Taking a multidisciplinary approach, this comprehensive Handbook comprises contributions from international researchers of diverse educational and research backgrounds. Chapters present methodological issues within marketing research, sharing the researchers' experiences of what does and does not work, as well as discussing challenges and avenues for innovation. Divided into four parts covering quantitative and qualitative research approaches, mixed-methods approaches, and critical issues regarding how research is conducted, the Handbook offers guidance for all marketing researchers. This guidance includes insights on scale development, necessary condition analysis, experimental design, visual research methods, phenomenology and mobile ethnography. Chapters also consider recent advances in marketing research methods, legal aspects of marketing research, research ethics and how a forensic science framework can be used in marketing research. Generating wider methodological debates, this Handbook will be a valuable resource for researchers and students of marketing, as well as scholars interested in research methods in the business and management field. Its practical recommendations will also be beneficial for marketing practitioners interested in research.

Taking a multidisciplinary approach, this comprehensive Handbook comprises contributions from international researchers of diverse educational and research backgrounds. Chapters present methodological issues within marketing research, sharing the researchers' experiences of what does and does not work, as well as discussing challenges and avenues for innovation. Divided into four parts covering quantitative and qualitative research approaches, mixed-methods approaches, and critical issues regarding how research is conducted, the Handbook offers guidance for all marketing researchers. This guidance includes insights on scale development, necessary condition analysis, experimental design, visual research methods, phenomenology and mobile ethnography. Chapters also consider recent advances in marketing research methods, legal aspects of marketing research, research ethics and how a forensic science framework can be used in marketing research. Generating wider methodological debates, this Handbook will be a valuable resource for researchers and students of marketing, as well as scholars interested in research methods in the business and management field. Its practical recommendations will also be beneficial for marketing practitioners interested in research.

The Second Edition of Advanced Issues in Partial Least Squares Structural Equation Modeling offers a straightforward and practical guide to PLS-SEM for users ready to go further than the basics of the Primer by the same author team. This brief text features the newly-released SmartPLS 4 software. 

The third edition of A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) guides readers through learning and mastering the techniques of this approach in clear language. Authors Joseph H. Hair, Jr., G. Tomas M. Hult, Christian Ringle, and Marko Sarstedt use their years of conducting and teaching research to communicate the fundamentals of PLS-SEM in straightforward language to explain the details of this method, with limited emphasis on equations and symbols. A running case study on corporate reputation follows the different steps in this technique so readers can better understand the research applications. Learning objectives, review and critical thinking questions, and key terms help readers cement their knowledge. This edition has been thoroughly updated, featuring the latest version of the popular software package SmartPLS 3. New topics have been added throughout the text, including a thoroughly revised and extended chapter on mediation, recent research on the foundations of PLS-SEM, detailed descriptions of research summarizing the advantages as well as limitations of PLS-SEM, and extended coverage of advanced concepts and methods, such as out-of-sample versus in-sample prediction metrics, higher-order constructs, multigroup analysis, necessary condition analysis, and endogeneity.

This book pulls together robust practices in Partial Least Squares Structural Equation Modeling (PLS-SEM) from other disciplines and shows how they can be used in the area of Banking and Finance. In terms of empirical analysis techniques, Banking and Finance is a conservative discipline. As such, this book will raise awareness of the potential of PLS-SEM for application in various contexts. PLS-SEM is a non-parametric approach designed to maximize explained variance in latent constructs. Latent constructs are directly unobservable phenomena such as customer service quality and managerial competence. Explained variance refers to the extent we can predict, say, customer service quality, by examining other theoretically related latent constructs such as conduct of staff and communication skills. Examples of latent constructs at the microeconomic level include customer service quality, managerial effectiveness, perception of market leadership, etc.; macroeconomic-level latent constructs would be found in contagion of systemic risk from one financial sector to another, herd behavior among fund managers, risk tolerance in financial markets, etc. Behavioral Finance is bound to provide a wealth of opportunities for applying PLS-SEM. The book is designed to expose robust processes in application of PLS-SEM, including use of various software packages and codes, including R. PLS-SEM is already a popular tool in marketing and management information systems used to explain latent constructs. Until now, PLS-SEM has not enjoyed a wide acceptance in Banking and Finance. Based on recent research developments, this book represents the first collection of PLS-SEM applications in Banking and Finance. This book will serve as a reference book for those researchers keen on adopting PLS-SEM to explain latent constructs in Banking and Finance.

This book pulls together robust practices in Partial Least Squares Structural Equation Modeling (PLS-SEM) from other disciplines and shows how they can be used in the area of Banking and Finance. In terms of empirical analysis techniques, Banking and Finance is a conservative discipline. As such, this book will raise awareness of the potential of PLS-SEM for application in various contexts. PLS-SEM is a non-parametric approach designed to maximize explained variance in latent constructs. Latent constructs are directly unobservable phenomena such as customer service quality and managerial competence. Explained variance refers to the extent we can predict, say, customer service quality, by examining other theoretically related latent constructs such as conduct of staff and communication skills. Examples of latent constructs at the microeconomic level include customer service quality, managerial effectiveness, perception of market leadership, etc.; macroeconomic-level latent constructs would be found in contagion of systemic risk from one financial sector to another, herd behavior among fund managers, risk tolerance in financial markets, etc. Behavioral Finance is bound to provide a wealth of opportunities for applying PLS-SEM. The book is designed to expose robust processes in application of PLS-SEM, including use of various software packages and codes, including R. PLS-SEM is already a popular tool in marketing and management information systems used to explain latent constructs. Until now, PLS-SEM has not enjoyed a wide acceptance in Banking and Finance. Based on recent research developments, this book represents the first collection of PLS-SEM applications in Banking and Finance. This book will serve as a reference book for those researchers keen on adopting PLS-SEM to explain latent constructs in Banking and Finance.

Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of PLS-SEM such as the possibility to estimate very complex models and the method's flexibility in terms of data requirements and measurement specification. This practical open access guide provides a step-by-step treatment of the major choices in analyzing PLS path models using R, a free software environment for statistical computing, which runs on Windows, macOS, and UNIX computer platforms. Adopting the R software's SEMinR package, which brings a friendly syntax to creating and estimating structural equation models, each chapter offers a concise overview of relevant topics and metrics, followed by an in-depth description of a case study. Simple instructions give readers the "how-tos" of using SEMinR to obtain solutions and document their results. Rules of thumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM.

With applications using SmartPLS -the primary software used in partial least squares structural equation modeling (PLS-SEM)-this practical guide provides concise instructions on how to use this evolving statistical technique to conduct research and obtain solutions. Featuring the latest research, new examples, and expanded discussions throughout, the Second Edition is designed to be easily understood by those with limited statistical and mathematical training who want to pursue research opportunities in new ways. Please note that all examples in this Second Edition use SmartPLS 3. To access this software, please visit

As competition between value chains on globalized markets is constantly getting fiercer, there is a growing trend to achieve closer collaboration and integration within these value chains and increasingly more complex supply networks. Additionally, in the wake of the thrilling possibilities of using information technology and its potential in boosting the performance of supply chains, researchers are increasingly looking for technology-enabled solutions for a better supply chain performance management. This volume, edited by Thorsten Blecker, Wolfgang Kersten and Christian Ringle, provides valuable insights into: - Maritime Logistics - Challenges and Opportunities - Leveraging Logistics Processes for Supply Chain Performance Management - Innovative Technology Solutions in Supply Chains - Knowledge Management in Logistics. This volume appeals to researchers and practitioners alike, who are interested in current contributions by international authors, providing theoretical, empirical and case-study oriented background and information on their research work.

As the customer is demanding more sustainable and affordable products, the supply chains have to find innovative ways to fulfill this need. In this context, collaboration as well as optimization methods are becoming even more evident to enhance supply chain structure to an efficient and sustainable approach. While collaboration and optimization increase complexity and susceptibility, risk management needs to be applied concurrently. This volume, edited by Wolfgang Kersten, Thorsten Blecker and Christian Ringle, provides valuable insights into: - Sustainability in Logistics - Sustainability and collaboration practices - Supply chain risk management - Optimization methods in supply chain management. This volume addresses timely and relevant topics. Both researchers and practitioners are addressed and can obtain background information from current distributions by international authors presenting a state of the art research overview.