The purpose of this paper is to find if there is an existing trade‐off between service quality and cost when strategies of low‐cost accommodation and uncompromised reduction are…
Abstract
Purpose
The purpose of this paper is to find if there is an existing trade‐off between service quality and cost when strategies of low‐cost accommodation and uncompromised reduction are implemented.
Design/methodology/approach
The model is designed on hand system dynamics, using Vensim™ software. It consists of a situation where no side effects are interrupting the result. The modeled service system is designed as two parts: a situation where five sorts of customer variables are introduced, continued by a situation where low‐cost accommodation and uncompromised reduction change the system.
Findings
There is no typical trade‐off pattern between service quality and cost when implementing Frei's two solutions. Rather, the findings resulted in an almost conform line of quality curve so that the promotion of Frei's solutions can be interpreted as the result of cost reduction.
Research limitations/implications
Owing to the use of simulation tools, it is still critical whether the result holds in the real world where various influences to the service system can exist.
Originality/value
There are various papers regarding service quality and cost but not that much about managerial tools used in a service system. Aside from many statistically proofed papers, this paper uses system dynamics to simulate certain managerial tools for service when implemented into a system.
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Seongsu Kim and Dennis R. Briscoe
Korean firms are in the process of transforming their human resource management (HRM) systems to compete effectively in the global market. Whereas the traditional HRM system…
Abstract
Korean firms are in the process of transforming their human resource management (HRM) systems to compete effectively in the global market. Whereas the traditional HRM system emphasized group harmony and age norms, the “new HR policy” emphasizes a performance‐based system. Whether the new HR policy can achieve its objectives remains to be seen. This radical change from the traditional HRM system to a new one is likely to cause a variety of problems. Discusses, specifically, four potential problems in the case of Samsung.
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The purpose of this paper is to explore the extent to which perceived financial preparedness, social retirement anxieties, and level of income influence mature aged workers'…
Abstract
Purpose
The purpose of this paper is to explore the extent to which perceived financial preparedness, social retirement anxieties, and level of income influence mature aged workers' preferences to enter different retirement employment options within the contingent and the flexible work arrangements (FWA) types of bridge employment.
Design/methodology/approach
Data for this study was collected in 2008 using a questionnaire with 31 items. A total of 144 mature aged workers from multiple firms, aged 50 years and over, working full‐time, in the construction industry participated in the study. The collected data was analysed using correlation and regression analyses.
Findings
The results indicate that the study variables have positive and negative influences on pre‐retirees' preference for the retirement employment options within the contingent and the FWA bridge employment. It was also found that while income failed to moderate, social retirement anxieties did significantly moderate the relationship between perceived financial preparedness and the different employment options within the contingent bridge employment.
Practical implications
This study clearly provides practitioners and career counsellors a new insight that the work and non‐work predictors for the retirement employment options within each of the contingent and the FWA bridge employments vary between factors of perceived financial preparedness, social retirement anxieties and level of income.
Originality/value
In contradiction to the existing literature that “comfortable” social retirement adjustment as a determinant for bridge employment, this study's findings revealed that if pre‐retirees perceive that they are not adequately financially prepared for retirement, they would opt for bridge employment irrespective of levels of social retirement anxieties.
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Chenxia Zhou, Zhikun Jia, Shaobo Song, Shigang Luo, Xiaole Zhang, Xingfang Zhang, Xiaoyuan Pei and Zhiwei Xu
The aging and deterioration of engineering building structures present significant risks to both life and property. Fiber Bragg grating (FBG) sensors, acclaimed for their…
Abstract
Purpose
The aging and deterioration of engineering building structures present significant risks to both life and property. Fiber Bragg grating (FBG) sensors, acclaimed for their outstanding reusability, compact form factor, lightweight construction, heightened sensitivity, immunity to electromagnetic interference and exceptional precision, are increasingly being adopted for structural health monitoring in engineering buildings. This research paper aims to evaluate the current challenges faced by FBG sensors in the engineering building industry. It also anticipates future advancements and trends in their development within this field.
Design/methodology/approach
This study centers on five pivotal sectors within the field of structural engineering: bridges, tunnels, pipelines, highways and housing construction. The research delves into the challenges encountered and synthesizes the prospective advancements in each of these areas.
Findings
The exceptional performance of FBG sensors provides an ideal solution for comprehensive monitoring of potential structural damages, deformations and settlements in engineering buildings. However, FBG sensors are challenged by issues such as limited monitoring accuracy, underdeveloped packaging techniques, intricate and time-intensive embedding processes, low survival rates and an indeterminate lifespan.
Originality/value
This introduces an entirely novel perspective. Addressing the current limitations of FBG sensors, this paper envisions their future evolution. FBG sensors are anticipated to advance into sophisticated multi-layer fiber optic sensing networks, each layer encompassing numerous channels. Data integration technologies will consolidate the acquired information, while big data analytics will identify intricate correlations within the datasets. Concurrently, the combination of finite element modeling and neural networks will enable a comprehensive simulation of the adaptability and longevity of FBG sensors in their operational environments.