Product-Service Systems (PSS) terminology is becoming increasingly common across management disciplines. Despite rapid growth in the number of PSS publications, relatively little attention has been dedicated to advancing the theoretical underpinnings required for robust PSS research. This paper aims to address this issue through a twostage systematic review. Initially, we conducted a first-stage 'review of reviews' to set up a broad database for the preliminary understanding of PSS evolution and its theoretical progress. Subsequently, we undertook a second-stage review to explore the use of different theories for developing PSS research. We identify four clusters of theories and illustrate how they underpin ten distinct research themes and a systems approach in PSS. We then construct a framework of five theoretical lenses (identity, competence, efficiency, power and systems) that guide theory development discussion in PSS research. We argue that further research would benefit from adopting a systems approach that explores the interactions in PSS and favors interdisciplinary theory development. More studies on productisation and comparable studies between servitisation and productisation are also encouraged, for example, between industrial and consumer products and between B2B and B2C models.
International audienceWith this study, we update research by Ocasio and Kim (1999) by testing whether the trends that favored the prevalence of CEOs with an operations background in the 1980s and early 1990s continued between 1992 and 2005. Given that supply chain management became a top business priority during this period, we expect a greater prevalence of CEOs with an operations background. This is because, traditionally, executives belonging to the operations function have assumed responsibility for supply chain management issues. Our results, based on a sample of 437 CEOs who lead large-sized U.S. firms in eight industries, provide partial support for the hypothesis that CEOs with a functional background in operations attain higher post-succession performance than CEOs with other functional backgrounds. In addition, we find that the likelihood that newly appointed CEOs have a background in operations is greater in succession events that have taken place more recently and in situations that occurred in the face of poor firm financial performance
PurposeThe purpose of this paper is to share the authors' experiences of using the repertory grid technique in two supply chain management studies. The paper aims to demonstrate how the two studies provided insights into how qualitative techniques such as the repertory grid can be made more rigorous than in the past, and how results can be generated that are inaccessible using quantitative methods.Design/methodology/approachThis paper presents two studies undertaken using the repertory grid technique to illustrate its application in supply chain management research.FindingsThe paper presents insights into supply chain research that otherwise would not have emerged using traditional methods. Both studies derive a comprehensive list of empirical categories of constructs, many of which have not been identified in the extant literature. Moreover, the technique demonstrates that frequently‐mentioned constructs are not necessarily the most important.Research limitations/implicationsThe paper demonstrates how quantitative calculations can strengthen qualitative research. Importantly, from the authors' experience of using the technique the paper details how to focus on demonstrating validity, reliability, and theoretical saturation.Originality/valueIt is the authors' contention that the addition of the repertory grid technique to the toolset of methods used by logistics and supply chain management researchers can only enhance insights and the building of robust theories. Qualitative studies that adopt the technique cannot only provide rich insights, but also counter the common criticism aimed at qualitative research – that of failing to provide clear and transparent accounts of the analysis process and how findings are generated from the data set.
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