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].
Download
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.
Algorithms of the Intelligent Web by Haralambos Marmanis;Dmitry Babenko(8298)
Azure Data and AI Architect Handbook by Olivier Mertens & Breght Van Baelen(6730)
Building Statistical Models in Python by Huy Hoang Nguyen & Paul N Adams & Stuart J Miller(6709)
Serverless Machine Learning with Amazon Redshift ML by Debu Panda & Phil Bates & Bhanu Pittampally & Sumeet Joshi(6581)
Data Wrangling on AWS by Navnit Shukla | Sankar M | Sam Palani(6366)
Driving Data Quality with Data Contracts by Andrew Jones(6314)
Machine Learning Model Serving Patterns and Best Practices by Md Johirul Islam(6080)
Learning SQL by Alan Beaulieu(5994)
Weapons of Math Destruction by Cathy O'Neil(5779)
Big Data Analysis with Python by Ivan Marin(5360)
Data Engineering with dbt by Roberto Zagni(4356)
Solidity Programming Essentials by Ritesh Modi(4005)
Time Series Analysis with Python Cookbook by Tarek A. Atwan(3863)
Pandas Cookbook by Theodore Petrou(3574)
Blockchain Basics by Daniel Drescher(3292)
Hands-On Machine Learning for Algorithmic Trading by Stefan Jansen(2905)
Feature Store for Machine Learning by Jayanth Kumar M J(2813)
Learn T-SQL Querying by Pam Lahoud & Pedro Lopes(2796)
Mastering Python for Finance by Unknown(2744)
