Sep 2026· International Journal of Productivity and Performance Management· Vol 75, pp. 199-239· 0 citations· 104 references
TL;DR
The study demonstrates that artificial intelligence (AI) is developing intelligent devices and processes that analyse large datasets to identify patterns, verify and report on organisational activity, enabling real-time decision-making, thus highlighting significant gaps in the literature.
Abstract
The research aims to identify the practical benefits of implementing Digital Technologies (DTs) and the Circular Economy (CE) for Sustainable Development (SD) by enabling informed decision-making.
The research consists of 148 articles, including quantitative (61), qualitative (52) and literature review studies (35), covering various fields such as ecology, supply chain management, marketing and circular business models, sourced from WOS, Scopus and Direct Science. Science-mapping techniques have been employed to analyse citations in published articles, measure their impact and identify leading and emerging trends in the literature.
The study demonstrates that artificial intelligence (AI) is developing intelligent devices and processes that analyse large datasets to identify patterns, verify and report on organisational activity, enabling real-time decision-making. Furthermore, companies that excel in CE principles – a system focused on minimising waste and making the most of resources – are more likely to engage with Industry 4.0, which refers to the integration of DTs such as the Internet of Things (IoT), automation and data exchange in manufacturing. This subsequently results in improved financial outcomes and more rational decision-making. In addition, the research highlights limited connections within Industry 5.0 – an industry phase emphasising collaboration between humans and machines – with a particular focus on CE and SD.
This research provides a unique overview in exploring DTs and CE across environmental performance, financial metrics, accounting relationships and the impact of computer-based analysis on decision-making, thus highlighting significant gaps in the literature. Moreover, this study offers practitioners interesting insights to improve financial outcomes, resource use, DT and CE adoption and decision-making processes.
This study aims to analyze the development of circular economy capabilities and explain the driving factors, organizational capabilities, circular practices, and sustainability outcomes that are relevant to Micro, Small, and Medium Enterprises (MSMEs). The research uses a Systematic Literature Review (SLR) combined wit...
The urgency for sustainable global development has intensified in recent years, with increased focus on the need for accelerated actions towards identifying and implementing sustainable solutions. Circular economy (CE) strategies are critical in achieving these goals, and digital technology development is a key enabler...
M. F. Rodriguez Romo, P. Ghadimi, N. Papakostas et al.· IISE Annual Conference &...· 0 citations
This study examines the evolution and intellectual structure of research on sustainable digital transformation in business systems, focusing on key trends, thematic clusters, and emerging directions at the intersection of digitalization and sustainability. A bibliometric analysis was conducted using data extracted from...
Maria Loredana Popescu, Ion Mihai Troacă, Flavius Constantin Nedelcea et al.· New Trends in Sustainable Bu...· 0 citations
Sustainable procurement (SP) has emerged as a strategic mechanism for integrating environmental, social, and economic considerations into organizational decision-making. This study aims to synthesize and analyze the intellectual and thematic development of SP research through a systematic literature review (SLR) combin...
Irfan Veryanto, M. Ulkhaq, H. Prastawa· ITEGAM- Journal of Engineeri...· 0 citations
The transition from a linear economic model to a circular economy (CE) is vital
for sustainable development, climate mitigation, and resource resilience. Industry 4.0
digital technologies (DTs), as the Internet of Things (IoT), Artificial Intelligence (AI), Big
Data analytics, and block-chain are increasingly recognize...
M. Šestić, Mirha Bičo Ćar, Anes Hrnjić et al.· SMART MANUFACTURING ON THE H...· 0 citations
The results show that Digital Intensity significantly and positively influences financial, environmental, and social performance (SP), highlighting its role as a primary driver of SME sustainability, and underline the need for prioritising investment in digital tools and skills.
R. K. Letshaba, Lebogang Mosupye-Semenya· South African Journal of Bus...· 0 citations
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