A Review of the Seven Modelling Approaches for Digital Ecosystem Architecture

Anwar, Memoona J.; Gill, Asif Qumer

doi:10.1109/cbi.2019.00018

Cited by 14 publications

(5 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Local and internally organisation-focused approaches to information-handling are challenged by the federated and connected DEi environment, where information-handling is not a straightforward undertaking [6,7]. This article addresses this important research and practical challenge and presents the DEi framework for operating, managing and governing information in DE.…”

Section: Research Background Motivation and Methodsmentioning

confidence: 99%

The digital ecosystem information framework: Insights from action design research

Gill

2022

Journal of Information Science

View full text Add to dashboard Cite

Digital ecosystem (DE) is a dynamic configuration of informational organisms, individual and organisational actors, which interact in the digitally networked and federated environment. Traditional approaches are challenged by the need for handling information in complex DE where information flows beyond the boundary of a single actor. This article presents the informational organism-interaction centric digital ecosystem information (DEi) framework for information operations, management, and governance. The DEi framework emerged based on the insights obtained through the application of well-known thematic network analysis and abstraction, reflection and learning techniques to 15 action design research projects across nine different industry partners in Australia. The DEi framework includes 27 topics that are organised into nine key knowledge and three focus areas. The DEi framework can be used by researchers and practitioners as a resource for designing digital information capabilities as appropriate to their context.

show abstract

Section: Research Background Motivation and Methodsmentioning

confidence: 99%

The digital ecosystem information framework: Insights from action design research

Gill

2022

Journal of Information Science

View full text Add to dashboard Cite

show abstract

“…The IBDMA framework as adopted from [68][69][70][71] has five main contextual elements, as shown in Fig. 6.…”

Section: The Ibdma Frameworkmentioning

confidence: 99%

A Reference Architecture for IoT-Enabled Smart Buildings

2022

View full text Add to dashboard Cite

The management and analytics of big data generated from IoT sensors deployed in smart buildings pose a real challenge in today’s world. Hence, there is a clear need for an IoT focused Integrated Big Data Management and Analytics framework to enable the near real-time autonomous control and management of smart buildings. The focus of this paper is on the development and evaluation of the reference architecture required to support such a framework. The applicability of the reference architecture is evaluated by taking into account various example scenarios for a smart building involving the management and analysis of near real-time IoT data from 1000 sensors. The results demonstrate that the reference architecture can guide the complex integration and orchestration of real-time IoT data management, analytics, and autonomous control of smart buildings, and that the architecture can be scaled up to address challenges for other smart environments.

show abstract

“…A digital ecosystem is an: "interdependent network of enterprises, people and/or things that interact and collaborate for value co-creation". 1 The coronavirus (COVID- 19) is pivoting significant changes to nearly every organization's business and digital ecosystem. 2 As an example, the increasing digitization in hospitals is enabling the development of extremely interconnected digital ecosystems, allowing huge volume of data collection in real time.…”

Section: Introductionmentioning

confidence: 99%

PESTLE+ risk analysis model to assess pandemic preparedness of digital ecosystems

Anwar

Gill

Fitzgibbon

et al. 2021

Security and Privacy

Self Cite

View full text Add to dashboard Cite

COVID-19 pandemic has affected every country in many ways. Its substantial economic impacts are causing businesses to fade, pushing many nations into an economic downturn. This exposes organizations worldwide to unique risks which cannot be foreseen with conventional methods of risk analysis. This research is part of a broader action design research project conducted in collaboration with industry partner to answer an important research question: How to extend PESTLE risk analysis model to assess pandemic preparedness? In this context, the health factor is added to extend the traditional PESTLE risk analysis model. Furthermore, the interdependence between PESTLE factors has also been investigated, which has not been discussed before. The contribution of this research is the novel PESTLE+ risk analysis model that will help individuals and businesses to improve their understanding of the health crisis, such as the COVID-19, adjust accordingly and eventually endure the ongoing crisis, which is driving most businesses into liquidation.

show abstract

A Review of the Seven Modelling Approaches for Digital Ecosystem Architecture

Cited by 14 publications

References 21 publications

The digital ecosystem information framework: Insights from action design research

The digital ecosystem information framework: Insights from action design research

A Reference Architecture for IoT-Enabled Smart Buildings

PESTLE+ risk analysis model to assess pandemic preparedness of digital ecosystems

Contact Info

Product

Resources

About