For the IESS conferences, Service Science can be reduced neither to one discipline (IT, marketing, management for instance) nor to an improvement of a particular discipline. Instead, Service Science designates a real science, whose knowledge enables transdisciplinary services which are compulsory for the progression of the Society, viable, resilient, sustainable, inclusive, contributory, and responsible. Thus, the special topic of this conference IESS 2.3 is “Service Science to ground Sustainable Development Goals (SDGs) » to highlight the capacity of Service Science to develop intelligence to face crucial holistic situations.

It requires research to discover new intrinsic knowledge to expand its body of knowledge. Thus, IESS 2.3 supports tracks to explore domains of Service Science and, consequently, contribute to this expansion.

It fosters the emergence of new scientific approaches in various disciplines such that these transdisciplinary services can emerge in the reality of the Society in a  responsible way, notably sustainable, resilient and inclusive. Service dominant logic is a good example for marketing, Complex / Generative economy created by Brian Arthur, also for the economy. Thus, IESS 2.3 will also support tracks dedicated to the emergence/consolidation of such knowledge, thanks to the complementary lens of Service Science.

The transdisciplinary nature of service science is essential and quite challenging of course.  “As responsible entities learn, service innovation roadmaps can help individuals and the collective make more conscious, explicit investment choices, versus unconscious implicit choices.  The tools of complexity economics (Brian Arthur) are also an important direction to explore investment alternatives and alternative future possibilities.” (Jim Spohrer, member of the IESS 2.3 Advisory committee)

Research topics

Contributions are solicited on topics related to one or several topics of the following list, but not limited to them.

Contributions should be grounded in one or several contexts, and be open to multi-disciplinary approaches.

  • Open Topics for Exploration in Service Science
    • Design Science Research in Services   
    • Business transformation/expansion through Service Science
    • Sustainability and Resilience in services
    • Governance of service systems
    • Governance by means of services
    • Multi-disciplinary and multi-organizational services
    • Emerging Science Research in Services
  • Service Design and Innovation:
    • Bringing service design and design thinking into innovation processes
    • Integrating service design and technology approaches to service innovation
    • Service design and innovation in technology-enabled services
    • Service design and innovation in complex value networks and ecosystems
    • Embedding service design and innovation in the creation of new product systems
    • Involving customers and other actors in service design and innovation
    • Research in service design and innovation
  • Service Business Models:
    • Innovation of new service business models driven by ICT
    • Data/Service-driven Business Model Innovation
    • Organizational transformation triggered by service innovation
    • Methods and tools for business model innovation
    • Socio-economic changes triggered by services
    • Design of digital services and digital service systems
  • Digitalization of Services:
    • Application of machine learning and AI to address service challenges
    • Social media analytics for service business and service systems
    • Data/Service-driven methods to manage and measure customer experience in services
    • Big data technology to improve well-being through transformative service
    • Advanced analytics in smart service systems
    • Design and development of Smart Service platforms and processes
    • Services for flexible and scalable data management and integration
    • Real-time data integration and processing as services
    • Responsible Semantic web technologies for Smart Services
    • Marketplaces for offering Smart Services
    • Services for sensor data processing and integration
    • Self-organizing and autonomous systems as services