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1 – 6 of 6Baljinder Kaur, Adarsh Rajput and Ayushi Garg
Purpose: The assessment of the linkage between quality and several SDGs is crucial due to the significant impact quality has on multiple dimensions. This study employs a…
Abstract
Purpose: The assessment of the linkage between quality and several SDGs is crucial due to the significant impact quality has on multiple dimensions. This study employs a comprehensive methodology to elucidate the various dimensions of quality. Additionally, it examines the relationship between quality and multiple SDGs, a topic that has not been previously investigated.
Design/Methodology/Approach: The question arises here that how maintaining quality leads to sustainability; well this question is answered in this study through a content analysis of previous studies and showing the importance of theme quality in various aspects of sustainability like TBL, sustainable development goals (SDGs), etc.
Findings: Quality has proven to be an admirable approach towards sustainability. The risen need for sustainability has brought many perspectives of the world. It can be environmental, social and economic and further these aspects have their own areas for improvement. The complexity of the structure of sustainability requires a basic common area to be focused on, and in this study, quality has proven to be one.
Implications: Through the SDGs it can be derived that each goal had an area where quality needed to be worked on. The several zones of quality are interlinked. Quality of life will automatically improve the education, health water and sanitation services. Therefore, the focus should be laid on attaining sustainability through quality. Quality is achieving excellence in something or a substance that satisfies the requirements needed from it or the resources are utilised effectively and efficiently.
Originality/Value: This study uses a holistic approach in which dimensions of quality have been explained and further the linkage of quality with different SDGs was assessed which has not yet been explored earlier.
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Sampa Chisumbe, Clinton Ohis Aigbavboa, Erastus Mwanaumo and Wellington Didibhuku Thwala
Sampa Chisumbe, Clinton Ohis Aigbavboa, Erastus Mwanaumo and Wellington Didibhuku Thwala
Swati Dwivedi and Ashulekha Gupta
Purpose: Significant structural changes are currently occurring in the Indian labour sector. Artificial intelligence (AI) and other emerging technologies are redefining the…
Abstract
Purpose: Significant structural changes are currently occurring in the Indian labour sector. Artificial intelligence (AI) and other emerging technologies are redefining the activities and skill requirements for various jobs in the healthcare sector. These adjustments have been accelerated by the economic crisis brought on by COVID-19, along with other considerations.
Need for the Study: Skills shortages, job transitions, and the deployment of AI at the company level are the three main challenges confronting the Indian labour market. This chapter aims to discuss policy alternatives to address a rising need for health workers and provide an overview of changes to the healthcare sector’s labour market.
Methodology: A review of the available literature was conducted to determine the causes of the widening skill gap despite a vibrant and prodigious young population. The background of the sustainable labour market is examined in this chapter, with a focus on workforce migration and mobility.
Findings: This chapter gives a comparative review of recent policy papers and evidence, as well as estimates of the health workforce and present Indian datasets. Furthermore, it highlights how important it is for all people concerned to invest in today’s workforce to close the skill gap and create better future opportunities.
Practical Implications: This chapter’s findings imply a severe shortage of human intellectual capital in India and a need to bridge this gap in the Indian labour market.
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