Equity crowdfunding is a new way for seed stage start-ups to generate initial capital and, as such, raises questions around the choices made by investors within this area. Understanding it is important for investor protection, as investors are generally unaware of the factors that can influence their decisions. However, investing in equity crowdfunding places the investor in a unique decision-making framework, in which resources such as images, videos and storytelling are all mobilized by entrepreneurs and platforms as tools of persuasion. This context thus seems to favor more holistic and emotional decision-making, rather than a process that is rational and analytical. Volume 1 presents a transdisciplinary theoretical analysis, combining different fields within the social sciences, primarily finance, marketing and psychology. In this second volume, an explanatory model is developed on the basis of this theoretical framework, which is then empirically tested using data from laboratory experiments. This book also proposes the original theory of emotional matching, which is both justified and substantiated. It personalizes behavior and offers a new perspective based on project characteristics and investor preferences.

Equity crowdfunding is a new way for seed stage start-ups to generate initial capital and, as such, raises questions around the choices made by investors within this area. Understanding it is important for investor protection, as investors are generally unaware of the factors that can influence their decisions. However, investing in equity crowdfunding places the investor in a unique decision-making framework, in which resources such as images, videos and storytelling are all mobilized by entrepreneurs and platforms as tools of persuasion. This context thus seems to favor more holistic and emotional decision-making, rather than a process that is rational and analytical. Volume 1 presents a transdisciplinary theoretical analysis, combining different fields within the social sciences, primarily finance, marketing and psychology. In this second volume, an explanatory model is developed on the basis of this theoretical framework, which is then empirically tested using data from laboratory experiments. This book also proposes the original theory of emotional matching, which is both justified and substantiated. It personalizes behavior and offers a new perspective based on project characteristics and investor preferences.

Equity crowdfunding is a new way for seed stage start-ups to generate initial capital and, as such, raises questions around the choices made by investors within this area. Understanding it is important for investor protection, as investors are generally unaware of the factors that can influence their decisions. However, investing in equity crowdfunding places the investor in a unique decision-making framework, in which resources such as images, videos and storytelling are all mobilized by entrepreneurs and platforms as tools of persuasion. This context thus seems to favor more holistic and emotional decision-making, rather than a process that is rational and analytical. Volume 1 presents a transdisciplinary theoretical analysis, combining different fields within the social sciences, primarily finance, marketing and psychology. In this second volume, an explanatory model is developed on the basis of this theoretical framework, which is then empirically tested using data from laboratory experiments. This book also proposes the original theory of Âemotional matchingÂ, which is both justified and substantiated. It personalizes behavior and offers a new perspective based on project characteristics and investor preferences.

Equity crowdfunding is a new way for seed stage start-ups to generate initial capital and, as such, raises questions around the choices made by investors within this area. Understanding it is important for investor protection, as investors are generally unaware of the factors that can influence their decisions. However, investing in equity crowdfunding places the investor in a unique decision-making framework, in which resources such as images, videos and storytelling are all mobilized by entrepreneurs and platforms as tools of persuasion. This context thus seems to favor more holistic and emotional decision-making, rather than a process that is rational and analytical. This first volume centers on the emotional and axiological determinants of choice. A transdisciplinary theoretical analysis is carried out, combining different fields within the social sciences, primarily finance, marketing and psychology. This state of the art leads to the emergence of an original theoretical framework for understanding investment choices in equity crowdfunding.

Equity crowdfunding is a new way for seed stage start-ups to generate initial capital and, as such, raises questions around the choices made by investors within this area. Understanding it is important for investor protection, as investors are generally unaware of the factors that can influence their decisions. However, investing in equity crowdfunding places the investor in a unique decision-making framework, in which resources such as images, videos and storytelling are all mobilized by entrepreneurs and platforms as tools of persuasion. This context thus seems to favor more holistic and emotional decision-making, rather than a process that is rational and analytical. This first volume centers on the emotional and axiological determinants of choice. A transdisciplinary theoretical analysis is carried out, combining different fields within the social sciences, primarily finance, marketing and psychology. This state of the art leads to the emergence of an original theoretical framework for understanding investment choices in equity crowdfunding.

The book is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians who have been working at the forefront of data analysis and related applications, arising from data science, operations research, engineering, machine learning or statistics. The chapters of this collaborative work represent a cross-section of current research interests in the above scientific areas. The collected material has been divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications. The published data analysis methodology includes the updated state-of-the-art rapidly developed theory and applications of data expansion, both of which go through outstanding changes nowadays. New approaches are expected to deliver and have been developed, including Artificial Intelligence.