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This paper analyzes citations from the first 20 volumes of Advances in Management Accounting using Google Scholar in April and May, 2013.

This study assesses the success of the first 20 volumes of Advances in Management Accounting using citation analysis. Four citation metrics are used. The four citation metrics are: (1) total citations since year of publication until April and May, 2013, (2) citations per author since year of publication until April and May, 2013, (3) citations per year since year of publication until April and May, 2013, and (4) citations per author per year since year of publication until April and May, 2013.

The top 20 authors for each citation metric, the top 20 faculties for each citation metric, and the top 20 doctoral programs for each citation metric are determined. Furthermore, the top 20 articles are determined using two citation metrics and the H-index for Advances in Management Accounting is computed.

Potential doctoral students, current doctoral students, “new” Ph.D.s with an interest in management accounting, current management accounting faculty, department chairs, deans, other administrators, journal editors, and journal publishers will find these results informative.

Unlike many other quantitative characteristics used to determine higher education rankings, opinion-based peer assessment scores and the factors that may influence them are not well understood. Using peer scores of US colleges of engineering as reported annually in US News and World Report (USNews) rankings, the purpose of this paper is to provide some insights into peer assessments by statistically identifying factors that influence them.

With highly detailed data, a random parameters linear regression is estimated to statistically identify the factors determining a college of engineering’s average USNews peer assessment score.

The findings show that a wide variety of college- and university-specific attributes influence average peer impressions of a university’s college of engineering including the size of the faculty, the quality of admitted students and the quality of the faculty measured by their citation data and other factors.

The paper demonstrates that average peer assessment scores can be readily and accurately predicted with observable data on the college of engineering and the university as a whole. In addition, the individual parameter estimates from the statistical modeling in this paper provide insights as to how specific college and university attributes can help guide policies to improve an individual college’s average peer assessment scores and its overall ranking.

Reflecting emerging concerns about Principles of Responsible Management Education’s (PRME's) reach beyond the West, the authors provide an analysis of its contribution to responsible management development in the Middle East and North Africa (MENA) region.

Drawing on 18 PRME MENA signatories' Sharing Information on Progress Reports, the authors examine levels of engagement with PRME, as well the practices used in the region to progress its six principles. The authors examine the depth of integration based on Rusinko's (2010) typology and its success in addressing local responsible management challenges.

The analysis revealed modest levels of engagement with PRME in MENA. Consistent with other regions, for those actively participating, the authors identified a wide variation in PRME responses. First, the authors found wide variation in the interpretation of the six principles. Second, the authors found a diversity of practices, especially the extent to which efforts were linked to progressing local management challenges. Third, the authors also found variability relating to the depth of PRME's integration into the curricular of MENA signatories with, most displaying Ruskino's (2010) narrower approaches.

The authors address calls to understand the contribution of PRME beyond Western contexts and offer suggestions for how PRME can be strengthened to facilitate responsible management development in MENA.

This paper ranks university faculties, accounting doctoral programs, individual behavioral accounting researchers, and the most influential articles based on Google Scholar citations to publications in Advances in Accounting Behavioral Research (AABR). All articles published in AABR in its first 15 volumes are included and four citation metrics are used. The paper identifies the articles, authors, faculties, and doctoral programs that made the greatest contribution to the development of AABR. Such an analysis provides a useful basis for understanding the direction the journal has taken and how it has contributed to the literature (Meyer & Rigsby, 2001). The h-index and m-index for AABR indicates it compares favorably among its peers. Potential doctoral students with an interest in behavioral accounting research, “new” accounting faculty with an interest in behavioral accounting research, current behavioral accounting research faculty, department chairs, deans, and other administrators will find these results informative.

Although numerous studies recently have appeared that identify the most‐cited scholars and works in the general criminology and criminal justice literature and in several specialty areas, no previous citation study has specifically examined the police studies literature. Through an analysis of 370 articles and research notes appearing from 1991 to 1995 in the areas of police studies, published in Criminology, Justice Quarterly, and four academic periodicals devoted to police studies, we list the 50 most‐cited scholars and the 36 most‐cited works. The lists of the most‐cited scholars and works in the specialty area of police studies are compared to general lists taken from leading criminology and criminal justice journals and introductory textbooks. We conclude with some thoughts about the relevance of citation analysis to specialists in police studies.

Bibliometric analysis allows examining a large volume of bibliometric data within an objective perspective. The purpose of this study is to conduct a bibliometric analysis to reveal the current status of human resource management (HRM) studies while exploring research trends and future directions.

Web of Science was chosen to identify studies in the field. In total, 1,404 articles were selected for bibliometric analysis. The VOSviewer program was used to analyze and visualize obtained data.

The findings revealed that the most frequently used keywords were job satisfaction, hospitality, tourism, HRM and work engagement. Karatepe and Baum were the most cited authors and Inoue (2011), Felps (2009), Shaw (2011), Gursoy (2008) and Cooper (2006) were the most cited documents in HRM studies in the hospitality and tourism domain.

The study provides some theoretical and practical implications. The study findings can give researchers and practitioners insights into the current position of HRM studies and trend topics. Besides, it can be used as a practical guide for determining potential gaps in the literature.

This study contributes to the literature by bringing HRM studies in the hospitality and tourism fields together and revealing the current position of the inquiry by determining the most cited authors, articles, journals, organizations and collaborations among authors.

This paper seeks to address scholarly concerns related to the performance of the “new” Education Resources Information Center (ERIC) database and provides education researchers and those who teach education research (at the Reference Desk, in a lab or “chatting” with a student at 2.00 am) a means of evaluating and selecting alternative databases based on their relative coverage of major education journals. Alternative research strategies are discussed in light of ERIC's loss of position and importance as a single, comprehensive education resource. Broader implications regarding the role of librarians as educators are presented.

The journal indexing coverage of ERIC (old and new) and alternative databases were checked against two recent Institute of Scientific Information (ISI) Journal Citation Reports (most cited journals in 2004 and 2005) in three categories: Education and Educational Research, Special Education, and Educational Psychology. The results are presented to show the percentage of journals indexed by each database in each of these three categories.

The “new” ERIC database is not indexing and keeping up to date with the same number of major education journals as the “old” ERIC. Other databases are performing better and provide researchers with more comprehensive coverage of scholarly education sources.

Aimed at academic reference librarians and those who teach research methods to education students, this comparative study provides an objective scale to assess the current state of education research indexing and offers advice to meet the information needs of education students and scholars at all levels. It is intended to answer these practical questions: will education researchers need to use other databases to supplement or replace the “new” ERIC? And, if so, what are the better options for varying research needs?

Tourism review (TR) celebrates its 75th anniversary in 2020. The purpose of this paper is to proffer a holistic overview of TR based on bibliometric analyses of the publications from 2001 to 2019.

The research method entails performance analyses and science mapping analyses on TR. The performance analyses engage a sequence of bibliometric statistics, including citation analysis, most cited authors and papers, most influential and productive authors, countries and institutions to name a few. The authors also used visualization of similarities viewer to perform the science mapping analysis of TR based on co-citations of cited authors, bibliographic couplings of authors and countries and co-occurrences of authors’ keywords from 2001 to 2019 and from 2014 to 2019. To examine the thematic evolution using SciMAT, a de-duplicating process was conducted in which 1,485 keywords were refined to 128 word groups before thematic evolution map and strategic diagrams for the three sub-periods were generated.

The thematic evolution map revealed ten thematic areas. The key themes of each of these thematic areas are destination studies, tourism destination and hospitality tourism; destination studies, competitiveness and innovations, co-operations and experience tourism; business studies, sports tourism, tourism destination and satisfaction; quality studies, networks, social studies and co-operation; business model and sports tourism; tourism management and tourism destination; political studies, perception and satisfaction; political studies, sustainability studies, social studies and health tourism; behavior, perception and satisfaction; and cultural tourism and tourism destination.

The study has managed to unveil the key trends of publications, authors, affiliations, nations and authors’ keywords. The findings are useful for potential authors to have a quick snapshot of what is expected from and what is happening in TR.

The study serves as a historical record of TR’s publications. It presents comprehensive bibliometric analyses of the publications in TR and identifying the key research trends.

Tourism Review（TR）将于2020年庆祝其成立75周年。本论文研究的目的是基于2001年至2019年出版的相关文献数量加以分析, 并对TR进行全面概述。

研究方法需要对TR进行性能分析和科学映射分析。绩效分析涉及一系列的文献数量统计, 包括引用分析：引用最多的作者和论文, 最具影响力和生产力的作者, 国家和机构。作者们还使用VOSviewer对引用作者的共同引用, 作者与国家/地区的书目耦合以及2001年至2019年以及2014年至2019年共同出现的作者关键词来进行TR的科学制图分析, 并使用SciMAT, 进行了重复数据删除过程, 将1485个关键字简化为128个词组, 进行随后三个阶段主题性的进化图与策略图的制作。

从2001年到2019年, TR的出版物和其引用率出现了巨大的飞跃, 因为它引起了全世界各项研究人员, 机构和国家的极大兴趣。被引用最多的文献和最有影响力的作者多来自发达国家的机构, 包括美国（US）, 英国（UK）以及其他欧洲和大洋洲国家。但是, 亚洲和非洲大陆的国家也正在加入潮流, 并开始在TR中树立影响力。

该研究设法揭示了出版物, 作者, 隶属关系, 国家和作者的关键词的主要趋势。这些发现对于有潜能的作者快速了解TR预期和正在发生的事情很有帮助。

这项研究可作为TR出版物的历史记录。它将提供TR出版物的综合文献计量分析, 并确定了关键的研究趋势。

旅游期刊, 文献计量分析, 科学制图, 书目耦合, 共引, 共现, VOSviewer, SciMAT

研究论文

Tourism Review (TR) celebra su 75 aniversario en 2020. El objetivo de esta investigación es ofrecer una visión global de TR basada en análisis bibliométricos de las publicaciones de 2001 a 2019.

el método de investigación implica análisis de rendimiento y análisis de mapeo científico en TR. Los análisis de desempeño involucran una secuencia de estadísticas bibliométricas, que incluyen análisis de citas, autores y artículos más citados, autores más influyentes y productivos, países e instituciones, por nombrar algunos. Los autores también utilizaron el VOSviewer para realizar el análisis de mapeo científico de TR basado en citas compartidas de autores citados, acoplamientos bibliográficos de autores y países y co-ocurrencias de las palabras clave de los autores desde 2001 hasta 2019 y desde 2014 hasta 2019. Para examinar el evolución temática utilizando SciMAT, se llevó a cabo un proceso de desduplicación en el que se refinaron 1485 palabras clave a 128 grupos de palabras antes de que se generaran mapas de evolución temáticos y diagramas estratégicos para los tres subperíodos.

hay un salto gigantesco en las publicaciones, así como las citas de TR de 2001 a 2019, ya que ha ganado mucho interés por parte de varios investigadores, instituciones y países de todo el mundo. La mayoría de los autores más citados e influyentes provienen de instituciones de países desarrollados, incluidos los Estados Unidos (EE. UU.), El Reino Unido (Reino Unido) y otras naciones europeas y de Oceanía. Sin embargo, países de los continentes asiático y africano se están uniendo al carro y comenzaron a establecer su influencia en TR.

el estudio ha logrado revelar las tendencias clave de publicaciones, autores, afiliaciones, naciones y palabras clave de los autores. Los hallazgos son útiles para que los autores potenciales tengan una instantánea rápida de lo que se espera de lo que está sucediendo en TR.

el estudio sirve como un registro histórico de las publicaciones de TR. Presenta análisis bibliométricos exhaustivos de las publicaciones en TR e identifica las tendencias de investigación clave.

The purpose of this paper is to determine the materials used in Masters' theses of the Agricultural Economics and Extension Department (AEE), FUTA during the period of 2005‐2009 with the aim of improving the existing collection development available for the students.

The study employed descriptive research design. Theses submitted for the award of M.Tech degree between 2005 and 2009 at the department of AEE, FUTA were examined. This was checked against the record of AEE (M.Tech) graduands obtained from the School of Postgraduate Studies. The population of the study was all the theses submitted during the periods under study. Data were extracted from title pages and reference lists. Extracted data were analysed using descriptive statistics.

It was found that journals were more consulted compared to other sources of information materials. AEE M.Tech students do not take much advantage of resources available on the web and internet. It was also revealed that highest citation was recorded in 2006, while 30.52 per cent of materials cited were 20 years old and above. In addition, more than half of the cited materials were contributed by single authors and foreign journals were more cited with 72 per cent than local journals with 28 per cent. Moreover, Journal of Agriculture Economics was found to be the most cited journal followed by Journal of Econometrics.

The paper highlights the information materials available and used by Master students of the Agricultural Economics and Extension Department for their research work and those which need to be added for a healthy collection.

Artificial intelligence (AI) is a significant game changer in human resource development (HRD). The launch of ChatGPT has accelerated its progress and amplified its impact on organizations and employees. This study aims to review and examine literature on AI in HRD, using a bibliometric approach.

This study is a bibliometric review. Scopus was used to identify studies in the field. In total, 236 papers published in the past 10 years were examined using the VOSviewer program.

The obtained results showed that most cited documents and authors are mainly from computer sciences, emphasizing machine learning over human learning. While it was expected that HRD authors and studies would have a more substantial presence, the lesser prominence suggests several interesting avenues for explorations.

This study provides insights and recommendations for researchers, managers, HRD practitioners and policymakers. Prioritizing the development of both humans and machines becomes crucial, as an exclusive focus on machines may pose a risk to the sustainability of employees' skills and long-term career prospects.

There is a dearth of bibliometric studies examining AI in HRD. Hence, this study proposes a relatively unexplored approach to examine this topic. It provides a visual and structured overview of this topic. Also, it highlights areas of research concentration and areas that are overlooked. Shedding light on the presence of more research originating from computer sciences and focusing on machine learning over human learning represent an important contribution of this study, which may foster interdisciplinary collaboration with experts from diverse fields, broadening the scope of research on technologies and learning in workplaces.