Today's customer-oriented operational philosophy has forced organizations to face the challenge of transforming into digital businesses to meet growing customer demand. The reality is that power is shifting from institutions to customers, so it's up to providers to master both customer experience and digital operational excellence. However, despite this turn toward digitalization, many businesses struggle to manage their technology base strategically. Disruptive Innovation and Emerging Technologies for Business Excellence in the Service Sector provides an in-depth exploration of options that can assist organizations in developing a consistent and coherent view of various drivers in order to shape their markets and operations as well as how disruptive innovations and emerging technologies can contribute to businesses now and in the future. Covering a wide range of topics such as sustainable transportation and customer service experiences, it is ideal for industry professionals, researchers, academicians, instructors, decision makers, and students.

This book  (proceedings of ISMS 2022)   is intended to be used as a reference by students and researchers who collect scientific and technical contributions with respect to models, tools, technologies and applications in the field of information systems and management science. This textbook shows how to exploit information systems in a technology-rich management field. The book introduces concepts, principles, methods, and procedures that will be valuable to students and scholars in thinking about existing organization systems, proposing new systems, and working with management professionals in implementing new information systems.

This two-volume set (CCIS 1762-1763) constitutes the refereed proceedings of the 4th International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2022, held in Bhopal, India, in December 2022. The 64 papers presented in this two-volume set were thoroughly reviewed and selected from 399 submissions. The papers are organized according to the following topical sections: machine learning and computational intelligence; data sciences; image processing and computer vision; network and cyber security.

This two-volume set (CCIS 1762-1763) constitutes the refereed proceedings of the 4th International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2022, held in Bhopal, India, in December 2022. The 64 papers presented in this two-volume set were thoroughly reviewed and selected from 399 submissions. The papers are organized according to the following topical sections: machine learning and computational intelligence; data sciences; image processing and computer vision; network and cyber security.

This multidisciplinary book delves into information systems' concepts, principles, methods and procedures and their innovative applications in management science and other domains, including business, industry, health care and education. It will be valuable to students, researchers, academicians, developers, policymakers and managers thriving to improve their information and management systems, develop new strategies to solve complex problems and implement novel techniques to utilise the massive data best. This book of Information Systems and Management Science (proceedings of ISMS 2021) is intended to be used as a reference by scholars, scientists and practitioners who collect scientific and technical contributions concerning models, tools, technologies and applications in the field of information systems and management science. This book shows how to exploit information systems in a technology-rich management field.

In this moving and insightful work, Deepak Singh chronicles his downward mobility as an immigrant to a small town in Virginia. Armed with an MBA from India, Singh can get only a minimum-wage job in an electronics store. Every day he confronts unfamiliar American mores, from strange idioms to deeply entrenched racism. Telling stories through the unique lens of an initially credulous outsider who is "fresh off the plane," Singh learns about the struggles of his colleagues: Ron, a middle-aged African-American man trying to keep his life intact despite health concerns; Jackie, a young African-American woman diligently attending school after work; and Cindy, whose matter-of-fact attitude helps Deepak adapt to his job and his new life. How May I Help You? is an incisive take on life in the United States and a reminder that the stories of low-wage employees can bring candor and humanity to debates about work, race, and immigration.