DOCSLIB.ORG

NNT : 2017SACLC077 Interfaces : Approches Interdisciplinaires

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
NNT : 2017SACLC077 Interfaces : Approches Interdisciplinaires NNT : 2017SACLC077 THESE DE DOCTORAT DE L’UNIVERSITE PARIS-SACLAY PREPAREE A L’ECOLE CENTRALESUPELEC ECOLE DOCTORALE N° 573 Interfaces : approches interdisciplinaires / fondements, applications et innovation Spécialité de doctorat : Sciences et technologies industrielles Par Mme Sonia Ben Hamida Innovate by Designing for Value – Towards a Design-to-Value Methodology in Early Design Stages Thèse présentée et soutenue à l’école CentraleSupélec, université Paris-Saclay, le 14/12/2017 : Composition du Jury : Mme Claudia Eckert, Professeur en Conception, Open University, Présidente M. Olivier de Weck, Professeur d’Aéronautique, d’Astronautique et d’Ingénierie Système, MIT, Rapporteur M. Benoît Eynard, Directeur Innovation & Partenariats et de l'Institut de Mécatronique, UTC, Rapporteur M. Yves Pigneur, Professeur en Business Model, Design et Innovation, HEC UNIL, Examinateur M. Bernard Yannou, Directeur du Laboratoire de Génie Industriel, CentraleSupélec, Examinateur M. Alain Huet, Chef du service Architecture de Systèmes Complexes, ArianeGroup, Examinateur M. Jean-Claude Bocquet, Professeur en Conception, CentraleSupélec, Directeur de thèse Mme Marija Jankovic, Maître de Conférences en Conception, CentraleSupélec, Co-directrice de thèse Acknowledgments I am reaching the end of this exciting, inspiring, and unforgettable journey which was only possible thanks to the wonderful people who accompanied me along the way. I would like to take the opportunity to express my sincerest gratitude to my academic advisors Prof. Dr. Marija Jankovic and Prof. Dr. Jean-Claude Bocquet for the time they spent with me to frame and shape this research project as well as for the guidance and continuous encouragement throughout the years, and to my colleagues at Airbus Safran Launchers for the feedback and inspiration they gave me. I would like to thank Christophe C., Patrick D., Shahrzad L., and André A. for giving me the opportunity to pursue my dreams. Thank you to my colleagues from Airbus Group Innovations: Yves B. Eric D., Anne M., Fatima I., Clotilde M. Thank you to Cornelius Z., Pierre- Nicolas G., Aurélien P., Franco C., Simone S., Suzanne B., Yoann D., Marie-Sophie H., Joost V. -T., Agata J.-P., Maria M., and Hélène B. for involving me in their innovative projects. I would like to give a special thanks to the people who supervised and guided me: Gérard A., Eugenio F., Vincent C., Denis C., Alain H., Fabienne R., and Martine C. Thank you to my fellow Ph.D. colleagues, Guillaume Lamé, Ouail Al Maghraoui and Andreas Hein, for the feedback and inspiration they gave me, for the fun time we had together, and for their friendship. Finally, I would like to thank my parents, my brother and Mathieu for their ongoing support, for their faith in me, and the love they give me. Bibliographical Note Sonia Ben Hamida has been working as a Systems Engineer since 2011 at Airbus Safran Launchers (ASL), the European leader in space transport. First, she took part in the Single European Sky Air traffic management Research (SESAR) program for 2 years. Then, she started a Ph.D. in partnership with the SystemX research institute and the École CentraleSupélec – one of the top French research institutes in system design. Her research focuses on how to design value proposition for new businesses under uncertainty. Sonia holds an engineer’s degree in aerospace from the French Civil Aviation grande école. She is a Certified System Engineering Professional (CSEP) from the INCOSE and a member of the Design Society. She I am currently involved in concept studies and business innovation projects at the Innovation House of Airbus Safran Launchers. Table of Contents Acknowledgments .................................................................................................................... II Bibliographical Note ............................................................................................................. III List of Figures .......................................................................................................................... X List of Tables ........................................................................................................................ XVI List of Abbreviations ................................................................................................................ 1 1 Introduction ..................................................................................................................... 2 1.1 Context and Motivation .................................................................................................... 2 1.2 Aim and Scope .................................................................................................................. 3 1.3 Research Design – Methodology ...................................................................................... 5 1.4 Significance of the Study .................................................................................................. 6 1.5 Structure of Dissertation ................................................................................................... 7 2 Background ..................................................................................................................... 9 2.1 Introduction ....................................................................................................................... 9 2.2 The Importance of Early Design Stages ........................................................................... 9 2.3 Barriers to Innovation ..................................................................................................... 13 Business Model Design & Innovation ............................................................. 14 The Lack of Interactions Between Business Design and System Design ........ 15 2.4 The Notion of Value ........................................................................................................ 19 2.5 Value-Oriented Design Approaches ................................................................................ 20 Value Engineering ............................................................................................ 21 Design-to-Cost ................................................................................................. 22 Value Driven Design ........................................................................................ 22 Design-to-Value ................................................................................................ 24 2.6 Research Gap: Areas of Relevance and Contribution ..................................................... 24 V Table of Contents 3 Industry Challenges in Early Design Stages of Complex Systems ................. 26 3.1 Introduction ..................................................................................................................... 26 3.2 Research Approach ......................................................................................................... 26 Select Research Methods ................................................................................. 29 Collect Data ...................................................................................................... 30 Analyze Data .................................................................................................... 36 Validate Industrial Challenges .......................................................................... 36 Draw Conclusions ............................................................................................ 37 3.3 Results............................................................................................................................. 37 Eliciting Stakeholders’ Values .......................................................................... 39 Aligning Business and System Design ............................................................. 40 Mapping Values to Design Alternatives ........................................................... 41 Characterizing Value-Oriented Design Decisions ............................................ 42 3.4 Conclusion ...................................................................................................................... 46 4 ValYOU methodology: Innovate by Designing for Value in Early Stages ..... 47 4.1 Introduction ..................................................................................................................... 47 4.2 The ValYOU methodology ............................................................................................. 48 Understand What Stakeholders Want ............................................................... 51 Analyze What Competition Offers ................................................................... 51 Generate Value Propositions ............................................................................ 52 Select “Best” Value Proposition ....................................................................... 52 4.3 Conclusion ...................................................................................................................... 53 5 ValSearch: Qualitative Market Research for Business Model Design .......... 54 5.1 Introduction ..................................................................................................................... 54 5.2 Background ..................................................................................................................... 56 The Strengths and Limits of Business Model
Load more

Recommended publications
  • QPN-Vol1.Pdf
    Qualitative Psychology Nexus: Vol. 1 Mechthild Kiegelmann (Ed.) Qualitative Research in Psychology Verlag Ingeborg Huber All parts of this publication are protected by copyright. All rights reserved. No portion of this book may be reproduced by any process or technique, without the prior permission in writing from the publisher. Enquiries concerning reproduction should be sent to the publisher (see address below). Die Deutsche Bibliothek - CIP Cataloguing-in-Publication-Data Qualitative research in psychology / Mechthild Kiegelmann (ed.). - 1. ed.. - Schwangau : Huber, 2001 (Qualitative psychology nexus ; Vol. 1) ISBN 3-9806975-2-5 1. Edition 2001 © Verlag Ingeborg Huber Postfach 46 87643 Schwangau, Germany Tel./Fax +49 8362 987073 e-mail: [email protected] Web-Page: http://www.aquad.de ISBN 3-9806975-2-5 Content Preface by the editor 7 Introduction 8 Group I: Examples of Applications of Qualitative Methods, Part I 1. Discussion (summarized by Leo Gürtler) 17 2. Categorizing the Content of Everyday Family Communication Irmentraud Ertel 21 3. Emotions and Learning Strategies at School – Opportunities of Qualitative Content Analysis Michaela Gläser-Zikuda 32 4. The Role of Subjective Theories on Love Leo Gürtler 51 5. Deciding which Kinds of Data to Collect in an Evaluative Study and Selecting a Setting for Data Collection and Analysis Inge M. Lutz 66 6. Dynamics of a Qualitative Research Design. An Interactive Approach to Interactive Reception Thomas Irion 78 7. Cross-Cultural Youth Research as International and Inter- disciplinary Cooperation: The Project “International Learning.” Ilze Plaude and Josef Held 90 Group 2: Examples of Applications of Qualitative Methods, Part II 8.
    [Show full text]
  • Mendeley Mendeley Is a Reference and Citation Manager Available for Free up to 2 GB of Web Storage (More Storage Is Available for $55 Per Year)
    Mendeley Mendeley is a reference and citation manager available for free up to 2 GB of web storage (more storage is available for $55 per year). Mendeley is available as a desktop app, mobile app, as well as online. An MS Word extension allows users to connect to and cite their references while writing. Mendeley allows users to add resources in three ways. First, one may upload a PDF to Mendeley. Mendeley stores the PDF and allows the user to comment on and write notes in the PDF. Users may also enter sources manually, in cases where no PDF is present. For this entry approach, a few templates are available for the most common resource types. Users may also use the web extension to download source information from the web. Once sources have been entered, users can then then organize their sources in a variety of ways. The most prevalent use is through folders, which allow users to categorize sources by topic or project. However, users can also create tags for their files and sources so that they can search for keywords or topics that are important to them. Points in favor: • In-app PDF reader with commentary ability Points against: • Surprising lack of resource templates and information fields (e.g. no template for a conference paper or a book with translator). • MS Word extension has bugs that cause it to crash. Screenshots: Microsoft Word Citation Generator Although we tested Microsoft Word primarily as a writing app, the program includes a citation generator which was tested for facility and accuracy alongside the other reference management apps.1 Like other apps, MS Word has templates for common and uncommon resource types, including book, journal, and sound recording.
    [Show full text]
  • Getting Started Guide Version 2.4 (November 2020) 1
    Quirkos Getting started guide Version 2.4 (November 2020) 1 Contents Introduction p2 Installation p3 Your first project p4 Button by button guide p6 Step-by-step guide p7 Exports and reports p12 Tips and Tricks p13 Next Steps p14 2 Introduction Quirkos is a simple and visual tool to help with the qualitative analysis of text data. It is identical on Windows, Mac and Linux, so this guide applies to all platforms. Here are a few things to bear in mind as you learn Quirkos for the first time: Quirkos can store your projects in our secure cloud server, or in one project file on your computer. Everything is in one file for easy backup and sharing. Quirkos saves your work as you go, so there is no manual save button, but no risk of losing your work. Add your data to the project from txt, rtf, csv, Word (docx) or PDF files, or copy and paste from any other source. Describe your sources in any way with the source properties, such as age or gender, or type of source and comments. Your themes or topics are shown as bubbles on the left side of the screen. As you drag and drop sections of text to them they will grow. Drag and drop text onto the Memos column to add a note and record your thoughts and observations At any stage of your coding, you can create many different types of exports: detailed reports, coded transcripts for Word, or spreadsheets for statistical analysis. 3 Installation You can download the full version of Quirkos from our website, or from one of our USB sticks.
    [Show full text]
  • Human Resource Management Strategies for Small- and Medium-Sized Enterprise Project Success Armstrong Matthew Alexis Walden University
    Walden University ScholarWorks Walden Dissertations and Doctoral Studies Walden Dissertations and Doctoral Studies Collection 2018 Human Resource Management Strategies for Small- and Medium-Sized Enterprise Project Success Armstrong Matthew Alexis Walden University Follow this and additional works at: https://scholarworks.waldenu.edu/dissertations Part of the Business Commons This Dissertation is brought to you for free and open access by the Walden Dissertations and Doctoral Studies Collection at ScholarWorks. It has been accepted for inclusion in Walden Dissertations and Doctoral Studies by an authorized administrator of ScholarWorks. For more information, please contact [email protected]. Walden University College of Management and Technology This is to certify that the doctoral study by Armstrong M. Alexis has been found to be complete and satisfactory in all respects, and that any and all revisions required by the review committee have been made. Review Committee Dr. Dorothy Hanson, Committee Chairperson, Doctor of Business Administration Faculty Dr. Teresa Jepma, Committee Member, Doctor of Business Administration Faculty Dr. Matthew Knight, University Reviewer, Doctor of Business Administration Faculty Chief Academic Officer Eric Riedel, Ph.D. Walden University 2018 Abstract Human Resource Management Strategies for Small- and Medium-Sized Enterprise Project Success by Armstrong M. Alexis MBA, Durham University, 2008 MS, University of the West Indies, 1997 BS, University of the West Indies, 1995 Doctoral Study Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Business Administration Walden University December 2018 Abstract Critical success factors that contribute to project success in small and medium-sized enterprises (SMEs) have received insufficient attention in research. Guided by the goal- setting conceptual framework, the purpose of this multiple case study was to explore the human resource management (HRM) strategies used by owners of SMEs to achieve project success.
    [Show full text]
  • Qualitative Data Analysis Software: a Call for Understanding, Detail, Intentionality, and Thoughtfulness
    MSVU e-Commons ec.msvu.ca/xmlui Qualitative data analysis software: A call for understanding, detail, intentionality, and thoughtfulness Áine M. Humble Version Post-print/Accepted manuscript Citation Humble, A. M. (2012). Qualitative data analysis software: A call for (published version) understanding, detail, intentionality, and thoughtfulness. Journal of Family Theory & Review, 4(2), 122-137. doi:10. 1111/j.1756- 2589.2012.00125.x Publisher’s Statement This article may be downloaded for non-commercial and no derivative uses. This article appears in the Journal of Family Theory and Review, a journal of the National Council on Family Relations; copyright National Council on Family Relations. How to cite e-Commons items Always cite the published version, so the author(s) will receive recognition through services that track citation counts. If you need to cite the page number of the author manuscript from the e-Commons because you cannot access the published version, then cite the e-Commons version in addition to the published version using the permanent URI (handle) found on the record page. This article was made openly accessible by Mount Saint Vincent University Faculty. Qualitative Data Analysis Software 1 Humble, A. M. (2012). Qualitative data analysis software: A call for understanding, detail, intentionality, and thoughtfulness. Journal of Family Theory & Review, 4(2), 122-137. doi:10. 1111/j.1756-2589.2012.00125.x This is an author-generated post-print of the article- please refer to published version for page numbers Abstract Qualitative data analysis software (QDAS) programs have gained in popularity but family researchers may have little training in using them and a limited understanding of important issues related to such use.
    [Show full text]
  • Qualitative Research 1
    Qualitative research 1 Dr Raqibat Idris, MBBS, DO, MPH Geneva Foundation for Medical Education and Research 28 November 2017 From Research to Practice: Training Course in Sexual and Reproductive Health Research Geneva Workshop 2017 Overview of presentation This presentation will: • Introduce qualitative research, its advantages, disadvantages and uses • Discuss the various approaches to qualitative design Introduction • Qualitative research is a study done to explain and understand the meaning or experience of a phenomenon or social process and the viewpoints of the affected individuals. • Investigates opinions, feelings and experiences. • Understands and describes social phenomena in their natural occurrence- holistic approach. • Does not test theories but can develop theories. Mason, 2002 Features of qualitative research • Exploratory • Fluid and flexible • Data-driven • Context sensitive • Direct interaction with affected individuals Mason, 2002 Advantages and disadvantages Advantages: • Richer information • Deeper understanding of the phenomenon under study Disadvantages: • Time consuming • Expensive • Less objective • Findings cannot be generalized Mason, 2002 Uses of qualitative studies Exploratory or pilot study: • Precedes a quantitative study to help refine hypothesis • Pilot study to examine the feasibility of a program/ project implementation • Designing survey questionnaires • To improve the reliability, validity and sensibility of new or existing survey instruments in a new population Green, 2013 Uses of qualitative studies To explain quantitative data findings: • Can follow a quantitative research to help provide a deeper understanding of the results. For example, the use of ethnography to explain the social context in which mortality and birth rate data are produced. • Parallel studies in a mixed qualitative and quantitative design to provide greater understanding of a phenomenon under study.
    [Show full text]
  • Current Issues in Qualitative Data Analysis Software (QDAS): a User and Developer Perspective
    The Qualitative Report Volume 23 Number 13 Article 5 3-6-2018 Current Issues in Qualitative Data Analysis Software (QDAS): A User and Developer Perspective Jeanine C. Evers Erasmus University of Rotterdam, [email protected] Follow this and additional works at: https://nsuworks.nova.edu/tqr Part of the Law Commons, Quantitative, Qualitative, Comparative, and Historical Methodologies Commons, and the Social Statistics Commons Recommended APA Citation Evers, J. C. (2018). Current Issues in Qualitative Data Analysis Software (QDAS): A User and Developer Perspective. The Qualitative Report, 23(13), 61-73. https://doi.org/10.46743/2160-3715/2018.3205 This Article is brought to you for free and open access by the The Qualitative Report at NSUWorks. It has been accepted for inclusion in The Qualitative Report by an authorized administrator of NSUWorks. For more information, please contact [email protected]. Current Issues in Qualitative Data Analysis Software (QDAS): A User and Developer Perspective Abstract This paper describes recent issues and developments in Qualitative Data Analysis Software (QDAS) as presented in the opening plenary at the KWALON 2016 conference. From a user perspective, it reflects current features and functionality, including the use of artificial intelligence and machine learning; implications of the cloud; user friendliness; the role of digital archives; and the development of a common exchange format. This user perspective is complemented with the views of software developers who took part in the “Rotterdam Exchange Format Initiative,” an outcome of the conference. Keywords Qualitative Data Analysis Software, QDAS, Artificial Intelligence, Machine Learning, TLA AS.ti, Cassandre, Dedoose, f4analyse, MAXQDA, NVivo, QDA Miner, Quirkos, Transana, Exchange format, Interoperability, Qualitative Data Analysis, Learning Curve QDAS, Textual Data Mining, Cloud services.
    [Show full text]
  • The Value of CAQDAS for Systematising Literature Reviews
    BY DR. CHRISTINA SILVER, [email protected] RESEARCH FELLOW, UNIVERSITY OF SURREY The value of CAQDAS for systematising literature reviews Software designed to facilitate qualitative and mixed methods research is collectively known as CAQDAS Undertaking a literature review is similar to con- (Computer Assisted Qualitative Data AnalysiS). ducting a qualitative data analysis (QDA) in terms Available since the 1980s it provides tools designed of the analytic activities involved (Table 2.). Specific to support a range of analytic activities across disci- analytic requirements should drive the way tools are plines and sectors. Using references from bibliographic used rather than the availability of product features software (e.g. Endnote, Zotero, Mendeley) enables systematic literature reviewing, integrated with data Table 2. analysis. This article outlines some possibilities, high- Analytic activities supported by CAQDAS lighting considerations in planning a literature review for librarians and others. Integration revy revy • Bring together all relevant material into one “workspace” • Quantify qualitative data / qualify quantitative data 01 2016 01 What CAQDAS packages “do”? Organisation The acronym “CAQDAS” is misleading because • Manage facts about data (metadata, socio-demo- these programs do not “do” analysis; users remain in graphics etc.) control of and responsible for everything. It’s there- • Represent ideas that form the basis of analysis fore better to think of them as project management tools. Harnessing CAQDAS powerfully involves their Exploration use from start to finish, whether for an academic • Familiarise with data study, service evaluation, public consultation, liter- • Access and mark inherent structure ature review, or anything else. Each program has a suite of features, too many to list here.
    [Show full text]
  • The Coding Manual for Qualitative Researchers for Manual Coding The
    2E Second Edition The Coding Manual for Qualitative Researchers ‘This book fills a major gap in qualitative research methods courses. Saldaña has accomplished what has not been done before - creating a text that clearly identifies the many choices one has in coding their data. I wish I had this book when I started conducting qualitative research. It should be required reading for all.’ Mark Winton, Criminal Justice Instructor, University of Central Florida ‘An excellent handbook that helps demystify the coding process with a comprehensive assessment of different coding types, examples and exercises. As such it is a valuable teaching resource and it will also be of use to anyone undertaking qualitative analysis.’ Kevin Meethan, Associate Professor in Sociology, Plymouth University The ‘The Coding Manual describes the qualitative coding process with clarity and expertise. Its wide array of strategies, from the more straightforward to the more complex, are skillfully explained and exemplified. This extremely usable manual is a must-have resource for qualitative researchers at all levels.’ Coding Manual for Tara M. Brown, Assistant Professor of Education, Brandeis University The second edition of Johnny Saldaña’s international bestseller provides an in-depth guide to the Qualitative Researchers multiple approaches available for coding qualitative data. Fully up-to-date, it includes new chapters, more coding techniques and an additional glossary. Clear, practical and authoritative, the book: • Describes how coding initiates qualitative data analysis • Demonstrates the writing of analytic memos • Discusses available analytic software • Suggests how best to use The Coding Manual for Qualitative Researchers for particular studies In total, 32 coding methods are profiled that can be applied to a range of research genres from grounded theory to phenomenology to narrative inquiry.
    [Show full text]
  • Download: Casestudy-Researchmethodology
    Case Study Design: A Refresher Mansureh Kebritchi, Ph.D. Research Methodology Group Agenda An overview about Major issues related case study to case study Answer your Case study design questions Definition of the Case Study “An empirical inquiry that investigates a contemporary phenomenon (e.g., a “case”) within its real-life context; when the boundaries between phenomenon and context are not clearly evident” (Yin, 2014, p.16) “A case study is an in-depth description and analysis of a bounded system” (Merriam, 2015, p.37). “The “what” is a bounded system (Smith, 1978), a single entity, a unit around which there are boundaries” (Merriam, 2015, p.38)/(Stake, 2005). Definition of the Case Study The most defining characteristics of case study is delimiting the object of the study: the case (Merriam, 2015) • The goal is to understand one thing well: a person, a program, a group, or specific policy; examples: one playground, one band. • Research question must be aligned/define the case/unit of analysis. A noun, seldom a verb, a functioning (Stake, 2006). Real things to visualize. Examples: not training, managing , giving birth but training modules, managers, labor rooms. The “Case” Bounded context The context The Case Examples A study of how older adults learn to use computers. The case/unit of analysis: learners’ experience. Indefinite number of adult leaders can be selected for this study. • Not a case study but a qualitative study One particular program, or classroom of leaners (a bounded system), or one particular learners selected based on success uniqueness, etc. • A case study When to use the Case Study Type of Research Questions relevant to the Case Study • Explanatory/explanatory/descriptive questions • How or why did something happen? Not Appropriate Questions • Cause and effect questions (experimental/quasi- experimental design) • How often something has happened (survey design) When to use the Case Study Data collection in “natural setting” not “derived“ data (Bromley, 1986, p.
    [Show full text]
  • Bruno Colostate 0053A 16562.Pdf (4.546Mb)
    DISSERTATION LINKED LIVELIHOODS, LAND-USE, AND IDENTITIES ON TRANSITIONING LANDSCAPES IN NORTHEASTERN COLORADO: A SOCIAL-ECOLOGICAL STUDY Submitted by Jasmine Elizabeth Bruno Department of Forest and Rangeland Stewardship In partial fulfillment of the requirements For the Degree of Doctor of Philosophy Colorado State University Fort Collins, Colorado Spring 2021 Doctoral Committee: Advisor: Maria E. Fernández-Giménez Meena M. Balgopal Paul J. Meiman Robin S. Reid Copyright by Jasmine Elizabeth Bruno 2021 All Rights Reserved ABSTRACT LINKED LIVELIHOODS, LAND-USE, AND IDENTITIES ON TRANSITIONING LANDSCAPES IN NORTHEASTERN COLORADO: A SOCIAL-ECOLOGICAL STUDY Rangeland social-ecological systems in Northeastern (NE) Colorado are undergoing linked land-use, livelihood, and identity transitions. Land change is a spatially and temporally complex process in which land-use decisions cascade through interconnected social and ecological spheres, affecting both humans and the environment. While a wealth of empirical research on land cover changes exists, multiscale, multilevel research on the causes and consequences of linked social- ecological change remains limited. To avoid oversimplification and craft system-appropriate policies in rangeland systems, we require in-depth and process-based knowledge of the causes and consequences of change. Moreover, we must build upon and advance theory to support the role of contextual research in advancing sound practical applications and future inquiry in related systems. Thus, this dissertation applies a theoretically informed multi-method approach to examine the interrelationships among livestock shifting livelihoods, well-being, identities, and associated land change transitions inproducers’ two rangeland-dependent communities in NE Colorado. Social-ecological systems (SESs) theory serves as this dissertation's theoretical foundation, framing rangelands as systems in which humans are embedded within and affect ecosystems and vice versa.
    [Show full text]
  • 67695253.Pdf
    Title 「情報」第20号（全文） Author(s) Editor(s) Citation 学術情報センター年報情報 .20 Issue Date 2014-09-01 URL http://hdl.handle.net/10466/13907 Rights http://repository.osakafu-u.ac.jp/dspace/ 学術情報センター年報 情 報 第 ２０ 号 September 2014 公立大学法人 大阪府立大学 学術情報センター Library & Science Information Center Osaka Prefecture University 学術情報センター年報 情報 ２０号 目 次 巻頭言 ペーパーレスは可能か ............................................................................................................ 1 Ⅰ．報告・記事 ビブリオバトルの実施 .............................................................................................................. 4 学術情報センター図書館の環境整備 ...................................................................................... 5 大阪府立大学学術情報センター図書館・大阪府立中之島図書館共催講演会実施報告 「蔵書０冊からはじめる私設図書館、まちライブラリーの挑戦 ～大阪から全国に展開する「本」を通じて「人」と出会う文化拠点づくり～」................................... 6 大阪府立大学貴重図書専門部会連続講演会 「和書の魅力 －市大・府大の貴重書をめぐって－」 実施報告 .................................................. 7 平成 25 年度 貴重図書《展観と講演》 実施報告 ...................................................................... 8 平成 25 年度 貴重図書展示報告 ............................................................................................ 9 平成 25 年度 オンデマンド講習会・「情報基礎」授業実施報告 ................................................ 12 情報教育システムの端末リプレースについて ........................................................................... 20 全学無線ＬＡＮ環境の整備 ..................................................................................................... 26 対外公開サーバのセキュリティ診断 ........................................................................................ 29 Ⅱ．活動資料（平成
    [Show full text]