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Knowledge Management in High Risk Industries: Coping with Skills Drain PDF

142 Pages·2020·2.018 MB·English
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Knowledge Management in High Risk Industries Coping with Skills Drain Philippe Fauquet-Alekhine Knowledge Management in High Risk Industries Philippe Fauquet-Alekhine Knowledge Management in High Risk Industries Coping with Skills Drain Philippe Fauquet-Alekhine INTRA Robotics Avoine, France ISBN 978-3-030-49212-0 ISBN 978-3-030-49213-7 (eBook) https://doi.org/10.1007/978-3-030-49213-7 © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Cover illustration: © Harvey Loake This Palgrave Macmillan imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland F oreword This book presents a new method to train personnel in high-tech, high-risk industries. The method has proven its efficiency, with meas- urable results, and is explained here in sufficient pedagogic detail to be applied in various situations. The method is fit, more efficient and realistic. It is well-fit to each specific case because it feeds on detailed empirical evidence from the very contexts where it will be applied. It is efficient than current meth- ods because it gathers the expert knowledge and know-how with a new, more faithful and more detailed technique, using first-person video cap- ture and analysis (Subjective Evidence-Based Ethnography). Finally, it is realistic because it takes into account the actual constraints of training in high-risk industries, including informal know-how, rare events, team- work, shifts, simulator planning, etc. Indeed, the author is not only a brilliant scholar (with two PhDs) but also a seasoned practitioner who has been in charge of designing, running and evaluating training systems (including full-scale simulators) in the nuclear industry for many years. This is a rare and powerful combination, and the author, in sympathy with users, made the book short and clear. The models used combine the best theories of four different tradi- tions: French ergonomics, Russian activity theory, Californian distributed cognition and Japanese knowledge management (of which the author v vi FOREWORD also provides a digest for those unfamiliar). The method is illustrated with actual applications. Well-designed tables and graphs provide power- ful aids to the reader. In short, a book that will be very useful for practitioners, experts and academics. Professor S. Lahlou Director at the Institute for Advanced Study Paris, France Chair of Psychology, Department of Psychological & Behavioural Science London School of Economics London, UK Acknowledgements The author thanks Electricité de France for financial support. The author thanks, for fruitful exchanges, the members of the Institute of Social Psychology, of the Department of Psychological & Behavioural Science and of the SEBE-Lab (London School of Economics & Political Science), especially Professor S. Lahlou and Professor M. Bauer. The author also thanks Professor Yuri I. Aleksandrov (Higher School of Economics, Faculty of Social Sciences, School of Psychology, Moscow, Russia) and Professor Granry (Hospital University of Angers, France) for collaboration and relevant advice. A t b bout his ook Dealing with the social phenomenon of the “skills drain”, retired work- ers leaving companies en masse sometimes even before the recruitment of newcomers and consequently impeding classic training through men- toring, managers are seeking innovative solutions to train new employ- ees and ensure a satisfactory level of competencies, especially in high-risk industries. This led to questions to which the present book aims at offering solutions: What should be transferred from experienced work- ers to novices through training in the current social context of deteri- orated mentoring within complex socio-technical systems? How to select what should be transferred? How to access experienced workers’ competencies? Based on a solid literature review and experiments, two innovative val- idated models are presented: • the Knowledge–Know-How–Skills model (KKHS model) which helps to clarify how competencies are elaborated and what can be transferred, • the Square of PErceived ACtion model (SPEAC model) describing how to put successfully competencies in action. Within the Cognitive Task Analysis paradigm, a protocol is then pre- sented in the line of Subjective Evidence-Based Ethnography (SEBE) methods. It combines first-person recordings of the workers’ activity by subcams (miniaturized cameras mounted on spectacles) and interviews. vii viii ABOUT THIS BOOK The theoretical aspects underpinning the protocol are explained for a better use of the protocol and its implementation is fully described. Examples of applications are given for the nuclear industry and in medicine, demonstrating the efficiency of the protocol to access what makes competencies of experienced workers and how this data can be used to improve performance through training. An example of its appli- cation in schools is also presented, showing that it is not restricted to the occupational area. How models and protocol integrate the Knowledge Management par- adigm is also exposed. We suggest that companies could benefit from the protocol presented in this book to improve their professional training. Four key points make the protocol of interest: its efficiency at detecting knowledge and know-how necessary to perform an activity, its low cost, the good work- ers’ acceptance and the performance improvement it provides. C ontents 1 Introduction: Competencies Transference and Skills Drain 1 References 5 2 What Do We Transfer? 7 2.1 Defining Competencies: The KKHS Model 7 2.2 The KKHS Model Robustness 15 References 19 3 Competencies Need Actions 23 3.1 Competencies and Workers 23 3.2 Seeking Models for Competencies in Action 31 3.3 A Model for Competencies in Action: The SPEAC Model 37 3.3.1 Le Boterf’s Model for Competencies in Action 37 3.3.2 The SPEAC Model 38 References 45 4 Refining Competencies Identification Through Digital Ethnography 53 4.1 Methods to Access Competencies in Action 53 4.1.1 Data Collection Through Video Recordings 56 4.1.2 Data Analysis Through Confrontation with Subjective Video 59 ix x CONTENTS 4.2 SEBE/SPEAC Protocol 61 4.2.1 Comments About Capturing the Activity 61 4.2.2 Comments About the Interview 64 4.2.3 Structure of the Protocol 65 4.2.4 Subtleties of Application of the SEBE/SPEAC Protocol 72 4.3 Performance of the SEBE/SPEAC Protocol 77 4.3.1 How Many Situation Cases to Observe to Access What Makes Competencies of Workers? 77 4.3.2 Comparing the SEBE/SPEAC Protocol with Other Methods 78 4.3.3 Using Other Methods Than the SEBE/SPEAC Protocol to Access Knowledge and Know-How 79 4.4 Limitations of the SEBE/SPEAC Protocol 80 4.5 Risk Assessment When Applying SEBE Methods 81 4.6 For Further Application 82 References 82 5 Application of the SEBE/SPEAC Protocol 89 5.1 Reliable Practices in Nuclear Industry 89 5.2 Radial Puncture in Medicine 92 5.3 Economics and Social Science at School 94 5.4 Acceptance of the Protocol by Participants 96 5.5 Further Applications 100 5.5.1 Enhancement of Students’ Teaching and Training 100 5.5.2 Competencies and Well-Being at Work 101 5.5.3 Industrial Event Analysis 102 5.6 Who May Apply the SEBE/SPEAC Protocol? 103 References 104 6 Conclusions 107 References 111

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