The Global South is recognized as one of the fastest growing regions in terms of Internet population as well as the region that accounts for the majority of Internet users. However, It cannot be overlooked that with increasing connectivity to and dependence on Internet-based platforms and services, so too is the potential increased for information and cybersecurity threats and attacks. Further, it has long been established that micro, small, and medium enterprises (MSMEs) play a key role in national economies, serving as important drivers of economic growth in Global South economies. Yet, little is known about information security, cybersecurity and cybercrime issues and strategies contextualized to these developing economies and MSMEs. Cybercrime and Cybersecurity in the Global South: Concepts, Strategies and Frameworks for Greater Resilience examines the prevalence, nature, trends and impacts of cyber-related incidents on Global South economies. It further explores cybersecurity challenges, potential threats, and risks likely faced by MSMEs and governments of the Global South. A major thrust of this book is to offer tools, techniques, and legislative frameworks that can improve the information, data, and cybersecurity posture of Global South governments and MSMEs. It also provides evidence-based best practices and strategies relevant to the business community and general Information Communication Technology (ICT) users in combating and preventing cyber-related incidents. Also examined in this book are case studies and experiences of the Global South economies that can be used to enhance students' learning experience. Another important feature of this book is that it outlines a research agenda to advance the scholarship of information and cybersecurity in the Global South. Features: Cybercrime in the Caribbean Privacy and security management Cybersecurity compliance behaviour Developing solutions for managing cybersecurity risks Designing an effective cybersecurity programme in the organization for improved resilience The cybersecurity capability maturity model for sustainable security advantage Cyber hygiene practices for MSMEs A cybercrime classification ontology

Although the terms "data mining" and "knowledge discovery and data mining" (KDDM) are sometimes used interchangeably, data mining is actually just one step in the KDDM process. Data mining is the process of extracting useful information from data, while KDDM is the coordinated process of understanding the business and mining the data in order to identify previously unknown patterns. Knowledge Discovery Process and Methods to Enhance Organizational Performance explains the knowledge discovery and data mining (KDDM) process in a manner that makes it easy for readers to implement. Sharing the insights of international KDDM experts, it details powerful strategies, models, and techniques for managing the full cycle of knowledge discovery projects. The book supplies a process-centric view of how to implement successful data mining projects through the use of the KDDM process. It discusses the implications of data mining including security, privacy, ethical and legal considerations. Provides an introduction to KDDM, including the various models adopted in academia and industry Details critical success factors for KDDM projects as well as the impact of poor quality data or inaccessibility to data on KDDM projects Proposes the use of hybrid approaches that couple data mining with other analytic techniques (e.g., data envelopment analysis, cluster analysis, and neural networks) to derive greater value and utility Demonstrates the applicability of the KDDM process beyond analytics Shares experiences of implementing and applying various stages of the KDDM process in organizations The book includes case study examples of KDDM applications in business and government. After reading this book, you will understand the critical success factors required to develop robust data mining objectives that are in alignment with your organization’s strategic business objectives.

Based on expert practitioners' contributions from across the globe including Brazil, Jamaica, Malaysia, Pakistan, Thailand, the United Kingdom, and the United States, Strategic Project Management: Contemporary Issues and Strategies for Developing Economies offers modern experiences, best practices, and tools for individuals and teams working in projects spanning diverse environments in developing economies. The book answers the questions: what are the issues and challenges experienced in "developing" countries and how can effective project management practices address them? It then presents strategies and sustainable solutions. The book covers the foundations of project management, highlighting particular strategies that may resonate with organizations across the globe, particularly developing economies. It includes dialogue on project success criteria and performance evaluation techniques, stakeholder management, program and portfolio management, managing knowledge in projects and case studies across industries such as ICT, education and law. In addition, the book showcases: Diverse perspectives and experiences in the effective management of projects from the developing economies The importance of project maturity through the adoption of sound strategic project management principles Application of project management standards and practices in specific domains Emerging tools and techniques that can enhance the management of different types of projects Opportunities for future research and collaborations The contributors share ideas, insights, and experiences for all forms of business projects with a core ICT artifact or supported by ICT to deliver the specific artifact, product, service, or result. The chapters discuss the range of issues found in managing different types of projects across many domains and countries and underline the similarities and nuances in managing projects with strategies that resonate in developing economies. The book, in a nutshell, gives you tried-and-true advice from experts that you can put to immediate use.

Although the terms "data mining" and "knowledge discovery and data mining" (KDDM) are sometimes used interchangeably, data mining is actually just one step in the KDDM process. Data mining is the process of extracting useful information from data, while KDDM is the coordinated process of understanding the business and mining the data in order to identify previously unknown patterns. Knowledge Discovery Process and Methods to Enhance Organizational Performance explains the knowledge discovery and data mining (KDDM) process in a manner that makes it easy for readers to implement. Sharing the insights of international KDDM experts, it details powerful strategies, models, and techniques for managing the full cycle of knowledge discovery projects. The book supplies a process-centric view of how to implement successful data mining projects through the use of the KDDM process. It discusses the implications of data mining including security, privacy, ethical and legal considerations. Provides an introduction to KDDM, including the various models adopted in academia and industry Details critical success factors for KDDM projects as well as the impact of poor quality data or inaccessibility to data on KDDM projects Proposes the use of hybrid approaches that couple data mining with other analytic techniques (e.g., data envelopment analysis, cluster analysis, and neural networks) to derive greater value and utility Demonstrates the applicability of the KDDM process beyond analytics Shares experiences of implementing and applying various stages of the KDDM process in organizations The book includes case study examples of KDDM applications in business and government. After reading this book, you will understand the critical success factors required to develop robust data mining objectives that are in alignment with your organization's strategic business objectives.