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Article
Publication date: 25 July 2018

Xiaoli Yan and Young-Chan Kim

The purpose of this paper is to timely control of a construction collapse accident effectively during its development process by constructing a stage model and then…

Abstract

Purpose

The purpose of this paper is to timely control of a construction collapse accident effectively during its development process by constructing a stage model and then aligning IT with each stage to help provide the information for decision making.

Design/methodology/approach

Through comprehensive literature review, this paper first identifies the various IT applications in on-site construction monitoring and analyzes the existed disaster/crisis stage models, also the stage models are compared with the causation models to illustrate the strengths. Then, a three-step methodology was conducted to develop and apply the conceptual framework, including the construction of the four-stage model; the establishment of the conceptual framework of information technology (IT) support for management of construction accidents (ITSMCA); and a building collapse accident used to illustrate the proposed framework.

Findings

The accident is divided into four stages, which are incubation stage, outbreak stage, spreading stage and final stage. The real-time staged information to support decision making, such as the contributing factors of on-site workers, materials, equipment and workplace, can be provided by emerging IT. Therefore, IT is aligned with the variations of contributing factors’ attributes in the four stages and ITSMCA is constructed to help accidents management.

Research limitations/implications

The focus of the framework presented in this paper is that the stage model is effective for it catches the variations of the attributes whose values can be provided by IT rather than research on the practical application of the IT system. The construction and application of the IT system will be the research focus in the future.

Originality/value

This paper presents a stage model of a building collapse accident and gives a comprehensive conceptual framework of ITSMCA, which align the IT with different stages of the collapse accident. The ITSMCA proposes a feasible ideology and practical method for real-time management of the collapse accident during the process.

Details

Engineering, Construction and Architectural Management, vol. 25 no. 6
Type: Research Article
ISSN: 0969-9988

Keywords

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Article
Publication date: 7 August 2017

Eun-Suk Yang, Jong Dae Kim, Chan-Young Park, Hye-Jeong Song and Yu-Seop Kim

In this paper, the problem of a nonlinear model – specifically the hidden unit conditional random fields (HUCRFs) model, which has binary stochastic hidden units between…

Abstract

Purpose

In this paper, the problem of a nonlinear model – specifically the hidden unit conditional random fields (HUCRFs) model, which has binary stochastic hidden units between the data and the labels – exhibiting unstable performance depending on the hyperparameter under consideration.

Design/methodology/approach

There are three main optimization search methods for hyperparameter tuning: manual search, grid search and random search. This study shows that HUCRFs’ unstable performance depends on the hyperparameter values used and its performance is based on tuning that draws on grid and random searches. All experiments conducted used the n-gram features – specifically, unigram, bigram, and trigram.

Findings

Naturally, selecting a list of hyperparameter values based on a researchers’ experience to find a set in which the best performance is exhibited is better than finding it from a probability distribution. Realistically, however, it is impossible to calculate using the parameters in all combinations. The present research indicates that the random search method has a better performance compared with the grid search method while requiring shorter computation time and a reduced cost.

Originality/value

In this paper, the issues affecting the performance of HUCRF, a nonlinear model with performance that varies depending on the hyperparameters, but performs better than CRF, has been examined.

Details

Engineering Computations, vol. 34 no. 6
Type: Research Article
ISSN: 0264-4401

Keywords

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Article
Publication date: 5 April 2013

Valerij Dermol and Tomaž Čater

The study aims to contribute to the training‐related literature by investigating the relationship between training and training transfer factors and company‐level training…

Abstract

Purpose

The study aims to contribute to the training‐related literature by investigating the relationship between training and training transfer factors and company‐level training outcomes, and the relationship between the latter and company performance.

Design/methodology/approach

The authors propose and test a model linking constructs related to training (the volume and quality of training, supervisor support, peer support, and organisational incentives), constructs related to company‐level training outcomes (the acquisition and interpretation of information, and cognitive and behavioural changes) and company performance. In the empirical analysis the authors use structural equation modelling based on a sample of 247 service companies.

Findings

The study confirms a strong relationship between supervisor support and the volume and quality of training as well as between supervisor support and organisational incentives for training transfer. Organisational incentives are directly related to both studied company‐level training outcomes, i.e. the acquisition and interpretation of information, and cognitive and behavioural changes. In addition, they are also indirectly related to company performance through encouraging cognitive and behavioural changes. The volume and quality of training are related only to the acquisition and interpretation of information, while no direct relationship with company performance was found.

Research limitations/implications

The study sends an important message to CEOs and HR managers showing them that companies should focus not only on the volume and quality of training but also on important training‐transfer‐related factors.

Originality/value

The study complements previous studies dealing with the relationship between training and performance by clearly distinguishing between training and training transfer factors, and by studying their combined relationship with company‐level training outcomes and, through that, with company performance. The links in the model are addressed in a way that has not yet been used in existing literature.

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