IDEAS home Printed from https://ideas.repec.org/a/vrs/foeste/v21y2021i1p76-91n2.html
   My bibliography  Save this article

Innovativeness of Senior Consumers’ Attitudes – An Attempt to Conduct Segmentation

Author

Listed:
  • Olejniczak Tomasz

    (Poznań University Economics and Business, Institute of Marketing, Department of Marketing Product, Al. Niepodległości 10, 61-875 Poznań)

Abstract

Research background: Ageing societies is a global phenomenon. In the media and the press, there strongly exists a stereotype of elderly people being poorly adjusted to social change, lonely, poor and not open to market novelties. However, an in-depth description of the senior consumer market segment shows their high degree of variety and differentiation in their approach to purchasing product innovations. Purpose: The aim of the article is to present a model of segmentation of older people according to the criterion of their attitudes towards innovation on the FMCG market. Research methodology: The source of information for building the typology was personal interviews conducted in 2018 with people aged over 60 in Greater Poland (the Wielkopolska region). The selection of respondents (the sample consisted of 1,451 people) was carried out using the quota selection method. The K-means clustering algorithm was applied to classify the respondents into clusters. Results: The research procedure allowed for the identification of different segments of senior consumers: reluctant conservatives, knowledgeable traditionalists, aspiring withdrawn/passive, unaware practical and rational innovators. Novelty: The results of the analysis of the segmentation of senior consumers confirm that people actively interested in product innovations on the FMCG market constitute a relatively small part of the elderly population (18.0%) and that there is a clear relationship between the attitude towards innovation and the characteristics of consumers in terms of economic, demographic and social variables.

Suggested Citation

  • Olejniczak Tomasz, 2021. "Innovativeness of Senior Consumers’ Attitudes – An Attempt to Conduct Segmentation," Folia Oeconomica Stetinensia, Sciendo, vol. 21(1), pages 76-91, June.
  • Handle: RePEc:vrs:foeste:v:21:y:2021:i:1:p:76-91:n:2
    DOI: 10.2478/foli-2021-0006
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/foli-2021-0006
    Download Restriction: no

    File URL: https://libkey.io/10.2478/foli-2021-0006?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Nicole Halmdienst & Michael Radhuber & Rudolf Winter-Ebmer, 2019. "Attitudes of elderly Austrians towards new technologies: communication and entertainment versus health and support use," European Journal of Ageing, Springer, vol. 16(4), pages 513-523, December.
    2. Yordan P Raykov & Alexis Boukouvalas & Fahd Baig & Max A Little, 2016. "What to Do When K-Means Clustering Fails: A Simple yet Principled Alternative Algorithm," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-28, September.
    3. Delphine Le Serre & Corinne Chevalier, 2012. "Marketing Travel Services to Senior Consumers," Post-Print hal-00879295, HAL.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lu, Jiaying & Hung, Kam & Wang, Lili & Schuett, Michael A. & Hu, Liang, 2016. "Do perceptions of time affect outbound-travel motivations and intention? An investigation among Chinese seniors," Tourism Management, Elsevier, vol. 53(C), pages 1-12.
    2. repec:cmj:journl:y:2013:i:28:albuce is not listed on IDEAS
    3. Cong Cao & Dan Li & Qianwen Xu & Xiuyan Shao, 2022. "Motivational Influences Affecting Middle-Aged and Elderly Users’ Participation Intention in Health-Related Social Media," IJERPH, MDPI, vol. 19(18), pages 1-21, September.
    4. Roberto Patuelli & Peter Nijkamp, 2016. "Travel motivations of seniors," Tourism Economics, , vol. 22(4), pages 847-862, August.
    5. Bruno Arpino & Marta Pasqualini & Valeria Bordone, 2021. "Physically distant but socially close? Changes in non-physical intergenerational contacts at the onset of the COVID-19 pandemic among older people in France, Italy and Spain," European Journal of Ageing, Springer, vol. 18(2), pages 185-194, June.
    6. Vicente, María Rosalía, 2022. "ICT for healthy and active aging: The elderly as first and last movers," Telecommunications Policy, Elsevier, vol. 46(3).
    7. Athina Nella & Evangelos Christou, 2016. "Extending tourism marketing: Implications for targeting the senior tourists' segment," Post-Print hal-02441474, HAL.
    8. Yi Hua & Zhi Qiu & Wenjing Luo & Yue Wang & Zhu Wang, 2021. "Correlation between Elderly Migrants’ Needs and Environmental Adaptability: A Discussion Based on Human Urbanization Features," IJERPH, MDPI, vol. 18(10), pages 1-16, May.
    9. Omer Ajmal & Shahzad Mumtaz & Humaira Arshad & Abdullah Soomro & Tariq Hussain & Razaz Waheeb Attar & Ahmed Alhomoud, 2024. "Enhanced Parameter Estimation of DENsity CLUstEring (DENCLUE) Using Differential Evolution," Mathematics, MDPI, vol. 12(17), pages 1-46, September.
    10. Zhi Qiu & Yi Hua & Binwei Yun & Zhu Wang & Yi Zhou, 2023. "Public Space Planning in Urban Resettlement Community in China: Addressing Diverse Needs of Rural Migrants through Function Programming Based on Architectural Planning Theory," Land, MDPI, vol. 12(7), pages 1-26, July.
    11. Weck, Marina & Afanassieva, Marianne, 2023. "Toward the adoption of digital assistive technology: Factors affecting older people's initial trust formation," Telecommunications Policy, Elsevier, vol. 47(2).
    12. Joaquín Pérez-Ortega & Nelva Nely Almanza-Ortega & David Romero, 2018. "Balancing effort and benefit of K-means clustering algorithms in Big Data realms," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-19, September.
    13. Robert Zniva & Wolfgang Weitzl, 2016. "It’s not how old you are but how you are old: A review on aging and consumer behavior," Management Review Quarterly, Springer, vol. 66(4), pages 267-297, December.
    14. Daniels, Margaret J. & Harmon, Laurlyn K. & Brayley, Russell E. & Vese, Rodney & Park, Minkyung, 2019. "Honor flight: Recognition of preeminent-mature tourists," Annals of Tourism Research, Elsevier, vol. 74(C), pages 95-107.
    15. Kyung-Joon Kwon & Li-Wei Mai & Norman Peng, 2020. "Determinants of consumers’ intentions to share knowledge and intentions to purchase on s-commerce sites: incorporating attitudes toward persuasion attempts into a social exchange model," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 10(1), pages 157-183, March.
    16. Seungwon Jung & Jaeuk Moon & Eenjun Hwang, 2020. "Cluster-Based Analysis of Infectious Disease Occurrences Using Tensor Decomposition: A Case Study of South Korea," IJERPH, MDPI, vol. 17(13), pages 1-19, July.
    17. Tan, Daniel & Suvarna, Manu & Shee Tan, Yee & Li, Jie & Wang, Xiaonan, 2021. "A three-step machine learning framework for energy profiling, activity state prediction and production estimation in smart process manufacturing," Applied Energy, Elsevier, vol. 291(C).
    18. Cristina-Elena ALBU, 2013. "STEREOTYPICAL FACTORS IN TOURISM -Literature review," CrossCultural Management Journal, Fundația Română pentru Inteligența Afacerii, Editorial Department, issue 1, pages 5-13, May.
    19. Yamen Koubaa & Rym Srarfi Tabbane & Manel Hamouda, 2017. "Segmentation of the senior market: how do different variable sets discriminate between senior segments?," Journal of Marketing Analytics, Palgrave Macmillan, vol. 5(3), pages 99-110, December.
    20. Xumei Pan & Zhaoping Yang & Fang Han & Yayan Lu & Qin Liu, 2019. "Evaluating Potential Areas for Mountain Wellness Tourism: A Case Study of Ili, Xinjiang Province," Sustainability, MDPI, vol. 11(20), pages 1-15, October.
    21. Mayra Z Rodriguez & Cesar H Comin & Dalcimar Casanova & Odemir M Bruno & Diego R Amancio & Luciano da F Costa & Francisco A Rodrigues, 2019. "Clustering algorithms: A comparative approach," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-34, January.

    More about this item

    Keywords

    consumer behavior; senior consumer segment; product innovation; elderly people;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination
    • O39 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Other

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:foeste:v:21:y:2021:i:1:p:76-91:n:2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.