The research presented in this thesis investigates how organisations enable innovation through collaborative partnerships to maintain competitive advantages when resources such as manpower and finance are limited. Previous studies confirm that improving performance effectiveness of a Collaborative Innovation (CI) relationship needs to effectively manage multiple complex factors from various aspects. As the performance outcome of the CI relationships does not always satisfy expectations with financial and other consequences, research asserts itself as an imperative for promoting knowledge on identifying gaps that need to be filled in the field of Performance Measurement and Management (PMM) and CI. To improve efficiency and effectiveness of CI, PMM can be applied to support CI. The function of PMM is to improve the quality of CI and reduce the risk of possible failure. The aim of this research is to investigate how collaborative partners design PM systems for improving effectiveness of CI. The result of the research contributes to gaining a better understanding of designing and managing an effective PMM framework to achieve effective CI. Qualitative research design with case studies as research method was adopted in this research. Seven case studies were chosen based on their potential for providing theoretical and practical perspectives. In the case studies, semi-structured interviews were conducted based on the reference model of designing a Collaborative Innovation Performance Measurement (CIPM) system. The requirements, characteristics and dimensions of the CIPM reference model are then compared and analysed, which leads to an enhanced reference model. Based on the reference model, a step-based construct for designing CIPM systems is presented.The key findings of this research are: 1) a comprehensive list of the factors influencing the effectiveness of collaborative innovation was identified; 2) an improved understanding of performance measurement in collaborative innovation projects was provided; 3) a CIPM reference model was proposed; 4) a step-based construct for designing collaborative innovation performance measurement systems was developed. The research contributes to the understanding, designing and managing of effective performance measurement systems for improving effectiveness of CI. Also, it can contribute to the analysis of factors which enable and constrain designing effective PMM systems in a collaborative innovation system in the context of academia-industry collaboration. Academic researchers in operations management can benefit from the results of the present research. Practically, project managers can use the conclusion of the present research, as a reference model when designing their own effective performance measurement systems for achieving the objective of CI.
|Date of Award||25 Jul 2019|
- University Of Strathclyde
|Supervisor||William Ion (Supervisor) & Abigail Hird (Supervisor)|