Accounting and statistical analyses for sustainable development : (Record no. 12630)
[ view plain ]
000 -LEADER | |
---|---|
fixed length control field | 02300nam a2200241 a 4500 |
001 - CONTROL NUMBER | |
control field | 42547 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | 0000000000 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240411193051.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 210719n s 000 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 978-3-658-33245-7 |
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER | |
International Standard Serial Number | 2523-8620 |
100 1# - MAIN ENTRY--PERSONAL NAME | |
Personal name | Lemke, Claudia. |
245 10 - TITLE STATEMENT | |
Title | Accounting and statistical analyses for sustainable development : |
Medium | [electronic resource] |
Remainder of title | multiple perspectives and information-theoretic complexity reduction / |
Statement of responsibility, etc. | Claudia Lemke. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Place of publication, distribution, etc. | Wiesbaden : |
Name of publisher, distributor, etc. | Springer Gabler, |
Date of publication, distribution, etc. | 2021. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 1 online resource. |
490 1# - SERIES STATEMENT | |
Series statement | Sustainable management, Wertschöpfung und Effizienz |
505 0# - FORMATTED CONTENTS NOTE | |
Formatted contents note | Introduction -- Conceptual framework of sustainable development -- Measuring and assessing contributions to sustainable development -- Methodology -- Empirical fndings -- Discussion and conclusion. |
520 ## - SUMMARY, ETC. | |
Summary, etc. | In this Open Access publication Claudia Lemke develops a comprehensive Multi-Level Sustainable Development Index (MLSDI) that is applicable to micro, meso, and macro objects by conducting methodological and empirical research. Multi-level comparability is crucial because the Sustainable Development Goals (SDGs) at macro level can only be achieved if micro and meso objects contribute. The author shows that a novel information-theoretic algorithm outperforms established multivariate statistical weighting methods such as the principal component analysis (PCA). Overcoming further methodological shortcomings of previous sustainable development indices, the MLSDI avoids misled managerial and political decision making. About the author Dr. Claudia Lemke holds a doctorate degree in Sustainability Accounting and Management Control from the Technische Universität Berlin. She worked several years as a Senior Research Associate in the field of sustainability science and corporate sustainability. She is now employed as a Supply Chain Sustainability Manager and is responsible for driving sustainability in the FMCG industry. |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Sustainable development. |
Source of heading or term | sears |
856 ## - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | <a href="https://drive.google.com/file/d/1uufGJL7LhpV9qYIKAhW3mSGkNL3DslBw/view?usp=sharing">https://drive.google.com/file/d/1uufGJL7LhpV9qYIKAhW3mSGkNL3DslBw/view?usp=sharing</a> |
Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Inventory number | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Main Library | Main Library | E-Resources | 07/14/2021 | 1 | 338.927 L554 | E004288 | 03/07/2024 | 03/07/2024 | E-Resources |