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QOL Barometer for the Well-being of Citizens: Leverages during Critical Emergencies and Pandemic Disasters

In: Decision Sciences for COVID-19

Author

Listed:
  • Arindam Chakrabarty

    (Rajiv Gandhi University (Central University))

  • Uday Sankar Das

    (National Institute of Technology Arunachal Pradesh (INI under MHRD Government of India))

  • Saket Kushwaha

    (Banaras Hindu University, India & Vice-Chancellor, Rajiv Gandhi University (Central University))

Abstract

Improving the quality of life for its citizens has been the focal point of any governmental system across the globe. Every state is committed to providing good governance to its countrymen. Society is moving through the Fourth Industrial Revolution (4IR) where the e-governance ecosystem has become the priority need of the hour. The days of mechanistic bureaucracy have become unpopular and outdated. The modern democracies desire an organic, citizen-friendly governmental system where information needs to be collected from the people at the bottom of the pyramid so that the state could ensure delivery of improvised and augmented public goods and services effectively and efficiently keeping in view its commitments for achieving all the UN-SDGs by 2030. This chapter has devised a dedicated model based on an e-governance framework. This QOL Barometer would be designed using the 4IR ecosystem. The innovative QOL Barometer or the “CARE-Protocol” may be developed and implemented for improving the quality of life of its citizens. This protocol would be conceptualized, based on inputs and insights from secondary sources. The benefits of this model can be leveraged during critical emergencies and pandemic disasters.

Suggested Citation

  • Arindam Chakrabarty & Uday Sankar Das & Saket Kushwaha, 2022. "QOL Barometer for the Well-being of Citizens: Leverages during Critical Emergencies and Pandemic Disasters," International Series in Operations Research & Management Science, in: Said Ali Hassan & Ali Wagdy Mohamed & Khalid Abdulaziz Alnowibet (ed.), Decision Sciences for COVID-19, chapter 0, pages 457-481, Springer.
    • Handle: RePEc:spr:isochp:978-3-030-87019-5_25
    DOI: 10.1007/978-3-030-87019-5_25
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