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The aim of the present study is to perform bibliometric analysis on available literature on the subject of cultural diversity in the tourism sector. The Scopus database is used to retrieve the research article data and 133 articles were fetched over a period of 33 years (1988–2021). The further analysis is performed using and Biblioshiny tool package of R programming language and VOSviewer. The findings for study not only reveal the trends of publications but also produced the information on most influential authors, journals, and universities which are actively contributing to the subject of cultural diversity in tourism. Various network graphs are also generated using software to draw meaningful conclusions. The present study will not only aid future investigators in understanding the past developments on the subject of cultural diversity in tourism but also help industry professionals in formulating better strategies and tactics keeping in mind the cultural dimension of tourism. The present study is a maiden attempt to perform the bibliometric analysis on the subject of cultural diversity in tourism.

Purpose: In the early 2010s, Japanese society recognized and experienced a panic about increasing infertility and people’s lack of knowledge about human reproduction. This chapter focuses on several graphs that misrepresented or distorted scientific findings that were used in the campaign related to this panic and explores (1) how the graphs were made, used, and authorized, and (2) how they contributed to changes in discourses and policies.

Methodology/approach: Literature survey.

Findings: (1) The graphs were made in the field of obstetrics, gynecology, and reproductive medicine by questionable methods, including falsifying, trimming, and misunderstanding of data. (2) Researchers in the field of fertility study relied on secondary and tertiary sources thus ignoring and compounding errors. (3) Such inauthentic research was approved and politically mobilized by professional organizations, rather than being penalized or criticized. (4) Discourse based on such unscientific knowledge may have encouraged a pronatalist policy of promoting early marriage and education about human fertility and life planning, targeted at teenage girls.

Research limitations/implications: Any society suffering from a low birthrate can experience similar phenomena. This study focuses on Japan, but it has wider implications about how low integrity and quality of the presentation of medical research can cause these issues elsewhere in the world.

Social implications: This chapter includes a warning against biological explanations that contain unscientific connotations about gender.

Originality/value of study: This study confirms how gender-related policy in 2010s Japan was influenced by science that lacked research integrity and was of sub-standard quality.

This chapter offers a complementary view to the “quality of knowledge” perspective whereby citations to academic articles are a result of efficient market processes. The chapter suggests that any academic research can be seen through the prism of two types of knowledge networks – production and usage. Author(s) of papers are located in these two networks and their absolute and relative position in these networks can help the diffusion of the focal research. The hypotheses are tested on a dataset of 1,085 papers published in the top five management journals between 1993 and 1997. Results suggest that controlling for attributes of a paper, the position occupied by author(s) in the usage networks and production networks contributes substantially to future citations received by a paper in these five journals. However, under conditions of extreme prominence in the usage network, increases in prominence in the production network dampen increase in future citations. Similarly under conditions of extreme prominence in the production network, increases in prominence in the usage network dampen increase in future citations. Implications of these results are discussed in the context of knowledge creation, dissemination, and recognition efforts of authors.

This chapter investigates whether core competence of managers and their expansive (vs. specialized) managerial style affects firms' innovative ability, capacity, and efficiency. Using exogenous CEO departures as a natural experiment, it establishes a causal link between managerial capability and innovation. Importantly, it reveals that firms with talented managers receive significantly more nonself citations; make significantly lower self-citations and lesser citations to the others, indicating novel and explorative innovation achievements. Also, managers with higher general (specialized) ability are cited more (less) by patents from a wider range of fields. Lastly, career concern is identified as a mechanism linking higher ability and innovation.

Bibliometrics is an instrument that allows the analysis of evolution, current state, and future trends in a scientific field. Many disciplines, such as hospitality and tourism, have undertaken bibliometric studies. Based on a review of the leading bibliometric methods used in the main bibliometric documents published in the hospitality and tourism field between 2010 and 2019, this chapter aims to propose a bibliometric guide to help researchers undertake studies based on bibliometric techniques, both evaluative and relational. Any bibliometric research comprises five phases: setting the research questions, selecting the appropriate database, establishing the criteria to follow, filtering the data, applying the proper methods, and analyzing the results. This chapter elaborates on these stages, highlighting the most important evaluative and relational techniques to study the structure of a scientific field from a bibliometric approach. Bibliometric studies provide valuable knowledge for academia, governments, and research centers. It also helps journals' editors evaluate publications and make editorial decisions.

I want to start by citing myself, not because what I said previously was particularly profound or clever, not because the wise and gentle souls who have offered their essays have misread my work and I want to make corrective, and not because the paper titles that carry my name justifies such an act of hubris. In fact, to cite myself before I get to the citation I’ve been discussing, I’ve argued in A Methodology of the Heart that you should, “Quote yourself only to point out the error of your earlier thinking” (p. 144) and, quite honestly, I have no intention of doing that here. Nevertheless, I still want to start with an ostentatious and embarrassing self-citation. I once wrote, “Be grateful when, correctly or not, you are quoted” (p. 144) and as I write at the end of this public act of citation, I am indeed grateful and humbled.

Artificial neural networks (ANNs), which represent computational models simulating the biological neural systems, have become a dominant paradigm for solving complex analytical problems. ANN applications have been employed in various disciplines such as psychology, computer science, mathematics, engineering, medicine, manufacturing, and business studies. Academic research on ANNs is witnessing considerable publication activity, and there exists a need to track the intellectual structure of the existing research for a better comprehension of the domain. The current study uses a bibliometric approach to ANN business literature extracted from the Web of Science database. The study also performs a chronological review using science mapping and examines the evolution trajectory to determine research areas relevant to future research. The authors suggest that researchers focus on ANN deep learning models as the bibliometric results predict an expeditious growth of the research topic in the upcoming years. The findings reveal that business research on ANNs is flourishing and suggest further work on domains, such as back-propagation neural networks, support vector machines, and predictive modeling. By providing a systematic and dynamic understanding of ANN business research, the current study enhances the readers' understanding of existing reviews and complements the domain knowledge.