Data Analytics and AI
How Well Do Executives Trust Their Intuition
Data Analytics for Smart Cities
Data Analytics in Project Management
By Jennifer Priestley, Robert McGrath
May 04, 2021
How can we recruit out of your program? We have a project – how do we reach out to your students? If we do research together who owns it? We have employees who need to "upskill" in analytics – can you help me with that? How much does all of this cost? Managers and executives are increasingly asking...
Edited By Mounir Kehal, Shahira El Alfy
January 13, 2021
Innovation based in data analytics is a contemporary approach to developing empirically supported advances that encourage entrepreneurial activity inspired by novel marketing inferences. Data Analytics in Marketing, Entrepreneurship, and Innovation covers techniques, processes, models, tools, and ...
Edited By Jay Liebowitz
August 07, 2020
Analytics and artificial intelligence (AI), what are they good for? The bandwagon keeps answering, absolutely everything! Analytics and artificial intelligence have captured the attention of everyone from top executives to the person in the street. While these disciplines have a relatively long ...
Edited By Iwona Otola, Marlena Grabowska
July 30, 2020
Since the beginning of time, running a business has involved using logic by which the business operates. This logic is called the business model in management science, which increasingly is focusing on issues surrounding business models. Research trends related to business models include value ...
Edited By Joanna Paliszkiewicz
July 09, 2020
This book is a wonderful collection of chapters that posits how managers need to cope in the Big Data era. It highlights many of the emerging developments in technologies, applications, and trends related to management’s needs in this Big Data era. —Dr. Jay Liebowitz, Harrisburg University of ...
By Jay Liebowitz
August 02, 2019
This book examines how to develop the main traits that are necessary to become an “informed intuitant”. Case studies and examples of successful “informed intuitants” are a major component of the book. “Intuitant” is someone who has the intuitive awareness to be successful. “Informed intuitant” ...
Edited By Günter Wallner
June 28, 2019
The last decade has witnessed the rise of big data in game development as the increasing proliferation of Internet-enabled gaming devices has made it easier than ever before to collect large amounts of player-related data. At the same time, the emergence of new business models and the ...
By Susan A Vowels, Katherine Leaming Goldberg
June 28, 2019
The need for analytics skills is a source of the burgeoning growth in the number of analytics and decision science programs in higher education developed to feed the need for capable employees in this area. The very size and continuing growth of this need means that there is still space for new ...
Edited By Subhashish Samaddar, Satish Nargundkar
February 28, 2019
If you are a manager who receives the results of any data analyst’s work to help with your decision-making, this book is for you. Anyone playing a role in the field of analytics can benefit from this book as well. In the two decades the editors of this book spent teaching and consulting in the ...
Edited By Jay Liebowitz, Yolande Chan, Tracy Jenkin, Dylan Spicker, Joanna Paliszkiewicz, Fabio Babiloni
December 19, 2018
In this age of Big Data and analytics, knowledge gained through experiential learning and intuition may be taking a back seat to analytics. However, the use of intuition should not be underestimated and should play an important role in the decision process. How Well Do Executives Trust Their ...
Edited By Amir Alavi, William G. Buttlar
October 31, 2018
The development of smart cities is one of the most important challenges over the next few decades. Governments and companies are leveraging billions of dollars in public and private funds for smart cities. Next generation smart cities are heavily dependent on distributed smart sensing systems and ...
Edited By Seweryn Spalek
October 24, 2018
This book aims to help the reader better understand the importance of data analysis in project management. Moreover, it provides guidance by showing tools, methods, techniques and lessons learned on how to better utilize the data gathered from the projects. First and foremost, insight into the ...