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Several approaches to the widely recognized challenge of managing product variety rely on the pooling effect. Pooling can be accomplished through the reduction of the number of products or stock-keeping units (SKUs), through postponement of differentiation, or in other ways. These approaches are well known and becoming widely applied in practice. However, theoretical analyses of the pooling effect assume an optimal inventory policy before pooling and after pooling, and, in most cases, that demand is normally distributed. In this article, we address the effect of nonoptimal inventory policies and the effect of nonnormally distributed demand on the value of pooling. First, we show that there is always a range of current inventory levels within which pooling is better and beyond which optimizing inventory policy is better. We also find that the value of pooling may be negative when the inventory policy in use is suboptimal. Second, we use extensive Monte Carlo simulation to examine the value of pooling for nonnormal demand distributions. We find that the value of pooling varies relatively little across the distributions we used, but that it varies considerably with the concentration of uncertainty. We also find that the ranges within which pooling is preferred over optimizing inventory policy generally are quite wide but vary considerably across distributions. Together, this indicates that the value of pooling under an optimal inventory policy is robust across distributions, but that its sensitivity to suboptimal policies is not. Third, we use a set of real (and highly erratic) demand data to analyze the benefits of pooling under optimal and suboptimal policies and nonnormal demand with a high number of SKUs. With our specific but highly nonnormal demand data, we find that pooling is beneficial and robust to suboptimal policies. Altogether, this study provides deeper theoretical, numerical, and empirical understanding of the value of pooling.

The increasing importance of food safety has made traceability a crucial issue in the agribusiness industry. In this article, we have analysed the factors that shape the buyer-supplier relationships, and how they influence the traceability of raw materials. In order to do so, first, we have made a literature review to develop an analytical framework. Next, we have carried out four case studies on vegetable firms with the purpose of uncovering the variables that characterise buyer-supplier relationships, and its influence on traceability in this sector. Finally, we have compared the observed links with the conceptual framework derived from the literature in order to build and improved model.

Purpose The purpose of this paper is to examine the relationship between the use of open innovation (OI) practices and firm performance, and the role of organizational mechanisms (OMs) (formalization and decentralization) as moderator variables. Design/methodology/approach The authors build a theoretical framework to define a set of hypotheses that are then verified in an empirical study. These theoretical propositions are tested by using the data gathered from a survey addressed to 244 firms in Spanish low- and medium-technology industries. Findings With regard to inbound practices, the practices oriented to cooperate with partners in a R&D context have a positive influence. The results show that outbound practices, either by direct generation of revenues from licensing payments or, more indirectly, through the indirect marketing and technical benefits that can stem from revealing have a positive effect on firm performance. Coupled practices, which are related to participation in clusters and innovation networks, have the highest impact on firm performance. In the industrial context examined, decentralization exerts a positive effect which enhances the effect of outbound practices meanwhile formalization reduces their positive effect. Practical implications This study helps practitioners in low- and medium-technology firms to determine which OI practices are most beneficial to firm performance and how formalization and decentralization can influence the relationship between OI and firm performance. Originality/value This study helps determine the influence of OI practices in terms of inbound, outbound and coupled types through an analysis of low- and medium-technology firms. The OI literature is enriched by the types herein of the role of OMs, which includes an analysis of how formalization and decentralization moderate the influence of OI practices on firm performance.

Purpose The purpose of this paper is to show how 3D digital technology can bring value to the fashion industry by analysing the specific benefits it offers along the value chain. Additionally, the authors show some of the challenges ahead identified for both software and fashion firms. Design/methodology/approach The authors present by means of a case study the experience of an haute couture designer who used 3D digital technology – in collaboration with a recognised 3D software company – for developing his first luxury footwear collection. Findings The enhancement of creativity and a better communication with suppliers are just some of the benefits identified in the case study from the use of 3D digital technology. In addition, challenges such as the development of a digital culture or the need for technology simplification are drawn from the case. Practical implications Apart from the benefits and challenges drawn from the case study, which can be useful to practitioners in this industry, the authors also identify the collaboration through which the experience took place as an interesting practice to implement as a previous step of a digital transformation strategy. Originality/value Despite the growing interest the fashion industry is showing in the use of new digital technologies, academic research on this topic is still scarce. Therefore, the case study presented in this paper adds value to the literature showing how 3D technology can help fashion from concept to consumer.

Although it was first developed in the field of psychology, action research is a methodology of growing importance in business and management contexts. In this research article, we focus on a significant aspect of action research: the variety of methodologies that can be used jointly in an action research study and its relationships. More specifically, the aim of this study is to underscore the definition of action research as a meta-methodology that encompasses different ways of carrying out empirical research. To this end, we perform a meta-analysis of articles discussing empirical research that used an action research methodology. The meta-analysis is based on a systematic review of articles published between 2000 and 2018. The main findings suggest that action research may be regarded as a multidisciplinary method and that it can be implemented jointly with other methodologies; not just qualitative methods but also quantitative research. Consequently, action research may now be defined as a meta-methodology or an umbrella process. In this way, action research is a tool whose implementation ought to be promoted in the business/management field as a way of enhancing relevant, rigorous empirical studies and serving as a framework reference in projects based on research and practice contribution as well as active collaboration between researchers and practitioners.

This research identifies Action Research as a methodology that can play an important role in enhancing the contribution of universities to the improvement of business competitiveness through Operations Management research. We propose that a Business Chair, defined as an agreement between a university and a business organization, can be a useful tool in research projects based on Action Research methodology. We analyze a set of Business Chairs in the field of Operations Management in Spanish universities. We draw up a set of research questions aiming to determine the degree to which Action Research methodology is used in the Chairs analyzed, and to define the key factors for the successful implementation of Action Research projects.