Creating innovation in small and medium-sized enterprises:evaluating the short-term effects of the creative credits pilot

This working paper looks at the short-term impact of the Creative Credits pilot scheme which operated in the Manchester City Region in the North West of England from September 2009 to September 2010, and was funded by NESTA, Manchester City Council, the North West Development Agency, the Economic and Social Research Council (ESRC) and the Arts and Humanities Research Council (AHRC). Creative Credits is a business-to-business (B2B) voucher mechanism designed to encourage small and medium-sized enterprises (SMEs) to work innovatively with creative companies. Businesses receive credits worth £4,000, which they must match with at least £1,000, to spend with creative firms on a variety of creative services.

Identifying capacity building cluster impact in the West Midlands

specific themes in Energy, Health Technologies and Finance via KTP (6), CASE (18), Placement (6) and Voucher (3) projects across the themes. Through the analysis of responses to an assessment questionnaire, reports from and interviews with a number of researchers, academics and industry sponsors engaged in KTP, CASE, and Placement projects we attempt to identify, analyse and assess the impact of these research projects. We adopt the Research Councils UK (RCUK) definition of research impact as 'the demonstrable contribution that excellent research makes to society and the economy'. In addition to identifying academic impact, we identify evidence of social and economic impact, for example, that it has been taken up and used by policy makers, and practitioners and has led to improvements in services or business. Helpful and un-helpful factors, identified during the execution of the research projects, are also considered.

The goal-dependent automaticity of drinking habits

In recent treatments of habitual social behaviour, habits are conceptualized as a form of goal-directed automatic behaviour that are mentally represented as goal-action links. Three experiments tested this conceptualization in the context of students' drinking (alcohol consumption)habits. Participants were randomly assigned to conditions where either a goal related to drinking behaviour (socializing) was activated, or an unrelated goal was activated. In addition, participants' drinking habits were measured. The dependent variable in Experiments 1 and 2 was readiness to drink, operationalized by speed of responding to the action concept 'drinking' in a verb verification task. Experiment 3 used the uptake of a voucher to measure drinking behaviour. Findings supported the view that when habits are established, simply activating a goal related to the focal behaviour automatically elicits that behaviour. These findings are consistent with a goal-dependent conception of habit. Possibilities for interventions designed to attenuate undesirable habitual behaviours are considered.

Assessing an experimental approach to industrial policy evaluation:Applying RCT+ to the case of Creative Credits

Experimental methods of policy evaluation are well-established in social policy and development eco-nomics but are rare in industrial and innovation policy. In this paper, we consider the arguments forapplying experimental methods to industrial policy measures, and propose an experimental policy eval-uation approach (which we call RCT+). This approach combines the randomised assignment of firmsto treatment and control groups with a longitudinal data collection strategy incorporating quantitativeand qualitative data (so-called mixed methods). The RCT+ approach is designed to provide a causativerather than purely summative evaluation, i.e. to assess both ‘whether’ and ‘how’ programme outcomesare achieved. In this paper, we assess the RCT+ approach through an evaluation of Creative Credits – aUK business-to-business innovation voucher initiative intended to promote new innovation partnershipsbetween SMEs and creative service providers. The results suggest the potential value of the RCT+ approachto industrial policy evaluation, and the benefits of mixed methods and longitudinal data collection.