The purpose of this thesis is to structure supply market intelligence (SMI) as an entity and recognize the importance of different aspects to companies and to identify how big data analytics (BDA) can be used to create systematic SMI. These objectives are studied through qualitative research with inductive approach consisting of some features of abduction due to the new and continuously developing topic. Data collection methods of semi-structured interviews and focus group discussions are selected. Data triangulation is applied via sources of supply management professionals and BDA solution providers / experts to ensure validity of the data and results.Findings of the study indicate that there is great potential in creating SMI to support strategic supply management via BDA. Value is realized through actions such as creating competitive advantage via informed decision-making, improving supply risk management and identifying opportunities in the supply markets. An overall picture of the supply markets, value nets and supply chains can be obtained by creating comprehensive SMI. External solution providers can conduct the analysis in collaboration with the focal company. Analytical mindset and understanding of the analysis are important for integrating SMI into processes. This study provides novel results both managerially and in academic discourse by examining the opportunities and value that can be achieved through SMI.
展开▼
