Repertory grid technique and Honey’s content analysis: a methodological application to advance qualitative research in OSCM

Ricardo Martins, Janaina Siegler, Jonathan Simões Freitas, Laysse Fernanda Macêdo dos Santos, Marina Bastos Carvalhais Barroso, Roberta de Cássia Macedo
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Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

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重复网格技术和哈尼内容分析:推进职业安全与健康管理定性研究的方法学应用
目的 本文旨在解释和展示重复网格技术(RGT)和霍尼内容分析法(HCA)如何为运营与供应链管理(OSCM)领域做出新的贡献。该命题涉及整合这些互补分析,以加强定性研究的严谨性,并建立稳健的数据分析协议,以确定受访者关于某一现象的主要属性,同时从他们的角度了解这些属性如何影响预期的分析结果。研究结果RGT 和 HCA 的结合使研究人员能够有效地识别和分析个人和群体用来理解调查主题的建构。因此,这些技术为开展基础理论调查和解释性研究提供了一种结构化手段,从而能够反复开发出促进 OSCM 领域发展所需的初步概念模型。这些例子说明,这些技术为 OSCM 研究提供了宝贵的机会,尤其是在解决与样本量相关的限制方面。最终,RGT 和 HCA 通过揭示企业和网络层面现象中的细微变化和微观基础,对定量方法进行了补充,为我们在特定环境中推进对 OSCM 动态的理解提供了重要的见解。
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来源期刊
CiteScore
11.20
自引率
10.40%
发文量
34
期刊介绍: IJPDLM seeks strategically focused, theoretically grounded, empirical and conceptual, quantitative and qualitative, rigorous and relevant, original research studies in logistics, physical distribution and supply chain management operations and associated strategic issues. Quantitatively oriented mathematical and modelling research papers are not suitable for IJPDLM. Desired topics include, but are not limited to: Customer service strategy Omni-channel and multi-channel distribution innovations Order processing and inventory management Implementation of supply chain processes Information and communication technology Sourcing and procurement Risk management and security Personnel recruitment and training Sustainability and environmental Collaboration and integration Global supply chain management and network complexity Information and knowledge management Legal, financial and public policy Retailing, channels and business-to-business management Organizational and human resource development Logistics and SCM education.
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