1,720,967 research outputs found

    HOW MANAGERS PERCEIVE AND ASSESS SUPPLY CHAIN RISKS? EMPIRICAL RESULTS FROM A SAMPLE OF EUROPEAN ORGANIZATIONS

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    The purpose of this article is to investigate the process of supply chain risk assessment as practiced by managers. The study proposes a model of supply chain risk assessment, based on the investigation of how risk owners perceive risk and assessment different risk categories and risk drivers. Finally, the paper explores what risk assessment techniques are used. This research is followed by a preliminary and exploratory empirical investigation. The research shows that supply chain managers generally view risks as under-performance, investigating the relationship between supply chain risks, other risks categories, and the (limited) use of risk drivers in assessing supply chain risks. Finally, we found that qualitative risk assessment methods are more used than quantitative methods. This research contributes the limited literature on empirical testing of supply chain risk management practices. However, this research is exploratory in nature and is based on limited (though diverse) sample from Europe. There is an opportunity to test the model in different countries and with larger sample sizes. There is an opportunity for managers to understand how risk could be leveraged for long term gains in a supply chain context, how to rely on a mix of qualitative and quantitative tools, and understand how different managers assign importance to different types of risk. This is one of the few empirically - driven studies on risk management, specifically on supply chain risks and related risk drivers

    A Computer-Based Simulation Investigation of Environment-Strategy Fit for Risk Management in Global Supply Chains

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    The purpose of this dissertation is to examine the phenomenon of risk management in global supply chains. Drawing from logistics, supply chain management, operations management, economics, international business, and strategy literatures and a qualitative study, a comprehensive conceptual model of environment-strategy fit for risk management in global supply chains was developed. External environmental conditions comprising of supply and demand risks, four risk management strategies, namely hedging, assuming, postponement, and speculation, and a moderator in the form of a port disruption were chosen for further investigation. The model was quantitatively tested using a simulation. The findings from this dissertation study reflect mixed results. Findings that conform to existing research, primarily related to hedging and speculation strategies, provide empirical support for extant knowledge that is primarily conceptual or experience-based. On the other hand, findings that are contrary to existing knowledge or are supported under very select conditions, primarily related to assuming and postponement strategies, provide interesting new insights into the phenomenon. The findings add to both theoretical and practical understanding of the phenomenon. This research opens up several new research directions that indicate that continued research is needed to facilitate both theoretical and empirical progress in better understanding of risk management in global supply chains

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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