Homyun Jang, Kyonghoon Kim, Juhyung Kim and Jaejun Kim
This study aims to identify systematically the factors that can often influence labour productivity directly and indirectly, to build a model that can evaluate the significance of…
Abstract
Purpose
This study aims to identify systematically the factors that can often influence labour productivity directly and indirectly, to build a model that can evaluate the significance of these factors. The model can be used as a tool for assisting field construction mangers responsible for productivity.
Design/methodology/approach
The factors were first identified by undertaking a literature review. The scope and method for measuring labour productivity were then determined. The final analysis model was built through a statistical analysis conducted with the chosen factors.
Findings
The results of the analysis indicate that the work management component (e.g. the manager's abilities) and the work technique component (e.g. work continuity) have greater impact than the worker component (e.g. the workers' capability) and the work characteristic component (e.g. work difficulty).
Research limitations/implications
This research focuses on the qualitative perspective of site managers on labour productivity. Although the process of translating qualitative opinions into quantitative data is a matter for debate, the result of this research, when compared to other quantitative studies, can be used to establish a strategy and an action plan for managing labour productivity.
Practical implications
Qualitative aspects that were considered to establish a labour productivity model can be evaluated by site construction managers. Despite the importance of these qualitative aspects, they have, by and large, been neglected, as models to date tend to consider more directly measurable quantitative factors. In particular, they can be used to develop a strategy for increasing labour productivity at the initial planning stage.
Originality/value
This research explores the differences between a subjective perception and the objective reality of labour productivity.
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Jaehyun Park, Junglo Park, Juhyung Kim and Jaejun Kim
The purpose of this study is to identify an objective energy performance assessment method in Korea, and to build a building information modelling (BIM) based system that can…
Abstract
Purpose
The purpose of this study is to identify an objective energy performance assessment method in Korea, and to build a building information modelling (BIM) based system that can assess the energy performance of buildings.
Design/methodology/approach
The energy performance assessment methods currently used in Korea were first identified via a literature review. A system was then implemented to solve the problem of objectivity. The system was implemented through a data‐based building information model, instead of the existing method of documented two‐dimensional (2D) CAD. In addition, Revit Architecture (a BIM tool), MS Access, and Visual Basic (VB) were used to implement the system. To verify the system's efficiency, it was compared to the existing method by applying both to an actual case (a school facility).
Findings
This study found that the issue of subjectivity in the Korean energy performance assessment method may be resolved with a data‐based BIM.
Originality/value
This study presented the BIM‐EPAS to reduce errors and the time needed to conduct an energy performance assessment. In order to follow a realistic approach, the BIM‐EPAS was applied to an actual assessment case, thereby verifying the system's applicability.
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Abstract
Details
Keywords
During the digital media era with an explosion of messages, the prevalence of what is known as “message fatigue” has grown. However, there is a lack of understanding toward…
Abstract
Purpose
During the digital media era with an explosion of messages, the prevalence of what is known as “message fatigue” has grown. However, there is a lack of understanding toward message fatigue in using instant messengers. Based on the stressor-strain-outcome framework, this study provides a theoretical model to explore possible predictors and consequences of instant messaging fatigue.
Design/methodology/approach
The hypothesized model includes communication overload, social overload, instant messaging fatigue, technology and behavioral intention to use instant messaging. Three hundred and eleven responses are collected using an online survey. The authors conduct structural equation modeling to evaluate the hypothesized model and test the hypotheses.
Findings
This study reveals that (1) communication overload and social overload are positively associated with instant messaging fatigue and technostress; (2) higher levels of instant messaging fatigue and technostress are also related to a higher level of intention to discontinue usage; (3) technostress significantly mediates the relationship between instant messaging fatigue and intention to discontinue usage of instant messaging.
Research limitations/implications
This study is limited to collect data from one university in the United States with a cross-sectional design. Future research should include other countries, different age groups and longitudinal methods to examine instant messaging fatigue.
Originality/value
This study extends existing findings on fatigue in using mobile communication by applying the stressor-strain-outcome framework to IM fatigue and improves the understanding of the potential negative aspects of instant messaging.