Artificial intelligence in healthcare: the value co-creation process and influence of other digital health transformations

Swan, Eric L.; Peltier, James W.; Dahl, Andrew J.

doi:10.1108/jrim-09-2022-0293

Cited by 3 publications

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Engaging consumers through artificially intelligent technologies: Systematic review, conceptual model, and further research

Hollebeek,

Menidjel,

Sarstedt

et al. 2024

Psychology and Marketing

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While consumer engagement (CE) in the context of artificially intelligent (AI‐based) technologies (e.g., chatbots, smart products, voice assistants, or autonomous cars) is gaining traction, the themes characterizing this emerging, interdisciplinary corpus of work remain indeterminate, exposing an important literature‐based gap. Addressing this gap, we conduct a systematic review of 89 studies using the Preferred Reporting Items for Systematic reviews and Meta‐Analyses (PRISMA) approach to synthesize the AI‐based CE literature. Our review yields three major themes of AI‐based CE, including (i) Increasingly accurate service provision through AI‐based CE; (ii) Capacity of AI‐based CE to (co)create consumer‐perceived value, and (iii) AI‐based CE's reduced consumer effort in their task execution. We also develop a conceptual model that proposes the AI‐based CE antecedents of personal, technological, interactional, social, and situational factors, and the AI‐based CE consequences of consumer‐based, firm‐based, and human‐AI collaboration outcomes. We conclude by offering pertinent implications for theory development (e.g., by offering future research questions derived from the proposed themes of AI‐based CE) and practice (e.g., by reducing consumer‐perceived costs of their brand/firm interactions).

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Engaging consumers through artificially intelligent technologies: Systematic review, conceptual model, and further research

Hollebeek,

Menidjel,

Sarstedt

et al. 2024

Psychology and Marketing

View full text Add to dashboard Cite

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AI-orientation and company climate action: The moderating role of dependency structure and innovation capability

Zeng,

Guo,

Fan

et al. 2024

Industrial Marketing Management

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Robotics and Automation in Hospitality Services

Banu,

Samantaray,

Ayesha

et al. 2024

Advances in Business Strategy and Competitive Advantage

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The hotel sector is always developing and adjusting to the demands of its clients. Hotel robots have brought about a new mode of communication. When hoteliers are having trouble finding workers, Robots are used in the hospitality sector to do a variety of jobs, such as help at the front desk, clean, bring goods to guest rooms, give information, and automate repetitive operations to increase productivity and visitor happiness. In restaurants and bars, robots are already able to take orders through voice recognition or touchscreens, serve food and beverages, and even clear tables. Hotel room service can be operated by robots. These robots can be programmed to knock on doors, navigate elevators and halls, and perform jobs like bringing food and drinks. This not only increases output but also makes a good impression on clients.This book chapter presents four exploratory studies on the potential use of robots for customer feedback collection in the hotel industry.

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Artificial intelligence in healthcare: the value co-creation process and influence of other digital health transformations

Cited by 3 publications

References 50 publications

Engaging consumers through artificially intelligent technologies: Systematic review, conceptual model, and further research

Engaging consumers through artificially intelligent technologies: Systematic review, conceptual model, and further research

AI-orientation and company climate action: The moderating role of dependency structure and innovation capability

Robotics and Automation in Hospitality Services

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