Literature Network Analysis Research Articles

Artificial Intelligence in Energy Economics Research: A Bibliometric Review

Artificial intelligence (AI) is gaining attention in energy economics due to its ability to process large-scale data as well as to make non-linear predictions and is providing new development opportunities and research subjects for energy economics research. The aim of this paper is to explore the trends in the application of AI in energy economics over the decade spanning 2014–2024 through a systematic literature review, bibliometrics, and network analysis. The analysis of the literature shows that the prominent research themes are energy price forecasting, AI innovations in energy systems, socio-economic impacts, energy transition, and climate change. Potential future research directions include energy supply-chain resilience and security, social acceptance and public participation, economic inequality and the technology gap, automated methods for energy policy assessment, the circular economy, and the digital economy. This innovative study contributes to a systematic understanding of AI and energy economics research from the perspective of bibliometrics and inspires researchers to think comprehensively about the research challenges and hotspots.

The role of co-creation tools in the evaluation and redesign of healthcare services: focus on mystery patient methodology implementation in Italian oncology services

ABSTRACT Introduction Healthcare facilities are increasingly recognizing the importance of understanding patients’ perceptions to align with a value-based and patient-centered paradigm. Incorporating a population approach in healthcare performance management is a significant challenge. In this context, the Mystery Patient methodology is recognized as capable for assessing system quality from the user's perspective. This paper aims to explore the potential of patient involvement through this methodology in supporting the co-creation of value in healthcare service reviews. Materials and methods The methodology consists of three phases: Systematic Literature Network Analysis for evidence collection, framework conceptualization through a detailed design, and framework implementation adopting Multiple Criteria Decision Analysis approach in the context of Italian oncology services. Results The Mystery Patient methodology can be implemented through six steps and is recognized by scholars as valuable for measuring healthcare service quality. The measurement tool used is a questionnaire focusing on the equity of access. Survey results revealed that patients consider all criteria important, with higher relevance related to waiting times for reports and services. Discussion The methodology effectively measures the equity of access to healthcare services. This study paves the way for future research to explore its feasibility in real-world healthcare settings.

Blockchain Technology in Tourism Industry: A Bibliometric Analysis

The integration of Industry 4.0 (I4.0) technologies has significantly transformed the tourism industry. Additionally, the COVID-19 pandemic has accelerated the adoption of I4.0 technologies in this sector. However, there is limited evidence on how specific I4.0 technologies, such as blockchain, support the tourism industry, particularly in the post-pandemic era. This review seeks to provide insights into emerging research trends that incorporate blockchain technology into the tourism sector. To achieve this, a systematic literature network analysis (SLNA) was conducted, combining a systematic literature review (SLR) with bibliometric analysis. The analysis was based on a corpus of 163 studies published from 2017 to 2024, sourced from the Scopus database, and was carried out using the Biblioshiny tool in R-studio. The findings indicate that blockchain technology has gained popularity in recent years, with most research focusing on developed economies, while there is a notable gap in studies from emerging and developing economies. Tourism practitioners should consider the results of this study from multiple perspectives to enhance their current and future operations and strategies. This study introduces several novel areas, particularly concerning methodology and research context. The innovative SLNA approach was used to review blockchain applications in the tourism industry, though the study was limited to this sector. Future research could explore related topics, such as cryptography, ecosystems, and technology adoption, which are still developing in this and other fields.

MaMoReS: A Robust Tool for Evaluating Supply Chain Resilience Through Systematic Literature and Network Analysis

Nowadays, disruptive events pose significant threats to organizations, making resilience a critical focus. Evaluating supply chain resilience is essential to avoid escalating disruptions. However, the literature on this topic is fragmented, and the assessment of resilience remains an open gap due to the lack of a clear definition of the dimensions and elements for its evaluation. To fill this gap, this study integrates a systematic literature review (SLR) and a systematic literature network analysis (SLNA) to propose a MAturity MOdel for REsilient Supply Chains (MaMoReS). Through content analysis and stringent selection of 15 resilience maturity models (ResMMs) via SLR, along with an SLNA on 6,474 sources, this method defines dimensions and sub-dimensions. The proposed MaMoReS is framed around five levels and five dimensions: risk management, agility, flexibility and adaptability, redundancy and robustness, transparency and visibility, and collaboration and relationships. The MaMoReS is applied to two case studies, pinpointing the practicality of the MaMoReS for measuring the resilience maturity level of the two companies along with their dimensions and sub-dimensions scoring. Thus, the MaMoReS can be used as an assessment tool by supply chain managers and researchers to evaluate the resilience of a supply chain.

Tobacco control research on the African continent: a 22-year literature review and network analysis

ObjectiveDescribe the landscape of tobacco-related topics, funders and institutional networks in Africa.Data sourcesWe searched PubMed, Embase and African Index Medicus for published articles from January 1996 to August 2018 in...

Blended learning dalam pembelajaran matematika: A systematic literature network analysis

As technology continued to advance, the educational landscape evolved, leading to the development of learning management systems, online platforms, and multimedia resources. Blended learning has since become a cornerstone in educational strategies. The purpose of this study is to describe the research trend data on Blended learning . The Systematic Literature Network Analysis (SLNA) method was employed for the investigation. This study's data is made up of non-time-limited research articles on Blended learning. The articles were retrieved from the Scopus database. The data was evaluated using a bibliometric and network analysis technique with programs R and VOSviewer. The findings indicate that the number of studies and research citations fluctuate. Keyword cluster analysis indicates that the predominant focus of research lies in Blended learning. Simultaneously, the terms 'personnel training' and 'academic performance' exhibit interconnections with inquiries into Blended learning . Subsequent scholarly investigations ought to broaden and elaborate upon facets of Blended learning conceptualization, assessment methodologies, pedagogical instruction, and organizational backing, to furnish a more exhaustive and all-encompassing research outlook.

Total quality management in manufacturing firms: current and future trends

PurposeThe shifting and growing tendencies of total quality management (TQM) research are spotlighted in an era of digitization and Industry 5.0. Whether TQM is a fad or a sustainable approach is a topic of continuous discussion among researchers. Thus, the purpose of this study is to comprehensively analyze the body of literature on TQM in the manufacturing industry and advocate areas for further research.Design/methodology/approachA “systematic literature network analysis” (SLNA) approach is used to accomplish the research goals. It combines bibliometric analyses and a thorough literature review. A corpus of 204 studies from 1987–2022 is finalized from the Web of Science and Scopus databases. To further enrich the findings, the “TCCM (theory, context, characteristics, and methodology)” framework is applied. The Biblioshiny through R-Studio is used to perform the bibliometric analysis.FindingsThe bibliometric results show that TQM is not a fading phenomenon in the manufacturing industry. The findings indicate that TQM studies gained considerable attention in developed economies and need more focus in emerging and developing economies.Originality/valueThe review uses evolving theoretical frameworks with a variety of characteristics and advanced analytical techniques, taking into account prior research findings and outlining the agenda for future study in the context of understudies.

Metabolism and diabetes in Ramadan fasting: Exploring health trends and relationships through systematic literature network analysis.

Ramadan fasting is widely acknowledged for its positive impacts on health, yet it also presents inherent risks, prompting a need for comprehensive exploration into its metabolic implications and its effects on diabetes. This study introduces a novel methodology called systematic literature network analysis (SLNA), which merges bibliometric analysis with systematic literature review (SLR). The aim of this study was to examine the global research landscape concerning Ramadan fasting, metabolism, and diabetes. Through the systematic search strategy, 206 relevant documents were analyzed. Through co-occurrence analysis mapping, the study uncovered four distinct cluster groups, revealing intricate relationships and evolving trends within the field. Moreover, the trajectory of research publications on Ramadan fasting from 2001 to 2023 was tracked, highlighting a growing interest in this domain. The bibliometric analysis emphasized a consensus regarding the beneficial effects of Ramadan fasting on individual health, particularly in improving lipid profiles, managing body weight, regulating glucose levels, and nutrient intake. However, significant variations in research focus were observed across predominantly Muslim countries, with notable exceptions like Indonesia and Brunei Darussalam absent among the top contributors. Furthermore, the analysis shed light on the balanced selection of research subjects by authors, indicating a nuanced approach to exploring the multifaceted aspects of Ramadan fasting, metabolism, and diabetes. These findings offer significant perspectives for researchers aiming to contextualize their studies within the wider conversation on this subject, thereby aiding in a more profound comprehension of the intricate relationship between fasting, metabolic functions, and the management of diabetes.

Learning-oriented assessment: a systematic literature network analysis

Learning-oriented assessment: a systematic literature network analysis

A Systematic Literature Review of Income Inequality in Central–Eastern European Countries

AbstractThis review offers a comprehensive perspective on income inequality literature in Central–Eastern European (CEE) nations, with a specific focus on six countries: Bulgaria, Romania, Poland, Hungary, Czechia, and Slovakia. By thoroughly examining existing research, this review uncovers the underlying factors and root causes contributing to varying income inequality levels and trends across CEE countries. The investigation is conducted through a systematic literature review and network analysis, focusing on the literature published since 1990, mainly on recent studies. The review is structured around three thematic frameworks (concept and measures, evidence, and causes). These three strands of the literature review not only offer a comprehensive picture of income inequality in CEE countries but also identify critical research gaps for further studies. The review underscores several critical areas for improvement within CEE studies. These include addressing gaps in geographical and temporal coverage, utilizing alternative measurements of income inequality, and investigating the causes of diverging trends in income inequality among CEE countries. Moreover, there is a pressing need to expand the understanding of the determinants influencing income inequality in these nations, which presents a significant opportunity for future research.

A Survey of Techniques for Discovering, Using, and Paying for Third-Party IoT Sensors.

The Internet of Things (IoT) includes billions of sensors and actuators (which we refer to as IoT devices) that harvest data from the physical world and send it via the Internet to IoT applications to provide smart IoT services and products. Deploying, managing, and maintaining IoT devices for the exclusive use of an individual IoT application is inefficient and involves significant costs and effort that often outweigh the benefits. On the other hand, enabling large numbers of IoT applications to share available third-party IoT devices, which are deployed and maintained independently by a variety of IoT device providers, reduces IoT application development costs, time, and effort. To achieve a positive cost/benefit ratio, there is a need to support the sharing of third-party IoT devices globally by providing effective IoT device discovery, use, and pay between IoT applications and third-party IoT devices. A solution for global IoT device sharing must be the following: (1) scalable to support a vast number of third-party IoT devices, (2) interoperable to deal with the heterogeneity of IoT devices and their data, and (3) IoT-owned, i.e., not owned by a specific individual or organization. This paper surveys existing techniques that support discovering, using, and paying for third-party IoT devices. To ensure that this survey is comprehensive, this paper presents our methodology, which is inspired by Systematic Literature Network Analysis (SLNA), combining the Systematic Literature Review (SLR) methodology with Citation Network Analysis (CNA). Finally, this paper outlines the research gaps and directions for novel research to realize global IoT device sharing.

The Relationship of Corporate Social Responsibility with Business Performance—A Bibliometric Literature Review

The significant role of corporate social responsibility (CSR) in achieving sustainability and in meeting the expectations of stakeholders has been well documented. Using a collection of 2173 publications on CSR and its connections with business performance, this study conducted a bibliometric investigation using the Systematic Literature Network Analysis (SLNA) technique combined with network visualizations to demonstrate the current research trends, most topical themes and the developing areas of interest in the growing field of CSR and its linkages with business performance for an approximate period from 2004 to 2023 as published in the Scopus database of two decades. The goal was to explore the research gaps by analyzing the most cited authors and most impactful publications by year, location, subject area and document type. The study also outlined the trends by topic prevalence, commonly used keywords and citation networks based on co-occurrence and co-authorship to identify the current thematic gaps. The results reveal a mild rate of growth in scholarly interest around the field of CSR and business performance until 2022, where a manifold increase in publications was recorded. An expanding focus on human, social and organizational behavior, economic systems, financial and social performance, leadership, stakeholder management and management science was identified, although there is a scarcity of studies around issues regarding developing countries, climate change, CSR disclosure and small businesses. These findings demonstrate the current state of the research and offer interesting insights and timely research directions as a roadmap for future studies.

Leveraging Industry 4.0 Technologies for Sustainable Humanitarian Supply Chains: Evidence from the Extant Literature

Prevailing and exacerbating impacts of climate change call for robust and resilient humanitarian supply chains (HSCs). To that end, intelligent technologies that brought about the Industry 4.0 (I4.0) revolution, such as the Internet of Things, blockchain, and artificial intelligence, may tremendously impact the optimal design and effective management of HSCs. In this paper, we conduct a systematic literature network analysis and identify trends in I4.0 and HSCs. We posit the need to instill into current HSC efforts the quadruple bottom-line (cultural, economic, environmental, and social) pillars of sustainability and define a Sustainable Humanitarian Supply Chain (SHSC). Based on the extant literature and ongoing practice, we highlight how I4.0 technologies can aid SHSC stages from disaster risk assessment to preparedness to response to relief. The complex nature of SHSCs requires a holistic and multidisciplinary approach and collaboration by scholars, policymakers, and industry practitioners to pool solution resources. We offer future research venues in this fledgling but life-saving scientific discipline. SHSCs can be empowered with I4.0 technologies, a much needed direction in our climate-changed world.

Analyzing Forklift and Drone Applications in Sustainable Logistics: A Bibliometric Review

Nowadays organizations are under increasing pressure to adopt sustainable solutions for material handling and management due to growing environmental awareness. This drive has spurred advancements in innovative technologies, optimizing logistic processes to reduce energy usage and emissions, and enhancing overall supply chain sustainability. This approach extends to internal material handling with forklifts and the emerging use of drones for last-mile operations. Despite the importance of sustainable logistic practices, the literature lacks a comprehensive review of research on forklifts and drones in logistic activities. Through a Systematic Literature Network Analysis (SLNA), this paper addresses this gap by conducting a comparative analysis of two bibliometric reviews: one on forklifts’ sustainable logistic applications and the other on drones’. This analysis aims to identify key contributors, countries, journals, and research themes in both areas. The SLNA results seek to highlight existing literature, productive countries, influential authors, and research themes. This paper provides theoretical contributions by identifying gaps in the current literature and highlighting key research themes related to sustainable logistic practices. Furthermore, it offers practical insights to industry stakeholders on integrating these practices using forklifts and drones, while also laying the groundwork for future research through a comparative analysis.

A systematic literature network analysis of the development of behavioural accounting research

A systematic literature network analysis of the development of behavioural accounting research

A SYSTEMATIC LITERATURE NETWORK ANALYSIS (SLNA)

This study aims to uncover current, trending, and future research areas within School-University Partnerships (SUPs). The research employs the Systematic Literature Network Analysis (SLNA) method, combining Systematic Literature Review (SLR) using the PRISMA protocol and Bibliometric Analysis with VOSviewer software. The findings indicate a consistent annual increase in SUPs publications, with the United States dominating the research landscape. The VOSviewer analysis reveals key research topics: pre-service teachers, initial teacher education, teacher education in Cluster 1, professional development and school-university partnerships in Cluster 2, and educational development, teacher training, and university in Cluster 3. Overlay Visualization highlights current research trends, including pre-service teachers, professional experience, professional learning community, professional learning, curriculum, learning communities, and communities of practice. Thematic evolution mapping suggests future research involving pre-service teachers in SUPs, such as exploring communities of practice. This research provides valuable guidance for SUPs researchers in selecting and determining future research topics, facilitating informed and strategic contributions to the field.

How gender diversity in boards affects disclosure? A literature review

AbstractA more gender‐balanced working environment is both a necessity and an opportunity for society. Women representation on corporate boards is among the most debated topics, and several legislative measures have recently been adopted to improve gender equality in boards. However, real progress requires firms to appoint women on boards not just as a matter of compliance. Thus, assessing the business implications of board gender diversity can support the adoption of new policies and prevent their reduction to mere tokenism. By applying a dynamic literature review method called ‘Systematic Literature Network Analysis’, this study provides an overview of the existing literature investigating the impact of board gender diversity on companies' level and quality of disclosure. Overall, researchers report a positive relationship. Some notable exceptions nevertheless call for further research to deepen our understanding of how enhanced gender equality in boards can improve corporate communication and transparency.

Review of agile project management research through systematic literature network analysis approach

In the present digital era, the concepts of Agile project methodology or Agile methods have transformed technology as perceived in learning organizations. During the COVID-19 pandemic, the Agile methods domain has gained considerable attention from practitioners and researchers. While past review studies have provided valuable insights into Agile methods research, none have addressed the trends, structure, and opportunities in this domain. Therefore, this research aims to conduct a systematic review of Agile project management or Agile methods using a novel research methodology called Systematic Literature Network Analysis (SLNA). A corpus of fifty research articles from 2006 to 2023 is extracted from the Web of Science (WoS) database. The bibliometric technique has been applied to systematically collected documents. The research findings highlight that the Agile project method domain gained considerable attention during and after the COVID-19 pandemic, with most research conducted in developed countries. The outcomes suggest that future studies should focus on people and technical factors and explore different frameworks and variables to strengthen the field of Agile project methodology. These findings are valuable for future researchers, practitioners, and industry personnel. Emphasize people and technical factors while implementing Agile methods, fostering effective collaboration, and utilizing appropriate technical resources. Investigate emerging trends in Agile project management, including the impact of remote work, and conduct cross-country studies to understand the applicability of Agile methods across different contexts. The impact of Agile project management methods on society includes fostering adaptability and resilience in organizations, promoting efficient collaboration and innovation, and facilitating the successful delivery of projects that meet the evolving needs of society. A broader set of keywords, a longer time frame, and additional online databases could have resulted in a greater number of articles being analysed.

A systematic literature network analysis of green information technology for sustainability: Toward smart and sustainable livelihoods

Although applications of information technologies (ITs) have made a substantial contribution in the form of economic benefits and new employment opportunities, rebound impacts such as increasing layoffs and electronic waste (e-waste) resulting from retired hardware and automation have occurred concurrently. Notably, the linkage between ITs and sustainability is an issue that remains less discussed in the literature. The purpose of this review is to address this gap and comprehensively understand how to leverage ITs to enhance sustainability while minimizing their negative impacts. After collecting 2919 keywords from 836 papers published in 240 journals and conducting social network analysis (SNA), this study contributes a smart sustainability model (SSM) mediated by green information technology to enhance economic, social, and environmental sustainability. Moreover, managerial and policy implications of the impact of ITs on corporate social responsibility and four roles of government (i.e., regulator, customer, innovator and facilitator) for sustainable development are discussed.Declarations of interest: none.

“Recover together, recover stronger”: an exploratory literature review on the recovery challenges of creative SMEs following the COVID-19 pandemic and proposed future recommendations

PurposeThe rise of the coronavirus disease 2019 (COVID-19) pandemic has enabled researchers and industry professionals to reinvent their strategies for basic economic understanding. Two years after the outbreak of the pandemic, businesses are now trying to adapt to the impact it has brought, hoping to receive support as it did in the past. However, before this feat can be accomplished, it is imperative to understand the recovery hurdles created by the pandemic. This research aims to fill the literature gaps by examining the challenges during recovery within the creative small and medium-sized enterprise (SME) industry, as there are few relevant studies that focus on this field.Design/methodology/approachThrough a methodical bibliometric literature review and network analysis, the paper intends to critically explore relevant recovery challenges within the field while providing answers to the appropriate research questions. A total of 43 articles were selected for an in-depth review. Using the analysis from the selected articles as a guide, a framework was developed to address the recovery challenges alongside the recommended propositions.FindingsThe findings from this paper suggest that a lack of synergy among four major categories (governmental, supply chain, organizational and stakeholders) contributes to recovery challenges within the field of research.Originality/valueThe review also offers clarification in understanding the current and upcoming trends within the creative industry, SMEs and COVID-19. This paper can thus help researchers, industry practitioners and managers discover and analyze the recovery challenges brought about by the COVID-19 pandemic.