Shahriar Akter – författare

This state-of-the-art Handbook provides an overview of the role of big data analytics in various areas of business and commerce, including accounting, finance, marketing, human resources, operations management, fashion retailing, information systems, and social media. It provides innovative ways of overcoming the challenges of big data research and proposes new directions for further research using descriptive, diagnostic, predictive, and prescriptive analytics.With contributions from leading academics and practitioners, the Handbook analyses how big data analytics can be used in different sectors, including detecting credit fraud in the financial sector, identifying potential diseases in health care, and increasing customer loyalty in the telecommunication sector. Chapters explore the use of artificial intelligence in accounting, the construction of successful data science ecosystems using the public cloud, and transformational models of personal data protection in the digital era. The Handbook also discusses the difficulties of adopting a data science platform and how the public cloud can aid companies in overcoming these challenges.Exploring how industries rely on predictive analytics to improve their decision-making, this Handbook will be essential reading for students and scholars in business analytics, economics, information systems, innovation and technology, and research methods. It will also benefit data analysts, economists, human resource managers, marketers, neuroscientists, and social science researchers.

This state-of-the-art Handbook provides an overview of the role of big data analytics in various areas of business and commerce, including accounting, finance, marketing, human resources, operations management, fashion retailing, information systems, and social media. It provides innovative ways of overcoming the challenges of big data research and proposes new directions for further research using descriptive, diagnostic, predictive, and prescriptive analytics.

With contributions from leading academics and practitioners, the Handbook analyses how big data analytics can be used in different sectors, including detecting credit fraud in the financial sector, identifying potential diseases in health care, and increasing customer loyalty in the telecommunication sector. Chapters explore the use of artificial intelligence in accounting, the construction of successful data science ecosystems using the public cloud, and transformational models of personal data protection in the digital era. The Handbook also discusses the difficulties of adopting a data science platform and how the public cloud can aid companies in overcoming these challenges.

Exploring how industries rely on predictive analytics to improve their decision-making, this Handbook will be essential reading for students and scholars in business analytics, economics, information systems, innovation and technology, and research methods. It will also benefit data analysts, economists, human resource managers, marketers, neuroscientists, and social science researchers.

This two-volume work explores how advanced, technologically orientated business research aims to foster organizational and industry evolution, along with sustainable progress of enduring societal implications. As businesses increasingly embrace transformative technologies, their profound and far-reaching societal consequences necessitate a cross-disciplinary scientific approach coupled with an artistic and imaginative lens. Against this backdrop, authors in this book navigate the intricate web of impacts on employment and leadership, business model innovation, advanced data driven decision making, digital transformation, data ecosystems and analytics, AI-led e-commerce and branding, and virtual reality. The topics cover an array of geographic regions and industries, including professional services, education, fashion, sports, and hospitality & tourism.  Business technology theory and science are ultimately geared towards practicable application, and are contextualized by sustainability and socioeconomic advancement.  This first volume investigates the strategic, managerial and marketing impacts of advanced business technologies, while volume two explores their role in industry and policy, elucidating also the art and fiction of their societal impact.

This two-volume work explores how advanced, technologically orientated business research aims to foster organizational and industry evolution, along with sustainable progress of enduring societal implications. As businesses increasingly embrace transformative technologies, their profound and far-reaching societal consequences necessitate a cross-disciplinary scientific approach coupled with an artistic and imaginative lens. Against this backdrop, authors in this book navigate the intricate web of impacts on employment and leadership, business model innovation, advanced data driven decision making, digital transformation, data ecosystems and analytics, AI-led e-commerce and branding, and virtual reality. The topics cover an array of geographic regions and industries, including professional services, education, fashion, sports, and hospitality & tourism.  Business technology theory and science are ultimately geared towards practicable application, and are contextualized by sustainability and socioeconomic advancement.  This first volume investigates the strategic, managerial and marketing impacts of advanced business technologies, while volume two explores their role in industry and policy, elucidating also the art and fiction of their societal impact.

This two-volume work explores how advanced, technologically orientated business research aims to foster organizational and industry evolution, along with sustainable progress of enduring societal implications. As businesses increasingly embrace transformative technologies, their profound and far-reaching societal consequences necessitate a cross-disciplinary scientific approach coupled with an artistic and imaginative lens. Against this backdrop, authors in this book navigate the intricate web of impacts on employment and leadership, business model innovation, advanced data driven decision making, digital transformation, data ecosystems and analytics, AI-led e-commerce and branding, and virtual reality. The topics cover an array of geographic regions and industries, including professional services, education, fashion, sports, and hospitality & tourism.  Business technology theory and science are ultimately geared towards practicable application, and are contextualized by sustainability and socioeconomic advancement.  This second volume explores the role of advanced business technologies in industry and policy, elucidating also the art and fiction of their societal impact, while the first volume investigates their strategic, managerial and marketing impacts.