بررسی عوامل مؤثر بر قصد خرید آنلاین محصولات کشاورزی تازه

نوع مقاله : مقاله پژوهشی

نویسندگان

گروه اقتصاد کشاورزی، دانشکده کشاورزی، دانشگاه فردوسی مشهد، مشهد، ایران

چکیده

بخش کشاورزی به­عنوان یکی از مهم­ترین بخش­های اقتصادی در توسعه و ثبات اقتصادی، سیاسی، داخلی و بین­المللی یکی از بازارهای به­کارگیری شیوه­های نوین برای خرید و فروش محصولات خود است. علیرغم ظرفیت­های ایجاد شده در فضای مجازی و اینترنت، بسیاری از مشتریان به علت عدم اعتماد کافی خرید حضوری را بر خرید آنلاین ترجیح می­دهند. لذا مطالعه حاضر با استفاده از نظریه رفتار برنامه­ریزی شده و الگوسازی معادلات ساختاری به بررسی عوامل مؤثر بر قصد خرید آنلاین محصولات کشاورزی تازه پرداخته است. اطلاعات موردنیاز از طریق ﺗﻜﻤﻴﻞ پرسشنامه و مصاحبه حضوری با 130 نفر از مصرف­کنندگان ساکن شهر مشهد با استفاده از روش نمونه­گیری گلوله برفی در سال 1402 جمع­آوری گردید. نتایج‌ نشان داد متغیرهای کیفیت، هنجار ذهنی، کنترل رفتار درک شده و نگرش بر قصد خرید آنلاین محصولات کشاورزی تازه تأثیر مثبت و معنادار دارند. همچنین متغیر قیمت بر قصد خرید آنلاین محصولات کشاورزی تازه تأثیر منفی و معنادار دارد. با در نظر گرفتن پارامترهای برآورد شده نگرش، هنجار ذهنی و کیفیت درک شده با ضرایب 41/0 و 24/0، 22/0 به ترتیب مهم­ترین عوامل مؤثر برقصد خرید آنلاین می­باشند. لذا با توجه به ویژگی­های محصولات کشاورزی تازه از جمله فسادپذیری، استفاده از بسته­بندی مناسب و تحویل به­موقع اقلام تازه می­تواند در حفظ کیفیت درک شده محصولات اثر بسیاری داشته باشد. همچنین با توجه به تأثیر مثبت نگرش بر قصد خرید آنلاین محصولات کشاورزی تازه، انتشار اطلاعات در مورد مزایای خرید آنلاین و محصولات کشاورزی در حال معامله که به مصرف­کننده فرصت مقایسه محصولات مختلف را می­دهد، می­تواند راهی برای پرورش نگرش مثبت مصرف­کنندگان باشد.

کلیدواژه‌ها


Extended Abstract

Objectives

The agricultural sector, as one of the most important economic sectors in economic, political, domestic, and international development and stability, is one of the markets that uses new methods to buy and sell its products. Despite the capacities created in virtual space and the Internet, many customers prefer face-to-face shopping over online shopping due to insufficient trust. Therefore, the aim of this paper is to investigate the factors affecting the intention to purchase fresh agricultural products online. In this study, in addition to the three factors in the theory of planned behavior, the effect of product characteristics (price and perceived quality) on the intention to online purchase fresh agricultural products has been investigated. The following hypotheses were proposed based on the purposes of the paper:

H1: Price has a Negative and significant effect on the intention to online purchase fresh agricultural products.

H2: The perceived quality of the product has a positive and significant effect on the intention to online purchase fresh agricultural products.

H3: Subjective norms have a positive and significant effect on the intention to online purchase fresh agricultural products.

H4: Perceived behavioral control has a positive and significant effect on the intention to online purchase fresh agricultural products.

H5: Attitude has a positive and significant effect on the intention to online purchase fresh agricultural products.

 

Methods

The Theory of Planned Behavior is one of the most widely applied and accepted models of the belief attitude-behavior relationship, which states that three independent predictors, namely, perceived behavioral control, behavioral attitudes, and subjective norm, all together lead to the formation of a behavioral intention. The Theory of Planned Behavior is useful for understanding and predicting consumer intention and behavior in various fields. Various studies indicate that the components of the theory of planned behavior have a suitable model for predicting the intention of consumers' behavior in the field of consumer studies and behaviors. Relationships among the variables were analyzed using the multivariate analysis technique Partial Least Squares-Structural Equation Modeling (PLS-SEM). Firstly, the measurement model was utilized to test the validity and reliability of the model, and then the structural model was tested for the model fit and hypothesis testing. The research data was analyzed by the partial least squares method using Smart PLS software.

Results

Results show that given the factor loading values and model fitting indexes, the indicators (observed variables) have the necessary accuracy to measure latent variables. The findings of the structural model and hypothesis testing reveal that basic components of planning behavior theory have a positive and significant effect on the intention to purchase fresh agricultural products online. Therefore, the study's hypotheses 3, 4, and 5 were confirmed. Among the basic components, attitude is the most important factor affecting consumers' online purchases. If a person has a positive attitude towards online purchases, the grounds for forming online purchase intention can be created. As a result, hypothesis 5 is confirmed.   Based on the results of the structural model, perceived quality has a positive effect on consumers' purchase intention. This means that the better the quality of fresh agricultural products, including fruits and vegetables, that e-commerce platforms provide, the stronger the desire of consumers to purchase online. Based on this, the second hypothesis of the study is confirmed.  Also, the model fitting indexes and model values in the acceptable range demonstrate that the structural model fits the data well.

 

Discussion

- First, it is necessary to emphasize the attitude of the consumer. According to the confirmation of the fifth hypothesis regarding the positive effect of attitude on the intention to purchase fresh agricultural products online, publishing information about the benefits of purchasing fresh agricultural products online, as well as information about agricultural products being traded, allows the consumer to compare different products. It can be a way to cultivate the positive attitude of consumers. The more information provided about the product, the more knowledge the community has about the sold products, thus reducing their risk perception. Information can be provided through social media as the closest source of information in today's society. Companies can use marketing trends through influencers such as celebrities and bloggers to provide this information.

- Due to the positive effect of perceived quality on purchase intention and considering the characteristics of fresh agricultural products, it is necessary to fully control the entire process from production to consumption throughout the supply chain to ensure that consumers can purchase fresh and healthy products. Also, according to the characteristics of fresh agricultural products, including perishability, the use of appropriate packaging and timely delivery of fresh items can have a great effect on maintaining the quality of products.

- According to the confirmation of the third hypothesis regarding the positive effect of subjective norms on the intention to purchase fresh agricultural products online, the use of targeted and continuous advertisements of reference groups in the target markets regarding the benefits of online purchase of these products can positively influence consumers’ purchase intentions.

- According to the confirmation of the first hypothesis regarding the negative effect of price on the intention to purchase fresh agricultural products online, to adjust the impact of price on the online purchase of agricultural products, an option called Grades 1 and 2 can be presented to purchase options with different prices. By seeing the Grade 1 or premium option next to the product name, the consumer believes that if he pays more, he will get a better and fresher product, so he is convinced to pay a higher price.

Author Contributions

Conceptualization, B.Zandi Darehgharibi and M.Rajabzadeh.; methodology, B.Zandi Darehgharibi.; software, B.Zandi Darehgharibi.; validation, B.Zandi Darehgharibi, A.Karbasi; formal analysis, B.Zandi Darehgharibi and M.Rajabzadeh; investigation, B.Zandi Darehgharibi and M.Rajabzadeh; resources, B.Zandi Darehgharibi and M.Rajabzadeh; data curation, M.Rajabzadeh; writing—original draft preparation, B.Zandi Darehgharibi ; writing—review and editing, B.Zandi Darehgharibi; visualization, B.Zandi Darehgharibi and M.Rajabzadeh; supervision, A.Karbasi.

Data Availability Statement

Data available on request from the authors.

Acknowledgements

The authors would like to thank all participants of the present study.

Ethical considerations

The study was approved by the Ethics Committee of the University of ABCD (Ethical code: IR.UT.RES.2024.500). The authors avoided data fabrication, falsification, plagiarism, and misconduct.

Conflict of interest

The author declares no conflict of interest

REFERENCES
Aghasafari, H., Karbasi, A., & Aminizadeh, M. (2023). Factors Influencing the Intention to Purchase Organic Food (Case Study: Mashhad City). Iranian Journal of Agricultural Economics and Development Research, 54-2 (2), 329-415 (In Persian).
Amiri, A., Jafari, S.M.B., & Aboali, M.H. (2016). Factors Influencing the Adoption of E-Commerce in the Iranian Agricultural Sector. Organizational Culture Management, 14(2), 541-565 (In Persian).
Alizadeh Zovarem A., & Rajabzadeh M. (2017). Investigating the factors affecting the online shopping behavior of customers using the theory of planned behavior. Scientific Journal of New Research Approaches in Management and Accounting, 1(3), 13-32  (In Persian).
Almasitabar, H., & Namamian, F. (2019). Investigating the Factors Affecting Consumer Purchasing Behavior through the Mediating Role of Client's Intention Based on the Theory of Planned Behavior. Consumer Behavior Studies Journal, 6(2), 199-218  (In Persian).
Al-Swidi, A., Rafiul Huque, S.M., Haroon Hafeez, M. & Mohd Shariff, M.N. (2014). The role of subjective norms in theory of planned behaviour in the context of organic food consumption. British Food Journal, 116(10), 1561-1580.
Armitage, C. J., & Conner, M. (2001). Efficacy of the theory of planned behavior. A meta-analytic review. British Journal of Social Psychology, 40, 471-499.
Armstrong, G., & Kotler, P. (2003). Marketing: An introduction (6th Ed.). New Jersey: Pearson Prentice Hall.
Ajzen, I. (1985). From intentions to actions: a theory of planned behavior, in: Kuhl, J. Beckmann, J. (Eds.), Action Control: from Cognitionto Behavior. Springer-Verlag, Berlin, Heidelberg, New York, PP. 11-39.
Cote, L., Sabourin, V. & Vézina, M. (2005). The Strategic Management Process in Business, Retrieved June 25, 2016, Ivey Business Journal: http //iveybusinessjournal.com/publication/the-strategic-management-process-in-e-business.
Cang, Y.M., Wang, D. (2021). A comparative study on the online shopping willingness of fresh agricultural products between experienced consumers and potential consumers. Sustainable Computing: Informatics and Systems, 30, 100493
Chankeshi, S., Ghafari Ashtiani, P., Hosseini Ghoncheh, S.J. (2021). The effect of trust, customer service and convenience on the willingness to buy online with the role of attitude towards online shopping (case study: Digistyle). Journal of Marketing Management, 3(16), 1-19  (In Persian).
Ebrahimi, A.H, Dehdashti Shahrokh, Z., & Mahdieh, O. (2011). Investigating effective factors and problems of companies in using e-commerce (case study: Iranian export companies). Scientific Journal of Business Strategies, 8(44), 395-416  (In Persian).
Feng, SH. (2022). A Study of Influencing Factors of Consumers' Willingness to Buy Fresh Fruits and Vegetables Online In Underdeveloped Areas Based On Consumer Survey in Tongren City, Guizhou Province. Journal of Buddhist Education and Research (JBER), 8(3).
Fornell, C., & Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error Journal of Marketing Research, 18, 39–50.
Ghoreishi-Dinani, S., Pendar, M., Rafiee, H., & Pourgholam-Amiji, M. (2023). .Investigating the Factors Affecting the Customer's Intention to buy from the Online Markets of Agricultural Products (Case Study: Tehran City). Agricultural Economics, 16(4), 147-190  (In Persian).
Gupta, A., Su, B., and Walter, Z. (2004), Risk profile and consumer shopping behavior in electronic and traditional channels, Decision Support System, 38, 347-367.
Ghorbanizadeh, V., Nangir, H., & Roodsaz, H. (2018). "Meta-analysis of effective factors on the adoption of information technology in Iran", Management researches in Iran, 17(2) 1-19.
Hsu, C. L., Chang, C. Y. & Yansritakul, C. (2017). Exploring purchase intention of green skincare products using the theory of planned behavior: Testing the moderating effects of country of origin and price sensitivity. Journal of Retailing and Consumer Services, 34(30), 145-152.
Hair, J.F., Black,W.C., Babin, B.J., Anderson, R.E., & Tatham, R.L. (2011). Multivariate Data Analysis; Pearson Prentice Hall: New Delhi, India.
Hughes, D., and Merton, I. (1996). Partnership in produce: the j Sainsbury approach to managing the fresh produce supply chain. Supply Chain Manage International Journal, 1, 4–6.
Jiang, P. (2002), a model of price search behavior in electronic marketplace. Internet Research: Electronic Networking Application and Policy, 12 (2), 181-190.
Jin, B. & George, B. (2013). Consumers ’purchase intention toward foreign brand goods. Journal of Management Decision. 51(2).434-450.
Jin, B., & Yong, G. S. (2005). Integrating effect of consumer perception factors in predicting private brand purchase in a Korean discount store context. Journal of Consumer Marketing, 22, 62 –71.
Konjkav Monfared, A.R., Jamadi, A., Doaei, Z., & Haghbin, A. (2023). The Effect of Marketing Mix on Brand Equity in Saffron Industry. Journal of Agricultural Economics & Development 37(1): 103-117 (In Persian).
Liu, M., Jia, W., Yan, W., He, J. (2023). Factors influencing consumers’ repurchase behavior on fresh food e-commerce platforms: An empirical study. Advanced Engineering Informatics, 56, 101936.
Limayem, M., Khalifa, M., and Frini, A. (2000). What makes Consumers Buy from the Internet? A Longitudinal Study of Online Shopping, IEEE Transactions on Systems, Man, and Cybernetics, 30(4), 421-432.
Manouselis, N.; Konstantas, A.; Palavitsinis, N. Costopoulou, C.; Sideridis, A. B. (2009). A survey of Greek agricultural e-markets. Agricultural Economics Review, 10(1), 97-112.
Mummalaneni, V. (2005). An empirical investigation of Web site characteristics, consumer emotional states, and online shopping behaviors. Journal of Business Research, 58(4), 526-532.
McEachan, R. R. C., Conner, M., Taylor, N. J., & Lawton, R. J. (2011). Prospective prediction of health-related behaviors with the theory of planned behavior: a meta-analysis. Health Psychology Review, 5, 97-144.
Naeimi, A., Pazashkirad, G.R., Chizari, M., Hoseini, F. (2012). The challenges of e-commerce development in the agricultural sector from the point of view of the experts of the Ministry of Jihad Agriculture. Extension research and agricultural education, 4(4), 29-41 (In Persian).
Omidbakhsh, E. (2017). Investigating people's behavior in online shopping, the first national creative economy conference, Islamic Azad University, West Tehran branch (In Persian).
Omani, A., Mousaei, M. (2013). Factors affecting the attitude of rural youth in Kohgiluyeh and Boyer Ahmad provinces towards employment in the agricultural sector. Extension research and agricultural education, 3(2), 50-37.
Poorebrahim, E., & Shokri, T. (2020). An Investigation on Ranking of the Factors Affecting Consumers' Desire to Buy Online. Commercial Surveys, 18(103), 65-88 (In Persian).
Raman, P. (2019). Understanding female consumers’ intention to shop online: The role of trust, convenience and customer service. Asia Pacific Journal of Marketing and Logistics. 31(4), 1138-1160.
Rahmawati, N.A., Suroso, A.I., Ramadhan, A. (2018). Factors Influencing the Purchase Intention in Online Organic Fruit and Vegetable Stores. Journal Manajemen & Agribisnis, 15(3), 209-220.
Sandoghi, A. & Raheli, H. (2017). Extending the model of planned behavior to predict the intention of producing organic products among Isfahan cucumber greenhouse owners by Moral norm variable. Iranian Journal of Agricultural Economics and Development Research, 47-2(4), 961-974. (In Persian)
Sharghi, T., & Rezaee Ahmadabady, M. (2023). Explaining the behavioral intention of organic production among
pistachio farmers in the central part of Ardakan County, Yazd province. Iranian Journal of Agricultural Economics and Development Research, 54-2 (2), 519-541.
Thananuraksakul, S. (2007), Factors Affecting Online Shopping Behaviour: A Study of Thai Consumers, Patricia Arttachariya, Doctor of Business Administration, International Graduate School of Business, University of South Australia.
Verma, V. K. & Chandra, B. H. (2018). An application of theory of planned behavior to predict young Indian consumers' green hotel visit intention. Journal of Cleaner Production, 172, 1152-1162.
Wang, J., Tao, J., & Chu, M. (2020). Behind the label: Chinese consumers’ trust in food certification and the effect of perceived quality on purchase intention. Food Control, 108, 1-10.
Wei, Y., Wang, C., Zhu, S., Xue, H. and Chen, F. (2018). Online Purchase Intention of Fruits: Antecedents in an Integrated Model Based on Technology Acceptance Model and Perceived Risk Theory. Frontiers in Psychology, 9, 1521.
Wang, M., Chen, C, Chang, S., & Yang, Y. (2007). Effects of online shopping attitudes, subjective norms, and control beliefs on online shopping intentions: A test of the theory of planned behavior. International Journal of Management, 24(2), 296- 302.
Wu, S. (2003). The relationship between consumer characteristics and attitude toward online shopping, Marketing Intelligence & Planning, 21, 37-44.
Zhang, X., Prybutok, V. R., & Strutton, D. (2007). Modeling Influences on impulse purchasing behaviors during online marketing transactions, Journal of Marketing Theory and Practice, 15(1), 79-89.