Professor David Douglas
About Professor David Douglas
David is Professor of Business and Management at Leeds Business School. He is currently Director of the Business School’s professional doctorate award, ‘Doctor of Business Administration’ (DBA), and has a particular research interest in the areas of enterprise and innovation. David completed his PhD in entrepreneurial cognition and decision making, and has over twenty five years’ experience as an academic. He regards his research focus as being predominantly applied, with an emphasis on designing rigorous methodologies for real world business and organisational problems.
David has a particular research interest in evaluation studies in the broad field of innovation, and innovation policy. He has a particular research interest on the lesser researched areas of non-technological innovations, and ‘additionality effects’ of policy support measures on R&D and innovation set within business and organisational contexts. He has undertaken research and evaluation contracts for a number of public and private sector organisations, for example: the European Commission on measuring the impact of public support on regional innovation for SMEs in manufacturing industries across seven European regions; and an assessment of the support requirements of Mid-sized businesses who seek to internationalise their products or services.
- Director of Studies for DBA and PhD postgraduate researchers
- Selective teaching on doctoral programmes
Professor Douglas's research seeks to establish rigorous depths of inquiry whether it be a single unit of analysis, an entrepreneur or an individual small business for example, or large inquiries that may encompass multiple actors and large complex datasets. He particularly researches in the fields of innovation, innovation policy, evaluation and impact studies, small and Medium-sized enterprise, and Entrepreneurship.
Depth approaches may thus require qualitative methods that evince inductively derived conclusions. However the necessity to establish substantial population samples and apply deductive-based approaches to better address research problems and potentially influence policy, can require diverse quantitative based thorough applications.