Perceptions of Fairness in Technology-Mediated Marketplaces

Title of the Paper

"Perceptions of Fairness in Technology-Mediated Marketplaces"

Paper Information

• Subject Area: Issues of fairness in technology-mediated marketplaces, particularly consumer behavior and fairness evaluation in third-party food delivery platforms.
• Keywords: Fairness, fair tipping, technology-mediated marketplaces, third-party food delivery platforms, gig economy, social norms

Research Background and Issues

• Problems and Challenges:

  • Technology-mediated marketplaces (TMM) establish interaction rules between consumers and workers through code, but such designs often lack transparency, making it difficult for consumers to evaluate whether their behavior is fair. Particularly in tipping, a behavior widely associated with fairness, consumers' perceptions of fairness become complex.
  • How TMM companies manage the distribution of tipping funds and design interactions between consumers and workers often leads to disputes.

• Significance:

  • Tipping behavior involves profound cultural and social meanings and directly impacts gig economy workers' actual income and social experience. Perceptions of fairness may influence consumers' tipping behavior and the overall gig economy ecosystem.

• Research Motivation and Related Work:

  • Tipping behavior provides a lens to understand perceptions of fairness in technology-mediated marketplaces and how technological design influences social interactions and economic behavior.
  • Related research has focused on the social and psychological motivations behind tipping behavior and explored how the digital economy disrupts traditional tipping norms. However, there is relatively little research on consumers' perceptions of fairness in the gig economy.

Research Questions and Framework

The study poses two core questions:

1. How do consumers define and describe fairness in tipping on third-party food delivery platforms, and how does this differ from traditional non-technology-mediated environments?
2. What role do TMM companies play in consumers' evaluations of fairness in third-party marketplace environments?

The research employs 25 in-depth semi-structured interviews to explore consumers' behaviors and attitudes in third-party food delivery services.

Solutions

• Research Methods:

  • Semi-structured interviews were conducted to collect consumers' perspectives on tipping behavior and fairness perceptions.
  • Qualitative analysis methods, such as structured coding and pattern coding, were used to summarize consumers' attitudes, beliefs, and behaviors.

• Analytical Findings: Three main themes regarding fairness evaluation were identified:

  1. Tipping as a Means of Supporting Workers' Livelihoods:
     • Consumers often feel confused about appropriate tipping amounts, and the lack of transparency frequently hinders their ability to make fair tipping decisions.
     • TMM reduces opportunities for consumer-worker interaction, a phenomenon exacerbated by post-COVID-19 contactless policies.
  2. Tipping as a Reward for Workers' Efforts:
     • Consumers tend to tip based on workers' efforts and service quality, but TMM's "pre-service tipping" design alters tipping behavior, deviating from traditional service-quality-based reward mechanisms.
     • Due to insufficient information, consumers find it challenging to fairly assess workers' efforts.
  3. Fairness in Payment Distribution:
     • Consumers express dissatisfaction with TMM companies for "charging high service fees but potentially failing to distribute payments fairly," which directly impacts tipping behavior.
     • Most consumers are unaware of the specific distribution ratios of payments, and this lack of clarity increases their distrust.

Research Outcomes

• Specific Findings:

  • Consumers' perceptions of fairness are significantly influenced by TMM design, with "pre-service tipping" being widely accepted despite its tendency to weaken the social interaction function of tipping.
  • TMM companies, as profit-driven third-party mediators, have redefined consumers' notions of fairness, transforming tipping from an interpersonal reciprocal interaction into a contribution to the labor market.

• Advantages Over Existing Solutions:

  • Provides an in-depth analysis of how design in technology-mediated marketplaces influences consumer-worker relationships.
  • Highlights the importance of transparency and information accessibility in consumers' fairness evaluations.

• Experimental or Evaluation Results:

  • Interview data reveal that most consumers choose default tipping amounts rather than adjusting based on service quality.
  • Consumers struggle to assign responsibility for issues, with many unable to clearly distinguish whether problems stem from the restaurant, the driver, or the TMM company.

• Limitations and Future Directions:

  • The sample is concentrated on highly educated consumers in the United States, lacking research on tipping behavior among other consumer groups.
  • Future research could expand to different countries and cultural contexts, exploring consumers' perceptions of fairness in other technology-mediated marketplaces (e.g., local services, travel platforms).
  • The study suggests designing more transparent and actionable tipping mechanisms to enable consumers to directly support workers more effectively.

Discussion and Recommendations

• Design Influences on Consumer Behavior:

  • Mechanisms that pre-set tipping amounts may improve efficiency but reduce opportunities for consumer-worker interaction, hindering the development of constructive social relationships.
  • TMM companies should improve transparency through design, reducing the distance between consumers and workers and avoiding unfair consumer penalties on workers.

• Recommended Technological Developments:

  • Enhance the recording and display of responsibility attribution information to help consumers clearly understand the roles of restaurants, drivers, and TMM companies in service issues.
  • Promote sustained interaction between consumers and gig workers to strengthen social connections, which could have long-term implications for labor rights advocacy.

Conclusion

• This study reveals the complexity of tipping behavior in technology-mediated marketplaces and its relationship to fairness evaluations.
• Future technologies and designs should aim to improve social interactions between consumers and workers while enhancing consumers' engagement and capacity for fair economic behavior.
• Researchers and practitioners in the HCI field should seize the opportunity to push these marketplaces beyond TMM companies' profit-driven focus, building technology-mediated systems with greater social significance.