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27. Corporate Nirvana: The Buddhist way to social sustainability and business innovation.

Author

Sharma, Daneshwar, Sahoo, Saumyaranjan, Kumar, Ashwani, Huisingh, Donald, and Sharma, Dheeraj

Subjects
SOCIAL sustainability, INNOVATIONS in business, LITERATURE reviews, BUDDHISTS, BUSINESS models, SUSTAINABILITY, ECOLOGY
Abstract

Prevailing consumption‐based business models and capitalist practices place significant strain on the environment and society. Buddhism, as a practicing religion, may provide insights on practicing models as a solution to sustain society, the environment, and businesses. The present investigation adopts a structured literature review methodology to take stock of such prior studies and articulate its representation of Buddhism‐based business models, practices, ethical frameworks, and economic views. Based on the findings, it is clear that the prior studies have discussed the practitioner context of Buddhism religion in order to promote ethical and mindful business practices at the consumer, managerial, and business levels; to reduce the negative effects of identity politics in the workplace through spirituality; to introduce the idea of considering factors other than purely financial profitability; and to encourage the long‐term viability and genuine happiness of individuals, communities, and organizations. In relation to these topics, research avenues are proposed. [ABSTRACT FROM AUTHOR]

Published
2023
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28. Evaluation of strategies to manage risks in smart, sustainable agri‐logistics sector: A Bayesian‐based group decision‐making approach.

Author

Gupta, Himanshu, Kharub, Manjeet, Shreshth, Kumar, Kumar, Ashwani, Huisingh, Donald, and Kumar, Anil

Subjects
GROUP decision making, LABOR supply, AGRICULTURAL industries, FREIGHT forwarders, GROSS domestic product
Abstract

The agriculture industry is one of India's largest and most important economic contributors. This is vital to the Indian economy since it contributes around 18% to the GDP and employs over 60% of the labour force. Due to the nature of the goods, however, this sector confronts many challenges. An effective agri‐logistics network can be a viable solution, but the sector must be prepared to overcome various risks. Therefore, this study aimed to identify potential risks to the smart, sustainable agri‐logistics industry and strategies for mitigating those risks. Bayesian Best Worst Method (BBWM) was used to prioritise the identified risks and the mitigating strategies. Study results indicate that by obtaining the highest ratings, technological (0.351), social (0.187), and individual (0.169) are the dominating risks to the agri‐logistics sector. Further, it was discovered that combining multiple strategies is more effective than any one strategy alone in reducing the identified risks. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
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