Acknowledgments ixIntroduction xiPart 1. The Relationship between Innovation and Export in SMEs 1Chapter 1. The Innovation-Export Relationship: A Complex Vision 31.1. The innovation-export link: a controversial debate 41.1.1. In the industrial world: a compartmentalized vision 41.1.2. In the academic world: a causalist vision questioned 81.2. Towards a paradigm shift 161.2.1. Moving from analytical thinking to complex thinking 161.2.2. Theoretical framework: articulation of mobilized theories 211.2.3. The application of the complexity paradigm to SME innovation and export activities 30Chapter 2. Joint Innovation-Export Best Practices 372.1. The construction of a theoretical frame of reference 372.1.1. Identifying innovation practices: the potential innovation index (PII) 382.1.2. Identification of export practices 412.1.3. Towards a joint reference system 442.2. What about the field? 552.2.1. Presentation of the consulted companies and method 572.2.2. Highlighting synergies 592.2.3. Discussions 65Part 2. PE2I, or How to Model Synergies 67Chapter 3. Design of a Joint Diagnosis Dedicated to SMEs: The PE2I 693.1. The methodological framework 693.1.1. The methodological background 703.1.2. The methodological tools used 723.1.3. PII and PEI as a basis for development 743.2. The construction of the PE2I 783.2.1. Step 1: create a maturity profile 783.2.2. Step 2: weighting and characterization of the evaluation model using multi-criteria analysis tools 803.2.3. Step 3: identify customized improvement paths 84Chapter 4. Implementation of the PE2I: Test with French SMEs 874.1. Experimental panel and methodology 874.1.1. Presentation of the panel 884.1.2. The conduct of the interviews 894.2. Presentation of results and observations 914.2.1. Case 1: company 1 914.2.2. Case 2: company 2 964.2.3. Case 3: company 3 994.2.4. Case 4: company 4 1034.2.5. Case 5: company 5 1064.2.6. Case 6: company 6 1104.3. Assessment 113Chapter 5. Feedback on the PE2I Tool 1155.1. The advantages and limitations of the PE2I tool 1155.1.1. A customizable pedagogical representation tool 1155.1.2. Operational difficulties 1175.2. Prospects for improvement 1205.2.1. Operationalizing the evaluation: reconciling the constraints of the field 1215.2.2. Contextualization of the recommendation system: taking into account differentiating factors 1235.2.3. Proposing evidence-based recommendations: an operational action plan to promote synergies 126Conclusion 129References 141Index 157
Manon Enjolras is Assistant Professor at the ERPI laboratory (Université de Lorraine, France). She works on metrology of innovation processes and the application of multi-criteria analysis methodologies for the design of decision support tools for enterprises.