Please use this identifier to cite or link to this item: http://hdl.handle.net/10071/34091
Author(s): Duarte de Almeida, I.
Boas da Silva, J. M.
Editor: Jagjit Singh Srai
Date: 2019
Title: Soft systems as a helping tool in the assessment of sustainable business practices and risks in a socio-economic-environmental context
Book title/volume: Proceedings of the 23rd Cambridge International Manufacturing Symposium
Event title: Shaping the future of global manufacturing supply networks: Delivering sustainable value for producers and consumers through digital platforms
Reference: 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
Keywords: Business responsibility
Sustainability Indicators (SI)
Soft Systems Methodology (SSM)
Abstract: 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.
Peerreviewed: yes
Access type: Open Access
Appears in Collections:BRU-CRI - Comunicações a conferências internacionais
DMOG-CRI - Comunicações a conferências internacionais

Files in This Item:
File SizeFormat 
conferenceObject_68075.pdf471,39 kBAdobe PDFView/Open


FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis Logotipo do Orcid 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.