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This study aims to investigate the drivers influencing the implementation of circular economy principles in the Nigerian architecture, engineering, construction and operation (AECO) industry across diverse regions of Nigeria.

A quantitative research approach was adopted, using a structured questionnaire distributed to AECO professionals across four selected regions (North Central, North West, South-South and South West) in Nigeria. The data were analysed using Kruskal–Wallis test and structural equation modelling (SEM).

The study findings show a robust consensus of opinions among the respondents across regions and professions. The SEM analysis establishes the significant influence of the hypothesized drivers, regulatory and institutional, supply chain collaboration, technological advancements, organizational support and business strategies on the successful implementation of circular economy principles in the Nigerian AECO industry.

The study is limited to specific regions and professions within Nigeria. Further limitation is the quantitative orientation of this study, which collects data using only a questionnaire.

The findings imply that stakeholders can adopt a unified approach to promote circular economy principles in the AECO industry. By recognizing the common understanding of circular economy drivers, collaborative efforts can be streamlined to advance sustainability, resource efficiency and circularity in the industry.

This study contributes to the nascent field of circular economy implementation in the Nigerian AECO industry. It offers a unique perspective by exploring variations in stakeholder opinions, providing insights into the nuanced understanding of circular economy drivers.

This study investigates the extent to which performance measures (PMs) are used, the relationship between multidimensional PMs and firm performance and the factors related to firms' PM use.

The authors surveyed a sample of Malaysian manufacturing firms. Participants responded to a questionnaire indicating their use of PMs, firm performance, level of managerial commitment, degree of environmental uncertainty and firm's use of technology.

The results indicate a high degree of PM use related to financial indicators, internal efficiency and customer-related metrics. The results also demonstrate that firm performance has significant positive relationships with use of PMs related to quality and customers, efficiency, innovativeness and social responsibility, as well as comprehensive PM use. Industry variation, firm size, technology use and environmental uncertainty are also significantly related to PM use.

Performance measurement systems (PMSs) are an important tool for improving organisational strategy in rapidly changing markets. These findings underscore the significant role of PMSs in manufacturing firms' performance, including emerging economies. The results suggest that individual PMS approaches should align with each firm's evolving needs and the characteristics of the sector and environment in which each firm operates.

This study advances understandings of the contingency approach to PMSs in manufacturing environments.

The purpose of this study is to identify the risks that exist in halal meat supply chain activities and to carry out a risk assessment using the fuzzy best-worst method (FBWM) along with mitigating risks using the risk mitigation number (RMN).

The method used is to collect several literature reviews related to the halal meat supply chain, which has information relevant to the risks of the meat industry in Indonesia. Then, a focus group discussion was held with several experts who play a role in the meat industry in Indonesia, and 33 identified risks were identified in halal meat supply chain activities. The proposed methodology uses FBWM and RMN in conducting risk assessment and mitigation in the meat industry in Indonesia.

The analysis reveals that priority risk is obtained by using the global weight value on the FBWM, and then risk mitigation is carried out with RMN. Priority mitigation strategies can mitigate some of the risks to the meat industry in Indonesia. The proposed mitigation strategy is designed to be more effective and efficient in preventing risks that can interfere with product halalness in halal meat supply chain activities in the Indonesian meat industry.

The implications of this study highlight the need for collaboration among stakeholders, improved risk assessment methodologies and the expansion of research into other halal supply chains. By addressing these implications, the halal industry can enhance its integrity, consumer confidence and overall contribution to the global market.

This research provides an integrated approach to identifying, analyzing, assessing and mitigating risks to the meat industry in Indonesia.

This study aims to examine the role of big data analytics (BDA) powered by artificial intelligence (AI) in improving sustainable performance (SP) through green supply chain collaboration (GSCC), sustainable manufacturing (SM) and environmental process integration (EPI).

Data was collected from 249 supply chain professionals working at various manufacturing firms, and hypotheses were tested through a quantitative method using PLS-SEM with the help of SmartPLS version 4 to validate the measurement model.

This study identified that BDA-AI significantly and positively affects GSCC, SM and EPI. Similarly, the results showed that GSCC significantly and positively affects SP. At the same time, SM and EPI have an insignificant effect on SP. The GSCC found a significant relationship between BDA-AI and SP for mediation. However, SM and environmental performance integration did not mediate the relationship between BDA and AI and SP.

This research evaluated a second-order model and tested SP in conjunction with the dynamic capability theory in the manufacturing industry of Pakistan. Therefore, this research could be beneficial for researchers, manufacturers and policymakers to attain sustainable goals by implementing the BDA-AI in the supply chain.

Documentation plays a key role in navigating the costs of construction projects. Traditional document management systems (TDMS) used in developing countries, however, hinder the achievement of expected cost targets. Although the electronic document management system (EDMS) has been implemented to improve documentation, the Sri Lankan construction industry has failed to effectively adapt to it. Hence, this study aims to provide strategies for the effective application of EDMS to the cost management of Sri Lankan mega construction projects.

This study uses a qualitative approach followed by 12 semi-structured expert interviews. Quantity surveying experts were selected through judgemental sampling. Manual content analysis was used to analyse the data.

The EDMS is more suitable for megaprojects than traditional methods of documentation in terms of functionality, neutrality, interoperability, space, reversibility and delivery speed. However, there are contradictory views about cost and security. Furthermore, five transitional challenges of EDMS have been identified under the three key themes of cost, stakeholder perception and technical difficulties. Four reasons were also identified as causing these five challenges. Seven suggestions were made to deal with these transitional challenges and three key feasible solutions for the Sri Lankan construction industry regarding the EDMS were identified. Development of Sri Lankan software with low initial cost was highlighted as the most feasible solution.

This is a novel study to investigate the applicability of EDMS to cost management mechanisms of megaprojects in Sri Lanka. The findings reveal transitional challenges and appropriate feasible solutions for EDMS adaptation. This can be applied to the cost management of megaprojects in other developing countries as well.

This paper explores the connection between capital structure and financial performance within European listed firms. The primary objective is to demonstrate an inverse U-shaped relationship between these two variables and pinpoint an optimal debt-equity mix.

In this study, we adopt a dynamic modeling approach to investigate the relationship between a firm’s capital structure and financial performance. Drawing on well-established theories and prior empirical studies, our model examines 3,121 dividend-paying firms from 41 European countries over 14 years, from 2008 to 2021. To enhance the reliability of our findings, we employ two distinct estimation techniques: the fixed effect model (FE) and the system generalized method of moments (System-GMM).

This study reveals an inverse U-shaped relationship between the firm’s financial performance, measured by the return on equity (ROE) and its capital structure (total liability to total assets ratio). Furthermore, an optimal capital structure of about 29% is determined for all firms in the sample, and about 21%, 28% and 41% industry-specific capital structure for manufacturing, real estate and wholesale trade, respectively.

This paper contributes to existing knowledge by empirically determining an optimal capital structure for listed firms across various industries in Europe, which very few studies have attempted to do in the past. An optimal capital structure is an invaluable benchmark for managers and other stakeholders, informing their decision-making.

The emergence of virtual reality (VR) has the potential to revolutionize various industries, including tourism, as it delivers a simulated environment that closely emulates real-life experiences. Therefore, this study aims to explore how the factors, i.e. enjoyment, emotional involvement, flow state, perceived privacy risk, physical risk and cost, influence the customers’ intention to use VR for tourism.

This study integrates the technology acceptance model, hedonic consumption theory with other factors, including cognitive response, authenticity, perceived privacy risk, perceived physical risk, perceived cost and perceived presence. Partial least squares structural equation modelling approach was used to test the proposed research model.

The finding based on the sample of 252 respondents revealed that authenticity is the most influential factor impacting behavior intention followed by perceived cost, attitude, cognitive response and enjoyment. Also, the study supported the moderating impact of personal innovativeness between attitude and behavioral intention to use VR for tourism.

The findings of the study offers practical implications for service providers, site managers, destination marketers, tourist organizations and policymaker to develop more effective strategies for offering VR services for tourism.

This study enriches the current understanding of VR adoption in context of tourism with empirical evidences.

The study aims to critically review the Shariah governance framework for Islamic banking prevailing in Pakistan and provide a comparison with Accounting and Auditing Organization for Islamic Financial Institutions (AAOIFI).

It analyzes 16 circulars issued by the State Bank of Pakistan (SBP) since 2002, including three Shariah governance frameworks in 2014, 2015 and 2018. Additionally, the study compares the SBP and AAOIFI Shariah governance standards to evaluate the soundness of the SBP framework against international benchmarks.

Pakistan’s Shariah governance model is centralized, with the SBP’s Shariah board having ultimate authority. The SBP has provided a comprehensive Shariah framework, which includes among others, the criteria for the qualifications and conflict of interests of Shariah members. Both AAOIFI and SBP Shariah governance frameworks have similarities and differences in terms of the tenure of Shariah Supervisory Board (SSB) members, reporting line of SSB, number of SSB meetings, minimum experience of SSB members, primary duties of Shariah board, code of ethics and conduct for SSB and management and requirement of publication of SSB report in the annual report of Islamic banks. The frameworks differ in terms of the delegation of SSB powers, assessment and appraisal of SSB effectiveness and outsourcing of Shariah Compliance Department and Internal Shariah Audit Unit.

The study recommends expanding the qualification criteria for Shariah advisors to include additional degrees and qualifications, upholding stringent criteria for conflict of interests and promoting stakeholder consultation through exposure drafts.

To the best of the authors’ knowledge, this is the first of its kind which critically review and compare the Shariah governance framework prevailing in Pakistan.

This study examines the relationship between HR practices and millennial employee retention in the tourism industry in Bangladesh. It investigates the moderating role of the work environment in the relationship between HR practices and employee retention in the industry.

The researchers used non-probability judgemental sampling to collect 384 questionnaires through a survey of millennial employees. Partial least square-based structural equation model (PLS-SEM) was used to analyse the data.

The results reveal that HR practices included in this paper have significant relationships with millennial employee retention in the tourism industry in Bangladesh, except employee participation in decision-making. In addition, the results show that the work environment only moderates the relationship between two HR practices (compensation, training and development) and millennial employee retention.

The results suggest that managers in tourism organisations must develop HR practices and foster a positive work environment to retain millennials.

This is the only study that examines the moderating role of the work environment on the relationship between five selected HR practices (training and development, job security, performance appraisal, employee participation, compensation) and millennial employee retention. Previous studies used fewer HR variables.