Reflections on replication in OM research and this special issue

Frohlich, Markham T.; Dixon, Jack

doi:10.1016/j.jom.2005.11.001

Cited by 22 publications

(26 citation statements)

References 4 publications

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“…Business and management disciplines, in general, suffer from lack of research that replicates and builds on the previous research leading to incremental verification and development of robust theories (Hubbard 1996;Hubbard, Vetter, and Little 1998;Eden 2002;Tsikriktsis 2004). The position is arguably more acute in the operations and SCM disciplines (Frohlich and Dixon 2006). Systematic replication of previous research studies is indispensable in the scientific process because it offers protection against uncritical assimilation of erroneous empirical results (Hubbard 1996), and it is a critical ingredient of meta-analysis, which is an important step in the systematic evaluation of the body of empirical evidence (Eden 2002).…”

Section: Lack Of Replication Researchmentioning

confidence: 99%

Developing green supply chain management taxonomy-based decision support system

Kumar

Holt

Ghobadian

et al. 2014

International Journal of Production Research

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Disclaimer UWE has obtained warranties from all depositors as to their title in the material deposited and as to their right to deposit such material. UWE makes no representation or warranties of commercial utility, title, or fitness for a particular purpose or any other warranty, express or implied in respect of any material deposited.UWE makes no representation that the use of the materials will not infringe any patent, copyright, trademark or other property or proprietary rights.UWE accepts no liability for any infringement of intellectual property rights in any material deposited but will remove such material from public view pending investigation in the event of an allegation of any such infringement. ABSTRACTThe aim of this paper is to develop a comprehensive taxonomy of green supply chain management (GSCM) practices and develop a structural equation modelling (SEM) driven decision support system following GSCM taxonomy for managers to provide better understanding of the complex relationship between the external and internal factors and GSCM operational practices. Typology and/or taxonomy play a key role in the development of social science theories. The current taxonomies focus on a single or limited component of the supply chain. Furthermore, they have not been tested using different sample compositions and contexts. In this paper, we empirically replicate Murphy, Poist, and Braunschwieg's (1996) study, as replication is a prerequisite for developing robust concepts and theories. More importantly, we go beyond their study by (a) developing broad (containing the key components of supply chain) taxonomy; (b) broadening the sample by including a wider range of sectors and organisational size; and (c) broadening the geographic scope of the previous studies. Moreover, we include both objective measures and subjective attitudinal measurements. We use a robust two-stage cluster analysis to develop our GSCM taxonomy. The main finding validates the taxonomy proposed by Murphy, Poist, and Braunschwieg (1996) and identifies size, attitude, and level of environmental risk and impact as key mediators between internal drivers, external drivers, and GSCM operational practices.

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Section: Lack Of Replication Researchmentioning

confidence: 99%

Developing green supply chain management taxonomy-based decision support system

Kumar

Holt

Ghobadian

et al. 2014

International Journal of Production Research

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“…Zhao et al (2006) argue that replication and verification remain an important element in taxonomic research. Whilst there are a number of replication strategies in existence, including the work of Frohlich and Dixon (2006), one of the most common generic strategies is "generalisability replication" -in that it replicates an existing model using a new dataset in a different country and setting. Miller and Roth (1994) used cluster analysis on the data from 188 North American manufacturing units in 1987 to identify three manufacturing strategic typescaretakers, marketeers and innovators.…”

Section: Replicationmentioning

confidence: 99%

A taxonomy of manufacturing strategies in manufacturing companies in Ireland

Grant

Cadden

McIvor

et al. 2013

Journal of Manufacturing Technology Management

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Purpose -The purpose of this paper is to replicate the taxonomic study of Miller and Roth and to validate its applicability in a small newly industrialised country. Design/methodology/approach -An empirical survey of manufacturing companies in Ireland was conducted using a research instrument that replicated the questions asked in the original 1994 study. Data was collected using mail questionnaires posted to 874 manufacturers. A total of 199 respondents were used for this study. The study tested two central hypotheses using advanced statistical data analysis techniques, such as canonical discriminant analysis. Findings -The results of the research identified three clustered strategic groups (Best Value, Budget and Multi Focus) which were different from those of Miller and Roth: caretakers, marketeers and innovators. The study supported the dynamic nature of manufacturing strategy, and shows how new manufacturing strategies evolve over time and differ between regions. Research limitations/implications -Further research should replicate this study in other small newly industrialised countries. Given the recently changed nature of the economy within Ireland, a longitudinal study would provide useful insights into the dynamics of manufacturing capabilities. Practical implications -The study provides important insights into manufacturing strategy within a small newly industrialised country. The results suggest that manufacturing strategies appear to change depending on the country of plant location. The manufacturing strategies may be attributed to the unique business environment, challenges and constraints of the country. Originality/value -There is a scarcity of taxonomy studies in general, and there is a dearth of such studies in small newly industrialised countries such as Ireland. Through identifying a new taxonomy the study contributes to the existing literature on manufacturing strategy, and challenges the global applicability of taxonomies developed in the USA.

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“…Researchers have little incentive to replicate the results of previous studies because reviewers, editors, and readers are biased to the new and the novel (e.g., Duvendack, Palmer‐Jones, & Reed, 2017; Frohlich & Dixon, 2006). Worse, this novelty bias also provides incentives to engage in questionable research practices (e.g., Aguinis, Ramani, & Alabduljader, 2018; Bishop, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…It is not about a lack of replication studies—studies conducted explicitly to determine the validity of previously published results (Duvendack et al, 2017). Replication studies are a part of the verification process, and replications remain extraordinarily rare in the operations and supply chain management (OSCM) discipline (Brandon‐Jones, 2017) more than a decade after Frohlich and Dixon (2006) indicated that for us to progress we needed to replicate “nearly everything.” Therefore, OSCM like most scientific disciplines could be described as having a replication crisis.…”

Section: Introductionmentioning

confidence: 99%

Replication without repeating ourselves: Addressing the replication crisis in operations and supply chain management research

Pagell

2020

J of Ops Management

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Operations and supply chain management (OSCM) scholars have generally not engaged in the robust discourse over the extent and implications of science's replication crisis, perhaps because replication studies remain exceedingly rare in the discipline. In this manuscript, I encourage more replications. However, I also assume that such studies will remain rare. Therefore, it is argued that the replication crisis in OSCM can be partially addressed by conducting theory testing and refining research in a more systematic fashion that acknowledges researchers' and journals' incentives to publish new knowledge, while also efficiently helping to ensure that the foundations of that new knowledge are generalizable and not based on idiosyncratic, spurious, or questionable findings. Hence, I focus on ways to conduct a replication within a larger theory testing or refining study in a manner that makes it possible to explain the results, even if they differ from past research. This is achieved via enhanced transparency, designing research to include tests of nomological validity and account for the possibility that the results will not replicate, and more careful consideration of controls. The payoff from this investment in designing replication logic into theory testing and refining research would be that in the course of conducting normal science, we would be able to make much stronger claims about the veracity of our theories, facts, and predictions.

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Reflections on replication in OM research and this special issue

Cited by 22 publications

References 4 publications

Developing green supply chain management taxonomy-based decision support system

Developing green supply chain management taxonomy-based decision support system

A taxonomy of manufacturing strategies in manufacturing companies in Ireland

Replication without repeating ourselves: Addressing the replication crisis in operations and supply chain management research

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