國立高雄大學圖資館 |

Language: English

Back

Partial least squares structural equation modeling and complementary methods in business research

Record Type:	Electronic resources : Monograph/item
Title/Author:	Partial least squares structural equation modeling and complementary methods in business researchby XinYing Chew ... [et al.].
other author:	Chew, XinYing.
Published:	Cham :Springer Nature Switzerland :2025.
Description:	xvii, 183 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	BusinessResearch
Online resource:	https://doi.org/10.1007/978-3-032-01055-1
ISBN:	9783032010551$q(electronic bk.)

Partial least squares structural equation modeling and complementary methods in business research
Partial least squares structural equation modeling and complementary methods in business research[electronic resource] /by XinYing Chew ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xvii, 183 p. :ill. (chiefly col.), digital ;24 cm. - Information systems engineering and management,v. 673004-9598 ;. - Information systems engineering and management ;2..

Partial Least Squares Structural Equation Modeling -- PLSbSEM Path Model Estimation -- Overview of ANN Analysis -- Business Research Applications in SEM ANN Analysis -- Opportunity for ANN Analysis -- Artificial Neural Network and Theories -- Hybrid SEM and ANN Approach -- Fuzzy set Qualitative Comparative Analysis FsQCA -- Outline of ANFIS Analysis -- Multi Criteria Decision Making -- Machine Learning in Business Research -- Application of Multi Criteria Decision Making Methods.

This book offers a practical and accessible guide to Partial Least Squares Structural Equation Modeling (PLS-SEM) in business research, while addressing its limitations by integrating complementary methods such as artificial neural networks (ANN), fuzzy-set qualitative comparative analysis (fsQCA), and multi-criteria decision-making (MCDM). It supports early-career researchers, postgraduate students, and practitioners in navigating complex models, predictive analytics, and latent construct measurement. By focusing on emerging business issues like digital transformation, metaverse, and sustainability, this book delivers clear, applied insights. Readers gain not only foundational knowledge of PLS-SEM but also strategies for enhancing research rigor, prediction, and decision-making using hybrid approaches. This is a timely and essential resource for scholars aiming to advance their methodological toolkit for impactful and actionable business research.

ISBN: 9783032010551$q(electronic bk.)

Standard No.: 10.1007/978-3-032-01055-1doiSubjects--Topical Terms:

230761
Business
--Research

LC Class. No.: HD30.4

Dewey Class. No.: 650.0721

Partial least squares structural equation modeling and complementary methods in business research
LDR:02584nmm a2200337 a 4500 001 685988
003 DE-He213
005 20250828130149.0
006 m d
007 cr nn 008maaau
008 260209s2025 sz s 0 eng d
020 $a 9783032010551$q(electronic bk.)
020 $a 9783032010544$q(paper)
024 7 $a 10.1007/978-3-032-01055-1 $2 doi
035 $a 978-3-032-01055-1
040 $a GP $c GP
041 0 $a eng
050 4 $a HD30.4
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 650.0721 $2 23
090 $a HD30.4 $b .P273 2025
245 0 0 $a Partial least squares structural equation modeling and complementary methods in business research $h [electronic resource] / $c by XinYing Chew ... [et al.].
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xvii, 183 p. : $b ill. (chiefly col.), digital ; $c 24 cm.
490 1 $a Information systems engineering and management, $x 3004-9598 ; $v v. 67
505 0 $a Partial Least Squares Structural Equation Modeling -- PLSbSEM Path Model Estimation -- Overview of ANN Analysis -- Business Research Applications in SEM ANN Analysis -- Opportunity for ANN Analysis -- Artificial Neural Network and Theories -- Hybrid SEM and ANN Approach -- Fuzzy set Qualitative Comparative Analysis FsQCA -- Outline of ANFIS Analysis -- Multi Criteria Decision Making -- Machine Learning in Business Research -- Application of Multi Criteria Decision Making Methods.
520 $a This book offers a practical and accessible guide to Partial Least Squares Structural Equation Modeling (PLS-SEM) in business research, while addressing its limitations by integrating complementary methods such as artificial neural networks (ANN), fuzzy-set qualitative comparative analysis (fsQCA), and multi-criteria decision-making (MCDM). It supports early-career researchers, postgraduate students, and practitioners in navigating complex models, predictive analytics, and latent construct measurement. By focusing on emerging business issues like digital transformation, metaverse, and sustainability, this book delivers clear, applied insights. Readers gain not only foundational knowledge of PLS-SEM but also strategies for enhancing research rigor, prediction, and decision-making using hybrid approaches. This is a timely and essential resource for scholars aiming to advance their methodological toolkit for impactful and actionable business research.
650 0 $a Business $x Research $x Methodology. $3 230761
650 0 $a Least squares. $3 183754
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Business Mathematics. $3 696407
650 2 4 $a Data Engineering. $3 839346
700 1 $a Chew, XinYing. $3 1000115
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Information systems engineering and management ; $v 2. $3 969440
856 4 0 $u https://doi.org/10.1007/978-3-032-01055-1
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)