The early 2020s have been marked by a surge of interest in artificial intelligence (AI), and it has grown to be one of the hottest topics in computer science, business technology research, and educational technologies. Despite AI winters in the 1970s and 1990s, where interest and subsequently adequate funding for AI research ceased, and as the technology and its usefulness become more perceptible, often with brilliant results, society is once again ready to investigate this powerful technology and its potential. However, a challenge arises when AI is called into question in an ethical context. It is important that we explore how it can contribute to the resolution of ethical, social, and environmental issues and also to address growing concerns around AI developing emergent bias as well as the human application of AI for malicious purposes. With recent AI-based writing technologies, concerns around academic integrity abound and challenge our perceptions of authenticity in writing. A careful assessment of these technologies, their usefulness and potential harm, and strategic solutions to maintaining ethical standards and regulation of the technology is a necessity for the maintenance of civilized life amidst these tools. Philosophy of Artificial Intelligence and Its Place in Society evaluates various aspects of artificial intelligence including the range of technologies, their advantages and disadvantages, and how AI systems operate. Spanning from machine learning to deep learning, philosophical insights, societal concerns, and the newest approaches to AI, it helps to develop an appreciation for and breadth of knowledge across the full range of AI sub-disciplines including neural networks, evolutionary computation, computer vision, robotics, expert systems, speech processing, and natural language processing. Led Dr. Luiz Moutinho of the University of Suffolk in the United Kingdom, who has won several awards for his academic literature, this book provides academic market-scholars; researchers and students of philosophy, sociology, economics, and education; as well as corporate scientists with a comprehensive collection of core research elements, concepts, advances, applications, evidence, and outcomes related to artificial intelligence.

To gain the most competitive edge, marketers must continually optimize their promotional strategies. While the adult population is a prominent target, there is significant market potential for young consumers as well. Analyzing Children's Consumption Behavior: Ethics, Methodologies, and Future Considerations presents a dynamic overview of the best practices for marketing products that target children as consumers and analyzes the most effective promotional strategies being utilized. Highlighting both the advantages and challenges of targeting young consumers, this book is a pivotal reference source for marketers, professionals, researchers, upper-level students, and practitioners interested in emerging perspectives on children's consumption behavior.

Worldwide Casebook in Marketing Management comprises a large collection of case studies in marketing and business management. It covers a huge array of decision-making areas and many different industries ranging from computers, petrol retailing and electronic gaming to drinks, fashion, airlines and mobile communication. The worldwide cases are all related to many well-known brands and corporations like British Airways, Red Bull, Nintendo, Google, Microsoft, Cacharel, etc.

The field of marketing and management has undergone immense changes over the past decade. These dynamic changes are driving an increasing need for data analysis using quantitative modelling.Problem solving using the quantitative approach and other models has always been a hot topic in the fields of marketing and management. Quantitative modelling seems admirably suited to help managers in their strategic decision making on operations management issues. In social sciences, quantitative research refers to the systematic empirical investigation of social phenomena via statistical, mathematical or computational techniques.This book focuses on the description and applications of many quantitative modelling approaches applied to marketing and management. The structure encompasses statistical, computer and mathematical as well as other models. The topics range from fuzzy logic and logical discriminant models to growth models and k-clique models. It also covers current research being conducted in the field.

A seminal collection of research methodology themes, this two-volume work provides a set of key scholarly developments related to robustness, allowing scholars to advance their knowledge of research methods used outside of their own immediate fields. With a focus on emerging methodologies within management, key areas of importance are dissected with chapters covering statistical modelling, new measurements, digital research, biometrics and neuroscience, the philosophy of research, computer modelling approaches and new mathematical theories, among others. A genuinely pioneering contribution to the advancement of research methods in business studies, Innovative Research Methodologies in Management presents an analytical and engaging discussion on each topic. By introducing new research agendas it aims to pave the way for increased application of innovative techniques, allow ing the exploration of future research perspectives. Volume I covers a range of research methodologies within the realms of philosophy, measurement and modelling, and focusses on meta-modern mixed methods such as neurophilosophy, diagnostic measurement, and emotivity and ephemera research.

The field of marketing and management has undergone immense changes over the past decade. These dynamic changes are driving an increasing need for data analysis using quantitative modelling. Problem solving using the quantitative approach and other models has always been a hot topic in the fields of marketing and management. Quantitative modelling seems admirably suited to help managers in their strategic decision making on operations management issues. In social sciences, quantitative research refers to the systematic empirical investigation of social phenomena via statistical, mathematical or computational techniques.The first edition of 'Quantitative Modelling in Marketing and Management' focused on the description and applications of many quantitative modelling approaches applied to marketing and management. The topics ranged from fuzzy logic and logical discriminant models to growth models and k-clique models.The second edition follows the thread of the first one by covering a myriad of techniques and applications in the areas of statistical, computer, mathematical as well as other novel nomothetic methods. It greatly reinforces the areas of computer, mathematical and other modeling tools that are designed to bring a level of awareness and knowledge among academics and researchers in marketing and management, so that there is an increase in the application of these new approaches that will be embedded in future scholarly output.

This single-volume reference provides an alternative to traditional marketing research methods handbooks, focusing entirely on the new and innovative methods and technologies that are transforming marketing research and practice. Including original contributions and case studies from leading global specialists, this handbook covers many pioneering methods, such as: Methods for the analysis of user- and customer-generated data, including opinion mining and sentiment analysis Big data Neuroscientific techniques and physiological measures Voice prints Human-computer interaction Emerging approaches such as shadowing, netnographies and ethnographies Transcending the old divisions between qualitative and quantitative research methods, this book is an essential tool for market researchers in academia and practice.

A seminal collection of research methodology themes, this two-volume work provides a set of key scholarly developments related to robustness, allowing scholars to advance their knowledge of research methods used outside of their own immediate fields. With a focus on emerging methodologies within management, key areas of importance are dissected with chapters covering statistical modelling, new measurements, digital research, biometrics and neuroscience, the philosophy of research, computer modelling approaches and new mathematical theories, among others. A genuinely pioneering contribution to the advancement of research methods in business studies, Innovative Research Methodologies in Management presents an analytical and engaging discussion on each topic. By introducing new research agendas it aims to pave the way for increased application of innovative techniques, allowing the exploration of future research perspectives. Volume II explores a range of research methodologies including the Spatial Delphi and Spatial Shang, Virtual Reality, the Futures Polygon and Neuroscience research.

Marketing has changed substantially in the last few years. With more and more research conducted in marketing and consumer behaviour fields, and technological advances and applications occurring on a regular basis, the future of marketing opens up a world of exciting opportunities. Going beyond a state-of-the-art view of the discipline, this innovative volume focuses on the advances being made in many different areas such as; critical thinking, new paradigms, novel conceptualisations, as well as key technological innovations with a direct impact on the theory and practice of marketing. Each chapter presents an expert overview, and an analytical and engaging discussion of the topic, as well as introducing a specific research agenda paving the way for the future. The Routledge Companion to the Future of Marketing provides the reader with a comprehensive set of visionary insights into the future of marketing. This prestigious collection aims to challenge the mindset of marketing scholars, transforming current thinking into new perspectives and advances in marketing knowledge.

Traditional narratives on strategic management no longer fulfil the needs of students, practitioners, consultants and business owners operating within contemporary society. This textbook provides a differentiated approach to the topic, highlighting the dichotomy between theory and practice, and guiding readers towards an understanding of the future of strategic management. Moving beyond the short-sighted goal of profit maximization, Contemporary Issues in Strategic Management shines a light on measures that really matter, such as value. A wealth of global examples provide an illustration of competitive advantage from market-based and state-based perspectives, giving an insight into the activities that lead to the formation of successful and unsuccessful strategies. Written by two distinguished scholars in the field, this global textbook is essential reading for postgraduate students of strategic management worldwide.

Traditional narratives on strategic management no longer fulfil the needs of students, practitioners, consultants and business owners operating within contemporary society. This textbook provides a differentiated approach to the topic, highlighting the dichotomy between theory and practice, and guiding readers towards an understanding of the future of strategic management. Moving beyond the short-sighted goal of profit maximization, Contemporary Issues in Strategic Management shines a light on measures that really matter, such as value. A wealth of global examples provide an illustration of competitive advantage from market-based and state-based perspectives, giving an insight into the activities that lead to the formation of successful and unsuccessful strategies. Written by two distinguished scholars in the field, this global textbook is essential reading for postgraduate students of strategic management worldwide.

This single-volume reference provides an alternative to traditional marketing research methods handbooks, focusing entirely on the new and innovative methods and technologies that are transforming marketing research and practice. Including original contributions and case studies from leading global specialists, this handbook covers many pioneering methods, such as: Methods for the analysis of user- and customer-generated data, including opinion mining and sentiment analysis Big data Neuroscientific techniques and physiological measures Voice prints Human-computer interaction Emerging approaches such as shadowing, netnographies and ethnographies Transcending the old divisions between qualitative and quantitative research methods, this book is an essential tool for market researchers in academia and practice.

A seminal collection of research methodology themes, this two-volume work provides a set of key scholarly developments related to robustness, allowing scholars to advance their knowledge of research methods used outside of their own immediate fields. With a focus on emerging methodologies within management, key areas of importance are dissected with chapters covering statistical modelling, new measurements, digital research, biometrics and neuroscience, the philosophy of research, computer modelling approaches and new mathematical theories, among others. A genuinely pioneering contribution to the advancement of research methods in business studies, Innovative Research Methodologies in Management presents an analytical and engaging discussion on each topic. By introducing new research agendas it aims to pave the way for increased application of innovative techniques, allowing the exploration of future research perspectives. Volume II explores a range of research methodologies including the Spatial Delphi and Spatial Shang, Virtual Reality, the Futures Polygon and Neuroscience research.

A seminal collection of research methodology themes, this two-volume work provides a set of key scholarly developments related to robustness, allowing scholars to advance their knowledge of research methods used outside of their own immediate fields. With a focus on emerging methodologies within management, key areas of importance are dissected with chapters covering statistical modelling, new measurements, digital research, biometrics and neuroscience, the philosophy of research, computer modelling approaches and new mathematical theories, among others. A genuinely pioneering contribution to the advancement of research methods in business studies, Innovative Research Methodologies in Management presents an analytical and engaging discussion on each topic. By introducing new research agendas it aims to pave the way for increased application of innovative techniques, allow ing the exploration of future research perspectives. Volume I covers a range of research methodologies within the realms of philosophy, measurement and modelling, and focusses on meta-modern mixed methods such as neurophilosophy, diagnostic measurement, and emotivity and ephemera research.

Strategic Marketing Management: A process based approach integrates Marketing with other aspects of Management such as strategy, organisational theory, strategic financial management and management accounting, HRM, information systems, corporate image and communications, operations management and logistics. It provides students with an overview of how marketing fits into the overall management picture. Strategic Marketing Management: a process-based approach draws heavily on Business Process Re-engineering (BPR), a term which, in the past ten years, has caught the imagination of the business and commercial world.

This work provides a practical reference source to crucial issues in tourism marketing and management. It aims to guide tourism students with the depth of coverage of various management decision areas; the applied analysis and discussion which includes pertinent examples; the lengthy chapter bibliographies for those requiring more in-depth knowledge; and the international approach used in the preparation of the chapters. 47 chapters, from internationally renowned authorities, cover tourism marketing and management concepts, techniques and applications.

The book is designed to impart and convey knowledge as well as understanding of the range of biometric technologies and cybertechnologies, while also stressing their advantages and disadvantages. The authors aim to develop an appreciation for and breadth of knowledge that spans the full range of neuroscience sub-disciplines, including behavioural, cognitive, and computational neuroscience. Furthermore, the content of the book is geared to be able to place neuroscience into an ethical context, especially how studying the brain and behaviour can contribute to the resolution of ethical, social, and environmental issues.

Contemporary Issues in Marketing provides an innovative approach to learning about key marketing concepts based on a collaboration with Marketing Week.

This book provides an overview of the main elements of marketing together with the key issues in contemporary marketing, explored through the reproduction of significant clippings from Marketing Week. Questions on these clippings can be used as assignments and seminar topics, whilst answers and possible 'problem solving' approaches are suggested.

This book includes selected papers presented at the International Conference on Marketing and Technologies (ICMarkTech 2021), held at University of La Laguna, Tenerife, Spain, during December 2-4, 2021. It covers up-to-date cutting-edge research on artificial intelligence applied in marketing, virtual and augmented reality in marketing, business intelligence databases and marketing, data mining and big data, marketing data science, web marketing, e-commerce and v-commerce, social media and networking, geomarketing and IoT, marketing automation and inbound marketing, machine learning applied to marketing, customer data management and CRM, and neuromarketing technologies.