The rapidly growing fields of Big Data, AI and Machine Learning, together with emerging analytic theories and technologies, have allowed us to gain comprehensive insights into both social and transactional interactions in today's digital and service-driven economy. This series of SpringerBriefs in Service Science is devoted to publications that offer new perspectives on digitally empowered service research by showcasing service and digital transformations across various sectors of the fast-growing digital economy around the world. The research findings presented will help organizations address their business and/or service challenges in today and tomorrow's service-oriented and digital economy.
SpringerBriefs present concise summaries of cutting-edge research and practical applications across a wide spectrum of fields. Featuring compact volumes of 50 to 125 pages, the series covers a variety of contents, including but not limited to:
· A timely report of state-of-the art methods and tools
· A bridge between new research results, as published in journal articles
· A snapshot of a hot or emerging topic such as GPT in Service Applications
· An in-depth case study in transforming the digital economy
· A presentation of core concepts or theories that students, researchers, and practitioners must understand to make independent contributions to digital economy
SpringerBriefs are characterized by fast, global electronic dissemination, standard publishing contracts, standardized manuscript preparation and formatting guidelines, and expedited production schedules.
If you are interested in contributing to this series of SpringerBriefs in Service Science, please contact Robin Qiu at robinqiu@psu.edu.
A list of current publications is available at https://www.springer.com/series/16790
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Robin
GQiurobinqiu@psu.edu------------------------------