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This paper aims to explain and demonstrate how the Repertory Grid Technique (RGT) and Honey’s Content Analysis (HCA) can make new contributions to the field of Operations and Supply Chain Management (OSCM). The proposition involves integrating these complementary analyses to fortify the rigor of qualitative research and establish robust data analysis protocols to identify the main attributes of interviewees regarding a phenomenon while understanding in their perspective how these attributes impact the desired analysis outcome.

This study uses examples with rich empirical data from 40 interviewees across two organizations. The examples use a protocol that allows the grouping of meanings from different knowledgeable individuals and capturing relevant constructs related to an outcome.

The combination of RGT and HCA permits researchers to effectively identify and analyze the constructs individuals and groups utilize to comprehend the subject matter under investigation. Consequently, these techniques present a structured means to conduct grounded theory investigations and interpretive research, thereby enabling the iterative development of the preliminary conceptual models necessary for OSCM field advancement.

We present two examples in which the protocol is applied to the field of OSCM. These examples illustrate that the techniques provide valuable opportunities for OSCM research, particularly for addressing the limitations related to sample size. Ultimately, RGT and HCA complement quantitative methodologies by uncovering nuanced variations and micro-foundations within firm- and network-level phenomena, offering insights essential for advancing our understanding of OSCM dynamics in specific contexts.

This study aims to demonstrate a rigorous approach to applying the Repertory Grid Technique (RGT) and Honey’s Content Analysis (HCA) to obtain and process qualitative data through structured interviews.

An illustrative case study using the OpenRepGrid package from the open-source software R facilitates a deeper understanding of these techniques. The study subjects were employees of a corporate charter company.

The RGT enables the identification of key attributes as perceived by interviewees regarding the phenomenon, whereas HCA clarifies how these attributes impact the desired analysis outcome. The presented case study identified constructs related to the client–supplier relationship and their impact on service performance from the provider’s perspective.

This study illustrates the use of qualitative methods based on an interpretative naturalistic approach to rigorously and systematically capture interviewees’ perspectives.

The combination of RGT and HCA can be a valuable tool for management studies by allowing controlled researcher interference in empirical investigations. In addition, the data-driven selection of constructs by interviewees can lead to the emergence of novel theories.

Using diverse methodologies enables researchers to address complex managerial challenges that often surpass the capabilities of conventional analysis methods.

The proposed methodology offers a robust understanding of phenomena from the interviewees’ perspectives. Consequently, this study highlights the potential of these techniques for theoretical and empirical research in the field of administration.