School of Computing and Engineering

Open Digital Business Ecosystem Model for Value Co-Creation

Primary Supervisor: Dr Chekfoung Tan

Duration: 3 years full-time

Research Context

Digital Business is the creation of new business designs by blurring the digital and physical worlds and it has become a strategic transformation paradigm for a company to redefine its business model in a business network. A digital business ecosystems (DBE) connects multiple business organisations (agents) to deliver better products and services to customer as well as well as delivering values in terms of business values, customer values and innovation values. The networked business model connects business organisations with a shared vision through the advances of disruptive technologies where strategic business-IT alignment comes to play. The openness in the digital business ecosystem enables innovation which continues delivers value to the participating business organisations. However, poor-aligned business network causes ineffective collaboration among business organisations that jeopardise product development and service delivery. In addition, there is still a significant gap in incorporating business-IT alignment research in the whole digital business ecosystem approach. Moreover, there is a lack of methodology in assessing capabilities of these business organisations prior to joining the digital business ecosystem.

Research Goals

This research aims to develop an open digital business ecosystem model. The model consists a series of methods that include: organisational capability assessment (strategic and operational alignment) for business partners / organisations prior to joining the ecosystem, values definition framework that captures value and innovation value chain created to the ecosystem.

Candidate Profile

Applicants will be expected to hold a good first degree (first or upper second class) and a Master’s Degree (distinction or equivalent) in Information Systems, Business Management, Computer Science or other related disciplines.
The potential candidate should be able to work in a collaborative environment, with a strong commitment to reaching research excellence and achieving assigned objectives. It is expected that the PhD candidate will carry out applied research work that will start from the establishment of a theoretical framework, continue with artefact development with real data, and critically evaluate the proposed solution through case studies.

Background knowledge in Enterprise Architecture is mandatory. Other knowledge or previous experience in the following areas are preferable: organisational semiotics, digital business, open innovation, value chain and creation, disruptive technologies and case study research.
All applicants for whom English is not their first language must also demonstrate their English language proficiency through evidence of IELTS at overall 7 (with 6.5 in all four skills) or by providing access to MA/MSc chapters or published work.

Further information

For general enquiries about the application process visit the Graduate School pages.

Questions regarding academic aspects of the project should be directed to Dr Chekfoung Tan