Marko Sarstedt - Advanced Issues in Partial Least Squares Structural Equation Modeling

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Printed in the United States of America

Library of Congress Cataloging-in-Publication Data

Names: Hair, Joseph F., author.

Title: Advanced issues in partial least squares structural equation modeling / Joseph F. Hair, Jr., University of South Alabama, [and three others].

Description: Los Angeles : SAGE, [2018] | Includes bibliographical references and index.

Identifiers: LCCN 2016050545 | ISBN 9781483377391 (pbk. : alk. paper)

Subjects: LCSH: Least squares. | Structural equation modeling.

Classification: LCC QA275 .H235 2018 | DDC 511/.42dc23 LC record available at https://lccn.loc.gov/2016050545

This book is printed on acid-free paper.

Researchers in the fields of management, marketing, management information systems, and other social science disciplines have been increasingly focused on seeking to better understand the complex interrelationships that constitute the black box of a variety of organizational or behavioral aspects. Partial least squares structural equation modeling (PLS-SEM) has enabled researchers to simultaneously estimate such complex interrelationships involving a variety of constructs and indicators with their direct, indirect, or moderating relationships that would otherwise not be easy to disentangle and examine. However, recent research focuses on more fully understanding and also explaining the roles of intervening and contingent variables and relationships among variables that are of interest to researchers. For example, greater interest has been placed on unraveling the contingencies that are reflected in differences that characterize subgroups of individuals, organizations, or environments.