Entrepreneurial Growth in Industrial Districts

Entrepreneurial Growth in Industrial Districts

Four Italian Cases

Fernando G. Alberti, Salvatore Sciascia, Carmine Tripodi and Federico Visconti

Entrepreneurial Growth in Industrial Districts illustrates that Industrial Districts (ID) have dramatically changed over the past three decades; the Marshallian notion of a cluster of small firms has been vastly transformed by the emergence of rapidly growing firms.

Chapter 9: Cross-case Analysis

Fernando G. Alberti, Salvatore Sciascia, Carmine Tripodi and Federico Visconti

Subjects: business and management, entrepreneurship, strategic management


F. G. Alberti, S. Sciascia and C. Tripodi This chapter aims at reporting the first group of results of the cross-case analysis. Such a report contains the holistic interpretation of the phenomena investigated, along the set of areas of inquiry presented in Chapter 4. We report on the different types of opportunities identified and exploited in the four companies, the sources of them, the resources possessed by the firms that allowed the identification and exploitation of the entrepreneurial opportunities and the organisational mechanisms of knowledge acquisition and exploitation employed. Tables throughout the chapter display such elements as resulting from the four cases. The chapter concludes with a discussion of the consistencies identified among cases regarding the antecedents of firm growth. 9.1. INTRODUCING CROSS-CASE ANALYSIS Complying with the nature of our research question and the aim of the book, introduced in Chapter 1, after arriving at a case interpretation per each company (that is within-case analyses presented in Chapters 5 to 8) we interpreted the case studies in cross-sectional terms. In this chapter, we analyse data across all of the cases in order to identify the antecedents of firm growth through the lenses of entrepreneurship. According to Eisenhardt (1989), the overall idea of cross-case analysis is to force the researcher to go beyond the initial impressions using structured and diverse lenses on the data. As a result, the likelihood of achieving an accurate and reliable theory is improved. Three tactics are suggested: 1) select categories and look for within-group similarities coupled...

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