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With the Journal of Property Investment and Finance (JPIF) being 40 years old, this paper reflects on the changes in real estate research over the last 40 years, the drivers behind these changes and how JPIF has evolved over these 40 years to retain its position as a leading real estate research journal. Challenges and opportunities are also identified for the next generation of real estate researchers to continue to develop the real estate research agenda.

This paper is presented as a reflective article, drawing on a deep personal understanding of real estate research, how it has evolved over the last 40 years, key drivers of these changes and the challenges going forward.

Fundamental changes in real estate research over the last 40 years and drivers behind these changes are articulated. A pathway forward for real estate research is identified, as well as how JPIF fits into the mix.

With real estate research being increasingly important in real estate academics' careers, this article provides a practical roadmap for how real estate research has changed, why it has changed and future opportunities for the next generation of real estate researchers.

This is the first paper to reflect on these key changes and drivers behind these changes in real estate research, as well as the opportunities for the next generation of real estate researchers.

The purpose of this paper is to explore relative deprivation and implicit bias in library and information science research publications of Africa and other continents.

Research design used for this study is descriptive survey research. Specifically, the study will adopt both web content analysis and survey to collect data. The content analysis covers the whole continents of the world: Africa, Asia, Eastern Europe, Latin America, Middle East, Northern America, Pacific Region and Western Europe; using the Webometrics World Ranking of Universities and the SCImago/Scopus Journal Ranking. Library and information science was used as the search and control parameter. The scopes covered by the research are: 1. Ascertaining the visible publishing and assessment standards of top library and information science (LIS) journals, which was evaluated using Kleinert and Wager (2010)'s study.

It was found out among others that editors making fair and unbiased decisions as policy is seen in 33% of the journals, which is very poor. All the structural disparities, such as presence ranking, impact ranking, excellence ranking, etc. were favouring Europe and the Americas mainly. As much as rejection is getting to these respondents, research generally is also suffering by missing out on some untapped knowledge and ideas from these deprived populations. Many authors are losing faith in their capabilities and are now afraid of venturing into tedious research exercises because it will most likely be rejected either ways.

It is an established fact that social media gains research impact and attracts international collaborations. In support, studies such as Hassan et al. (2019) reported the fact that tweet mentions of articles with positive sentiment to more visibility and citations. They claim that cited articles in either positive or neutral tweets have a more significant impact than those not cited at all or cited in negative tweets. In addition, Hassan et al. (2020) equally highlighted tweet coupling as a social media methodology useful for clustering scientific publications. Despite the fact that social media have these influences on research and publications visibility and presence, the context of the present research did cover this scope of study. The study focused mainly on sources from Scopus as well as results from responses. Further studies can be carried out on this area.

Research studies linking “Black Articles Matter” to relative deprivation and implicit bias in research publications, especially in library and information discipline, are very rare. Also, the scope of approach of the study is quite different and interesting.

The purpose of the study is to map the funding status of COVID-19 research. The various aspects, such as funding ratio, geographical distribution of funded articles, journals publishing funded research and institutions that sponsor the COVID-19 research are studied. To visualize the country collaboration network and research trends/hotspots in the field of COVID-19 funded research, keyword analysis is also performed. The open-access (OA) status of the funded research on COVID-19 is also discussed.

The leading indexing and abstracting database, i.e. Web of Science (WoS), was used to retrieve the funded articles published on the topic COVID-19. The scientometric approach, more particularly “funding acknowledgment analysis (FAA),” was used to study the research funding.

A total of 5,546 publications of varied nature have been published on COVID-19, of which 1,760 are funded, thus indicating a funding ratio of 32%. China is the leading producer of funded research (760, 43.182%) on COVID-19 followed by the USA (482, 27.386%), England (179, 10.17%), Italy (119, 6.761%), Germany (107, 6.08%) and Canada (107, 6.08%). China is also in lead in terms of the funding ratio (60.94%). However, the funding ratio of the USA (31.54%) is at 11th rank behind Canada (40.68%), Germany (34.18%) and England (35.87%). The USA occupies a central position in the collaboration network having the highest score of articles with other countries (n = 489), with the USA–China collaboration ranking first (n = 123). National Natural Science Foundation of China (NSFC) is the largest source of funding for COVID-19 research, supporting 342 (19.432%) publications, followed by the United States Department of Health Human Services (DHHS) and National Institute of Health (NIH), USA with 211 (11.989%) and 200 (11.364%) publications, respectively. However, China's National Key Research and Development Program achieves the highest citation impact (80.24) for its funded publications. Journal of Medical Virology, Science of the Total Environment and EuroSurveillance are the three most prolific journals publishing 63 (3.58%), 35 (1.989%) and 32 (1.818%), respectively, of the sponsored research articles on the COVID-19. A total of 3,138 institutions produce funded articles with Huazhong University of Science Technology and Wuhan University from China at the forefront publishing 92 (5.227%) and 83 (4.716%) publications, respectively. The funded research on COVID-19 is largely available in OA mode (1,674, 95.11%) and mainly through the Green and Bronze routes. The keyword clustering reveals that the articles mainly focus on the impact, structure and clinical characteristics of the virus.

The study's main limitation is that the results are based on the publications indexed by WoS, which has limited coverage compared to other databases. Moreover, all the funding agencies do not require or authors miss to acknowledge funding sources in their publications, which ultimately undermines the number of funded publications. The research publications on COVID-19 are also proliferating; thus, the study's findings shall be valid for a minimum period.

The funding of research on the COVID-19 is highly essential to accelerate innovative research and help countries fight against the global pandemic. The study's findings reflect the efforts made by nations and institutions to remove the financial and accessibility hurdles. It not only underscores the lead of the USA in the research on COVID-19, but also shows China as a forerunner in sponsoring the research, thus, helping to know the contribution of nations toward understanding the dynamics of pandemic and controlling it. The study will help healthcare practitioners and policymakers recognize the areas that remain the focus of sponsored research on COVID-19 and other left-out areas that need to be taken up and thus may help in policy formulation. It further highlights the impact of prolific funding agencies so that efforts may be initiated to increase the impact and thereby the returns of investment. The study can help to map the scientific structure of COVID-19 through the lens of funded research and recognize core inclinations of its development. Overall, a comprehensive analysis has been performed to present the detailed characteristics of sponsored research on emerging area of COVID-19, and it is informative, useful and one of its kind on the theme.

The study explores the funding support of research on COVID-19 and its other aspects, along with the mode of availability.

With the rapid development of the economy, carbon emissions have also risen sharply. This study explores the relationship between the two by combining the literature of relevant fields and maps the analytical framework from the knowledge base to the research frontier model using CiteSpace.

Using CiteSpace and data statistical tools, we conducted a bibliometric and visual analysis of nearly ten thousand research papers on carbon emissions and economic development published in the Web of Science (WOS) and China National Knowledge Infrastructure (CNKI) databases from 1991 to 2021.

It shows that research on economic development and carbon emissions is developing steadily and involves a wide range of fields. Notably, keywords such as “carbon emissions,” “economic growth,” and “energy consumption” had high frequency, centrality, and persistence. “carbon emissions,” “economic growth,” and “energy consumption” had high frequency, centrality, and persistence. Research institutions in the USA and China have made great contributions to research on economic development and carbon emissions. The authors should continue to enrich and improve research on related subjects and concerns to reasonably plan the path of carbon emission reduction and economic development.

The study analyzes the evolution of the relationship between carbon emissions and economic growth to provide scholars a more comprehensive and in-depth understanding of the relationship from an international perspective.

The aim of this review paper is to identify the methodological practices and presentational styles used to report interview-based research in “leading” management and organisation journals.

This paper reviews a sample of 225 articles using qualitative interviews that were published in management, human resource management, organisational behaviour and international business journals listed in the Financial Times 50 list between 2009 and 2019.

The review found diversity and plurality in the methodological practices used in these studies and the presentational styles used to report interview research.

The findings are expected to help doctoral students, early career scholars and those new to using qualitative interviews to make decisions about the appropriateness of different methodological practices and presentational styles. The findings are also expected to support editors, reviewers, doctoral examiners and conference organisers in making sense of the dissensus that exists amongst qualitative interview researchers (Johnson et al., 2007). These insights will also enable greater “paradigmatic awareness” (Plakoyiannaki and Budhwar, 2021, p. 5) in the evaluation of the quality of interview-based research that is not restricted to standardised criteria derived from positivism (Cassell and Symon, 2015).

To make sense of this plurality, the authors map these practices and styles against the onto-epistemological paradigms identified by Alvesson (2003, 2011). The paper contributes to calls for philosophical diversity in the evaluation of qualitative research. The authors specifically articulate concerns about the use of practices in interview-based studies that derive from the positivistic logic associated with quantitative research.

The purpose of this paper is to analyze the evolution of total quality management (TQM) models, frameworks, and tools and techniques in higher education (HE) over the last thirty years from 1991 till 2020, based on a literature review

30 articles from 52 journals were used to perform this detailed literature review. For the detailed analysis, the focus was only on articles related to TQM in higher education and specifically related to models, frameworks and tools and techniques. The study has investigated the growth of research articles, research streams, research methodologies, models and frameworks in the higher education sector and tools and techniques related to those.

This review addresses the progress and gaps in the application of TQM in HE, including the shift in global research in this area from the USA and Europe to Asia in recent years. The articles have been classified into four research methodologies and two research streams which have been reviewed in detail. The findings include reasons for multiple models/frameworks in HE proposed by researchers over the years and the importance of tools and techniques used in TQM implementation.

This study, which tries to bring a perspective to the main trends in TQM application to higher education wrt models, frameworks, tools and techniques over the last thirty years, is expected to add to the body of knowledge in this area and help future researchers to focus on the relevant areas identified in this paper.

This study aims to serve as an important resource for customer engagement (CE) researchers by presenting a comprehensive, up-to-date and objective assessment of the status and evolution of the CE literature. This purpose is achieved through simultaneous consideration and separate analyses of both the marketing/service and hospitality/tourism literature where CE research dominates.

This study integrated three review techniques, including a systematic review technique, evaluative technique and relational technique, to present a state-of-the-art analysis of 236 articles. It provides an updated picture of scientific research on CE, as well as the thematic evolution and structure of the CE literature across the two disciplines.

Through a comprehensive review of the CE literature in marketing/service and hospitality/tourism domains, the present study findings build a robust foundation to evaluate how this strand of literature has developed and evolved over time. More importantly, a comparative and quantitative analysis of marketing/service and hospitality/tourism journals delivers actionable insight for hospitality and tourism scholars.

This study reframes the scientific knowledge regarding the evolution of CE literature, along with interrelation patterns, to advance relevant studies in hospitality and tourism. Findings offer a broadened perspective on the concept’s scholarly development and current research trends, thereby charting a new path for future research.

By adopting three review techniques, to the best of the authors’ knowledge, this state-of-the-art analysis is the first to compare and synthesize a large volume of marketing/service and hospitality/tourism research, assembling a springboard from which to evaluate how CE studies have developed.

This paper aims to use intellectual thinking to solve the problem of how to carry out collaborative governance of the academic ecological environment.

This paper selected academic ecosystem, academic ecological environment and academic ecological governance as three keywords to collect literature data. The hot issues on the academic ecological environment and its governance system in China are analyzed, with visualization software such as Citespace, China National Knowledge Infrastructure (CNKI) and other literature metrology tools.

The previous research literature cannot fully explain the governance mechanism of the academic ecological environment. In this paper, the authors use the way of group cooperation thinking in the crowd science category, to build a collaborative governance framework of the academic ecological environment from the national level, the institutional level and the individual level, taking full advantage of the in-depth analysis on crowd intellectual thinking.

The authors use the way of group cooperation thinking in the crowd science category, to build a collaborative governance framework of academic.

This paper presents recently published resources on library instruction and information literacy, providing an introductory overview and a selected annotated bibliography of publications covering various library types, study populations and research contexts.

This paper introduces and annotates English-language periodical articles, monographs, dissertations, reports and other materials on library instruction and information literacy published in 2020.

The paper provides a brief description of all 440 sources and highlights sources that contain unique or significant scholarly contributions.

The information may be used by librarians, researchers and anyone interested in a quick and comprehensive reference to literature on library instruction and information literacy.

The purpose of this study is to investigate how artificial intelligence (AI), as well as machine learning (ML) techniques, are being applied and implemented within supply chains (SC) and to develop future research directions from thereof.

Using a systematic literature review methodology, this study analyzes the publications available on Web of Science, Scopus and Google Scholar that linked both AI and supply chain from one side and ML and supply chain from another side. A total of 388 research studies have been identified through the before said three database searches which are further screened, sorted and finalized with 50 studies. The research thoroughly reviews and analyzes the final lists of 50 studies that were found relevant and significant to the theme of AI and ML in supply chain management (SCM).

AI and ML applications are still at the infant stage and the opportunity for them to elevate supply chain performance is very promising. Some researchers developed AI and ML-related models which were tested and proved to be effective in optimizing SC, and therefore, the application of AI and ML in supply chain networks creates competitive advantages for firms. Other researchers claim that AI and ML are both currently adding value while many other researchers believe that they are still not fully exploited and their tools and techniques can leverage the supply chain’s total value. The research found that adoption of AI and ML have the ability to reduce the bullwhip effect, and therefore, further supports the performance of supply chain efficiency and responsiveness.

This research was limited in terms of scope as it covered AI and ML applications in the supply chain while there are other dimensions that could be investigated such as big data and robotics but it was found too lengthy to include these additional dimensions, and therefore, left for future research studies that other researchers could explore and pursue.

This study opens the door wide for other researchers to explore how AI and ML can be adopted in SCM and what are the models that are already tested and proven to be viable. In addition, the paper also identified a group of research studies that confirmed the unexploited avenues of AI and ML which could be of high interest to other researchers to explore.

Although few earlier research studies touch based on the AI applications within manufacturing and transportation, this study is different and makes a unique contribution by offering a holistic view on the AI and ML implications within SC as a whole. The research carefully reviews a number of highly cited papers classifying them into three main themes and recommends future direction.