The collaborative research process in this study
| Collaborative project phases | Collaborative research features/Elements |
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| PHASE 1: Forming a collaborative research team of humanitarian logistics practitioners and academics |
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| PHASE 2: Understanding the context and purpose of humanitarian logistics research problem |
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| PHASE 3: Data collection (by academics) |
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| PHASE 4: Practitioner orientation |
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| PHASE 5: Collaborative data analysis |
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| PHASE 6: Joint planning for action |
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| Collaborative project phases | Collaborative research features/Elements |
|---|---|
| PHASE 1: Forming a collaborative research team of humanitarian logistics practitioners and academics | A project team with representative of all sections and supply centers was created and referred to as “MSF team.” Two researchers from the academic team complete the team |
| PHASE 2: Understanding the context and purpose of humanitarian logistics research problem | Co-identification of the rationale and scope: COVID-19 pandemic disruptions and coping mechanisms |
Joint formulation of the purpose of the research, expected outputs, and identification of possible units of analysis | |
Researchers are immersed, embedded in the humanitarian field, and they have access to the practitioner's system | |
To ensure rigor, one of the academics monitors and observes the rigor of the entire research process, nonparticipatory | |
| PHASE 3: Data collection (by academics) | Secondary data: 503 documents, situation reports, mission strategies, taskforces meeting minutes, observations, focus group discussions |
Quantitative data: ERP extractions on mission orders, critical items for the pandemic response, items at risk of a shortage, monthly order status, monthly local procurement per mission, and average monthly local procurement, per mission, from 01/2019 to 08/2020 | |
Qualitative data: 43 interviews, field questionnaire, and Delphi study | |
Triangulation of data collection from multiple sources: MSF documents and website, international COVID-19 situation report, interviews form field teams from multiple locations, and interviews of HQ staff | |
| PHASE 4: Practitioner orientation | Practitioners briefed on research tools and methods |
Academics to prepare and present preliminary analyses | |
The structured data are communicated to the research team and to the practitioners | |
| PHASE 5: Collaborative data analysis | Identifying analysis tools (Excel and NVivo) and techniques by researchers |
Data are collaboratively analyzed by academics and practitioners: Delphi iterations | |
Triangulation by the academics in the analysis phase | |
Establishing a logical chain of evidence by academics | |
| PHASE 6: Joint planning for action | Co-identification of changes to be made and strategies and practices for change management |
Co-developing of recommendations and intervention plans |
Source(s): Adapted from Sabri et al. (2019)