The document summarizes notes from a research symposium on ecosystems in management. It lists potential research questions within the area of ecosystem research, including how ecosystems emerge and evolve. It also outlines relevant theories for ecosystem research, such as network theories and complexity theory. The document discusses research designs and methodologies that could be applied to ecosystem research, including agent-based modeling, experiments, and action research. Finally, it provides references presented at the symposium related to ecosystem topics.
2. SYMPOSIUM FACILITATORS
Annabelle Gawer
University of Surrey
Laurent Scaringella
Rennes Business School
Yongjiang Shi
University of Cambridge
Agnieszka Radziwon
University of Aarhus
Ke Rong
Tsinghua University
@AgRadziwon
@AnnabelleGawer
r@tsinghua.edu.cn
ys@eng.cam.ac.uk
Laurent Scaringella
3. TO BE FOUND HERE*
1. Research Questions within ecosystem research
2. Theory/concepts inspiring for ecosystem research
3. Research design/methodology interesting for application in ecosystem research
4. Connections to other research fields
5. References to topics discussed during the Symposium
*The material collected in this document is an output of the discussions between all
symposium participants allocated to three roundtables.
4. How entrepreneur ecosystems borrow from other contexts business ecosystem?
How ecosystem emerge (Is it a natural organic growth)?
How do the systems evolve?
How could we address multilevel analysis?
How can policy enhance the emergence of efficient ecosystems?
How to address the complexity?
What is (business) ecosystem?
What's the difference between supply chain/strategic alliance?
RESEARCH QUESTIONS WITHIN ECOSYSTEM
RESEARCH
5. Who define ecosystem objectives, mission, vision?
How do we measure the success of the ecosystem?
Which facilitator tools could allow building more efficient ecosystems?
How supply base in a sustainable transition will evolve?
How can policy makers steer ecosystems with specific actions?
To what extent is the ecosystem perspective necessary/helpful?
How do firms adapt to digitalization (in the context of ecosystem digitalization)?
How do the A.I. solutions effect value chains/business networks?
RESEARCH QUESTIONS WITHIN ECOSYSTEM
RESEARCH
6. Network theories,
Regional studies, innovation systems
Complex adaptive systems
Complexity theory
Systems dynamics
Resilience concept (external shocks)
Niche construction (biology)
Sociotechnical systems
THEORY/CONCEPTS INSPIRING FOR ECOSYSTEM
RESEARCH
Evolutionary theory- multilevel
Cultural (co)evolution and multilevel
selection
Business models,
Public procurement for innovation
Circular economy,
Strategic networks,
Inter- organizational relationships,
Digital Infrastructure
7. Topic modeling, machine learning, quantitative data, clustering of documents, raising topics, R text
mining, bibliometrics, side space
AI to developed tools, Python, Iranotek based on R, clustering data semantically, Atlas -coding and then
applying quantitative methods
Agent based modeling, deepen the analysis
Experiments
Action research, sense making
Computational experiments, agent based modelling (focus on the knowledge flows), interventions and
complex systems (bad case scenarios),
Tools to scrap data from social media (API based, challenging after GDPR introduction)
RESEARCH DESIGN/METHODOLOGY
INTERESTING FOR APPLICATION IN ECOSYSTEM RESEARCH
9. 1. Topic Modelling in Management Research: Rendering new theory from textual data Timothy Hannigan, Richard
Franciscus Johannes Haans, Keyvan Vakili, Hovig Tchalian, Vern Glaser, Milo Wang, Sarah Kaplan and P. Devereaux
Jennings, https://journals.aom.org/doi/10.5465/annals.2017.0099
2. Text Mining in Organizational Research Vladimer B. Kobayashi, Stefan T. Mol, Hannah A. Berkers, Gabor Kismiho and
Deanne N. Den Hartog, https://journals.sagepub.com/doi/full/10.1177/1094428117722619
3. Text Classification for Organizational Researchers: A Tutorial Vladimer B. Kobayashi, Stefan T. Mol, Hannah A.
Berkers, Gabor Kismiho and Deanne N. Den Hartog https://journals.sagepub.com/doi/full/10.1177/1094428117719322
4. From bounded morality to consumer social responsibility: A transdisciplinary approach to socially responsible
consumption and its obstacles Schlaile, Michael P., Katharina Klein, and Wolfgang Böck.
https://link.springer.com/article/10.1007/s10551-016-3096-8
5. It’sa match! Simulating compatibility-based learning in a network of networks Schlaile, Michael P., Johannes
Zeman, and Matthias Mueller. https://read.qxmd.com/read/30613126/it-s-a-match-simulating-compatibility-based-learning-
in-a-network-of-networks
REFERENCES TO TOPICS DISCUSSED DURING THE
SYMPOSIUM
1) 0.00-0.10: Introduction to the PDW and overview of OI research categories
Welcome and brief introduction to OI. Brief presentation of OI research categories as developed in Bogers et al. (2017). Introduction of main challenges and objectives of this PDW.
2) 0.10-0.25: Pitches by facilitators
3-5 minutes “pitches” by facilitators to introduce themselves and propose their perspectives on the different ecosystem research types. They will highlight both theoretical perspectives that will be helpful for further developing the research category and possible empirical settings and potential data collection strategies.
• Annabelle – innovation ecosystems
• Yongjiang, Ke – business ecosystems
• Laurent, Agnieszka – entrepreneurial & knowledge ecosystems
2) 0.25-1.15: Roundtable discussion
The facilitators will move to their respective roundtables to moderate a discussion that is linked to the ecosystem research type that they represent. The first 10 – 15 minutes will be dedicated to the introduction of the participants and their research interests along with the session expectations. The expected outcome is an outline of theoretical perspectives and empirical settings that will help to further develop, and potentially also consolidate the ecosystem research.
4) 2.15-3.00: Plenary discussion and conclusion
We will end with a round of key outcomes across the roundtables, and discuss how these shape the future research opportunities within OI. On this basis, we will highlight some of the main insights and offer some concluding remarks when closing the PDW.