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Accounting and Statistical Analyses for Sustainable Development : Multiple Perspectives and Information-Theoretic Complexity Reduction
| Accounting and Statistical Analyses for Sustainable Development : Multiple Perspectives and Information-Theoretic Complexity Reduction |
| Autore | Lemke Claudia |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (288 pages) |
| Collana | Sustainable Management, Wertschöpfung und Effizienz |
| Soggetto topico | Environmental economics |
| Soggetto non controllato |
Environmental Economics
Sustainability Sustainable Development Goals (SDGs) Composite indicators Multilevel perspective Principal component analysis Information theory Open Access |
| ISBN | 3-658-33246-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Foreword -- Acknowledgement -- Table of contents -- List of abbreviations -- List of figures -- List of tables -- List of equations -- List of symbols -- Chapter 1 Introduction -- 1.1 Background and motivation -- 1.2 Research question and aim of the dissertation -- 1.3 Procedure -- Chapter 2 Conceptual framework of sustainable development -- 2.1 Definition of sustainable development and sustainability -- 2.2 The three contentual domains of sustainable development -- 2.2.1 Environmental protection -- 2.2.2 Social development -- 2.2.3 Economic prosperity -- 2.2.4 Integration of the three contentual domains -- 2.3 Stakeholders and change agents of sustainable development -- 2.3.1 The multilevel perspective -- 2.3.2 Corporate sustainability -- 2.3.3 Political goal setting: The United Nations's (UN) Sustainable Development Goals (SDGs) -- 2.3.4 Sustainability science -- 2.4 Summary -- Chapter 3 Measuring and assessing contributions to sustainable development -- 3.1 Principles of sustainable development measurement and assessment methods -- 3.2 Overview of quantitative sustainable development assessment methods -- 3.3 Sustainable development indicators -- 3.3.1 Corporate indicator frameworks -- 3.3.2 Meso-level indices -- 3.3.3 Macro-level indices -- 3.4 Summary -- Chapter 4 Methodology -- 4.1 Overview of sustainable development indices' calculation steps and methodological requirements -- 4.2 Methodological evaluation of sustainable development indices -- 4.3 Methodology of the Multilevel Sustainable Development Index (MLSDI) -- 4.3.1 Collection of sustainable development key figures -- 4.3.2 Preparation of sustainable development key figures -- 4.3.2.1 Meso-level transformation to macro-economic categories -- 4.3.2.2 Macro-level transformation of statistical classifications -- 4.3.3 Imputation of missing values.
4.3.3.1 Characterisation of missing values -- 4.3.3.2 Single time series imputation: Various methods depending on the missing data pattern -- 4.3.3.3 Multiple panel data imputation: Amelia II algorithm -- 4.3.3.4 Statistical tests of model assumptions -- 4.3.4 Standardisation to sustainable development key indicators -- 4.3.5 Outlier detection and treatment -- 4.3.5.1 Characterisation of outliers -- 4.3.5.2 Univariate Interquartile Range (IQR) method -- 4.3.6 Scaling -- 4.3.6.1 Characterisation of scales -- 4.3.6.2 Rescaling between ten and 100 -- 4.3.7 Weighting -- 4.3.7.1 Overview of weighting methods -- 4.3.7.2 Multivariate statistical analysis: Principal Component Analysis (PCA) -- 4.3.7.3 Multivariate statistical analysis: Partial Triadic Analysis (PTA) -- 4.3.7.4 Information theory: Maximum Relevance Minimum Redundancy Backward (MRMRB) algorithm -- 4.3.7.5 Statistical tests of model assumptions -- 4.3.8 Aggregation -- 4.3.9 Sensitivity analyses -- 4.4 Summary and interim conclusion -- Chapter 5 Empirical findings -- 5.1 Data base, objects of investigation, and time periods -- 5.2 Sustainable development key figures -- 5.2.1 Collection and preparation of sustainable development key figures -- 5.2.2 Imputation of missing values -- 5.3 Sustainable development key indicators -- 5.3.1 Alignment of the Global Reporting Initiative (GRI) and the Sustainable Development Goal (SDG) disclosures -- 5.3.1.1 Environmental sustainable development key indicators -- 5.3.1.2 Social sustainable development key indicators -- 5.3.1.3 Economic sustainable development key indicators -- 5.3.2 Summary statistics of the sustainable development growth indicators -- 5.3.3 Outlier detection and treatment -- 5.3.4 Empirical findings of the cleaned and rescaled sustainable development key indicators -- 5.3.4.1 Summary statistics. 5.3.4.2 Comparative analysis of the selected branches -- 5.4 Weighting -- 5.4.1 The Principal Component (PC) family's eigenvalues and explained cumulative variances -- 5.4.2 The Maximum Relevance Minimum Redundancy Backward (MRMRB) algorithm's discretisation and backward elimination -- 5.4.3 Comparative analysis of weights -- 5.4.4 Statistical tests of the Principal Component (PC) family -- 5.5 Empirical findings of the four composite sustainable development measures -- 5.5.1 Summary statistics -- 5.5.2 Comparative analysis of the selected branches -- 5.6 Sensitivity analyses -- 5.7 Summary -- Chapter 6 Discussion and conclusion -- 6.1 Implications for research -- 6.2 Implications for practice -- 6.3 Limitations and future outlook -- 6.4 Summary and conclusion -- Appendix -- A.1 Statistical classification scheme of economic activities in the European Union (EU) -- A.2 German health economy's statistical delimitation -- A.3 Statistical tests of sustainable development key figures -- A.4 Summary statistics of the sustainable development key indicators -- A.5 Outlier thresholds of the sustainable development key indicators -- A.6 Normality tests of z-score scaled sustainable development key indicators -- A.7 Sensitivities by the four composite sustainable development measures -- References. |
| Record Nr. | UNINA-9910473452403321 |
Lemke Claudia
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Einführung in die Wirtschaftsinformatik [[electronic resource] ] : Band 2: Gestalten des digitalen Zeitalters / / von Claudia Lemke, Walter Brenner, Kathrin Kirchner
| Einführung in die Wirtschaftsinformatik [[electronic resource] ] : Band 2: Gestalten des digitalen Zeitalters / / von Claudia Lemke, Walter Brenner, Kathrin Kirchner |
| Autore | Lemke Claudia |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Gabler, , 2017 |
| Descrizione fisica | 1 online resource (XX, 514 S. 151 Abb. in Farbe.) |
| Disciplina | 658.514 |
| Soggetto topico |
Management
Industrial management Management information systems E-business Electronic commerce E-commerce Innovation/Technology Management Business IT Infrastructure Software Management e-Business/e-Commerce Business Information Systems Business Process Management |
| ISBN | 3-662-53656-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Nota di contenuto | Danksagung -- Geleitwort -- Vorwort. 1. Der Weg vom Verstehen zum Gestalten im digitalen Zeitalter -- 2. Zalando Radical Agility – Vom Online-Retailer zur Fashion-Plattform -- 3. Die Dominanz von Software im digitalen Zeitalter -- 4. Für Einsteiger: Verstehen und Strukturierung von Ideen -- 5. Für Fortgeschrittene: Programmieren und Testen von Ideen -- 6. Algorithmen im Alltag von Managern: Beispiele eines praktischen Advanced Analytics -- 7. Managementsystem zur Gestaltung im digitalen Zeitalter: Digitale Transformation und Gestaltungsprinzipien -- 8. Managementsystem zur Gestaltung im digitalen Zeitalter: Gestaltungsbausteine -- 9. Managementsystem zur Gestaltung im digitalen Zeitalter: Gestaltungstechniken -- 10. Implikationen für das Lehr- und Forschungsgebiet der Wirtschaftsinformatik -- Autorenverzeichnis. |
| Record Nr. | UNINA-9910484480803321 |
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Lemke Claudia
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| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Gabler, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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