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This research explores the relationship between information and communications technology (ICT) development and its impact on a country's economy during the COVID‐19 pandemic. This study has two primary objectives: (1) to understand how ICT ...

The level of citizens' involvement in the use of public e-services is one of the key success factors for e-government projects worldwide. Attempts to identify and systematize the factors that critically affect citizens' willingness to use such services ...

This study defines and operationalizes reality pregnancy in the context of recolonization as an emerging composite construct. Using partial least squares, the concept of reality pregnancy is shown to have strong significance, 99.5%, on the total ...

Surrogate-assisted evolutionary algorithms (SAEAs) aim to use efficient computational models with the goal of approximating the fitness function in evolutionary computation systems. This area of research has received significant attention from the ...

• We proposed a two-stage approach for Directed acyclic graph (DAG) skeleton estimation with highly correlated variables.

Directed acyclic graphs (DAGs) are directed graphical models that are well known for discovering causal relationships between variables in a high-dimensional setting. When the DAG is not identifiable due to the lack of interventional ...

Finding an efficient and accurate early warning method is of great significance to enterprises, investors and the development of China's national economy. The Partial Least Squares (PLS) method is used to screen the variables, the BP neural network is ...

As a basic chemical raw material, olefins play a very important role in optimizing product structure and promoting economic development. In recent years, the olefin industry has faced unfavorable external environmental challenges such as low oil prices ...

Conditional mediation (CoMe) analysis integrates mediation and moderation analyses to examine and test hypotheses about how mediated relationships vary as a function of context, boundaries, or individual differences. Although CoMe analysis can be a ...

Researchers are becoming cognizant of the value of conducting predictive analysis using partial least squares structural equation modeling (PLS-SEM) for both the evaluation of overfit and to illustrate the practical value of models. Mediators are a ...

Partial least squares (PLS) offers multiple advantages as a composite-based structural equation modeling (SEM) technique. PLS enables scholars to examine the measurement model and structural model simultaneously and often requires fewer assumptions than ...

Organizations are increasingly adopting Agile frameworks for their internal software development. Cost reduction, rapid deployment, requirements and mental model alignment are typical reasons for an Agile transformation. This article presents an in-...

Collaboration has been considered a way to address the challenges of the 21st century, fostering the necessary innovation, growth and productivity for all parties involved. Several studies reveal that collaboration can be strongly influenced by knowledge ...

We propose a new measure for housing sentiment and show that it accurately tracks expectations of future house price growth rates. We construct the housing sentiment index using partial least squares on household survey responses to questions about buying ...

This study proposed a modified hypothetical model to investigate the influence among six dimensions, namely, system quality, game quality, privacy protection service, user satisfaction, benefits of social interaction, and continuance usage intention. ...

By means of obtaining health-related information published by physicians in online health communities (OHCs), patients are able to diagnose some simple diseases by themselves and then save queueing time, which can help optimize the allocation of medial ...

Partial least squares (PLS) is one of the most popular statistical techniques in use in the Information Systems field. When applied to data originating from a common factor model, as is often the case in the discipline, PLS will produce biased ...

The existing literature mainly analyses user intention to practice social commerce on social networking sites, but few studies have focused on traditional e-commerce sites with their own integrated social tools (e.g. forums, reviews). This research aims ...

Structural Equation Modeling is a powerful statistical approach where measured variables and those which are latent can be combined in a single model. In this half-day tutorial participants learned about the statistical technique, its theoretical ...

Multiple regression has a previously unrecognized "statistical blind spot" because when multicollnearity and measurement error are present, both path estimates and variance inflation factors are biased. This can result in overestimated t-statistics, and ...

In this paper, we focus on low-resolution human detection and propose a partial least squares-canonical correlation analysis (PLS-CCA) for outdoor video surveillance. The analysis relies on heterogeneous features fusion-based human detection method. The ...