Search

Objective: This study investigates the relationship of living environment factors with satisfaction, work engagement, perceived productivity, and stress among teleworkers. Background: Given the increase in telecommuting since the onset of the pandemic, the study aims to identify how to create an optimum environment for telecommuting workers. Methods: By examining the relationships among these factors via multiple regression analysis, a comprehensive investigation of the telecommuting working environment is conducted, encompassing physical aspects and facilities as well as lifestyle rhythms and relationships with housemates. In doing so, the author identifies measures to create a more favorable living environment. The work environment of remote workers is examined from various perspectives using the framework of the SHEL model: Software (work content, lifestyle, etc.), Hardware (furniture, equipment, etc.), Environment (indoor environment), and Liveware (relationships with family members who reside with the worker). Results: The results suggest that positive factors, such as satisfaction and work engagement, are strongly influenced by the degree of job autonomy and the availability of a workspace dedicated to personal use. Negative aspects, such as stress, are significantly impacted by environmental noise, interruptions due to household tasks, and the use of ergonomic furniture. [ABSTRACT FROM AUTHOR]

Objective This study investigates the relationship of living environment factors with satisfaction, work engagement, perceived productivity, and stress among teleworkers. Background Given the increase in telecommuting since the onset of the pandemic, the study aims to identify how to create an optimum environment for telecommuting workers. Methods By examining the relationships among these factors via multiple regression analysis, a comprehensive investigation of the telecommuting working environment is conducted, encompassing physical aspects and facilities as well as lifestyle rhythms and relationships with housemates. In doing so, the author identifies measures to create a more favorable living environment. The work environment of remote workers is examined from various perspectives using the framework of the SHEL model: Software (work content, lifestyle, etc.), Hardware (furniture, equipment, etc.), Environment (indoor environment), and Liveware (relationships with family members who reside with the worker). Results The results suggest that positive factors, such as satisfaction and work engagement, are strongly influenced by the degree of job autonomy and the availability of a workspace dedicated to personal use. Negative aspects, such as stress, are significantly impacted by environmental noise, interruptions due to household tasks, and the use of ergonomic furniture.

Xiulian Wu, Xin Wang, Huimin Guo, Lili Zhang, Guangjiang Wu Department of Nursing, Beijing Youan Hospital, Capital Medical University, Beijing, People’s Republic of ChinaCorrespondence: Xin Wang, Department of Nursing, Beijing Youan Hospital, Capital Medical University, No. 8, You an Men Outer Street, Fengtai District, Beijing, 100069, People’s Republic of China, Tel +86-13521101275, Email Wx220929@163.comObjective: To explore the application effect of the (software factors, hardware factors, environmental factors, parties and other factors, SHEL) model in respiratory tract exposure protection of staff in temporary COVID-19 hospitals.Methods: 207 Staff members working in the isolation units of Fangcang shelter hospitals between 20 May 2022 and 5 June 2022 were selected as research subjects. The SHEL model was used to protect and manage the respiratory exposure of the isolation unit staff to the novel coronavirus. The incidence of respiratory exposure among the staff in the isolation units was compared before the SHEL model’s implementation (20 May 2022– 28 May 2022) and afterwards the SHEL model’s implementation (29 May 2022– 5 June 2022).Results: Before the implementation of the SHEL model, a total of nine cases (4.35%) from 207 workers had respiratory exposure. Occurrence location: six cases in the isolation room (one-out room, level-one protection zone) and three cases in the drop-off area for patients outside the ward. After implementation, a total of two cases (0.97%) of respiratory tract exposure occurred among the 207 staff members; both occurred in the unprotected zone (two-out room, level-two protection zone), and the difference was statistically significant before and after the implementation (P < 0.05).Conclusion: New coronary pneumonia Fangcang shelter hospitals should use the SHEL model to manage the respiratory exposure of their isolation unit staff to reduce the respiratory exposure risk to staff in isolation units.Keywords: SHEL model, new coronavirus, makeshift hospital, respiratory tract exposure, protection management

Human Resources of a system, as the most significant part of the system’s internal stakeholders, compared to other resources, may be considered to be the most important competitive and strategic resource of the system. On the basis of this fact, the present study utilizes the “SHEL Model” and addresses the “Hotel Industry in Isfahan city” as the primary system of interest. Specifically, this study is interested to focus on this industry’s “Human Resources Sub-System” and, apply the system thinking to identify internal and external strategic effective factors on improvement of the Human Resources Sub-System Management. This work, as an analytical-descriptive research, is, in fact, to utilize the SHEL Model and to study a population --which consists of “Iran’s Hotel Industry’s Elites” who are somehow relevant to the main area of this research”, “High Level/Middle Level/Executive Mangers”, “Human Resources Managers”, and “Experts/personnel” who are all actively involved in the Human-Resources Sub-Systems of the Isfahan’s famous hotels-- from which, finally, 155 participants are also randomly drawn using “Stratified Sampling Method” to be inquired as well. Library Studies, Face-to-Face/Telephone Interviews, and Researcher –made Questionnaire are all three ways specifically used for the purpose of gathering all required data and information. Analysis of this work’s hypotheses indicates that “1.The System Support for Satisfying the Human Powers. 2. Assimilation and Promotion. 3. Collaboration (Cooperation) and Interaction. 4. Strategic Capabilities may be considered to be internal effective factors, and, on the other side, 1. Laws/Rules Standards. 2. Technologies 3. Geography and 4. Economics may be regarded as the system external effective factors.

Abstract: This paper examines how human performance factors in air traffic control (ATC) affect each other through their mutual interactions. The paper extends the conceptual SHEL model of ergonomics to describe the ATC system as human performance interfaces in which the air traffic controllers interact with other human performance factors including other controllers, software, hardware, environment, and organisation. New research hypotheses about the relationships between human performance interfaces of the system are developed and tested on data collected from air traffic controllers, using structural equation modelling. The research result suggests that organisation influences play a more significant role than individual differences or peer influences on how the controllers interact with the software, hardware, and environment of the ATC system. There are mutual influences between the controller–software, controller–hardware, controller–environment, and controller–organisation interfaces of the ATC system, with the exception of the controller–controller interface. Research findings of this study provide practical insights in managing human performance interfaces of the ATC system in the face of internal or external change, particularly in understanding its possible consequences in relation to the interactions between human performance factors. [Copyright &y& Elsevier]

An argument is advanced for the inclusion of ergonomics in the design and operation of aircraft systems and in the investigation of aircraft accidents. [ABSTRACT FROM PUBLISHER]

Medical devices play a critical role in care and treatment. The human-related failures can significantly affect the safety of patients in clinical use of medical devices. This study develops a comprehensive risk assessment model for identification and evaluation of failures which may occur in the clinical use of medical devices. First, the "Swiss cheese" model and SHEL model (the acronym of software, hardware, environment, and liveware) are integrated to comprehensively identify the potential human errors. Then, a new failure mode and effects analysis (FMEA) approach improved by rough set theory and grey relational analysis is developed to assess the risk of the identified failures. The proposed method integrates the strengths of the "Swiss cheese" and SHEL model in identifying human failures from both the vertical and horizontal perspectives of the system, and the advantages of the improved FMEA approach in flexibly manipulating vague information in risk evaluation without much priori information. Finally, the proposed method is applied in clinical use of respirator to verify its efficiency and effectiveness. • A risk assessment model is developed to improve the safe use of medical devices. • Swiss cheese model and SHEL model are integrated to identify the human failures. • A FMEA method based on rough set theory and grey relational analysis is proposed. • The method is applied in clinical use of respirator to verify its effectiveness. [ABSTRACT FROM AUTHOR]

The paper aims to identify and evaluate the factors influencing the human performance of Air Traffic Control (ATC) in Thailand. The objective of the study has been operationalized utilizing the extended SHEL model of ergonomics. Fuzzy Graded Mean Integration method has been employed to establish the importance and Fuzzy Additive Ratio Assessment method was utilized to measure actual performance of the factors on the response received from all ten air traffic control centers of Thailand. The finding of study facilitates the insights for improvement of various dimensions and constructs for an effective human performance management for ATC in Thailand. The study fulfills the theoretical gap by employing the Fuzzy Multi Criteria Decision Making (MCDM) method of identifying and measuring human performance in ATC. • Evaluates the human performance factors for ATC utilizing Fuzzy MCDM method. • Renders insights for effective human performance management for ATC in Thailand. • Suggests improvement for constructs hardware, software, environment & organization. • Contributes by including prominent dimensions to the extended SHEL model. [ABSTRACT FROM AUTHOR]