Strategy, Leadership and AI in the Cyber Ecosystem investigates the restructuring of the way cybersecurity and business leaders engage with the emerging digital revolution towards the development of strategic management, with the aid of AI, and in the context of growing cyber-physical interactions (human/machine co-working relationships). The book explores all aspects of strategic leadership within a digital context. It investigates the interactions from both the firm/organization strategy perspective, including cross-functional actors/stakeholders who are operating within the organization and the various characteristics of operating in a cyber-secure ecosystem.

As consumption and reliance by business on the use of vast amounts of data in operations increase, demand for more data governance to minimize the issues of bias, trust, privacy and security may be necessary. The role of management is changing dramatically, with the challenges of Industry 4.0 and the digital revolution. With this intelligence explosion, the influence of artificial intelligence technology and the key themes of machine learning, big data, and digital twin are evolving and creating the need for cyber-physical management professionals.

Social media has spread rapidly on the global stage, driving consumers’ attention and influence, both consciously and subconsciously. Whilst this type of platform may have been initially designed as a tool for open communication and expression, it is also being utilized as a digital tool, with widescale use cases. The intelligence explosion, information overload and disinformation play a significant part regarding individual, group and country perceptions. The complex nature of this data explosion created an increasing demand and use of artificial intelligence (AI) and machine learning (ML), to help provide ‘big insights’ to ‘big data’. AI and ML enable the analysis and dissemination of vast amounts of data, however the ungoverned pace at which AI and autonomous systems have been deployed, has created unforeseen problems. Many algorithms and AI systems have been trained on limited or unverified datasets, creating inbuilt and unseen biases. Where these algorithmic tools have been deployed in high impact systems, there are documented occurrences of disastrous decision making and outcomes that have negatively impacted people and communities. Little to no work had been conducted in its vulnerability and ability to exploit AI itself. So, AI and autonomous systems, whilst being a force for societal good, could have the potential to create and exacerbate societies greatest challenges. This is a cohesive volume that addresses challenging problems and presents a range of innovative approaches and discussion.

Social media has spread rapidly on the global stage, driving consumers’ attention and influence, both consciously and subconsciously. Whilst this type of platform may have been initially designed as a tool for open communication and expression, it is also being utilized as a digital tool, with widescale use cases. The intelligence explosion, information overload and disinformation play a significant part regarding individual, group and country perceptions. The complex nature of this data explosion created an increasing demand and use of artificial intelligence (AI) and machine learning (ML), to help provide ‘big insights’ to ‘big data’. AI and ML enable the analysis and dissemination of vast amounts of data, however the ungoverned pace at which AI and autonomous systems have been deployed, has created unforeseen problems. Many algorithms and AI systems have been trained on limited or unverified datasets, creating inbuilt and unseen biases. Where these algorithmic tools have been deployed in high impact systems, there are documented occurrences of disastrous decision making and outcomes that have negatively impacted people and communities. Little to no work had been conducted in its vulnerability and ability to exploit AI itself. So, AI and autonomous systems, whilst being a force for societal good, could have the potential to create and exacerbate societies greatest challenges. This is a cohesive volume that addresses challenging problems and presents a range of innovative approaches and discussion.

Market Grooming: The Dark Side of AI Marketing marks a paradigm shift in the field of marketing. This thought-provoking scholarly work examines how customers, markets and communities are groomed, socially conditioned, subliminally marketed to, and influenced by the use of AI technologies.

This comprehensive collection of research articles covers various aspects of AI and its impact on marketing, consumer behavior, and market grooming. It delves into the views and attitudes of consumers in the AI era, as well as the negotiation tactics and misbehaviors observed in digital AI marketing. The impact of AI, machine learning, and the Internet of Things on business and marketing models is thoroughly explored, including both positive and negative effects on individuals, communities, and different domains like social, politico-legal, and ethical spheres. The collection further examines customer relationships management (CRM) and the consequences of AI implementation in marketing and market grooming, highlighting the need for anti-data mining practices. Lastly, it addresses the challenges, concerns, and strategic directions for achieving ethic-socio-sustainable marketing using technology, especially in the context of Industry 5.0.

With contributions from experts in universities and institutions worldwide, this work offers valuable insights for regulators, marketers, governments, and communities in navigating the ever-evolving landscape of AI-driven marketing and market grooming.

Market Grooming: The Dark Side of AI Marketing marks a paradigm shift in the field of marketing. This thought-provoking scholarly work examines how customers, markets and communities are groomed, socially conditioned, subliminally marketed to, and influenced by the use of AI technologies.

This comprehensive collection of research articles covers various aspects of AI and its impact on marketing, consumer behavior, and market grooming. It delves into the views and attitudes of consumers in the AI era, as well as the negotiation tactics and misbehaviors observed in digital AI marketing. The impact of AI, machine learning, and the Internet of Things on business and marketing models is thoroughly explored, including both positive and negative effects on individuals, communities, and different domains like social, politico-legal, and ethical spheres. The collection further examines customer relationships management (CRM) and the consequences of AI implementation in marketing and market grooming, highlighting the need for anti-data mining practices. Lastly, it addresses the challenges, concerns, and strategic directions for achieving ethic-socio-sustainable marketing using technology, especially in the context of Industry 5.0.

With contributions from experts in universities and institutions worldwide, this work offers valuable insights for regulators, marketers, governments, and communities in navigating the ever-evolving landscape of AI-driven marketing and market grooming.

Governments, communities, and developers are considering the use of ICT, renewable energies, and a host of other technologies to build smart cities that meet the economic, social, environmental, and cultural needs of the present as well as the future. However, are our cities ready for this technological shift? Can we put expansion behind us and focus on sustainability and re-generatability? Are the technologies themselves enough to create real impact and an overall healthier planet?

Acknowledging the smart cities phenomenon not as a future goal but as an active part of our present, this book critically examines the strategies, business models, practices, tools, and actions needed to ensure that smart cities deliver the solutions they promise.

Governments, communities, and developers are considering the use of ICT, renewable energies, and a host of other technologies to build smart cities that meet the economic, social, environmental, and cultural needs of the present as well as the future. However, are our cities ready for this technological shift? Can we put expansion behind us and focus on sustainability and re-generatability? Are the technologies themselves enough to create real impact and an overall healthier planet?

Acknowledging the smart cities phenomenon not as a future goal but as an active part of our present, this book critically examines the strategies, business models, practices, tools, and actions needed to ensure that smart cities deliver the solutions they promise.

This book aims to highlight the gaps and the transparency issues in the clinical research and trials processes and how there is a lack of information flowing back to researchers and patients involved in those trials.

Lack of data transparency is an underlying theme within the clinical research world and causes issues of corruption, fraud, errors and a problem of reproducibility. Blockchain can prove to be a method to ensure a much more joined up and integrated approach to data sharing and improving patient outcomes. Surveys undertaken by creditable organisations in the healthcare industry are analysed in this book that show strong support for using blockchain technology regarding strengthening data security, interoperability and a range of beneficial use cases where mostly all respondents of the surveys believe blockchain will be important for the future of the healthcare industry.

Another aspect considered in the book is the coming surge of healthcare wearables using Internet of Things (IoT) and the prediction that the current capacity of centralised networks will not cope with the demands of data storage. The benefits are great for clinical research, but will add more pressure to the transparency of clinical trials and how this is managed unless a secure mechanism like, blockchain is used. 

This book provides a holistic perspective on Digital Twin (DT) technologies, and presents cutting-edge research in the field. It assesses the opportunities that DT can offer for smart cities, and covers the requirements for ensuring secure, safe and sustainable smart cities. Further, the book demonstrates that DT and its benefits with regard to:  

hold significant potential for applications in smart cities, by employing a wide range of sensory and data-acquisition systems in various parts of the urban infrastructure. 

The contributing authors reveal how and why DT technologies that are used for monitoring, visualising, diagnosing and predicting in real-time are vital to cities’ sustainability and efficiency. The concepts outlined in the book represents a city together with all of its infrastructure elements, which communicate with each other in a complex manner. Moreover, securing Internet of Things (IoT) which is one of the key enablers of DT’s is discussed in details and from various perspectives. 

This publication highlights the fast-moving technological advancement and infiltration of Artificial Intelligence into society. Concepts of evolution of society through interconnectivity are explored, together with how the fusion of human and technological interaction leading to Augmented Humanity is fast becoming more than just an endemic phase, but a cultural phase shift to digital societies. It aims to balance both the positive progressive outlooks such developments bring with potential issues that may stem from innovation of this kind, such as the invasive procedures of bio hacking or ethical connotations concerning the usage of digital twins. This publication will also give the reader a good level of understanding on fundamental cyber defence principles, interactions with Critical National Infrastructure (CNI) and the Command, Control, Communications and Intelligence (C3I) decision-making framework. A detailed view of the cyber-attack landscape will be garnered; touching on thetactics, techniques and procedures used, red and blue teaming initiatives, cyber resilience and the protection of larger scale systems. The integration of AI, smart societies, the human-centric approach and Augmented Humanity is discernible in the exponential growth, collection and use of [big] data; concepts woven throughout the diversity of topics covered in this publication; which also discusses the privacy and transparency of data ownership, and the potential dangers of exploitation through social media. As humans are become ever more interconnected, with the prolificacy of smart wearable devices and wearable body area networks, the availability of and abundance of user data and metadata derived from individuals has grown exponentially. The notion of data ownership, privacy and situational awareness are now at the forefront in this new age.

This book provides a valuable reference for digital forensics practitioners and cyber security experts operating in various fields of law enforcement, incident response and commerce. It is also aimed at researchers seeking to obtain a more profound knowledge of Digital Forensics and Cybercrime. Furthermore, the book is an exceptional advanced text for PhD and Master degree programmes in Digital Forensics and Cyber Security. Each chapter of this book is written by an internationally-renowned expert who has extensive experience in law enforcement, industry and academia.

The increasing popularity in the use of IoT devices for criminal activities means that there is a maturing discipline and industry around IoT forensics. As technology becomes cheaper and easier to deploy in an increased number of discrete, everyday objects, scope for the automated creation of personalised digital footprints becomes greater. Devices which are presently included within the Internet of Things (IoT) umbrella have a massive potential to enable and shape the way that humans interact and achieve objectives. These also forge a trail of data that can be used to triangulate and identify individuals and their actions. As such, interest and developments in autonomous vehicles, unmanned drones and ‘smart’ home appliances are creating unprecedented opportunities for the research communities to investigate the production and evaluation of evidence through the discipline of digital forensics.

Strategy, Leadership and AI in the Cyber Ecosystem investigates the restructuring of the way cybersecurity and business leaders engage with the emerging digital revolution towards the development of strategic management, with the aid of AI, and in the context of growing cyber-physical interactions (human/machine co-working relationships). The book explores all aspects of strategic leadership within a digital context. It investigates the interactions from both the firm/organization strategy perspective, including cross-functional actors/stakeholders who are operating within the organization and the various characteristics of operating in a cyber-secure ecosystem.

As consumption and reliance by business on the use of vast amounts of data in operations increase, demand for more data governance to minimize the issues of bias, trust, privacy and security may be necessary. The role of management is changing dramatically, with the challenges of Industry 4.0 and the digital revolution. With this intelligence explosion, the influence of artificial intelligence technology and the key themes of machine learning, big data, and digital twin are evolving and creating the need for cyber-physical management professionals.

Social media has spread rapidly on the global stage, driving consumers’ attention and influence, both consciously and subconsciously. Whilst this type of platform may have been initially designed as a tool for open communication and expression, it is also being utilized as a digital tool, with widescale use cases. The intelligence explosion, information overload and disinformation play a significant part regarding individual, group and country perceptions. The complex nature of this data explosion created an increasing demand and use of artificial intelligence (AI) and machine learning (ML), to help provide ‘big insights’ to ‘big data’. AI and ML enable the analysis and dissemination of vast amounts of data, however the ungoverned pace at which AI and autonomous systems have been deployed, has created unforeseen problems. Many algorithms and AI systems have been trained on limited or unverified datasets, creating inbuilt and unseen biases. Where these algorithmic tools have been deployed in high impact systems, there are documented occurrences of disastrous decision making and outcomes that have negatively impacted people and communities. Little to no work had been conducted in its vulnerability and ability to exploit AI itself. So, AI and autonomous systems, whilst being a force for societal good, could have the potential to create and exacerbate societies greatest challenges. This is a cohesive volume that addresses challenging problems and presents a range of innovative approaches and discussion.

Social media has spread rapidly on the global stage, driving consumers’ attention and influence, both consciously and subconsciously. Whilst this type of platform may have been initially designed as a tool for open communication and expression, it is also being utilized as a digital tool, with widescale use cases. The intelligence explosion, information overload and disinformation play a significant part regarding individual, group and country perceptions. The complex nature of this data explosion created an increasing demand and use of artificial intelligence (AI) and machine learning (ML), to help provide ‘big insights’ to ‘big data’. AI and ML enable the analysis and dissemination of vast amounts of data, however the ungoverned pace at which AI and autonomous systems have been deployed, has created unforeseen problems. Many algorithms and AI systems have been trained on limited or unverified datasets, creating inbuilt and unseen biases. Where these algorithmic tools have been deployed in high impact systems, there are documented occurrences of disastrous decision making and outcomes that have negatively impacted people and communities. Little to no work had been conducted in its vulnerability and ability to exploit AI itself. So, AI and autonomous systems, whilst being a force for societal good, could have the potential to create and exacerbate societies greatest challenges. This is a cohesive volume that addresses challenging problems and presents a range of innovative approaches and discussion.

Market Grooming: The Dark Side of AI Marketing marks a paradigm shift in the field of marketing. This thought-provoking scholarly work examines how customers, markets and communities are groomed, socially conditioned, subliminally marketed to, and influenced by the use of AI technologies.

This comprehensive collection of research articles covers various aspects of AI and its impact on marketing, consumer behavior, and market grooming. It delves into the views and attitudes of consumers in the AI era, as well as the negotiation tactics and misbehaviors observed in digital AI marketing. The impact of AI, machine learning, and the Internet of Things on business and marketing models is thoroughly explored, including both positive and negative effects on individuals, communities, and different domains like social, politico-legal, and ethical spheres. The collection further examines customer relationships management (CRM) and the consequences of AI implementation in marketing and market grooming, highlighting the need for anti-data mining practices. Lastly, it addresses the challenges, concerns, and strategic directions for achieving ethic-socio-sustainable marketing using technology, especially in the context of Industry 5.0.

With contributions from experts in universities and institutions worldwide, this work offers valuable insights for regulators, marketers, governments, and communities in navigating the ever-evolving landscape of AI-driven marketing and market grooming.

Market Grooming: The Dark Side of AI Marketing marks a paradigm shift in the field of marketing. This thought-provoking scholarly work examines how customers, markets and communities are groomed, socially conditioned, subliminally marketed to, and influenced by the use of AI technologies.

This comprehensive collection of research articles covers various aspects of AI and its impact on marketing, consumer behavior, and market grooming. It delves into the views and attitudes of consumers in the AI era, as well as the negotiation tactics and misbehaviors observed in digital AI marketing. The impact of AI, machine learning, and the Internet of Things on business and marketing models is thoroughly explored, including both positive and negative effects on individuals, communities, and different domains like social, politico-legal, and ethical spheres. The collection further examines customer relationships management (CRM) and the consequences of AI implementation in marketing and market grooming, highlighting the need for anti-data mining practices. Lastly, it addresses the challenges, concerns, and strategic directions for achieving ethic-socio-sustainable marketing using technology, especially in the context of Industry 5.0.

With contributions from experts in universities and institutions worldwide, this work offers valuable insights for regulators, marketers, governments, and communities in navigating the ever-evolving landscape of AI-driven marketing and market grooming.

Governments, communities, and developers are considering the use of ICT, renewable energies, and a host of other technologies to build smart cities that meet the economic, social, environmental, and cultural needs of the present as well as the future. However, are our cities ready for this technological shift? Can we put expansion behind us and focus on sustainability and re-generatability? Are the technologies themselves enough to create real impact and an overall healthier planet?

Acknowledging the smart cities phenomenon not as a future goal but as an active part of our present, this book critically examines the strategies, business models, practices, tools, and actions needed to ensure that smart cities deliver the solutions they promise.

Governments, communities, and developers are considering the use of ICT, renewable energies, and a host of other technologies to build smart cities that meet the economic, social, environmental, and cultural needs of the present as well as the future. However, are our cities ready for this technological shift? Can we put expansion behind us and focus on sustainability and re-generatability? Are the technologies themselves enough to create real impact and an overall healthier planet?

Acknowledging the smart cities phenomenon not as a future goal but as an active part of our present, this book critically examines the strategies, business models, practices, tools, and actions needed to ensure that smart cities deliver the solutions they promise.

This book aims to highlight the gaps and the transparency issues in the clinical research and trials processes and how there is a lack of information flowing back to researchers and patients involved in those trials.

Lack of data transparency is an underlying theme within the clinical research world and causes issues of corruption, fraud, errors and a problem of reproducibility. Blockchain can prove to be a method to ensure a much more joined up and integrated approach to data sharing and improving patient outcomes. Surveys undertaken by creditable organisations in the healthcare industry are analysed in this book that show strong support for using blockchain technology regarding strengthening data security, interoperability and a range of beneficial use cases where mostly all respondents of the surveys believe blockchain will be important for the future of the healthcare industry.

Another aspect considered in the book is the coming surge of healthcare wearables using Internet of Things (IoT) and the prediction that the current capacity of centralised networks will not cope with the demands of data storage. The benefits are great for clinical research, but will add more pressure to the transparency of clinical trials and how this is managed unless a secure mechanism like, blockchain is used. 

This book provides a holistic perspective on Digital Twin (DT) technologies, and presents cutting-edge research in the field. It assesses the opportunities that DT can offer for smart cities, and covers the requirements for ensuring secure, safe and sustainable smart cities. Further, the book demonstrates that DT and its benefits with regard to:  

hold significant potential for applications in smart cities, by employing a wide range of sensory and data-acquisition systems in various parts of the urban infrastructure. 

The contributing authors reveal how and why DT technologies that are used for monitoring, visualising, diagnosing and predicting in real-time are vital to cities’ sustainability and efficiency. The concepts outlined in the book represents a city together with all of its infrastructure elements, which communicate with each other in a complex manner. Moreover, securing Internet of Things (IoT) which is one of the key enablers of DT’s is discussed in details and from various perspectives. 

This publication highlights the fast-moving technological advancement and infiltration of Artificial Intelligence into society. Concepts of evolution of society through interconnectivity are explored, together with how the fusion of human and technological interaction leading to Augmented Humanity is fast becoming more than just an endemic phase, but a cultural phase shift to digital societies. It aims to balance both the positive progressive outlooks such developments bring with potential issues that may stem from innovation of this kind, such as the invasive procedures of bio hacking or ethical connotations concerning the usage of digital twins. This publication will also give the reader a good level of understanding on fundamental cyber defence principles, interactions with Critical National Infrastructure (CNI) and the Command, Control, Communications and Intelligence (C3I) decision-making framework. A detailed view of the cyber-attack landscape will be garnered; touching on thetactics, techniques and procedures used, red and blue teaming initiatives, cyber resilience and the protection of larger scale systems. The integration of AI, smart societies, the human-centric approach and Augmented Humanity is discernible in the exponential growth, collection and use of [big] data; concepts woven throughout the diversity of topics covered in this publication; which also discusses the privacy and transparency of data ownership, and the potential dangers of exploitation through social media. As humans are become ever more interconnected, with the prolificacy of smart wearable devices and wearable body area networks, the availability of and abundance of user data and metadata derived from individuals has grown exponentially. The notion of data ownership, privacy and situational awareness are now at the forefront in this new age.

This book provides a valuable reference for digital forensics practitioners and cyber security experts operating in various fields of law enforcement, incident response and commerce. It is also aimed at researchers seeking to obtain a more profound knowledge of Digital Forensics and Cybercrime. Furthermore, the book is an exceptional advanced text for PhD and Master degree programmes in Digital Forensics and Cyber Security. Each chapter of this book is written by an internationally-renowned expert who has extensive experience in law enforcement, industry and academia.

The increasing popularity in the use of IoT devices for criminal activities means that there is a maturing discipline and industry around IoT forensics. As technology becomes cheaper and easier to deploy in an increased number of discrete, everyday objects, scope for the automated creation of personalised digital footprints becomes greater. Devices which are presently included within the Internet of Things (IoT) umbrella have a massive potential to enable and shape the way that humans interact and achieve objectives. These also forge a trail of data that can be used to triangulate and identify individuals and their actions. As such, interest and developments in autonomous vehicles, unmanned drones and ‘smart’ home appliances are creating unprecedented opportunities for the research communities to investigate the production and evaluation of evidence through the discipline of digital forensics.