Agric. Econ. - Czech, X:X | DOI: 10.17221/247/2024-AGRICECON

Unveiling green perception effect: How live streaming scenes and green information influence purchase intention of prepared dishesOriginal Paper

Shuo Hao1,2, Pei Li3, Nannan Zhang1,4, Yang Du1, Rui Liang5, Ziyang Liu1
1 Department of Global Business, Kyonggi University, Suwon, Republic of Korea
2 School of Economics and Management, North China Institute of Aerospace Engineering, Langfang, P.R. China
3 Department of Fashion Design and Engineering, School of Textiles and Fashion, Shanghai University of Engineering Science, Shanghai, P.R. China
4 Department of Data Engineering, Pearl River College of Tianjin University of Finance and Economics, Tianjin, P.R. China
5 Business College, Beijing Union University, Beijing, P.R. China

To promote the sustainable consumption of prepared dishes, this study examines how green attribute information (GAI) and live streaming scenes experience (LSSE) influence consumers' green perceptions (GP) – including perceived green value (PGV) and perceived green trust (PGT) – and subsequently affect their purchase intention (PI). A green perception model was developed and tested using a mixed-method approach. Word cloud analysis was conducted on consumer comments collected from e-commerce platforms to extract key descriptors and concerns, which informed the design of a structured questionnaire. A total of 291 valid responses were analysed using partial least squares structural equation modelling (PLS-SEM). Results show that: (iGAI does not directly impact PI, indicating that GP is a necessary mediator; (iiGAI significantly influences PGV, but not PGT; (iiiGP fully mediates the GAIPI relationship, although PGV has a negligible direct effect on PGT; (ivLSSE significantly enhances both GP and PI; (vGP partially mediates the LSSEPI relationship. These findings highlight the dual role of LSSE in facilitating information adoption and emotional engagement, and suggest that enhancing LSSE design and enriching GAI are effective strategies to increase consumers' green perception and purchase intention towards prepared dishes.

Keywords: live streaming scenes experience; green attribute information; perceived green value; perceived green trust; purchase intention

Received: July 14, 2024; Revised: June 24, 2025; Accepted: July 3, 2025; Prepublished online: October 22, 2025 

Download citation

References

  1. Ariyawardana A., Ganegodage K., Mortlock M.Y. (2017): Consumers' trust in vegetable supply chain members and their behavioural responses: A study based in Queensland, Australia. Food Control, 73: 193-201. Go to original source...
  2. Asante I.O., Jiang Y., Luo X. (2023): Does it matter how I stream? Comparative analysis of livestreaming marketing formats on Amazon Live. Humanities and Social Sciences Communications, 10: 403. Go to original source...
  3. Bagozzi R.P. (1981): Evaluating structural equation models with unobservable variables and measurement error: A comment. Journal of Marketing Research, 18: 375-381. Go to original source...
  4. Bang N.-V., Cong T.T. (2024): Sustaining organizational customers' consumption through corporate social responsibility and green advertising receptivity: The mediating role of green trust. Cogent Business & Management, 11: 2287775. Go to original source...
  5. Bumbudsanpharoke N., Ko S. (2022): Packaging technology for home meal replacement: Innovations and future prospective. Food Control, 132: 108470. Go to original source...
  6. Cardona M., Izquierdo D., Barat J.M., Fernandéz-Segovia I. (2023): Intrinsic and extrinsic attributes that influence choice of meat and meat products: Techniques used in their identification. European Food Research and Technology, 249: 2485-2514. Go to original source...
  7. Chauhan S., Goyal S. (2024): A meta-analysis of antecedents and consequences of green trust. Journal of Consumer Marketing, 41: 459-473. Go to original source...
  8. Chen H., Chen H., Tian X. (2022a): The dual-process model of product information and habit in influencing consumers purchase intention: The role of live streaming features. Electronic Commerce Research and Applications, 53: 101150. Go to original source...
  9. Chen Y., Liu D., Liu Y., Zheng Y., Wang B., Zhou Y. (2022b): Research on user generated content in Q&A system and online comments based on text mining. Alexandria Engineering Journal, 61: 7659-7668. Go to original source...
  10. Dou L., Li X. (2024): Examining the influence of technology-enhanced information on purchase of green food in the context of live streaming commerce. NJAS: Impact in Agricultural and Life Sciences, 96: 2350583. Go to original source...
  11. Enriquez J.P., Archila-Godinez J.C. (2022): Social and cultural influences on food choices: A review. Critical Reviews in Food Science and Nutrition, 62: 3698-3704. Go to original source... Go to PubMed...
  12. Fornell C., Larcker D.F. (1981): Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18: 39-50. Go to original source...
  13. Fu S., Ma R., He G., Chen Z., Liu H. (2023): A study on the influence of product environmental information transparency on online consumers' purchasing behavior of green agricultural products. Frontiers in Psychology, 14: 1168214. Go to original source... Go to PubMed...
  14. Fu Y., Zhang W., Wang R., Zheng J. (2024): How cognition influences Chinese residents' continuous purchasing intention of prepared dishes under the distributed cognitive perspective. Foods, 13: 2598. Go to original source... Go to PubMed...
  15. Hu B., Huang B., Liu Z., Guo H., Chen Z., Shi L. (2021): Optimization model of carbon footprint of fresh products in cold chain from the energy conservation and emission reduction perspective. Mathematical Problems in Engineering, 2021: 5559021. Go to original source...
  16. Huang Z., Zhu Y., Hao A., Deng J. (2023): How social presence influences consumer purchase intention in live video commerce: The mediating role of immersive experience and the moderating role of positive emotions. Journal of Research in Interactive Marketing, 17: 493-509. Go to original source...
  17. Jia Y., Hu L., Liu R., Yang W., Khalifa I., Bi J., Li Y., Zhen J., Wang B., Zhang Z., Zhang E., Li B. (2024): Innovations and challenges in the production of prepared dishes based on central kitchen engineering: A review and future perspectives. Innovative Food Science & Emerging Technologies, 91: 103521. Go to original source...
  18. Kawasaki T., Wakashima H., Shibasaki R. (2022): The use of e-commerce and the COVID-19 outbreak: A panel data analysis in Japan. Transport Policy, 115: 88-100. Go to original source...
  19. Khan K.U., Atlas F., Arshad M.Z., Akhtar S., Khan F. (2022): Signaling green: Impact of green product attributes on consumers trust and the mediating role of green marketing. Frontiers in Psychology, 13: 790272. Go to original source... Go to PubMed...
  20. Lv X., Zhang R., Su Y., Yang Y. (2022): Exploring how live streaming affects immediate buying behavior and continuous watching intention: a multigroup analysis. Journal of Travel & Tourism Marketing, 39: 109-135. Go to original source...
  21. Marcon A., Ribeiro J.L.D., Dangelico R.M., De Medeiros J.F., Marcon É. (2022): Exploring green product attributes and their effect on consumer behaviour: A systematic review. Sustainable Production and Consumption, 32: 76-91. Go to original source...
  22. Mills S.D.H., Wolfson J.A., Wrieden W.L., Brown H., White M., Adams J. (2020): Perceptions of 'home cooking': A qualitative analysis from the United Kingdom and United States. Nutrients, 12: 198. Go to original source... Go to PubMed...
  23. Nunnally J.C., Bernstein I.H. (1994): Psychometric theory. 3rd Ed. New York, McGraw-Hill: 212.
  24. Onofrei G., Filieri R., Kennedy L. (2022): Social media interactions, purchase intention, and behavioural engagement: the mediating role of source and content factors. Journal of Business Research, 142: 100-112. Go to original source...
  25. Peng X., Ren J., Guo Y. (2023): Enhance consumer experience and product attitude in E-commerce live streaming: Based on the environmental perspective. Industrial Management & Data Systems, 124: 319-343. Go to original source...
  26. Ponte E.B., Carvajal-Trujillo E., Escobar-Rodríguez T. (2015): Influence of trust and perceived value on the intention to purchase travel online: Integrating the effects of assurance on trust antecedents. Tourism Management, 47: 286-302. Go to original source...
  27. Ricci E.C., Banterle A., Stranieri S. (2018): Trust to go green: An Exploration of consumer intentions for eco-friendly convenience food. Ecological Economics, 148: 54-65. Go to original source...
  28. Riva F., Magrizos S., Rubel M.R.B., Rizomyliotis I. (2022): Green consumerism, green perceived value, and restaurant revisit intention: Millennials' sustainable consumption with moderating effect of green perceived quality. Business Strategy and the Environment, 31: 2807-2819. Go to original source...
  29. Roh T., Seok J., Yaeri K. (2022): Unveiling ways to reach organic purchase: Green perceived value, perceived knowledge, attitude, subjective norm, and trust. Journal of Retailing and Consumer Services, 67: 102988. Go to original source...
  30. Shi M., Wu J., Li Y., Yang Y., Liao X., Qi L. (2024): Rural e-commerce and agricultural supply chain integration: A panel data analysis of China's rural development. Journal of Digital Intelligence and Economic Growth, 1: 1-21. Go to original source...
  31. Shu T., Yang H., Lin L., Chen J., Zhou J., Wang J. (2024): Exploring public opinion on health effects of prepared dishes in China through social media comments. Frontiers in Public Health, 12: 1424690. Go to original source... Go to PubMed...
  32. Tawde S.G., Rv S. (2024): How does green consumers' self-concept promote willingness to pay more? A sequential mediation effect of green product virtue and green perceived value. Journal of Consumer Behaviour, 23: 2110-2129. Go to original source...
  33. Testa F., Iraldo F., Vaccari A., Ferrari E. (2015): Why eco labels can be effective marketing tools: Evidence from a study on Italian consumers. Business Strategy and the Environment, 24: 252-265. Go to original source...
  34. Tharrey M., Drogu S., Privet L., Perignon M., Dubois C., Darmon N. (2020): Industrially processed v. home-prepared dishes: What economic benefit for the consumer? Public Health Nutrition, 23: 1982-1990. Go to original source... Go to PubMed...
  35. Tran N.K.H. (2023): Enhancing green brand equity through environmental reputation: The important of green brand image, green brand trust, and green brand loyalty. Business Strategy & Development, 6: 1006-1017. Go to original source...
  36. Tsimidou M.Z., Ordoudi S.A., Mantzouridou F.Th., Nenadis N., Stelzl T., Rychlik M., Belc N., Zoani C. (2022): Strategic priorities of the scientific plan of the European research infrastructure METROFOOD-RI for promoting metrology in food and nutrition. Foods, 11: 599. Go to original source... Go to PubMed...
  37. Wu Y., Huang H. (2023): Influence of perceived value on consumers' continuous purchase intention in live-streaming e-commerce - Mediated by consumer trust. Sustainability, 15: 4432. Go to original source...
  38. Wu S., Hu Z., Li Y., Yuan Y. (2024): How brand familiarity affects green product purchase intention: The moderating role of streamers' environmental knowledge. Technology in Society, 77: 102572. Go to original source...
  39. Xiao L., Lin X., Mi C., Akter S. (2023): The effect of dynamic information cues on sales performance in live streaming e-commerce: An IFT and ELM perspective. Electronic Commerce Research, 25: 2699-2728. Go to original source...
  40. Xu G., Ren M., Wang Z., Li G. (2024): MEMF: multi-entity multimodal fusion framework for sales prediction in live streaming commerce. Decision Support Systems, 184: 114277. Go to original source...
  41. Yu J., Xie C., Huang S. (2024): Value co-creation in live streaming through tourism scenes: A contextual marketing perspective. Internet Research. Go to original source...
  42. Zhang W., Zheng J., Li Y. (2024): Explaining Chinese consumers' continuous consumption intention toward prepared dishes: The role of perceived risk and trust. Foods, 13: 88. Go to original source... Go to PubMed...
  43. Zheng S., Wang L., Yu Z. (2024): The impact of multidimensional perceived value on purchase intentions for prepared dishes in China: The mediating role of behavioral attitudes and the moderating effect of time pressure. Foods, 13: 3778. Go to original source... Go to PubMed...

This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY NC 4.0), which permits non-comercial use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.