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Design-for-variety (DFV) practices aim to help manufacturers to manage and mitigate the negative impact of product variety on operational performance. Theory suggests that designing products according to DFV practices increases operational performance by allowing more efficient processing of products, capitalizing on commonalities and by supporting cross-functional and cross-boundary coordination through simplifying product designs. The purpose of this paper is to investigate the latter proposition, and especially the mediating role of internal, supplier and customer integration in the relationship between DFV and operational performance.

Data collected in 2014 among 702 manufacturers from 22 countries as part of the 6th International Manufacturing Strategy Survey are analyzed through mediated regression analysis using SPSS 25, AMOS and PROCESS v3.1 software.

DFV affects cost/speed, quality, delivery, flexibility and service performance positively. Except for the role of customer integration in the DFV-cost/speed relationship, internal, supplier and customer integration partially mediate the relationship between DFV and operational performance.

In addition to allowing a more efficient processing of products, the positive effect of DFV on performance is also explained by the fact that DFV practices support cross-functional and supply chain integration. These practices allow manufacturers to create a set of design rules easily understood and communicated within and across organizational boundaries.

While previous research tends to consider one DFV practice and limited sets of integration mechanisms and performance dimensions, this paper consolidates the most common DFV practices into one construct and encompasses the three forms of integration and six performance dimensions dominating the DFV literature.

The purpose of this paper is to identify similarities and differences between qualitative-based and quantitative-based research, and to present recommendations for designing and conducting the research so that the possibilities of publishing it in leading Operations Management (OM) journals are improved.

The paper takes its outset in contributions made at the 2016 European Operations Management Association Young Scholars Workshop. The theme of the workshop was “Designing and developing research projects in Operations Management – from concept to publication.” Taking the perspectives of the case researcher, the survey researcher and the editor/reviewer, the authors present and discuss the views on and experiences with designing research for publication.

The authors identify a number of recommendations that researchers should use when designing, conducting, and presenting their research for publication. The recommendations include the need to clearly and concisely establish relevance, account for choice of methodology as well as the operationalization, sampling, analytical, and validation methods used, and demonstrate the contribution of the paper in the discussion section. Furthermore, the authors draw attention to the importance of developing a publication strategy as early as possible. Other important aspects include the title of the paper, keywords selection, and rejection criteria. Finally, the authors stress the importance of “total quality management” in designing and executing OM research.

Going beyond the standard author guidelines found at journal web sites, the authors present a collection of viewpoints, which are based on the authors’ experiences as reviewers, editors, and evaluators of OM research projects and their designs.

The purpose of this paper is to investigate the impact of internal integration, external integration (EI), and supply chain risk management (SCRM) on manufacturing flexibility, and the moderating effect of SCRM on the relationships between internal and EI, respectively, and manufacturing flexibility.

Using hierarchical regression, data are analyzed from a sample of 343 manufacturing plants in Asia collected in 2013-2014 as part of the International Manufacturing Strategy Survey (IMSS VI).

Internal integration and SCRM have a direct effect on manufacturing flexibility. SCRM moderates the relationship between EI and flexibility.

Further research is needed to generalize beyond the flexibility performance of discrete manufacturing firms in Asia.

To benefit from EI and increase their flexibility performance, manufacturing firms need to implement different mechanisms of SCRM to prevent and deal with supply chain risks including those associated with supply chain integration.

This research contributes to the body of knowledge on the relationships between internal integration, EI, SCRM, and manufacturing flexibility.

Based on the combined experiences of operations and supply chain management (O&SCM) scholars and a reflective practitioner, the paper compares, contrasts and reconciles the competences needed to research O&SCM practice and to practice O&SCM research. The purpose of this paper is to locate these competences for young faculty in relation to their ambitions and career choices.

The paper is based upon the contributions made at European Operations Management Association 2014 Young Scholars Workshop (YSW). The theme and programme of the workshop was “Operations management – research and practice”.

The paper outlines first the concept of the YSW, the evolution of themes and the specific focus of the 2014 workshop. It concludes with a reflection on the career development of O&SCM scholars, their potential role, as academics or practitioners, in the development of O&SCM theory and practice, and the role of collaborative research in that development.

This paper shows what it takes for O&SCM researchers to engage with “the world around us” involves and, vice versa, how “doctorate” OM and SCM practitioners may successfully solve practical problems and engage with the O&SCM world surrounding them in doing so.

The paper presents a collection of viewpoints of O&SCM scholars and a reflective practitioner on the competences needed to research OM practice and to practice OM research.

Many firms today operate international manufacturing networks (IMN) of plants, which may serve different purposes and have different levels of competences. This diversity influences the effectiveness of different manufacturing practices, which has not yet been explored in the literature. The purpose of this paper is to investigate the relationship between plant role and the “goodness” of its manufacturing practices.

Data are used from a sample of 471 plants from the sixth edition of the International Manufacturing Strategy Survey.

The findings show that plants with higher competences use more practices successfully than less competent plants. Furthermore, more competent plants tend to strengthen their differentiation performance, while less competent plants focus on and achieve cost performance improvements instead.

The associations between plant role, manufacturing practices and performance provide important input for the global design of a firm’s IMN as a whole, and the development of local plants within the network.

The “goodness” of manufacturing practices has not been investigated in the plant role literature; the effect of plant role on the “goodness” of manufacturing practices has not been studied in the OM contingency literature. This paper shows that while the role of a plant in a firm’s IMN hardly affects the efforts it puts into implementing different manufacturing practices, it has an important moderating influence on the performance implications of these practices.

The study aims to test the success of university-industry (U-I) collaboration in terms of innovation process efficiency. Then, this study explores the moderating role of a set of organizational routines in the U-I relationship, which can help in overcoming the issues undermining the collaboration success.

The study is based on an international Open Innovation (OI) survey. The survey investigated the items to build the main variables of the conceptual framework, measured through seven-point Likert scales. Steps to ensure the reliability and validity of the variables were conducted. Then, hypotheses were tested with an ordinary least squares regression.

Results show that the higher the collaboration intensity (depth) with universities, the higher the innovation process efficiency. Furthermore, organizational routines aimed at improving firms' assimilation absorptive capacity further strengthen the positive effects of intensive collaboration on innovation process efficiency.

Findings indicate that R&D managers should strive to build deep collaborations with universities to enhance process efficiency and invest in the quality of these relationships. Managers should create and maintain an internal environment that further enhances the positive effects of intensive collaboration on innovation process efficiency.

The OI literature has not reached a shared view on the positive contribution of universities toward industrial firms' innovation performance. The study adopts a process-efficiency view, rarely used by other OI studies usually focused on output indicators; this study unpacks, respectively, the role of the intensity of collaboration and the organizational routines, thus disclosing the benefit of U-I collaboration on innovation efficiency.

This study investigates the relationships between environmental performance feedback and green supply chain management (GSCM). It explores how environmental performance above or below aspirations affects the implementation of GSCM practices (specifically sustainable production [SP] and sustainable sourcing [SS]) through the lens of the behavioral theory of the firm (BTOF), which has received scant attention in the operations management literature.

The study used data from the sixth round of the International Manufacturing Strategy Survey (IMSS). It employed hierarchical linear regression to test the proposed hypotheses. Moreover, the study tested an alternate model to rule out the possible role of financial performance aspirations in explaining the implementation of SP and SS.

The results indicate that organizations determine their efforts put into the two GSCM practices according to environmental performance feedback: the greater the aspiration–environmental performance discrepancy, the stronger the efforts put into implementing GSCM practices.

This study contributes to the GSCM literature by revealing the impact of environmental performance aspirations on the implementation of GSCM practices through the lens of the BTOF. It also extends the BTOF by applying it in the GSCM context and indicating that performance feedback is based on environmental performance instead of financial performance in this specific context.

The aim of this study is to investigate the effects of soft and hard quality management (QM) practices on innovation performance, considering innovation practices as a contextual variable mediating this relationship.

Using data from 132 Brazilian manufacturing companies, partial least square–structural equation modeling (PLS–SEM) is employed to test if soft and hard QM practices, directly, affect innovation practices and, indirectly, innovation performance. This investigation also aims to identify whether the relationships are maintained regardless of the size of the company.

The results suggest that soft QM has a positive effect on hard QM. However, only soft QM, not hard QM, has a significant effect on innovation practices. Additionally, soft QM has a significant positive effect on innovation performance through innovation practices. Company size does not influence the relationships.

The findings can help managers to adjust their managerial practices to enhance the effective impact of QM on innovation performance.

The previous literature presents conflicting results on the relationship between QM and innovation performance. Most studies have proposed a direct relationship between both constructs. This study considers innovation practices as a mediator in this relationship. Furthermore, this paper adds to the scarce literature reporting related studies conducted in developing countries.

Many factors have been identified that may drive a firm’s decision to offshore production activities. The actual performance effects of offshoring, however, depend on the extent to which these drivers are realized. Furthermore, the question is how risk management helps mitigating the risk involved in offshoring ventures, thus leading to better performance outcomes. The purpose of this study is to investigate the extent to which realized offshoring drivers and risk management mediate the relationship between offshoring experience and firm performance.

Data from the Global Operations Networks project, a cross-sectional survey administered in Denmark and Sweden, are used to test two hypotheses on the mediating role of realized offshoring drivers and risk management in the relationship between offshoring experience and firm performance. AMOS version 23 is used to perform the analyses.

The results demonstrate that realized offshoring drivers fully mediate the relationship between offshoring experience and firm performance. However, risk management does not mediate the relationship between offshoring experience and firm performance.

This study develops new theory on, and managerial insight into, the mediating role of realized offshoring drivers and risk management in the relationship between offshoring experience and firm performance.