With the continuous development of e-commerce, the e-commerce model of fresh agricultural products gradually integrates from online to offline. O2O (combination of online and offline) is a new e-commerce model that has emerged rapidly in recent years. Consumers can search for nearby businesses by using the smart phone positioning function, place orders on the mobile phone, and make mobile payments, so as to have a consumer experience in the business. This model can greatly shorten consumers' purchase path and decision-making time, and provide consumers with a better shopping experience. Therefore, based on the analysis of the development status of O2O e-commerce model for fresh agricultural products, this paper constructs a relevant theoretical model based on consumer behavior theory and the characteristics of O2O e-commerce model for fresh agricultural products. Through analysis, it is concluded that consumer behavior is affected by their purchase intention, which is also affected by perceived ease of use, perceived usefulness, perceived risk, platform trust The impact of personal innovation and the accessibility of offline delivery, etc., and based on the data of online and offline questionnaires as the analysis sample, SPSS and AMOS software were used to analyze and verify the proposed assumptions, so as to analyze the key influencing factors of consumer behavior under the O2O e-commerce environment of fresh agricultural products.
Published in | International Journal of Agricultural Economics (Volume 7, Issue 6) |
DOI | 10.11648/j.ijae.20220706.11 |
Page(s) | 254-260 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2022. Published by Science Publishing Group |
Fresh Agricultural Products, Online to Offline E-commerce, Consumer Behavior, Model
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APA Style
Jun Wang, Ying Zhou, Yifu Yuan, Le Luo. (2022). Research on Consumer Behavior Model of Fresh Agricultural Products Under Online to Offline E-commerce Mode. International Journal of Agricultural Economics, 7(6), 254-260. https://doi.org/10.11648/j.ijae.20220706.11
ACS Style
Jun Wang; Ying Zhou; Yifu Yuan; Le Luo. Research on Consumer Behavior Model of Fresh Agricultural Products Under Online to Offline E-commerce Mode. Int. J. Agric. Econ. 2022, 7(6), 254-260. doi: 10.11648/j.ijae.20220706.11
@article{10.11648/j.ijae.20220706.11, author = {Jun Wang and Ying Zhou and Yifu Yuan and Le Luo}, title = {Research on Consumer Behavior Model of Fresh Agricultural Products Under Online to Offline E-commerce Mode}, journal = {International Journal of Agricultural Economics}, volume = {7}, number = {6}, pages = {254-260}, doi = {10.11648/j.ijae.20220706.11}, url = {https://doi.org/10.11648/j.ijae.20220706.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijae.20220706.11}, abstract = {With the continuous development of e-commerce, the e-commerce model of fresh agricultural products gradually integrates from online to offline. O2O (combination of online and offline) is a new e-commerce model that has emerged rapidly in recent years. Consumers can search for nearby businesses by using the smart phone positioning function, place orders on the mobile phone, and make mobile payments, so as to have a consumer experience in the business. This model can greatly shorten consumers' purchase path and decision-making time, and provide consumers with a better shopping experience. Therefore, based on the analysis of the development status of O2O e-commerce model for fresh agricultural products, this paper constructs a relevant theoretical model based on consumer behavior theory and the characteristics of O2O e-commerce model for fresh agricultural products. Through analysis, it is concluded that consumer behavior is affected by their purchase intention, which is also affected by perceived ease of use, perceived usefulness, perceived risk, platform trust The impact of personal innovation and the accessibility of offline delivery, etc., and based on the data of online and offline questionnaires as the analysis sample, SPSS and AMOS software were used to analyze and verify the proposed assumptions, so as to analyze the key influencing factors of consumer behavior under the O2O e-commerce environment of fresh agricultural products.}, year = {2022} }
TY - JOUR T1 - Research on Consumer Behavior Model of Fresh Agricultural Products Under Online to Offline E-commerce Mode AU - Jun Wang AU - Ying Zhou AU - Yifu Yuan AU - Le Luo Y1 - 2022/11/11 PY - 2022 N1 - https://doi.org/10.11648/j.ijae.20220706.11 DO - 10.11648/j.ijae.20220706.11 T2 - International Journal of Agricultural Economics JF - International Journal of Agricultural Economics JO - International Journal of Agricultural Economics SP - 254 EP - 260 PB - Science Publishing Group SN - 2575-3843 UR - https://doi.org/10.11648/j.ijae.20220706.11 AB - With the continuous development of e-commerce, the e-commerce model of fresh agricultural products gradually integrates from online to offline. O2O (combination of online and offline) is a new e-commerce model that has emerged rapidly in recent years. Consumers can search for nearby businesses by using the smart phone positioning function, place orders on the mobile phone, and make mobile payments, so as to have a consumer experience in the business. This model can greatly shorten consumers' purchase path and decision-making time, and provide consumers with a better shopping experience. Therefore, based on the analysis of the development status of O2O e-commerce model for fresh agricultural products, this paper constructs a relevant theoretical model based on consumer behavior theory and the characteristics of O2O e-commerce model for fresh agricultural products. Through analysis, it is concluded that consumer behavior is affected by their purchase intention, which is also affected by perceived ease of use, perceived usefulness, perceived risk, platform trust The impact of personal innovation and the accessibility of offline delivery, etc., and based on the data of online and offline questionnaires as the analysis sample, SPSS and AMOS software were used to analyze and verify the proposed assumptions, so as to analyze the key influencing factors of consumer behavior under the O2O e-commerce environment of fresh agricultural products. VL - 7 IS - 6 ER -