Artificial intelligence (AI) is transforming healthcare operations. Nevertheless, particularly in the context of preventive care, little is known about how laypeople perceive and accept AI and change their behavior accordingly. Grounded in a solid theoretical framework of trust, this study bridges this gap by exploring individuals’ acceptance of AI‐based preventive health interventions and following health behavior change, which is critical for preventive care providers’ operational and business performance. Through a randomized field experiment with 15,000 users of a mobile health app complemented by a survey, we first show that the use and disclosure of AI in preventive health interventions improve their effectiveness. However, individuals are less likely to accept and achieve the health behavior change suggested by AI than when they receive similar interventions from health experts. We also observe that the effectiveness of AI‐based interventions can be improved by combining them with human expert opinions, increasing their algorithmic transparency, or emphasizing their genuine care and warmth. These results collectively suggest that, different from conventional technologies, AI's deficient affective trust, rather than comparable cognitive trust, play a decisive role in the acceptance of AI‐based preventive health interventions. This study sheds light on the literature on the role of new‐age information technologies in behavioral operations management, consumer marketing, and healthcare as well as the role of trust in technology acceptance. Valuable practical implications for more effective management of AI for preventive care operations and promotion of consumers’ health behavior are also provided.
Offline retail stores have adopted mobile ordering technology to enhance their customer experience. A mobile ordering channel allows customers to find a nearby store and choose a product by lowering the search costs. However, the impact of mobile ordering services on the diversity of customer experiences has not been examined. In this study, the effects of mobile ordering technology on store and product diversity are measured. We analyzed the transaction data of 170,635 users over 16 weeks of store visits. The effect of mobile ordering technology on store and product diversity was estimated using the difference-indifferences method. We find that mobile ordering services can positively affect store and product diversity. The results are consistent after analyzing the data resampled with propensity score matching. This study provides the managerial implication that mobile ordering technology is valuable for offline retail stores that aim to extend their customers' shopping and product experiences.
PurposePast literature offered competing predictions of the effect of broadband Internet on suicide. The Internet facilitates suicide by providing suicide-related information and ruining mental health. In contrast, Internet prevents suicide by offering social interaction and online mental treatment. This study aims to solve this tension by empirically examining the effect of broadband Internet on suicide with large-scale panel set.Design/methodology/approachThis study takes instrument approach with the US county-level panel set for the period 2013–17. This study uses the number of household broadband Internet subscriptions as the measure of broadband and leverages the number of telecommunication carriers as an instrument to address concern for endogenous relationship.FindingsThere exists a positive and significant association between broadband Internet adoption and suicide on average. This study provides empirical evidence that this association is attributable to the Internet's role in leading to a general decline in the mental well-being and in providing suicide-relevant information. This association is more evident in areas with high poverty and low social capital.Originality/valueThis study contributes to literatures that address the dark side of information systems in general and that address how Internet adoption can influence public health and well-being in particular. Results of underlying mechanisms why Internet affects suicide, and heterogeneous effect of Internet by poverty and social capital provide insight for governments to enact proactive regulations to address continuing rise of suicide.
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