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The purpose of this study is to provide an extensive bibliometric literature review on authentic leadership as a term and concepts to deliver authentic leadership research with Publish and Perish (PoP) software, Mendeley software, and databases from Google Scholar index. Article located through PoP software based on a Scopus index database. A total of 122 articles refined and analyzed from various qualifying journals starts on January 1999 to December 2018 (20 years). The Mendeley software is used to help manage the references and brief resumes of each article. This chapter presents five clusters to review authentic leadership literature. The clustering process assisted by the VOSviewer software by matching words that often appear in each group, namely antecedents, commitment, performance, positive effects, organizational behavior, and leadership effectiveness. Each of these clusters shows authentic leadership research areas. The five clusters produced through the VOSviewer software provide an overview and research stream of the authentic leadership. Researchers and practitioners need to pay attention to trends and research areas in authentic leadership for improving authentic leadership development.

This chapter honors the opportunity I have had to learn with David Maines over the past 35 years. I connect my research on communication and disability, specifically among individuals who are blind and visually impaired, to Maines' discussion of narratives incorporating Rawlins' exploration of similarity and difference. I discuss narratives of disability as difference using three examples: A short story written by H. G. Wells; the American with Disabilities Act; and interviews conducted with elite blind goalball athletes. I conclude with 10 lessons learned about disability and difference including that the goal of my research is to help us all perceive disability as a difference that matters, but not as a difference that disables.

Based on a review of multiple literatures, a comprehensive content domain of essential intercultural competencies for effective global leaders is presented. This domain is then used to guide the development of the Global Competencies Inventory (GCI), a 160-item self-report measure that assesses the degree to which individuals possess the intercultural competencies that are associated with global leader effectiveness. Using sample sizes ranging from several hundred to nearly 9,000 subjects, evidence from several studies is presented showing the GCI to have convergent validity, predictive validity, and freedom from demographic and ethnic subgroup biases. Implications for theory and future research are also discussed.

Studies of inequality in higher education on both undergraduate and graduate levels have rarely examined experiences of Asians and Pacific Islanders (APIs). In this study, we focus on the experiences and outcomes of API students in doctoral education. More specifically, we examine socialization experiences and research productivity of three groups of students: domestic API, international API, and domestic white students. The results, based on a national cohort of PhD students in biology, reveal notable differences in experiences and outcomes of domestic and international API students. Although variation in socialization experiences explains differences in research productivity in the first year, that is not the case in the second year of doctoral study. In the second year, international API students have publication productivity comparable to their white peers, despite less favorable socialization experiences. Domestic API students, however, have lower research productivity than their white peers, even though they have comparable socialization experiences. Given the presumption of APIs’ success, especially in the STEM fields, findings for domestic API students are surprising and not aligned with the model minority stereotype. Contributions to research on API students, doctoral education, and socialization theory are discussed.

The objective of this research work is to study the artificial intelligence (AI)-based product benefits and problems of the agritech industry. The research variables were developed from the existing review of literature connecting to AI-based benefits and problems, and 90 samples of primary data from agritech industry managers were gathered using a survey of a well-structured research questionnaire. The statistical package of IBM-SPSS 21 was utilized to analyze the data using the statistical techniques of descriptive and inferential statistical analysis. Results show that better information for faster decision-making has been ranked as the topmost AI benefit. This implies that the executives of agritech units have a concern about the quality of decisions they make and resistance to change from employees and internal culture has been ranked as the topmost AI problem.