Using Mixed Methods to Evaluate the Role and Contribution of Disciplined Innovation Processes (DIPs) for Start-Up Growth and Development.
Year: 2021
Type: conference-paper
Abstract: According to Ohr and Frank-Mattes (2017), there appears to be limited knowledge or appreciation of disciplined innovation frameworks, tools or techniques for the scale-up phase of commercialisation, especially from those with technical backgrounds. The research questions in this study therefore asks: Can a more disciplined approach to the innovation process make a positive contribution to improved commercialisation outcomes for start-ups and corporate venturing? Additionally, it asks if this disciplined process can be configured into a reliable and repeatable process across multiple contexts? For complex research questions such as this, quantitative or qualitative research approaches alone cannot adequately address these questions. This paper demonstrates how a mixed methods research design and data analysis strategy can address the research questions outlined above. The approach taken in the study is best described as a multiphase sequential exploratory research design (Saunders et al. 2012). In this sequential exploratory design, qualitative data collection and analysis takes place first (Cross- case analysis), followed by quantitative data collection and analysis (Qualitative Comparative analysis). The final stage in the study is the interpretation of the combined results from both phases. This research, when completed, will serve as the empirical basis for the development of a proprietary approach to the disciplined innovation process. This mixed-method research on disciplined innovation processes can help in ‘upping the batting average’ by identifying those factors which must necessarily be present in the start-up to increase their chances of survival. Findings will have implications, in particular, for future entrepreneurial support services to entrepreneurs which are provided by the State and/or Universities and HEIs.
Language: English
Subfield: Management of Technology and Innovation
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W3217000459