This research explores the significance of sustainability development through the role of environmental disclosure in Jordanian ministries and government departments by focusing on ministries and government departments that are related with the environment. This research presents the relationship between the environmental disclosure in annual reports and its impact on the overall environmental performance in Jordan, with the use of a mixed approach that will provide better quality of research results. The quantitative approach was used to examine the budgets of 22 ministries and government departments. The study was conducted using the time series from 2006 to 2015. The qualitative approach was conducted to raise the issues related to the subject that are not looked at in the quantitative study and to understand the perception of respondents in the ministries and government departments on the factors and items included in annual reports affecting of environmental disclosure and environmental performance in Jordanian governments. The results show a significant relationship between environmental disclosure and environmental performance in Jordanian government. The findings of this paper present new implications for theorists and practitioners of sustainability development by presenting the importance of the impact of environmental disclosure in the ministries and departments and its relationship on environmental performance of the Jordanian government.

The study aim is to examine the impact of industry 4.0 on sustainability of industrial organizations in Jordan. The population of the study consists of employees at various administrative levels of industrial organizations in Jordan. Due to the large population and the spatial and temporal limitations of the research, it was difficult to collect data using the comprehensive method. Therefore, the random sampling method was applied to collect data from the research population. The structural equation modeling (SEM) technique was used to test the impact of industry 4.0 dimensions on sustainability. The study results confirmed that all dimensions of industry 4.0 had an impact on sustainability. The greatest effect was for cyber-physical systems. Based on this result, researchers recommend the management of industrial organizations to invest in information technology to provide a large variety of data in a very short time and providing appropriate programs for analyzing big data and producing accurate and reliable information that can be used by employees.

Presently, attaining sustainability in construction activities by integrating environmental, social, and financial viewpoints, is one of the most difficult objectives for firms, so adopting and implementing sustainable project management (SPM) is fundamental in countering this challenge. Therefore, this present study uses institutional theory to analyze how external factors such as isomorphic pressures contribute to the adoption and implementation of SPM in a developing country. Using a survey research strategy with self-administered questionnaires, data were obtained from 641 construction firms in Ghana. Partial Least Squares Structural Equation Modeling (PLS-SEM) approach was utilized to analyze the measurement and structural model. The outcomes suggest that isomorphic pressures are positively related to SPM with mimetic pressures asserting more impact and coercive pressures with the least influence. These findings offer construction professionals and policymakers important new perspectives that will help them to promote SPM so as to accomplish the Sustainable Development Goals.

The construction industry is acknowledged as one of the major primary energy consumers and contributors to global environmental emissions. To this end, proper selection of building materials is imperative to maintain the sustainability of a built environment. This research study proposed a building information modeling-based framework for lifecycle assessment of building materials in Saudi Arabia. Both Autodesk Revit and Autodesk Quantity Takeoff were adopted to define building materials, components, and their quantities. In addition, Athena Impact Estimator and Ecotect® Analysis software were leveraged to conduct thorough environmental impact assessment and energy simulation of building materials. The conducted lifecycle impact assessment tackled project phases of site preparation, construction, use, and demolition. The environmental dimensions of energy consumption, global warming, air emissions, land emissions, and water emissions were also explored. The capabilities of the developed model were tested using a case study of a college building in Saudi Arabia. The findings from this study can assist in the selection of environmentally friendly building materials that can be employed in Saudi Arabia’s construction market.

Increasing in attentions to the environment, city legislative and social problems make companies change their prospects towards supply chain management and design sustainable transportation networks. In this paper, two-stage problem have been investigated in which the transportation stage is considered before Location-Routing Problem, so we call it Transportation-Location-Routing Problem (TLRP). It is an extension of the two-echelon Location-Routing Problem. In the first stage, there is a transportation problem with truck capacity limitation. Furthermore, customers’ time windows should be met in the second stage to make the mode more realistic. Minimization of distribution cost, fuel consumption, and carbon dioxide emission along with balancing the workloads for city drivers are considered as the objective functions of the mathematical model to design a sustainable distribution network. To tackle these conflicting objectives, Non-dominated Sorting Genetic Algorithm (NSGA-II) and Multi-Objective Particle Swarm Optimization (MOPSO) are applied to solve the problem. A new customized chromosome based on a priority based technique is presented for the problem. Due to the three comparison metrics for multi-objective problems, with tolerating a little more computational time, MOPSO has the better performance in this problem than NSGA-II.

There is an increase in awareness about sustainable manufacturing process. Manufacturing industries are backbone of a country’s economy. Although it is important but there is a great concern about consumption of resources and waste creation. The primary aim of this study was to explore sustainability concern in turning process in an Indian machining industry. The effect of cutting parameters, Speed/Feed/Depth of Cut, the machining environment, Dry/MQL/Wet, and the type of cutting tool on sustainability factors under study were observed. Analysis of Variance (ANOVA) was used to analyse the data obtained from experimentation in a small scale machining industry. The process is modelled mathematically using response surface methodology (RSM).The economic and environmental aspect like surface roughness, material removal rate and energy consumption were considered as sustainability factors. The model helps to understand the effect of the cutting parameters and conditions on surface finish, energy consumption, and material removal rate. The process was optimized for minimum power consumption considering environmental concern as prime importance. Studies suggest that the cutting environment and tool type influenced on the power consumption during turning process. Extended form of the proposed model could be useful to predict the environmental impact due to machining process, which would bring environmental concern into conventional machining.

As part of their corporate social responsibility (CSR) and sustainable products, many big players in the industry have now reduced plastic through the design, manufacturing and packaging of products and their ultimate disposal. This paper investigates the direct and indirect relationships between awareness, trust, and brand preference on purchase intention in green marketing. Based on a review of the literature, a series of hypotheses are derived and tested using regression analysis. The research employs an online survey-based method to test a theoretically grounded set of proposed hypotheses. The data were collected from 348 young adults living in Jakarta, Indonesia. The results show that green awareness does not influence purchase intention directly. On the other hand, the indirect effect of green awareness through green brand preference on purchase intention was greater compared with the indirect effect through green trust. Therefore, this study draws attention to the importance of green brand preference and green trust on purchase intention. Given that the consumption of organic products has the potential to elicit awareness, trust, and preference of eco-friendly consumers, these findings have significant management implications for corporate managers when considering the production of organic commodities.

This article provides a detailed analysis of the fast fashion (FF) supply chain, focusing on emerging trends and significant challenges. It aims to define fast fashion, identify current supply chain trends, and clarify sustainability issues across environmental, social, and economic areas. Using a systematic literature review, the study examines relevant research published from 2020 to 2025, drawing from various electronic sources. The findings highlight key trends, including increased transparency and traceability enabled by technologies such as blockchain and RFID, sustainable sourcing practices, and greater digitalization and collaboration among stakeholders. However, it also underscores urgent environmental issues, such as water contamination and carbon emissions, as well as social concerns, like worker exploitation, and economic issues, such as overproduction. Technological challenges, such as infrastructure upgrades and resistance to change, are also addressed. The paper recommends that future research explore innovative business models, such as ultra-fast fashion, to better align with consumer preferences and address overproduction. While offering extensive insights into fast-fashion trends and sustainability issues, the study acknowledges some limitations in the scope of innovative business ideas. Practical implications underscore the importance of advanced technologies to improve supply chain transparency and reduce environmental impacts, advocating strategic shifts toward sustainable sourcing and circular-economy principles. Overall, this systematic review consolidates key data on the fast-fashion industry's supply chain, providing valuable insights for stakeholders seeking to adopt more sustainable and fairer practices.

Malaysia’s food industry is facing escalating pressure from rising population demands, resource scarcity, and the mounting effects of climate change. As agriculture remains vital to national food security and economic stability, managing its environmental footprint—particularly CO₂ emissions—has become an urgent priority. Despite growing global attention to sustainability, limited empirical research has explored how internal organizational dynamics and energy transition efforts influence emissions outcomes in the Malaysian context. This study aims to address this gap by examining the effects of agriculture industry operations, renewable energy consumption, and government initiatives on CO₂ emissions management, with organizational perception acting as a mediating factor. Using Partial Least Squares Structural Equation Modeling (PLS-SEM) on pilot survey data from food industry stakeholders, the findings highlight that organizational perception significantly mediates the relationship between renewable energy consumption and government initiatives on CO₂ emissions outcomes. While agricultural operations do not directly or indirectly influence emissions through organizational perception, both renewable energy use and proactive government policies foster a stronger environmental orientation within organizations—leading to improved emissions management. The study contributes to the discourse on sustainable development in emerging economies by emphasizing the critical role of organizational mindset in translating external sustainability drivers into tangible environmental outcomes. These insights offer practical implications for industry leaders and policymakers seeking to enhance sustainability strategies within Malaysia’s agri-food sector.

Sustainability is getting preference now-a-days in most of the countries in the world. This implies industrial and other developments for economic growth, and of course civilization, but certainly not at the cost of environmental degradation. Environmental conservation is a must. One of the major components of industrial sectors is their electrical energy inputs through electrical substation. Numerous research addresses the issue of energy pollution, cantering on fossil fuel. A very few research can be found which address the issue of pollution generated from electrical energy. This research addresses this issue, with special attention to electrical substations. In the last two or three decades, several electrical equipment manufacturers have started producing this equipment in Bangladesh, which were previously import-oriented. This equipment use various types of oils, acids, zinc and other metals, which are all environmentally hazardous. Thus, any industrial company, buying such equipment from substation manufacturers, should consider green aspects. As such, now it is of prime importance to select green suppliers of substation equipment. Since selection of right or green supplier involves multi-criteria evaluation, Multi-criteria Decision Making (MCDM) technique is essential. Additionally, both qualitative and quantitative criteria require fuzzy analysis to make it more precise and realistic. This research addressed the issue of environmental pollution, its sources, nature and severity, and their mitigation through selecting green suppliers.