Development of Marketing Strategies for Ready-to-eat Food for Elderly Consumers
Keywords:
Type of Lifestyle, Consumer-Centric Marketing Mix, External Environmental Factors, Behavior of Social Media UtilizationAbstract
This research aimed to 1) examine the external environment (PESTEL Analysis), lifestyle patterns, social media utilization behavior, purchase decision behavior toward ready-to-eat (RTE) foods among elderly consumers, and the consumer-centric marketing mix. (7Cs: Consumer-Centric Marketing Mix). 2) investigate the structural relationships among external environmental factors (PESTEL: External Environmental Factors), type of lifestyle (TOL: Type of Lifestyle), consumer-centric marketing mix (7Cs), behavior of social media utilization (BHV: Behavior of Social Media Utilization), and purchase decision behavior (DECI: Purchase Decision Behavior) of elderly consumers toward ready-to-eat foods and 3. propose marketing strategy development guidelines for ready-to-eat foods targeting elderly consumers. A mixed-methods research design was employed. Quantitative data were collected from 400 elderly respondents, while qualitative data were obtained through focus group discussion with 12 experts specializing in healthy food development, food law, elderly nutrition, and marketing. Quantitative data were analyzed using Structural Equation Modeling (SEM), and qualitative data were analyzed using Content Analysis. The quantitative and qualitative findings revealed that : 1. elderly consumers placed greater emphasis on convenience, credibility of information, and recommendations from close individuals rather than pricing factors. 2. social media utilization behavior (BHV) exerted the strongest direct influence on purchase decision behavior (DECI), serving as a mediating variable between type of lifestyle (TOL), external environmental factors (PESTEL), and the consumer-centric marketing mix (7Cs). and 3. The study proposed a segmentation model dividing elderly consumers into four groups (BAHT Model) and introduced the BEST framework for product development. In conclusion, the findings theoretically contribute by establishing BHV as a critical mediator in the purchase decision process within the food market for aging populations.
References
กรมกิจการผู้สูงอายุ. (2567). รายงานสถานการณ์ผู้สูงอายุไทย ปี 2566. กรุงเทพฯ: กระทรวงการพัฒนาสังคมและความมั่นคงของมนุษย์. สืบค้นเมื่อวันที่ 10 พฤษภาคม 2568 จาก https://www.dop.go.th/download/statistics/th1738230377-2563_1.pdf
Asian Insiders. (2023, June 27). South Korea’s retail food market is worth USD 129B and growing. Retrieved May 10, 2025, from https://asianinsiders.com/2023/06/27/south-koreas-retail-food-market-is-worth-usd-129b-and-growing/
Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approach (4th ed.). SAGE Publications.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
Deloitte Australia. (2023). Bringing AI to the forefront of a tech-driven food revolution. Deloitte Global. Retrieved May 12, 2025, from https://www.deloitte.com/global/en/what-we-do/case-studies-collection/bringing-ai-to-the-forefront-of-a-tech-driven-food-revolution.html
Engel, J. F., Blackwell, R. D., & Miniard, P. W. (2006). Consumer behavior (10th ed.). Thomson South-Western.
FHAFNB. (2024). Convenience food market outlook 2023–2028. Food and Health Alliance for Future Nutrition and Behavior. Retrieved May 12, 2025, from https://fhafnb.com/convenience-food/
George, D., & Mallery, P. (2003). SPSS for Windows step by step: A simple guide and reference (11.0 update, 4th ed.). Allyn & Bacon.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning.
Kasikorn Research Center. (2024). ตลาดอาหารเพื่อผู้สูงวัยในไทย ปี 2567: โอกาสและความท้าทายในยุคสังคมสูงวัย. สืบค้นเมื่อวันที่ 16 พฤษภาคม 2568 จาก https://kasikornresearch.com
Kotler, P., & Keller, K. L. (2021). Marketing management (16th ed.). Pearson Education.
Lauterborn, B. (1990). New marketing litany: Four Ps passé: C-words take over. Advertising Age, 61(41), 26.
Nielsen. (2023). Thailand consumer report 2023: Silver economy and digital shift. Nielsen Thailand.
Patton, M. Q. (2002). Qualitative research and evaluation methods (3rd ed.). SAGE Publications.
Solomon, M. R. (2018). Consumer behavior: Buying, having, and being (12th ed.). Pearson.
The Wall Street Journal. (2024). A fast-growing chicken chain uses AI in quest to become a household name. Retrieved May 15, 2025, from https://www.wsj.com/articles/a-fast-growing-chicken-chain-uses-ai-in-quest-to-become-a-household-name-960a3253
Wanna, Y., & Yongsavat, P. (2023). Elderly consumer preference on ready-to-eat meals in Bangkok: Lifestyle, needs, and adaptation. Journal of Thai Food Business and Innovation, 5(1), 45–60.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 The Journal of Development Administration Research

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
บทความที่ได้รับการตีพิมพ์เป็นลิขสิทธิ์ของมหาวิทยาลัยราชภัฏสวนสุนันทา
ข้อความที่ปรากฏในบทความแต่ละเรื่องในวารสารวิชาการเล่มนี้เป็นความคิดเห็นส่วนตัวของผู้เขียนแต่ละท่านไม่เกี่ยวข้องกับมหาวิทยาลัยราชภัฏสวนสุนันทา และคณาจารย์ท่านอื่นๆ ในมหาวิทยาลัยฯ แต่อย่างใด ความรับผิดชอบองค์ประกอบทั้งหมดของบทความแต่ละเรื่องเป็นของผู้เขียนแต่ละท่าน หากมีความผิดพลาดใดๆ ผู้เขียนแต่ละท่านจะรับผิดชอบบทความของตนเองแต่ผู้เดียว
