Now showing 1 - 3 of 3
  • Publication
    Lean and Digitalization—Contradictions or Complements?
    (Springer, 2019)
    Lorenz, Rafael
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    ; ; ;
    Netland, Torbjørn H.
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    Ameri, F.
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    Stecke, K.
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    von Cieminski, G.
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    Kiritsis, D.
    Lean has been the dominant production paradigm for the past few decades. With its focus on reducing complexity, lean suggests to limit the use of digital technologies on the shop floor. Recent advancements in digital technologies, however, promise significant improvements through its ability to manage complexity. This apparent conflict raises the question as to whether these two paradigms—lean and digitalization—contradict or complement each other. Furthermore, there is ambiguity about whether or not firms should excel in lean before investing in digitalization. This paper contributes to this discussion through an empirical investigation of this relationship. It draws on survey data from Swiss manufacturers as well as consecutive interviews with selected firms. The analyses indicate a positive correlation between the digital maturity and the lean maturity of firms. This relationship is discussed from two perspectives: first, how digitalization can support lean and, second, how lean can support digitalization. Furthermore, the different characteristics of companies of different maturities in lean and digitalization are examined. It is concluded that a favorable organizational culture and some specific continuous improvement practices help the mature implementers of lean and digitalization to achieve superior operational performance.
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  • Publication
    Impacting shop floor behavior in the context of pharmaceutical operational excellence programs - a management control perspective
    (Universität St. Gallen, 2022-09-19)
    The management of shop floor behavior plays a critical role for the success of operational improvement programs, which rely on the workers that perform the direct value creation tasks. But what precisely should managers do to influence that behavior constructively? In the corresponding stream of Operational Excellence (OPEX) literature, this question has recently experienced an increase in research interest. For pharmaceutical manufacturers, addressing this question can be considered mission critical for two main reasons. First, OPEX programs are viewed as an antidote for low quality levels in pharmaceutical manufacturing, which are significantly lower compared to other industries. Second, procedural regulation can affect what behaviors are deemed acceptable. This should be accounted for, as OPEX and regulatory compliance can have differing behavioral priorities. The purpose of this dissertation is to provide theoretical and practical guidance for impacting shop floor behavior with pharmaceutical OPEX programs to facilitate balanced and high levels of operational performance. For this purpose, this research draws on literature on OPEX, Management Control (MC) and structuration theory to develop a research model in a first step. A mixed-method approach combining qualitative analysis and quantitative hierarchical linear regression analysis is then applied to empirically study the determinants of shop floor behavior in the context of pharmaceutical OPEX programs. The research findings suggest that the interplay between structural and behavioral determinants of shop floor behavior can lead to unintended consequences that are context dependent. They further suggest that this interplay is not comprehensively accounted for as part of pharmaceutical OPEX programs, since the underlying determinants are typically managed in isolation. Finally, the regression results underline the importance of taking unintended consequences that result from said interplay seriously, suggesting that MC has significant positive and negative moderation effects, which can increase respectively decrease the performance returns from OPEX programs.
  • Publication
    FDA Quality Metrics Research - 3rd Year Report
    ( 2019-12) ; ; ; ;
    Ritz, Marten
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    Calnan, Nuala
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    Basu, Prabir
    This report presents the findings from three years of Quality Metrics Research and builds on seminal outcomes from earlier operations and quality management research, e.g. Voss et al. (Voss, Blackmon, Hanson, & Oak, 1995), Ferdows and De Meyer (Ferdows & De Meyer, 1990), Deming (Deming, 1986). The work undertaken in year 3 has deepened the insights and enhanced the models developed in the first two years of Quality Metrics Research by the University of St.Gallen (Friedli, Köhler, Buess, Basu, & Calnan, 2017, 2018). The following main results are highlighted below and are further described in more detail in this report in the relevant chapters noted.