Proliferation of Bring Your Own Device (BYOD) has instigated a widespread change, fast outpacing the security strategies deployed by organizations. The influx of these devices has created information security challeng...
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ISBN:
(数字)9783031868016
ISBN:
(纸本)9783031868009;9783031868030
Proliferation of Bring Your Own Device (BYOD) has instigated a widespread change, fast outpacing the security strategies deployed by organizations. The influx of these devices has created information security challenges within organizations, further exacerbated with employees’ inconsistent adherence with BYOD security policy. To prevent information security breaches, compliance with BYOD security policy and procedures is vital. This book aims to investigate the factors that determine employees' BYOD security policy compliance by using mixed methods approach. Security policy compliance factors, BYOD practices and security risks were identified following a systematic review approach. Building on Organizational Control Theory, Security Culture and Social Cognitive Theory, a research framework positing a set of plausible factors determining BYOD security policy compliance was developed. Next, with a purposive sample of eight information security experts from selected public sector organizations, interviews and BYOD risk assessments analysis were performed to furnish in-depth insights into BYOD risks, its impact on organizations and recommend control measures to overcome them. This led to the suggestion of four control measures to mitigate critical BYOD security risks such as Security Training and Awareness (SETA), policy, top management commitment and technical countermeasures. The control measures were mapped into the research framework to be tested in the following quantitative phase. The proposed research framework was tested using survey results from 346 employees of three Critical National information Infrastructure (CNII) agencies. Using Partial Least Squares – Structural Equation Modelling (PLS-SEM), the framework's validity and reliability were evaluated, and hypotheses were tested. Findings show that perceived mandatoriness, self-efficacy and psychological ownership are influential in predicting employees’ BYOD security policy compliance. Specification of secur
This book discusses the latest developments in computing techniques that power smart energy and sustainable solutions. Over the last few years, artificial intelligence (AI) has been more deeply embedded in our lives, ...
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ISBN:
(数字)9783031904783
ISBN:
(纸本)9783031904776;9783031904806
This book discusses the latest developments in computing techniques that power smart energy and sustainable solutions. Over the last few years, artificial intelligence (AI) has been more deeply embedded in our lives, revolutionizing industries and communication. Intelligent computing models are now transforming traditional energy applications in this digital age through smart automation, optimization, and adaptation. The book addresses major facets of intelligent computing and communication technologies, such as intelligent data analysis, predictive modeling, optimization, neural networks, AI, machine learning, deep learning, and the Internet of Things (IoT). All these technologies are discussed in practical applications, e.g., smart cities and smart industries, their transformative possibilities.
A strategy is a blueprint of actions taken by managers to achieve the organization’s mission and vision and other long-term goals. In long term, strategy determines the success of an organization. While evaluating st...
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ISBN:
(数字)9783031823695
ISBN:
(纸本)9783031823688;9783031823718
A strategy is a blueprint of actions taken by managers to achieve the organization’s mission and vision and other long-term goals. In long term, strategy determines the success of an organization. While evaluating strategy, a company is essentially asking itself, “Where we are heading to and how we will achieve our goals?” Strategy Analytics is a relatively new field in conjunction with Strategic management and Business Intelligence. Generally, Strategic management field deals with the enhancement of the decision-making capabilities of managers. Typically, such decision-making processes are heavily dependent upon various internal and external reports. Managers need to develop their strategies using clear strategy processes supported by the increasing availability of data. This situation calls for a different approach to strategy, such as integration with analytics, as the science of extracting value from data and structuring complex problems. The term Strategic Analytics implies decisions are made, resources are invested, and plans for data and analytics are created based on the needs and critical questions a business is facing. The need for analytical solutions in today’s business environment is crucial because they allow users to think strategically about how an organization builds its core competencies and creates value. This not only informs the entire process, saves a lot of time, effort, and money, but also leads to value creation.
This book will be one reference source to academic fraternity, management practitioners, business analysts and research students who are interesting in Strategic Analytics domain and using it in their research/practice work. In addition, the proposed book will be serving as state-of-art documentation of Strategy Analytics, its present role around organizational outcomes and outlines the need for greater integration in organization strategy and analytics for better strategic decision processes to measure corporate performance and bus
This book delves into the intersection of generative artificial intelligence (AI) and the financial Technology (FinTech) industry. This book provides a comprehensive exploration of how Generative AI, a cutting-ed...
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ISBN:
(数字)9783031769573
ISBN:
(纸本)9783031769566;9783031769597
This book delves into the intersection of generative artificial intelligence (AI) and the financial Technology (FinTech) industry. This book provides a comprehensive exploration of how Generative AI, a cutting-edge subset of artificial intelligence, is fundamentally altering the landscape of finance. It meticulously unravels the intricate ways in which advanced algorithms, powered by generative AI, are transforming traditional financial processes, decision-making, risk assessment, portfolio management, fraud detection, and more. Through a detailed analysis of theoretical concepts and practical applications, we illustrate how generative AI techniques, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), are empowering FinTech applications to generate synthetic financial data, optimize trading strategies, and enhance customer experiences. Readers will gain a deep understanding of the potential of generative AI to create realistic financial scenarios, model market behaviour, and simulate various economic conditions for better planning and strategizing.
Moreover, this book offers insights into ethical considerations and potential challenges associated with the use of generative AI in the FinTech domain, emphasizing the importance of responsible and accountable deployment. Additionally, Generative AI in FinTech serves as a practical guide for professionals, researchers, and enthusiasts seeking to implement generative AI solutions within the financial sector. It presents case studies and real-world examples that demonstrate the effectiveness and impact of generative AI in various FinTech applications.
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