Technological Advances, Nations and Business-Wide Activity and Growth
A special issue of Economies (ISSN 2227-7099).
Deadline for manuscript submissions: closed (10 January 2023) | Viewed by 2920
Special Issue Editor
2. Pembroke College, University of Cambridge, Cambridge CB2 1RF, UK
Interests: technology-enabled innovation; artificial intelligence; labor markets; growth; development; business performance; digital transformation; digital divide; apps and outputs
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Technological advances are perceived to be critical drivers of long-term productivity growth and development in an economy (Romer, 1990). Innovations in artificial intelligence and the associated technologies are estimated to bring productivity gains in the near future (Alexopoulos and Cohen, 2019). Early research findings suggest that advanced technology, such as artificial intelligence and robotics, can boost productivity growth (Furman and Seamans, 2019). In the same time, firms risk their competitiveness, growth and profitability if they fail to embrace technology-enabled innovation and digital transformation (Ulas, 2019; Li et al., 2017).
Domestic income, quality of institutions, resources available for research purpose, organizational ability of a firm, and spillover across business entities and nations are crucial factors for technology-enabled innovation (Kumar and Singh, 2019). For instance, new technologies can present a whammy to low-income countries due to the challenge to substitute unskilled labor for other production inputs (Rodrik, 2018). In addition, advanced technology may make job positions redundant as work performed traditionally by employees, such as contact centres and financial services, might be substituted by computers (Korinek and Stiglitz, 2018).
This Special Issue aims to examine how technology-enabled innovation, technological change, digital transformation and digital literacy, as well as, certain advanced technologies (e.g., artificial intelligence and the associated technologies) can affect business and nations’ operations, performance, productivity and growth.
This Special Issue invites high-quality contributions that include, but are not limited to the following areas:
- Technology-enabled innovation and growth pathways.
- Technology-enabled innovation and labor markets.
- Technology-enabled innovation and income inequality.
- Technological change, access to opportunities and dynamic capabilities.
- Technological change, digital divide and outputs.
- Digital economies, digital infrastructure and outputs.
- Artificial intelligence, robotics and firms/nations’ outputs.
- Technological change and challenging transitions.
- Digital education, trainings and digital transformation.
- Apps and payoffs.
References
Alexopoulos, M. and Cohen, J. (2019). Will the new technologies turn the page on U.S. productivity growth? Economics Letters, 175: 19-23.
Furman, J. and Seamans, R. (2019). AI and the Economy. Innovation Policy and the Economy, 19: 161-191.
Korinek, A. and Stiglitz, J. (2018). Artificial Intelligence and its implications for income distribution and unemployment, in A. Ajay, J. Gans, and A. Goldfarb (Eds), The economics of Artificial Intelligence: An agenda (pp. 349-390). Chicago: University of Chicago Press.
Kumar, S. and Singh, B. (2019). Barriers to the international diffusion of technological innovations. Economic Modelling, 82: 74-86.
Li. L., Su. F., Zhang.W., and Mao, J.-Y. (2017). Digital transformation by SME entrepreneurs: A capability perspective. Information System Journal, 28: 1129–1157.
Ulas, D. (2019). Digital transformation process and SMEs. Procedia Computer Science, 158: 662–671.
Rodrik, D. (2018). New technologies, global value chains, and the developing economies. Pathways for Prosperity Commission. Background Paper Series; no. 1. Oxford: United Kingdom.
Romer, P. M. (1990). Endogenous technological change. Journal of Political Economy, 98: 71-102.
Prof. Dr. Nick Drydakis
Guest Editor
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Keywords
- technology-enabled innovation
- labor markets
- growth
- development
- digital transformation
- digital divide
- artificial intelligence and related technology
- business performance
- apps and outputs
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