Browsing by Author "Maarsingh, Berno"

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    Exploring the dynamics of inclusive innovation systems through event history analysis
    (Stellenbosch : Stellebosch University, 2022-04) Maarsingh, Berno; Grobbelaar, Sara S.; Herselman, Marlien; Stellenbosch University. Faculty of Engineering. Dept. of Industrial Engineering.
    ENGLISH ABSTRACT: Innovation is commonly viewed as an important factor in stimulating economic growth. Despite the positive effect of innovation, it is often focussed on high-income groups, excluding economically marginalised individuals and groups. This results in a distancing of economic growth from the marginalised groups and leads to inequality. In response, the Innovation for Inclusive Development (I4ID) model has been introduced, which draws on the theory of the conventional Innovation Systems (IS) perspective, to include the marginalised in the process or outcome of innovation. Many I4ID projects have been implemented, but with limited success. In fact, the successful projects are consistently outnumbered by the failed ones, particularly in developing countries. It is argued that reasons for this are the weak understanding of the definition, nature and dynamics of I4ID, among others. This research project addresses the weak understanding, by specifically focussing on enhancing the understanding of the dynamics within I4ID. The Event History Analysis (EHA) research method is used, together with feedback loops and causal loop diagrams (CLDs) (methods from the System Dynamics domain), to formulate an analytical approach to analyse three successful I4ID projects – identifying the core dynamics consisting of causal relationships between the system functions of innovation that are present within each case. The findings of each case are synthesised to identify five core dynamics across the three cases. Lastly, these five dynamics are combined into one CLD that explains the development of the combined I4ID system, with reference to the system functions. The findings of each case are synthesised to identify five phases that translate to five core dynamics across the three cases. There are: Pre-engagement Project Preparation (First Phase), Obtain Buy-in from Target Audience (Second Phase), Training and First Usage (Third Phase), Routine Usage, Feedback and Adjustment (Fourth Phase) and Project Disengagement and Handover (Fifth Phase). Lastly, these five dynamics from the five phases are combined into one final CLD that explains the development of the combined I4ID system, with reference to the system functions.