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The purpose of this study is to highlight the threats related to the utilization of synthetic fibers. Volatile organic compounds, particulates and acid gases are released during the production of polyester and other synthetic textiles. Polyester is problematic solid waste material as it takes centuries to break down and hence causes microplastic pollution. Biodegradable synthetic solutions for the replacement of polyester are a sustainable business marketing these days. The naNia fiber is the breakthrough product and it is claimed a biodegradable, compostable and toxin-free polymer.

In this research, fabric constructed of naNia fiber was dyed with the extract of naturally occurring Lawsonia inermis (henna) plant leaves. The henna dye was extracted in water and ethanol using different methods, and the better extract was selected by the evaluation of ultraviolet-visible spectroscopy and phytochemical analysis. Henna with ethanol extract showed more desirable results hence it was selected to dye naNia fabric. To improve dyeability, premordanting, simultaneous mordanting and postmordanting were done using chitosan, fresh lemon extract and tannic acid, respectively. The dyed fabric samples were subjected to color strength analysis and multiple colorfastness tests.

The colorfastness test has shown good to excellent results. Scanning electron microscope analysis had also shown the attachment of dye molecules to the filaments. This study revealed that henna dye is appropriate to color naNia fiber even without the aid of a mordant.

For the first time, toxicant-free, biodegradable polyester (naNia) is successfully dyed with sustainable and naturally available dyes and mordants.

Researchers have widely explored and associated corporate social responsibility with firm success. Measuring the relationship between corporate social responsibility (CSR), service quality, corporate reputation, and brand preference by drawing on the stakeholder theory in healthcare industry and developing countries remains a substantial research gap.

Based on quantitative research and convenience sampling, data for the study were collected from 320 patients who have undergone treatments in 5 different private hospitals in Tehran, Iran. We analyzed the data using the Smart PLS 3.0 structural equation modeling technique.

The survey revealed that service quality and CSR are positively linked with corporate reputation, leading to brand preference in the healthcare sector. In addition, the mediating role of brand reputation in the relationship between corporate social responsibility, service quality and brand preference were confirmed.

The survey was performed in the context of the healthcare industry; however, additional studies are necessary to extrapolate the results to other fields, such as education and food. This research helps guide policymakers, administrators, healthcare managers, and researchers by highlighting the contribution and role of service quality, corporate social responsibility, and corporate reputation in achieving a hospital’s performance.

To the best of the authors’ knowledge, this study also extends research in the diverse literature by examining the relationship between CSR, service quality, corporate reputation, and brand preference by illustrating the stakeholder theory in the context of the healthcare sector.

This study aims to analyze the critical factors affecting workplace well-being at construction sites across countries with different income levels. Accordingly, this study’s objectives are to identify: critical factors affecting workplace well-being at construction sites in low-, lower-middle-, upper-middle- and high-income countries, overlapping critical factors across countries with different income levels and agreements on the critical factors across countries with different income levels.

This study identified 19 factors affecting workplace well-being using a systematic literature review and interviews with construction industry professionals. Subsequently, the factors were inserted into a questionnaire survey and distributed among construction industry professionals across Yemen, Zimbabwe, Malaysia and Saudi Arabia, receiving 110, 169, 335 and 193 responses. The collected data were analyzed using descriptive and inferential statistics, including mean, normalized value, overlap analysis and agreement analysis.

This study identified 16 critical factors across all income levels. From those, 3 critical factors overlap across all countries (communication between workers, general safety and health monitoring and timeline of salary payment). Also, 3 critical factors (salary package, working environment and working hours) overlap across low-, low-middle and upper-middle-income countries, and 1 critical factor (project leadership) overlaps across low-middle, upper-middle and high-income countries. The agreements are inclined to be compatible between low- and low-middle-income, and between low- and high-income countries. However, agreements are incompatible across the remaining countries.

This study can serve as a standard for maintaining satisfactory workplace well-being at construction sites.

To the best of the authors’ knowledge, this study is the first attempt to analyze factors affecting workplace well-being at construction sites across countries with different income levels.

The purpose of this study is to examine the dynamic relationship between intellectual capital (IC) and its components on financial performance of banks within the selected eight countries of Association of Southeast Asian Nations (ASEAN).

The study utilizes the balanced panel data of 37 publicly listed banks from eight leading ASEAN economies for the period of 2017–2021. In this sense, the authors applied the Ante Pulic's typology, i.e. value-added intellectual coefficient (VAIC™) to evaluate the efficiency of intangible and tangible assets. While, investigating the dynamic nature of relationship, the authors employed the generalized system method of moments because of its power to account for the problem of endogeneity and heteroscedasticity.

The results of the study demonstrate that banks in ASEAN countries shed a varied degree of a spotlight on VAIC™ and its components to create value. The findings revealed that structural capital efficiency is significantly associated with earning per share (EPS), return on assets (ROA) and return on equity (ROE), compared to human capital efficiency (HCE) and capital employed efficiency of ASEAN banks. These results endorse the importance of resource- and knowledge-based views of organizations to leverage the financial performance of banks. However, contrary to theoretical expectations, this study found no positive relationship between HCE with ROA and ROE. Whereas, the relationship of VAIC™ is positive and significant with EPS and ROE but it remains statistically very marginal.

There are some inherent limitations in this study that could be opportunities for future research. The current study uses the VAIC™ typology, but future researchers can use the modified value-added intellectual coefficient (MVAIC) or triangulation approach to enhance the validity and reliability of the study. Additionally, future research can investigate the similarities and differences among countries in terms of their cultural backgrounds and regulatory frameworks regarding the disclosure of intangibles. Furthermore, future research can increase the length and sample size of the study to enhance its generalizability.

The robust empirical findings extend the academic debate on IC by unveiling the dynamic nature of relationship between IC and financial performance in context of ASEAN banking sector. The findings provide plausible recommendations for policy makers (managers, regulators and stakeholders) to understand how to increase the IC efficiently, especially human capital as a source to evaluate the firms’ ability in determining value-added and financial performance. Further, findings of this study also suggest that how can policy makers get the benefit by investing more on structural capital as a valuable strategic source to guarantee the optimal performance returns.

Prior studies on IC have been country- and firm-specific, utilizing cross-sectional research designs. However, this research contributes to the limited literature by investigating the dynamic nature of the relationship between IC and financial performance of banks in the context of ASEAN countries using micro-panel data.

The purpose of this study is to investigate the effects of resource use and environmental innovation on firms’ financial costs.

The sample consists of 2,588 firm-year observations from 647 companies collected from Thomson Reuters over a five-year period (year 2014 to year 2018). The authors analyze the data using panel-corrected standard errors, which corrects heteroskedasticity issues and contemporaneous error in the data. Further, the authors adopt cluster analysis based on the year and industry. The authors also adopt the generalized method of moments and two-stage least squares regression to check for endogeneity issues and validate the findings.

The findings generally indicate that resource use is negatively associated with firms’ cost of capital. Firms’ engagement with operational activities improves savings in the usage of resources, but environmental innovation is found to be positively associated with the cost of capital. This may be attributable to higher capital investment, stringent risk assessment and third-party assurance associated with firms’ environmental innovation.

The findings urge regulators, practitioners and stakeholders to engage in more dialogues to reduce the costs associated with environmental sustainability innovation. This may be in the form of new technologies, energy-saving products, waste recycling and green innovations. Government intervention via greater infrastructure, tax incentives and regulatory reform may support the growth of innovation in emerging market economies.

Efforts are needed to encourage a dynamic, innovative and entrepreneurial mindset among the people living in emerging countries. Also, government regulatory reform is imperative in encouraging innovations in the environmental, social and governance ecosystem.

The effect on society would be in the form of a new product innovation that creates better living standards and environments for the communities.

To the best of the authors’ knowledge, this is one of the few studies that focuses on the impact of firms’ resource use and environmental innovativeness and its implications on business financial costs in both emerging and developed markets.

This study investigates healthcare administration students’ perspectives on integrating artificial intelligence (AI) in fluid healthcare work environments, focusing on its potential impact on future healthcare practices.

The research utilizes a mixed-methods strategy, combining quantitative surveys and qualitative interviews to collect data from healthcare administration students at a mid-sized urban university. This comprehensive approach allows for an in-depth analysis of students’ understanding of, attitudes toward and expectations of AI in healthcare settings.

Results reveal that students have a nuanced understanding of AI’s capabilities to enhance healthcare operations and patient care, showcasing readiness to adopt these technologies. Nonetheless, there are significant concerns about job security and the depersonalization of care with the integration of AI. The study highlights the critical need for healthcare curricula to evolve to incorporate AI training that equips future professionals to use these technologies in increasingly flexible work settings.

This research offers new perspectives on how future healthcare professionals view AI integration within evolving work arrangements. It emphasized the need for educational institutions to update and adapt educational frameworks to prepare a workforce that can effectively navigate the challenges and opportunities presented by AI in the healthcare sector. This is particularly relevant in fluid work dynamics, where adaptability and responsiveness are key.

This study explores the spatial and temporal relationship between tourism activities and transportation-related carbon dioxide (CO₂) emissions in the United States (US) from 2003 to 2022 using advanced geospatial modeling techniques.

The research integrated geographic information systems (GIS) to map tourist attractions against high-resolution annual emissions data. The analysis covered 3,108 US counties, focusing on county-level attraction densities and annual on-road CO₂ emission patterns. Advanced spatial analysis techniques, including bivariate mapping and local bivariate relationship testing, were employed to assess potential correlations.

The findings reveal limited evidence of significant associations between tourism activities and transportation-based CO₂ emissions around major urban centers, with decreases observed in Eastern states and the Midwest, particularly in non-coastal areas, from 2003 to 2022. Most counties (86.03%) show no statistically significant relationship between changes in tourism density and on-road CO₂ emissions. However, 1.90% of counties show a positive linear relationship, 2.64% a negative linear relationship, 0.29% a concave relationship, 1.61% a convex relationship and 7.63% a complex, undefined relationship. Despite this, the 110% national growth in tourism output and resource consumption from 2003–2022 raises potential sustainability concerns.

To tackle sustainability issues in tourism, policymakers and stakeholders can integrate emissions accounting, climate modeling and sustainability governance. Effective interventions are vital for balancing tourism demands with climate resilience efforts promoting social equity and environmental justice.

This study’s innovative application of geospatial modeling and comprehensive spatial analysis provides new insights into the complex relationship between tourism activities and CO₂ emissions. The research highlights the challenges in isolating tourism’s specific impacts on emissions and underscores the need for more granular geographic assessments or comprehensive emission inventories to fully understand tourism’s environmental footprint.

Ensuring energy security and controlling the share of energy in climate change are the two main challenges of the energy sector in the path of a sustainable future. This study has designed the dynamic model of Iran’s electrical energy supply system based on the water-food-energy-climate change nexus in order to identify sustainable policies for the supply of electrical energy resources and adaptation to Iran’s climate change process.

For this purpose, first, the system dynamics model was designed with the participation of policymakers and the supply and demand data of water-food-energy resources and the trend of climate change and economic growth in Iran. After validation, the model is simulated in the 30-year horizon (2020–2050), and according to the results of the Monte Carlo sensitivity analysis, Iran’s electric energy supply policies are based on four strategies, including (1) Electric energy supply based on electric energy supply management from non-renewable sources, (2) Development of electrical energy supply based on management of energy supply from renewable sources, (3) Electrical energy supply based on electrical energy demand management and (4) Electrical energy supply based on adaptation to climate changes. By identifying and applying the policies of each strategy separately, the model was tested and the results were compared.

Based on the implementation of the combination of selected policies in the model, the following policies have been proposed: 16% development of nuclear power plants, 18% reduction in the ratio of production of gas power plants to the total production of non-renewable power plants, and an increase in the production of combined cycle power plants through conversion of gas to combined cycle, energy aggregation and development of heat recovery systems in industrial units by 32%, a decrease of 5% Energy transmission and distribution losses, per capita reduction of energy consumption from 0.926 to the global average of 0.182 (MW) per year, management of water demand in the food sector by increasing irrigation efficiency to about 85%, a 27% increase in the area of land under the irrigation network, and reducing losses Food amounting to the global average of 0.9 m tons per year.

The proposed model is an application of system dynamics in the field of policymaking to ensure the security of electrical energy resources, taking into account the water-food-energy-climate changes nexus. The model is a valuable tool for policymakers in planning the sustainable management of resources in the path of adapting to climate change.

This study examines how street food affects urban culture, economics and sustainable tourism. It examines how street food stands, as a cultural and economic phenomenon, influence consumer behaviour and local traditions, particularly in Oman’s evolving street food scene.

Adopting a quantitative research design, this study utilises an integrated model combining the Stimulus-Organism-Response (S-O-R) and Attitude-Social-Influence-Efficacy (ASE) models. This approach facilitates a comprehensive analysis of the factors influencing consumer behaviour towards street food consumption. The methodology includes surveys and structured interviews with consumers and vendors to assess perceptions, attitudes and behaviours linked to street food in Oman.

The research identifies key sociocultural, economic and marketing factors that significantly influence consumer engagement with street food. It highlights how traditional elements, such as local customs and societal norms, interplay with contemporary marketing strategies to shape consumer preferences and experiences. The findings suggest that street food not only enhances the culinary experience for travellers but also plays a crucial role in the sustainable development of local tourism economies.

This study contributes to the existing literature by providing a novel empirical exploration of street food consumption in Oman, a relatively underexplored area within tourism research. It offers valuable insights into how street food can be leveraged to bolster local economies and enrich the tourist experience through sustainable practices. By integrating the S-O-R and ASE models, this research provides a unique framework for understanding the dynamic relationship between street food culture and consumer behaviour in a Middle Eastern context.

The purpose of this study is to evaluate the effect of both positive and negative corporate cultures on employee performance in Saudi Arabia, in the presence of performance reviews and factors leading to positive work culture, in an environment that underwent serious modification with COVID-19. The changing work methods (online, remote, etc.) have left their mark necessitating revisiting the needs and capabilities of employees in the work environment.

This quantitative study uses primary data from small and medium-sized enterprises (SMEs), non-profit organizations, and transnational organizations, in their transient role and influence on organizational culture change. The data set includes 311 usable responses from 50 randomly selected organizations and is analysed using structural equation modelling to test the proposed model.

A healthy corporate culture serves as the basis for increased employee performance in the workplace. The three independent variables, availability of negative culture, availability of positive culture and employee perceived performance, have a positive impact on the dependent variable employee perceived effectiveness of performance reviews; however, factors leading to the development of a positive organizational has a negative influence.

This study faced a limitation with the potential similarity of responses due to the large number of same-background respondents (engineers). However, the results are indicative of a trend. Moreover, the responses did not allow for cross comparison between responding organizational types (SMEs, non-governmental organizations and multinational corporations) as was planned.

Managers should motivate their respective employees, through ensuring the diffusion and sustainability of the right culture work environment. This should allow their teams to complete tasks with little or no supervision. Moreover, as the Saudi economy is gearing up for global competitiveness, this performance culture becomes a key for the success of the strategic plans, thus the high importance of the positive culture at work today.

Understanding the importance of positive and negative culture at the managerial level would affect the relationship with employees and improve work environment and job satisfaction.

This study pinpoints the need to revisit a dimming topic, proving that with the end of the COVID-19 pandemic, managers need to go back to square one. The introduction of the many novel work systems, online, remote work, etc. have changed the work setting and environment. This is requiring a new look at the employees’ perceptions on factors influencing corporate culture and performance.