Search results

The purpose of this study is to address the lack of a proper database or finding system for scholars of Islamic economics (IE), as well as the dearth of literature on bibliographic search and trend analyses of scholars in this field. This study aims to adopt a bibliometric review of the bibliography of experts in IE and scholars in disciplines allied to IE.

This study adopts a bibliometric review of the bibliography of experts in IE and scholars in disciplines allied to IE. The researchers collected data on scholars’ profiles and scholarly works and analyzed them to identify trends and patterns.

This study presents two main themes: the profiles of the scholars in IE and allied disciplines, and their scholarly works. The findings on the scholars’ profiles reveal that most scholars are contemporaries born between the 1940s and 1990s, concentrated in Malaysia and affiliated with the International Islamic University Malaysia. Regarding their scholarly works, the majority of their efforts resulted in 11,736 materials in the form of books, articles and conference papers spread across 13 sub-areas in IE.

This study fills the gap in literature by providing a database and finding system for scholars in IE and conducting a bibliographic search and trend analysis of scholars in this field. The findings shed light on the profiles of scholars and their scholarly works, which can guide future research in this area.

Due to the uniqueness of individual construction projects, identifying the dominant risk factors is needed for risk mitigation in ongoing and future projects. This study aims to identify the dominant construction supply chain risk (CSCR) factors, based on studies conducted between 2002 and 2022.

The study adopts the preferred reporting items for systematic reviews and meta-analysis (PRISMA) procedure to identify, screen and select relevant articles in order to provide a bibliography and annotation of the prevalent risks in the supply chains. A descriptive analysis of the findings then follows.

The study’s findings have highlighted the three most prevalent risks in the construction supply chain (poor communication across project teams, changes in foreign currency rate, unfavorable climate conditions) as reported in literature, that project teams need to pay closer attention to and take proactive steps to mitigate.

Due to limitations imposed by the chosen research methodology, tools, time frame and article availability, the study was unable to examine all CSCR-related papers.

The results will serve as a useful roadmap for risk/supply chain managers in the construction industry to take strategically proactive steps towards allocating resources for CSCR mitigation efforts.

Context-specific research on the impact of social and cultural risks on the construction supply chain would be beneficial, due to emerging social network risk factors and the complex socio-cultural settings.

There is presently no study that has reviewed extant studies to identify and compile the dominant risk factors (DRFs) associated with the supply chain of construction projects for ranking in the supply chain risk management process.

This paper aims to analyze practices, processes and outcomes related to construction supply chain management (CSCM) in Brazil to identify opportunities and direct actions and strategies to improve the Brazilian sector through blockchain technology (BT).

The study collected empirical data through semi-structured interviews with consumers and distributors to identify how the CSCM functions today. The interviews were structured and analyzed around the following topics: processes, digitalization, quality and weakness of the activities performed. The opportunities for using BT in CSCM were identified by crossing these results with evidence in the bibliography.

The study identified deficiencies, gaps and good practices applied to information management in the sector. Also, it analyzed the features, drivers and barriers of BT from a practical perspective. The findings suggested that BT is feasible and promising, reducing costs and enhancing process transparency. The need to overcome cultural and economic barriers is a challenging task.

This study brings a new perspective on using BT in CSCM, relating it to the demands and particularities of the construction sector in Brazil. The study identifies a limited panorama of chronic CSCM concerns, given BT’s infinite opportunities. And it motivates a gradual transition toward installing a new technological culture based on BT that focuses on priority care for the sector’s chronic deficiencies. The results can guide practical actions for the successful insertion of BT in the CSCM, laying the foundations for significant future research.

Employee burnout is increasingly coming under attention due to its negative impact on employee well-being and organisational effectiveness. This study, a systematic review, aims to evaluate the role of servant leadership and its mediators in preventing and mitigating against burnout experiences in organisations.

A preferred reporting items for systematic review and meta-analyses (PRISMA) was conducted using three databases, Academic search Complete, Embase and Scopus, in addition to bibliography searches. Articles were included if they reported on primary data, in English from inception to 2023. The mixed methods critical appraisal tool was used to assess the quality of articles, and a narrative synthesis was used to report results.

The search strategy yielded 4,045 articles, of which (N = 17), with total sample size of (N = 10,444) are included. Findings suggest that servant leadership is predictive of burnout, and that several mediators impact this relationship. Most studies were conducted in health care (n = 8) and banking (n = 3), and while the quality of the studies was mostly high (64%), the methods used were mainly descriptive and cross-sectional, which limits the extent to which causality can be inferred. A theory of change is provided based on the findings from this review and integrated with the extant literature on servant leadership theory, and can be used by organisations to support the policy, training and practice of servant leadership to reduce burnout.

Servant leadership is predictive of burnout; however, further research needs to be undertaken in this important emerging area.

This study aims to extract knowledge of ancient Chinese scientific and technological documents bibliographic summaries (STDBS) and provide the knowledge graph (KG) comprehensively and systematically. By presenting the relationship among content, discipline, and author, this study focuses on providing services for knowledge discovery of ancient Chinese scientific and technological documents.

This study compiles ancient Chinese STDBS and designs a knowledge mining and graph visualization framework. The authors define the summaries' entities, attributes, and relationships for knowledge representation, use deep learning techniques such as BERT-BiLSTM-CRF models and rules for knowledge extraction, unify the representation of entities for knowledge fusion, and use Neo4j and other visualization techniques for KG construction and application. This study presents the generation, distribution, and evolution of ancient Chinese agricultural scientific and technological knowledge in visualization graphs.

The knowledge mining and graph visualization framework is feasible and effective. The BERT-BiLSTM-CRF model has domain adaptability and accuracy. The knowledge generation of ancient Chinese agricultural scientific and technological documents has distinctive time features. The knowledge distribution is uneven and concentrated, mainly concentrated on C1-Planting and cultivation, C2-Silkworm, and C3-Mulberry and water conservancy. The knowledge evolution is apparent, and differentiation and integration coexist.

This study is the first to visually present the knowledge connotation and association of ancient Chinese STDBS. It solves the problems of the lack of in-depth knowledge mining and connotation visualization of ancient Chinese STDBS.

A large number of organisations are moving towards adopting Industry 4.0 (I4.0), and simultaneously, the emphasis on attaining sustainability development goals is also increasing. Hence, it is imperative to understand the interplay between I4.0 and sustainability. However, the literature addressing the same is still in infancy. Accordingly, the purpose of this study is to fill this gap in the literature by exploring the potential sustainability impacts of I4.0 on the organisations and society in terms of sustainability risks.

To gain an understanding of sustainability aspects in the I4.0 context, relevant literature is gathered using Scopus and Web-of-Science database. An in-depth review of 51 research papers is performed to determine the sustainability risks associated with I4.0.

From the study, a total of 16 sustainability risks are identified, and I4.0 sustainability risk taxonomy is developed. The proposed taxonomy extends the sustainability implications of I4.0 beyond the triple bottom line umbrella and includes the organisational perspective as well. Furthermore, the study provides future research avenues to scholars by positing five potential research questions under different risk management stages.

The study provides an understanding of sustainability risks associated with the adoption of I4.0. The findings will help practitioners streamline their production and operation processes by finding out possible solution to the sustainability risks of their smart factories in advance. The present research will act as a stepping stone towards I4.0 sustainability. The proposed research questions will assist the future researchers in extending the field of I4.0.

To the best of the authors’ knowledge, this is one of the first studies to address the topic of sustainability risks in the context of I4.0.

Competency frameworks can support public procurement capacity development and performance. However, literature on connecting professionalisation with national procurement contexts is limited. This paper aims to explain and conceptualise recent Romanian experience with developing bespoke competency frameworks at national level for public procurement that reflect the features of the Romanian public procurement system. The approach used could guide in broad-brush, mutatis mutandis, other (national) public procurement systems with comparable features, mainly those seeking a shift from a rather administrative function of public procurement towards a strategic function.

This case study reflects on the methodology used for analysing the Romanian public procurement environment in EU context to develop bespoke professionalisation instruments, and on ways to integrate competency management approaches in Romanian public procurement culture. That methodological mix has been mainly qualitative and constructionist, within an applied research approach. It combined desk research with empirical research and included legal research in this context.

A principled, methodological and pragmatic approach tailored to the procurement environment in question is essential for developing competency frameworks capable to resonate to and address the specific practical needs of that procurement system.

Competency frameworks can uphold societal objectives through public procurement.

Using valuable insights into the development of the Romanian public procurement competency frameworks, the paper provides a conceptual framework for instilling competency management approaches to public procurement professional development where the latter is governed by a rather distinct, public administration, paradigm. This conceptual framework can guide other public procurement systems and stimulate further research.

Social mediametrics is a subfield of measurement in which the emphasis is placed on social media data. This paper analyzes the trends and patterns of paper comprehensively mentions on Twitter, with a particular focus on Twitter's mention behaviors. It uncovers the dissemination patterns and impact of academic literature on social media. The research has significant theoretical and practical implications.

This paper explores the fundamental attributes of Twitter mentions by means of analyzing 9,476 pieces of scholarly literature (5,097 from Nature and 4,379 from Science), 1,474,898 tweets and 451,567 user information collected from Altmetric.com database and Twitter API. The study uncovers assorted Twitter mention characteristics, mention behavior patterns and data accumulation patterns.

The findings illustrate that the top academic journals on Twitter have a wider range of coverage and display similar distribution patterns to other academic communication platforms. A large number of mentioners remain unidentified, and the distribution of follower counts among the mention users exhibits a significant Pareto effect, indicating a small group of highly influential users who generate numerous mentions. Furthermore, the proportion of sharing and exchange mentions positively correlates with the number of user followers, while the incidence of supportive mentions has a negative correlation. In terms of country-specific mention behavior, Thai scholars tend to utilize supportive mentions more frequently, whereas Korean scholars prefer sharing mentions over communicating mentions. The cumulative pattern of Twitter mentions suggests that these occur before official publication, with a half-life of 6.02 days and a considerable reduction in the number of mentions is observed on the seventh day after publication.

Conducting a multi-dimensional and systematic analysis of Twitter mentions of scholarly articles can aid in comprehending and utilizing social media communication patterns. This analysis can uncover literature's distribution patterns, dissemination effects and social significance in social media.

This paper aims to provide authorities managing free trade zones, business enterprises, financial institutions and dedicated free zone customs, police and immigration command assigned to deal with aspects of movement of goods and persons in and out of the free zones with a clear understanding of the cross-border financial crime risks associated with the African Continental Free Trade Area and the risk control measures that combines human intelligence with advanced technology to combat cross-border financial crimes in the African Continental Free Trade Area.

A range of research activities would be used in this study. In addition to a sweeping literature review of academic, official studies and media writings, the main focus is on critically evaluating and analysing primary data by searching and collecting statutes, court cases, administrative rules and regulations and policy documents.

This paper identified bribery and corruption; modern slavery; and trade-based money laundering as the financial crime risks that are of priority concern to African Continental Free Trade Areas and demonstrated how countries can assess and mitigate these risks through adequate policies, procedures and controls including appropriate compliance management arrangement and adequate screening procedures to ensure high standards when hiring employees; corporate transparency; training on managing incidents of modern slavery, forced labour and third-party exploitation; and appropriate monitoring framework for trade-based money laundering activities.

While many authors have written research papers on intra-African trade, none of those research papers explained how countries can assess and mitigate financial crime risks in free trade zones. This research paper describes the ways in which cross-border financial crime risks can be assessed and adequately addressed by the authorities managing free trade zones. This research paper analyses the risk assessment topic in line with the African Continental Free Trade Area with a focus on free trade zones in Nigeria. This research paper would help authorities managing free trade zones, commercial organisations and business enterprises to identify, prevent and mitigate cross-border financial crime risks. Zone managements and business enterprises that implement the risk-based approach, in line with the guidance given in this research paper, will be well-placed to avoid the consequences of inappropriate de-risking behaviour.

Organizations and markets are constantly developing and changing, impacting how organizations create value and manage supply chains. This paper aims to identify the motor themes and subthemes of academic research that relate supply chain management (SCM) maturity and business models (BMs).

The Science Mapping Analysis Tool (SciMAT) was used to conduct a seven-step bibliometric analysis of 889 documents indexed in the Scopus database clustering by relatedness of works and keywords. The methodological approach included content analysis of the literature, longitudinal analysis and strategic diagram analysis.

The thematic evolution analysis revealed that three themes drive the studies on SCM maturity and BM: industry 4.0 (motor theme), environmental management (transversal theme) and product management (highly developed and isolated theme). The strategic diagrams and co-word networks allowed to graphically identify the main topics connecting SCM maturity and BM. Considering this connection, the scientific mapping emphasizes the significance and strength of the link between digital technologies, technology management and manufacturing management in Industry 4.0. In addition, the connections between the subthemes revealed that circular economy and green human resource management are important concepts to advance theory and practice on the connection between SCM maturity and BM.

This research extends the knowledge base by providing an analysis of the key themes and the links with subthemes in the literature that relate to SCM maturity and BM. Key studies are analyzed and linked with the key topics identified using the SciMAT software. Future research avenues are outlined, providing new insights to advance theory and practice.