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This volume analyses the rising inclusion of new and emerging technologies in business. It measures the effectiveness and challenges of these tools in various aspects of strategy and decision making within small and big businesses. Businesses in the competitive market must be agile and innovative to drive growth and the inclusion of technology and reliance on data science for decision-making is fraught with its own set of challenges. Through various case studies and analysis of trends, the book explores diverse dimensions of decision science from a micro as well as macro perspective. It examines the function, management and implementation of new technologies, like big data and AI in business operations and infrastructure highlighting their practical applications as well as the barriers to their adoption. This book will be useful to scholars and researchers of management studies, business management, financial management, business economics, international business, finance and marketing, development studies and economics. It will also interest policymakers and practitioners in the field.
This volume analyses the rising inclusion of new and emerging technologies in business. It measures the effectiveness and challenges of these tools in various aspects of strategy and decision making within small and big businesses.
This book discusses an emerging field of decision science that focuses on business processes and systems used to extract knowledge from large volumes of data to provide significant insights for crucial decisions in critical situations. It presents studies employing computing techniques like machine learning, which explore decision-making for cross-platforms that contain heterogeneous data associated with complex assets, leadership, and team coordination. It also reveals the advantages of using decision sciences with management-oriented problems. The book includes a selection of the best papers presented at the 2nd International Conference on Decision Science and Management (ICDSM 2019), held at Hunan International Economics University, China, on 20–21 September 2019.
This volume explores the dynamic nature of emerging markets, which constitute a major share of global GDP, with a focus on the opportunities for growth and the challenges for businesses in meeting the needs of a diverse set of consumers. With the objective to ensure sustainable growth, there is a need for multinationals belonging to and working in emerging economies to learn best practices and continuously evolve. To conduct business in both urban and rural areas, marketing and promotions are potent tools when applied correctly to portray the right brand image. The book studies recent trends and developments in promotional practices as business strategy, sustainability, and innovation across businesses, including retail, textile, and digital technology. It highlights the path that managers should take in order to better understand the potential of distinct market segments and take marketing managerial decisions accordingly. This book will be useful to scholars and researchers of marketing, management studies, business management, financial management, business economics, international business, finance, digital technologies, development studies, and economics. It will also interest policymakers and practitioners in the field.
"This book offers a deep look into the latest research, tools, implementations, frameworks, architectures, and case studies within the field of Business Intelligence Management"--Provided by publisher.
This volume presents a comprehensive analysis of the business, financial and economic aspects of emerging markets. Using case studies from India, Turkey, Bangladesh and Africa, it discusses themes such as megaprojects, infrastructure and sustainability; cross-border mergers and acquisitions; a new paradigm for educational markets; exports competitiveness; work engagement in service sector; mobile banking and crowdfunding; and venture capital flow into emerging economies, to focus on the trade, foreign investment, financial, and social progress of these economies. The chapters review the current state, learnings, changing scenarios, business practices, and financial and economic perspectives across emerging markets while examining progression, challenges and the way forward. With its rigorous approach and topical content, this book will be useful to scholars and researchers of management studies, business management, financial management, business economics, international business, finance and marketing, development studies and economics. It will also interest policymakers and practitioners in the field.
About the Book: A comprehensive book plan on "Data Science and Business Intelligence for Corporate Decision-Making" with 15 chapters, each with several sections: Chapter 1: Introduction to Data Science and Business Intelligence Chapter 2: Foundations of Data Science Chapter 3: Business Intelligence Tools and Technologies Chapter 4: Data Visualization for Decision-Making Chapter 5: Machine Learning for Business Intelligence Chapter 6: Big Data Analytics Chapter 7: Data Ethics and Governance Chapter 8: Data-Driven Decision-Making Process Chapter 9: Business Intelligence in Marketing Chapter 10: Financial Analytics and Business Intelligence Chapter 11: Operational Excellence through Data Analytics Chapter 12: Human Resources and People Analytics Chapter 13: Case Studies in Data-Driven Decision-Making Chapter 14: Future Trends in Data Science and Business Intelligence Chapter 15: Implementing Data Science Strategies in Corporations Each chapter dives deep into the concepts, methods, and applications of data science and business intelligence, providing practical insights, real-world examples, and case studies for corporate decision-making processes.
Information system design and development is of interest and importance to researchers and practitioners, as advances in this discipline impact a number of other related fields and help to guide future research. Theoretical and Practical Advances in Information Systems Development: Emerging Trends and Approaches contains fundamental concepts, emerging theories, and practical applications in database management, systems analysis and design, and software engineering. Contributions present critical findings in information resources management that inform and advance the field.
Decision science offers powerful insights and techniques that help people make better decisions to improve business and society. This new volume brings together the peer-reviewed papers that have been chosen as the "best of the best" by the field's leading organization, the Decision Sciences Institute. These papers, authored by respected decision science researchers and academics from around the world, will be presented at DSI's 45th Annual Meeting in Tampa, Florida in November 2014. The first book of papers ever assembled by DSI, this volume describes recent methods and approaches in the decision sciences, with a special focus on how accelerating technological innovation is driving change in the ways organizations and individuals make decisions. These papers offer actionable insights for decision-makers of all kinds, in business, public policy, non-profit organizations, and beyond. They also point to new research directions for academic researchers in decision science worldwide.