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China after 1949, especially since entering the 21st century, significant progress has been made in leadership research under Chinese context. However, so far there has been no systematic review and prospect of China's leadership research in the past 70 years. Therefore, with the help of scientific visualization software Citespace, this paper analyzes the research papers on leadership in the context of China from the top international journals of management science and applied psychology (1949–2018), supplemented and verified the previous research conclusions based on qualitative review, and quantitatively demonstrated the research evolution of leadership field.

Using a scientific visualization tool CiteSpace and 145 international leadership works, which were published in 64 top international journals and collected from the Web of Science database, and 852 domestic works which were published in 28 top domestic journals and collected from the CNKI database from 1949 to 2018, we draws keyword co-occurrence knowledge graph and keyword strategy map to visualize the landscape and evolution of leadership research and analyze the hot topics and research trends in the field of leadership.

The research found that: (1) Before 2002, there were only 7 articles published in 64 international top journal, mainly focusing on Western leadership theories such as transformational, cross-cultural comparison and the adaptability in Chinese context; (2) From 2003 to 2012, scholars had begun to introduce mainstream quantitative research paradigm in international academic community; (3) From 2013 to 2018, researches tended to be synchronized, with 461 and 99 papers published respectively. How emerging leaderships (such as ethical leadership) affect on various emerging outcome variables (such as creativity, voice behavior, unethical pro-organizational behavior etc.) is hot topic for future research.

Different from the previous qualitative reviews on organizational culture research, this paper, for the first time, uses bibliometric research methods to systematically analyze the evolution path of leadership research during the 70 years of China(1949–2018, and puts forward the future research prospects.

AI is an emerging tool in HRM practices that has drawn increasing attention from HRM researchers and HRM practitioners. While there is little doubt that AI-enabled HRM exerts positive effects, it also triggers negative influences. Gaining a better understanding of the dark side of AI-enabled HRM holds great significance for managerial implementation and for enriching related theoretical research.

In this study, the authors conducted a systematic review of the published literature in the field of AI-enabled HRM. The systematic literature review enabled the authors to critically analyze, synthesize and profile existing research on the covered topics using transparent and easily reproducible procedures.

In this study, the authors used AI algorithmic features (comprehensiveness, instantaneity and opacity) as the main focus to elaborate on the negative effects of AI-enabled HRM. Drawing from inconsistent literature, the authors distinguished between two concepts of AI algorithmic comprehensiveness: comprehensive analysis and comprehensive data collection. The authors also differentiated instantaneity into instantaneous intervention and instantaneous interaction. Opacity was also delineated: hard-to-understand and hard-to-observe. For each algorithmic feature, this study connected organizational behavior theory to AI-enabled HRM research and elaborated on the potential theoretical mechanism of AI-enabled HRM's negative effects on employees.

Building upon the identified secondary dimensions of AI algorithmic features, the authors elaborate on the potential theoretical mechanism behind the negative effects of AI-enabled HRM on employees. This elaboration establishes a robust theoretical foundation for advancing research in AI-enable HRM. Furthermore, the authors discuss future research directions.

This study analyzes the trends and patterns of strategic and innovative macroeconomic variables during recession or slowdown periods of 10 countries – Brazil, the United States, UK, Germany, France, China, Japan, India, Saudi Arabia, and South Korea for the period 1980–2018, which includes major recessions like the 1982 debt crisis, 1991 economic crisis, 1997 Asian Financial crisis, and 2008 Sub-prime crisis. This study devised two models – Logistic Regression and a Range-based Custom-Made Recession-cum-Economy State indicator, based on Dynamic Ordinary Least Squares (DOLS) model parameters. Results for the logistic regression model show that most of the marginal effect values are positive for variables linked with globalization indicating that increase in adverse impact on such variables increases the probability of recession. The custom-made statistical index provides an individual country-wise range, along with a global range for the weighted total of the variables, the weights for which are derived from the DOLS model, which has a 59.66% accuracy in estimating the condition of an economy. The recent worldwide experience indicates that probability of recessions has decreased, and slowdowns have increased over a period. This is evident from the Cumulative Trend of Economic State analysis that indicates that the recession probabilities of countries have decreased 1990 and that of slowdown have become highly volatile.

The purpose of this research is to understand the long‐run dynamics between returns, commodity prices, volatility, and US equity investment into Brazil. This research is prompted by the rapid increase in foreign equity investment into Brazil.

To address long‐run dynamic nature of the variables, multivariate autoregressive model is fitted for the period of January 1998 to May 2008. To achieve identification of this model, restrictions are imposed based on underlying financial theory and the nature of the data.

The paper finds consistent with a long literature, that US institutional equity investment is forecasted by past returns on the Brazilian stock index (BOVESPA). The paper also documents the important role of commodity prices in forecasting US equity flows to Brazil, a variable that has not been considered in much of existing literature. Finally, the paper uncovers a strong relationship between US equity flows to Brazil and measures of risk. The paper documents that an unexpected shock to US equity flows increases the volatility of the Brazilian equity market beyond what could be predicted by other variables in the system. The strong joint dynamics among US portfolio equity flows and the risk and return of the Brazilian equity market demonstrates the need for policy makers in Brazil to monitor short‐term portfolio flows.

There is a broad literature on the dynamics of US investment in emerging and developed markets but very little work focuses directly on Brazil. Additionally, this work is one of the first to explicitly consider the role of commodity prices on the dynamics of foreign equity flows to resource rich nations.