Suchergebnisse

The paper is systematic scrutiny of studies on financial distress, prediction, and strategies firms adapt to deal with the difficulty. To this end, the paper offers a dissection and assortment of 72 articles published between 2005 and 2017 in Scopus, Web of Science, and Science Direct. The authors chose the three databases as articles that are published only in indexed journals. The studies were selected based on the key terms "financial distress", "financial strategies", "financial distress prediction", and "financial distress strategies". The selected articles were evaluated based on seven categories: content, methodology, scope, and data analysis techniques, study period, study focus, and data analyzed. The evaluation and assortment of studies identified existing disparities in the literature on financial distress, offering opportunities for future researchers. Exceptional articles on financial challenges, prediction, and strategies adopted by firms were identified. The study finds that most of the studies centered on mature economies, whereas those on emerging markets-focused only on Asian markets. Equally, there are very few qualitative studies on the subject matter. Through the study, the authors paint a picture of existing literature on the subject matter; further, the authors expect the review to stimulate debate and further research among scholars.

Abstract
The main aim of the study to examine the extent to which the companies of a specific Hungarian sector fulfil their obligation to provide information in their notes to the financial statements as stipulated by the Accounting Act. Accordingly, it should be examined whether the notes to financial statements contains the required data regarding the balance sheets of companies investigated. For the analyses, it was used the notes to the financial statement of 8,226 companies with Hungarian headquarters, which are regulated by the Hungarian Accounting Act and which have information-technology services as the main business activity. It was investigated 95.78% of the financial reports containing the notes. The analysis was performed using text mining method, utilizing every available notes to the financial statement of the sector. Findings of the study reveal that the amount of published information shows greater and lesser differences and in many cases, the quantity of published data does not fulfil even the minimal obligations stipulated legally.