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This paper aims to trace the contours of Islamic political economy (IPE) for last four decades with the help of bibliometric analysis. This method does not focus on in-depth literature. However, it reviews more material content of the published papers in the field, generally including the number of publications, authors, title, H-Index and authors’ affiliation.

The authors use biblioshiny by R in conducting bibliometric analysis. Based on the results of analysis, the authors only found 39 relevant documents to the topic with the help of keyword of “Islamic political economy”. The authors analyse the data and visualize it into bibliometric images for the convenience of the readers.

There are 39 documents on IPE in the annual scientific production. The year 1980 had the lowest productivity at 3% while the year 2007 showed an increase in scientific productivity by 13%. The most significant increase in production occurred between 2014 and 2015 by 8%, while the most significant decline occurred between 2007 and 2008 by 10%. The most significant contributors are Akan, T., Choudhury, M.A. and Asutay, M. According to the Corresponding Author’s Country, the UK has eight articles on IPE. Humanomics is the most influential Journal, with six documents.

This research only examines documents sourced from Web of Science and Scopus under the title “Islamic political economy” and does not include articles from other sources. This research has implications for future researchers and suggests a shift in recent research on IPE towards exploring current realities and expanding beyond traditional economic and political aspects. The goal is to gain a comprehensive understanding of Islam’s role in shaping economic and political systems, promoting inclusive sustainable development and social justice, and exploring its relationship with broader political and economic systems.

IPE has become a trendy topic in the early days, the second half of the 20th century, during the revival of the Islamic mode of finance and development. However, with time, the discussion on this topic appeared less in scientific and academic publications; this issue needs an overview of how far this discipline has evolved. This work aims to identify future research trends in this area. Scholars should investigate articles by author, institution, country, databases, data sources with high-impact factors and objective metrics to get new perspectives.

This chapter provides a comprehensive investigation of the literature on sustainability reporting in Islamic banks using a content analysis of 200 English language articles published between 2000 and 2023. The data were collected from the Web of Science (WOS) database and analyzed using Bibliometrix in R software. This chapter addresses the trends of the most influential authors, institutions, countries, and research hotspots. This chapter fills one of the gaps in sustainability reporting literature, setting up a statistical description of the principal features of sustainable Islamic banking research and carrying out an analysis of its knowledge structure via bibliometric analysis. This chapter found that the number of articles on sustainability reporting in Islamic banks has increased over time; however, it is concentrated on a few core sources and authors, mostly related to Islamic finance, accounting, and ethics, as well as sustainability and social responsibility. The analysis of the co-authorship network shows a limited degree of collaboration between researchers from different clusters. The most productive and collaborative countries are Malaysia, the United Kingdom, and Pakistan, reflecting their well-developed and regulated Islamic banking industries that follow sustainability guidelines and frameworks. Moreover, the co-word analysis identifies 11 clusters and 43 keywords that represent the main topics and themes in the field, such as corporate governance, performance, disclosure, and risk. This chapter suggests some directions for future research and action on sustainability reporting in Islamic banks. This chapter contributes to the literature on sustainability in Islamic banking and the UN 2030 Agenda for Sustainable Development.

This study aims to extend and explore patterns and trends of research in the linkage of big data and knowledge management (KM) by identifying growth in terms of numbers of papers and current and emerging themes and to propose areas of future research.

The study was conducted by systematically extracting, analysing and synthesizing the literature related to linkage between big data and KM published in top-tier journals in Web of Science (WOS) and Scopus databases by exploiting bibliometric techniques along with theory, context, characteristics, methodology (TCCM) analysis.

The study unfolds four major themes of linkage between big data and KM research, namely (1) conceptual understanding of big data as an enabler for KM, (2) big data–based models and frameworks for KM, (3) big data as a predictor variable in KM context and (4) big data applications and capabilities. It also highlights TCCM of big data and KM research through which it integrates a few previously reported themes and suggests some new themes.

This study extends advances in the previous reviews by adding a new time line, identifying new themes and helping in the understanding of complex and emerging field of linkage between big data and KM. The study outlines a holistic view of the research area and suggests future directions for flourishing in this research area.

This study highlights the role of big data in KM context resulting in enhancement of organizational performance and efficiency. A summary of existing literature and future avenues in this direction will help, guide and motivate managers to think beyond traditional data and incorporate big data into organizational knowledge infrastructure in order to get competitive advantage.

To the best of authors’ knowledge, the present study is the first study to go deeper into understanding of big data and KM research using bibliometric and TCCM analysis and thus adds a new theoretical perspective to existing literature.

Drawing on social network and information diffusion theories, the authors study the impact of the structural characteristics of a seller’s local social network on her promotion effectiveness in social commerce.

The authors define a local social network as one formed by a focal seller, her directly connected users and all links among these users. Using data from a large social commerce website in China, the authors build econometric models to investigate how the density, grouping and centralization of local social networks affect the number of likes received by products posted by sellers.

Local social networks with low density, grouping and centralization are associated with more likes on sellers’ posted products. The negative effects of grouping and centralization are reduced when density is high.

The paper deepens the understanding of the determinants of social commerce success from a network structure perspective. In particular, it draws attention to the role of sellers’ local social networks, forming a foundation for future research on social commerce.

This paper aims to give an overview of the history and evolution of commercial search engines. It traces the development of search engines from their early days to their current form as complex technology-powered systems that offer a wide range of features and services.

In recent years, advancements in artificial intelligence (AI) technology have led to the development of AI-powered chat services. This study explores official announcements and releases of three major search engines, Google, Bing and Baidu, of AI-powered chat services.

Three major players in the search engine market, Google, Microsoft and Baidu started to integrate AI chat into their search results. Google has released Bard, later upgraded to Gemini, a LaMDA-powered conversational AI service. Microsoft has launched Bing Chat, renamed later to Copilot, a GPT-powered by OpenAI search engine. The largest search engine in China, Baidu, released a similar service called Ernie. There are also new AI-based search engines, which are briefly described.

This paper discusses the strengths and weaknesses of the traditional – algorithmic powered search engines and modern search with generative AI support, and the possibilities of merging them into one service. This study stresses the types of inquiries provided to search engines, users’ habits of using search engines and the technological advantage of search engine infrastructure.

This study aims to present the current state of published literature concerning halal tourism and hospitality studies.

This research discovered 314 Scopus documents from 2003 until 2023 regarding existing studies related to this field. The present study then used a bibliometric analysis of this data set. The present research analysed the documents' bibliographical data based on year, source title, country of origin, institution, authors, keywords and citations. Microsoft Excel, bibliometrix, Harzing's Publish or Perish and VOSviewer software applications were used to conduct a frequency analysis, evaluate the impact and map bibliometric networks regarding halal hospitality. This study has presented the evolution of publications in the research field by year, the top players in source titles, countries, institutions and authors. This paper also evaluated the intellectual structure of existing research concerning halal tourism and hospitality and presented the most influential documents in this field. There were 112.21 citations per year, 7.21 per paper and 3.14 authors per paper.

The findings revealed that the study trend concerning halal tourism and hospitality had attracted the attention of academics and developed into a significant field in 2016. Malaysia and Indonesia have been the major contributors to halal hospitality research, with the highest proportion of authors.

In general, this study also has limitations similar to other studies. The research data were derived solely from the Scopus database, which has the advantage of being the most comprehensive database indexing all scientific works, even though it does not easily cover all available sources.

The present research has differed from previous research in that it examined literature published in Scopus concerning research on halal hospitality from 2003 to 2022. It analysed bibliographic data by year, source title, country, institution, author, keywords and citations.