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
https://www.springer.com/series/16790. Click or tap if you trust this link." data-linkindex="10">www.springer.com/series/16790
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Robin Qiu
Professor
Penn State
United States
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