This paper aims to assess the quality of the case study based research approach as documented in articles published during the past 13 years, based on a synthesis of indicators…
This paper aims to assess the quality of the case study based research approach as documented in articles published during the past 13 years, based on a synthesis of indicators for the quality criteria truth‐value, transferability, and traceability.
Content analysis of 134 case study‐based articles published in six leading logistics and supply chain management (SCM) journals between 1998 and 2010 is used to assess and evaluate the quality of the case study‐based research approach as documented in these publications.
This research provides an overview of the quality of the case study‐based research approach. Results show that the quality is generally low, supporting the ongoing, but empirically unsupported criticism on the quality of case study‐based research. The results also highlight which specific aspects authors and reviewers need to address to ensure high quality of the case study‐based research approach in published articles.
This study is limited to the analysis of published articles in six logistics and SCM journals. Further research should investigate different journals in logistics and other disciplines, and the relationship between the rigor of case study based research and its contribution to the field.
The findings give guidance to authors and reviewers in developing articles with a high‐quality case study‐based research approach and help reviewers and readers to evaluate the quality of the described approach.
The paper verifies the validity of ongoing claims for more rigor in case study‐based research and identifies areas of improvement.
The purpose of this paper is to investigate the microfoundations of customer knowledge acquisition during logistics innovation development. Specifically, the authors explore the…
The purpose of this paper is to investigate the microfoundations of customer knowledge acquisition during logistics innovation development. Specifically, the authors explore the activities and behaviors of employees with customer contact (i.e. boundary-spanning employees (BSEs)) to deepen and broaden their knowledge about customers for the development of innovations.
Qualitative research based on multiple semi-structured interviews with BSEs of six logistics service providers was conducted to explore the deepening and broadening of customer knowledge during innovation development. Data were analyzed for similarities and differences in BSEs’ knowledge acquisition and their interactions with customers across six innovations.
Results show that BSEs engage sequentially in deepening and broadening customer knowledge throughout the logistics innovation development process. Yet, the specific sequence depends on the type of innovation developed (customized vs standardized). Customer knowledge tends to be deepened in one-on-one interactions, while knowledge tends to be broadened in interactions with numerous and diverse customer firm members.
In general, this paper contributes to the understanding of the individuals’ behaviors underlying organization-level phenomena, such as logistics service providers’ customer knowledge acquisition.
Findings illustrate that BSEs are well advised to concentrate on either deepening or broadening their customer knowledge in a single stage of the logistics innovation development process but switch between these two knowledge acquisition approaches from stage-to-stage to leverage customer interaction.
By investigating firms’ customer knowledge acquisition at the individual level, this paper addresses the calls in the literature for more research into the microfoundations of organizational phenomena.