Industry Commons: an ecosystem approach to horizontal enablers for sustainable cross-domain industrial innovation (a positioning paper)

Magas, Michela; Kiritsis, Dimitris

doi:10.1080/00207543.2021.1989514

Cited by 17 publications

(13 citation statements)

References 29 publications

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“…A top-level ontology contains a set of formally defined vocabularies that are commonly used in different domains, which serve as a common foundation for lower-level domain-specific ontologies and application ontologies. Some recent projects and initiatives, such as the Industrial Ontologies Foundry (IOF) (Kulvatunyou et al, 2018) and the Onto-Commons project (Magas and Kiritsis, 2021), are spending efforts to unify and standardize existing top-level ontologies and domain-level ontologies. The aim is to create an open and principles-based ontology ecosystem thus to promote ontology applications in industry.…”

Section: Ontology Engineering and Semantic Modellingmentioning

confidence: 99%

A semantic-driven tradespace framework to accelerate aircraft manufacturing system design

Zheng

Arista

et al. 2022

J Intell Manuf

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During the design phase of an aircraft manufacturing system, different industrial scenarios need to be evaluated according to key performance indicators to achieve the optimal system performance. It is a highly complex process involving multidisciplinary stakeholders, various digital tools and protocols. To address the digital discontinuity challenge during this process, this paper proposes a tradespace framework based on semantic technology and Model-Based Systems Engineering. It aims at functionality integration of requirement management, architecture definition, manufacturing system design, solution verification and visualization. An application ontology is developed to integrate assembly system domain knowledge, industrial requirements and system architecture model information. The proposed framework is implemented in a case study to support the fuselage orbital joint process design, which is part of the aircraft Final Assembly Line. A toolchain is presented to support the implementation, which consists of a set of enabling software corresponding to the functional modules of the framework. Different manufacturing system architectures are first designed by industrial system engineers supported by the application ontology semantic-driven tradespace framework stored in a graph database. They are then analyzed through Discrete Event Simulations and 3D simulations. The simulation results are presented through a web-based portal to show the key performance values of each architecture. This study serves as a part of the proofof-concept of the recently proposed Cognitive Digital Twin concept.

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Section: Ontology Engineering and Semantic Modellingmentioning

confidence: 99%

A semantic-driven tradespace framework to accelerate aircraft manufacturing system design

Zheng

Arista

et al. 2022

J Intell Manuf

Self Cite

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“…, 2020); government alliances can significantly improve innovation performance of clean energy technological start-ups (Doblinger et al. , 2019); Help in liberalising trade and innovation in Internet based trade (Magas and Kiritsis, 2022) and firms can use networks such as industry associations for achieving common objectives such as technical standards setting (Ranganathan et al. , 2018).…”

Section: Analysis Of Alliance Literature On Tccm Themesmentioning

confidence: 99%

“…While alliances have improved competitiveness of firms within, these can be also used by governments and not for profit organisations for improving their non-commercial outcomes with alliance network or ecosystem partners. A service ecosystem developed through alliances between commercial and not-for-profit organisations can help improve social innovation (Babu et al, 2020); government alliances can significantly improve innovation performance of clean energy technological start-ups (Doblinger et al, 2019); Help in liberalising trade and innovation in Internet based trade (Magas and Kiritsis, 2022) and firms can use networks such as industry associations for achieving common objectives such as technical standards setting (Ranganathan et al, 2018). Similarly, governments can use networks and ecosystems for industrial clusters in developing economies (Scheel and Maranto, 2017) or for implementing low carbon policies in green technology (Zhang et al, 2019).…”

Section: Contextmentioning

confidence: 99%

“…processes involved in designing innovation ecosystems (Rabelo and Bernus, 2015); management (e.g. Cusumano and Gawer, 2002) Governance (relational and contractual) and coordination in alliances (Pomegbe et al, 2021), and cross domain industrial innovation (Magas and Kiritsis, 2022). Ecosystems have also been studied across industries such as digital economy (Mishra, 2017); IT industry (Gueguen, 2009), and transition of supply into ecosystem over varying stages of value creation and capture (Letaifa, 2014).…”

Section: Innovationmentioning

confidence: 99%

“…Connectivity within a network is also important. Using bridges between firms within a network by building interoperability can improve connectivity and innovation outcomes (Luk a c et al, 2017;Magas and Kiritsis, 2022). Actors who are better connected within a network are able to improve their own and network effectiveness, specially for actors close to customers (O'Connor and Cook, 2020).…”

Section: Jsma 162mentioning

confidence: 99%

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Dyadic, network and ecosystem alliances: systematic literature review and research agenda

Krishna

2022

JSMA

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PurposeLiterature on strategic alliances (SAs) is large, diverse and growing. It needs synthesis and analysis for application and further research. Authors have also underlined the need for studies covering differences in structuring, situational application and management of alliances. This systematic literature review aims to cover dyadic, network and ecosystem (DNE) alliances with theory, context, characteristics and methodology (TCCM) methodology covering the life cycle stages of an alliance (pre-formation, formation and management) to uncover insights which inform practice and guide further research on this important subject.Design/methodology/approachThis paper follows systematic literature review (SLR) methodology for research design and article selection and TCCM methodology for analysis. It also analyses the literature on DNE alliances using a nine-box matrix with DNE alliance forming one axis and three alliance lifecycle stages of pre-formation (alliance objectives), formation (alliance design and operationalisation) and post formation (alliance management) stages along the other axis.FindingsAnalysis indicates focus on individual firms and their own customer value proposition (CVP) in the dyadic and network alliances. Industries with fast-paced technological change benefit from loosely coupled alliances. Social context and social exchanges leading to collaboration and collective strengths mark network alliances, with a focus on knowledge creation and dissemination. Ecosystems focus on a collective CVP, which guides alliance behaviour. Ecosystem leadership guides this purpose through governance for sustained competitiveness. Negative consequences (dark side) of alliances can be mitigated by careful design, formation and management of DNE alliances.Research limitations/implicationsWhile literature has focussed on static view of alliances in their industry or social context, this literature review analyses alliances along the dyadic, network and ecosystem typology, thus providing a new lens to study alliances. The review also recognises that alliances evolve over their life-cycle stages and observes their progression through their lifecycle stages aids for fuller comprehension of their behaviour. Areas for future research in structuring, leadership, value co-creation and technological change set an agenda for future research.Practical implicationsDynamic managerial capabilities are drivers of alliance performance. The analysis using the nine-box matrix allows managers to better appreciate the options that exist and the consequences of their actions. Situating their alliance in the appropriate box can allow managers better plan, operationalise and manage their own alliances.Originality/valueThis systematic review compares and contrasts DNE alliances in extant literature and through their lifecycle stages. Insights from TCCM analysis and the nine-box matrix provide unique contribution to both theory and practice in this large and growing domain.

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An Approach to Model Lifecycle Management for Supporting Collaborative Ontology-Based Engineering

Oliva,

Arista,

Morales-Palma

et al. 2024

IFIP Advances in Information and Communication Technology

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Industry Commons: an ecosystem approach to horizontal enablers for sustainable cross-domain industrial innovation (a positioning paper)

Cited by 17 publications

References 29 publications

A semantic-driven tradespace framework to accelerate aircraft manufacturing system design

A semantic-driven tradespace framework to accelerate aircraft manufacturing system design

Dyadic, network and ecosystem alliances: systematic literature review and research agenda

An Approach to Model Lifecycle Management for Supporting Collaborative Ontology-Based Engineering

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