Study on the Factors Influencing the Purchasing Intention of Lintong Pomegranate
DOI: https://doi.org/10.62381/ACS.AEMS2025.04
Author(s)
Xinyang Yi, Yali Kang, Tiantian Kou, Leni Wu, Bei Qiao*
Affiliation(s)
Xi'an Polytechnic University, Xi'an, Shaanxi, China
*Corresponding Author
Abstract
The State Council's Circular on the 14th Five-Year Plan for Promoting Agricultural and Rural Modernization emphasizes strengthening the construction of advantageous zones for characteristic agricultural products. Lintong pomegranate, a specialty of Lintong District, Xi'an City, Shaanxi Province, generates an annual direct output value of 640 million yuan and a comprehensive value of 1.5 billion yuan, serving as a key economic pillar. However, studies indicate bottlenecks in sales channels, marketing awareness, and market influence that hinder its development. This study investigates the key factors affecting consumers' purchase intention for Lintong pomegranates from their perspective to enhance sales and optimize marketing strategies. Using text mining, consumer reviews from e-commerce platforms are analyzed with Chinese word splitting and LDA topic modeling to extract evaluation data. Based on TPB theory, a model framed by SOR theory is constructed, with attitude, subjective norms, and perceived behavioral control as antecedent variables (S), perceived value and pleasantness as mediators (O), and purchase intention as the outcome (R). Through stratified and multi-stage sampling, 577 valid questionnaires were collected, and logistic regression and cluster analysis were applied to profile consumers for precision marketing. Structural equation modeling assessed causality and variable importance, identifying critical factors and mechanisms influencing purchase intention, thus providing a scientific basis for optimizing product strategies, enhancing market competitiveness, and supporting the sustainable development of the Lintong pomegranate industry.
Keywords
Lintong Pomegranate; PPS Sampling; Text Mining Method; TPB Theory; Cluster Analysis; Structural Equation Modeling
References
[1] Ministry of Agriculture and Rural Affairs. Notice of the Ministry of Agriculture and Rural Affairs on announcing the list of the fifth batch of China's important agricultural cultural heritage[J]. Guangming, 2020, (1): 1-2.
[2] Yang Jianbin. Status quo and development countermeasures of pomegranate industry in Lintong District, Xi'an[J]. Guizhou Agricultural Science,2018,46(06):161-163.
[3] Jia Zhiyan,Dong Panjie. On the Possibility of Implementing Pomegranate Fruit Culture Farms in Lintong, Shaanxi-A Practice of Innovative Entrepreneurship Program for College Students[J]. Farm Economic Management,2021,(09):26-28.
[4] LI Xiaomin,HE Jingjing,YAN Mouchun. Brand marketing strategy of Lintong pomegranate[J]. Agricultural Engineering,2022,12(10):156-159.
[5]Wang Hui. Challenges and Countermeasures for the Development of Pomegranate Industry in Lintong District, Xi'an City under the Background of Rural Revitalization[J]. Rural Economy and Science and Technology,2024,35(20):95-98.
[6] ZHANG Huan, YAN Mouchun, SU Kemeng. Development status of pomegranate industrialization in Lintong and its problems and countermeasures[J]. Guizhou Agricultural Science,2022,50(03):90-95.
[7] Ajzen I. The theory of planned behavior[J]. Organizational Behavior and Human Decision Processes, 1991, 50(2): 179-211.
[8] Fishbein M, Ajzen I. Belief, attitude, intention, and behavior: an introduction to theory and research[M]. Reading, MA: Addison-Wesley, 1975.
[9] Taylor S, Todd P A. Understanding information technology usage: a test of competing models[J]. Information Systems Research, 1995, 6(2): 144-176.
[10] Venkatesh V, Morris M G, Davis G B, et al. User acceptance of information technology: towards a unified view[J]. MIS Quarterly, 2003, 27(3): 425-478.
[11] Zeithaml V A. Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence[J]. Journal of Marketing, 1988, 52(3): 2-22.
[12] Sweeney J C, Soutar G N. Consumer Perceived Value: the development of a multiple item scale[J]. Journal of Retailing, 2001, 77(2): 203-220.
[13] Davis F D, Bagozzi R P, Warshaw P R. Extrinsic and intrinsic motivation to use computers in the workplace[J]. Journal of Applied Social Psychology, 1992, 22(14): 1111-1132.
[14] Van der Heijden H. User acceptance of hedonic information systems[J]. MIS Quarterly, 2004, 28(4): 695-704.
[15] Tang Hongtao, Yu Jiapeng, Chen Jie. Quantitative Research on Digital Rural Policies from a Textual Analysis Perspective —— Based on FastText and Text Mining Methods [J]. Journal of Knowledge Management Forum, 2024,9(03):237-252.
[16] Mu Yu. The Impact of Brand Attitude-Based Perceived Product Innovation on Consumer Purchase Intention [D]. Tianjin University of Commerce, 2023.
[17] Lin Jiayu. The Influence of "Three Same" Food Perceived Value on Purchase Intention-Taking Consumer Food Safety Attitude as an Example [J]. Guangdong Economic, 2025, (10):7-9.
[18] Zong Yi, Yu Xinxin, Tian Rong, et al. A Study on Customer Perceived Value Evaluation in Online Shopping Based on T-FAHP: A Case Study of Platform A [J]. Mathematics Practice and Understanding, 2023,53(03):127-135.