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Data Analytics and Big Data
The main purpose of this book is to investigate, explore and describe approaches and methods to facilitate data understanding through analytics solutions based on its principles, concepts and applications. But analyzing data is also about involving the use of software. For this, and in order to cover some aspect of data analytics, this book uses software (Excel, SPSS, Python, etc) which can help readers to better understand the analytics process in simple terms and supporting useful methods in its application.
Digital Literacy and Socio-Cultural Acceptance of ICT in Developing Countries
This book discusses the role of human computer interaction (HCI) design in fostering digital literacy and promoting socio-cultural acceptance and usage of the latest ICT innovations in developing countries. The book presents techniques, theories, case studies, and methodologies in HCI design approaches that have been used to foster digital literacy, break the socio-cultural barriers to ICT adoption, and promote the widespread usage of the latest innovations in the health, agriculture, economic, education and social sectors in developing countries. The authors provide insights on how crossing disciplines in HCI such as usability design, user centered design, user experience, anticipated us...
Modelling and Development of Intelligent Systems
This book constitutes the refereed proceedings of the 8th International Conference on Modelling and Development of Intelligent Systems, MDIS 2022, held in Sibiu, Romania, during October 28–30, 2022. The 21 papers included in this book were carefully reviewed and selected from 48 submissions. They were organized in the following topical sections as follows: intelligent systems for decision support; machine learning; mathematical models for development of intelligent systems; and modelling and optimization of dynamic systems.
Crowdsourcing and Knowledge Management in Contemporary Business Environments
In an era of an economy based on knowledge and Web 2.0 technology, knowledge is the foundation for improving the decision-making processes and relations between people both in and outside of an organization. Providing new and unique sources of knowledge outside organizations enables innovation and shapes competitive advantage. Crowdsourcing and Knowledge Management in Contemporary Business Environments is a collection of innovative research on the methods and applications of crowdsourcing in collaboration, idea implementation, and organizational development. Highlighting a range of topics including data analytics, crowd computing, and open innovation, this book is ideally designed for business managers, business professionals, business and social researchers, graduate-level students, and academicians seeking current research on the mechanisms of knowledge management in crowdsourcing.
Managing Diversity, Innovation, and Infrastructure in Digital Business
In the digital age, consumers have morphed from passive receivers of marketing messages to active suppliers of information about product through various digital media, creating a need for businesses to effectively manage a more diverse and creative range of consumers. Managing Diversity, Innovation, and Infrastructure in Digital Business is a collection of innovative research on new avenues in overall digital infrastructures, digital modern business infrastructures, business automation, and financial aspects of modern businesses. Featuring research on topics such as electronic word-of-mouth strategies, social media marketing, and digital communication, this book is ideally designed for business professionals, managers, and undergraduate and postgraduate business students seeking current research on business in the digital environment.
Research Anthology on Big Data Analytics, Architectures, and Applications
Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.
Internet Economics: Models, Mechanisms and Management
The internet represents a rapidly evolving set of technologies which is central to the development of a modern economy. Internet Economics: Models, Mechanisms and Management integrates knowledge about internet service design with economic modelling principles (pricing, cost and service models). Chapters highlight specific applications of the internet such as service provisioning, cloud computing, commerce, business security, network externalities, social media and more recent developments such as the Internet of Things (IoT), the industrial internet, data analytics and the use of big data to bring value to commercial ventures. Therefore, readers will have a conceptual and practical framework for understanding the economics of internet infrastructure and service delivery.
Big Data Analytics in HIV/AIDS Research
With the advent of new technologies in big data science, the study of medical problems has made significant progress. Connecting medical studies and computational methods is crucial for the advancement of the medical industry. Big Data Analytics in HIV/AIDS Research provides emerging research on the development and implementation of computational techniques in big data analysis for biological and medical practices. While highlighting topics such as deep learning, management software, and molecular modeling, this publication explores the various applications of data analysis in clinical decision making. This book is a vital resource for medical practitioners, nurses, scientists, researchers, and students seeking current research on the connections between data analytics in the field of medicine.
Role of Regional Development Agencies in Entrepreneurial and Rural Development: Emerging Research and Opportunities
Investors are instrumental in the development of new businesses and can be a key component of future success. However, for business ventures outside the general urban environment, communicating with potential sponsors may be difficult. Role of Regional Development Agencies in Entrepreneurial and Rural Development: Emerging Research and Opportunities explores the theoretical and practical aspects of regional economic development and applications within entrepreneurship and provides guidance on how to establish the agencies and implement sustainable development. Featuring coverage on a broad range of topics such as leadership management, organization culture, and socio-economic systems, this book is ideally designed for entrepreneurs, developers, small and medium enterprises, business associations, bankers, financial organizations, researchers, business professionals, academicians, and students.
Managerial Perspectives on Intelligent Big Data Analytics
Big data, analytics, and artificial intelligence are revolutionizing work, management, and lifestyles and are becoming disruptive technologies for healthcare, e-commerce, and web services. However, many fundamental, technological, and managerial issues for developing and applying intelligent big data analytics in these fields have yet to be addressed. Managerial Perspectives on Intelligent Big Data Analytics is a collection of innovative research that discusses the integration and application of artificial intelligence, business intelligence, digital transformation, and intelligent big data analytics from a perspective of computing, service, and management. While highlighting topics including e-commerce, machine learning, and fuzzy logic, this book is ideally designed for students, government officials, data scientists, managers, consultants, analysts, IT specialists, academicians, researchers, and industry professionals in fields that include big data, artificial intelligence, computing, and commerce.
