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Article
Publication date: 1 October 1995

David A. Collier

Describes research which continues the quest to model performanceusing structural equation models. The objective is to provide meaningfuland substantively interpretable…

2249

Abstract

Describes research which continues the quest to model performance using structural equation models. The objective is to provide meaningful and substantively interpretable predictions of process performance using structural equation modelling. Develops structural equation models which clearly define the performance relationships for a backroom bank card remittance process using criteria such as process quality errors, employee turnover rates, labour productivity, on‐time delivery, and unit cost. Also defines the idea of a process quality equilibrium point (error rate) using structural equation modelling, and investigates how to use these structural equation models to help set internal and external standards of performance.

Details

International Journal of Service Industry Management, vol. 6 no. 4
Type: Research Article
ISSN: 0956-4233

Keywords

Article
Publication date: 16 February 2012

J. Samuel Baixauli, Susana Alvarez and Antonina Módica

The purpose of this paper is to, first, analyse to what extent the default probability based on structural models provides additional information and that accounting ratios do not…

1494

Abstract

Purpose

The purpose of this paper is to, first, analyse to what extent the default probability based on structural models provides additional information and that accounting ratios do not contemplate. Second, to design hybrid models by including the default probability from structural models as explanatory variable, in addition to accounting ratios, in order to evaluate the differences in the accuracy of default predictions using an accounting‐based model and a hybrid model.

Design/methodology/approach

The authors calculated the scores from the accounting models annually during the period from 2003 to 2007 and estimated several structural models.

Findings

The results show that the market information obtained from the structural models includes additional information not reflected in the accounting information. Also, it can be concluded that including default probability from structural models as an explanatory variable allows the out‐sample predictive capacity of accounting‐based models to be improved.

Practical implications

The study highlights the importance of combining a structural model with an accounting model rather than expending energy on determining which of the two provides a greater predictive capacity. In fact, recent literature demonstrates no superiority of one approach over the other because both approaches capture different aspects related to the risk of bankruptcy in companies and they should be combined to improve credit risk management.

Originality/value

This study expands on the existing literature on the probability of business failure in the real estate sector. The authors present a comparative analysis of the accuracy of default predictions using accounting‐based models and hybrid models which will consider the default probability implicit in market information.

Details

International Journal of Managerial Finance, vol. 8 no. 1
Type: Research Article
ISSN: 1743-9132

Keywords

Article
Publication date: 4 July 2023

Jianhang Xu, Peng Li and Yiren Yang

The paper aims to develop an efficient data-driven modeling approach for the hydroelastic analysis of a semi-circular pipe conveying fluid with elastic end supports. Besides the…

Abstract

Purpose

The paper aims to develop an efficient data-driven modeling approach for the hydroelastic analysis of a semi-circular pipe conveying fluid with elastic end supports. Besides the structural displacement-dependent unsteady fluid force, the steady one related to structural initial configuration and the variable structural parameters (i.e. the variable support stiffness) are considered in the modeling.

Design/methodology/approach

The steady fluid force is treated as a pipe preload, and the elastically supported pipe-fluid model is dealt with as a prestressed hydroelastic system with variable parameters. To avoid repeated numerical simulations caused by parameter variation, structural and hydrodynamic reduced-order models (ROMs) instead of conventional computational structural dynamics (CSD) and computational fluid dynamics (CFD) solvers are utilized to produce data for the update of the structural, hydrodynamic and hydroelastic state-space equations. Radial basis function neural network (RBFNN), autoregressive with exogenous input (ARX) model as well as proper orthogonal decomposition (POD) algorithm are applied to modeling these two ROMs, and a hybrid framework is proposed to incorporate them.

Findings

The proposed approach is validated by comparing its predictions with theoretical solutions. When the steady fluid force is absent, the predictions agree well with the “inextensible theory”. The pipe always loses its stability via out-of-plane divergence first, regardless of the support stiffness. However, when steady fluid force is considered, the pipe remains stable throughout as flow speed increases, consistent with the “extensible theory”. These results not only verify the accuracy of the present modeling method but also indicate that the steady fluid force, rather than the extensibility of the pipe, is the leading factor for the differences between the in- and extensible theories.

Originality/value

The steady fluid force and the variable structural parameters are considered in the data-driven modeling of a hydroelastic system. Since there are no special restrictions on structural configuration, steady flow pattern and variable structural parameters, the proposed approach has strong portability and great potential application for other hydroelastic problems.

Article
Publication date: 20 April 2023

Kevin E. Voss

The purpose of this paper is to integrate the findings of articles appearing in European Journal of Marketing’s special section on covariance-based versus composite-based…

Abstract

Purpose

The purpose of this paper is to integrate the findings of articles appearing in European Journal of Marketing’s special section on covariance-based versus composite-based structural equations modeling (SEM).

Design/methodology/approach

This is an editorial which uses literature review to draw conclusions regarding areas of agreement, areas for further research, and changing the discussion around composite-based SEM methods.

Findings

There are now four new areas of agreement regarding composite-based SEM. Researchers should adopt a toolbox approach to their methods and know the strengths and weaknesses of the research tools in their toolbox. Partial least squares (PLS) SEM and covariance-based SEM are not substitutes, and it is inappropriate to use the language of confirmatory factor analysis (CFA) in reporting measurement estimates from PLS SEM. Measurement matters and researchers need to devote effort to using reliable and valid multi-item measures in their investigations.

Originality/value

This postscript article outlines recommendations for authors, reviewers and editors regarding the analysis of data and reporting of results using structural equations models.

Details

European Journal of Marketing, vol. 57 no. 6
Type: Research Article
ISSN: 0309-0566

Keywords

Article
Publication date: 18 May 2023

Tamara Schamberger

Structural equation modeling (SEM) is a well-established and frequently applied method in various disciplines. New methods in the context of SEM are being introduced in an ongoing…

Abstract

Purpose

Structural equation modeling (SEM) is a well-established and frequently applied method in various disciplines. New methods in the context of SEM are being introduced in an ongoing manner. Since formal proof of statistical properties is difficult or impossible, new methods are frequently justified using Monte Carlo simulations. For SEM with covariance-based estimators, several tools are available to perform Monte Carlo simulations. Moreover, several guidelines on how to conduct a Monte Carlo simulation for SEM with these tools have been introduced. In contrast, software to estimate structural equation models with variance-based estimators such as partial least squares path modeling (PLS-PM) is limited.

Design/methodology/approach

As a remedy, the R package cSEM which allows researchers to estimate structural equation models and to perform Monte Carlo simulations for SEM with variance-based estimators has been introduced. This manuscript provides guidelines on how to conduct a Monte Carlo simulation for SEM with variance-based estimators using the R packages cSEM and cSEM.DGP.

Findings

The author introduces and recommends a six-step procedure to be followed in conducting each Monte Carlo simulation.

Originality/value

For each of the steps, common design patterns are given. Moreover, these guidelines are illustrated by an example Monte Carlo simulation with ready-to-use R code showing that PLS-PM needs the constructs to be embedded in a nomological net to yield valuable results.

Details

Industrial Management & Data Systems, vol. 123 no. 6
Type: Research Article
ISSN: 0263-5577

Keywords

Open Access
Article
Publication date: 27 April 2020

Murat Gunduz and Hesham Ahmed Elsherbeny

This paper covers the development of a multidimensional contract administration performance model (CAPM) for construction projects. The proposed CAPM is intended to be used by the…

14004

Abstract

Purpose

This paper covers the development of a multidimensional contract administration performance model (CAPM) for construction projects. The proposed CAPM is intended to be used by the industry stakeholders to measure the construction contract administration (CCA) performance and identify the strengths and weaknesses of the CCA system for running or completed projects.

Design/methodology/approach

The research design follows a sequential mixed methodology of qualitative and quantitative data collection and analysis. In the first phase, contract administration indicators were collected from relevant literature. In the second phase, an online questionnaire was prepared, and data were collected and analyzed using the crisp value of fuzzy membership function, and structural equation modeling (SEM). The fuzzy set was chosen for this study due to the presence of uncertainty and fuzziness associated with the importance of several key indicators affecting the CCA performance. Finally, SEM was used to test and analyze interrelationships among constructs of CCA performance.

Findings

The data collected from 336 construction professionals worldwide through an online survey was utilized to develop the fuzzy structural equation model. The goodness-of-fit and reliability tests validated the model. The study concluded a significant correlation between CCA performance, CCA operational indicators, and the process groups.

Originality/value

The contribution of this paper to the existing knowledge is the development of a fuzzy structural equation model that serves as a measurement tool for the contract administration performance. This is the first quantitative structural equation model to capture contract administration performance. The model consists of 93 Construction Contract Administration(CCA) performance indicators categorized into 11 project management process groups namely: project governance and start-up; team management; communication and relationship management; quality and acceptance management; performance monitoring and reporting management; document and record management; financial management; changes and control management; claims and dispute resolution management; contract risk management and contract closeout management.

Details

Engineering, Construction and Architectural Management, vol. 27 no. 6
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 11 July 2022

Murat Gunduz, Abdulla M. Abumoza and Aly Abdelfattah Aly

The aim of this paper is to study the effect of strategic and project related potential risks on project delivery in Qatar. Two objectives have been defined. The first is to…

263

Abstract

Purpose

The aim of this paper is to study the effect of strategic and project related potential risks on project delivery in Qatar. Two objectives have been defined. The first is to identify potential risk indicators (manifest variables) and categorize them (constructs/latent variables) based on a literature review, while the second is to examine and rank the relationships between the indicators and constructs by developing a structural equation model.

Design/methodology/approach

Twenty-five indicators were identified from the literature review and categorized into five groups. To collect the data, an online questionnaire was distributed in Qatar, and 116 responses were obtained. Structural equation modeling (SEM) was used to examine the model. The model that was developed based on the research hypothesis met goodness-of-fit, reliability and validity requirements.

Findings

The results showed that all constructs contributed well to the model and that the project parties (PPs) have the highest contribution with an effect weight of 0.209 followed by economic and legal (EL) conditions with an effect weight of 0.205. Site and safety (SS) conditions were third with an effect weight of 0.200 while environmental, natural and technological (ENT) conditions were fourth with an effect weight of 0.1989. The last ranked construct is political and social (PS) conditions with an effect weight of 0.186. Based on the outcome of the SEM, recommendations were provided to industry professionals in Qatar about mitigating the impact of potential risks on construction project.

Originality/value

To the authors' best knowledge, this is the first study to quantify the effects of strategic and project related risks on a construction project using SEM, considering the risk management indicators of SS, EL, ENT, PS in Qatar. The study's practical implications are to enlarge the project's risk management plan by considering the strategic and project related risks to enhance the project performance for the cost overrun and delay. The study is intended for construction projects in Qatar, but it can easily be adapted to other parts of the world given the local circumstances.

Details

Engineering, Construction and Architectural Management, vol. 30 no. 10
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 29 April 2014

Nebojsa S. Davcik

The research practice in management research is dominantly based on structural equation modeling (SEM), but almost exclusively, and often misguidedly, on covariance-based SEM. The…

2459

Abstract

Purpose

The research practice in management research is dominantly based on structural equation modeling (SEM), but almost exclusively, and often misguidedly, on covariance-based SEM. The purpose of this paper is to question the current research myopia in management research, because the paper adumbrates theoretical foundations and guidance for the two SEM streams: covariance-based and variance-based SEM; and improves the conceptual knowledge by comparing the most important procedures and elements in the SEM study, using different theoretical criteria.

Design/methodology/approach

The study thoroughly analyzes, reviews and presents two streams using common methodological background. The conceptual framework discusses the two streams by analysis of theory, measurement model specification, sample and goodness-of-fit.

Findings

The paper identifies and discusses the use and misuse of covariance-based and variance-based SEM utilizing common topics such as: first, theory (theory background, relation to theory and research orientation); second, measurement model specification (type of latent construct, type of study, reliability measures, etc.); third, sample (sample size and data distribution assumption); and fourth, goodness-of-fit (measurement of the model fit and residual co/variance).

Originality/value

The paper questions the usefulness of Cronbach's α research paradigm and discusses alternatives that are well established in social science, but not well known in the management research community. The author presents short research illustration in which analyzes the four recently published papers using common methodological background. The paper concludes with discussion of some open questions in management research practice that remain under-investigated and unutilized.

Details

Journal of Advances in Management Research, vol. 11 no. 1
Type: Research Article
ISSN: 0972-7981

Keywords

Article
Publication date: 2 November 2015

Ibrahim Motawa and Michael G. Oladokun

The purpose of this paper is to analyse the complex interrelationships among thedifferent variables purporting to explain household energy consumption and carbon emissions. Energy…

1944

Abstract

Purpose

The purpose of this paper is to analyse the complex interrelationships among thedifferent variables purporting to explain household energy consumption and carbon emissions. Energy consumption and carbon emissions in dwellings have been argued to be a complex socio-technical problem that involves interaction of many variables that are interdependent on one another.

Design/methodology/approach

The paper investigates the explanatory power of these variables through the use of structural equation modelling which has the advantage of handling complex real-life problems that cannot be modelled by other multivariate analysis methods. This study uses the publicly available datasets of the Scottish House Condition Survey and the Scottish Environmental Attitudes and Behaviours datasets.

Findings

This paper found that floor area, energy efficiency in terms of standard assessment procedure value, number of occupants in the dwelling, household income, dwelling age, consumption behaviour and age of householders are among the variables explaining dwellings energy consumption and carbon emissions. The explanatory power of each of these variables was therefore explored.

Originality/value

The paper concludes that understanding the complex–causal relationships among the explanatory variables would help decision-makers draw more realistic policies for household energy consumption which is critical to the agenda pertaining to carbon emission.

Details

International Journal of Energy Sector Management, vol. 9 no. 4
Type: Research Article
ISSN: 1750-6220

Keywords

Article
Publication date: 1 February 2004

Pietro Giorgio Lovaglio

In this paper we propose a methodology for the estimation of customer satisfaction conceived as a latent variable specified in the American Customer Satisfaction Index (ACSI…

2375

Abstract

In this paper we propose a methodology for the estimation of customer satisfaction conceived as a latent variable specified in the American Customer Satisfaction Index (ACSI) structural model. The current proposal puts forward: the approaches of structural equations, since it involves the dual problem of indeterminacy of the latent scores and the normality assumed; the PLS approach, because of its drawbacks (shown in depth in the paper). The ACSI model will be estimated in a reduced rank regression (RRR) framework, showing that under a non restrictive hypothesis, shared by PLS, the structural model can be viewed as a RRR model between two blocks of manifest variables. Finally, in the paper an application is shown to assess the students’ satisfaction in respect to the service of a big real estate agency, operating in the houses‐to‐let market, in Bologna (Italy) for 2002.

Details

The TQM Magazine, vol. 16 no. 1
Type: Research Article
ISSN: 0954-478X

Keywords

1 – 10 of over 51000