Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Elsayed A. H. Elamir"'
Publikováno v:
International Journal for Quality Research, Vol 18, Iss 3, Pp 893-910 (2024)
The purpose of this paper is to examine the bidirectional relationship between two sets of variables, higher education and training (eight indicators) and innovation (seven indicators), using the canonical correlation analysis (CCA). The study utilis
Externí odkaz:
https://doaj.org/article/518f32261c8b4b7ba76f3c636a19e300
Autor:
Elsayed A. H. Elamir
Publikováno v:
Revstat Statistical Journal, Vol 21, Iss 3 (2023)
The problem of homoscedasticity arises in several fields such as business, education, environments, and medicine, and common question in many statistical analyses. One of the most important tests in this direction is Levene test and its robust versio
Externí odkaz:
https://doaj.org/article/790c472fef0b4e929b245dda4b7b4e0c
Autor:
Elsayed A. H. Elamir
Publikováno v:
Investment Management & Financial Innovations, Vol 17, Iss 2, Pp 51-68 (2020)
The regression tree approach is an effective and easy to interpret technique where it utilizes a recursive binary partitioning algorithm that divides the sample into partitioning variables with the strongest correlation to the response variable. Earn
Externí odkaz:
https://doaj.org/article/d8e6b3de1a7e4d10a27d6342fb1625ef
Autor:
Elsayed A. H. Elamir
Publikováno v:
Problems and Perspectives in Management, Vol 18, Iss 1, Pp 206-218 (2020)
This study aims to explore the determinant indicators for the labor market efficiency and the higher education and training factors that can help in increasing the productivity in labor market and the quality in higher education and training, as well
Externí odkaz:
https://doaj.org/article/95e30fbc8a1940919e2fea530e724bc0
Autor:
Elsayed A. H. Elamir, Gehan A. Mousa
Publikováno v:
Banks and Bank Systems, Vol 14, Iss 2, Pp 9-23 (2019)
This study is of an exploratory nature as it seeks to explore the extent to which the language of emotions in the banks’ annual reports is affected by the global financial crisis (GFC). The language of emotions was analyzed using eight categories (
Externí odkaz:
https://doaj.org/article/af78cb9ba20843f79ce2c62129c11223
Autor:
Gehan A. Mousa, Elsayed A. H. Elamir
Publikováno v:
Problems and Perspectives in Management, Vol 16, Iss 3, Pp 130-149 (2018)
The study assesses corporate forward-looking disclosure by measuring four attributes, namely disclosure quantity, disclosure coverage, disclosure concentration and disclosure quality, through a sample of 34 listed firms in the Bahrain Bourse from 201
Externí odkaz:
https://doaj.org/article/ebff2cba5cbe496c9db22e9b393573b5
Autor:
Elsayed A. H. Elamir
Publikováno v:
International Journal of Computing and Digital Systems. 10:1031-1041
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83a0c2de99a6b637c3950ca7be4249d6
https://doi.org/10.12785/ijcds/100193
https://doi.org/10.12785/ijcds/100193
Publikováno v:
International Journal of Disclosure and Governance. 19:93-112
We use three supervised machine learning methods, namely linear discriminant analysis, quadratic discriminant analysis, and random forest, to predict corporate financial performance. We use a sample of 63 listed banks from eight emerging markets, cov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fec94d5719f29f97bff2e0638bc5760
https://doi.org/10.1057/s41310-021-00129-x
https://doi.org/10.1057/s41310-021-00129-x
Autor:
Qais M. Al Bawab, Elsayed A. H. Elamir
Publikováno v:
2021 International Conference on Data Analytics for Business and Industry (ICDABI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1dca48141de92ec86e880a6d5f16b82c
https://doi.org/10.1109/icdabi53623.2021.9655868
https://doi.org/10.1109/icdabi53623.2021.9655868
Autor:
Gehan A. Mousa, Elsayed A. H. Elamir
Publikováno v:
Banks and Bank Systems, Vol 14, Iss 2, Pp 9-23 (2019)
This study is of an exploratory nature as it seeks to explore the extent to which the language of emotions in the banks’ annual reports is affected by the global financial crisis (GFC). The language of emotions was analyzed using eight categories (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be300917fd644b76367cc4b608b419bd
https://doi.org/10.21511/bbs.14(2).2019.02
https://doi.org/10.21511/bbs.14(2).2019.02