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The Forecasting Sales Volume and Satisfaction of Organic Products through Text Mining on Web Customer Reviews

Author

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  • Fang Lyu

    (Department of Business Administration, Global Business School, Soonchunhyang University, 22 Soonchunhyang-ro, Asan 31538, Korea)

  • Jaewon Choi

    (Department of Business Administration, Global Business School, Soonchunhyang University, 22 Soonchunhyang-ro, Asan 31538, Korea)

Abstract

The purpose of this study was to predict the online sales volume for organic products, identify important factors for selling organic products, and suggest web marketing strategies for organic product sales. Through the review of organic products on Taobao’s platform, the emotional analysis method is used to divide the review of crawling organic products into positive reviews and negative reviews. Using the Latent Dirichlet Allocation (LDA) method, extracting keywords, identifying important factors for selling organic products, using online survey methods and regression analysis methods, obtaining customers’ purchase intentions, and suggesting web marketing strategies for organic product sales, and by collecting data on organic products’ price, current price, free delivery, sales volume, number of customer reviews, customer reviews, organic labeling, and product fans on Taobao’s platform, the neural network analysis method is used to predict the online sales volume for organic products. This study found that packaging design, nutritional information, food quality, delivery risk, freshness, and source risk are the important online factors in the buying of organic products and the products’ fans, price discount, and number of customer reviews affected the sales volume. Therefore, the promotion of online services and logistics can be used to increase the sales of organic products. This research has an important role in promoting the sale of organic products and improving consumer satisfaction, providing consumers with safe and reliable products, and at the same time has important significance for promoting sustainable development.

Suggested Citation

  • Fang Lyu & Jaewon Choi, 2020. "The Forecasting Sales Volume and Satisfaction of Organic Products through Text Mining on Web Customer Reviews," Sustainability, MDPI, vol. 12(11), pages 1-23, May.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:11:p:4383-:d:363464
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    as
    1. Pedro Núñez-Cacho & Valentín Molina-Moreno & Francisco A. Corpas-Iglesias & Francisco J. Cortés-García, 2018. "Family Businesses Transitioning to a Circular Economy Model: The Case of “Mercadona”," Sustainability, MDPI, vol. 10(2), pages 1-19, February.
    2. Jalal Hanaysha, 2016. "Testing the Effects of Food Quality, Price Fairness, and Physical Environment on Customer Satisfaction in Fast Food Restaurant Industry," Journal of Asian Business Strategy, Asian Economic and Social Society, vol. 6(2), pages 31-40.
    3. Liu, Zhiwei & Park, Sangwon, 2015. "What makes a useful online review? Implication for travel product websites," Tourism Management, Elsevier, vol. 47(C), pages 140-151.
    4. Li Bai & Mingliang Wang & Shunlong Gong, 2019. "Understanding the Antecedents of Organic Food Purchases: The Important Roles of Beliefs, Subjective Norms, and Identity Expressiveness," Sustainability, MDPI, vol. 11(11), pages 1-18, May.
    5. Christopher Gan & ZhiYou Chang & Minh Chau Tran & David A. Cohen, 2016. "Consumer Attitudes toward the Purchase of Organic Products in China," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 15(2), pages 117-144, December.
    6. Jouzi, Zeynab & Azadi, Hossein & Taheri, Fatemeh & Zarafshani, Kiumars & Gebrehiwot, Kindeya & Van Passel, Steven & Lebailly, Philippe, 2017. "Organic Farming and Small-Scale Farmers: Main Opportunities and Challenges," Ecological Economics, Elsevier, vol. 132(C), pages 144-154.
    7. Muhammad Danish & Saqib Ali & Muhammad Azeem Ahmad & Hasan Zahid, 2019. "The Influencing Factors on Choice Behavior Regarding Green Electronic Products: Based on the Green Perceived Value Model," Economies, MDPI, vol. 7(4), pages 1-18, October.
    8. Sabine Zikeli & Sabine Gruber, 2017. "Reduced Tillage and No-Till in Organic Farming Systems, Germany—Status Quo, Potentials and Challenges," Agriculture, MDPI, vol. 7(4), pages 1-17, April.
    9. Rachel Griffith & Lars Nesheim, 2008. "Household willingness to pay for organic products," CeMMAP working papers CWP18/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. Bhatnagar, Amit & Ghose, Sanjoy, 2004. "Segmenting consumers based on the benefits and risks of Internet shopping," Journal of Business Research, Elsevier, vol. 57(12), pages 1352-1360, December.
    11. Jalal Hanaysha, 2016. "Testing the effects of food quality, price fairness, and physical environment on customer satisfaction in fast food restaurant industry," Journal of Asian Business Strategy, Asian Economic and Social Society, vol. 6(2), pages 31-40, February.
    12. Seshadri Tirunillai & Gerard J. Tellis, 2012. "Does Chatter Really Matter? Dynamics of User-Generated Content and Stock Performance," Marketing Science, INFORMS, vol. 31(2), pages 198-215, March.
    13. Andrea Pozzi, 2013. "The effect of Internet distribution on brick-and-mortar sales," RAND Journal of Economics, RAND Corporation, vol. 44(3), pages 569-583, September.
    14. Alain Yee Loong Chong & Eugene Ch’ng & Martin J. Liu & Boying Li, 2017. "Predicting consumer product demands via Big Data: the roles of online promotional marketing and online reviews," International Journal of Production Research, Taylor & Francis Journals, vol. 55(17), pages 5142-5156, September.
    15. Hye Jung Jung & Yun Jung Choi & Kyung Wha Oh, 2020. "Influencing Factors of Chinese Consumers’ Purchase Intention to Sustainable Apparel Products: Exploring Consumer “Attitude–Behavioral Intention” Gap," Sustainability, MDPI, vol. 12(5), pages 1-14, February.
    16. Fan, Zhi-Ping & Che, Yu-Jie & Chen, Zhen-Yu, 2017. "Product sales forecasting using online reviews and historical sales data: A method combining the Bass model and sentiment analysis," Journal of Business Research, Elsevier, vol. 74(C), pages 90-100.
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    Cited by:

    1. Silvia Cachero-Martínez, 2020. "Consumer Behaviour towards Organic Products: The Moderating Role of Environmental Concern," JRFM, MDPI, vol. 13(12), pages 1-13, December.
    2. Aleksandra Kowalska & Milena Bieniek, 2022. "Meeting the European green deal objective of expanding organic farming," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 17(3), pages 607-633, September.
    3. Chorong Youn & Hye Jung Jung, 2021. "Semantic Network Analysis to Explore the Concept of Sustainability in the Apparel and Textile Industry," Sustainability, MDPI, vol. 13(7), pages 1-17, March.
    4. Marika Parcesepe & Francesca Forgione & Celeste Maria Ciampi & Gerardo Nisco Ciarcia & Valeria Guerriero & Mariaconsiglia Iannotti & Letizia Saviano & Maria Letizia Melisi & Salvatore Rampone, 2023. "Towards the automated evaluation of product packaging in the Food&Beverage sector through data science/machine learning methods," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 2269-2280, June.
    5. Jian Huang & Qinyu Chen & Chengqing Yu, 2022. "A New Feature Based Deep Attention Sales Forecasting Model for Enterprise Sustainable Development," Sustainability, MDPI, vol. 14(19), pages 1-18, September.

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