Research Article
Open access
Published on 29 November 2024
Download pdf
Wang,L. (2024). How Sales Methods and Platforms Affect Elderly Online Shopping: The Patterns and Causes. Advances in Economics, Management and Political Sciences,122,216-231.
Export citation

How Sales Methods and Platforms Affect Elderly Online Shopping: The Patterns and Causes

Liying Wang *,1,
  • 1 The Experimental High School Attached to Beijing Normal University

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2754-1169/2024.17716

Abstract

With the rapid development of the Internet, online shopping has become the mainstream shopping method for youngsters, but that is not the case for the elderly, a demographic group that takes up a considerable ratio of our whole population. This research integrates a questionnaire survey and one-on-one interviews as qualitative methodology and regression analysis, descriptive analysis, and inferential analysis as quantitative methodology using the statistical analysis software STATA to analyze the extent of sales methods’ effect on the elderly’s shopping decisions, the popularity of different online shopping platforms, and the influential factors of elderly online shopping. The researcher found that, comprehensively, among all sales platforms researched, the most used platforms by the elderly are successively Taobao, Jingdong, TikTok, Kuaishou, Xiaohongshu, and Bilibili. Among all sales methods researched, the effectiveness of them on elderly online shopping from high to low is sequentially sales promotion, online advertising, public relations, and site promotion.

Keywords

Elderly, Online shopping, Econometrics, Sales methods, Sales platforms

[1]. Chen Xiqiong, Wu Yongtao, Chen Jun. Research status and implications of China's population aging in the past 10 years [J]. Yunnan Geographic Environment Research, 2023, 35(4): 59-66,72. DOI: 10.3969/j.issn.1001- 7852.2023.04.008.

[2]. Shen Feichao, Diao Weixue. Research on the influence of online promotion on purchasing behavior [J]. China Collective Economy,2020(6):77-78.

[3]. Cui Fasheng. A study on Users' participation Intention in online reviews from the perspective of Self-attribution [D]. Guangxi: Guilin University of Technology,2019. DOI:10.7666/d.D01818470.

[4]. Li Na. The Influence of information attribute and social attribute of online Q&A of e-commerce on consumers' purchase intention [D]. Shaanxi: Xidian University,2020.

[5]. Ruan Shihua. A study on the influencing factors of consumers' willingness to buy electronic products online -- A case study of Hanoi, Vietnam [D]. Jiangsu: Yangzhou University,2020.

[6]. Tian Zhenshi. A study on the impact of consumers' online shopping failure on their attitudes towards return, exchange, and online shopping [D]. Hubei: Central China Normal University, 2015.

[7]. Gu Tianyu, Lu Zhangping, Su Wencheng, et al. Research on the influence mechanism and Countermeasures of the digital ability of online Shopping of elderly groups from the perspective of multiple factors [J]. Scientific Research on Aging,2023,11(2):61-78. (in Chinese) DOI:10.3969/j.issn.2095-5898.2023.02.007.

[8]. Yan Zhonghua, Li Binning, Miganing, et al. An empirical research on the trust model for e-commerce in China [J]. Research of Technology Economics and Management,2008,159(4):3-6. (in Chinese) DOI:10.3969/j.issn.1004-292X.2008.04.001.

[9]. Chen Yue. Research on Gender differences in Internet product use behavior of Internet users [D]. Heilongjiang: Harbin Institute of Technology,2015. DOI:10.7666/d.D01102747.

Cite this article

Wang,L. (2024). How Sales Methods and Platforms Affect Elderly Online Shopping: The Patterns and Causes. Advances in Economics, Management and Political Sciences,122,216-231.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

Disclaimer/Publisher's Note

The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

About volume

Volume title: Proceedings of the 8th International Conference on Economic Management and Green Development

Conference website: https://2024.icemgd.org/
ISBN:978-1-83558-667-9(Print) / 978-1-83558-668-6(Online)
Conference date: 26 December 2024
Editor:Lukáš Vartiak
Series: Advances in Economics, Management and Political Sciences
Volume number: Vol.122
ISSN:2754-1169(Print) / 2754-1177(Online)

© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open access policy for details).