About this SpringerBriefs series
(https://www.springer.com/series/16790)
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 the service value co-creation processes. The series SpringerBriefs in Service Science is devoted to publications that offer new perspectives on service research by showcasing service transformations across various sectors of the fast-growing digital economy. The research findings presented will help organizations address their 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 range of content from professional to academic.
Typical publications can be:
- 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
- An in-depth case study
- A presentation of core concepts that students, researchers, and practitioners must understand to make independent contributions
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 SpringerBriefs in Service Science, please contact Robin Qiu at robinqiu@psu.edu.
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Robin Qiu
Professor
Penn State (The Pennsylvania State University)
robinqiu@psu.edu------------------------------