Automation and artificial intelligence in hospitality and tourism | Emerald Insight - 0 views
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Human knowledge, services and robotics applications were the most significant factors influencing automation and AI implementation. Practitioners and researchers in the hospitality and tourism industry could apply the proposed framework to develop sustainable strategies for implementing and managing automation and AI. The proposed framework may also be useful in future studies examining AI implementation in the hospitality and tourism industry.
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Smart technologies like automation and artificial intelligence (AI) have become important elements of hospitality and tourism
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Hospitality and tourism firms use smart technology to dynamically enhance consumer experience (Buhalis and Sinarta, 2019). Smart hospitality and tourism have provided opportunities for firms to enhance their operations and productivity, resulting in higher quality products and better processes for delivering services to customer
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Although hospitality and tourism organizations have already implemented smart technologies such as AI and robotics into their business activities (Epiknetworks, 2018), the companies adopting them are still limited owing to the individual, organizational and external environment barriers.
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Researchers still need to engage better, investigate and understand these nascent developments (Murphy et al., 2017), and limited studies have examined the implementation challenges.
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Technological development plays a vital role in tourists’ decision-making processes. Digital technologies and cyber-physical systems may even act as extensions of a tourist’s self (Stylos, 2019). Several researchers have focused on the importance of including AI in tourism education (Murphy et al., 2017) and to be prepared for technology shifts in their industry
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They also suggested that employees in the hospitality and tourism sector should study robot design and machine learning to link changes in technology to the international tourism industry.
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In future, tourism will take place in a robonomic economy and tourists will demand a high-touch service experience
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The use of smart technologies such as chatbots usually receives positive feedback and the benefits of this technology outweigh the challenges (Buhalis and Yen, 2020). The advancement of novel technologies involves a process of knowledge management, including maintenance, disruption and change. This needs the integration of technologies and institutions and results in the growth of new values and services (Vargo et al., 2015).
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Service providers need to think critically about how AI applications in hospitality and tourism might affect people’s use of the service. They should also consider what needs to be changed to ensure that robots and employees work together seamlessly to augment the service experience (Buhalis et al., 2019). Smart technologies and AI could disrupt services in the hospitality industry, altering customer engagement plans and expectations (Helkkula et al., 2018).
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Hospitality software has moved from local to server-based to Web-based to cloud-based platforms (Leung, 2020). The future smart infrastructure with high-speed networks enables efficient data exchange amongst databases in real time and therefore immediate service (Buhalis and Sinarta, 2019)
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Technologies tested in previous studies have been improved by highly interactive systems, increased capability and a more user-friendly interface, so examining perceived interactivity of technology has become more important for advanced robot acceptance models (Go et al., 2020). Ivanov et al. (2019) stated that robotics was not introduced early to the travel, tourism and hospitality industries, because of the complexity of human reactions to customer needs.
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Customers must experience feelings of enjoyment and satisfaction interacting with the robot. Customer attitudes are shaped by experience, and employee skills depend on education and training, as well as the company’s needs (Ivanov et al., 2019). Robots are expected to eventually overtake humans for cognitive tasks, with human input only required for duties requiring empathy and emotion
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Intelligent agent technology is one of the most useful methods for supply chain management because it combines social ability, intelligence and collaboration (Alsetoohy and Ayoun, 2018). Alsetoohy et al. (2019) claimed that current procurement practices lack coordination and proactivity between suppliers and buyers, intelligent tools for finding suitable suppliers, performance evaluation and automation
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By pairing robots and humans, service delivery can be optimized, leading to increased productivity and reduced costs
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This study was about adoption and automation of AI in hospitality. It gives great insight on the process as well as what people think of AI and their opinions. In addition to that, this study goes into different techniques that were used to understand how and why AI should be implemented. Human interaction cannot be beat, along with personal touch and humans can't remember everything a computer can, but if you have robots and humans working together you can get the best of both worlds. Smart technologies are now and the future.