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Challenges and Opportunities for Humanitarian Researchers: Dreadful Biases and Heavenly Combinations of Mixed Methods

Akhtar, Pervaiz (2017) Challenges and Opportunities for Humanitarian Researchers: Dreadful Biases and Heavenly Combinations of Mixed Methods. In: Kovács, Gyöngyi and Spens, Karen and Moshtari, Mohammad, eds. The Palgrave Handbook of Humanitarian Logistics and Supply Chain Management. Palgrave Macmillan, pp. 121-147. ISBN 978-1-137-59098-5. (doi:10.1057/978-1-137-59099-2_4) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:75467)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
https://doi.org/10.1057/978-1-137-59099-2_4

Abstract

This chapter offers much-needed complementary methodological choices that emphasize the heavenly combinations of mixed methods (case studies coupled with analytic hierarchy/network processes; surveys combined with in-depth interviews). It particularly focuses on the linkages between these combinations and humanitarian operations. The chapter also draws attention to the dreadful challenges of biases (e.g., network and citation biases) and statistical complications (e.g., data quality measures and endogeneity issues), which could lead towards invalid findings and biased publications if they are not dealt systematically. Additionally, how contemporary research methods and techniques (e.g., network analysis and machine learning techniques) detect biased publications and highlight the corporate-academic corruption is illustrated with a case taken from the special issue published by the Journal of Business Research in 2016. The chapter finally suggests some pragmatic actions to maintain the quality of our future research.

Item Type: Book section
DOI/Identification number: 10.1057/978-1-137-59099-2_4
Divisions: Faculties > Social Sciences > Kent Business School
Depositing User: Pervaiz Akhtar
Date Deposited: 19 Jul 2019 12:26 UTC
Last Modified: 19 Jul 2019 12:27 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/75467 (The current URI for this page, for reference purposes)
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