Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/34091
Autoria: Duarte de Almeida, I.
Boas da Silva, J. M.
Editor: Jagjit Singh Srai
Data: 2019
Título próprio: Soft systems as a helping tool in the assessment of sustainable business practices and risks in a socio-economic-environmental context
Título e volume do livro: Proceedings of the 23rd Cambridge International Manufacturing Symposium
Título do evento: Shaping the future of global manufacturing supply networks: Delivering sustainable value for producers and consumers through digital platforms
Referência bibliográfica: Duarte de Almeida, I., & Boas da Silva, J. M. (2019). Soft systems as a helping tool in the assessment of sustainable business practices and risks in a socio-economic-environmental context. In J. S. Srai (Ed.), Proceedings of the 23rd Cambridge International Manufacturing Symposium (pp. 1-6). Centre for International Manufacturing (CIM). https://doi.org/10.17863/CAM.45880
ISBN: 000000000
DOI (Digital Object Identifier): 10.17863/CAM.45880
Palavras-chave: Business responsibility
Sustainability Indicators (SI)
Soft Systems Methodology (SSM)
Resumo: Sustainability indicators (SI) are fundamental instruments in business practices towards evaluation of general sustainability, its inherent risks, or the interaction of socioeconomic perspectives in an environmental sustainability context. The complex nature of the models applied call for a revision of the scientific methodologies used in the production of indicators addressing measurability, fitting them to a different nature of the problem characterised by (i) multiple, circular, conflictual relations in a web of heterarchical relations; (ii) the social component relevance; (iii) the existence of an observer bias and interest, stakeholders pressure, interaction with the phenomenon and interpretation, establishing unrepeatable situations that can only be analytically discussed in different contexts. Multi criterion alternatives are advocated and one is briefly characterised: the Soft Systems Methodology (SSM). Its advantages are summarised. The logic and impact of SSM in a classical evaluation process based on the need for feedback are also discussed. The conclusion argues in favour of SSM contribution for scientific knowledge, focusing on validity, in comparison with other methodologies utilised in the Economic, Social, and Environmental Impact Assessment of business practices.
Arbitragem científica: yes
Acesso: Acesso Aberto
Aparece nas coleções:BRU-CRI - Comunicações a conferências internacionais
DMOG-CRI - Comunicações a conferências internacionais

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