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The purpose of this paper is to critically evaluate the state of the art of applications of organisational systematics and manufacturing cladistics in terms of strengths and weaknesses and introduce new generic cladistic and hierarchical classifications of discrete manufacturing systems. These classifications are the basis for a practical web-based expert system and diagnostic benchmarking tool.

There were two stages for the research methods, with eight re-iterative steps: one for theory building, using secondary and observational data, producing conceptual classifications; the second stage for theory testing and theory development, using quantitative data from 153 companies and 510 manufacturing systems, producing the final factual cladogram. Evolutionary relationships between 53 candidate manufacturing systems, using 13 characters with 84 states, are hypothesised and presented diagrammatically. The manufacturing systems are also organised in a hierarchical classification with 13 genera, 6 families and 3 orders under one class of discrete manufacturing.

This work addressed several weaknesses of current manufacturing cladistic classifications which include the lack of an explicit out-group comparison, limited conceptual cladogram development, limited use of characters and that previous classifications are specific to sectors. In order to correct these limitations, the paper first expands on previous work by producing a more generic manufacturing system classification. Second, it describes a novel web-based expert system for the practical application of the discrete manufacturing system.

The classifications form the basis for a practical web-based expert system and diagnostic benchmarking tool, but also have a novel use in an educational context as it simplifies and relationally organises extant manufacturing system knowledge.

The research employed a novel re-iterative methodology for both theory building, using observational data, producing the conceptual classification, and through theory testing developing the final factual cladogram that forms the basis for the practical web-based expert system and diagnostic tool.

The purpose of this paper is to consolidate the servitization knowledge base from an organizational change perspective, identifying developed, developing and undeveloped topics to provide a platform that directs future research.

This paper addresses three objectives: it comprehensively examines organizational change management literature for selection of a theoretical framework; it classifies extant studies within the framework through a systemic literature review; and it analyses 232 selected papers and proposes a research agenda.

Analysis suggests increasing global awareness of the importance of services to manufacturers. However, some topics, especially related to servitization transformation, remain undeveloped.

Although the authors tried to include all publications relevant to servitization, some might not have been captured. Evaluation and interpretation relied on the research team and subsequent research workshops.

One of the most significant challenges for practitioners of servitization is how to transform a manufacturing organization to exploit the opportunity. This paper consolidates literature regarding servitization, identifying progress concerning key research topics and contributing a platform for future research. The goal is to inform research to result eventually in a roadmap for practitioners seeking to servitize.

Although extant reviews of servitization identify themes that are examined well, they struggle to identify unanswered questions. This paper addresses this gap by focusing on servitization as a process of organizational change.

The pulsed-laser powder bed fusion (PBF) process is an additive manufacturing technology that uses a laser with pulsed beam to melt metal powder. In this case, stainless steel SS316L alloy is used to produce complex components. To produce components with acceptable mechanical performance requires a comprehensive understanding of process parameters and their interactions. This study aims to understand the influence of process parameters on reducing porosity and increasing part density.

The response surface method (RSM) is used to investigate the impact of changing critical parameters on the density of parts manufactured. Parameters considered include: point distance, exposure time, hatching distance and layer thickness. Part density was used to identify the most statistically significant parameters, before each parameter was analysed individually.

A clear correlation between the number and shape of pores and the process parameters was identified. Point distance, exposure time and layer thickness were found to significantly affect part density. The interaction between these parameters also critically affected the development of porosity. Finally, a regression model was developed and verified experimentally and used to accurately predict part density.

The study considered a range of selected parameters relevant to the SS316L alloy. These parameters need to be modified for other alloys according to their physical properties.

This study is believed to be the first systematic attempt to use RSM for the design of experiments (DOE) to investigate the effect of process parameters of the pulsed-laser PBF process on the density of the SS316L alloy components.

The purpose of this paper is to explore the evolution of commercial aerospace supply chains.

The approach is presented as evolutionary steps by introduction of key supply chain practices. These steps are brought together by applying cladistics, a classification approach from the biological sciences, to classify the evolutionary relationships between supply chain forms. This is presented in two stages.

Earlier research produced a “conceptual cladogram” from secondary data that describes the evolution of aerospace supply chains. This paper expands on this through empirical validation and develops a “factual cladogram”, revealing a newly emerging supply chain form. Key practices define the change of supply chain forms in the evolutionary adaptation to market realities and to proactive responses to increased competition.

The factual cladogram as such does not necessarily prescribe world‐class performance but may serve as a platform for discussing and monitoring the properties of the emergent supply chain in light of strategies for the future. As such it becomes a strategic bench‐marking tool for the change of practices, technologies and products.

In practical terms, the approach may be developed as a strategic tool for policy development, and a decision support tool through the creation and exploration of future supply chain form scenarios.

Theoretically, this paper elaborates on a framework for how and why evolution produces diversity of supply chain form.

The purpose of this paper is to explore the effects of communicative interaction on meaning construction in three focus group interviews.

Within the framework of cultural‐historical activity theory, Bakhtin's perspectives of communicative interaction was applied to three interview cases on commercial aerospace supply chains.

These interactions are found to self‐organise without the control of any single actor. However, interventions by interviewees or the researcher affect the outcome when they create disturbances that go beyond the resilience of the established perspectives of the focus group community. The researcher's intervention or guidance is helpful in opening up reality perspectives of the community.

Focus group interviews may be difficult to control by the researcher. The potential for gathering rich data may, however, out‐weigh that.

The paper illustrates how focus group interviews enhance the richness of data collection compared to other interview methods.

A decade has passed since Dabic et al. (2015) published a systematic review of the evolution of the expatriate literature from 1970 to 2012. Moreover, the past five years have been turbulent, with many global crises affecting organizational approaches to the global movement of people, particularly expatriate workers. Thus, this article seeks to understand how global mobility has continued to evolve during such turbulence and propose avenues for future research.

In this study, the authors undertook a constructive replication (Köhler and Cortina, 2021) of the systematic literature review conducted by Dabic et al. (2015), informed by guidelines offered by Donthu et al. (2021) for the period 2013 to 2022. The authors conducted a performance analysis of 1,517 academic articles about expatriates and broader globally mobile workers. Additionally, the authors analyzed all expatriate-related special issues published in the past decade and provide a narrative review of seminal works from the past five years.

The expatriation field has grown exponentially; greater attention has been paid to contextualizing research, particularly concerning emerging markets, although the field remains Western-dominant. This analysis stresses the increasingly strategic nature of expatriation at a time when global staffing has become dramatically challenging. Thus, this review highlights the need for more interdisciplinarity at different levels between expatriation and the field of strategy. The authors argue the need for a multifaceted understanding of the expatriation experience.

The authors offer a constructive replication of a bibliometric literature review extended by a narrative analysis to complement a critical perspective on a large set of bibliographic data on the broad subject of expatriation. This addition offers an integrated view of the different themes identified by the bibliometric analysis and paves the way for future replication studies to examine how fields evolve.

This paper continues the analysis of the data collected in a survey of quality function deployment (QFD) carried out in Brazil, and deepens the study by carrying out interviews at some of the companies which participated in the survey to identify best practices on QFD application.

To analyze the data collected in a survey of QFD and interviews, eight exemplary criteria based on the QFD literature were considered. The paper then presents and discusses best practices in QFD application.

The results of analyzing the interviews showed that there were exemplary aspects in the use of the method and the key points in the QFD implementation that should be considered were related to: support from upper management, carrying out training, creating the team, frequency and length of meetings, and creating a conceptual model, among other aspects.

It is important to stress that the importance of some of these exemplary aspects varies with the type of company and the product developed with QFD, and could be less important for other products and industries.

The results showed that there were key points in the QFD implementation that should be considered depending on type of company and the product.

The key points in the QFD implementation identified in this paper may be useful to QFD users and academics.

The purpose of this paper is to address a model for the selection of an appropriate design method of a CIFMS utilizing the ANP within a MIGP model.

The selection process is multi‐goal and has both integer and non‐integer variables which require the use of a MIGP model for optimization.

The results show that the selection of an appropriate design method can greatly decrease the deviation factors from any given company's goals.

The implementation of a CIFMS offers companies many benefits, which enable them to produce high quality products with shorter lead‐time. A CIFMS is not a general software program that can be readily applicable to any given manufacturing company, it is a uniquely designed system specifically tailored to a given company guided by a method. Therefore the most crucial process in developing and implementing an efficient CIFMS is selecting a design method which brings forth a MCDM problem with varied degrees of interdependencies among the decision components.

This paper aims to address the advantage of considering an evolutionary classification scheme for commercial aerospace supply chains. It is an industry wide approach. By going beyond the performance of the single firm and considering the whole supply chain for a product a better understanding of present states and performances of the firms within the chain can be achieved.

The approach is presented as evolutionary steps by introduction of key supply chain characters. These steps are brought together by applying cladistics to classify the evolutionary relationships between supply chain forms.

Key character states define the change of supply chain forms in the evolutionary adaptation to market realities and to proactive responses to increased competition.

The potential benefits of this approach include a benchmark of best practice, a strategic tool for policy development, and the creation of future scenarios.