Research quality actions
| Transferability (compare External validity) |
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| Credibility (compare Internal validity) |
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| Confirmability (compare Construct validity) |
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| Dependability (compare Reliability) |
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| Transferability (compare External validity) | Stated theoretical aim (theory elaboration), unit of analysis and justification of case study; described logic and criteria applied for case selection to allow analytical generalization To be able to transfer results to different contexts, the food system shortly described. However, some aspects of the informants are not included to allow for anonymity Data on different actors' view and context to enable comparison with other contexts Results presented to knowledgeable researchers to check for transferability Pilot interview with one informant to test interview questions based on guiding framework Conducted cross-actor analysis considering different discontents, interventions and mechanisms |
| Credibility (compare Internal validity) | Explicated the interrelations between key constructs; used different bodies of literature (SCRM, risk governance) to interpret findings Case and informants selected following a structured and purposeful sampling approach Involved multiple informants (representing different actors and perspectives on governance) to compare, contrast and triangulate responses Used a literature-based guiding framework Informants respond similarly to the same problems and mechanisms Investor triangulation: two researchers discussed and judged data and interpretations The raw data (transcripts) put into software (NVIVO) and then coded on different levels (1st, 2nd, 3rd) to connect it with different theoretical categories Presented results to peer researchers (from some and other disciplines) familiar with the studied phenomenon to check and obtain feedback about case analysis |
| Confirmability (compare Construct validity) | Described the method choices and the research design; part of the paper has been through scientific review processes for conference Conducted systematic data collection Details on how the data is collected in the method chapter to assure integrity of results Multiple perspectives and sources of data collected (interviews, presentations, inquires, reports and websites). Primary and secondary data are triangulated and used to augment data Involved multiple respondents (representing different internal perspectives and actors) Interview guide provided Engaged peer researchers to review research protocol and interview guide Gave examples of detailed quotes and first level-coding Engaged researchers from other disciplines familiar with the studied phenomenon to obtain feedback on case analysis and framework development Guiding framework presented to respondents to compare and contrast views Terminology and guiding framework explained to informants to avoid misunderstanding Triangulated data using multiple sources of evidence (interviews, internal presentations, industry reports, websites) to triangulate respondent responses Illustrated the chain of evidence using matrices, tables and figures. Conducted first-, second- and third-level coding and aggregation illustrated in coding tree |
| Dependability (compare Reliability) | The method choices and the research design described Explained data analysis procedures Preliminary results presented at conferences to get input from other researchers Developed a standardized interview guide for data collection across the informants Developed and continuously updated a case study database (including, secondary and archival sources, interview transcriptions, themes, codes and memos) to ensure complete documentation of the data analysis procedure Displayed data in different structures, like coding-tree and tables, to facilitate cross-informants analysis and find pattern Explained interrelations between key concepts (the framework) and triangulated different literature (SCRM, risk governance) |
Source(s): Authors’ own work
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