{"title":"Appraisal model on how accounting data analytics impacts public sector sustainability reporting","authors":"Pham Quang Huy, Vu Kien Phuc","doi":"10.1016/j.sftr.2024.100295","DOIUrl":null,"url":null,"abstract":"<div><p>The current manuscript establishes and validates a conceptual framework that focuses on the correlation between accounting data analytics (ADA) and the quality of digital sustainability reporting (QDSR). Moreover, it aims to examine how the sustainable green internal control system (SGICS) facilitates the relationship between ADA and QDSR. The current manuscript employed a three-pronged methodology comprising of expert interviews, a literature review, and a self-administered survey, in sequential sequence. To determine the measuring scales and relevant concerns, the qualitative methodology originally involved conducting several semi-structured interviews with specialists and doing a thorough examination of the relevant literature. In the quantitative phase, statistical data were collected by two-wave paper-and-pencil surveys given to respondents in Vietnamese public sector organizations. The survey was conducted using a snowball and convenience sampling method. The data analysis was conducted utilizing the Partial Least Squares Structural Equation Modeling (PLS-SEM) technique with the assistance of SmartPLS 4.1.0.3. The statistical results validated the significantly positive connection between ADA and QDSR. This link was partially mediated by SGICS.</p></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"8 ","pages":"Article 100295"},"PeriodicalIF":3.3000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666188824001448/pdfft?md5=387557629d8a85d5bbe7eb3f805f5bfd&pid=1-s2.0-S2666188824001448-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Futures","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666188824001448","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
The current manuscript establishes and validates a conceptual framework that focuses on the correlation between accounting data analytics (ADA) and the quality of digital sustainability reporting (QDSR). Moreover, it aims to examine how the sustainable green internal control system (SGICS) facilitates the relationship between ADA and QDSR. The current manuscript employed a three-pronged methodology comprising of expert interviews, a literature review, and a self-administered survey, in sequential sequence. To determine the measuring scales and relevant concerns, the qualitative methodology originally involved conducting several semi-structured interviews with specialists and doing a thorough examination of the relevant literature. In the quantitative phase, statistical data were collected by two-wave paper-and-pencil surveys given to respondents in Vietnamese public sector organizations. The survey was conducted using a snowball and convenience sampling method. The data analysis was conducted utilizing the Partial Least Squares Structural Equation Modeling (PLS-SEM) technique with the assistance of SmartPLS 4.1.0.3. The statistical results validated the significantly positive connection between ADA and QDSR. This link was partially mediated by SGICS.
期刊介绍:
Sustainable Futures: is a journal focused on the intersection of sustainability, environment and technology from various disciplines in social sciences, and their larger implications for corporation, government, education institutions, regions and society both at present and in the future. It provides an advanced platform for studies related to sustainability and sustainable development in society, economics, environment, and culture. The scope of the journal is broad and encourages interdisciplinary research, as well as welcoming theoretical and practical research from all methodological approaches.