• Energy Research

Websites become essential means for most universities to communicate, exchange of relevant information and enable transactions among their stakeholders. Therefore, website accessibility accessible website is crucial to students to ensure equal access to of the university’s information regardless of their physical disabilities and other possible limitations. This study reports the web accessibility of 20 Malaysian public universities based on AChecker and WAVE. The results suggest a relatively low level of compliance to the guidelines as specified in WCAG 2.0 and Section 508. Among the aspects that deserve immediate attention are the provision of text alternatives for any non-text contents, keyboard accessibility and colour contrast. Other concerns such as navigation, adaptability, input assistance, compatibility, empty link and empty heading can be further improved. Regardless of low conformance, most websites extensively integrated some of the accessibility features as set out by Section 508. Overall, this study offers meaningful insights, particularly to web developers for better compliance with the standards while designing their websites.

Websites become essential means for most universities to communicate, exchange of relevant information and enable transactions among their stakeholders. Therefore, website accessibility accessible website is crucial to students to ensure equal access to of the university’s information regardless of their physical disabilities and other possible limitations. This study reports the web accessibility of 20 Malaysian public universities based on AChecker and WAVE. The results suggest a relatively low level of compliance to the guidelines as specified in WCAG 2.0 and Section 508. Among the aspects that deserve immediate attention are the provision of text alternatives for any non-text contents, keyboard accessibility and colour contrast. Other concerns such as navigation, adaptability, input assistance, compatibility, empty link and empty heading can be further improved. Regardless of low conformance, most websites extensively integrated some of the accessibility features as set out by Section 508. Overall, this study offers meaningful insights, particularly to web developers for better compliance with the standards while designing their websites.

The "Green Manufacturing Research Corpus" is a meticulously curated dataset that comprises a comprehensive collection of documents dedicated to the domain of green manufacturing. This dataset was meticulously assembled through an extensive search, with a primary focus on documents delving into the intersection of green, sustainable, eco-friendly, and low-carbon practices within the manufacturing sector. Our search strategy involved utilizing a combination of keywords such as green, sustainable, environment, eco-friendly, clean, renewable, zero-waste, and low carbon, alongside the term manufacturing, all within the article titles. This precision ensured that the dataset exclusively features precise and pertinent articles directly tied to the subject of green manufacturing, as of March 6, 2023. In total, the initial search yielded an impressive 3,577 documents, encompassing a diverse array of articles exploring the convergence of green manufacturing with environmental and sustainability dimensions. This dataset forms the cornerstone for our systematic review, allowing us to furnish an authentic portrayal of the current state of the field. It also empowers us to identify emerging trends and confront existing challenges within the realm of green manufacturing. Moreover, we meticulously refined the dataset by excluding specific document types, thereby ensuring that our analysis predominantly centered on original research articles. Document categories excluded from the dataset encompassed review articles (148), conference reviews (39), errata (10), retracted articles (3), and reports (1). This scrupulous curation process culminated in a dataset of 3,376 original research articles. These articles served as the bedrock for our assessment of the present state of green manufacturing research, as well as the identification of key trends, challenges, and opportunities within the field. By relying on this rigorously assembled dataset, we assure that our analysis is firmly anchored in primary sources, capturing recent and relevant discoveries within the dynamic and evolving domain of green manufacturing. Note: This dataset consists of raw files sourced from Scopus. This dataset stands as a valuable resource for researchers, scholars, and policymakers with an interest in the dynamic and ever-evolving field of green manufacturing. It provides a comprehensive overview of the current research landscape, rendering it an indispensable tool for those seeking to gain insights into and contribute to the advancement of sustainable manufacturing practices.

The "Green Manufacturing Research Corpus" is a meticulously curated dataset that comprises a comprehensive collection of documents dedicated to the domain of green manufacturing. This dataset was meticulously assembled through an extensive search, with a primary focus on documents delving into the intersection of green, sustainable, eco-friendly, and low-carbon practices within the manufacturing sector. Our search strategy involved utilizing a combination of keywords such as green, sustainable, environment, eco-friendly, clean, renewable, zero-waste, and low carbon, alongside the term manufacturing, all within the article titles. This precision ensured that the dataset exclusively features precise and pertinent articles directly tied to the subject of green manufacturing, as of March 6, 2023. In total, the initial search yielded an impressive 3,577 documents, encompassing a diverse array of articles exploring the convergence of green manufacturing with environmental and sustainability dimensions. This dataset forms the cornerstone for our systematic review, allowing us to furnish an authentic portrayal of the current state of the field. It also empowers us to identify emerging trends and confront existing challenges within the realm of green manufacturing. Moreover, we meticulously refined the dataset by excluding specific document types, thereby ensuring that our analysis predominantly centered on original research articles. Document categories excluded from the dataset encompassed review articles (148), conference reviews (39), errata (10), retracted articles (3), and reports (1). This scrupulous curation process culminated in a dataset of 3,376 original research articles. These articles served as the bedrock for our assessment of the present state of green manufacturing research, as well as the identification of key trends, challenges, and opportunities within the field. By relying on this rigorously assembled dataset, we assure that our analysis is firmly anchored in primary sources, capturing recent and relevant discoveries within the dynamic and evolving domain of green manufacturing. Note: This dataset consists of raw files sourced from Scopus. This dataset stands as a valuable resource for researchers, scholars, and policymakers with an interest in the dynamic and ever-evolving field of green manufacturing. It provides a comprehensive overview of the current research landscape, rendering it an indispensable tool for those seeking to gain insights into and contribute to the advancement of sustainable manufacturing practices.