圖書館是一國文化建設的重要指標，在現今知識經濟時代中，資訊服務競爭日趨激烈且多元，面對少子化，大學圖書館應高度回應學術環境的變遷，運用營運績效來表現其在機構任務中的價值，並發展相關專業知識，以陳述圖書館對於學生學習與成功的影響。在執行績效評鑑時，國家圖書館之〈全國圖書館調查統計系統〉係為各館一致遵循，且定期提供的統計數據系統，應可利各圖書館進行營運績效評鑑之應用，同時亦能提供圖書資訊學專家或社會學家進行學術研究之參用。在績效評鑑模式上，關鍵績效指標（KPI）是用以衡量組織績效最為重要的資訊，也是績效指標範圍當中最核心的部分，可以說是引導圖書館發展方向的儀表板。 本研究目的有四：（1）探討大學圖書館績效評鑑與關鍵績效指標。（2）探討大學圖書館統計資料與績效評鑑指標的關係，以建構適合大學圖書館績效評鑑之模式。（3）探討〈全國圖書館調查統計〉支持本研究建構的大學圖書館統計支持績效評鑑模式的可行性，與績效評鑑實施的有效性。（4）探討圖書館統計是否滿足大學圖書館績效評鑑實施的需求。 為獲研究結果，本研究透過焦點團體訪談法建構成五個評鑑構面、20項重要績效指標，作為國內大學圖書館之關鍵績效指標評鑑模式之評鑑工具。為確保績效指標的可行性，經過研究者取樣國內13所大學圖書館統計調查資料，實際進行個案研究結果，獲得以下結論：（1）大學圖書館實施績效評鑑仍為少數，但各館普遍配合〈全國圖書館調查統計系統〉進行統計並如期填報。（2）本研究提出大學圖書館績效評鑑之五大構面20項重要績效指標具可行性，可做自我評鑑及檢視績效成果之用。（3）運用最佳權重和關鍵績效指標，建構出關鍵績效指標評鑑模式。（4）〈全國圖書館調查統計〉統計項目大致可滿足於大學圖書館20項重要績效評鑑指標項目。 針對所獲得的研究結果，提出三點建議：（1）國家圖書館之〈全國圖書館調查統計系統〉，與績效評鑑指標結合，透過各圖書館上傳各項統計至系統後，系統即可自動進行大數據分析，讓統計資料即時轉換為績效成果，預期將節省實施績效評鑑之時間和人力成本，提高大學圖書館全面實施績效評鑑之意願。（2）圖書館可以運用關鍵績效指標評鑑模式，透過全國大學圖書館的績效評鑑結果，進一步針對各館進行SWOT分析，訂定未來營運發展的具體可行之量化與質化目標，展現圖書館的影響價值。（3）推動大學圖書館實施績效評鑑，建立長期和完整的評鑑資料庫。 / A library is an important indicator of a country's cultural construction. In the present time of knowledge-based economy, information services are becoming increasingly competitive and diverse. In the face of a low-birth rate, university libraries have to demonstrate their value through operating performance and develop related professional knowledge in response to changes in the academic environment in order to state their influence on students’ learning and academic success. When carrying out the operating performance evaluation, university libraries may refer to the data published regularly by the Library Statistical System of National Central Library; experts or sociologists may also refer to these data in their academic study. To measure the performance of an organization, Key Performance Indicator (KPI) is the most important information and the core of all performance indicators; it can be said to be the dashboard that guides the development of a library. The research has four purposes: (1) exploring the performance evaluation and the key performance indicator of university libraries; (2) exploring the relationship between the library statistics and the performance indicator in order to build an appropriate performance evaluation model for university libraries; (3) exploring the feasibility of supporting the performance evaluation model by the university library statistics established with the support of Library Statistical System and exploring the effectiveness of implementation of performance evaluation; and (4) exploring whether the library statistics satisfy the requirements for the implementation of performance evaluation at university libraries. As to the performance evaluation model, the research has established five aspects of performance evaluation of university libraries and 20 key performance indicators through focus group. To ensure the feasibility of these performance indicators, the researcher sampled 13 university libraries’ statistics and carried out the case study. The conclusions are as follows: (1) only few university libraries carried out performance evaluation, but each university library gathered statistics and filed with the Library Statistical System as required; (2) five aspects of performance evaluation of university libraries and 20 key performance indicators proposed by the research were feasible and applicable to self-evaluation and self-review of performance results; (3) the performance evaluation model was established based on the optimum weight and key performance indicators; and (4) Statistical items of the Library Statistical System generally meet 20 key performance indicators of university libraries. Three recommendations are proposed based on the result of the research: (1) With the application of the Library Statistical System of National Central Library and performance evaluation indicators, university libraries upload the statistics to the system where data are analyzed automatically and converted into the performance results. Such application is expected to save time and labor costs of implementation of performance evaluation and increase the willingness of university libraries to implement performance evaluation; (2) Based on the KPI model and the results of performance evaluation of nationwide university libraries, university libraries may be able to carry out the SWOT analysis and set up the feasible quantitative and qualitative goals of future operation and further demonstrate their influence; and (3) university libraries are encouraged to implement performance evaluation and establish an extended and sound evaluation database.

Die Versorgung mit adäquater Information ist eine der Hauptfunktionen von Performance Measurement-Systemen (PMS), gleichzeitig aber auch ihr größter Mangel und der Grund für das häufige Scheitern ihres Einsatzes in Unternehmen. Dabei gibt es derzeit keine Möglichkeit zu bestimmen, inwieweit ein eingesetzes PMS den Beteiligten auch tatsächlich gut und passgenau Informationen liefern kann. Diese Untersuchung geht von der Grundfrage aus, welche Informationen erhoben werden müssen, damit nicht nur die Darstellung der Performance selbst adressiert wird, sondern die auch für ein besseres Verständnis über das PMS und seine organisationale Verankerung und damit Akzeptanz und Nützlichkeit genutzt werden können. Sie folgt damit einem Verständnis von PMS als Informationssysteme, die für die adäquate Versorgung mit Domänenwissen sorgen müssen, und nicht lediglich als Controllinginstrumente, die Performance-Daten liefern sollen. Im Ergebnis steht die Entwicklung einer Theorie, die erklärt, weshalb das bisherige Problem des Scheiterns von PMS auftritt. Damit einhergehend wird der Indikator der Visibility of Performance konstruiert, der über eine einfache Anwendung aussagen kann, wie gut ein PMS bezüglich seiner Wissensversorgung für ein Unternehmen passt. Mithin zeigt er die Güte der performancerelevanten Informationsversorgung in einem PMS eines Unternehmens an.:Versicherung 5 Inhaltsverzeichnis 6 Abbildungsverzeichnis 8 Tabellenverzeichnis 10 Abkürzungsverzeichnis 11 Formelverzeichnis 13 1 Einleitung 14 1.1 Problemstellung 15 1.2 Zielsetzung 16 1.3 Aufbau der Arbeit 18 2 Grundlagen 21 2.1 Wissenschaftstheoretische Einordnung 21 2.1.1 Ontologische, epistemologische und methodologische Positionierung 21 2.1.2 Erkenntnistheoretische und methodische Spannungsfelder 25 2.1.2.1 Design Science und Behaviorismus 26 2.1.2.2 Design Science und der Theoriebegriff 29 2.1.3 Methodenpluralismus 30 2.1.3.1 Leitmethode Grounded Theory 30 2.1.3.2 Weitere verwendete Methoden 33 2.2 Fundamentale Konzepte und Theoriekontext 37 2.2.1 Performance und Performance Measurement 38 2.2.1.1 Konzeptualisierung von Leistung und Performance 38 2.2.1.2 Konzeptualisierung des Performance Measurement 41 2.2.1.3 Theorien und Modelle 44 2.2.2 Performance-Measurement-Systeme 46 2.2.2.1 Konzeptualisierung von Performance-Measurement-Systemen 46 2.2.2.2 Theorien und Modelle 50 2.2.3 Unternehmerisches Wissen 53 2.2.3.1 Konzeptualisierung von Wissen 53 2.2.3.2 Theorien und Modelle 54 2.3 Kritische Würdigung bestehender Konzepte 59 2.3.1 Anforderungen an ein PMS 60 2.3.1.1 Die Balanced Scorecard 63 2.3.1.2 Das Performance Prism 65 2.3.1.3 Die Performance Pyramid 67 2.3.2 Anforderungen an die Qualität von PMS 69 2.3.3 Zusammenfassung 72 2.3.4 Forschungsfragen 74 3 Arbeitsablauf 75 3.1 Aufbau der Schwerpunkte und Darstellung der Forschungsbeiträge 77 3.2 Erster Schwerpunkt: Indikatoren 78 3.2.1 Forschungsbeitrag 1 79 3.2.2 Forschungsbeitrag 2 80 3.2.3 Forschungsbeitrag 3 80 3.2.4 Zusammenfassung 81 3.3 Zweiter Schwerpunkt: PMS 83 3.3.1 Forschungsbeitrag 1 83 3.3.2 Forschungsbeitrag 2 83 3.3.3 Forschungsbeitrag 3 83 3.3.4 Forschungsbeitrag 4 84 3.3.5 Forschungsbeitrag 7 85 3.3.6 Zusammenfassung 86 3.4 Dritter Schwerpunkt: Kontextuelles Umfeld 87 3.4.1 Forschungsbeitrag 5 88 3.4.3 Forschungsbeitrag 6 89 3.4.4 Forschungsbeitrag 7 90 3.4.5 Zusammenfassung 90 3.5 Vierter Schwerpunkt: Visibility 91 3.5.1 Forschungsbeitrag 3 92 3.5.2 Forschungsbeitrag 4 93 3.5.3 Forschungsbeitrag 6 93 3.5.4 Forschungsbeitrag 8 94 3.5.5 Zusammenfassung 95 3.6 Zwischenstand: Darstellung der Theorie 97 3.6.1 Kausales Referenzmodell 98 3.6.2 Strukturelles Referenzmodell 99 3.6.3 Theorie und Hypothesen 100 3.6.4 Abduktiver Schluss 103 3.7 Fünfter Schwerpunkt: Operationalisierung 103 3.7.1 Forschungsbeitrag 5 104 3.7.2 Forschungsbeitrag 8 104 3.7.3 Forschungsbeitrag 9 110 3.7.4 Zusammenfassung 115 3.8 Sechster Schwerpunkt: Validierung 119 3.8.1 Forschungsbeitrag 8 119 3.8.2 Forschungsbeitrag 9 123 3.8.3 Zusammenfassung 124 3.9 Siebenter Schwerpunkt: Technologische Umsetzung 125 3.10 Vollständigkeitsbetrachtung 129 3.10.1 Thematischer Zusammenhang 130 3.10.2 Zusammenhang im Erkenntnisprozess 130 3.10.3 Individuelle Beiträge zum Methodenpluralismus und zur Diversität 132 4 Zusammenfassung 134 4.1 Diskussion der Ergebnisse 134 4.2 Einordnung bereits bestehender Konzepte 141 4.3 Nutzen für Forschung und Praxis 144 4.4 Generalisierung der Erkenntnisse und Ausblick 150 4.5 Vollständigkeitsbetrachtung 153 Literaturverzeichnis 155 Anhang Forschungsbeitrag 5 166 / The supply with adequate information is one of the main functions of Performance Measurement Systems (PMS), but also still one of its drawbacks and reason for their failure. Not only the collection of indicators is crucial, but also the stakeholders’ understanding of the about their meaning, purpose and contextual embedding. Today, companies are faced to seek for a PMS without a way to express the goodness of a solution, indicating its ability to deliver appropriate information and to address these demands. The goal of this investigation is to explore the mechanisms that drive information and knowledge supply in PMS in order to model a way to express this goodness. Using a grounded Theory approach, a theory of visibility of performance is developed, featuring a catalog of determinants for the goodness of PMS. Companies can conveniently use them to assess their PMS and to improve the visibility of their performance.:Versicherung 5 Inhaltsverzeichnis 6 Abbildungsverzeichnis 8 Tabellenverzeichnis 10 Abkürzungsverzeichnis 11 Formelverzeichnis 13 1 Einleitung 14 1.1 Problemstellung 15 1.2 Zielsetzung 16 1.3 Aufbau der Arbeit 18 2 Grundlagen 21 2.1 Wissenschaftstheoretische Einordnung 21 2.1.1 Ontologische, epistemologische und methodologische Positionierung 21 2.1.2 Erkenntnistheoretische und methodische Spannungsfelder 25 2.1.2.1 Design Science und Behaviorismus 26 2.1.2.2 Design Science und der Theoriebegriff 29 2.1.3 Methodenpluralismus 30 2.1.3.1 Leitmethode Grounded Theory 30 2.1.3.2 Weitere verwendete Methoden 33 2.2 Fundamentale Konzepte und Theoriekontext 37 2.2.1 Performance und Performance Measurement 38 2.2.1.1 Konzeptualisierung von Leistung und Performance 38 2.2.1.2 Konzeptualisierung des Performance Measurement 41 2.2.1.3 Theorien und Modelle 44 2.2.2 Performance-Measurement-Systeme 46 2.2.2.1 Konzeptualisierung von Performance-Measurement-Systemen 46 2.2.2.2 Theorien und Modelle 50 2.2.3 Unternehmerisches Wissen 53 2.2.3.1 Konzeptualisierung von Wissen 53 2.2.3.2 Theorien und Modelle 54 2.3 Kritische Würdigung bestehender Konzepte 59 2.3.1 Anforderungen an ein PMS 60 2.3.1.1 Die Balanced Scorecard 63 2.3.1.2 Das Performance Prism 65 2.3.1.3 Die Performance Pyramid 67 2.3.2 Anforderungen an die Qualität von PMS 69 2.3.3 Zusammenfassung 72 2.3.4 Forschungsfragen 74 3 Arbeitsablauf 75 3.1 Aufbau der Schwerpunkte und Darstellung der Forschungsbeiträge 77 3.2 Erster Schwerpunkt: Indikatoren 78 3.2.1 Forschungsbeitrag 1 79 3.2.2 Forschungsbeitrag 2 80 3.2.3 Forschungsbeitrag 3 80 3.2.4 Zusammenfassung 81 3.3 Zweiter Schwerpunkt: PMS 83 3.3.1 Forschungsbeitrag 1 83 3.3.2 Forschungsbeitrag 2 83 3.3.3 Forschungsbeitrag 3 83 3.3.4 Forschungsbeitrag 4 84 3.3.5 Forschungsbeitrag 7 85 3.3.6 Zusammenfassung 86 3.4 Dritter Schwerpunkt: Kontextuelles Umfeld 87 3.4.1 Forschungsbeitrag 5 88 3.4.3 Forschungsbeitrag 6 89 3.4.4 Forschungsbeitrag 7 90 3.4.5 Zusammenfassung 90 3.5 Vierter Schwerpunkt: Visibility 91 3.5.1 Forschungsbeitrag 3 92 3.5.2 Forschungsbeitrag 4 93 3.5.3 Forschungsbeitrag 6 93 3.5.4 Forschungsbeitrag 8 94 3.5.5 Zusammenfassung 95 3.6 Zwischenstand: Darstellung der Theorie 97 3.6.1 Kausales Referenzmodell 98 3.6.2 Strukturelles Referenzmodell 99 3.6.3 Theorie und Hypothesen 100 3.6.4 Abduktiver Schluss 103 3.7 Fünfter Schwerpunkt: Operationalisierung 103 3.7.1 Forschungsbeitrag 5 104 3.7.2 Forschungsbeitrag 8 104 3.7.3 Forschungsbeitrag 9 110 3.7.4 Zusammenfassung 115 3.8 Sechster Schwerpunkt: Validierung 119 3.8.1 Forschungsbeitrag 8 119 3.8.2 Forschungsbeitrag 9 123 3.8.3 Zusammenfassung 124 3.9 Siebenter Schwerpunkt: Technologische Umsetzung 125 3.10 Vollständigkeitsbetrachtung 129 3.10.1 Thematischer Zusammenhang 130 3.10.2 Zusammenhang im Erkenntnisprozess 130 3.10.3 Individuelle Beiträge zum Methodenpluralismus und zur Diversität 132 4 Zusammenfassung 134 4.1 Diskussion der Ergebnisse 134 4.2 Einordnung bereits bestehender Konzepte 141 4.3 Nutzen für Forschung und Praxis 144 4.4 Generalisierung der Erkenntnisse und Ausblick 150 4.5 Vollständigkeitsbetrachtung 153 Literaturverzeichnis 155 Anhang Forschungsbeitrag 5 166

Background & aims: Prior research has, due to the ongoing Covid-19 pandemic and the resulting supply chain (SC) disruptions, increased the level of investigations in the field of SC resilience strategies. Even though many studies have been conducted within the field, little is known about the effectiveness and efficiency of those strategies. As food SC’s (FSC’s) are among the most important SC’s in our societies, their conservation is of great importance. As the operational purchasing process within the FSC was one of the areas within the SC that was strongly affected by the pandemic, this process will be the focus of the paper. This study seeks to identify the most applied SC resilience strategies for operational purchasing activities in FSC’s for various SC disruptions from a SME food retailers perspective. Furthermore, a framework of how to measure the effectiveness and efficiency of those strategies will be developed. Method: To collect relevant empirical data to answer the purpose of the study a qualitative multiple-interview study is conducted based on semi-structured interviews with respondents of the three different case companies. The case companies were selected and four interviews with one to two respondents per company were conducted. European SME food retailers of long shelf life goods are used as case companies to investigate the research gaps. Results: The study found out that the application of theory revealed the five most applied SC resilience strategies (SC flexibility, inventory management, end-to-end (E2E) SC visibility (SCV), information technology (IT) tools and SC cooperation) in operational purchasing, differences between SME food retailers according to their company size and maturity level. The KPIs identified to measure the effectiveness and efficiency of these SC resilience strategies were found to be applied. The KPIs provided are the basis for measurement opportunities that should be adapted and expanded depending on the business model and complexity of the company as part of the SC design. Contributions: The study adds value through theoretical and practical contributions of the most applied SC resilience strategies within operational purchasing from a SME food retailer perspective and their performance measurement system for measuring efficiency and effectiveness. Limitation & future research: The study is limited to the Covid-19 pandemic as a major reason for the triggering of the investigated SC disruptions. Further limitations can be seen within the selection of the case companies. Future research should investigate the differences between SME within their application of SC resilience strategies for their operational purchasing activities, just like the differences between strategic and operational purchasing. Key words: supply chain resilience strategy, supply chain disruption, Covid-19 pandemic, supply chain effectiveness, supply chain efficiency, performance measurements, key performance indicator, food supply chain, food retailers, purchasing process, operational purchasing

The construction industry has a great opportunity to streamline its operations even more by making greater use of the digital revolution. The industry today uses a lot of manual data management and analysis to get an overview of the business and to make decisions. This can be a time-consuming process that could be made more efficient through Business Intelligence (BI). BI is a technology that automatically, with the help of selected Key Performance Indicators (KPIs), shows the current status of how a business performs. This can allow managers and executives to make decisions easier and faster.This study examines which KPIs that are of common interest to companies and organizations in the construction industry as well as how these KPIs can be presented to the end users of a BI application. To investigate this, data is collected through literature studies and interviews, which results in a list of common KPIs for the industry. From this common list, a number of KPIs are selected to be visually represented.An analysis of the results, indicates that KPIs are of different importance and relevance depending on which sector of the construction industry the interviewee belongs to. There also appears to be sector-specific KPIs and the common list suggests that the profit margin is of great importance throughout the whole industry. KPIs can be represented in different types of charts and diagrams, depending on the purpose they hold, and should be designed so that they are intuitive and easy to understand. / Bygg- och hantverksbranschen har stor möjlighet att effektivisera sin verksamhet ännu mer genom att i större utsträckning utnyttja den digitaliserade utvecklingen. Branschen använder idag mycket manuell datahantering och manuell dataanalys för att få en överblick över verksamheten och ta beslut. Detta kan vara en tidskrävande process, som skulle kunna effektiviseras ytterligare genom Business Intelligence (BI). BI är en teknologi som automatiskt, med hjälp av valda nyckeltal (KPI:er), visar aktuell status på hur en verksamhet presterar. Detta kan göra att beslutsfattare kan fatta beslut enklare och snabbare.Denna studie undersöker vilka nyckeltal som är av gemensamt intresse för företag och organisationer i byggoch hantverksbranschen samt hur dessa nyckeltal kan presenteras för slutanvändarna av en BI-applikation. För att ta reda på detta samlas data in genom litteraturstudier och intervjuer, vilket resulterar i en lista över gemensamma KPI:er i branchen. Ur denna lista handplockas ett antal nyckeltal ut för att representeras visuellt.En analys av resultaten indikerar att nyckeltal är av olika vikt och relevans, beroende på vilken sektortillhörighet av byggoch hantverksbranschen den intervjuade tillhör. Det verkar även finnas sektorspecifika KPI:er samt att listan med de branchgemensamma nyckeltalen antyder att vinstmarginal är av stor vikt. KPI:er kan representeras i olika typer av diagram beroende på vilket syfte de innehar och bör designas så att de är intuitiva och lättförståeliga.

Learning-based testing is a testing paradigm that combines model-based testing with machine learning algorithms to automate the modeling of the SUT, test case generation, test case execution and verdict construction. A tool that implements LBT been developed at the CSC school at KTH called LBTest. LBTest utilizes machine learning algorithms with off-the-shelf equivalence- and model-checkers, and the modeling of user requirements by propositional linear temporal logic. In this study, it is be investigated whether LBT may be suitable for testing a micro bus architecture within an embedded telecommunication device. Furthermore ideas to further automate the testing process by designing a data model to automate user requirement generation are explored. / Inlärningsbaserad testning är en testningsparadigm som kombinerar model-baserad testning med maskininlärningsalgoritmer för att automatisera systemmodellering, testfallsgenering, exekvering av tester och utfallsbedömning. Ett verktyg som är byggt på LBT är LBTest, utvecklat på CSC skolan på KTH. LBTest nyttjar maskininlärningsalgoritmer med färdiga ekvivalent- och model-checkers, och modellerar användarkrav med linjär temporal logik. I denna studie undersöks det om det är lämpat att använda LBT för att testa en mikrobus arkitektur inom inbyggda telekommunikationsenheter. Utöver det undersöks även hur testprocessen skulle kunna ytterligare automatiseras med hjälp av en data modell för att automatisera generering av användarkrav.

During the thesis project, an evaluation tool was developed for Telenor. This tool identifies the most reliable cell within a site based on its standard deviation and systematically ranks the performance of each cell using key performance indicators (KPIs). The tool also calculates the mean and the median to allow the user to get an overview over the network performance. The analysis underscored the importance of robust network reliability, especially when considering the deployment of home care technologies in remote areas. The tool is designed to analyse extracted data, providing Telenor with a view of network performance and ensuring top-tier service quality in even the most remote and challenging terrains. / Under examensarbetet lades fokus på skapandet av ett utvärderingsverktyg för Telenor. Detta verktyg bestämmer den mest tillförlitliga cellen inom en basstation baserat på dess standardavvikelse för den analyserade KPI och klassificerar varje cells prestanda. Utöver det räknas medelvärdet och medianen ut för att användaren ska få en bättre översikt över nätverksprestandan. Utbyggnaden av hemvårdsteknologier i avlägsna områden tas särskilt i beaktande. Verktyget är designat för analys av data och ger en översikt över nätverkets prestanda, vilket kan bidra till att säkerställa optimal servicekvalitet.

<p>  </p> <p>Although airports of all sizes have incorporated sustainability practices into planning, there is a gap in literature concerning the impacts of sustainability initiatives on airport operations and stakeholders. This multiple case study sought to explore the impact assessment methods used by six small hub airports (cases) that received the Federal Aviation Administration (FAA) airport sustainability Airport Improvement Program (AIP) grants to prepare airport sustainability planning documents.</p> <p>The objective of the study was twofold. The first objective was to gain in-depth understanding of sustainability metrics and Key Performance Indicators (KPIs), and sustainability impact assessment methods and tools used by small hub airports. The second objective was to develop a preliminary framework for assessing the impacts of sustainability initiatives in airports. Three types of data were collected airport sustainability planning documents, archival records, and interviews with 14 airport executives and two airport planning consultants. Sustainability planning processes, sustainability assessment methods and tools, and sustainability metrics and KPIs were identified from data for each case and compared to one of the most comprehensive industry-specific airport sustainability rating systems, the Airport Cooperative Research Program (ACRP) <em>Report 119: Protype Airport Sustainability Rating System: Characteristics, Viability, and Implementation Options</em>. Interview responses from airport executives and consultants were used to corroborate information in the sustainability planning documents.</p> <p>The findings of this study showed more commonalities than differences in the approaches to sustainability impact assessment by the six small hub airports in this study. Commonalities were evident in the criteria for selecting sustainability initiatives, indicating that cost and return on investment were the major factors. In addition, small hub airports in this study reported similar challenges on tracking sustainability metrics and KPIs, indicating that more work is needed in this area. The differences noted were driven by airport operating conditions such as geographical location and local community goals. </p>

El Terrorismo alimentario ha sido definido por la Organización Mundial de la saludos como "un acto o intento deliberado de contaminación de alimentos para consumo humano con agentes químicos, físicos o microbiológicos para el propósito de causar daño o muerte a poblaciones civiles o para interrumpir la estabilidad social, política o económica"(WHO,2008) La biodiversidad, según la Association of food and drug Officials de los EEUU, abarca los medios para prevenir y eliminar cualquier acción intencional de adulteración de alimentos destinada a provocar consecuencias negativas graves para la salud o la muerte de personas o animales, ocasionar daños a las economías de los paises como consecuencia de retricciones comerciales internacionales derivadas de la aparición de enfermedades y la falta de confianza en los controles sanitarios locales... / Navarrete Reynoso, R. (2013). MODELO DE BIOSEGURIDAD EN LA CADENA DE SUMINISTROS DE PRODUCTOS ALIMENTICIOS, TENIENDO EN CUENTA LA GESTIÓN DE LA CADENA DE SUMINISTROS Y LA VISIÓN DE PROCESOS DE NEGOCIO. APLICACIÓN A LA INDUSTRIA ALIMENTICIA, DE LA ZONA DEL BAJÍO (MÉXICO) [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/19159

[ES] El judo es un deporte complejo donde hay identificadas muchas variables multidisciplinares como por ejemplo la fuerza, la potencia, la velocidad, las habilidades técnicas y tácticas, la motivación, la gestión del estrés o la alimentación que tienen una importancia clave e influyen en el resultado final de los combates. Si bien muchos trabajos académicos han estudiado estas variables, generalmente de forma aislada o combinando unas pocas normalmente del mismo ámbito, se ha detectado que no existen estudios que hayan analizado un conjunto de variables multidisciplinares heterogéneas de manera integral, considerando al mismo tiempo variables de diferentes ámbitos (por ejemplo físicas, técnicas, psicológicas, de estilo de vida, etc) y analizado su impacto sobre el rendimiento estratégico de los judokas. Además, una vez que se han identificado esas variables multidisciplinares, es complejo determinar cuáles de ellas están directamente relacionadas con la capacidad del judoka para alcanzar sus objetivos estratégicos, los cuales pueden definirse como las principales metas estratégicas que el deportista pretende alcanzar a medio-largo plazo (por ejemplo, obtener la clasificación para los Juegos Olímpicos), y que por tanto condicionan el esfuerzo y la planificación del deportista. Por tanto, esta Tesis Doctoral desarrolla una propuesta metodológica para identificar, priorizar y cuantificar el impacto de variables multidisciplinares sobre el rendimiento en el ámbito del judo, proporcionando una visión más completa y global y, por extensión, valiosa información adicional para tomar decisiones importantes tales como preparar planes de entrenamiento o planificar el calendario de competiciones. Para ello, se aplica una técnica de ayuda a la toma de decisiones multicriterio, el Analytic Network Process, la cual posibilita la evaluación y cuantificación conjunta de dichas variables multidisciplinares, las cuales son heterogéneas y de las que de muchas no se poseen datos históricos y cuyo impacto sobre el rendimiento del judoka es difícil de determinar. En este sentido, es necesario tener en cuenta que existen también otras relaciones importantes, las interrelaciones entre variables, que también deben evaluarse. Por tanto, se consideran las siguientes relaciones entre variables: Relaciones entre un conjunto de variables multidisciplinares claves del judo y el rendimiento del deportista. Interrelaciones entre las variables multidisciplinares claves del judo que afectan al rendimiento. Interrelaciones entre los objetivos estratégicos definidos y que representan el rendimiento del deportista. Por todo ello, la presente Tesis Doctoral se estructura en diferentes capítulos de la siguiente forma: El Capítulo 1 describe el planteamiento y la estructura de la Tesis Doctoral. En el Capítulo 2 se realiza una revisión bibliográfica de los principales trabajos científicos, justificando el hueco investigador e identificando las principales variables multidisciplinares de judo. En el Capítulo 3 se lleva a cabo un estudio práctico de la importancia de las variables técnico-tácticas en judo, analizando para ello todos los torneos de judo de élite (Grand Prix, Gran Slam, Master y Campeonato del Mundo) celebrados en el año 2019. En el Capítulo 4 se presenta la propuesta metodológica desarrollada en el ámbito de la Tesis. Para ello, inicialmente se justifica el uso del Analytic Network Process como Técnica Multicriterio de Ayuda a la Toma de Decisiones más adecuada para aplicar en la presente Tesis, describiendo a continuación las cuatro fases de la metodología desarrollada. En el Capítulo 5 se aplica la propuesta metodológica al Centro de Alto Rendimiento de Judo de Valencia, donde un grupo de expertos formado a tal fin desarrolla las cuatro fases de la metodología para la categoría de -66 kgs. En el Capítulo 6 se presentan las principales conclusiones de la Tesis Doctoral y se proponen líneas futuras de investigación. / [CA] El judo és un esport complex on hi ha identificades moltes variables multidisciplinars com ara la força, la potència, la velocitat, les habilitats tècniques i tàctiques, la motivació, la gestió de l'estrès o l'alimentació que tenen una importància clau i influeixen en el resultat final dels combats. Si bé molts treballs acadèmics han estudiat aquestes variables, generalment de forma aïllada o combinant unes poques normalment de el mateix àmbit, s'ha detectat que no hi ha estudis que hagin analitzat un conjunt de variables multidisciplinars heterogènies de manera integral, considerant a el mateix temps variables de diferents àmbits (per exemple físiques, tècniques, psicològiques, d'estil de vida, etc.) i analitzat el seu impacte sobre el rendiment dels judokes. A més, una vegada que s'han identificat aquestes variables multidisciplinars, és complex identificar quines d'elles estan directament relacionades amb la capacitat de l'judoka per assolir els seus objectius estratègics, els quals poden definir-se com les principals fites estratègiques que l'esportista pretén assolir a mig-llarg termini (per exemple, obtenir la classificació per als Jocs Olímpics), i que per tant condicionen l'esforç i la planificació de l'esportista. Per tant, aquesta tesi doctoral desenvolupa una proposta metodològica per identificar, prioritzar i quantificar l'impacte de variables multidisciplinars sobre el rendiment en l'àmbit de l'judo, proporcionant una visió més completa i global i, per extensió, valuosa informació addicional per prendre decisions importants tals com preparar plans d'entrenament o planificar el calendari de competicions. Per a això, s'aplica una tècnica d'ajuda a la presa de decisions multicriteri, l'Analytic Network Process, la qual possibilita l'avaluació i quantificació conjunta d'aquestes variables multidisciplinars, les quals són heterogènies i de les que moltes no es posseeixen dades històriques i el impacte sobre el rendiment de l'jukoka és difícil de determinar. En aquest sentit, cal tenir en compte que existeixen també altres relacions importants, les interrelacions entre variables, que també s'han d'avaluar. Per tant, es consideren les següents relacions entre variables: Relacions entre un conjunt de variables multidisciplinars clau de judo i el rendiment de l'esportista. Interrelacions entre les variables multidisciplinars clau de judo que afecten el rendiment. Interrelacions entre els objectius estratègics definits i que representen el rendiment de l'esportista. Per tot això, la present Tesi Doctoral s'estructura en diferents capítols de la següent manera: El capítol 1 descriu el plantejament i l'estructura de la tesi doctoral. En el capítol 2 es realitza una revisió bibliogràfica dels principals treballs científics, justificant el buit investigador i identificant les principals variables multidisciplinars de judo. En el capítol 3, es porta a terme un estudi pràctic de la importància de les variables tècnic-tàctiques en judo, analitzant per a això tots els tornejos de judo d'elit (Grand Prix, Gran Slam, Master i Campionat del Món) celebrats a l'any 2019. En el capítol 4 es presenta la proposta metodològica desenvolupada en l'àmbit de la Tesi. Per a això, inicialment es justifica l'ús de l'Analytic Network Process com a Tècnica Multicriteri d'Ajuda a la Presa de Decisions més adequada per aplicar en la present Tesi, presentant a continuació les quatre fases de la metodologia desenvolupada. En el Capítol 5 s'aplica la proposta metodològica a el Centre d'Alt Rendiment de Judo de València, on un grup d'experts format a aquest fi desenvolupen les quatre fases de la metodologia per a la categoria de -66 kg. En el capítol 6 es presenten les principals conclusions de la tesi doctoral i es proposen línies futures d'investigació. / [EN] Judo is a complex sport where many multidisciplinary key variables, i.e. strength, power, speed, technical and tactical abilities, motivation or estrés management, which have a significant impact on the final result of combats have been identified. However, these studies have usually focused on either only one or a few variables from the same ambit instead of considering a full set of heterogeneous multidisciplinary variables at the same time, which are of different ambits such as physical, tactical-technical, psychological or lifestyle and, at the same time, assessing their impact over judokas' performance. Additionally, once these multidisciplinary variables are identified, it is a complex process to determine which ones are directly linked with the capacity of the athlete for reaching his/her strategic objectives, which can be defined as the main medium-long term strategic goals (i.e. to get the classification for the Olympic Games) and which, therefore, condition the judokas efforts and planning. Then, this Doctoral PhD Thesis develops a methodological proposal for identifying, priorisiting and quantifying the impact of a set of multidisciplinary variables on the strategic performance of judokas, providing a more complete and global vision and, extensively, valuable additional information to make important decisions such as designing training plans or planning the competitions calendar. To this end, a Multi-Criteria Decision Technique, the Analytic Network Proces, is applied, which allows to jointly evaluate and quantify such a set of multidisciplinary variables, which are heterogeneous and which many of them lack of historical data and whose impact on the judoka's performance is very difficult to determine. In this sense, it is also necessary to take into account the existence of other type of relationship, the inter-relationships between the multidisciplinary variables, which should also be assessed. Then the next relationships between variables are considered: Relationships between a set of multidisciplinary variables of judo that are affecting to the judoka's performance. Inter-relationships between the judo multidisciplinary variables. Inter-relationships between the strategic objectives that represent the judoka's performance. Therefore, this Doctoral PhD Thesis is structured as follows: In Chapter 1, the approach and structure are presented. In Chapter 2, a literature review is carried out, justifying the research gap and identifying the main judo multidisciplinary variables. In Chapter 3, a practical study of the importance of the tactical-variables in judo is carried out, analysing all the judo ellite tournaments of 2019. Chapter 4 presents the methodological proposal, justifying initially the application of the Analytic Network Process and then the phases of the methodology. In Chapter 5, the methodological proposal is applied to the High Performance Judo Center of Valencia, where a judo expert group applies the phases of the methodology for the under 66 kgs category. In Chapter 6, the main conclusions as well as the future research lines are presented. / Uriarte Marcos, S. (2021). Propuesta para identificar, priorizar y cuantificar el impacto de variables multidisciplinares sobre el rendimiento deportivo de élite aplicando Analytic Network Process. Una aplicación al Centro de Alto Rendimiento de Judo de Valencia [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/165363

Service quality has always been a tacit assumption within the delivery of academic library services, but since the 1990s demands for accountability from different stakeholders, including the clients, made service quality a highly debated and researched focus in academic libraries all over the world. The scope of the study covers a wide-ranging analysis of discourses underpinning service quality and its accompanying performance indicators in academic libraries. Using the academic library of the University of South Africa as an illustrative case study, this study examines the possible impact of inventory control on the service quality of the academic library in three areas, namely access to information resources, retrieval of information resources and positive implications for sound financial management. The study's findings all point to a positive enhancement of service quality in regard to the three areas mentioned. / Information Science / M. Inf.