Author:
Blöcher Katharina,Alt Rainer
Abstract
AbstractThe restaurant technology market is rapidly evolving and is transforming the restaurant business as a significant sector of tourism and hospitality. Enabled by artificial intelligence (AI), mobile apps, kiosks and chatbots revolutionize the guest experience and robots automate restaurant operations. Despite the increasing interest, the use of AI and robotics in restaurants is still in its early stage and restaurant managers are seeking guidance to leverage these technologies for service excellence. In this high-contact service sector, emotional skills need to be balanced with the possible automation potentials. The present research analyzes the current state of AI and robotics in the restaurant sector and proposes a systematic identification of process innovation potentials. For this purpose, a market analysis of the European AI and robotics market for restaurant operations is conducted, which yields a first knowledge base for future research and conceptual work. Besides detailed empirical data, a reference process is developed for leveraging new technologies for process innovation.
Publisher
Springer Science and Business Media LLC
Subject
Management of Technology and Innovation,Marketing,Computer Science Applications,Economics and Econometrics,Business and International Management
Reference152 articles.
1. Adam, M., Wessel, M., & Benlian, A. (2020). AI-based chatbots in customer service and their effects on user compliance. Electronic Markets, 1-19. https://doi.org/10.1007/s12525-020-00414-7.
2. Acosta, L., González, E. J., Rodríguez, J. N., Hamilton, A. F., Méndez, J. A., Hernéndez, S., Sigut, M., & Marichal, G. N. (2006). Design and implementation of a service robot for a restaurant. International Journal of Robotics and Automation, 21(4). https://doi.org/10.2316/Journal.206.2006.4.206-2909.
3. Aguilar, E., Remeseiro, B., Bolanos, M., & Radeva, P. (2018). Grab, pay, and eat: Semantic food detection for smart restaurants. IEEE Transactions on Multimedia, 20(12), 3266–3275. https://doi.org/10.1109/TMM.2018.2831627.
4. Allmendinger, G., & Lombreglia, R. (2005). Four strategies for the age of smart services. Harvard Business Review, 83(10), 131–4, 136, 138 passim.
5. Alsheibani, S., Messom, C., & Cheung, Y. (2020). Re-thinking the competitive landscape of artificial intelligence. In T. Bui (Ed.), Proceedings of the 53rd Hawaii international conference on system sciences. https://doi.org/10.24251/HICSS.2020.718.
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