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Article
Publication date: 1 April 2019

Amine Lahiani

The purpose of this paper is to explore the effect of oil price shocks on the US Consumer Price Index over the monthly period from 1876:01 to 2014:04.

Abstract

Purpose

The purpose of this paper is to explore the effect of oil price shocks on the US Consumer Price Index over the monthly period from 1876:01 to 2014:04.

Design/methodology/approach

The author uses the Bai and Perron (2003) structural break test to split the data sample into sub-periods delimited by the computed break dates. Afterwards, the author uses the quantile treatment effects over the full sample and then, by including sub-periods dummies to accommodate the selected structural breaks that drive the relationship between inflation and oil price growth.

Findings

The findings include a decreased transmission effect of oil price changes on inflation in recent years; a varied elasticity of inflation to the growth rate of oil prices across the distribution; and, finally, evidence of asymmetry in the relationship between the growth rate of oil prices and inflation, with a higher transmission mechanism for decreasing rather than increasing oil prices.

Practical implications

Policymakers should remain alert to monitoring potential inflation increases and should take precautionary measures to anchor inflation expectations, because inflation reacts differently to positive and negative oil price shocks. Moreover, authorities should consider the asymmetric reaction of inflation to oil price shocks to adopt an appropriate monetary policy strategy to achieve the price stability target.

Originality/value

The paper used a quantile regression model with structural breaks, which has not yet been used in the literature.

Details

International Journal of Energy Sector Management, vol. 13 no. 1
Type: Research Article
ISSN: 1750-6220

Keywords

Article
Publication date: 21 August 2017

Joseph M. Petrosko and Meera Alagaraja

The purpose of the paper is to suggest effective choices for key decisions when pursuing a programmatic research strategy in management, spirituality and religion (MSR). An…

Abstract

Purpose

The purpose of the paper is to suggest effective choices for key decisions when pursuing a programmatic research strategy in management, spirituality and religion (MSR). An example is provided of how the suggestions can be used.

Design/methodology/approach

Suggestions for research were gleaned from current sources in research methodology. The example provided was a study of 398 employees who were surveyed on spirituality, job satisfaction and intent to leave their job. Structural equation modeling (SEM) was used to test three research hypotheses.

Findings

Using item analysis, exploratory factor analysis and SEM can be a way to pursue research using variables related to spirituality and religion.

Originality/value

A programmatic research strategy employing SEM can effectively model how spirituality/religious variables directly and indirectly affect outcomes significant to the organization.

Article
Publication date: 15 August 2016

Sampath Kehelwalatenna

This paper aims to examine empirically the behaviour of the impact of intellectual capital (IC) on firm performance during financial crises, having observed that there was no…

1213

Abstract

Purpose

This paper aims to examine empirically the behaviour of the impact of intellectual capital (IC) on firm performance during financial crises, having observed that there was no prior research carried out to examine whether the theoretically expected sustainable firm performance created by IC holds during a financially unstable situation in the economy.

Design/methodology/approach

The Pulic’s value-added intellectual coefficient method is used to measure IC. Firm performance is measured through productivity, profitability and revenue growth. Structural stability tests and dynamic regression models for panel data are used for the data of 191 banking firms listed on the New York Stock Exchange during 2000-2011.

Findings

The paper reveals, contrary to theoretical expectations, that the impact of IC on firm performance is inconsistent during financial crises. This behaviour emerges mainly because of the incapability of human capital, the main component of IC, to create value for the sample firms during financial crises.

Research limitations/implications

The findings of the study are confined to financial crises that existed in the US economy during the period 2000-2011. The findings provide evidence that heterogeneity in the resource base of a firm plays a very minor role in the value creation process during turbulent economic situations. The findings also question the practicality of investing in intangible assets, including IC, during periods of financial crises.

Originality/value

This paper could be the first attempt to evident empirically that the heterogeneity in the resource base of the firm has a very minor role to play in the value creation process when instability exists in the macroeconomic environment.

Details

Measuring Business Excellence, vol. 20 no. 3
Type: Research Article
ISSN: 1368-3047

Keywords

Article
Publication date: 24 October 2022

Douglas Aghimien, Clinton Ohis Aigbavboa, Daniel W.M. Chan and Emmanuel Imuetinyan Aghimien

This paper presents the findings from the assessment of the determinants of cloud computing (CC) deployment by construction organisations. Using the…

Abstract

Purpose

This paper presents the findings from the assessment of the determinants of cloud computing (CC) deployment by construction organisations. Using the technology-organisation-environment (TOE) framework, the study strives to improve construction organisations' project delivery and digital transformation by adopting beneficial technologies like CC.

Design/methodology/approach

This study adopted a post-positivism philosophical stance using a deductive approach with a questionnaire administered to construction organisations in South Africa. The data gathered were analysed using descriptive and inferential statistics. Also, the fusion of structural equation modelling (SEM) and machine learning (ML) regression models helped to gain a robust understanding of the key determinants of using CC.

Findings

The study found that the use of CC by construction organisations in South Africa is still slow. SEM indicated that this slow usage is influenced by six technology and environmental factors, namely (1) cost-effectiveness, (2) availability, (3) compatibility, (4) client demand, (5) competitors' pressure and (6) trust in cloud service providers. ML models developed affirmed that these variables have high predictive power. However, sensitivity analysis revealed that the availability of CC and CC's ancillary technologies and the pressure from competitors are the most important predictors of CC usage in construction organisations.

Originality/value

The paper offers a theoretical backdrop for future works on CC in construction, particularly in developing countries where such a study has not been explored.

Details

Engineering, Construction and Architectural Management, vol. 31 no. 3
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 19 April 2022

Marta Luz Arango-Uribe, Carlos Javier Barrera-Causil, Vladimir Pallares, Jessica Maria Rojas, Luís Roberto Mercado Díaz, Rebecca Marrone and Fernando Marmolejo-Ramos

The concept of sustainable development (SD) is a popular response to society’s need to preserve and extend the life span of natural resources. One of the 17 goals of the SD is…

Abstract

Purpose

The concept of sustainable development (SD) is a popular response to society’s need to preserve and extend the life span of natural resources. One of the 17 goals of the SD is “education quality” (Fourth Goal of Sustainable Development [SDG-4]). Education quality is an important goal because education is a powerful force that can influence social policies and social change. The SDG-4 must be measured in different contexts, and the tools to quantify its effects require exploration. So, this study aims to propose a statistical model to measure the impact of higher education online courses on SD and a structural equation model (SEM) to find constructs or factors that help us explain a sustainability benefits rate. These proposed models integrate the three areas of sustainability: social, economic and environmental.

Design/methodology/approach

A beta regression model suggests features that include the academic and economic opportunities offered by the institution, the involvement in research activities and the quality of the online courses. A structural equation modelling (SEM) analysis allowed selecting the key variables and constructs that are strongly linked to the SD.

Findings

One of the key findings showed that the benefit provided by online courses in terms of SD is 62.99% higher than that of offline courses in aspects such as transportation, photocopies, printouts, books, food, clothing, enrolment fees and connectivity.

Research limitations/implications

The SEM model needs large sample sizes to have consistent estimations. Thus, despite the obtained estimations in the proposed SEM model being reliable, the authors consider that a limitation of this study was the required time to collect data corresponding to the estimated sample size.

Originality/value

This study proposes two novel and different ways to estimate the sustainability benefits rate focused on SDG-4, and machine learning tools are implemented to validate and gain robustness in the estimations of the beta model. Additionally, the SEM model allows us to identify new constructs associated with SDG-4.

Details

International Journal of Sustainability in Higher Education, vol. 24 no. 2
Type: Research Article
ISSN: 1467-6370

Keywords

Article
Publication date: 27 March 2023

Ke-Hai Yuan

The purpose of this paper is to discuss the pros and cons of partial least squares approach to structural equation modeling (PLS-SEM). The topics include bias, consistency…

Abstract

Purpose

The purpose of this paper is to discuss the pros and cons of partial least squares approach to structural equation modeling (PLS-SEM). The topics include bias, consistency, maximization of R2, reliability and model validation.

Design/methodology/approach

The approach in this study is descriptive, and the method consists of logical arguments and analysis that are supported by results in references.

Findings

Several optimal properties of the PLS-SEM methodology are clarified. A proposal for transforming PLS-SEM mode A to mode B is highlighted, and the transformed mode possesses the desired properties of both modes A and B. Issues with the application of regression analysis using composite scores are also discussed. The strength of PLS-SEM is also compared against that of covariance-based SEM.

Research limitations/implications

Additional studies on PLS-SEM are needed when the population structure contains cross-loadings and/or correlated errors.

Practical implications

PLS-SEM may have inflated type I errors and R2 values even with normally distributed data.

Originality/value

The content of this paper is new, and there does not exist such an in-depth discussion of the pros and cons of PLS-SEM methodology in the literature.

Details

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

Keywords

Book part
Publication date: 23 June 2016

Peter C. B. Phillips

This paper considers stationary regression models with near-collinear regressors. Limit theory is developed for regression estimates and test statistics in cases where the signal…

Abstract

This paper considers stationary regression models with near-collinear regressors. Limit theory is developed for regression estimates and test statistics in cases where the signal matrix is nearly singular in finite samples and is asymptotically degenerate. Examples include models that involve evaporating trends in the regressors that arise in conditions such as growth convergence. Structural equation models are also considered and limit theory is derived for the corresponding instrumental variable (IV) estimator, Wald test statistic, and overidentification test when the regressors are endogenous. It is shown that near-singular designs of the type considered here are not completely fatal to least squares inference, but do inevitably involve size distortion except in special Gaussian cases. In the endogenous case, IV estimation is inconsistent and both the block Wald test and Sargan overidentification test are conservative, biasing these tests in favor of the null.

Details

Essays in Honor of Aman Ullah
Type: Book
ISBN: 978-1-78560-786-8

Keywords

Article
Publication date: 25 January 2022

Pontip Stephen Nimlyat, Bala Salihu and Grace Pam Wang

The most challenging aspect of hospital design is the creation of an environment that heals rather than the one acting as a barrier to healing. Much has not been done in the…

1201

Abstract

Purpose

The most challenging aspect of hospital design is the creation of an environment that heals rather than the one acting as a barrier to healing. Much has not been done in the aspect of ascertaining the level of impact “indoor environmental quality (IEQ)” has on building occupants in healthcare facilities. Therefore, this study aims to investigate the impact of IEQ on patients' health and well-being.

Design/methodology/approach

The study investigates the hypothesis that four IEQ parameters (thermal quality, acoustic quality, lighting quality and indoor air quality [IAQ]) influence patients' overall satisfaction with the performance of hospital wards. Questionnaire responses were sought from the patients as the main occupants of hospital ward buildings. A proposed weighted structural model for IEQ establishing the relationship between IEQ parameters, patients' overall satisfaction and patients' health outcome was analyzed using structural equation modeling (SEM).

Findings

The most influential IEQ parameters on patients' overall satisfaction with IEQ in hospital wards are thermal quality, IAQ and lighting quality. The findings from this study revealed that the parameters of influence on patients' overall satisfaction and health outcomes vary with hospital ward orientation and design configuration.

Originality/value

This study has explored the need for the integration of all factors of IEQ at the building design stage towards providing a hospital environmental setting that reflects occupants' requirements and expectations and also promotes patient healing processes. This should be the focus of architects and healthcare managers and providers.

Details

International Journal of Building Pathology and Adaptation, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2398-4708

Keywords

Article
Publication date: 13 April 2020

Mariam Nasser Al-Nuaimi, Abdelmajid Bouazza and Maher M. Abu-Hilal

This paper examines associations among the socio-psychological determinants of information and communication technologies (ICT)-assisted deviance-related practices within a group…

Abstract

Purpose

This paper examines associations among the socio-psychological determinants of information and communication technologies (ICT)-assisted deviance-related practices within a group of Omani undergraduates. Moreover, this study aims to evaluate the explanatory burdens of such socio-psychological factors on actual behaviour.

Design/methodology/approach

The study implements a predictive research design applied to a cross-sectional sample. At the outset, a theoretical model was built based on the theory of planned behaviour (TPB). Thereafter, structural equation modelling was implemented to test the TPB model on the response data collected from a cluster sample of undergraduates from six universities in the Sultanate of Oman.

Findings

The results of the path diagram overwhelmingly support the TPB hypotheses. Specifically, intention is the most influential and immediate predictor of behaviour, while at the same time partially, though markedly, mediating the influence of cognition on behaviour.

Practical implications

This study has implications for the design of inclusive measures of the intrinsic dimensions of ethical self-efficacy as designated by the social cognitive theory of moral thought and conduct, which include moral judgment, self-monitoring of conduct and affective reactions to conduct. As the study reveals the importance of the explanatory power of cognition to explain variance in intention and behaviour, it has implications on the development of ICT-ethics-education.

Originality/value

This study fills a gap in the empirical literature on how intention mediates the relationship between ICT-ethics-connected cognition and behaviour. Moreover, the study addresses the direct relationship between cognition and behaviour – a relationship that is considered equivocal in both theories of planned behaviour and reasoned action.

Details

Global Knowledge, Memory and Communication, vol. 70 no. 3
Type: Research Article
ISSN: 2514-9342

Keywords

Article
Publication date: 26 April 2022

Arcade Ndoricimpa

This study reexamines fiscal deficit sustainability in South Africa.

Abstract

Purpose

This study reexamines fiscal deficit sustainability in South Africa.

Design/methodology/approach

The study applies three cointegration testing approaches, namely testing for multiple structural changes in a cointegrated regression model, time-varying cointegration test and asymmetric cointegration test.

Findings

The results point to the existence of a level relationship between government revenue and spending. In addition, the long-run equilibrium relationship between government revenue and spending in South Africa is found to be characterized by breaks. As such, assuming a constant cointegrating slope may be misleading. Results from time-varying cointegration and an estimation of a cointegrated two-break model indicate that cointegrating coefficient has been time-varying but has remained less than 1 for the entire study period, indicating that fiscal deficits have been weakly sustainable. This finding is also confirmed by the results from an estimated asymmetric error correction model.

Practical implications

In view of the findings, authorities should put in place policies to improve the fiscal budgetary stance and reinforce the sustainability of the fiscal deficits in South Africa. Among other things, South Africa could undertake reforms to state-owned companies to reduce their reliance on public funds, slow down the pace of the public sector wage growth and devise effective economic measures to boost long-term growth. In addition, tax compliance and other revenue collection measures should be enhanced for additional tax revenue.

Originality/value

The contribution of this study is twofold; first, the study uses a long series of annual data spanning over a century, from 1913 to 2020. Indeed, cointegration is better modeled using long spans of time series data. Second, to examine the existence of a level relationship between spending and revenue, the study uses cointegration tests which allow capturing time-variation in the cointegrating slope coefficient, and accounting for asymmetries in the relationship between government spending and revenue. It is important to allow for time-variation in the cointegrating slope coefficient, especially when it has been hardly treated in the empirical literature on fiscal deficit sustainability. Allowing for time-variation in the cointegrating slope coefficient helps us to analyze fiscal deficit sustainability by periods of time. Indeed, the degree of fiscal sustainability can change from one time period to another.

Details

Journal of Economic and Administrative Sciences, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1026-4116

Keywords

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