The Digital Economy revolutionises
how we work, how we compete, how we organize, how we innovate
At CoDE, we push the boundaries of knowledge and management practice in the Digital Economy through leading-edge research and deep engagement with business and government
Example: The Platform Strategy Handbook, Prof Annabelle Gawer
Whether they harness the power of innovators worldwide, or whether they facilitate exchanges and transactions across consumers and users through online marketplaces, platforms are transforming competition and innovation in the digital economy. They are built on a technological core, and structure business relationships in specific ways, which are not well understood.
Co-authored with MIT Prof Michael Cusumano and Harvard Business School Prof David Yoffie, this book clarifies how to compete and win in platform industries.
Example: Open data and innovation ecosystems, Dr Carla Bonina
How is value created and captured in open data ecosystems? What mechanisms enable collaboration and leverage solutions with open data and open resources? Through in depth case studies including Latin American cities and the European audio industry, this study contributes to the open innovation, entrepreneurship and public management literatures. Outcomes: policy conference presentations (International Open Data Conference, ConDatos) + working papers for policy outlets and management journals. Engagement with government, businesses and entrepreneurs; advice on open data strategies and emerging business models. Related grants: Audio Commons Project, European Commission grant #688382 (2016-2019, €707,458, with Dr David Plans); ESRC- GCRF Development implications of digital economies (DIODE) research network (2017-2018, with U Manchester).
Example: ConTriVE: Moderating Mechanisms in addressing Vulnerability for the Design of Business and Economic Models, Prof Roger Maull
This £1.2M EPSRC grant (SBS value £220k) with partners Warwick Manufacturing Group, UWE, University of Cambridge Cavendish Labs, explores whether and to what extent individual subjective perceptions of Trust, Identity, Privacy, and Security (TIPS) coincide with the objective assessment of TIPS (e.g. by the relevant governmental or cybersecurity institutions). This is valuable because, to date, research on the Digital Economy has only addressed a question of reducing objective vulnerability of systems, via technical solutions such as security protocols and algorithms that ‘protect’ the individual. But we know very little about how the subjective and the objective assessments of TIPS relate.
This project concentrates on understanding and measuring user subjective vulnerability to TIPS issues, and studies implications of this subjective vulnerability for business models in the digital economy. The methodology is to use the Hub of all Things platform to conduct live experiments with various scenarios for trading personal data.
Example: ACCEPT: Addressing Cybersecurity and Cybercrime via a co-Evolutionary aPproach to reducing human-relaTed risks, Prof Roger Maull
This £1.1m EPSRC grant (SBS value approx. £100k) in collaboration with UCL, University of Warwick, and Transport Research Lab explores the social and behavioural aspects of cybersecurity and cybercrime. Cyber systems change far faster than biological/material cultures, and criminal behaviour and techniques evolve in relation to the changing nature of opportunities centring on target assets, tools and weapons, routine activities, and business models. In a hyperconnected environment, the structure and behaviours of communities, and the networks and relationships between individuals, businesses and organisations, underpin cybercrime behaviour. This complex, non-linear process can lead to co-evolution in the medium-longer term.
This research (1) Incorporates theoretical concepts from social, evolutionary and behavioural sciences which provide insights into the co-evolutionary aspect of cybersecurity/cybercrime ecosystems; (2) Draws on extensive real-world data from different sources on behaviours of individuals and organisations within cybersecurity/cybercrime ecosystems; and (3) Develops a framework that can provide practical guidance to system designers on how to engage individual end users and organisations for reducing human-related cyber risks.
Example: Wearables and workplace stress, Dr David Plans
To which extent can digital technology promote wellness and prevent stress in the workplace? This project focuses on understanding and transforming the way organizations can use data to help employees manage their health. With partners such as BioBeats, BNP Paribas and AXA PPP Healthcare, this project’s unique method blends data capturing from apps, wearables, social media and provides personalised interventions based on artificial intelligence (AI). Outcome: In-field trials; a novel stress algorithm developed.