Recent Advances And Applications In Partial Least Squares Structural Equation Modeling Maria Del Carmen Valls Martinez by Maria Del Carmen Valls Martinez, Jose-mar´ia Montero, Pedro Antonio Martin Cervantes 9783036595931, 3036595937 instant download after payment.

Partial Least Squares Structural Equation Modeling (PLS-SEM) is an innovative approach to
statistical data analysis that has gained rapid popularity in academic circles, despite its recent origin.
This method has captured the attention of scholars across various disciplines and continues to
dynamically evolve.
In the contemporary landscape, decision makers in businesses, public sectors, academics and
researchers have access to copious amounts of data for analysis and discovery. Therefore, this
necessitates a robust theoretical framework and the application of disciplines such as mathematics
and statistics, as well as practical experience and intuition. PLS-SEM stands out as a multivariate
analysis technique that combines regression and linear analysis methodologies, offering advantages
(such as not mandating normality) and yielding dependable results even with small sample sizes.
This technique is extensively used in social sciences, particularly for handling unobservable or latent
variables. PLS-SEM facilitates the simultaneous examination of relationships between observable and
latent variables (assessing the measurement model) as well as relationships among latent variables
(evaluating the structural model). Moreover, it is widely embraced in management due to its
capacity to scrutinize intricate models with numerous indicators for each latent variable and multiple
relationships among them.
This book encompasses 23 research articles and 1 review selected for publication from a total of
56 manuscripts submitted to the MDPI Special Issue.These topics include the prediction of stock market investment intentions, the nexus between institutional quality and international competitiveness, governance paradigms, information and communication technologies in the supply chain, impacts of environmental information absorption and proactivity on company outcomes, quality management, corporate social responsibility’s effects on financial performance, healthcare system enhancement etc.
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