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Use of production functions in assessing the profitability of shares of insurance companies

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 11 No. 2 (2021)

DOI
10.11591/ijece.v11i2.pp1539-1548
ISSN
2722-2578, 2088-8708
Published
2021-04-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

In this study the production functions (Cobb-Douglas, Zener-Rivanker, and the transcendental production function) have been used to assess the profitability of insurance companies, by reformulating these nonlinear functions based on the introduction of a set of variables that contribute to increase the explanatory capacity of the model. Then the best production function commensurate with the nature of the variable representing the profitability of insurance companies was chosen, to use it to assess the efficiency of their profitability versus the use of different factors of production and thus the possibility of using it in forecasting. It was found that the proposed model of the production function "Zener-Rivanker" is the best production functions representing the profitability of the Tawuniya and Bupa Insurance Companies. The proposed model of the Cobb-Douglas production function is suitable for the results of both Enaya and Sanad Cooperative Insurance Companies. The explanatory capacity of the production functions was also increased when the proposed variables were added (net subscribed premiums-net claims incurred).

Collaboration network of the authors

40 authors · 206 co-authorship links · 79 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Imam Abdulrahman Bin Faisal University
  • Al-Balqa Applied University
  • Taibah University
  • Amman Arab University
  • Fujairah University
  • Wenzhou-Kean University
  • King Hussein Cancer Center
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Ghaith M. JaradatAmman Arab University9
Ibrahim AlmarashdehImam Abdulrahman Bin Faisal University9
Usama A. BadawiImam Abdulrahman Bin Faisal University8
Firas HaddadImam Abdulrahman Bin Faisal University8
Fahad AlGhamdiImam Abdulrahman Bin Faisal University7
Malek AlzaqebahImam Abdulrahman Bin Faisal University6
Sana JawarnehImam Abdulrahman Bin Faisal University5
Hayat AlfaghamImam Abdulrahman Bin Faisal University5
Jehad Saad AlqurniImam Abdulrahman Bin Faisal University4
Mohammed Fahed TayfourImam Abdulrahman Bin Faisal University4
Nashat AlrefaiImam Abdulrahman Bin Faisal University3
Eman A. E. AhmedImam Abdulrahman Bin Faisal University3
Yousef QawqzehFujairah University2
Muneerah AlshabanahImam Abdulrahman Bin Faisal University2
Daniah AlrajhiImam Abdulrahman Bin Faisal University2
Hanouf AlkhaldiImam Abdulrahman Bin Faisal University2
Rami Mustafa A. MohammadImam Abdulrahman Bin Faisal University2
Ibrahim Al-marashdehAffiliation unknown2
Mohammad AlmatariAl-Balqa Applied University2
Belal AbuhaijaWenzhou-Kean University2
Aladeen AlloubaniKing Hussein Cancer Center2
Tamer FaragImam Abdulrahman Bin Faisal University2
Walaa HassanImam Abdulrahman Bin Faisal University2
Ahmad Mohamad Al-SmadiAl-Balqa Applied University1
Abdel Karim BaarehAl-Balqa Applied University1
Hayam AbouelmagdImam Abdulrahman Bin Faisal University1
Osman Saad ShidwanImam Abdulrahman Bin Faisal University1
Ali Al‐YousefJerash University1
Anmar Abu-HamdahAffiliation unknown1
Khalid ShakerUniversity of Anbar1
Anmar AbuhamdahTaibah University1
Wadii BoulilaTaibah University1
Anas Mohammad Ali QuteishatAl-Balqa Applied University1
Roba Mahmoud Ali AloglahAl-Balqa Applied University1
Ahmad Mohammad AlsmadiAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Use of production functions in assessing the profitability of shares of insurance companies</dc:title><dc:creator>Alkhasawneh, Raed Ali</dc:creator><dc:creator>Farhan Mohamed, Ahmed Mohamed</dc:creator><dc:creator>Jaradat, Samir Abdulwahab</dc:creator><dc:creator>Torky, M. Sh.</dc:creator><dc:creator>Alsmadi, Mutasem K.</dc:creator><dc:description>&lt;jats:p&gt;In this study the production functions (Cobb-Douglas, Zener-Rivanker, and the transcendental production function) have been used to assess the profitability of insurance companies, by reformulating these nonlinear functions based on the introduction of a set of variables that contribute to increase the explanatory capacity of the model. Then the best production function commensurate with the nature of the variable representing the profitability of insurance companies was chosen, to use it to assess the efficiency of their profitability versus the use of different factors of production and thus the possibility of using it in forecasting. It was found that the proposed model of the production function "Zener-Rivanker" is the best production functions representing the profitability of the Tawuniya and Bupa Insurance Companies. The proposed model of the Cobb-Douglas production function is suitable for the results of both Enaya and Sanad Cooperative Insurance Companies. The explanatory capacity of the production functions was also increased when the proposed variables were added (net subscribed premiums-net claims incurred).&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2021-04-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v11i2.pp1539-1548</dc:identifier><dc:identifier>10.11591/ijece.v11i2.pp1539-1548</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 11 No 2 (2021); 1539</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/21177/14720</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>