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This systematic literature review investigates the phenomenon of board multiple directorships and its implications for corporate governance and organisational performance.

The study adopts a systematic approach, which involves identifying and analysing relevant research papers on board multiple directorships. This study synthesises the latest research findings to gain insights into the determinants and consequences of multiple directorships. The sample literature was collected from the Scopus database from year 2000 till 2023.

The review reveals several key findings. Firstly, multiple directorships have both positive and negative implications for corporate governance. They can bring value by providing directors access to valuable information and resources from different companies, enhancing board functions and improving firm performance. However, there is a concern that overworked directors may not effectively fulfil their fiduciary responsibilities on any board, compromising their monitoring abilities.

This study contributes to the existing body of knowledge by comprehensively reviewing multiple board directorships research and their impact on organisations. This study synthesises the latest research findings and offers valuable insights into the determinants and consequences of this practice. Also, this study highlights the need for effective corporate governance practices that balance multiple directorships’ benefits and potential drawbacks. The study also identifies research themes and suggests potential areas for future research, contributing to the advancement of understanding in board multiple directorships.

This study aims to examine whether the age and tenure of the chair of the board of directors are related to research and development (R&D) investment in China.

This study uses A-share manufacturing firms that traded on the Shanghai and Shenzhen stock exchange between 2009 and 2018. This study uses OLS regressions, controls for self-selection bias, and uses an instrumental variable to alleviate the concern of endogeneity.

This study finds that chair tenure has a negative relationship with R&D investment. This study does not find a significant relationship between chair age and R&D investment.

This study contributes to corporate governance and strategic management literature by highlighting chair tenure as a new factor affecting R&D investments. It also adds a significant contribution to the limited literature on the chair’s role in strategic decisions. Moreover, companies that are eager to strengthen corporate governance and maintain sustained innovation may reconsider the chair tenure. Given that many proposals for board governance reform explicitly stress the importance of limiting board tenure, this study contributes to policymakers by providing evidence in support of these proposals.

This chapter investigated tendering in stealth construction, emphasising innovative approaches and methodologies that prioritise environmental protection, safety, efficiency, and aesthetics. It began with an overview of the construction industry’s tendering processes, followed by an in-depth examination of various tendering types, including competitive and negotiated methods. The study highlighted contemporary trends such as electronic tendering, Building Information Modelling (BIM), green and sustainable procurement, risk management, data analytics, artificial intelligence, lean construction practices, and blockchain technology. Moreover, with a specific focus on stealth construction, the chapter further analysed certain criteria, including building cross-section development, visibility, radio frequency emission, and countermeasures. It explored integrating functional construction systems, including environmental, safety, health, and quality management. Additionally, it discussed methods like green building, modular construction, and low-impact techniques. Lastly, the chapter emphasised the strategies to achieve environmental protection, safety, speed, economy, and aesthetics in tendering for stealth construction.

This paper aims to explore the extent of corporate social responsibility disclosure (hereafter CSRD) in Jordan and also examine whether ownership structure, board of directors and audit committee characteristics influence CSRD.

The extent of CSRD is measured by constructing a CSRD index for industrial firms listed on the Amman Stock Exchange from 2016 to 2021. Panel regression analysis is used to examine the potential effect of ownership structure, board of directors and audit committee on the level of CSRD.

This study provides empirical evidence that diverse groups of shareholders have different effects on CSR engagement, and board characteristics (board size, board independence and gender diversity) play a vital role in increasing voluntary disclosure, including CSR information. There is no evidence to support that CSRD is influenced by audit committee characteristics.

This study recommends that corporate regulators and policymakers can improve CSRD practices by expanding the scope of existing disclosure requirements related to CSR and developing a structured CSRD index to measure the degree of CSRD practices for comparative purposes. Encourage firms to actively participate in social responsibility programs by granting tax incentives and government facilities to firms with the best CSR reports. Policymakers should introduce initiatives that support female’s representation on board. Finally, firms should restructure their boards by increasing board size and the percentage of independent directors to enhance their effectiveness to support CSRD.

This paper contributes further insights into the literature on CSRD practices and disclosure by analyzing data from developing market contexts.

This paper aims to study how corporate governance and country-related contextual factors affect the relationship between board gender diversity and environmental, social and governance (ESG) disclosure in its components: governance, social and environmental.

Using ordinary least-squares and two-stage least squares (2SLS) regressions, and retrieving ESG disclosure data from Bloomberg’s database, the paper analyses a sample of European nonfinancial listed firms (1,935 firm-year observations) over the period 2014–2022. The study adopts board independence and board cultural diversity as structural and demographic board attributes that characterize the corporate governance environment in which female directors operate; the enforcement of law and gender equality as country-related institutional and cultural factors.

Results suggest that female directors may substitute board independence in improving ESG and governance disclosure, whilst they co-occur with board cultural diversity in increasing ESG, governance and social disclosure. Findings indicate that the enforcement of law increases the positive effect of female directors on environmental disclosure and lowers the impact on governance disclosure. Conversely, a more gender-equal environment enhances female directors’ engagement in improving governance disclosure, reducing their beneficial effect on environmental information.

This study contributes to the literature suggesting that structural and other demographic board contextual aspects, as well as institutional and cultural country-related contextual factors, affect the relationship between board gender diversity and ESG disclosure differently and the effect may vary depending on ESG disclosure.

Determining the suitable material and accurate thickness of the thermal insulation layer used in exterior walls during the design phase of a building can be challenging. This study aims to determine suitable material and optimum thickness for the insulation layer considering both operational and embodied factors by a comprehensive assessment of the energy, economic and environmental (3E) parameters.

First, the energy model of an existing building was created by using Autodesk Revit software according to the as-built floor layout to evaluate the impact of five alternative insulating materials in varying thickness values. Second, using the results derived from the model, a thorough evaluation was conducted to ascertain the optimal insulation material and thickness through individual analysis of 3E factors, followed by a comprehensive analysis considering the three aforementioned factors simultaneously.

The findings indicated that polyurethane with 13 cm thickness, rockwool with 10 cm thickness and EPS with 20 cm thickness were the best states based on energy consumption, cost and environmental footprint, respectively. After completing the 3E investigation, the 15-cm-thick mineral wool insulation was presented as the ideal state.

This study explores how suitable material and thickness of insulating material can be determined in advance during the design phase of a building, which is a lot more accurate and cost-effective than applying insulating materials by assumed thickness in the construction phase.

To the best of the authors’ knowledge, this paper is unique in investigating the advantages of using thermally insulating materials in the context of a mosque structure, taking into account its distinctive attributes that deviate from those of typical buildings. Furthermore, there has been no prior analysis of the cost and sustainability implications of these materials concerning the characteristics of subtropical monsoon climate.

Everyone is extremely concerned about environmental protection and health safety due to the rise in living standards. Plant-derived natural dyes have garnered much industrial attention in food, pharmaceutical, textile, cosmetics, etc. owing to their health and environmental benefits. The present study aims to focus on the elimination of the use of synthetic dyes and provides brief information about natural dyes, their sources, extraction procedures with characterization and various advantages and disadvantages.

In producing natural colors, extraction and purification are essential steps. Various conventional methods used till date have a low yield, as these consume a lot of solvent volume, time, labor and energy or may destroy the coloring behavior of the actual molecules. The establishment of proper characterization and certification protocols for natural dyes would improve the yielding of natural dyes and benefit both producers and users.

However, scientists have found modern extraction methods to obtain maximum color yield. They are also modifying the fabric surface to appraise its uptake behavior of color. Various extraction techniques such as solvent, aqueous, enzymatic and fermentation and extraction with microwave or ultrasonic energy, supercritical fluid extraction and alkaline or acid extraction are currently available for these natural dyes and are summarized in the present review article.

If natural dye availability can be increased by the different extraction measures and the cost of purified dyes can be brought down with a proper certification mechanism, there is a wide scope for the adoption of these dyes by small-scale dyeing units.

This study aims to explore the factors that influence the development of big data analytics capabilities (BDAC) in organizations, an area that has received limited attention in the academic literature.

Employing partial least squares structural equation modeling, this research scrutinizes the interconnections between various antecedents and BDAC. Notably, it examines the mediating roles of organizational culture (OC) and digital maturity (DM) in the nexus between managerial data orientation and BDAC.

Analysis indicates that OC and DM play crucial roles in enhancing the efficacy of managerial data orientation on BDAC. The sequential mediation by these factors underscores the importance of nurturing an appropriate OC and advancing DM to optimize the benefits of managerial data orientation towards BDAC.

The findings bear significant implications for organizational practice. They underscore the necessity of enhancing managerial analytical skills and commitment to digital transformation. Furthermore, the study highlights the critical need for aligning OC with strategic objectives and the digital context. The formulation of a cultural strategy that advocates for a data-driven mindset and champions digital initiatives is essential for fostering BDAC development, thereby bolstering organizational performance and competitiveness in the big data era.

This study enriches the body of literature by illuminating the overlooked antecedents of BDAC. It extends the discourse on the human-centric aspects of digital transformation, offering insights into how managerial data orientation can be effectively translated into improved BDAC. This innovative angle deepens our comprehension of the strategies through which organizations can leverage big data technology for value creation and informed decision-making, emphasizing the pivotal role of OC and the requisite digital competencies and resources.

Generative artificial intelligence (GenAI) is one of the most diffused AI technologies, capable of generating manifold forms of content, including music, text, images and synthetic data. The purpose of this study is to analyze the determinants that affect GenAI acceptance and its outcomes on both the explorative and exploitative forms of innovation.

The study employs a conceptual framework based on the technology-organization-environment (TOE) paradigm. Through Smart-PLS analysis, it examines empirical data retrieved from an online survey where 302 manufacturing companies took part.

It is found that GenAI has the potential to facilitate both exploratory and exploitative innovation, particularly via the moderating effect of environmental dynamism. Hence the adoption of GenAI has potential to improve organizational performance.

The study is the first empirical project to investigate factors that influence manufacturing firms' adoption of GenAI. As the first project to have integrated the TOE paradigm when examining the impact of environmental dynamism on exploratory and exploitative innovation, the study emphasizes the double innovation potential of GenAI in organizational performance improvement.

To meet environmental performance (EP) goals, this study aims to identify the complex interaction between green Industrial Internet of Things (GIIoT), circular economic practices (CEPs) and dynamic capabilities (DC). This study analyzes how technological, operational and cultural compatibilities enhance GIIoT adoption.

Data were collected from diverse Chinese manufacturing firms (n = 339) through a quantitative survey. The research model was proposed, and hypotheses were tested using structural equation modeling. Moreover, the robustness of the structural model is further tested using Fuzzy Set Qualitative Comparative Analysis and importance performance map analysis.

The empirical results indicate that higher organizational compatibilities boost GIIoT adoption and EP. DC was assessed as a higher-order construct to examine its mediation of GIIoT adoption and EP. DC positively mediates GIIoT adoption-EP. Similarly, CEP’s positive impact on EP, partially mediating the relationship between GIIoT adoption and EP, has also been proved.

This research bridges current understanding and contributes useful insights for fostering environmental sustainability inside manufacturing firms and advances the theoretical understanding of technology adoption, sustainable development and dynamic capacity theory. It illuminates the way forward to harmonize and successfully integrate technology, CEP and EP. This research advances the area and gives decision-makers practical advice for creating sustainable and technologically sophisticated organizations.