., Daily, G., Ehrlich, P., Kautsky, N., Maler, K., Polasky, S., Troell, M., Vincent, J. R., & Walker, B. (2013). Social-ecological systems as complex adaptive systems: Modeling and policy implications. Environment and Development Economics, 18(2), 111–132.
Article
Google Scholar
Levine-Clark, M., & Gil, E. L. (2021). A new comparative citation analysis: Google Scholar, Microsoft Academic, Scopus, and Web of Science. Journal of Business & Finance Librarianship, 26(1–2), 145–163.
Article
Google Scholar
Liang, T. P., & Liu, Y. H. (2018). Research landscape of business intelligence and big data analytics: A bibliometrics study. Expert Systems with Applications, 111, 2–10.
Article
Google Scholar
Liu, N., Shapira, P., & Yue, X. (2021). Tracking developments in artificial intelligence research: Constructing and applying a new search strategy. Scientometrics, 126(4), 3153–3192.
Article
Google Scholar
Lo, A. W., & Mueller, M. T. (2010). Warning: physics envy may be hazardous to your wealth!. arXiv preprint at: arXiv:1003.2688.
López-Robles, J. R., Otegi-Olaso, J. R., Gómez, I. P., & Cobo, M. J. (2019). 30 years of intelligence models in management and business: A bibliometric review. International Journal of Information Management, 48, 22–38.
Article
Google Scholar
Loureiro, S. M. C., Guerreiro, J., & Tussyadiah, I. (2021). Artificial intelligence in business: State of the art and future research agenda. Journal of Business Research, 129, 911–926.
Article
Google Scholar
Nisbett, R. E., & Wilson, T. D. (1977). Telling more than we can know: Verbal reports on mental processes. Psychological Review, 84(3), 231.
Article
Google Scholar
Mankiw, N. G. (2006). The macroeconomist as scientist and engineer. Journal of Economic Perspectives, 20(4), 29–46.
Article
Google Scholar
Marcus, G. & Davis, E. (2019). Rebooting AI: Building Artificial Intelligence We Can Trust. Pantheon Books.
Mariotti, S. (2021). Forging a new alliance between economics and engineering. Journal of Industrial and Business Economics, 48(4), 551–572.
Article
Google Scholar
Mariotti, S. (2022). The economics-engineering nexus: response to the commentaries. Journal of Industrial and Business Economics, 49(1), forthcoming. https://doi.org/10.1007/s40812-021-00203-z.
Martín-Martín, A., Thelwall, M., Orduna-Malea, E., & López-Cózar, E. D. (2021). Google Scholar, Microsoft Academic, Scopus, Dimensions, Web of Science, and OpenCitations’ COCI: A multidisciplinary comparison of coverage via citations. Scientometrics, 126(1), 871–906.
Article
Google Scholar
Martín-Martín, A., Orduna-Malea, E., & López-Cózar, E. D. (2018a). Coverage of highly-cited documents in Google Scholar, Web of Science, and Scopus: A multidisciplinary comparison. Scientometrics, 116(3), 2175–2188.
Article
Google Scholar
Martín-Martín, A., Orduna-Malea, E., Thelwall, M., & López-Cózar, E. D. (2018b). Google scholar, web of science, and scopus: A systematic comparison of citations in 252 subject categories. Journal of Informetrics, 12(4), 1160–1177.
Article
Google Scholar
Mason, P. (2015). Postcapitalism: A guide to our future. Allen Lane.
May, C. R., Johnson, M., & Finch, T. (2016). Implementation, context and complexity. Implementation Science, 11(1), 1–12.
Article
Google Scholar
McCorduck, P. (2019). This Could be Important: My Life and Times with the Artificial Intelligentsia. Lulu. com.
Mullainathan, S., & Spiess, J. (2017). Machine learning: An applied econometric approach. Journal of Economic Perspectives, 31(2), 87–106.
Article
Google Scholar
Mikalef, P., & Gupta, M. (2021). Artificial intelligence capability: Conceptualization, measurement calibration, and
empirical study on its impact on organizational creativity and firm performance. Information & Management, 58(3),
103434.
Mingers, J., & Leydesdorff, L. (2015). A review of theory and practice in scientometrics. European Journal of Operational Research, 246(1), 1–19.
MATH
Article
Google Scholar
Minsky, M. (1986). The Society of Mind. Simon & Schuster.
Google Scholar
Minsky, M. L. (1991). Logical versus analogical or symbolic versus connectionist or neat versus scruffy. AI Magazine, 12(2), 34–34.
Google Scholar
Minsky, M. (1992). Future of AI Technology. Toshiba Review, 47(7), 1–3.
Google Scholar
Minsky, M. (2006). The emotion machine: Commonsense thinking, artificial intelligence, and the future of the human mind. Simon & Schuster.
Google Scholar
Mitchell, M. (2019). Artificial Intelligence: A Guide for Thinking Humans. Penguin Books.
Mizerák, M. (2019). Comparison of transitional theories to post-scarcity in science-fiction literature. European Journal of Business Science and Technology, 5(1), 107–123.
Article
Google Scholar
Morgan, M. S. (2003). Economics. In T. M. Porter & D. Ross (Eds.), The Cambridge History of Science (Vol. 7, pp. 275–305). Cambridge University Press.
Chapter
Google Scholar
Morozov, E. (2019). Digital socialism? The calculation debate in the age of big data. New Left Review, 116(117), 19–46.
Google Scholar
Neisser, U. (1976). Cognition and Reality. Freeman.
Google Scholar
Newell, A., Shaw, J. C., & Simon, H. A. (1959). Report on a General Problem-Solving Program. P-1584, Rand Corporation.
Nilsson, N. J. (2010). The Quest for Artificial Intelligence: A History of Ideas and Achievements. Cambridge University Press.
Norris, M., & Oppenheim, C. (2007). Comparing alternatives to the Web of Science for coverage of the social sciences’ literature. Journal of Informetrics, 1(2), 161–169.
Article
Google Scholar
Omurtag, Y. B. (2009). What is engineering management? A new look at an old question. Engineering Management Journal, 21(4), 3–6.
Article
Google Scholar
Parkes, D. C., & Wellman, M. P. (2015). Economic reasoning and artificial intelligence. Science, 349(6245), 267–272.
MathSciNet
MATH
Article
Google Scholar
Rose, M. E., & Kitchin, J. R. (2019). pybliometrics: Scriptable bibliometrics using a Python interface to Scopus. SoftwareX, 10, 100263.
Rosheim, M. E. (2006). Leonardo’s Lost Robots. Springer.
Google Scholar
Roth, A. E. (2002). The economist as engineer: Game theory, experimentation, and computation as tools for design economics. Econometrica, 70(4), 1341–1378.
MATH
Article
Google Scholar
Rowe, J., & Partridge, D. (1993). Creativity: A survey of AI approaches. Artificial Intelligence Review, 7(1), 43–70.
Article
Google Scholar
Ruiz-Real, J. L., Uribe-Toril, J., Torres, J. A., & De Pablo, J. (2021). Artificial intelligence in business and economics research: Trends and future. Journal of Business Economics and Management, 22(1), 98–117.
Article
Google Scholar
Rumelhart, D. E., McClelland, J. and the PDP Research Group (1986). Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Vol. 1: Foundations. MIT Press.
Samuelson, P. A. 2004. In: Paul A. Samuelson In Breit, W. & Hirsch B. (Eds.), Lives of the laureates: Eighteen Nobel economists. MIT Press, pp. 49–64.
Schwartz, J. T. (1986). Limits of Artificial Intelligence, in. Shapiro, S. C. & Eckroth, D. (Eds.), Encyclopedia of Artificial Intelligence, Vol. 1. John Wiley and Sons, Inc., pp. 488–503.
Sent, E. M. (1997). Engineering Dynamic Economics.” In Davies, J. (Ed.) New Economics and Its History. History of Policity Economy, 39 (supplement), 41–62. London, UK: Duke University Press.
Sestino, A., & De Mauro, A. (2021). Leveraging artificial intelligence in business: Implications, applications and methods. Technology Analysis & Strategic Management. https://doi.org/10.1080/09537325.2021.1883583
Article
Google Scholar
Siau, K., & Wang, W. (2020). Artificial intelligence (AI) ethics: Ethics of AI and ethical AI. Journal of Database Management, 31(2), 74–87.
Siler, W., & Buckley, J. J. (2005). Fuzzy expert systems and fuzzy reasoning. Wiley.
Simon, H. A. (1978). On how to decide what to do. The Bell Journal of Economics, 9, 494–507.
Article
Google Scholar
Simon, H. A. (1991). Models of my life. MIT Press.
Google Scholar
Simon, H. A. (1995). Explaining the ineffable: Al on the topics of intuition, insight and inspiration. In Fourteenth International Joint Conference on Artificial Intelligence. San Francisco: Morgan Kaufmann (pp. 939–48).
Simon, H. A. (1996). The sciences of the artificial. MIT Press.
Google Scholar
Singh, P. (2003). The panalogy architecture for commonsense computing brief description. Unpublished manuscript. MIT Media Lab, Massachusetts, USA.
Singh, V. K., Singh, P., Karmakar, M., Leta, J., & Mayr, P. (2021). The journal coverage of web of science, scopus and dimensions: A comparative analysis. Scientometrics, 126(6), 5113–5142.
Article
Google Scholar
Srnicek, N. (2017). Platform capitalism. Polity Press.
Google Scholar
Taube, M. (1961). Computers and common sense. Columbia University Press.
Google Scholar
Torgler, B. (2021). Symbiotics> Economics? CREMA Working Paper No. 2021–15.
Torgler, B., & Piatti, M. (2013). A century of American Economic Review: Insights on critical factors in journal publishing. Palgrave Macmillan.
Turban, E. (1988). Review of expert systems technology. IEEE Transactions on Engineering Management, 35(2), 71–81. https://doi.org/10.1109/17.6007
Article
Google Scholar
Varian, H. R. (2014). Big data: New tricks for econometrics. Journal of Economic Perspectives, 28(2), 3–28.
Article
Google Scholar
White, I. (1988). W (h) Ither expert systems?—A view from outside. AI & Society, 2(2), 161–171.
MathSciNet
Article
Google Scholar
Wiener, N. (1954). The Human Use of Human Beings. Da Capo Press.
Wiggins, G. A. (2001). Towards a more precise characterisation of creativity in AI. Case-Based Reasoning: Papers from the Workshop Programme at ICCBR, 1, 113–120.
Google Scholar
Youyou, W., Kosinski, M., & Stillwell, D. (2015). Computer-based personality judgments are more accurate than those made by humans. Proceedings of the National Academy of Sciences, 112(4), 1036–1040.
Article
Google Scholar
Zuboff, S. (2015). Big other: Surveillance capitalism and the prospects of an information civilization. Journal of Information Technology, 30(1), 75–89.
Article
Google Scholar
Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. Profile Books.