Christopher Rajkumar
Ph.D Student
University of Southern Denmark
Department of Entrepreneurship and Relationship Management
| Contact info | |
| cra@sam.sdu.dk | |
Research interest
Sourcing Innovation, Supply Chain Management, Supply Chain Innovation, Information Technology
PhD - Towards a theory of Sourcing Innovation:
Conceptualization, Antecedents and Performance Implications
The purpose of this Ph.D is to understand the conceptual
domain of sourcing innovation by theoretically as well as empirically
defining the various theoretical constructs that underpin the complex
concept
The Ph.D seeks til answer the questions:
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What is the theoretical conceptualization and operationalization of sourcing innovation?
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What are firm-specific and relation-specific antecedents that drive sourcing innovation?
- What type of role does information technology play in driving sourcing innovation?
- What are the performance implications of sourcing innovation?
Method
The method used to create the empirical foundation
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An in-depth and systematic review used to collect existing research on factors included in the framework.
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The empirical approach will include the case study which enables a deeper understanding of sourcing innovation.
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A survey approach will also be used to generalize the results based on a larger population. The survey approach will involve phone interviews at both buyer and supplier firms (dyadic data). The survey research will also involve multiple respondents.
Theoretical Frame
The theoretical frame for this Ph.D is Sourcing Innovation. With a focus on
Supplier & Buyer perfomrance, Firm-specific antecedents,
Relationship-specific antecedents and Information technology
Findings & Contribution
This Ph.D seeks to empower researchers and practitioners to evaluate various success and failures formula within sourcing innovation. Further it will also facilitate further empirical research within sourcing innovation. More importantly, this research effort will stand apart from past research within SCM by showcasing an innovative data collection effort.