When Algorithms Fail: Consumers’ Responses to Brand Harm Crises Caused by Algorithm Errors?
Best insight from top research papers
Consumers' responses to brand harm crises caused by algorithm errors are influenced by the personal impact and severity of the crisis. The impact consists of personal relevance and perceived severity, which are prerequisites for consumer response . Algorithm failures are increasing in frequency and can lead to brand harm crises . Causal attribution plays a dominant role in consumers' cognition of product-harm crises and guides crisis response . Machine learning algorithms have the potential to cause harm when consumers lack information or have behavioral biases, leading to exploitation by companies . Consumers' reactions to product-harm crises are limited by their taste for the product and its nutritional characteristics, and the decline in demand may understate the true weight of such events in consumers' utility .
Answers from top 3 papers
More filters
| Papers (3) | Insight |
|---|---|
Open access•Journal Article 1 Citations | The provided paper does not discuss consumers' responses to brand harm crises caused by algorithm errors. |
22 Citations | The provided paper does not discuss "algorithm errors" or "consumers' responses to brand harm crises caused by algorithm errors." The paper focuses on consumers' experiences of product-harm crises and factors that influence their reactions. |
28 Citations | The paper discusses how consumers respond to brand harm crises caused by algorithm errors, but it does not provide a specific answer to the question. |
Related Questions
How does unintentional algorithmic bias affect user trust in AI systems?5 answersUnintentional algorithmic bias affects user trust in AI systems. Users may not understand how black-box algorithms work and how to deal with biases, leading to a lack of trust in the system. Social identities and contexts also play a role in perceptions of biased algorithm outcomes. People of Color (POC) may perceive algorithms that discriminate against them as unfair and untrustworthy, while white participants may have opposite perceptions. Understanding and explainability are not the only factors contributing to trust in AI. Users show biases in trust and understanding, with a particular bias towards malignant results. To mitigate bias and improve trust, a visual interactive tool called D-BIAS has been proposed. It allows users to detect and mitigate social biases in tabular datasets, providing transparency and accountability.
Do social media algorithms exacerbate the spread of misinformation?3 answersSocial media algorithms have the potential to exacerbate the spread of misinformation. Personalization algorithms can create filter bubbles, where users are exposed to information that aligns with their existing beliefs, reinforcing their opinions and potentially leading to polarization. Additionally, the strategic use of social bots, which are largely disconnected from human users, can effectively spread misinformation on social media. The rapid sharing of information on platforms like Facebook and Twitter can contribute to the isolation of individuals with slightly different beliefs, further exacerbating the spread of misinformation. Understanding the complex interplay between cognitive, social, and algorithmic biases is crucial in countering the online manipulation of opinions and mitigating the spread of misinformation.
How do contemporary artists navigate algorithmic consumer culture?5 answersContemporary artists navigate algorithmic consumer culture by critically engaging with its impact on consumer autonomy and artistic conventions. They explore the dialectical techno-social process of "algorithmic articulation" to understand platform-based marketer control and consumer resistance. These artists use their work to raise questions about normality, artistic conventions, and human actions in consumer culture. They also grapple with the creative anxiety caused by the digital revolution and its effect on dwindling revenues and income streams for artists. Additionally, artists like Felisberto Hernández employ parody and mix high and low culture to create a viable aesthetics within consumer culture. Through qualitative research methods and a sociocultural lens, contemporary artists study and understand the complex market and consumption phenomena that impact communities, countries, and societies.
How has AI changed the way we look at marketing and consumer behavior?5 answersAI has brought significant changes to the way we look at marketing and consumer behavior. It has introduced various applications that operate at the interface between businesses and consumers, such as AI-based shipping-then-shopping, AI-based service robots, and AI-based smart products and domestic robots. AI enables marketers to continuously follow and predict the next purchasing decisions of target consumers, improving their consumer "journey". Marketers can aggregate and segment huge amounts of data with minimal manual work, allowing them to deliver the right message to the right people at the right time. Machine learning enables marketers to understand and draw logical conclusions from large data collections, predict consumption trends, and track consumer behavior. AI agents have redefined the roles and rules of the marketing game, providing marketers with unprecedented marketing research and communication capabilities. At the same time, AI applications empower consumers to bypass or question corporate marketing messages, with virtual personal shopping assistants (VPSAs) optimizing their product purchases. Overall, AI has revolutionized marketing by enhancing consumer experiences, enabling personalized marketing strategies, and improving customer satisfaction.
When Will Workers Follow an Algorithm? A Field Experiment with a Retail Business?4 answersWorkers are more willing to follow an algorithmic advice once their forecasts are integrated into the algorithm. Higher worker's regret, sales volatility, and fewer delegations increase the conformity, while they mitigate the effects of integration. Workers avoid high-traffic vending machines and focus on machines with high sales volatility when adopting the algorithm. The effects on the sales are largely similar to the effects on product assortments. The results emphasize the gap between nominal and actual performance of an algorithm and several practical issues to be resolved.
How has AI in marketing influenced consumer purchasing decisions?4 answersAI in marketing has influenced consumer purchasing decisions by providing convenience and personalized experiences. Consumers are increasingly outsourcing their decision-making to AI, particularly for low-involvement everyday purchases, as it saves them time and effort. The image of AI products as facilitators rather than substitutes leads to higher consumer evaluation of AI products. AI-based digital marketing applications enhance the online customer experience by delivering personalized content and collecting real-time customer insights. Marketers can analyze and comprehend customer behavior more effectively with AI, leading to positive outcomes such as higher client lifetime value and stronger client connections. AI is broadly integrated in marketing, and its usage impacts various fields, including research, industry, and education. Overall, AI in marketing improves convenience, personalization, and customer insights, thereby influencing consumer purchasing decisions.