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Policy innovation and emergence of innovative health technology: The system dynamics modelling of early COVID-19 handling in Indonesia

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  • Aminullah, Erman
  • Erman, Erwiza

Abstract

This article examines policy innovation, emergence of innovative health technology and its implication for a health system. The complexity of policy innovation implementation resulting from mixing public health resolution and economic interest will trigger the emergence of innovative health technology, which implies a health system improvement. The findings revealed that: First, policy innovation based on a science-mix category created the complexity of policy enforcement, affected the scale and speed of COVID-19 transmissions, and triggered the emergence of health innovative technology. Second, despite policy innovation in early COVID-19, handling was relatively less successful due to restricting factors in policy implementation but provided a new market for the emergence of innovative health technology. Third, the emergence of innovative health technology has strengthened health system preparedness during the pandemic, and provide an opportunity to re-examine the strengths and deficiencies of an entire health system for better health care.

Suggested Citation

  • Aminullah, Erman & Erman, Erwiza, 2021. "Policy innovation and emergence of innovative health technology: The system dynamics modelling of early COVID-19 handling in Indonesia," Technology in Society, Elsevier, vol. 66(C).
    • Handle: RePEc:eee:teinso:v:66:y:2021:i:c:s0160791x21001573
    DOI: 10.1016/j.techsoc.2021.101682
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    References listed on IDEAS

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    1. Maeno, Yoshiharu, 2016. "Detecting a trend change in cross-border epidemic transmission," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 73-81.
    2. Dahlke, Johannes & Bogner, Kristina & Becker, Maike & Schlaile, Michael P. & Pyka, Andreas & Ebersberger, Bernd, 2021. "Crisis-driven innovation and fundamental human needs: A typological framework of rapid-response COVID-19 innovations," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    3. Martin Kunc & John D. W. Morecroft & Sally Brailsford, 2018. "Special issue on advances in system dynamics modelling from the perspective of other simulation methods," Journal of Simulation, Taylor & Francis Journals, vol. 12(2), pages 87-89, April.
    4. Burmaoglu, Serhat & Sartenaer, Olivier & Porter, Alan, 2019. "Conceptual definition of technology emergence: A long journey from philosophy of science to science policy," Technology in Society, Elsevier, vol. 59(C).
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    Cited by:

    1. Chi, Nguyen Thi Khanh, 2021. "Innovation capability: The impact of e-CRM and COVID-19 risk perception," Technology in Society, Elsevier, vol. 67(C).
    2. Esmaeilzadeh, Pouyan, 2022. "Identification of barriers affecting the use of health information exchange (HIE) in clinicians' practices: An empirical study in the United States," Technology in Society, Elsevier, vol. 70(C).
    3. Aminullah, Erman, 2024. "Forecasting of technology innovation and economic growth in Indonesia," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    4. Xiaomei Luo & Yuduo Wu & Lina Niu & Lucheng Huang, 2022. "Bibliometric Analysis of Health Technology Research: 1990~2020," IJERPH, MDPI, vol. 19(15), pages 1-17, July.
    5. Hermundsdottir, Fanny & Haneberg, Dag Håkon & Aspelund, Arild, 2022. "Analyzing the impact of COVID-19 on environmental innovations in manufacturing firms," Technology in Society, Elsevier, vol. 68(C).
    6. Priyanka Das & Santosh Shukla & Ashwin Bhagwat & Saurabh Purohit & Sanjay Dhir & Sushil & Harkabir Singh Jandu & Meenal Kukreja & Nitin Kothari & Saurabh Sharma & Shyamashree Das & Gunjan Taneja & Raj, 2023. "Modeling a COVID-19 Vaccination Campaign in the State of Madhya Pradesh, India," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(1), pages 143-161, March.

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