Evaluating Mental Workload for Improved Workplace Performance

Evaluating Mental Workload for Improved Workplace Performance

Arturo Realyvásquez-Vargas, Karina Cecilia Arredondo-Soto, Guadalupe Hernández-Escobedo, Jorge González-Reséndiz
Indexed In: PsycINFO®, SCOPUS
Release Date: November, 2019|Copyright: © 2020 |Pages: 334
DOI: 10.4018/978-1-7998-1052-0
ISBN13: 9781799810520|ISBN10: 1799810526|EISBN13: 9781799810537
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Description & Coverage
Description:

Employees of different labor sectors are involved in different projects and pressed to deliver results in a specific period of time, which increases their mental workload. This increase can lead to a high mental workload, which in turn leads to a decline in job performance. Therefore, strategies for managing mental workload and promoting mental health have become necessary for corporate success.

Evaluating Mental Workload for Improved Workplace Performance is a critical scholarly book that provides comprehensive research on mental workload and the effects, both adverse and positive, that it can have on employee populations as well as strategies for decreasing or deleting it from the labor sector. Highlighting an array of topics such as psychosocial factors, critical success factors (CSF), and technostress, this book is ideal for academicians, researchers, managers, ergonomists, engineers, industrial designers, industry practitioners, and students.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Academics
  • Critical Success Factors (CSF)
  • Higher Education
  • Manufacturing
  • Mental Workload
  • Performance evaluation
  • Psychosocial Factors
  • Quality Management
  • Six Sigma (SS)
  • Technostress
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Editor/Author Biographies

Arturo Realyvásquez-Vargas has studied Ergonomics since 2008. At the beginning, he contributed to this sicence developing an expert system to measure ergonomic compatibility of advanced manufacturing technology. Most recently, he developed the Macroergonomic Compatibility Questionnaire (MCQ), he proved that macroergonomic compatibility has positive effects on work systems performance, and he proposed the macroergonomic compatibility index (MCI). He has published and edited books in recognized publishers; moreover, he has published articles in journals indexed in the JCR. He is member of the National Researchers System of the CONACYT. Currently, he works as full time professor in Instituto Tecnológico de Tijuana. He offers the classes of Ergonomics, Operations Research, and Research Fundamentals.

Karina Cecilia Arredondo-Soto studied Industrial Engineering at the Tijuana Institute of Technology where she continued studying a Master Degree in Industrial Engineering too; with a minor in Manufacturing. She has a Ph.D. in Industrial Engineering at the Ciudad Juarez Institute of Technology. She is a full-time teacher at the Autonomous University of Baja California since 2012 and an invited Professor at the Tijuana Institute of Technology since 2008. Her interest area is work studies to improve productivity in organizations through the collaborative work with the industrial regional sector.
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