Drawing a Structural Model by the Most Effective Components on Optimal Global Marketing
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Journal of Operations & Production Management (Online) |
Texto Completo: | https://bjopm.org.br/bjopm/article/view/857 |
Resumo: | Goal: International trade and success in this field is one of the most important goals based on the profitability and reputation among different companies and organizations, in which the most important tool is optimal global and international marketing; therefore, this research aims at drawing the model of structure by the components influencing optimal global marketing. Design / Methodology / Approach: To this end, 385 experts, professionals, and scholars in this field, whose number was determined by the Cochran formula, completed a researcher-made questionnaire. In this paper used the structural equation method. Results: The results show that the application of technology, product quality, price, variety and communication (brand) are the five affecting factors on optimal global marketing. In the meantime, the product quality has the greatest effect on optimal global marketing, and with exception of the diversity which is the indirect predictor of optimal global marketing, other variables directly predict this indicator, as well as the results of fitting the model showed that the created model is an efficient and reliable tool for investigating the components affecting the identification of global optimal marketing. Practical implications: results of this study can be use to increase sales and supply rates of products Because by knowing the best marketing agents can increased the rate of supply of goods and products. Research limitations: This research has been done in Iran, Naturally, it has to be validated for use elsewhere in the world, it is possible that it may not be cited elsewhere or give different results. Originality / Value: It has not been studied so far and the results of this article can be used all over the world. |
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Brazilian Journal of Operations & Production Management (Online) |
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Drawing a Structural Model by the Most Effective Components on Optimal Global MarketingGlobal Marketing; Product Quality; International Trade; TechnologyGoal: International trade and success in this field is one of the most important goals based on the profitability and reputation among different companies and organizations, in which the most important tool is optimal global and international marketing; therefore, this research aims at drawing the model of structure by the components influencing optimal global marketing. Design / Methodology / Approach: To this end, 385 experts, professionals, and scholars in this field, whose number was determined by the Cochran formula, completed a researcher-made questionnaire. In this paper used the structural equation method. Results: The results show that the application of technology, product quality, price, variety and communication (brand) are the five affecting factors on optimal global marketing. In the meantime, the product quality has the greatest effect on optimal global marketing, and with exception of the diversity which is the indirect predictor of optimal global marketing, other variables directly predict this indicator, as well as the results of fitting the model showed that the created model is an efficient and reliable tool for investigating the components affecting the identification of global optimal marketing. Practical implications: results of this study can be use to increase sales and supply rates of products Because by knowing the best marketing agents can increased the rate of supply of goods and products. Research limitations: This research has been done in Iran, Naturally, it has to be validated for use elsewhere in the world, it is possible that it may not be cited elsewhere or give different results. Originality / Value: It has not been studied so far and the results of this article can be used all over the world.Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)2020-03-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed Articleapplication/pdfhttps://bjopm.org.br/bjopm/article/view/85710.14488/BJOPM.2020.002Brazilian Journal of Operations & Production Management; Vol. 17 No. 1 (2020): March, 2020; 1-82237-8960reponame:Brazilian Journal of Operations & Production Management (Online)instname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPROenghttps://bjopm.org.br/bjopm/article/view/857/922Copyright (c) 2020 Farzad Nazari, Soodabeh Najafi, Farnaz Shahsavari, Aylar Zeynalzadehinfo:eu-repo/semantics/openAccessNazari, FarzadNajafi, SoodabehShahsavari, FarnazZeynalzadeh, Aylar2020-03-04T10:41:08Zoai:ojs.bjopm.org.br:article/857Revistahttps://bjopm.org.br/bjopmONGhttps://bjopm.org.br/bjopm/oaibjopm.journal@gmail.com2237-89601679-8171opendoar:2023-03-13T09:45:23.111105Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO)false |
dc.title.none.fl_str_mv |
Drawing a Structural Model by the Most Effective Components on Optimal Global Marketing |
title |
Drawing a Structural Model by the Most Effective Components on Optimal Global Marketing |
spellingShingle |
Drawing a Structural Model by the Most Effective Components on Optimal Global Marketing Nazari, Farzad Global Marketing; Product Quality; International Trade; Technology |
title_short |
Drawing a Structural Model by the Most Effective Components on Optimal Global Marketing |
title_full |
Drawing a Structural Model by the Most Effective Components on Optimal Global Marketing |
title_fullStr |
Drawing a Structural Model by the Most Effective Components on Optimal Global Marketing |
title_full_unstemmed |
Drawing a Structural Model by the Most Effective Components on Optimal Global Marketing |
title_sort |
Drawing a Structural Model by the Most Effective Components on Optimal Global Marketing |
author |
Nazari, Farzad |
author_facet |
Nazari, Farzad Najafi, Soodabeh Shahsavari, Farnaz Zeynalzadeh, Aylar |
author_role |
author |
author2 |
Najafi, Soodabeh Shahsavari, Farnaz Zeynalzadeh, Aylar |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Nazari, Farzad Najafi, Soodabeh Shahsavari, Farnaz Zeynalzadeh, Aylar |
dc.subject.por.fl_str_mv |
Global Marketing; Product Quality; International Trade; Technology |
topic |
Global Marketing; Product Quality; International Trade; Technology |
description |
Goal: International trade and success in this field is one of the most important goals based on the profitability and reputation among different companies and organizations, in which the most important tool is optimal global and international marketing; therefore, this research aims at drawing the model of structure by the components influencing optimal global marketing. Design / Methodology / Approach: To this end, 385 experts, professionals, and scholars in this field, whose number was determined by the Cochran formula, completed a researcher-made questionnaire. In this paper used the structural equation method. Results: The results show that the application of technology, product quality, price, variety and communication (brand) are the five affecting factors on optimal global marketing. In the meantime, the product quality has the greatest effect on optimal global marketing, and with exception of the diversity which is the indirect predictor of optimal global marketing, other variables directly predict this indicator, as well as the results of fitting the model showed that the created model is an efficient and reliable tool for investigating the components affecting the identification of global optimal marketing. Practical implications: results of this study can be use to increase sales and supply rates of products Because by knowing the best marketing agents can increased the rate of supply of goods and products. Research limitations: This research has been done in Iran, Naturally, it has to be validated for use elsewhere in the world, it is possible that it may not be cited elsewhere or give different results. Originality / Value: It has not been studied so far and the results of this article can be used all over the world. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-03-03 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://bjopm.org.br/bjopm/article/view/857 10.14488/BJOPM.2020.002 |
url |
https://bjopm.org.br/bjopm/article/view/857 |
identifier_str_mv |
10.14488/BJOPM.2020.002 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://bjopm.org.br/bjopm/article/view/857/922 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 Farzad Nazari, Soodabeh Najafi, Farnaz Shahsavari, Aylar Zeynalzadeh info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 Farzad Nazari, Soodabeh Najafi, Farnaz Shahsavari, Aylar Zeynalzadeh |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Brazilian Association for Industrial Engineering and Operations Management (ABEPRO) |
publisher.none.fl_str_mv |
Brazilian Association for Industrial Engineering and Operations Management (ABEPRO) |
dc.source.none.fl_str_mv |
Brazilian Journal of Operations & Production Management; Vol. 17 No. 1 (2020): March, 2020; 1-8 2237-8960 reponame:Brazilian Journal of Operations & Production Management (Online) instname:Associação Brasileira de Engenharia de Produção (ABEPRO) instacron:ABEPRO |
instname_str |
Associação Brasileira de Engenharia de Produção (ABEPRO) |
instacron_str |
ABEPRO |
institution |
ABEPRO |
reponame_str |
Brazilian Journal of Operations & Production Management (Online) |
collection |
Brazilian Journal of Operations & Production Management (Online) |
repository.name.fl_str_mv |
Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO) |
repository.mail.fl_str_mv |
bjopm.journal@gmail.com |
_version_ |
1797051461439324160 |