A Knowledge Management Platform for Supporting Digital Business Ecosystems based on P2P and SOA technologies

Pappas, Nikos; Kazasis, Fotis G.; Anestis, George; Gioldasis, Nektarios; Christodoulakis, Stavros

doi:10.1109/dest.2007.371970

Cited by 11 publications

(6 citation statements)

References 6 publications

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“…Currently, there is limited knowledge on standardisation of innovation management processes in DBEs. Thus, recommendations from extant studies include design of platforms to facilitate knowledge transfer (Pappas, Kazasis, Anestis, Gioldasis, & Christodoulakis, 2007), and use of social media to aid stakeholders' involvement in knowledge management activities (Presenza, Micera, Splendiani, & Del Chiappa, 2014) are considered important additions to knowledge.…”

Section: Business Issues Themementioning

confidence: 99%

Digital business ecosystem: Literature review and a framework for future research

Senyo

Liu

Effah

2019

International Journal of Information Management

297

174

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Digital innovation has radically changed how organisations collaborate and compete. Coupled with this change are new collaborative value creation networks such as digital business ecosystems (DBEs). DBE is a socio-technical network of individuals, organisations and technologies that collectively co-create value. Since the emergence of DBE over a decade ago, there have been limited attempts to critically review and synthesise the body of knowledge presented over the years. Thus, the purpose of this paper is to fill this gap in DBE research by: (1) developing a comprehensive framework that synthesises and provides an overall direction of DBE research; (2) pointing out gaps in DBE literature; and (3) providing future research directions. To address this purpose, we systematically analysed 101 research articles on DBE. The findings provide insightful revelations to address some limitations in the current DBE research. As such, this study makes important contributions and serves as a useful resource for future DBE studies and practice.

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Section: Business Issues Themementioning

confidence: 99%

Digital business ecosystem: Literature review and a framework for future research

Senyo

Liu

Effah

2019

International Journal of Information Management

297

174

View full text Add to dashboard Cite

show abstract

“…[18] introduces a platform for digital business ecosystems based on knowledge models for enabling useful recommendations to SMEs participating in the ecosystem. Additionally, [19] presents an approach to build digital business ecosystems based on request-based virtual organisations, where SMEs try to increase the competitiveness and their chance to react to market changes by forming virtual organisations with complementary SMEs.…”

Section: Discussion and Related Workmentioning

confidence: 99%

A Diversity Analysis of the Impact of an Interoperability Tool to a Business Ecosystem

Marín

Lopardo

Mehandjiev

2011

2011 IEEE 20th International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises

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In this paper we present how by analysing the diversity of a system we can estimate the impact of an enterprise interoperability tool to a business ecosystem. We report experimental results on using a multi-agent system to simulate a business ecosystem in which we introduce the local effect of Commius, a low-cost interoperability tool for SMEs, into business collaborative interactions. The importance of the results derives from the egocentric attention commonly paid to the collaboration boost brought to the company using this sort of tools without considering the side effects it could bring to the network, where more than one company can also use it. When we apply our results to a cluster of companies, experiments indicate that an interoperability indeed adds dynamism to the network, yet it does not improve the network's capability of resilience.

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“…The energy domain consists of multiple agents and can be considered as an ecosystem in which a community of organisms interacts with each other and the surrounding inorganic environment. This biological definition of an ecosystem is first introduced in [136] and is later adopted in the business domain [137][138][139][140][141]. A business ecosystem is a network of players that are bound together through collective activities to produce an entity that offers value for customers and meet their requirements.…”

Section: Limitations and Future Workmentioning

confidence: 99%

The Application of Ontologies in Multi-Agent Systems in the Energy Sector: A Scoping Review

Schultz

Christensen

et al. 2019

Energies

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Multi-agent systems are well-known for their expressiveness to explore interactions and knowledge representation in complex systems. Multi-agent systems have been applied in the energy domain since the 1990s. As more applications of multi-agent systems in the energy domain for advanced functions, the interoperability raises challenge raises to an increasing requirement for data and information exchange between systems. Therefore, the application of ontology in multi-agent systems needs to be emphasized and a systematic approach for the application needs to be developed. This study aims to investigate literature on the application of ontology in multi-agent systems within the energy domain and map the key concepts underpinning these research areas. A scoping review of the existing literature on ontology for multi-agent systems in the energy domain is conducted. This paper presents an overview of the application of multi-agent systems (MAS) and ontologies in the energy domain with five aspects of the definition of agent and MAS; MAS applied in the energy domain, defined ontologies in the energy domain, MAS design methodology, and architectures, and the application of ontology in the MAS development. Furthermore, this paper provides a recommendation list for the ontology-driven multi-agent system development with the aspects of 1) ontology development process in MAS design, 2) detail design process and realization of ontology-driven MAS development, 3) open standard implementation and adoption, 4) inter-domain MAS development, and 5) agent listing approach.

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A Knowledge Management Platform for Supporting Digital Business Ecosystems based on P2P and SOA technologies

Cited by 11 publications

References 6 publications

Digital business ecosystem: Literature review and a framework for future research

Digital business ecosystem: Literature review and a framework for future research

A Diversity Analysis of the Impact of an Interoperability Tool to a Business Ecosystem

The Application of Ontologies in Multi-Agent Systems in the Energy Sector: A Scoping Review

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