Using Ontologies and Soft Systems Methodology to Provide Multi-user Support in Problem Structuring

Author(s):  
Cedric Gaspoz ◽  
Yair Wand

The chapter is devoted to the energy efficiency analysis as a prerequisite for sustainable use of energy. In this regard, the current study is focused on the application of soft systems methodology (SSM) and its role as a problem structuring approach to analyze the energy efficiency initiatives. For this purpose, four research works were addressed. The mentioned researches employed a combination of multiple-criteria decision analysis (MCDA) and (SSM) to assess the energy efficiency initiatives. The obtained results included the role of key players in rich pictures with a potential interest in a system for energy efficiency initiatives evaluations, the definition of the root, CATWOE components, and a conceptual model. The results of such processes could be applied in the establishment of a sufficiently accurate decision model capable of offering structured support giving rise to a more informed decision in terms of the energy efficiency measures implementation.


Author(s):  
Trevor T. Moores ◽  
Frank H. Gregory

Soft Systems Methodology (SSM) is a general problem structuring approach that seeks to incorporate multiple stakeholder views in the analysis of a given problem. When applied to IS development, the method requires negotiation and debate between the stakeholders when exploring the feasibility of developing an information system. The applicability of this approach depends, however, on the willingness of participants to enter into such an open discussion. This paper reports on a case study that highlights the problems of applying such a confrontational method in an Eastern culture, such as Hong Kong. Three main problems were identified: Group discussions were avoided; Interviews were conducted in multiple languages; and, High staff turnover made it difficult to develop and maintain mature stakeholder views.


2010 ◽  
Vol 16 (4) ◽  
pp. 641-653 ◽  
Author(s):  
Dulce Coelho ◽  
Carlos Henggeler Antunes ◽  
António Gomes Martins

This paper describes the use of Soft Systems Methodology (SSM) as a tool for problem structuring, which is the first phase encompassed in a methodological approach currently under development to provide decision support based on Multi‐Criteria Decision Analysis (MCDA) in energy planning problems in an urban context. In order to apply the methodology to a real‐world problem, a medium sized Portuguese city has been chosen as the decision setting. SSM is used for characterizing as precisely as possible the decision problem context, identifying the main stakeholders and their relations, and discerning the relevant criteria at stake for each one. Future work directions based on this phase are also envisaged. Santrauka Straipsnyje aprašoma operacinės sistemos metodologija (OSM), kuri bus taikoma kaip daugiakriterinės analizės metodais pagrįsta sprendimų paramos sistema miesto energetikos planavimo problemoms spręsti. Siekiant metodologiją pritaikyti realiame gyvenime, eksperimentui buvo parinktas vidutinio dydžio Portugalijos miestas. Operacines sistemos metodologija taikyta kuo tiksliau nustatant pagrindines problemas, identifikuojant pagrindines suinteresuotas šalis ir jų santykius, nustatant vienas kitam įtaka darančius rodiklius. Numatytos būsimos darbo kryptys.


2020 ◽  
Vol 10 (1) ◽  
pp. 86-99
Author(s):  
Lewis Tsuro ◽  
Stan Hardman

The Soft Systems Methodology (SSM) was developed as a set of tools for identifying and making incremental steps to improve situations with poorly defined causes or solutions. The supply chain forms a key process of any construction project; however, on any given construction site, supply chain inefficiencies could arise from many different avenues. Opinions vary, though, on which of these avenues is more important for increasing supply chain efficiencies; whether any problem even exist across the different aspects of the supply chain; as well as what steps should be taken to resolve them. It was therefore studied, here, whether SSM could be employed as a useful tool to systematically apply in the supply chains of a construction project in South Africa, for understanding and targeting the problematic situations that arise. Following thorough cyclical open-ended interviews with 17 workers, supervisors, foremen, site clerks, senior managers, and the CEO of the principal contractor at a new office park construction project in Rosebank, Johannesburg, and a thematic analysis of the data, SSM was performed to understand the existing challenges, and develop a suitable model for improvement. The study found that SSM was a good tool for understanding the ‘messy’ circumstances surrounding the chosen construction project supply chain, as well as actions that could be taken to improve the supply chain’s efficiency on site. The findings add weight to the argument that SSM could be a good tool for project managers to systematically introduce into their project planning regimens


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