Identifying and categorizing factors affecting e-commerce boom for agricultural products with emphasis on agricultural sustainability
Abstract Background and Objective: The purpose of this study was to identify the factors affecting the e-commerce boom for agricultural products in the world trade environment with an emphasis on agricultural sustainability. Agricultural products paid in 2018-19. Materials and Methods: The statis...
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Format: | Article |
Language: | fas |
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University of Tabriz
2020-11-01
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Series: | Journal of Agricultural Science and Sustainable Production |
Subjects: | |
Online Access: | https://sustainagriculture.tabrizu.ac.ir/article_11448_25ad0c48a52a1da74be8a90bf1d2ed84.pdf |
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author | Shahroz Khorami Hossein Raheli Donya Bayazidnejad |
author_facet | Shahroz Khorami Hossein Raheli Donya Bayazidnejad |
author_sort | Shahroz Khorami |
collection | DOAJ |
description | Abstract
Background and Objective: The purpose of this study was to identify the factors affecting the e-commerce boom for agricultural products in the world trade environment with an emphasis on agricultural sustainability. Agricultural products paid in 2018-19.
Materials and Methods: The statistical population of the study consisted of companies and experts in e-commerce, from 236 identified companies 94 cases were obtained using Cochran formula and the samples were completely randomly collected. A researcher-made questionnaire was used to collect data. In order to analyze the data, exploratory factor analysis and Friedman test were used.
Resykts: The validity of the questionnaire was used by experts in the field and Cronbach's alpha coefficient of 0.82 was used to determine the reliability of the questionnaire. It was confirmed. In this study, the factors affecting e-comerce were identified by exploratory factor analysis, which included various aspects, economic, political, educational, product features, environmental, infrastructure and security, and marketing.
Conclusion: The results showed that total factors affecting e-commerce comprised of 25 factors can be classified into eight groups and Friedman test showed that they included economic, political, educational, and attributes, respectively. Product, environment, infrastructure and security and marketing. |
first_indexed | 2024-12-17T00:12:33Z |
format | Article |
id | doaj.art-4b1313b056e349a19aead149f1380c77 |
institution | Directory Open Access Journal |
issn | 2476-4310 2476-4329 |
language | fas |
last_indexed | 2024-12-17T00:12:33Z |
publishDate | 2020-11-01 |
publisher | University of Tabriz |
record_format | Article |
series | Journal of Agricultural Science and Sustainable Production |
spelling | doaj.art-4b1313b056e349a19aead149f1380c772022-12-21T22:10:48ZfasUniversity of TabrizJournal of Agricultural Science and Sustainable Production2476-43102476-43292020-11-0130325326611448Identifying and categorizing factors affecting e-commerce boom for agricultural products with emphasis on agricultural sustainabilityShahroz Khorami0Hossein Raheli1Donya Bayazidnejad2'گروه اقتصاد کشاورزی کرجگروه توسعه و ترویج کشاورزی، دانشکده کشاورزی، دانشگاه تبریزگروه اقتصاد کشاورزی، دانشگاه ساری ، ایرانAbstract Background and Objective: The purpose of this study was to identify the factors affecting the e-commerce boom for agricultural products in the world trade environment with an emphasis on agricultural sustainability. Agricultural products paid in 2018-19. Materials and Methods: The statistical population of the study consisted of companies and experts in e-commerce, from 236 identified companies 94 cases were obtained using Cochran formula and the samples were completely randomly collected. A researcher-made questionnaire was used to collect data. In order to analyze the data, exploratory factor analysis and Friedman test were used. Resykts: The validity of the questionnaire was used by experts in the field and Cronbach's alpha coefficient of 0.82 was used to determine the reliability of the questionnaire. It was confirmed. In this study, the factors affecting e-comerce were identified by exploratory factor analysis, which included various aspects, economic, political, educational, product features, environmental, infrastructure and security, and marketing. Conclusion: The results showed that total factors affecting e-commerce comprised of 25 factors can be classified into eight groups and Friedman test showed that they included economic, political, educational, and attributes, respectively. Product, environment, infrastructure and security and marketing.https://sustainagriculture.tabrizu.ac.ir/article_11448_25ad0c48a52a1da74be8a90bf1d2ed84.pdfsustainable agriculturee-commerceagricultural productsexploratory factor analysis |
spellingShingle | Shahroz Khorami Hossein Raheli Donya Bayazidnejad Identifying and categorizing factors affecting e-commerce boom for agricultural products with emphasis on agricultural sustainability Journal of Agricultural Science and Sustainable Production sustainable agriculture e-commerce agricultural products exploratory factor analysis |
title | Identifying and categorizing factors affecting e-commerce boom for agricultural products with emphasis on agricultural sustainability |
title_full | Identifying and categorizing factors affecting e-commerce boom for agricultural products with emphasis on agricultural sustainability |
title_fullStr | Identifying and categorizing factors affecting e-commerce boom for agricultural products with emphasis on agricultural sustainability |
title_full_unstemmed | Identifying and categorizing factors affecting e-commerce boom for agricultural products with emphasis on agricultural sustainability |
title_short | Identifying and categorizing factors affecting e-commerce boom for agricultural products with emphasis on agricultural sustainability |
title_sort | identifying and categorizing factors affecting e commerce boom for agricultural products with emphasis on agricultural sustainability |
topic | sustainable agriculture e-commerce agricultural products exploratory factor analysis |
url | https://sustainagriculture.tabrizu.ac.ir/article_11448_25ad0c48a52a1da74be8a90bf1d2ed84.pdf |
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