Mobile Rapid DNA technology is close to being incorporated into crime scene investigations, with the potential to identify a perpetrator within hours. However, the use of these techniques entails the risk of losing the sample and potential evidence, because the device not only consumes the inserted sample, it is also is less sensitive than traditional technologies used in forensic laboratories. Scene of Crime Officers (SoCOs) therefore will face a ‘time/success rate trade-off’ issue when making a decision to apply this technology.In this study we designed and experimentally tested a Decision Support System (DSS) for the use of Rapid DNA technologies based on Rational Decision Theory (RDT). In a vignette study, where SoCOs had to decide on the use of a Rapid DNA analysis device, participating SoCOs were assigned to either the control group (making decisions under standard conditions), the Success Rate (SR) group (making decisions with additional information on DNA success rates of traces), or the DSS group (making decisions supported by introduction to RDT, including information on DNA success rates of traces).This study provides positive evidence that a systematic approach for decision-making on using Rapid DNA analysis assists SoCOs in the decision to use the rapid device. The results demonstrated that participants using a DSS made different and more transparent decisions on the use of Rapid DNA analysis when different case characteristics were explicitly considered. In the DSS group the decision to apply Rapid DNA analysis was influenced by the factors “time pressure” and “trace characteristics” like DNA success rates. In the SR group, the decisions depended solely on the trace characteristics and in the control group the decisions did not show any systematic differences on crime type or trace characteristic.Guiding complex decisions on the use of Rapid DNA analyses with a DSS could be an important step towards the use of these devices at the crime scene.
Traditionally the construction industry in New Zealand and in other countries has seen a low productivity and a low track record for successful sustainable innovations. This has a negative impact on private and government spending, on quality and on health and environmental aspects. This research proposal posits that the construction industry needs disruptive (discontinuous, radical) technology innovations to be able to make drastic improvements. Such innovations often come from entrepreneurial small firms from outside the industry or at the beginning of supply chains and must be procured and adopted into such chains. This PhD proposal focuses on procurement activities of such firms in the New Zealand construction industry when they conduct disruptive waste-reducing innovations. These procurement activities must be aligned with (internal and external) innovation activities for an optimal firm performance. This performance is moderated by four clusters of internal and external variables.
