Social Media Analytics and Practical Applications: The Change to the Competition Landscape (Emerging Operations Research Methodologies and Applications)

Social Media Analytics and Practical Applications: The Change to the Competition Landscape provides a framework that allows you to understand and analyze the impact of social media in various industries. It illustrates how social media analytics can help firms build transformational strategies and cope with the challenges of social media technology.

By focusing on the relationship between social media and other technology models, such as wisdom of crowds, healthcare, fintech and blockchain, machine learning methods, and 5G, this book is able to provide applications used to understand and analyze the impact of social media. Various industries are called out and illustrate how social media analytics can help firms build transformational strategies and at the same time cope with the challenges that are part of the landscape. The book discusses how social media is a driving force in shaping consumer behavior and spurring innovations by embracing and directly engaging with consumers on social media platforms. By closely reflecting on emerging practices, the book shows how to take advantage of recent advancements and how business operations are being revolutionized.

Social Media Analytics and Practical Applications is written for academicians and professionals involved in social media and social media analytics.

Subodha Kumar is the Paul R. Anderson Distinguished Chair Professor of Marketing and Supply Chain Management and the Founding Director of the Center for Business Analytics and Disruptive Technologies at Temple University’s Fox School of Business. He has secondary appointments in Information Systems and Statistical Science Departments. He also serves as the Ph.D. Concentration Advisor for Operations and Supply Chain Management. He is a board member for many organizations. He has been awarded a Changjiang Scholars Chair Professorship by the China’s Ministry of Education. He is also a Visiting Professor at the Indian School of Business (ISB). He has served on the faculty of University of Washington and Texas A&M University. He has been the keynote speaker and track/cluster chairs at leading conferences. He was elected to become a Production and Operations Management Society (POMS) Fellow in 2019. He has received numerous other research and teaching awards. He has published more than 150 papers in reputed journals and refereed conferences. He was ranked #1 worldwide for publishing in Information Systems Research. In addition, he has authored a book, book chapters, Harvard Business School cases, and Ivey Business School cases. He also holds a robotics patent. He is routinely cited in different media outlets including NBC, CBS, Fox, Business Week, and New York Post. He is the Deputy Editor of Production and Operations Management Journal and the Founding Executive Editor of Management and Business Review (MBR). He also serves on other editorial boards. He was the conference chair for POMS 2018 and DSI 2018, and has co-chaired several other conferences.

Liangfei Qiu is the PricewaterhouseCoopers Associate Professor at Warrington College of Business, University of Florida. He also serves as the Ph.D. coordinator for the Department of Information Systems and Operations Management. His current research focuses on social technology (e.g., social networks, social media, and prediction markets), platform technology (e.g., sharing/gig economy, e-commerce platforms, and healthcare analytics), telecommunications technology, and Fintech. His research has appeared in premier academic journals and leading media outlets, such as Bloomberg Businessweek, Conversation, and ScienceDaily. He received the INFORMS Information Systems Society Sandy Slaughter Early Career Award and Association for Information Systems (AIS) Early Career Award in 2019. He is currently an Associate Editor at MIS Quarterly, a Senior Editor at Production and Operations Management, and an Associate Editor at Decision Support Systems.