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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.
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.
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.Â
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.
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.
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