Search results

This chapter focusses on analysing the origins and evolution of the SWOT analysis. It explains the drivers and limitations of the conventional SWOT analysis, laying the groundwork for new decision-making models that can aid researchers and practitioners in comprehending both the external landscape and the internal characteristics of a company. This chapter demonstrates how the strengths, weaknesses, opportunities, and threats of the SWOT analysis can be approached dynamically. Conventional SWOT analysis offers only a limited perspective on the environment and employs terminology that can confuse users, hindering their clear understanding of the factors that influence an organisation’s situation. This chapter provides a concise literature review of tools for evaluating quality management, its resources, and the surrounding environment, which serves as a valuable means to grasp the economic and social context within which a firm operates.

This chapter review studies on green banking practices and identifies information gaps to justify future research approaches.

A systematic literature review has been conducted by analyzing 44 Scopus-indexed articles on adopting green banking practices through the PRISMA flowchart and analyzed through Vosviewer software.

The findings indicate that survey studies comprised 82% of the selected papers. The Journal of Cleaner Production was the most-cited publication, with 471 citations. France was most frequently involved in collaborative research, with connections to six other countries. Notably, two-thirds of the listed countries had collaborated internationally in publications, but with less than 10 countries involved, based on the 44 studies included in the analysis.

According to the authors' best knowledge, no systematic literature review on green banking practices from the Scopus database utilizing the PRISMA approach has been published in academic literature.

The pitfalls observed in previous research, such as the paucity of an empirical and conceptual methodology and a systematic investigation of theory development, give numerous opportunities for future research. Following this, many new trends in green banking are outlined to assist researchers in identifying gaps in the literature and future study directions.

The study aids researchers, professionals, and managers in understanding green banking adoption's significance. Banks can increase their economic scenarios by using this concept in new markets with excessive potential for employment and business avenues. In addition, the study highlights the value of sustainable practices, environmental concerns, and the importance of green banking.

Digitalization can drive the sustainable development of society and industry. However, a lot of the opportunities are tightly related to the risks. This chapter investigates how academic performance in terms of scientific publications at the intersection of digitization, sustainable development, and industry brings added value to the research field. The analysis focuses on the academic papers that research the relationship between digitalization, sustainable development, and industry, analyzing comparatively two primary academic databases, Scopus and Web of Science (WoS). To do that, two samples of scientific publications were investigated. The first sample comprised 703 documents indexed in WoS, while the second was formed by 566 documents indexed in Scopus. The analyzed period for WoS is 1996–2022, while for Scopus is 2000–2022. The empirical results indicated that the research field's primary issues include digitalization, digital transformation, the construction industry, sustainability, COVID-19, and innovation for both WoS and Scopus. The most relevant authors on this cross-cutting subject in the WoS database are Beier G., Aigbavboa C., and Kumar M. In contrast, in the Scopus database, we found Beier G., Ghobakhloo M., and Iranmanesh M. At the same time, the most typical journals are the International Journal of Production Research, Sustainability, and Computers in Industry for WoS and Sustainability, Journal of Cleaner Production, and Procedia CIRP for Scopus.

This study intends to assess the research trends on natural disasters and their contribution to the various fields of policy decisions in India by conducting a bibliometric analysis between 2008 and 2022. The Scopus database was used to extract pertinent literature. The key relevant terms were used to seek relevant papers based on the query of two searches, ‘Natural disaster and India’ scenarios combined by the Boolean operator ‘AND’. Microsoft Excel and VOSviewer-Var1.6.16 were used to assess bibliometric indicators. The database yielded 1,293 papers in all, with 14,584 citations. There were 262 single authors and 1,031 multi-author documents among the publications that were retrieved, with an average of 11.28 citations per document. After 2016, there was a dramatic growth in the total number of publications. The journal articles were the leading source of the particular literature, and this study extracted approximately 858 journal articles from the Scopus database. About 713 and 580 articles were open and closed access, respectively. Earth and planetary sciences (28.07%), social science (31.01%), and environmental science (30.39%) had a higher proportion of papers than other topics. The most impactful authors were Rajib Shaw and Filip K. Arnberg from Keio University, Japan, and Uppsala University, Uppsala, Sweden. Besides, the most funding institutions were from India (39.33%), China (13.11%), and the United States (11.9%) for natural disaster research, in the case of India. The current baseline information on natural disaster-related literature in the context of India showed that this field is growing rapidly but with inadequate research collaboration and low productivity as needed. Research collaboration in this field needs to be strengthened to improve the solid response to natural disasters in any place in India. In addition, there is a need to expand the research focus in this field to include associated indicators.

Introduction: As the human population grows, consumer demand for digital services tailored to their specific needs also increases. To improve the financial performance of farms and meet the need for food of a growing population, farmers and agribusinesses have started incorporating distributed ledger technology into agricultural and farm management software. These developments in the agriculture sector may lead to realising sustainable development goals.

Purpose: Several researchers have done studies to explore the features and benefits of blockchain technology in the field of agriculture. There is a need to analyse the available literature to identify the use of this technology in agriculture and the scope of further research. This chapter will mainly focus on its publication trend, journal productivity and impact, prolific studies, and coherent themes.

Methodology: For a comprehensive review, bibliometric and content analysis of 71 open-access articles collected through a structured database of Mendeley is done. These articles were published during 2017–2021.

Findings: The execution of blockchain is continuously increasing in the agriculture sector, which has resulted in automation in supply chain management, land registrations, and crop insurance. The study revolves around supply chain management, digitisation of agriculture, and sustainable economic development. This study’s conclusions can help agriculturalists improve their understanding of blockchain implementation in agriculture. The study also gives directions for future research.

In this chapter, the authors employ bibliometric, co-word, and thematic analyses to explore the scientific intersection between higher education (HE) and sustainable development (SD). In particular, the authors analyze a dataset of 215 articles extracted through the Scopus database to understand how the literature debates sustainability and HE. After providing a detailed description of the methodology employed, the authors perform a descriptive and thematic analysis of the dataset. The authors outline general information about the database, the formula applied to search for the results, and the methods used to polish the dataset. The authors then determine the number of publications per year and the number of papers per journal; consider the most used keywords; and build a thematic map based on the co-occurrence network. Lastly, the authors discuss the results and the limitations of our work, providing some indications for future research opportunities.

Purpose: This chapter aims to perform text analysis to investigate the academic area delimitated by economic and financial performance and money laundering.

Need for the study: The findings contribute to the body of literature by providing important insights in terms of money laundering and financial performance.

Methodology: In order to achieve the research objective, further than 640 papers were retrieved from the Web of Science from 1994 to 2022, concentrating on the most referenced documents found in the superior quartile.

Findings: The empirical findings emphasise that the article with the unique words Fraud Detection System: A Survey by Abdallah A., Maarof M. A., and Zainal A., examines a complete and systematic assessment of the concerns and obstacles that impede the performance of fraud detection systems. Furthermore, topic modelling findings highlighted the presence of four main topics: topic 1 – identified by ‘performance’, ‘firms’, ‘financial’, ‘fraud’, and ‘board’; topic 2 – described in terms of ‘fraud’, ‘accounting’, ‘evidence’, ‘audit’, and ‘research’; topic 3 – identified by ‘firms’, ‘fraud’, ‘financial’, ‘CEO’, and ‘results’ while topic 4 – identified through ‘fraud’, ‘detection’, ‘data’, ‘cost’, and ‘card’.

Practical implications: This study will act as a guide for researchers of the financial performance field to explore the scientific publications in the field of money laudering.

In recent years, international bodies and public opinion have recommended that governments adopt social responsibility practices to inform and be accountable to citizens about their sustainability actions in environmental, social and economic fields (Galera et al., 2014) and restore citizens' confidence in public authorities (Crane et al., 2008; Shepherd et al., 2010). This chapter reviews the literature on measuring and reporting sustainable performance in the public sector. Analyzing 35 studies published in a period of 10 years (from 2012 to 2021), we address two specific research questions: How and to what extent have public organizations changed to integrate sustainability reporting (SR) systems? What are the enabling organizational factors in adopting SR in public organizations?

This chapter investigates a new human-centric perspective oriented to consider society as a whole, by following a systemic vision, where social well-being is important: Industry 5.0. The analysis is based on the great advantages for the ecosystem, going beyond the custom of affirming technological development and managerial views, favoring the dialog between the actors of the system, the adaptation of technologies to the context in which one operates, choosing the most appropriate business strategies, sustaining smart, sustainable and inclusive solutions in the innovation process. In this sense, big data, internet of things, augmented realities, or robotics are all technologies to increase productivity and improve working conditions but, at the same time, they have to improve social life. To overcome the main related challenges and support the transition, new insights to design innovative strategies urge. Our research aims to explore the scientific literature about Industry 5.0 and its development in the European Union. We carried out a systematic review and a bibliometric analysis of the scientific production through the Web of Science (WoS) and SCOPUS databases. In addition, our study analyzes how the proposed topic has evolved over time by collecting contributions from different countries and authors. We adopted an innovative tool that goes beyond the traditional statistical methods generally used in bibliometric research, and it allowed us to obtain more advanced results. Our software permitted us to join the findings of two databases simultaneously, such as WoS and SCOPUS, to generate a bibliometric analysis and identify new paradigm trends.