An internationally distributed ubiquitous living lab innovation platform for digital ecosystem research

Author(s):  
Tingan Tang ◽  
Zhenyu Wu ◽  
Kimmo Karhu ◽  
Matti Hämäläinen ◽  
Yang Ji
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chiara Luisa Cantù ◽  
Daniel Schepis ◽  
Roberto Minunno ◽  
Greg Morrison

Purpose This paper aims to investigate the role of relational governance in innovation platform development, specifically investigating the context of living labs. Design/methodology/approach Two longitudinal case studies are presented, derived from auto-ethnographic narratives, qualitative interviews and secondary documents, which cover the critical stages in the development of each living lab. Findings Empirical insights demonstrate the relevance of coordination activities based on joint planning and activities to support innovation platform development across different stages. The governance role of research actors as platform activators is also identified. Practical implications The paper offers a useful perspective for identifying collective goals between living lab actors and aligning joint activities across different stages of living lab development. Social implications The case provides insights into the challenges and opportunities for collaboration between academia, industry and users to support sustainable construction innovation. Originality/value A relational governance mode is identified, going beyond top down or bottom up approaches, which contributes a new understanding of how collective goals align within a relational space.


2021 ◽  
Vol 13 (20) ◽  
pp. 11458
Author(s):  
Yanzhang Gu ◽  
Longying Hu ◽  
Hongjin Zhang ◽  
Chenxuan Hou

The innovation ecosystem term has increasingly been attracting the interest of scholars and practitioners for fifteen years. Contrary to the flourishing landscape, knowledge in this field is criticized as being fragmented. While past reviews revealed the conceptual and theoretical connections between innovation ecosystem and other related concepts, there is still a lack of comprehensive appreciation of the intellectual structure of state-of-the-art innovation ecosystem studies, hindering future research in this domain. To fill this void, this study utilized a systematic literature review approach combining bibliographic coupling and content analysis methods. Drawing on 136 studies reflecting the core and latest knowledge of innovation ecosystem literature, this study identifies five streams of the current innovation ecosystem research (i.e., technology innovation, platform innovation ecosystem, regional development, innovation ecosystem conceptualization and theorization, and entrepreneurship and innovation). Suggestions for future research are distilled via systematic analysis and discussion of these streams. Contributions of this study lie in decoding the intellectual structure of current innovation ecosystem research and offering targeted recommendations for future research.


NEJM Catalyst ◽  
2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Don Mordecai ◽  
Trina Histon ◽  
Estee Neuwirth ◽  
W. Scott Heisler ◽  
Aubrey Kraft ◽  
...  

2020 ◽  
Author(s):  
James McDonagh ◽  
William Swope ◽  
Richard L. Anderson ◽  
Michael Johnston ◽  
David J. Bray

Digitization offers significant opportunities for the formulated product industry to transform the way it works and develop new methods of business. R&D is one area of operation that is challenging to take advantage of these technologies due to its high level of domain specialisation and creativity but the benefits could be significant. Recent developments of base level technologies such as artificial intelligence (AI)/machine learning (ML), robotics and high performance computing (HPC), to name a few, present disruptive and transformative technologies which could offer new insights, discovery methods and enhanced chemical control when combined in a digital ecosystem of connectivity, distributive services and decentralisation. At the fundamental level, research in these technologies has shown that new physical and chemical insights can be gained, which in turn can augment experimental R&D approaches through physics-based chemical simulation, data driven models and hybrid approaches. In all of these cases, high quality data is required to build and validate models in addition to the skills and expertise to exploit such methods. In this article we give an overview of some of the digital technology demonstrators we have developed for formulated product R&D. We discuss the challenges in building and deploying these demonstrators.<br>


2020 ◽  
Vol 1 (4) ◽  
pp. 126-134
Author(s):  
L. S. ZVYAGIN ◽  

The article considers some aspects of the development of the digital economy – the part of economic activity that relies on the use of information technologies. The digital economy, its volume and complexity of structure are rapidly growing. Its direct impact on economic processes in any country is obvious. It is emphasized that in the era of the digital economy, the main resource is accurate, reliable, truthful and timely information.


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