On The Impact of Organizational Structure on Organizational Efficiency in Industrial Units: Industrial Units of Kerman and Hormozgan Provinces
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Estação Científica (UNIFAP) |
Texto Completo: | https://periodicos.unifap.br/index.php/estacao/article/view/3310 |
Resumo: | The present study using applicable attitude have investigated relationship between organizational structure and efficiency among employed personnel in industrial units of Kerman and Hormozgan provinces. For data collection a standardized Robbins’s (1998) questionnaire to assess the organizational structure and Hersey and Goldsmith’s standard questionnaire is used to assess aspects of organizational productivity. Sample of the study includes Personnel employed in industrial units of Kerman and Hormozgan provinces that using on random sampling and Morgan table, sample size of 384 is considered gathered data are analyzed using correlation coefficient and linear regression. The components of the model and the type of relationship that they have is identified and reported. In order to do analyses Excel and SPSS15 soft wares are used. The findings showed that there is significant relationship between efficiency in industrial units with organizational structure and its components including complexity, formality and concentration. |
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On The Impact of Organizational Structure on Organizational Efficiency in Industrial Units: Industrial Units of Kerman and Hormozgan Provincesorganizational structure, organizational efficiency, industrial units, linear regressionThe present study using applicable attitude have investigated relationship between organizational structure and efficiency among employed personnel in industrial units of Kerman and Hormozgan provinces. For data collection a standardized Robbins’s (1998) questionnaire to assess the organizational structure and Hersey and Goldsmith’s standard questionnaire is used to assess aspects of organizational productivity. Sample of the study includes Personnel employed in industrial units of Kerman and Hormozgan provinces that using on random sampling and Morgan table, sample size of 384 is considered gathered data are analyzed using correlation coefficient and linear regression. The components of the model and the type of relationship that they have is identified and reported. In order to do analyses Excel and SPSS15 soft wares are used. The findings showed that there is significant relationship between efficiency in industrial units with organizational structure and its components including complexity, formality and concentration.Universidade Federal do AmapáGhorbannejad Estalaki, Kamran2017-12-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.unifap.br/index.php/estacao/article/view/331010.18468/estcien.2017v7n3.p95-105Estação Científica (UNIFAP); v. 7, n. 3 (2017); 95-105Estação Científica (UNIFAP); v. 7, n. 3 (2017); 95-1052179-1902reponame:Estação Científica (UNIFAP)instname:Universidade Federal do Amapá (UNIFAP)instacron:UNIFAPenghttps://periodicos.unifap.br/index.php/estacao/article/view/3310/kamranv7n3.pdfDireitos autorais 2017 Estação Científica (UNIFAP)http://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccess2017-12-19T17:37:43Zoai:ojs.pkp.sfu.ca:article/3310Revistahttps://periodicos.unifap.br/index.php/estacaoONGhttps://periodicos.unifap.br/index.php/estacao/oai||fernandogentry@hotmail.com2179-19022179-1902opendoar:2017-12-19T17:37:43Estação Científica (UNIFAP) - Universidade Federal do Amapá (UNIFAP)false |
dc.title.none.fl_str_mv |
On The Impact of Organizational Structure on Organizational Efficiency in Industrial Units: Industrial Units of Kerman and Hormozgan Provinces |
title |
On The Impact of Organizational Structure on Organizational Efficiency in Industrial Units: Industrial Units of Kerman and Hormozgan Provinces |
spellingShingle |
On The Impact of Organizational Structure on Organizational Efficiency in Industrial Units: Industrial Units of Kerman and Hormozgan Provinces Ghorbannejad Estalaki, Kamran organizational structure, organizational efficiency, industrial units, linear regression |
title_short |
On The Impact of Organizational Structure on Organizational Efficiency in Industrial Units: Industrial Units of Kerman and Hormozgan Provinces |
title_full |
On The Impact of Organizational Structure on Organizational Efficiency in Industrial Units: Industrial Units of Kerman and Hormozgan Provinces |
title_fullStr |
On The Impact of Organizational Structure on Organizational Efficiency in Industrial Units: Industrial Units of Kerman and Hormozgan Provinces |
title_full_unstemmed |
On The Impact of Organizational Structure on Organizational Efficiency in Industrial Units: Industrial Units of Kerman and Hormozgan Provinces |
title_sort |
On The Impact of Organizational Structure on Organizational Efficiency in Industrial Units: Industrial Units of Kerman and Hormozgan Provinces |
author |
Ghorbannejad Estalaki, Kamran |
author_facet |
Ghorbannejad Estalaki, Kamran |
author_role |
author |
dc.contributor.none.fl_str_mv |
|
dc.contributor.author.fl_str_mv |
Ghorbannejad Estalaki, Kamran |
dc.subject.por.fl_str_mv |
organizational structure, organizational efficiency, industrial units, linear regression |
topic |
organizational structure, organizational efficiency, industrial units, linear regression |
description |
The present study using applicable attitude have investigated relationship between organizational structure and efficiency among employed personnel in industrial units of Kerman and Hormozgan provinces. For data collection a standardized Robbins’s (1998) questionnaire to assess the organizational structure and Hersey and Goldsmith’s standard questionnaire is used to assess aspects of organizational productivity. Sample of the study includes Personnel employed in industrial units of Kerman and Hormozgan provinces that using on random sampling and Morgan table, sample size of 384 is considered gathered data are analyzed using correlation coefficient and linear regression. The components of the model and the type of relationship that they have is identified and reported. In order to do analyses Excel and SPSS15 soft wares are used. The findings showed that there is significant relationship between efficiency in industrial units with organizational structure and its components including complexity, formality and concentration. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-12-04 |
dc.type.none.fl_str_mv |
|
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.unifap.br/index.php/estacao/article/view/3310 10.18468/estcien.2017v7n3.p95-105 |
url |
https://periodicos.unifap.br/index.php/estacao/article/view/3310 |
identifier_str_mv |
10.18468/estcien.2017v7n3.p95-105 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://periodicos.unifap.br/index.php/estacao/article/view/3310/kamranv7n3.pdf |
dc.rights.driver.fl_str_mv |
Direitos autorais 2017 Estação Científica (UNIFAP) http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Direitos autorais 2017 Estação Científica (UNIFAP) http://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal do Amapá |
publisher.none.fl_str_mv |
Universidade Federal do Amapá |
dc.source.none.fl_str_mv |
Estação Científica (UNIFAP); v. 7, n. 3 (2017); 95-105 Estação Científica (UNIFAP); v. 7, n. 3 (2017); 95-105 2179-1902 reponame:Estação Científica (UNIFAP) instname:Universidade Federal do Amapá (UNIFAP) instacron:UNIFAP |
instname_str |
Universidade Federal do Amapá (UNIFAP) |
instacron_str |
UNIFAP |
institution |
UNIFAP |
reponame_str |
Estação Científica (UNIFAP) |
collection |
Estação Científica (UNIFAP) |
repository.name.fl_str_mv |
Estação Científica (UNIFAP) - Universidade Federal do Amapá (UNIFAP) |
repository.mail.fl_str_mv |
||fernandogentry@hotmail.com |
_version_ |
1800218201649315840 |