"This book will serve as an integrated e-business knowledge base for those who are interested in the advancement of e-business theory and practice through a variety of research methods including theoretical, experimental, case, and survey research methods"--Provided by publisher.

Investments in technologies such as the cloud, the internet of things (IoT), and robotic process automation are part of a strategy that helps organizations respond to changing customer demands and operational challenges. Emerging technologies are becoming one of the most remarkable elements to be considered in businesses, and e-businesses are no exception. With the expansion of e-businesses worldwide, the great population of e-business leaders tends to increase their knowledge to make future investments in key aspects and implications of their businesses. Thus, e-business leaders need to realize and seize existing opportunities for the advancement of their businesses. Driving Transformative Change in E-Business Through Applied Intelligence and Emerging Technologies contributes a comprehensive source to the existing knowledge and research in the field of e-business and emerging technologies and provides an understanding to readers about the current concepts, trends, technologies, and platforms in e-business. Covering topics such as competitive intelligence, enterprise resource planning systems, and online crowdfunding, this premier reference source is a comprehensive resource for business leaders and executives, IT managers, computer scientists, software engineers, economists, entrepreneurs, students, researchers, and academicians.

"This book offers insights into issues, challenges, and solutions related to the successful application and management aspects of electronic business, providing a comprehensive framework for researchers and practitioners in understanding the growing demand of e-business research"--Provided by publisher.

In the age of corporate responsibility, green technology and sustainability continue to grip the consciousness of businesses. However, the development of appropriate business-driven green computing applications requires an awareness of the best practices of the green agenda. Green Computing Strategies for Competitive Advantage and Business Sustainability provides emerging research on maintaining an eco-friendly environment regarding cloud computing and promoting reusability. While highlighting competitive advantages, power consumption, and project evaluation, readers will learn about various techniques for reducing energy consumption in cloud performance and information technology systems. This book is a vital resource for academics, researchers, students, professionals, and managers interested in novel trends in green computing applications and technology.

The workforce is considered to be the lifeblood within many major corporations. The ability of management to effectively utilize the knowledge and skills of their workforce is essential in ensuring the success of their corporations. Harnessing Human Capital Analytics for Competitive Advantage is a critical scholarly publication that explores the influence that workforce knowledge and skills can have on the performance of corporations and how such skills can be used to promote the success of corporations. Featuring coverage on a wide range of topics including employee happiness, mind genomics, and e-commerce adoption, this book is geared toward managers, professionals, and practitioners seeking current research on the advantage of utilizing workforce knowledge and skills to promote corporate success.

"This book examines related research in decision, management, and other behavioral sciences in order to exchange and collaborate on information among business, industry, and government, providing innovative theories and practices in operations research"--Provided by publisher.

Fashion has been steadily moving from the brick and mortar to the digital market. As such, it is increasingly vital to research new methods that will help businesses to grow and succeed in this new sphere. Advanced Fashion Technology and Operations Management is a pivotal reference source for the latest development management strategies, fashion marketing, international business, and fashion entrepreneurship. Featuring extensive coverage across a range of relevant perspectives and topics, such as online shopping behavior, digital fashion, and e-commerce, this book is ideally designed for professionals, entrepreneurs, students, and researchers.

In today’s global economy, social media and technological advances have changed the way businesses interact with their clientele. With new forms of communication and IT practices, companies seek innovative practices for maintaining their consumer loyalty. Customer Relationship Management Strategies in the Digital Era blends the literature from the fields of marketing and information technology in an effort to examine the effect that technological advances have on the interaction between companies and their customers Through chapters and case studies, this publication discusses the importance of achieving competitive advantage through implementing relationship marketing practices and becoming consumer-centric. This publication is an essential reference source for researchers, professionals, managers, and upper level students interested in understanding customer loyalty in a technology-focused society.

Technological developments have created new opportunities for contemporary businesses. Online stores can now utilize a specific branch of marketing in order to maximize the revenue of their business and increase website traffic. Driving Traffic and Customer Activity Through Affiliate Marketing is an essential reference publication highlighting the latest scholarly research on the method of increasing online business traffic and sales by external referrals. Featuring extensive coverage on a broad range of topics and perspectives such as networking, program management, and customer satisfaction, this book is ideally designed for academicians, practitioners, and students seeking current information on ways to increase customer activity.

The expansion of digital data has transformed various sectors of business such as healthcare, industrial manufacturing, and transportation. A new way of solving business problems has emerged through the use of machine learning techniques in conjunction with big data analytics. Deep Learning Innovations and Their Convergence With Big Data is a pivotal reference for the latest scholarly research on upcoming trends in data analytics and potential technologies that will facilitate insight in various domains of science, industry, business, and consumer applications. Featuring extensive coverage on a broad range of topics and perspectives such as deep neural network, domain adaptation modeling, and threat detection, this book is ideally designed for researchers, professionals, and students seeking current research on the latest trends in the field of deep learning techniques in big data analytics.