Harnessing the Power of Digital Transformation in Service Research
The digital revolution is transforming how services are designed, delivered, and experienced. Big Data, Artificial Intelligence (AI), and Machine Learning (ML) are unlocking a wealth of insights into customer interactions – both social and transactional. This exciting new era demands fresh perspectives on service research.
The SpringerBriefs in Service Science Series addresses this critical need by showcasing cutting-edge research or state-of-the-art applications on service and digital transformations across diverse sectors. Our concise publications (50-125 pages) thus welcome a variety of contents, including but not limited to:
- State-of-the-Art Methods and Tools: practical knowledge about the latest advancements driving the service-oriented digital economy.
- Bridging the Gap: cutting-edge research findings from academic journals into actionable insights for real-world applications.
- Emerging Trends: hot topics like generative AI in service applications and their potential impact on your field.
- In-Depth Case Studies: real-world examples of successful digital transformation in the service-focused fields.
- Core Concepts and Theories: the essential knowledge needed to make independent contributions to the ever-evolving digital economy.
Benefits of Publishing with SpringerBriefs in Service Science:
- Fast and Global Reach: Your research will be disseminated electronically worldwide, maximizing its impact.
- Streamlined Publishing Process: Benefit from standardized contracts, manuscript preparation guidelines, and expedited production schedules.
Contribute to the Series:
If you are interested in contributing to this series of SpringerBriefs in Service Science, please contact Robin Qiu at robinqiu@psu.edu.
Explore Current Publications:
Discover the latest research shaping the service science landscape at
www.springer.com/series/16790
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Robin
GQiurobinqiu@psu.edu------------------------------