Abstract
Despite increasing admission fees, consumers are spending more than ever on shared consumption experiences in the pursuit of happiness. However, current financial constraints mean that payment dynamics (i.e., how the fee is allocated among participating consumers) are becoming an increasing important topic for consumers to consider in these contexts with downstream consequences for their wellbeing. Three experimental studies (N = 1,515), and an archival text-analysis study of 101,988 consumer reviews, reveal that consumers derive more happiness from shared consumption experiences when they pay the full fee (the other consumer paying or splitting the fee) when with strong (weak) social ties (Study 1-3). Findings suggest that these results are due to market-pricing mode increasing happiness for weak social ties, but not strong (Study 3), and initial evidence suggests that this upholds in the field (Study 4). Results provide insights for consumers to maximise their shared consumption experiences, acknowledging the difficulty surrounding payment dynamics. Implications for theory and further research are discussed.
Original language | English |
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Publication status | Published - 2 Dec 2024 |
Event | ANZMAC 2024 - Hobart, Australia Duration: 2 Dec 2024 → 4 Dec 2024 https://www.anzmac2024.com/ |
Conference
Conference | ANZMAC 2024 |
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Country/Territory | Australia |
City | Hobart |
Period | 2/12/24 → 4/12/24 |
Other | This conference seeks groundbreaking research that explores the exciting intersection of artificial intelligence (AI) and sustainable marketing. We invite papers that investigate how AI can track and analyze the environmental impact of marketing campaigns and business practices, allowing for transparent communication of sustainability efforts to consumers. More importantly, while AI offers immense potential, responsible implementation is crucial. We encourage papers that explore ethical data collection and use. Ensuring data for AI is sourced ethically and used responsibly is paramount. |
Internet address |