Advergames and Consumer Behaviour: A Quantitative Comparative Analysis of the United Kingdom and Saudi Arabia

International Journal of Marketing Studies(2022)

引用 0|浏览1
暂无评分
摘要
Background/Aim: People from different cultures share different thoughts, values, and morals, and the activities they engage in reflect their backgrounds. Advergames are an innovative way to create relationships with your customers. For instance, advergames can be used as a communication tool between your business and the targeted customer to promote your brand. This study focuses on advergames and consumer behaviour, with the aim of investigating the similarities between Saudi Arabia (SA) and the United Kingdom (UK). Methods: This study used a quantitative approach, with participants chosen from different educational institutions in SA and the UK. A total of 500 participants were shortlisted, and questionnaires were designed and distributed among them to gather data. The questionnaire responses were measured on a seven-point Likert scale. The data were then analysed using the Statistical Package of the Social Sciences version 23.0 (SPSS). Descriptive statistical analysis using means and standard deviations was run to determine the relationship between various constructs, such as persuasiveness, level of experience, brand familiarity, and advergame design, and consumer behaviour. Results: The study found that the brand familiarity and persuasiveness of advergames influenced consumer behaviour. Furthermore, the design of advergames was found to influence consumer behaviour. The study also predicted that the level of experience with the gameplay would influence consumer behaviour. Conclusion: The study found that consumer behaviour is influenced by persuasiveness, level of experience, brand familiarity, and advergame design in the UK and SA. It is suggested that game developers and marketing experts dive right into the consumer black box to learn more about consumer choices, preferences, and comfort zones.
更多
查看译文
关键词
consumer behaviour,saudi,united kingdom
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要