Information Systems and Digital Transformation Research
Our research covers Information Systems (IS) and Operations Management, Supply Chain, and Logistics.
Our work explores all aspects of information systems and applications of digital technologies. We study different sectors and domains.
In particular, we consider the impact of internet-related technologies and e-business on emerging strategies and e-business models. We also examine the resulting organisational, product and service innovations.
Our research covers a wide range of markets and sectors. In particular, we focus on:
- innovative applications
- new ways of creating and capturing value for both users and organisations
Our research approach
Our research uses a variety of methodologies. It covers a wide range of information systems and digital research areas.
We aim to address questions linked to practice. We do this by:
- integrating qualitative and quantitative approaches
- tailoring these approaches to the specific needs of each research domain
We're committed to creating value for our stakeholders and partners. As we use diverse methodologies, we can unravel complex phenomena. We can then derive practical implications that resonate with stakeholders.
We have strong networks with industry, government, and non-profit organisations. This allows us to secure funding for our research endeavours. It also ensures the relevance and applicability of our findings in real-world contexts.
We bridge the gap between academia and industry. Collaborative projects and knowledge exchange initiatives help translate cutting-edge research into impactful solutions.
Research themes
Our research focuses on the transformative role of information systems and digital technologies across sectors. We explore:
- innovative applications
- e-business models
- the adoption of emerging technologies
We consider how to address real-world challenges and create value for stakeholders.
Acceptance, adoption and diffusion of technology
We study the underlying change processes that affect information system management and behaviour. This can significantly impact how technologies are adopted, deployed and used over time. These technologies include:
- cloud computing
- blockchain
- artificial intelligence
- mobile apps
- e-business models
Business models explain how a company:
- is structured
- provides value to its customers
- makes profits and sustains revenue by working with partners to create, market, and deliver value
ICTs can play a key role in all business blocks. This makes it possible to innovate beyond the design of the products/service itself.
Ecommerce
We explore how consumers use digital technologies and platforms in their day-to-day activities. We examine the transition from traditional consumption behaviour to online consumption. As part of this, we examine:
- the context of online consumption experience
- consumers' online interaction with their peers in the context of sharing economy
- the effect that the new forms of consumption have on consumers’ well-being
- e-retailing and consumer journeys
Our research also examines different retail approaches. It considers multi-channel, cross-channel and omni-channel strategies. We are particularly interested in the transition from multi-channel to omni-channel strategies. We investigate how different available channels and customer touchpoints can complement each other. We also consider how this can enhance and optimise customer experience.
Artificial Intelligence, smart technologies and Big Data
AI and the Internet of Things (IoT) will enable people and things to connect at any time, in any place, with anything and anyone, using any network and any service. Technology is increasingly ubiquitous. It manifests through smart homes, workplaces, manufacturing, and cities. It will redefine how we live and work and provide new capabilities and opportunities. However, it will also pose significant challenges and risks.
National Edge AI Hub
The National Edge AI Hub was developed with experts from various fields and regions. We aim to use world-class research to protect the quality of data associated with AI algorithms. This is especially so when they are subjected to cyber attacks in the Edge Computing environments.
“Edge artificial intelligence” refers to the deployment of artificial intelligence (AI) algorithms and models on edge devices, such as:
- smartphones
- Internet of Things (IoT) devices
- sensor
- other embedded systems
This is instead of relying solely on centralised cloud servers for processing. This is a 5 year project funded by EPSRC.
External engagement and collaboration
Our research thrives on collaborations with a diverse range of partners and stakeholders. This includes industry leaders, government agencies, non-profit organisations, and academic institutions. We share knowledge and co-create solutions that drive technological advancement and societal progress.
These partnerships are essential in ensuring the relevance and applicability of our research. Engaging with industry partners provides valuable insights into current challenges and emerging trends. It enables us to tailor our research to address real-world needs.
National EdgeAI Hub
- Funder: EPSRC
- Start date: February 2024
- End date: January 2029
- Co investigator: Savvas Papagiannidis
Energy Village - Technology Adoption and Consumer Behaviour
- Funder: NGN
- Start date: April 2022
- End date: March 2029
- Co investigator: Savvas Papagiannidis
AI and Big Data workshops
- Funder: Society for the Advancement of Management Studies (SAMS)
- Start date: March 2020
- End date: February 2023
- Principal investigator: Savvas Papagiannidis
PACE: Privacy-Aware Cloud Ecosystems (SAGE Computing)
- Funder: EPSRC
- Start date: August 2018
- End date: December 2021
- Co-investigator: Savvas Papagiannidis
