This enlightening book comprehensively maps the current state of economic psychology and behavioural economics. Exploring key concepts, topics and models in the field, it is also a launching pad for future research, providing useful insights on how to make good personal and professional decisions, advancing microeconomic discourse. The book lays out how economic decisions are made by answering key questions in the bordering field between economics and psychology. Close to the ecological rationality research program, it presents the main factors that determine economic choices, before exploring the most common algorithms used to concretize economic decisions and the main strategies for altering preferences. Chapters focus on the general issues surrounding economic choices, such as preferences, beliefs and emotions, and on the heuristic algorithms applied by people in decision-making processes, among which there are outstanding social concerns. Drawing these elements together, the author presents a seminal model combining preferences and heuristics to explain choices in the consumption of goods and services. This book will be an invaluable resource for academic and professional economists seeking to deepen their understanding of the psychological dimension of economic decisions. It will also be a useful guide for students of economics, management and the wider social sciences curious about decision-making procedures.

Unlike some other reproductions of classic texts (1) We have not used OCR(Optical Character Recognition), as this leads to bad quality books with introduced typos. (2) In books where there are images such as portraits, maps, sketches etc We have endeavoured to keep the quality of these images, so they represent accurately the original artefact. Although occasionally there may be certain imperfections with these old texts, we feel they deserve to be made available for future generations to enjoy.

Artificial intelligence (AI) is becoming a reality for pioneering organizations while they are facing complex and multifaceted aspects of business sustainability with ambiguous and changing ethical norms and vague or nonexistent legislation. The first quarter of the 21st century was identified as the beginning of the continuous, ongoing, and accelerating wave of simultaneous general purpose technologies revolutions causing accelerated shrinkage of the half-life of knowledge. Cases on Enhancing Business Sustainability Through Knowledge Management Systems presents teaching case studies exploring the formulation and implementation of knowledge management systems (KMS) in organizations. Covering topics such as automation, machine learning, and socio-ecological innovation, this case book is an essential resource for business leaders and managers, IT managers, entrepreneurs, government officials, computer scientists, students and educators of higher education, librarians, researchers, and academicians.

The rapid growth of IoT and its applications in smart cities have brought about significant challenges for academic scholars. The increasing number of interconnected devices and the massive amounts of data they generate strain traditional networks, leading to inefficiencies and security vulnerabilities. Additionally, the centralized control plane in Software Defined Networks (SDN) poses a single point of failure, hindering network performance. Moreover, IoT devices themselves are susceptible to attacks, compromising user data and privacy. Scholars in the field urgently need a comprehensive solution to address these pressing issues. Network-Enabled IoT Applications for Smart City Services offer a compelling solution to the challenges faced by academic scholars in the IoT and smart city domain. Dr. K. Hemant Kumar Reddy, along with Dr. Diptendu SinhaRoy and Tapas Mishra, presents a persuasive and timely approach in this book. They propose leveraging SDN, which decouples the control plane from the data plane, enabling more efficient handling of high-frequency data streams from IoT devices. Additionally, the authors advocate for the integration of blockchain technology to enhance security and reliability in IoT applications. By decentralizing control and ensuring tamper-proof transactions, blockchain offers a promising solution for robust data management. This book provides academic scholars with a comprehensive and innovative solution to the challenges posed by IoT applications in smart city services. With their extensive expertise, the authors address critical issues such as network strain, security vulnerabilities, and device failures. By offering insights into the use of SDN and blockchain, the authors provide a roadmap for scholars to enhance network efficiency, security, and reliability in IoT applications. Network-Enabled IoT Applications for Smart City Services serve as an invaluable resource, inspiring further research and development in this rapidly evolving field and enabling scholars to make significant contributions to the advancement of IoT and smart city technologies.