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The intervention of many different organizations during the post-disaster housing reconstructions could also influence the sustainability of the overall socio-ecology of the affected areas. Different approaches in design, selection of building materials and construction technologies deployed in pursuit of disaster resiliency may cause undesirable adverse circumstances to the surroundings, which escalate its susceptibility to future calamities. Therefore, this paper aims to identify relevant key indicators which interpret construction sustainability in a post-disaster housing reconstruction context, and to further investigate the dynamic interactions of these indicators on the socio-ecological system to achieve holistic sustainable post-disaster housing reconstructions.

Methodology was divided into three main stages. The first stage involved content analysis of related research materials, whereas the second stage was allocated for empirical data collection from case study and interview sessions. Data obtained from the first and second stage were then used to develop a causal loop diagram in the third stage to identify dynamic interrelationships between the indicators and the variables within a post-disaster reconstruction system.

From our results, the nexus of sustainability and disaster resilience is apparent and it is imperative to comprehend their dynamic interactions. The impacts of post-disaster reconstructions on the socio-ecological system are significant. Therefore, the adaptation of integrated sustainable construction approach in the housing reconstruction practice through system thinking will foster a holistic approach in the decision-making process and could reduce environmental damage. This also strengthens the interrelated socio-ecological systems, thus reinforcing disaster resilience in the built environment.

This research looks into the adaptation of integrated sustainable construction approach in the housing reconstruction practice through systems thinking approach. This will foster a holistic approach in the decision-making process and could reduce environmental damage. This also strengthens the interrelated socio-ecological systems, thus reinforcing disaster resilience in the built environment. This paper also looks into identifying relevant key indicators that interpret construction sustainability, which incorporate environmental, social and economic factors pertaining to the context of post-disaster housing reconstruction in Kuala Krai, Kelantan. The dynamic interrelationships and causal impacts between the indicators with other variables within the system were also established.

This study aims to aid theory building, the use of decision theory (DT) concepts in sustainable supply chain management (SSCM) research is examined.

An abductive approach considers two DT concepts, Snowden’s Cynefin framework for sense-making and Keeney’s value-focussed decision analysis, in a systematic literature review of 160 peer-reviewed papers in English.

Around 60 per cent of the papers on decision-making in SSCM come from operational research (OR), which makes explicit use of DT. These are almost all normative and rationalist and focussed on structured decision contexts. Some exceptions seek to address unstructured decision contexts via Complex Adaptive Systems or Soft Systems Methodology. Meanwhile, a second set, around 16 per cent, comes from business ethics and are empirical, behavioural decision research. Although this set does not explicitly refer to DT, the empirical evidence here supports Keeney’s value-focussed analysis.

There is potential for theory building in SSCM using DT, but the research only addresses SSCM research (including corporate responsibility and ethics) and not DT in SCM or wider sustainable development research.

Use of particular decision analysis methods for SSCM may be improved by better understanding different decision contexts.

The research shows potential synthesis with ethical DT absent from DT and SCM research.

Empirical behavioural decision analysis for SSCM is considered alongside normative, rational analysis for the first time. Value-focussed DT appears useful for unstructured decision contexts found in SSCM.

Empirical, behavioural decision analysis for SSCM is considered alongside normative rational analysis for the first time. Value-focussed DT appears useful for unstructured decision contexts found in SSCM.