The purpose of this study was to conceptualise a framework that reflects an intertwined relationship between the green board committee and firm performance. Agency and stakeholder theories hold a basic notion of supporting the relationship between the green board committee and firm performance. The moderating role of intellectual capital (IC) was introduced in the intertwined relationship between green board committees and firm performance based on a resource-based view theory. This study proposes a new measurement index, namely, the “green board committee index”, to measure the green practices of organisations. This index is comprised of four dimensions: strategy and policymaking, monitoring and control, sustainability, and risk management. The current study hypothesised a significant and positive relationship between the green board committee and firm performance. It was believed that the moderation effect of IC strengthens the relationship between the green board committee and firm performance. The data for this study were proposed to be measured through a content analysis of the company’s annual and embedded reports and a Thomson Reuters DataStream terminal. It adds to the body of knowledge by alluding to an integrated notion of green board committees and IC concerning firm performance. The mentioned conceptual framework sends signals to legislators, regulators, policymakers, and practitioners on the critical insights and actions of green board committees in setting strategies and objectives, addressing sustainability issues, forging a relationship with stakeholders, and increasing the firm’s value from the business operations.

The COVID-19 epidemic has spread across the world within months and creates multiple challenges for healthcare providers. Patients with cardiovascular disease represent a vulnerable population when suffering from COVID-19. Most hospitals have been facing difficulties in the treatment of COVID-19 patients, and there is a need to minimise patient flow time so that staff health is less endangered, and more patients can be treated. This article shows how to use simulation techniques to prepare hospitals for a virus outbreak. The initial simulation of the current processes of the heart clinic first identified the bottlenecks. It confirmed that the current workflow is not optimal for COVID-19 patients; therefore, to reduce waiting time, three optimisation scenarios are proposed. In the best situation, the discrete-event simulation of the second scenario led to a 62.3% reduction in patient waiting time. This is one of the few studies that show how hospitals can use workflow modelling using timed coloured Petri nets to manage healthcare systems in practice. This technique would be valuable in these challenging times as the health of staff, and other patients are at risk from the nosocomial transmission.

Reliability-Centred Maintenance (RCM) is a strategic process to improve the maintenance planning of companies which contributes to sustainable production. This method has been applied by numerous industries to achieve an efficient maintenance process, but many have not fully completed their goals. The reason for this failure is that RCM implementation is complex, and organisations need to have adequate preparations before they implement it. In the pre-implementation phase, it is necessary to know the number of Critical Success Factors (CSFs) as a critical measure for implementing the RCM method successfully. Therefore, it is important for practitioners to apply a symmetric mechanism involving fuzzy systems to achieve the desired RCM implementation. There are a limited number of studies that have observed these factors regarding the characteristics of oil and gas companies, especially in the pre-implementation phase. Addressing RCM pre-implementation issues is of high importance from the economic perspective of sustainability for oil and gas organisations. The objective of this study is to investigate significant items in RCM pre-implementation through a combination of quantitative and qualitative analyses. The Nominal Group Technique (NGT) method is applied by gaining the opinion of experts to determine the factors and prioritising them using mathematical modelling. A group of related experts from the oil and gas industry were initially interviewed and surveyed to determine the critical success factors. These identified factors were then analysed using quantitative analysis to identify the important degrees and scored using Fuzzy Analytic Network Process (FANP). Fifteen major factors affecting the criticality of successful RCM implementation have been identified and prioritised, based on their weights. The model proposed in this study could be used as a guideline for assessing CSFs in other countries. To apply the proposed model in different contexts, it needs to be modified according to the needs, policies, and perspectives of each country.

Critical Success Factors for Enterprise Resource Planning System Implementation: A Case Study in Malaysian SME