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In the field of strategic management and business intelligence, a formidable challenge is present—conventional decision-making processes, heavily reliant on internal and external reports, struggle to meet the demands of this data-driven era. As organizations grapple with the increasing influx of data, the imperative for a strategic shift becomes undeniably apparent. Using Strategy Analytics for Business Value Creation and Competitive Advantage helps to guide leaders in extracting value, structuring complex problems, and crafting robust business strategies. Scholars and industry experts alike will find within the pages of this comprehensive guide a roadmap to navigate the intersection of org...
Strategic analytics is a relatively new field in conjunction with strategic management and business intelligence. Generally, the 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, including integration with analytics, as the science of extracting value from data and structuring complex problems. Using Strategy Analytics to Measure Corporate Performance and...
Machine learning approaches have great potential in increasing the accuracy of cardiovascular risk prediction and avoiding unnecessary treatment. The application of machine learning techniques may improve heart failure outcomes and management, including cost savings by improving existing diagnostic and treatment support systems. Additionally, artificial intelligence technologies can assist physicians in making better clinical decisions, enabling early detection of subclinical organ dysfunction, and improving the quality and efficiency of healthcare delivery. Further study on these innovative technologies is required in order to appropriately utilize the technology in healthcare. Leveraging A...
As the spectrum of the internet of things (IoT) expands, artificial intelligence (AI)-assisted agile IoT is the way forward for sustainable finance. The depth of agile IoT has changed the financial market, and it may quickly evolve as a powerful tool in the future. The convergence of AI and IoT techniques will significantly extract valuable financial information and offer better services to customers. Some of the potential benefits of AI-assisted agile IoT for FinTech include prompt customer support, in-door client navigation, on-site queue management, improved customer experience, security and authenticity, wireless payments, increased business efficiency, self-checkout services, and busine...
Autism spectrum disorder (ASD) is known as a neuro-disorder in which a person may face problems in interaction and communication with people, amongst other challenges. As per medical experts, ASD can be diagnosed at any stage or age but is often noticeable within the first two years of life. If caught early enough, therapies and services can be provided at this early stage instead of waiting until it is too late. ASD occurrences appear to have increased over the last couple of years leading to the need for more research in the field. It is crucial to provide researchers and clinicians with the most up-to-date information on the clinical features, etiopathogenesis, and therapeutic strategies ...
Effective e-customer relationship management is imperative for increasing customer satisfaction, online sales, website patronage, loyalty, and retention. To understand exactly how this business strategy can be applied to enhance business operations, further study on its various benefits, opportunities, and challenges is required. Building a Brand Image Through Electronic Customer Relationship Management develops electronic customer relationship management strategies for achieving customer satisfaction and explains the concepts and uses of electronic customer relationship management to meet strategic objectives, improve customer loyalty, and build brand image. Covering topics such as marketing, brand equity, customer loyalty, and social media, this reference work is ideal for business owners, managers, entrepreneurs, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.
Emotional impulses heavily influence the behavior of customers. Sensory marketing establishes an emotional connection between the company and the customers, thus yielding a positive response towards the brand. It has a strong influence not only on the perceptions but also on the choices of the customers. It assists the organizations in delivering a unique multisensory experience and capitalizes on new marketing opportunities. Therefore, businesses should carefully formulate sensory marketing strategies revolving around the details of offered product mix, prospective modes of communication, as well as point-of-sale actions. Promoting Consumer Engagement Through Emotional Branding and Sensory ...
Digital transformation is spreading throughout every industry all over the world. Acquiring new technologies to use within business practices increases productivity and strengthens the connection between businesses and their consumers. The digital transformation process and automation promotion must be intensified and explored globally so that economies can grow and develop, providing a better quality of life for their populations. Implementing Automation Initiatives in Companies to Create Better-Connected Experiences explores the most current and decisive topics for business and academia. It evaluates the ways in which automation and connectivity help the decision-making process of companies and the learning process for students and researchers. Covering topics such as consumer behavior, omnichannel retailing, and metaverse applications in business, this premier reference source is an excellent resource for business executives and managers, IT managers, marketers, agencies, government officials, students and faculty of higher education, researchers, and academia.
This book covers the applications of computational intelligence techniques in business systems and advocates how these techniques are useful in modern business operations. The book redefines the computational intelligence foundations, the three pillars - neural networks, evolutionary computation, and fuzzy systems. It also discusses emerging areas such as swarm intelligence, artificial immune systems (AIS), support vector machines, rough sets, and chaotic systems. The other areas have also been demystified in the book to strengthen the range of computational intelligence techniques such as expert systems, knowledge-based systems, and genetic algorithms. Therefore, this book will redefine the...