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Most of the bankruptcy prediction models developed so far have in common that they are based on quantitative data or more precisely financial ratios. However, useful information can be lost when disregarding soft information. In this work, we develop an automated content analysis technique to...
Persistent link: https://www.econbiz.de/10010308947
In today's uncertain financial climate it is particularly important for entities to explain their financial performance relative to their expectations. Therefore, the paper analyzes the quality and quantity of management reporting in Germany's publicly traded MDAX and SDAX companies using a...
Persistent link: https://www.econbiz.de/10010300005
Most of the bankruptcy prediction models developed so far have in common that they are based on quantitative data or more precisely financial ratios. However, useful information can be lost when disregarding soft information. In this work, we develop an automated content analysis technique to...
Persistent link: https://www.econbiz.de/10010957308
In today's uncertain financial climate it is particularly important for entities to explain their financial performance relative to their expectations. Therefore, the paper analyzes the quality and quantity of management reporting in Germany's publicly traded MDAX and SDAX companies using a...
Persistent link: https://www.econbiz.de/10008479037
Persistent link: https://www.econbiz.de/10013532730
Persistent link: https://www.econbiz.de/10011487434
Contents: Foreword by Leif Edvinsson / Introduction: welcome to the world of intellectual capital / John Dumay, Christian Nielsen and Morten Lund -- Part I Content Analysis -- 1. Investigating intellectual capital disclosure through content analysis: Reflections and suggestions for future...
Persistent link: https://www.econbiz.de/10013175403