Springer Developments in Information & Knowledge Management for Business Applications: Volume 2: 376 (Studies in Systems, Decision and Control, 376)

Product Description Study on Wide-ranging Ethical Implications of Big Data Technology in a Digital Society: How Likely Are Data Accidents in the COVID-19.- Application of business rules mechanism in IT systems projects.- Data-as-a-Service vs. Information-as-a-Service: Critical Differences in Theory, Implementation, and Applicability of Two Growing Cloud Services.- Management and Measuring Customer Loyalty in Digital Marketplace - Analysis of KPIs and Influence Factors in CLTV.- Cost-effective solutions in Cloud Computing security.- Marketing Communication and Its Role in the Process of Creating Rational Awareness of Generation Z Representatives.- How is Data Visualization shaping our life? The application of analytics from Google Trends during the epidemic of COVID-19.- Analysis of the practices of financial intelligence units (FIUs) and other anti-money laundering agencies within EU.- Modern Approaches to Leadership Development - An Overview.- Crowdfunding and Uncertain Decision Problems - Applying Shannon Entropy to Support Entrepreneurs. From the Back Cover This book provides practical knowledge on different aspects of information and knowledge management in businesses. For enterprises/businesses those intend to remain prosperous and prolific, it is critically important to share best practices, ensure efficient information flow across company, capturing shared knowledge centrally, and communicate compliance rules, i.e. managing competently information in general. It enables faster and better decisions by helping employees' to build a strong expertise and by avoiding duplicated projects. Thus, the second volume of this series subline continues to explore different aspects of information and knowledge handling as well as doing business with information. We survey further the key aspects of managerial implications of the informational business. The novel methodologies and practices for the business information processing as well as application of mathematical models to the business analytics and efficient management are examined.