| Chapter 1: | Introduction |
Research Methodology
I used both quantitative and qualitative techniques for this research. First, I analyzed the data for software exports from all the 14 major states in India using a multivariate time-series regression model to examine the factors associated with the growth in exports from this industry. Then I examined the three states (Tamil Nadu, Andhra Pradesh, and Kerala) in detail using a comparative multiple case study approach (Eckstein, 1975; Lijphart, 1975; Yin, 2003). This design focused on explanatory and inductive-iterative theory building through analytical techniques such as pattern matching, process tracing, explanation building, and cross-case comparative analysis and synthesis (George & Bennett, 2005; King, Keohane, & Verba, 1994; Ragin, 1987; Yin, 2003). I used crucial and shadow cases to examine and analyze the data and generalize the results. I examined the two states that were highly successful—namely, Andhra Pradesh and Tamil Nadu—as crucial cases to build a theoretical model to explain the role of state policies in the development of innovation-based industries at a regional level under an overall neoliberal policy framework of the central government. I analyzed Kerala as the shadow case as it lagged behind its more successful neighbors in developing this industry. The purpose of selecting a shadow case was to help test the theory and generalize the findings. The selection of these three states as cases was based on replication logic, where cases are picked up based on either a literal replication or a theoretical replication or both (Yin, 2003, p. 47). The selection of cases was guided by the initial theoretical framework developed. The criteria in this case was to select cases that help build up a theoretical framework for examining the role of the state in promoting the development of