The major objective of this research is to understand the variables that act as catalysts for innovation in large manufacturing organisations in an emerging economy. The interpretive structural model (ISM) methodology is adopted to propose a hierarchical relationship model, and impact matrix cross-reference multiplication applied to a classification (MICMAC) analysis is used to understand the relative importance of the catalysts. The ISM shows that a group of catalysts at the base of the ISM (e.g., leadership support for innovation) have high driving power and low dependence, which is strategically important and requires maximum attention, while another group of variables at the top of the ISM (e.g., disruptive innovation and incremental innovation) have high dependence and are the resultant actions. This study provides explicit directions for managers to generate innovation and improve organisational performance and is expected to support future research on innovation.
Farooq et al. (Wed,) studied this question.