Three little words: A pragmatic qualitative method to understand modern markets

Author:

Relja Ruffin1ORCID,Ward Philippa1ORCID,Zhao Anita Lifen2ORCID

Affiliation:

1. University of Gloucestershire, UK

2. Swansea University, UK

Abstract

This paper explores a rapid and low-intensity qualitative method that yields deep and rich insights into Generation Z and Millennials, who constitute the largest consumer group in history. This group favours frictionless digital solutions and their engagement with ‘elaborate’ qualitative techniques is unlikely, requiring researchers to marshal efficient technology-facilitated methods that render comparable insight. We assess the capacity of a ‘simple’ projective technique – online word association, accompanied by a few supporting questions – to offer as fine-grained insight into this consumer group against a more involved story stem completion method. The UK buy-now-pay-later (BNPL) context provides a complex novel market for this examination. Results suggest strong conceptual interconnection between the word association and the story stem completion task. Word associations generated similar resonance and tonality to that of the story stem but in a more compact manner, which liberates researchers and participants alike. The word association task focuses and delineates attention on a narrower set of words, not often done in the context of more traditional qualitative techniques, including story stem completion. Young consumers’ vocabularies reveal their most salient perceptions of the phenomenon. The word association task also facilitates Generation Z and Millennials’ active and positive online engagement, removing resistance and withdrawal from the research. This improves marketing response through immediacy, relevancy, and potency.

Publisher

SAGE Publications

Subject

Marketing,Economics and Econometrics,Business and International Management

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3