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G. Kovács, K. Spens, Mohammad Moshtari (2017)
The Palgrave Handbook of Humanitarian Logistics and Supply Chain Management
Yolanda Obaze (2019)
The transformative community-based humanitarian service ecosystemJournal of Humanitarian Logistics and Supply Chain Management
Dennis Gioia, Kevin Corley, A. Hamilton (2013)
Seeking Qualitative Rigor in Inductive ResearchOrganizational Research Methods, 16
Donald Thatcher (1990)
Promoting Learning through Games and SimulationsSimulation & Gaming, 21
Z. Tacheva, N. Simpson (2019)
Social network analysis in humanitarian logistics research, 9
Timo Gossler, Ioanna Sigala, T. Wakolbinger, R. Buber (2019)
Applying the Delphi method to determine best practices for outsourcing logistics in disaster reliefJournal of Humanitarian Logistics and Supply Chain Management
Susan Spiggle (1994)
Analysis and Interpretation of Qualitative Data in Consumer ResearchJournal of Consumer Research, 21
M. Sohn (2018)
So Much of Research Is Context: Fieldwork Experience in Humanitarian Logistics
Yasmine Sabri, M. Zarei, C. Harland (2019)
Using collaborative research methodologies in humanitarian supply chainsJournal of Humanitarian Logistics and Supply Chain Management
Shivam Gupta, N. Altay, Zongwei Luo (2019)
Big data in humanitarian supply chain management: a review and further research directionsAnnals of Operations Research, 283
H. Lukosch, T. Comes (2019)
Gaming as a research method in humanitarian logistics, 9
Tunca Tabaklar, Á. Halldórsson, G. Kovács, K. Spens (2015)
Borrowing theories in humanitarian supply chain management, 5
Organizational Research Methods, 16
Mohammad Moshtari (2016)
Inter‐Organizational Fit, Relationship Management Capability, and Collaborative Performance within a Humanitarian SettingProduction and Operations Management, 25
Stefan Aengenheyster, K. Cuhls, L. Gerhold, Maria Heiskanen-Schüttler, Jana Huck, Monika Muszynska (2017)
Real-Time Delphi in practice — A comparative analysis of existing software-based toolsTechnological Forecasting and Social Change, 118
N. Kunz (2019)
An automated quantitative content analysis process for humanitarian logistics research, 9
B. Khoury (2019)
Logistics data analytics alongside voucher programme phases, 9
F. Hasson, S. Keeney (2011)
Enhancing rigour in the Delphi technique researchTechnological Forecasting and Social Change, 78
J. Fry (2006)
Scholarly research and information practices: a domain analytic approachInf. Process. Manag., 42
M. Shubik (1989)
GamingSimulation & Gaming, 20
Yasmine Sabri (2018)
Deploying Collaborative Management Research Approaches in Humanitarian Supply Chains: An Overview and Research Agenda
D. Campbell (2017)
Ethnocentrism of Disciplines and the Fish-Scale Model of Omniscience
G. Kovács, Mohammad Moshtari (2019)
A roadmap for higher research quality in humanitarian operations: A methodological perspectiveEur. J. Oper. Res., 276
Diego Vega (2018)
Case studies in humanitarian logistics researchJournal of Humanitarian Logistics and Supply Chain Management
R. Oloruntoba, R. Banomyong (2018)
Humanitarian logistics research for the care of refugees and internally displaced personsJournal of Humanitarian Logistics and Supply Chain Management
N. Kunz, L. Wassenhove, M. Besiou, Christophe Hambye, G. Kovács (2017)
Relevance of humanitarian logistics research: Best practices and way forwardInternational Journal of Operations & Production Management, 37
D. Stokols (2006)
Toward a Science of Transdisciplinary Action ResearchAmerican Journal of Community Psychology, 38
M. Starr, L. Wassenhove (2014)
Introduction to the Special Issue on Humanitarian Operations and Crisis ManagementProduction and Operations Management, 23
N. Kunz, G. Reiner (2012)
A meta‐analysis of humanitarian logistics research, 2
Guest editorial Guest editorial 1. Research methods in humanitarian logistics 1.1 Background and introduction Research in humanitarian logistics is maturing, and numerous calls have been made for not only empirical research, but also mixed methods in humanitarian logistics and operations research. Currently, mixed methods are not used and empirical evidence in publications is scant, thereby undermining both the rigor and the relevance of humanitarian logistics research. There is no shortage of ideas, however – 43 review articles alone could be found in the last decade (see Kovács and Moshtari, 2019 for a meta-analysis of these). Conceptual papers and studies on models, which are based on assumptions and tested by hypothetical data, are abundant. To increase the quality of research (i.e. relevance and method rigor), scholars have suggested a number of strategies. These include reaching out to humanitarian organisations and formulating research questions (Kunz et al., 2017), using real and field data (e.g. Gupta et al., 2017), understanding the pros and cons of research methods in humanitarian logistics, matching the methods and research questions in humanitarian logistics (Kovács et al., 2018), taking a complementarity view on the different types of methods (i.e. explorative, theory building, theory testing and analytical modelling),
Journal of Humanitarian Logistics and Supply Chain Management – Emerald Publishing
Published: Dec 10, 2019
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