Aug 2026· International Journal of Innovative Technology and Exploring Engineering· 0 citations· 25 references
Abstract
The purpose of this study is to advance knowledge for managers, policymakers, and researchers regarding the important key factors of successful Digital Transformation (DT) adoption, which can shed light on research gaps and help form a research agenda. A systematic literature review was conducted to analyse 26 peer-reviewed journal articles published between 2020 and 2025 from the Scopus, Emerald, Insight, Google Scholar, and ProQuest databases, following the PRISMA guidelines. Four DT adoption models, such as Diffusion of Innovation (DOI), Technology Acceptance Model (TAM), Task-Technology Fit (TTF), and Theory of Planned Behaviour (TPB), have been analysed to understand why people embrace DT either positively or negatively. According to the literature, the success factors for adopting DT have been identified. In addition, it is found that using only one DT adoption model does not ensure success. It is advisable to use an integrated multi-model or multiple frameworks for the theoretical adoption of DT. Using multiple frameworks makes DT adoption easier to understand. The Input-Process Output (IPO) schema allows consolidating the gaps in the present state and setting out the research agenda. The IPO schema can be considered a helpful tool for identifying research gaps and setting the research agenda, as well as for planning, decision-making, and policymaking.
An integrated conceptual framework is developed with the help of key findings and propositions that emerged from the selected studies to address specific research questions, find gaps and propose future research agendas.
Koustav Dakshit, Sachin Modgil, Rohan Mukherjee et al.· The TQM Journal· 0 citations
The findings indicate that leadership commitment and strategic alignment are the most consistently cited critical success factors for successful digital transformation and the Comprehensive digital transformation Success Model (CDTSM) is proposed, which integrates these CSFs into a structured framework encompassing the initiation, planning, execution, monitoring, and sustainability phases of digital transformation.
Behzad Salavati Tehrani, Carmen De-Pablos-Heredero· 0 citations
The implementation of ERP, cloud computing, blockchain, and AI enhances the quality, comparability, and transparency of accounting information, with effectiveness determined by governance readiness, institutional trust, and human resources, particularly among SMEs and the public sector in developing countries.
R. Safitri, Emylia Yuniarti, Sindy Elisia Husna et al.· 0 citations
The surge in research publications surrounding Quality 4.0 underscores the field’s growing significance. However, while the digitalization of quality management has been widely discussed, there remains a notable scarcity of in-depth research regarding the specific barriers and success factors for implementation. The existing investigations remain fragmented, indicating the need for more consolidated research. Thus, this study aims to systemize the main barriers and the success factors for effective implementation of Quality 4.0. A systematic literature review was conducted. A total of 18 empirical research papers published from 2017 to 2025 from Web of Science (WoS) and Scopus databases were reviewed using specific inclusion and exclusion criteria. The study provides a structured synthesis of the barriers and success factors identified in the implementation of Quality 4.0. The findings contribute to future research on factors influencing Quality 4.0 adoption and offer insights for stakeholders. Specifically, the results can support decision-makers in assessing implementation readiness by identifying potential barriers and evaluating whether critical success factors are in place.
Karolina Šūmakarienė, Renata Korsakienė· International Scientific Con...· 0 citations
The review synthesizes the performance improvements, operational efficiencies, and strategic advantages that stem from Q4.0 initiatives, providing a structured foundation for future research examining the strategic impact of digital quality management.
A systematic literature review was conducted, analyzing empirical research papers published between 2017 and 2025 retrieved from the Web of Science and Scopus databases and synthesizes the performance improvements, operational efficiencies, and strategic advantages that stem from Q4.0 initiatives.
Karolina Šūmakarienė, Renata Korsakienė· International Scientific Con...· 1 citation
Related blog posts
Microsoft Research Blog· microsoft.comSep 21, 2026
Custom-made molecules are advancing medicine, materials, and agriculture, but producing them is slow and expensive. A new Nature paper highlights RetroChimera, a predictive model that helps accelerate chemical synthesis, helping researchers explore a wide range of molecules. The post Improving synthesis prediction of small molecules at scale with RetroChimera appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduSep 14, 2026
The “HardFlow” algorithm could help generative AI models produce high-quality outputs that obey strict requirements when “pretty close” doesn’t cut it.
AI may appear weightless, but every model depends on physical infrastructure. To understand responsible AI, we need to look beyond algorithms and consider the entire lifecycle of the hardware behind them. The post Responsible AI Must Consider Its Afterlife appeared first on GPT-Lab.