If you're seeking to master business analytics, case studies offer invaluable help: they expose you to the entire decision-making process, helping you practice an active role in both performing analysis and using its output to recommend optimal decisions. Now, drawing on his extensive teaching and consulting experience, Prof. Matthew Drake has created the ideal new casebook for all analytics students and practitioners. Drake, author of the widely-praised Applied Business Analytics Casebook, now presents a collection of up-to-date cases that are longer and more detailed than those typically presented in undergraduate texts, but concise and focused enough to be taught in a single classroom session. Organized by analytical technique, Advances in Business, Operations, and Product Analytics covers: Descriptive analytics: descriptive statistics, sampling/inferential statistics, statistical quality control, and probability Predictive analytics: forecasting, demand managing, data and text mining Prescriptive analytics: optimization-based modeling, simulation-based modeling, decision analysis, and multi-criteria decision making Industry-specific analytics: HR and managerial analytics, financial analytics, and healthcare/life sciences In addition to practitioners, this casebook will be especially valuable to students and faculty in undergraduate and masters' courses that cover topics in business analytics, and courses applying analytics to specific industries such as healthcare, or specific business functions such as marketing.

Operations management is a tool by which companies can effectively meet customers’ needs using the least amount of resources necessary. With the emergence of sensors and smart metering, big data is becoming an intrinsic part of modern operations management. Applied Big Data Analytics in Operations Management enumerates the challenges and creative solutions and tools to apply when using big data in operations management. Outlining revolutionary concepts and applications that help businesses predict customer behavior along with applications of artificial neural networks, predictive analytics, and opinion mining on business management, this comprehensive publication is ideal for IT professionals, software engineers, business professionals, managers, and students of management.

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.

Aims to present state-of-the-art studies in the application of forecasting methodologies to such areas as sales, marketing, and strategic decision making. The topics in this title include: sales and marketing, forecasting, new product forecasting, judgmentally based forecasting, the application of surveys to forecasting, and more.

Businesses consistently work on new projects, products, and workflows to remain competitive and successful in the modern business environment. To remain zealous, businesses must employ the most effective methods and tools in human resources, project management, and overall business plan execution as competitors work to succeed as well. Advanced Methodologies and Technologies in Business Operations and Management provides emerging research on business tools such as employee engagement, payout policies, and financial investing to promote operational success. While highlighting the challenges facing modern organizations, readers will learn how corporate social responsibility and utilizing artificial intelligence improve a company's culture and management. This book is an ideal resource for executives and managers, researchers, accountants, and financial investors seeking current research on business operations and management.

Businesses consistently work on new projects, products, and workflows to remain competitive and successful in the modern business environment. To remain zealous, businesses must employ the most effective methods and tools in human resources, project management, and overall business plan execution as competitors work to succeed as well. Advanced Methodologies and Technologies in Business Operations and Management provides emerging research on business tools such as employee engagement, payout policies, and financial investing to promote operational success. While highlighting the challenges facing modern organizations, readers will learn how corporate social responsibility and utilizing artificial intelligence improve a company’s culture and management. This book is an ideal resource for executives and managers, researchers, accountants, and financial investors seeking current research on business operations and management.

We stand at the precipice of a technological revolution; the entrepreneurial landscape is undergoing a metamorphosis. In the academic corridors of today, a pressing challenge emerges - the need to comprehend and dissect the profound transformations underway in the world of entrepreneurship. The fusion of emerging technologies with the age-old spirit of entrepreneurship is creating seismic shifts, ushering in new possibilities that beg exploration. Improving Entrepreneurial Processes Through Advanced AI emerges as a beacon of insight and innovation in this new entrepreneurial realm of possibility. This book embarks on a captivating journey, tailored to the discerning minds of PhD students, university educators, independent researchers, and scholars in related fields, guiding them through the intricacies of technology integration and the transformation of entrepreneurial processes. As technology continues to advance at an unprecedented pace, traditional paradigms are being upended, leaving researchers grappling with complex questions. The emergence of Artificial Intelligence (AI) as a game-changer in entrepreneurship introduces a host of intricate issues and uncertainties. Amidst this sea of change, the fundamental challenge lies in understanding how these advancing AI systems can address core entrepreneurial challenges and open new horizons of opportunity in the era of digital transformation.