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This study¹ seeks to identify and propose a model for measuring and assessing the level of sustainability in housing environments based on a range of indicators. With this intention, the article is composed of four main parts. In the first part, the relationship between sustainability and housing is presented based on previous research; in the second part, a theoretical framework is put forward for sustainable housing. Then in the third part, sustainability indicators are discussed thoroughly within the context of indicator frameworks. In this section, the development, selection and measuring processes of indicators are also introduced. Finally in the fourth part, the model for measuring and assessing the level of sustainability in housing environments is presented. It is believed that this model will be used as a tool in the decision-making processes for the future development of existing housing settlements and their environments.

Sustainable construction deficits are common in developing economies, and resolutions are constrained by the failure to prioritise the plethora of available indicators. This study aims to report on overlapping indicators for benchmarking sustainable construction for construction organisations.

Online survey data were collected from construction professionals, academics and senior managers in government bodies. Pearson chi-squared tests and overlapping analysis were used to determine significant indicators. Kruskal–Wallis tests were used to determine statistically significant differences among the dimensions.

Overlapping analysis determined indicators significant for economic, environmental and social performance. Environmental protection and reporting (pollution and emissions) were significant for all three performance dimensions. The most significant indicators are economic performance (adequate competence of key project staff), environmental performance (environmental protection and reporting – pollution and emissions) and social performance (adequate sustainability expenditure by construction organisations). Significant differences due to dimensions existed for adequate competence of key project staff, sustainable construction and eco-design, adequate governance and organisational excellence of construction projects and satisfactory workers’ morale.

Determining overlapping indicators enables prioritised implementation that ensures sustainable construction. Excluding construction workers was a significant limitation for a holistic interrogation.

To the best of the authors’ knowledge, this is the first study to determine overlapping indicators for sustainable construction performance in Zimbabwe.

Sustainability is an integrating concept and demands strategic attention in developing countries like India. Due to strict environmental regulations and ongoing government sustainable policies such as “Namami Gange,” leather industries are extensively facing challenges to conform themselves toward these sustainable policies. The major challenge faced by leather industries is the exponentially increasing cost of adaptation to sustainable product and process. Under these operational constraints, survival of Indian leather industries has become a major challenge. In this context, this paper aims to identify and evaluate sustainable manufacturing policies. The key performance indicators (KPIs) based on triple bottom line of sustainability can assist leather industries that are about to initiate adopting sustainable practices.

This paper demonstrates the role of KPIs for evaluating sustainable manufacturing policies for leather industries in India. Initially, an in-depth literature review analysis has been carried out to identify indicators for evaluation of sustainable manufacturing policies. In this work, an integrated methodology has been developed to refine the priority map of the aforementioned KPIs based on consensus building among experts using Kappa analysis. Total interpretive structural modeling (TISM) has been used to demonstrate relationships which explain the significance of the KPIs. Further, Matriced Impact Croises Multiplication Applique analysis has been carried out to explore the relationships amongst KPIs.

Based on above analysis, identified interactive relationships among the KPIs will assist managers and decision-makers to incorporate effective sustainable policies in leather industries.

It is expected that these identified interactive interrelationships between KPIs will certainly facilitate the leather industry to achieve higher sustainable performance and competitiveness.

This study carries out an in-depth literature review analysis of sustainable manufacturing policies in leather industry. The author proposes an integrated methodology using kappa analysis, consensus building and TISM for evaluation of sustainable policies based on the literature review analysis and expert opinion.

This research aims to develop sustainable development scores at districts level based on weights of thirteen sub-indicators using a spatial information system.

The empirical study was conducted at seven districts in the state of Terengganu Malaysia. The evaluation was implemented using a spatial information system combined with weights of sub-indicators that were computed from the analytic hierarchy process (AHP) method.

In this study the sub-indicators layers overlaid into one raster layer to produce a sustainability development score from 1 to 3 for every district. The one raster layer shows that Marang district received the highest sustainable development score of 2.284. On the other hand, Kemaman district received the poorest sustainable development score of 1.686.

In this study the weights that obtained from the AHP method are verified and validated using a sensitivity analysis. The scores at districts level perhaps may not be accurate due to difficulties in differentiating the variability of indicators and sub-indicators. These are among the unsettled issues that could be explored as future research direction.

The results would have greatly benefited the policy makers and stakeholders, particularly in planning for future development without compromising the significance of environment, social and economic indicators.

Sustainable development is one of the key elements that needs to be considered seriously in assessing development of a country. The assessment may include proposing indices for environment, social, economic indicators and related sub-indicators of sustainable development. Instead of considering specific indices for indicators, this approach departs more formally from the concept of unweighted indices at country level.

Manufacturers and engineers need a practical and operational way to understand sustainable manufacturing and to apply it to their shop floors. The single index enables manufacturing industries to make decisions considering the continuous improvement to increase sustainability performance. The purpose of this paper is to develop a manufacturing sustainability index (MSI) based on lean and sustainability concepts using sustainable-value stream mapping.

The methodology of this research is linked to Delphi- analytical hierarchy process (AHP) qualitative assessment with sustainable-value stream mapping quantitative analysis for determining MSI. The Delphi method is used with relevant indicator selection, sustainable-value stream mapping is used to score the relevant indicator with efficiency approach and the AHP method is used to determine the indicator weight. To evaluate the applicability of this framework for assessing sustainability in the manufacturing process, a case study in Indonesian Wooden Furniture was developed.

The findings of this research is the framework for evaluating and assessing the sustainability performance of the manufacturing process. Although evaluation of the framework is limited to the furniture industry, there is a methodology potential to reproduce for the other sectors.

Theoretically, this study has provided a single index to measure performance of the manufacturing sustainability comprehensively at factory level. However, the implementation of the developed model is too limited. More application in different sectors and different industrial sizes is needed.

The value of this research lies in the novelty of the single index in measuring manufacturing sustainability and the relevant indicators for the furniture industry in Indonesia. The selection of the indicators has involved practitioners in the furniture industry and encompassed economic, environmental and social dimensions. The visualization of indicators through sustainable-value stream mapping is proven to be more practical and helpful for industrialists.

This study has two objectives: to identify sector-specific sustainability indicators from the literature and industry and to evaluate their importance through expert input.

The analysis was conducted using the Fermatean fuzzy entropy and WASPAS method.

The study found that, according to experts, the most important sustainability dimension was economic, followed by environmental and social. However, the analysis conducted using the sub-indicators indicated a difference in the experts’ perceptions based on the three dimensions of sustainability and when examples were given of practical applications related to these dimensions.

To identify and prioritize logistics sector-specific indicators by integrating sustainability dimensions to support sustainable logistics practices. Also provides a methodological framework for improving and benchmarking sustainability performance in the sector by aligning these indicators with the SDGs.

Offers a holistic assessment of sustainability in logistics by integrating its three dimensions and aligning with SDGs to highlight their contributions. Provides valuable insights for countries with emerging sustainable logistics sectors and distinguishes itself methodologically. Also, experts were grouped and weighted based on prioritizing the input of highly qualified participants.

Achieving sustainable construction is immensely challenging in developing economies due to their inadequate technical support system(s) (TSS). Hence, this article develops a TSS framework for sustainable construction indicators for Zimbabwe, a developing country.

A post-positivist philosophical stance and deductive reasoning were adopted to test pertinent theory. Construction professionals in consultancy, construction companies, government bodies and academic institutions participated in an online questionnaire survey. Primary data was analysed using a reliability test, Shapiro Wilks test, Kruskal–Wallis H test, mean score ranking, normalisation value, factor analysis and fuzzy synthetic evaluation (FSE).

FSE revealed a framework with six critical technical support subgroups, in order of importance viz: innovation for construction sustainability; adequate sustainability expenditure and skills training support; adequate project economic assessment and governance support; adequate circularity and environmental technical support; climate change literacy and supplier assessment support; and adequate decent work support. Existing sustainable construction initiatives can be buttressed by strengthening the six identified TSS through related policy initiatives.

The framework developed constitutes an innovative TSS for Zimbabwe to achieve sustainable construction.

With increasing pressure from the government and private sectors to be more environmentally and socially responsible, sustainable supplier selection has gained enormous currency in recent times. Particularly, in the case of the construction industry, owing to a large amount of industrial wastage generated and extreme workplace conditions, it is even more important to devise strategies to mitigate the harmful consequences. The most crucial step in this regard is the selection of sustainable suppliers that acquire a pivotal position in the supply chain ecosystem. This study aims to identify indicators for three criteria such as economic, environmental and social, and prioritize them according to their level of significance for sustainable supplier selection in the Indian construction industry.

In this study, the best-worst method (BWM) is presented for sustainable supplier selection in Indian construction organizations. Total of 27 indicators was identified for the three criteria of the triple bottom line (TBL) approach namely economic, environmental and social. Using BWM, the most important criterion was found and subsequently, all the indicators under each criterion were ranked in order of importance.

The analysis revealed that the environmental criterion was the most important criteria in the sustainable supplier selection followed by the economic criteria. The indicators that were the most influential in the effective selection process were “Usage of recyclable raw materials for production”, “Adoption of clean and green technologies”, “Waste management” and “Periodical environmental audits” under the environmental criteria; “Efficiency”, “Cost” and “Flexibility and Scalability” from the economic criteria; and “Safety programs” and “Information disclosure” in the social criteria.

The study provides a reference framework for the selection of sustainable suppliers in construction organizations. The findings can also be used for the assessment of suppliers' performance in the supply chains.

The novelty of this work lies in its attempt to model the performance of suppliers in the Indian construction supply chains.

This study aims to investigate the underlying factors that give rise to the set of sustainability indicators which are used for the implementation of sustainable construction projects and eventually the production of sustainable built assets.

To accomplish the purpose of this research, an online questionnaire survey was administered to a sample of 200 experts. By employing the statistical method of exploratory factor analysis (EFA), five distinct dimensions (factors) of stakeholders' attitudes were revealed.

The findings indicate that the sustainability indicators are based on five underlying factors, namely (1) sustainable competitiveness; (2) stakeholder engagement; (3) sustainable economic growth; (4) social sustainability; and (5) resource conservation and environmental policy.

More studies would be welcome to verify the underlying factors revealed in this paper.

The knowledge of the underlying factors enables senior management to maintain a balance of choices during the project management (PM) phase in order to implement and deliver sustainable construction projects. Furthermore, the findings deepen the understanding toward sustainable PM practices by providing insights on its core attributes.

As a theoretical contribution to knowledge, this study enhances the body of knowledge by revealing the underlying factors that give rise to the predefined set of the 82 sustainability indicators which are used to enable sustainable construction projects. In practice, the findings aid senior management in adopting strategies that enhance the delivery of sustainable construction projects.