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Abstract 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

Mobile technologies provide a unique opportunity for practitioners to identify users’ real-time context and provide personalized interventions to influence their behaviors. However, less is known about a way to improve the effectiveness of mobile health intervention by using context information. This study provides design guidelines on how to use weather information with messaging formats to spur exercise. Through a field experiment that each participant experience different weather conditions i

Purpose Past 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/approach This study takes instrument approac

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

Financial incentives are widely used to promote health behavior. Among others, egoistic and philanthropic incentives are the two most representative types of financial incentives: While the former is directly given to individuals performing health behavior, the latter ties such behavior to charitable contributions. Despite their prevalence, an understanding of the optimal incentive design for health behavior is limited. In this study, we conducted a randomized field experiment in collaboration w

Although a significant amount of research has examined the effect of broadband on the rise of employment, the majority of this work has been focused on general population's employment, with little attention paid to the effect of broadband may have on social minority employment, i.e., disabled. Motivated from this research gap, we empirically examine the effect of the broadband use on disabled employment in the United States during 2013–2016 using a county level panel data set. We find evidence t

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 st

The United States is experiencing an opioid overdose epidemic. E-prescribing has gained significant attention as a breakthrough way to reduce opioid overdoses, because it enhances control over the prescribing of drugs by providing patients’ hospital visit and medication record to prescribers at the point of care. However, there is little empirical evidence on how e-prescribing affects opioid overdoses. In this paper, we begin to bridge this gap by reporting on an empirical investigation of the e

The transformative power of Artificial Intelligence (AI) is fundamentally reshaping the healthcare landscape. However, much less is known about how individual users perceive AI-based mobile health interventions. Motivated by such gaps, this study aims to identify (1) the effect of AI interventions on health behavior change, (2) whether AI interventions are as effective as human interventions, and (3) how we can improve the effectiveness of AI interventions with human, reliability, or transparenc

The opioid epidemic poses widespread societal challenges. In response, electronic prescribing for controlled substances (EPCS), which requires prescribers to use the e-prescribing system, has begun attracting attention to combat the opioid epidemic by helping prescribers detect doctor shoppers and prevent forged prescriptions. However, a concern is that limited access to opioids after EPCS mandates may cause drug users to cross borders and travel to other areas without EPCS. Grounded in the tens

Companies are increasingly providing customer service through artificial intelligence (AI) agents, helping customers on a real-time basis. Furthermore, AI agents grant VIP status to high-value customers. This study investigates how the granting of VIP status via AI agents affects customers' resistance to AI. By leveraging the secondary data from a large telecommunication company, we examine how the granting of VIP status via AI agents affects customers' resistance to AI agents in call center cus

Drivers on food-delivery platforms are granted the autonomy to select their delivery tasks. But this autonomy often leads to distracted driving, raising safety risks for both drivers and the public. We study whether AI-driven automated dispatch systems can mitigate these risks and how safety incidents affect drivers’ adherence to such systems. Using proprietary data from Baedal Minjok, South Korea’s largest food-delivery platform, we exploit the introduction of an optional AI dispatch system as