Nowadays, innovation is valued as being of utmost significance when evaluating measures of sustainable development and performance constructs. The current research develops investigations into the field of frugal innovation (FI) and how this process can contribute to business sustainability. This study performs a comprehensive evaluation of scientific production through the quantitative method of bibliometric analysis to facilitate our understanding of the current structure of studies and to highlight future research paths on FI and business sustainability. The paper maps the literature by narrowing its research topics and identifying certain patterns. Using the Web of Science database (WoS) on a sample of 2072 documents, descriptive and performance analyses were conducted. The VOSviewer software was used to perform the science mapping of the conceptual, intellectual, and social structure that provides scholars with a quantified and graphic representation of the FI and business sustainability field. The trend towards the analysis of business sustainability and consumer behaviour in the context of FI is highlighted. Annual scientific production and citation analysis reveal significant growth in international interest and scientific production, indicating an increasing line of inquiry for this topic at the start of the twenty-first century. The prominent scholars in the field are of European origin, while the highly active countries in the subject of FI and business sustainability are the USA, Germany, England, the Netherlands, and India, with major collaborations across the globe. This paper covers the limits identified by previous scholars by detailing the knowledge base and by using science mapping tools to document the structure of the literature; distinguish key journals, articles, and authors; and highlight new emerging topics of research.

Traditional educational systems and learning have been significantly impacted by the quick growth of information and communication technology. Moreover, the learning process is increasingly important for socioeconomic and business success in our modern society. Therefore, at present, cloud computing is crucially important in connection with e-learning systems. The goal of this research is to conduct a thorough assessment of scientific production in the field of e-learning and cloud technology fields using the bibliometric analysis method’s quantitative approach in order to comprehensively review and analyze the subject. The current study reviews the literature by focusing on specific research areas and revealing certain trends. The research examines 637 articles published between 2007 and 2022 in the Web of Science database (WoS) using the VOSviewer software version 1.6.18 (Leiden University, The Netherlands) and bibliometrix R-package. The goal of this research is to conduct a thorough assessment of scientific production in the field of e-learning and cloud technology fields using the bibliometric analysis method’s quantitative approach to comprehensively review and analyze the subject. Currently, there is no unified approach and extensive bibliometric review that tackle both of these topics cohesively; thus, this research aims to fill this gap. The results shed light on the structure, evolution, main trends, and effect of the research field of e-learning systems based on cloud computing by intensively evaluating and analyzing the scientific output, key contributions to the subject, and possible directions for future research. The most productive country in terms of scientific knowledge and number of citations is China. It is noteworthy that the interest of researchers comes from various regions of the world, while the most prolific authors come from Serbia, Japan, and Romania. The average citation number per document is 6.8, while the most citations were obtained by highly influential article about critical factors influencing learner satisfaction for successful e-learning. Regarding the conceptual structure that assists researchers to understand keyword evolution and trend, four clusters were identified, which reside around the topics “Technology”, “Education”, “Delivery Systems” and “Cloud services”. Given these points, the current study’s implications reveal the significance of e-learning technologies based on cloud computing, along with the direct correlation between these two elements.