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The main purpose of this study is to provide a comprehensive review and critical insights of the application of fuzzy methods in modeling, assessing and understanding the various aspects of green and sustainable supply chains (SSCs).

The present study conducts a systematic literature review (SLR) and bibliometric analysis of 252 research articles. This study employs various tools such as VOSviewer version 1.6.10, Publish or Perish, Mendeley and Excel that aid in descriptive analysis, bibliometric analysis and network visualization. These tools have been used for performing citation analysis, top authors' analysis, co-occurrence of keywords, cluster and content analysis.

The authors have divided the literature into seven application areas and discussed detailed insights. This study has observed that research in the social sustainability area, including various issues like health and safety, labor rights, discrimination, etc. is scarce. Integration of the Industry 4.0 technologies like blockchain, big data analytics, Internet of Things (IoT) with the sustainable and green supply chain (GSC) is a promising field for future research.

The authors' contribution primarily lies in providing the integrated framework which shows the changing trends in the use of fuzzy methods in the sustainability area classifying and consolidating green and sustainable supply chain management (SSCM) literature in seven major areas where fuzzy methods are predominantly applied. These areas have been obtained after the analysis of clusters and content analysis of the literature presenting key insights from the past and developing the conceptual framework for future research studies.

Construction projects in Malaysia are often delayed and over budget due to heavy reliance on labor. Linear regression (LR) models have been used in most labor cost (LC) studies, which are less accurate than machine learning (ML) tools. Construction management applications have increasingly used ML tools in recent years and have greatly impacted forecasting. The research aims to identify the most influential LC factors using statistical approaches, collect data and forecast LC models for improved forecasts of LC.

A thorough literature review was completed to identify LC factors. Experienced project managers were administered to rank the factors based on importance and relevance. Then, data were collected for the six highest ranked factors, and five ML models were created. Finally, five categorical indices were used to analyze and measure the effectiveness of models in determining the performance category.

Worker age, construction skills, worker origin, worker training/education, type of work and worker experience were identified as the most influencing factors on LC. SVM provided the best in comparison to other models.

The findings support data-driven regulatory and practice improvements aimed at improving labor issues in Malaysia, with the possibility for replication in other countries facing comparable problems.

The case study aims to achieve the following learning objectives, structured according to the Revised Bloom’s Taxonomy: First, explore the corporate governance framework: recall the roles and responsibilities of key stakeholders at UCICI Bank and AUDIOCON Group and their coordination in governance structures; interpret the principles of stakeholder theory and their application in governance decision-making processes; apply ethical frameworks like the Markkula Center for Applied Ethics Framework and the Josephson Institute Ethical Decision-Making Model to evaluate governance effectiveness; analyse governance lapses and identify gaps in oversight and stakeholder coordination; and propose reforms in governance frameworks to prevent future fraud; evaluate how effectively the governance structure addresses corporate fraud. Second, examine the concept of conflict of interest: understand the ethical and legal implications of conflicts of interest presented in the case; apply knowledge to assess corporate governance failures related to conflict of interest; analyse oversight lapses and identify causes for governance failure; evaluate SEBI regulations on conflict of interest and recommend strategies to mitigate such conflicts in corporate settings; explore the concept of related party transactions (RPTs); understand how RPTs influence governance and stakeholder interests; apply governance principles to assess the legality of RPTs in the case; analyse risks and ethical concerns associated with RPTs and governance failures linked to these transactions; and evaluate proposed regulatory reforms to enhance oversight and transparency. Third, derive key lessons from the case: understand areas for improvement in corporate governance practices, internal reporting mechanisms and whistleblower protections; apply lessons to create strategies for improving governance practices and protecting stakeholders; analyse systemic governance flaws that contributed to the fraud; evaluate the effectiveness of governance practices in preventing similar frauds in the future; and create recommendations for improving governance, ethics and whistleblower policies. Fourth, examine basic issues and remedial measures: understand the root causes of governance failures in the case; apply knowledge of corporate governance principles to recommend reforms in regulatory and accountability frameworks; analyse weaknesses in the existing governance system that enabled fraudulent activities; evaluate the feasibility of proposed remedial measures for transparency and ethical practices; and create new governance policies to enhance accountability and prevent future frauds.

By studying the UCICI AUDIOCON Loan Fraud Case, the above objectives are aimed to shed light on the complex dynamics of corporate governance, conflicts of interest, regulatory compliance, wrongdoing reporting mechanism, whistle-blower policy and reputation risks within the banking industry. The findings and insights from the case study can contribute to improving governance practices and strengthening the integrity of financial institutions.

The UCICI – AUDIOCON loan fraud case epitomises a crisis in corporate governance, spotlighting ethical breaches at the highest echelons of leadership. This case study delves into the dilemma faced by UCICI Bank’s Board of Directors regarding the prosecution of its former CEO, Mhanda Mochhar. Accusations of impropriety stem from a suspicious loan of US$391.57m to AUDIOCON Group, allegedly facilitated by Mochhar in exchange for personal benefits. The ensuing investigation unearthed violations of banking regulations, including non-disclosure, conflict of interest and RPTs. The pivotal board meeting, dissected in this study, underscores the delicate balance between accountability and reputational damage. Through analysis and debate, stakeholders grapple with the repercussions of their decisions on the bank’s integrity and stakeholder trust. The case encapsulates broader lessons on corporate governance, conflict of interest and regulatory oversight, serving as a springboard for critical inquiry and strategic reform in the financial sector. As the saga unfolds in the courtroom, this study provides a lens into the complexities of corporate morality and the imperative for robust governance frameworks.

This case study can be used in classes/subjects such as Finance, Strategic Management, Corporate Governance, Business Ethics and Law for (Vidgen, Hindle, & Randolph, 2020).▪ Graduate students and officials.

Teaching notes are available for educators only.

CSS1: Accounting and Finance.

This study aims to understand the current production scenario emphasizing the significance of green manufacturing in achieving economic and environmental sustainability goals to fulfil future needs; to determine the viability of particular strategies and actions performed to increase the process efficiency of electrical discharge machining; and to uphold the values of sustainability in the nonconventional manufacturing sector and to identify future works in this regard.

A thorough analysis of numerous experimental studies and findings is conducted. This prominent nontraditional machining process’s potential machinability and sustainability challenges are discussed, along with the current research to alleviate them. The focus is placed on modifications to the dielectric fluid, choosing affordable substitutes and treating consumable tool electrodes.

Trans-esterified vegetable oils, which are biodegradable and can be used as a substitute for conventional dielectric fluids, provide pollution-free machining with enhanced surface finish and material removal rates. Modifying the dielectric fluid with specific nanomaterials could increase the machining rate and demonstrate a decrease in machining flaws such as micropores, globules and microcracks. Tool electrodes subjected to cryogenic treatment have shown reduced tool metal consumption and downtime for the setup.

The findings suggested eco-friendly machining techniques and optimized control settings that reduce energy consumption, lowering operating expenses and carbon footprints. Using eco-friendly dielectrics, including vegetable oils or biodegradable dielectric fluids, might lessen the adverse effects of the electrical discharge machine operations on the environment. Adopting sustainable practices might enhance a business’s reputation with the public, shareholders and clients because sustainability is becoming increasingly significant across various industries.

A detailed general review of green nontraditional electrical discharge machining process is provided, from high-quality indexed journals. The findings and results contemplated in this review paper can lead the research community to collectively apply it in sustainable techniques to enhance machinability and reduce environmental effects.