A Data-Centric Approach to Breaking the FDI Trap Through Integration in Global Value Chains by Jolta Kacani

A Data-Centric Approach to Breaking the FDI Trap Through Integration in Global Value Chains by Jolta Kacani

Author:Jolta Kacani
Language: eng
Format: epub
ISBN: 9783030431891
Publisher: Springer International Publishing


5.2.4 Limitations of Case Study Methodology

According to Bian et al. [3] case study methodology is mainly questioned on generalization for a broader population (external validity). Another threat to case study methodology is the influence of researcher’s previous experience on the area of interest. The researcher needs to start a case study without any personal bias in finding out on the phenomenon under investigation. Pre-existing assumptions and experience can impede the researcher from observing important and hidden details in the phenomenon. Such biases on the researcher damage the credibility of the data collection process and the overall trustworthiness of the case study research. Creswell [8] together with Guba and Lincoln [17], suggest that the researcher should strive for a stance of unbias neutrality that can lead to data that is reliable, factual, and credible. In a case study methodology, the researcher will be affected by what is being studied. The repetitive nature of data collection, analysis, and synthesis implies that the researcher is continually learning and understanding more about the phenomenon. Consequently, as the primary instrument for data collection and analysis, the researcher needs to change over the course of the research to reflect the on-going findings and not to stick to previous experience or assumptions [14, 41].



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