Editorial: Optimizing the management system and ergonomics in organizations, appropriate to the personality of employees
Lucian–Ionel Cioca, Sebastian Kot, Mihaela Laura Bratu
- 发表年份
- 2023
- 引用次数
- 3
- 访问权限
- 开放获取
摘要
A reflective, inductive exercise to increase the productivity of employees in the organization was proposed. Starting from the psychological and behavioral profile of the engineers, the ergonomic characteristics of the work environment in the organization are particularized: the physical environment (Bratu și Cioca, Managerial strategies for optimizing ergonomics in organizations, tailored to the personality of engineers, to improve the quality of life and security of employees 2019) -elements of interior design and the psycho-social environment -the organizational management (Bratu și Cioca, Adaptation of managerial style to the personality of engineers, in order to increase performance in the workplace 2018). Following the modeling of the work environment according to the defining features of the engineers, as a socio-professional category, the well-being of the employees is analyzed, because the ergonomic space is corresponding to the internal needs. Well-being is compared to employee outcomes and productivity at the organizational level. The proposed approach is to build the physical work environment and to choose the management strategy according to the needs and expectations of employees, based on the relationship of psychological characteristics of engineers, namely ergonomics, well-being, and productivity.The Research Topic covers the areas of psychology, organizational psychology, management, and ergonomics. This include, but is not limited to, the following:• Analysis of the current state of scientific knowledge in the field of engineering psychology, management strategies and ergonomics specific to the organizations in which engineers work; • Studying the psychological and behavioral profile of engineers; • Comparing the psychological and behavioral profile of engineers with that of other socioprofessional categories;• Mathematical modelling of employees' behaviour at work, following the experimental application of the results on the psychological and behavioral profile of engineers at the organizational level, in order to increase their well-being and productivity;• The impact of managerial styles on the human psyche.A number of 6 articles were published, which have 26 authors. The topics addressed in the articles refer to the following keywords: the COVID-19 pandemic, safety measures, sustainability, robots, macroergonomy, well-being, productivity, human -machine interaction, the role of supervisor, mental health. The topics focus on two major topics: the man-machine-work environment relationship and the state of mental health, in the context of managerial relationships.The human -machine -working environment relationship was addressed transdisciplinary in the paper "Collaboration Between Humans and Robots in Organizations: A Macroergonomic, Emotional, and Spiritual Approach" (https://www.frontiersin.org/articles/10.3389/fpsyg.2022.855768 /full). This brief research report explores the new technologies' impact, especially robots, on the company and on employees' well-being and spiritual fulfillment. Starting from the main question of the study "How can companies improve their market performance using their human capital?", the qualitative research presented in this article focused on an integrated systemic-emotional-spiritual approach of human capital. The research results consist of two managerial instruments for human capital valorization (HCV) inside organizations.The human-machine relationship was modeled in the article "Effects of human-machine interaction on employee's learning: A contingent perspective" (https://www.frontiersin.org/articles/10.3389/fpsyg.2022.876933/full) in which it has being sought to advance the understanding of how Artificial Inteligence influences employee's learning in the era of digital economy. The authors introduce the concept of human-machine interaction and point out that humanmachine interaction has a U-shaped curvilinear relationship with employee's learning and employee's vita
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