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Adaptive Social Innovation Derived from Digital Economy and Its Impact on Society and Policy

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  • Min-Hyuk Cho

    (The Institute of National Public Policy, Chungnam National University, Daejeon 305764, Korea)

  • Chan-Goo Yi

    (Department of Public Administration, Chungnam National University, Daejeon 305764, Korea)

Abstract

The traditional concept of innovation focuses on significant changes in products and services. However, today’s innovation derived from the digital economy environment is transforming our way of life, values, and even social relations. The economic benefits of the digital economy and technology have a wide range of impacts derived from the rapid socio-economic transformation. The negative impact on jobs and incomes is a typical problem that threatens socioeconomic fundamentals. This phenomenon is the reason that we must have a new perspective about innovation that connects technology, economy, society and policy beyond the traditional perspective. Based on the new perspective, this study categorizes social innovations using an expanded concept. One of them is “adaptive social innovation”, and this study focuses on its key motive and impact. In this paper, a theoretical discussion is adopted from integrating discussions in macroeconomics, social psychology, political science, etc. The key motive can be found in transformation of production, consumption, and distribution due to the digital economy. Based on this, the detailed operation mechanism of adaptive social innovation that transforms public perceptions and systems are analysed. At the same time, the process in which formal institutions and the output of adaptive social innovation, affect society and policy was explored.

Suggested Citation

  • Min-Hyuk Cho & Chan-Goo Yi, 2022. "Adaptive Social Innovation Derived from Digital Economy and Its Impact on Society and Policy," Sustainability, MDPI, vol. 14(6), pages 1-20, March.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:6:p:3408-:d:770954
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    1. António Afonso & Ludger Schuknecht & Vito Tanzi, 2010. "Income distribution determinants and public spending efficiency," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 8(3), pages 367-389, September.
    2. Tommaso Ciarli & André Lorentz & Maria Savona & Marco Valente, 2010. "The Effect Of Consumption And Production Structure On Growth And Distribution. A Micro To Macro Model," Metroeconomica, Wiley Blackwell, vol. 61(1), pages 180-218, February.
    3. Ernst Ekkehardt & Merola Rossana & Samaan Daniel, 2019. "Economics of Artificial Intelligence: Implications for the Future of Work," IZA Journal of Labor Policy, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 9(1), pages 1-35, June.
    4. Rakhshanda Khan, 2016. "How Frugal Innovation Promotes Social Sustainability," Sustainability, MDPI, vol. 8(10), pages 1-29, October.
    5. Alfred Otara, 2011. "Perception: A Guide for Managers and Leaders," Journal of Management and Strategy, Journal of Management and Strategy, Sciedu Press, vol. 2(3), pages 21-24, September.
    6. Diego Daruich & Raquel Fernández, 2024. "Universal Basic Income: A Dynamic Assessment," American Economic Review, American Economic Association, vol. 114(1), pages 38-88, January.
    7. Carl Shapiro, 2019. "Protecting Competition in the American Economy: Merger Control, Tech Titans, Labor Markets," Journal of Economic Perspectives, American Economic Association, vol. 33(3), pages 69-93, Summer.
    8. Satya R. Chakravarty, 2009. "Inequality, Polarization and Poverty," Economic Studies in Inequality, Social Exclusion, and Well-Being, Springer, number 978-0-387-79253-8, July.
    9. Ruud Gerards & Riccardo Welters, 2020. "Liquidity Constraints, Unemployed Job Search and Labour Market Outcomes," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(3), pages 625-646, June.
    10. Wright Erik Olin, 2006. "Basic Income as a Socialist Project," Basic Income Studies, De Gruyter, vol. 1(1), pages 1-11, June.
    11. Julien Albertini & Arthur Poirier, 2015. "Unemployment Benefit Extension at the Zero Lower Bound," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 18(4), pages 733-751, October.
    12. Lawrence J. Christiano & Martin S. Eichenbaum & Mathias Trabandt, 2015. "Understanding the Great Recession," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(1), pages 110-167, January.
    13. Harry Anthony Patrinos & Felipe Barrera-Osorio & Juliana Guaqueta, 2009. "The Role and Impact of Public-Private Partnerships in Education," World Bank Publications - Books, The World Bank Group, number 2612.
    14. Rohan Kekre, 2023. "Unemployment Insurance in Macroeconomic Stabilization," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(5), pages 2439-2480.
    15. Teresa Curristine & Zsuzsanna Lonti & Isabelle Joumard, 2007. "Improving Public Sector Efficiency: Challenges and Opportunities," OECD Journal on Budgeting, OECD Publishing, vol. 7(1), pages 1-41.
    16. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    17. Carol Yeh-Yun Lin & Jeffrey Chen, 2016. "The Impact of Societal and Social Innovation," Springer Books, Springer, number 978-981-10-1766-7, December.
    18. Jürgen Howaldt & Michael Schwarz, 2011. "Social Innovation – Social Challenges and Future Research Fields," Springer Books, in: Sabina Jeschke & Ingrid Isenhardt & Frank Hees & Sven Trantow (ed.), Enabling Innovation, pages 203-223, Springer.
    19. Julien Albertini & Arthur Poirier, 2015. "Unemployment Benefit Extension at the Zero Lower Bound," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 18(4), pages 733-751, October.
    20. Bernard Chavance, 2008. "Formal and Informal Institutional Change : the Experience of Postsocialist Transformation," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 5(1), pages 57-71, June.
    21. Arntz, Melanie & Gregory, Terry & Zierahn, Ulrich, 2017. "Revisiting the risk of automation," Economics Letters, Elsevier, vol. 159(C), pages 157-160.
    22. Hilary Hoynes & Jesse Rothstein, 2019. "Universal Basic Income in the United States and Advanced Countries," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 929-958, August.
    23. James A. Schmitz, 2021. "Because of Monopolies, Income Inequality Significantly Understates Economic Inequality," Working Papers 777, Federal Reserve Bank of Minneapolis.
    24. Vladimir Gel'man, 2004. "The unrule of law in the making: The politics of informal institution building in Russia," Europe-Asia Studies, Taylor & Francis Journals, vol. 56(7), pages 1021-1040.
    25. Michael Siegrist, 2000. "The Influence of Trust and Perceptions of Risks and Benefits on the Acceptance of Gene Technology," Risk Analysis, John Wiley & Sons, vol. 20(2), pages 195-204, April.
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    Cited by:

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    2. Abbas, Shahbaz & Rao, Abdur Rehman Bin Nasir & Khattak, Farrukh & Ahmad, Yasir, 2024. "Revolutionising sustainability using a new triplet: A system dynamic model," Ecological Modelling, Elsevier, vol. 492(C).
    3. Akriti Gupta & Aman Chadha & Vijayshri Tiwari & Arup Varma & Vijay Pereira, 2023. "Sustainable training practices: predicting job satisfaction and employee behavior using machine learning techniques," Asian Business & Management, Palgrave Macmillan, vol. 22(5), pages 1913-1936, November.

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