The case of partial least squares (PLS) path modeling in managerial accounting research

Nitzl, Christian; Chin, Wynne W.

doi:10.1007/s00187-017-0249-6

Cited by 118 publications

(67 citation statements)

References 87 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In this article, we used a partial least square (PLS-SEM) composite scheme to represent the total variance of the variables [66] for different reasons. In particular, PLS-SEM was an adequate model in the case of inclusion of archival information or secondary data [67].…”

Section: Data and Samplementioning

confidence: 99%

Patient Satisfaction in the Spanish National Health Service: Partial Least Squares Structural Equation Modeling

Martínez

Orellana

2019

IJERPH

View full text Add to dashboard Cite

The aim of this article was to determine which key indicators influence patient satisfaction with the Spanish NHS to provide useful information for policy decision-making. A total of 33 variables for each of the 17 Spanish autonomous communities were collected from the statistical portal of the Spanish Ministry of Health, Social Services, and Equality between 2005 and 2016. A cross-sectional study was applied using Partial Least Squares to a Structural Equation Model (PLS-SEM). The influence of expenditures, resource allocation, and safety were hypothesized about patient satisfaction. Gross Domestic Product (GDP) and life expectancy were used as control variables. Moreover, the influence of resource allocation on use was tested. The model explained 57.1% of patient satisfaction with the Spanish NHS. It was positively influenced mainly by resource allocation and expenditures, followed by safety and life expectancy. Additionally, resources directly influenced the level of use. The number of hospital beds, hemodialysis equipment, rate of adverse drug reactions, and expenditure positively influenced patient satisfaction. In contrast, the number of posts in day hospitals, the hospital infection rate, and the percentage of pharmacy spending negatively influenced patient satisfaction.

show abstract

Section: Data and Samplementioning

confidence: 99%

Patient Satisfaction in the Spanish National Health Service: Partial Least Squares Structural Equation Modeling

Martínez

Orellana

2019

IJERPH

View full text Add to dashboard Cite

show abstract

“…Once we reached this point, and because the characteristics of our variables were continuous and secondary, the use of Partial Least-Squares (PLS) was considered appropriate [76][77][78][79][80].…”

Section: Empirical Frameworkmentioning

confidence: 99%

“…Lastly, SmartPLS was used (version 3.2.8) to predict latent variables based on the estimation of ordinary least-squares and principal component analyses. Thus, a causal-predictive analysis in complex situations was carried out, but only after obtaining theoretical information, such as in our case [75][76][77][78][79][80][81][82][83][84].…”

Section: Empirical Frameworkmentioning

confidence: 99%

Is Sustainable Economic Development Possible Thanks to the Deployment of ICT?

et al. 2019

View full text Add to dashboard Cite

Achieving sustainable economic development is one of humanity’s greatest challenges, and, in this regard, the United Nations has promoted a line of research based on sustainable economic development. In view of this, our study focused on the sustainable economic development of nations, specifically, development through the deployment of information and communication technologies (ICTs). Academic researchers recognize the importance of ICT for economic and sustainable development, but there is controversy in the literature regarding two opposing points of view. First, there is a view that advances in ICT support Gross Domestic Product (GDP) growth, while, on the other hand, the view is that there is no relationship between these two factors. In view of this, we conducted a study where the objective was to determine whether investing in ICT contributes to sustainable economic development (measured by the GDP per capita) of European Union countries. We used Eurostat data and applied the partial least-squares (PLS) method to address the study. This approach allowed us to analyze European Union countries from 2014 to 2017, using fairly rigorous data. The most outstanding result was that ICT accounted for most of the explained variance in GDP per capita (GDPpp), and, specifically, the most representative indicator was “digital public services.” Therefore, we concluded that investing in the deployment of ICT supports the sustainable economic development of European Union countries. These countries should focus on investing in improved connectivity in areas with poor communications, as well as in training area inhabitants in the use and development of ICT to obtain greater development using these tools and technologies.

show abstract

“…We then generate the data of the climate variables of our interest. Moreover, the Ghana malaria incidence data is sufficient for the application of PLS-PM due to its suitability for handling small sample data, non-normality, multi-dimensions and multicollinearity [24,25]. However, the sample set is not sufficient to obtain high precision accuracy when applying machine learning algorithms.…”

Section: Data Collection and Sourcementioning

confidence: 99%

“…The technique called PLS-PM or PLS-SEM was developed by [31] and chosen due to its characteristics in terms of small sample size, non-normality, multi-dimensions, and multicollinearity [23,24]. We have identified three hidden factors using EFA, and subsequently applied SEM for construction of the model (see Figure 3b).…”

Section: Estimation Of Pls-pmmentioning

confidence: 99%

Towards a Predictive Analytics-Based Intelligent Malaria Outbreak Warning System

et al. 2017

View full text Add to dashboard Cite

Malaria, as one of the most serious infectious diseases causing public health problems in the world, affects about two-thirds of the world population, with estimated resultant deaths close to a million annually. The effects of this disease are much more profound in third world countries, which have very limited medical resources. When an intense outbreak occurs, most of these countries cannot cope with the high number of patients due to the lack of medicine, equipment and hospital facilities. The prevention or reduction of the risk factor of this disease is very challenging, especially in third world countries, due to poverty and economic insatiability. Technology can offer alternative solutions by providing early detection mechanisms that help to control the spread of the disease and allow the management of treatment facilities in advance to ensure a more timely health service, which can save thousands of lives. In this study, we have deployed an intelligent malaria outbreak early warning system, which is a mobile application that predicts malaria outbreak based on climatic factors using machine learning algorithms. The system will help hospitals, healthcare providers, and health organizations take precautions in time and utilize their resources in case of emergency. To our best knowledge, the system developed in this paper is the first publicly available application. Since confounding effects of climatic factors have a greater influence on the incidence of malaria, we have also conducted extensive research on exploring a new ecosystem model for the assessment of hidden ecological factors and identified three confounding factors that significantly influence the malaria incidence. Additionally, we deploy a smart healthcare application; this paper also makes a significant contribution by identifying hidden ecological factors of malaria.

show abstract

The case of partial least squares (PLS) path modeling in managerial accounting research

Cited by 118 publications

References 87 publications

Patient Satisfaction in the Spanish National Health Service: Partial Least Squares Structural Equation Modeling

Patient Satisfaction in the Spanish National Health Service: Partial Least Squares Structural Equation Modeling

Is Sustainable Economic Development Possible Thanks to the Deployment of ICT?

Towards a Predictive Analytics-Based Intelligent Malaria Outbreak Warning System

Contact Info

Product

Resources

About