This book highlights the importance of talent management practices in recruiting, developing and retaining talented professionals in the digital and IT&C industry. It unpacks the distinctive characteristics of 'digital talent' represented by a wide spectrum of professionals and managers with digital abilities, competencies and skills who add considerable value to organizations and industries worldwide. It shows that despite digital talent's increased variety and significant contribution to digital transformation processes, much of the existing human resource and talent management research and practice fail to account for their distinctiveness. This book calls for the need for a new kind of talent management, referred to as 'digital talent management' (DTM) that is applicable to digital talent and decidedly integrates digital talent's distinctive characteristics into talent management strategies and practices in a human-centered manner. Drawing upon existing, yet disconnected, streams of literature and empirical evidence derived from the information technology and communication (IT&C) industry, this book defines digital talent and delineates strategies to attract, develop and retain them for an uncertain and renewed future.

Enterprises have to react instantly to changing market conditions and disturbances that occur during execution of value creation processes. Depending upon the processes' context, the goal is to significantly reduce lead times, reaction times, and time-to-market, among others. The vision of a real-time enterprise (RTE), which is able to sense and analyze events from internal and external sources, and perform adequate (re-)actions, has been envisaged by manufacturing enterprises. Daniel Metz presents a framework based on EDA and CEP towards the realization of RTE in manufacturing. The framework closes the vertical integration gap, and further, establishes feedback in (near) real-time among enterprise levels. As such, the framework provides a holistic and closed-loop control of (manufacturing) processes, and encompasses results and insights from management, engineering, and computer science. The framework has been implemented for a small and medium sized foundry in Germany. The developed control approach has led to a significant increase in (manufacturing) processes' efficiency (i.e., performance, quality, and availability).