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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.

The purpose of this study is to develop a method to assess social performance. Traditionally, environment, social and governance (ESG) rating providers use subjectively weighted arithmetic averages to combine a set of social performance (SP) indicators into one single rating. To overcome this problem, this study investigates the preconditions for a new methodology for rating the SP component of the ESG by applying machine learning (ML) and artificial intelligence (AI) anchored to social controversies.

This study proposes the use of a data-driven rating methodology that derives the relative importance of SP features from their contribution to the prediction of social controversies. The authors use the proposed methodology to solve the weighting problem with overall ESG ratings and further investigate whether prediction is possible.

The authors find that ML models are able to predict controversies with high predictive performance and validity. The findings indicate that the weighting problem with the ESG ratings can be addressed with a data-driven approach. The decisive prerequisite, however, for the proposed rating methodology is that social controversies are predicted by a broad set of SP indicators. The results also suggest that predictively valid ratings can be developed with this ML-based AI method.

This study offers practical solutions to ESG rating problems that have implications for investors, ESG raters and socially responsible investments.

The proposed ML-based AI method can help to achieve better ESG ratings, which will in turn help to improve SP, which has implications for organizations and societies through sustainable development.

To the best of the authors’ knowledge, this research is one of the first studies that offers a unique method to address the ESG rating problem and improve sustainability by focusing on SP indicators.

An amalgamation of Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Analytical Network Process (ANP) has been performed to develop a decision-making framework for improving the overall performance of the microfinance institutions. A primary survey was conducted to collect real-time data from the heterogeneous stakeholders of microfinance institutions across India. The validation of the proposed framework is performed by comparing the results against the conventional method of Analytical Hierarchy Process (AHP).

This study identifies various dimensions and indicators for measuring the performance of Indian microfinance institutions. Additionally, the ranking and prioritisation of the performance dimensions and indicators is obtained by considering the mutual interrelation between them.

The study indicates that there exists a significant dyadic relationship between financial performance and social performance for improving the overall performance of the microfinance institutions. Governance is found to unidirectionally influence both financial and social performance. Among all the considered dimensions, financial performance of a microfinance institution is the most critical dimension for improving the overall performance. The top five performance indicators of the Indian microfinance institutions are funding source, borrowing and overhead cost, size of the firm, end-use of the money and depth of outreach.

The study was conducted in the context of Indian microfinance institutions; hence the scope of generalisation of the results is limited. This research considers both subjective and objective aspect of the performance dimensions and indicators from the perspective of multiple stakeholders (i.e. firm, society and regulator). The integrated framework is expected to aid in improving overall performance of microfinance institutions by focusing on the most critical (high prioritised) performance indicators.

An integrated DEMATEL-ANP framework is used in the domain of microfinance to assess the performance dimensions. This study is unique in terms of analysing performance of microfinance institutions from the perspective of heterogeneous stakeholders.

The purpose of this paper is to establish the relationship between environmental‒social disclosure scores and corporate financial performance. The authors tried to investigate the relevance of assurance practice (whether or not companies’ assessment policies are subject to individual assessment for the given period) and value relevance in foreign-owned firms.

This research is based on accounting-based valuation model proposed by Berthelot et al. (2003), considering the market value of equity as the function of book value and other financial indicators including Return of Assets and Return on Capital Employed. Environmental and social disclosure scores are extracted from Bloomberg database as the measure of company’s transparency in reporting value relevance information and sustainable development. The study considers the sample period of 8 years (2008‒15) and uses static (fixed effects and random effects) and dynamic (generalised methods of moments (GMM)) panel data estimations for analysing and concluding results.

The results support the evidence of environmental disclosure score as performance relevance indicator. Environmental disclosure score highlights the positive and significant relationship with different performance indicators. The interaction between foreign ownership and environmental disclosure represents a negative association, implying that foreign ownership is incubating more on profit making rather than environmental protection initiatives. However, in the context of the social disclosure score, a positive association with economic performance is found. But interaction term between foreign ownership and social disclosure represented a negative coefficient.

Value relevance disclosures are investigated with performance indicators that create an incentive for stakeholders. Also, the effect of foreign ownership and value relevance interaction term on firm’s financial performance is determined. To the best of authors’ understanding, previous literature is silent about this dimension. The authors also tried to incorporate the solution to the endogeneity issue by using GMM.

Many indicators attempt to measure the social performance of a company from different perspectives. Grounded in stakeholder theory, this paper aims to propose capitalising the economic value distributed annually to society over a period of time, hereafter called a firm’s cumulative contribution to society (CCS). This can be done by including everything that stakeholders value; for example, payments of taxes, remuneration of employees, payments to suppliers and creditors, donations, dividends, research and development expenses and efforts to improve the environment.

First, this paper makes a methodological proposal about how to calculate the CCS and discusses potentials and shortcomings. Then, a set of hypotheses are formulated about the firm characteristics and country attributes that make the most positive contribution to society such as business models, financial performance, a country’s human development, income equality and the extent of its shadow economy. The authors also argue that a company that originally contributes to society will continue to do so because of the structural inertia faced by organisations. The hypotheses were validated with an empirical study conducted with a sample of 9,276 new-born European companies.

The most significant contributors to society are large, profitable companies, which are leveraged but solvent, with high asset turnover and high-profit margins and which are productive and pay high wages. Unfortunately, this win-win situation describes a small percentage of the explained variance, which can explain why social and financial performance sometimes do not go hand-in-hand. The paper identifies features of other types of companies that contribute to society, suggesting criteria for socially responsible investors. Country development favours the cumulative contribution that firms make to society.

Most accounting systems do not collect all the information necessary to calculate a refined version of the indicator such as percentage of purchases from local suppliers, percentage of salaries for executives and disabled employees and percentage of financing from socially responsible financial entities. The authors encourage modification of the accounting systems to include those aspects.

This paper identifies several types of companies that contribute the most to society from a modest set of financial indicators. Socially responsible investors can estimate their contribution to society, devising new investment criteria.

The paper identifies several types of companies that contribute the most to society from a modest set of financial indicators. Socially responsible investors can estimate their contribution to society, devising new investment criteria.

The paper makes two contributions, one methodological and the other empirical. By applying a financial methodology, the authors propose to capitalise the contributions of a company over a period of time. The empirical study identifies both firm and country characteristics that explain CCS.

Considering the dearth of industry-specific empirical research exploring sustainability reporting in the context of developing countries, this chapter aims to critically examine the extent and the nature of sustainability information disclosure of environmentally polluting industries in India.

Data are collected from business responsibility reports (BRRs), sustainability reports, Corporate Social Responsibility (CSR) reports and integrated reports of all 57 energy and mining companies included in NIFTY500 Index at National Stock Exchange of India for the year 2017–2018 and 2018–2019. Content analysis is used to examine the sustainability disclosure practices and one-way analysis of variance (ANOVA) statistical analysis is performed to test the difference across various dimensions of sustainability reporting of companies.

The results indicate low environmental reporting of the key indicators by energy and mining companies in India. It is found that state-owned companies have better social reporting practices against private sector companies. The findings also indicate that Global reporting initiative (GRI) based reporting have better sustainability disclosure practices and companies reporting based on BRR lack quantitative information disclosure.

The findings of the present chapter have several implications for policymakers, investors, regulators and management of these high environmental and social impact companies in India. The findings which coincide with the key areas of sustainability disclosure can be used for improving sustainability disclosure practices by the various stakeholders.

This is one of the first studies to investigate the nature and extent of sustainability performance disclosure of the companies from polluting industries in India. This chapter also contributes to the existing sustainability reporting literature by providing evidence on industry-specific disclosure in the context of a developing country.

This study aims to explore the influence of field-level funding pressure and resource dependency on conflicting institutional logics in implementing a new performance measurement system (PMS) within a privatised social enterprise (SE) in a developing country. It answers the research question: how accounting-based key performance indicators (KPIs) were chosen within a privatised SE to maintain co-existence between two different institutional logics, the social and commercial logics, to gain legitimacy in the government funding scheme.

This study expands the application and contribution of the Besharov and Smith’s (2014) logics multiplicity framework to previous management accounting literature on PMS and institutional logics. It adds a new dimension to previous literature to theorise the cognitive dynamics of institutional logics at three distinct but interrelated institutional levels, namely, field, organisational and individual. Data come from an interpretive case study of an Egyptian SE, involved in implementing a social project (drinking water refining) in rural communities.

PMS acts as a political tool through which the privatised case company has gained societal acceptance and legitimacy in the government funding scheme. Its non-political KPIs have turned into political tools to meet the institutional demands of the funding scheme. This government involvement represents field-level institutional logics, which influenced the organisational-level interplay of commercial and social logics and then the individual-level choice of internal KPIs. This contributes to the fact that institutional logics and their interplay between these three levels are “in a state of flux” within SEs’ internal PMS.

This study deals with a real-life practical case that proves the prevalence of one institutional logic over another at both the organisational and individual levels may be occasioned by organisational field pressures and opportunities rather than by other intra-organisational conflicts as discussed in most previous literature on PMS and institutional logics.

The purpose of this paper is to present a content analysis of corporate social responsibility (CSR) reports published by logistics service providers (LSPs), and to analyse factors influencing the level and scope of reporting. In order to address this objective, the authors show to what extent various social and environmental categories are covered in the CSR reports. The authors also investigate whether any differences in the use of CSR indicators can be found with regard to the use of a formal reporting framework, the size of a company, location of its headquarter, and ownership structure.

The study begins with a comprehensive literature review on the CSR policies and practices in relation to the field of logistics. A database of 350 international LSPs is compiled based on independent rankings of top logistics companies. Applying a content analysis approach, corporate web sites and CSR reports are examined in order to investigate how sustainability is reported and what CSR-related indicators are published. Statistical analysis is carried out to provide insight into whether any differences in the use of CSR indicators can be found with regard to four key factors identified in the literature review.

Although aspects of sustainability are mentioned on corporate web sites of most LSPs in the database (53 per cent), only 13 per cent publish formal CSR reports. This research identifies a variety of indicators used by LSPs and shows that the use of a formal reporting framework and the size of a company are the two main factors influencing the levels of CSR reporting in the sector.

This paper provides an insight into how transparently LSPs report on the sustainability of their performance. LSPs can compare their own CSR reporting approaches to the body of scientific literature and the findings presented in this paper, in order to adapt more general concepts and best practice evidence to their needs.

By focusing on best practice in reporting of the environmental and social performance, this research can potentially improve the long-term sustainability of the logistics sector.

This is the first study providing a comprehensive review of the CSR reporting practice in the third party logistics sector. As such, this paper provides an important basis for CSR-related research in the field of logistics and supply chain management. Several areas for future research are also identified.

The purpose of this study is to develop BSC model of social enterprise. Performance analysis tool of BSC have been brought over from the business world, designed and created from the perspectives of profit‐based businesses. The BSC is a strategic performance measurement and management tool designed for the private sector acting as a communication/information and learning system, to measure “where we are now” and “where to aim for next”. It prescribes a plan for translating “vision” and “strategy” into concrete action across four perspectives at different stages, depending on the business. These perspectives are “financial”, “customer”, “internal processes” and “learning and growth”, each of which is connected by cause‐and‐effect relationships that reflect the firm’s strategy. Social aims of social enterprise are to accomplish desired outcomes which are to employ vulnerable people and to provide social services. The measurement factors of financial perspective are stable funding, efficiency of budgeting, stakeholders’ financial supports, and trade profit. The measurement factors of customer perspective are government, social service users, employees, local communities, supplier, social activity company, and partnership with external organizations. The measurement factors of internal process perspective are organizational culture, organizational structure/management, internal/external communication, quality of products and services, information sharing. The measurement factors of learning and growth perspective are training and development, management participation, knowledge sharing, leadership of CEO and manager, and learning culture.

This paper aims to present the findings of an investigation into environmental reporting practice in the airline sector.

Evidence was gathered from an international survey of 272 IATA Airlines. Responses accounted 65 per cent of the world's scheduled passenger traffic. Reports were assessed against a framework developed by UK's Association of Chartered and Certified Accountants.

The paper demonstrates that, despite an increase in the availability of quantitative data and some consistency in the use of key performance indicators, comparing social and environmental performance across the airline sector is fraught with difficulties. Variations in the exact definitions of the indicators used and the suite of functions embraced by the term “airline” are identified as fundamental obstacles to effective sector benchmarking.

Insight into an understanding of some of the pros and cons of comparisons between airline environmental performance data.

The research highlights the limitations of inter airline comparisons regarding environmental data and confirms the need for environmental and social impacts to be reported in a more standardised manner in order to facilitate meaningful dialogue with stakeholders in communities adjacent to airports.