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This bibliometric mapping study aimed to provide comprehensive insights into the global research landscape of cybernetics. Utilizing the biblioshiny function in R Studio, we conducted an analysis spanning 1958 to 2023, sourcing data from Scopus. This research focuses on key terms such as cybernetics, cybernetics systems, complex adaptive systems, viable system models (VSM), agent-based modeling, feedback loops and complexity systems.

The analysis leveraged R Studio’s biblioshiny function to perform bibliometric mapping. Keyword searches were conducted within titles, abstracts and keywords, targeting terms central to cybernetics. The timespan, 1958–2023, provides a comprehensive overview of the evolution of cybernetics-related literature. The data were extracted from Scopus to ensure a robust and widely recognized source.

The results revealed a rich and interconnected global research network in cybernetics. The word cloud analysis highlights prominent terms such as “agent-based modeling,” “complex adaptive systems,” “feedback loop,” “viable system model” and “cybernetics.” Notably, the journal Kybernetes has emerged as a focal point, with significant citations, solidifying its position as a key source within the cybernetics research domain. The bibliometric map provides visual clarity regarding the relationships between various concepts and their evolution over time.

This study contributes original insights by employing advanced bibliometric techniques in R Studio to map the cybernetics research landscape. The comprehensive analysis sheds light on the evolution of key concepts and the global collaborative networks shaping cybernetics research. The identification of influential sources, such as Kybernetes, adds value to researchers seeking to navigate and contribute to the dynamic field of cybernetics. Furthermore, this study highlights that cybernetics not only provides a useful framework for understanding and managing major economic shocks but also offers perspectives for understanding phenomena in various fields such as economics, medicine, environmental sciences and climate change.

Using the Canadian Census of 2016, the present study examines the Black and White gap in compensating differentials for their commute to work.

The data are from the Canadian Census of 2016. The standard Mincerian wage regression, augmented by commute-related variables and their confounders, is estimated by OLS. The estimations use sample weights and heteroscedasticity robust standard errors.

In the standard Mincerian wage regressions, Black men are found to earn non-negligibly less than White men. No such gap is found among women. When the Mincerian wage equation is augmented by commute duration and its confounders, commute duration is revealed to positively predict wages of White men and negatively associate with wages of Black men. At the same time, in the specifications including commute duration and its confounders, the coefficient for the dummy variable identifying Black men is positive with a non-negligible size. The latter pattern indicates wage discrepancies among Black men by their commute duration. Again, no difference is found between Black and White women in these estimations.

The main caveat is that due to data limitations, causal estimates could not be produced.

For the Canadian working men, the uncovered patterns indicate both between and within race gaps in the impact of commuting on wages. Particularly, Black men seem to commute longer towards relatively lower paying jobs, while the opposite holds for their White counterparts. However, Black men who reside close to their work earn substantially more than both otherwise identical White men and Black men who live far away from their jobs. The implications for research and policy are discussed.

This is the first paper focused on commute compensating differentials by race using Canadian data.

Organizations in today's changing environment face significant challenges, requiring continual innovation. Understanding oneself from the employee's perspective is paramount, especially in organizations and businesses, transforming all levels, accommodating new work paradigms and adapting to the post-pandemic business world. The authors examine the employees' critical dimensions, self-concept and resilience through self-reported studies to ascertain the impact on their performance in the organization. Self-concept, a multidimensional knowledge structure, implies the individual's description and examination, including psychological characteristics, attributes and skills. On the other hand, resilience is adapting appropriately to adversity, challenges and stressful situations and emerging unscathed. Resilience additionally leads to profound personal growth and acceptance of reality. It also endows the individual's sense of identity over time. It provides insights into work behavior and outcomes and fosters a positive psychological perspective to improve performance. Job performance is an observable individual performance that adds value and enables organizational goal achievement. To sum job performance is an achievement-related behavior. The research study examines the relationship between employee self-concept, resilience and performance elements (task, contextual and counterproductive work behavior).

Cross-sectional data were collected from 224 employees from the retail sector to test the hypotheses among self-concept, employee performance elements and resilience. SPSS 21.0 was used, and the authors conducted reliability, correlation and regression analysis using statistical tools to analyze the mediating effect.

Self-concept and employee performance elements have significant relationships. The mediating effect of resilience on the relationship between self-concept and counterproductive work behavior and self-concept and contextual performance is significant. In contrast, resilience does not impact the relationship between self-concept and task performance.

The authors examined a framework of untested variables, namely self-concept and the different factors of performance (task, contextual and counterproductive behavior). The authors investigated the mediating effect of resilience in the model, which was not previously explored.