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This book aims to provide a comprehensive review of the
contribution of network analysis to the understanding of tourism
destinations and organizations. Theoretical and methodological
aspects are discussed along with a series of applications. While
this is a relatively new approach in the tourism literature, in
other social and natural sciences network analysis has a long
tradition and has provided important insights for the knowledge of
the structure and the dynamics of many complex systems. The study
of network structures, both from a quantitative and qualitative
point of view, can deliver a number of useful outcomes also for the
analysis of tourism destinations and organizations.
In this revised second edition, Baggio and Klobas build upon the
work of their previous volume, offering a presentation of
quantitative research methods for tourism researchers. This
accessible and rigorous guide goes beyond the approaches usually
covered in introductory textbooks on quantitative methods to
consider useful techniques for statistical inquiry into tourism
matters of all but the most econometrically complex kind. The first
part of the book concerns common issues in statistical analysis of
data and the most widely-used techniques, while the second part
describes and discusses several newer and less common approaches to
data analysis that are valuable for tourism researchers and
analysts. Updates to the second edition include: * a new chapter on
"Big Data" * consideration of data screening and cleaning * the use
of similarity and diversity indexes for comparing samples *
observations about the partial least squares (PLS) approach to path
modelling * a new section on multi-group structural equation
modelling * a new section on common method variance and its
treatment * revised and updated section on software * fully updated
references and examples
In this revised second edition, Baggio and Klobas build upon the
work of their previous volume, offering a presentation of
quantitative research methods for tourism researchers. This
accessible and rigorous guide goes beyond the approaches usually
covered in introductory textbooks on quantitative methods to
consider useful techniques for statistical inquiry into tourism
matters of all but the most econometrically complex kind. The first
part of the book concerns common issues in statistical analysis of
data and the most widely-used techniques, while the second part
describes and discusses several newer and less common approaches to
data analysis that are valuable for tourism researchers and
analysts. Updates to the second edition include: • a new chapter
on “Big Data” • consideration of data screening and
cleaning • the use of similarity and diversity indexes for
comparing samples • observations about the partial least squares
(PLS) approach to path modelling • a new section on multi-group
structural equation modelling • a new section on common method
variance and its treatment • revised and updated section on
software • fully updated references and examples
Managing Tourism in a Changing World provides an overview of
state-of-the-art research surrounding today's tourism management.
Recognising the relevance of tourism activities as major economic
drivers, this book offers a significant contribution to the
advancement of managerial practice in the tourism field. It is the
outcome of the collective intellectual efforts of a number of
scholars, with dissimilar geographical roots and backgrounds, who
cultivate original research on tourism management from a variety of
perspectives (economic, managerial) and using multiple methods
(theory building, experimental and inductive case-based inquiries).
While drawing on multiple theoretical perspectives and adopting
different epistemological paradigms and methodologies, this book
answers a wide range of research questions related to a number of
relevant themes in the following fields: destination management,
marketing and branding, inter-organizational dynamics and corporate
social responsibility in the tourism sector. This book was
originally published as a special issue of Anatolia.
This book aims to shed light on the use of various modelling tools
and simulation techniques in the domains of tourism and
hospitality. It offers an essential introduction to the most
popular methods used for modelling and simulating systems and
phenomena of interest, and an overview of these techniques and
methods. The main concept of each technique and method is examined
and case studies and links to free online tutorials and other
helpful resources are provided. The volume aims to encourage
students, researchers and practitioners in tourism and hospitality
to enhance and enrich their toolbox in order to achieve a better
and more profound knowledge of their field.
This book aims to shed light on the use of various modelling tools
and simulation techniques in the domains of tourism and
hospitality. It offers an essential introduction to the most
popular methods used for modelling and simulating systems and
phenomena of interest, and an overview of these techniques and
methods. The main concept of each technique and method is examined
and case studies and links to free online tutorials and other
helpful resources are provided. The volume aims to encourage
students, researchers and practitioners in tourism and hospitality
to enhance and enrich their toolbox in order to achieve a better
and more profound knowledge of their field.
This book aims to provide a comprehensive review of the
contribution of network analysis to the understanding of tourism
destinations and organizations. Theoretical and methodological
aspects are discussed along with a series of applications. While
this is a relatively new approach in the tourism literature, in
other social and natural sciences network analysis has a long
tradition and has provided important insights for the knowledge of
the structure and the dynamics of many complex systems. The study
of network structures, both from a quantitative and qualitative
point of view, can deliver a number of useful outcomes also for the
analysis of tourism destinations and organizations.
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