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The balance between power supply and demand gets more challenging when electrical networks switch from centralized thermal power plants to distributed renewable energy sources for…
Abstract
Purpose
The balance between power supply and demand gets more challenging when electrical networks switch from centralized thermal power plants to distributed renewable energy sources for power generation. Such problems present a diverse set of challenges that require a solution through system and control methods. Hence, the purpose of this study is to understand the issues faced by each actor in the power sector’s supply chain, which would restrict the stability of the power supply and quality of service.
Design/methodology/approach
This study provides a conceptual model, soft system methodology (SSM), for power supply management or grid integration issues through the mapping of identified issues with their possible solutions.
Findings
This study offers an analysis that uses methods of problem structuring to construct the major issues and measure technological advancements in the energy sector. This research highlights the need to integrate energy storage systems with the grid for the effective operation of the system to manage various power supply issues.
Research limitations/implications
SSM is used to establish a mechanism to manage grid integration problems by comparing established problems with their potential solutions. The resulting framework would help managers, researchers, policymakers, engineers and smart grid professionals to make the required and informed decisions on the management of grid integration issues and to form strategies fostering efficient and secure energy network.
Originality/value
The research is based on a conceptual framework for enhancing energy efficiency and integrated smart grid technology, which would contribute to a better supply of electricity and a more environmentally sustainable future.
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Keywords
Yuen-kiu Cheung, Jessica C.M. Li and Shimin Zhu
The aim of this study is to examine predictors and mediators of work-related stress among Hong Kong police officers.
Abstract
Purpose
The aim of this study is to examine predictors and mediators of work-related stress among Hong Kong police officers.
Design/methodology/approach
Quantitative secondary survey data were used, based on surveys collected from 335 police officers in Hong Kong between May and June in 2020.
Findings
It was found that operational stressors were directly and positively related to work-related stress among Hong Kong police officers. The more the operational stressors, the more the work-related stress. It was also found that internal procedural justice had an indirect effect on work-related stress via work engagement among Hong Kong police officers. More internal procedural justice fostered an increased work engagement, causing less work-related stress.
Research limitations/implications
Given that the nature of secondary cross-sectional survey data, causal relationships are difficult to make.
Originality/value
Results from this study contribute to the expansion of the job demands-resources model (the JD-R model). This study used structural equation modelling (SEM) for quantitative secondary survey data analysis, providing a more accurate understanding of this topic. This study provides insights into how to formulate relevant measures to reduce work-related stress in policing occupation.
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