{"id":12038,"date":"2022-07-24T12:37:13","date_gmt":"2022-07-24T16:37:13","guid":{"rendered":"https:\/\/www.servsig.org\/wordpress\/?p=12038"},"modified":"2023-10-14T16:32:29","modified_gmt":"2023-10-14T20:32:29","slug":"cfp-the-future-of-work-service-employee-robot-collaboration","status":"publish","type":"post","link":"https:\/\/www.servsig.org\/wordpress\/2022\/07\/cfp-the-future-of-work-service-employee-robot-collaboration\/","title":{"rendered":"CfP JoSM: The Future of Work \u2013 Service Employee-(Ro)bot Collaboration"},"content":{"rendered":"\n
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Call for Papers for a Special Section of the Journal of Service Management<\/em><\/p>\n\n\n\n

Guest-Editors & Conference Track Chairs: Kunz W, Sajtos L, & Flavi\u00e1n C.<\/p>\n\n\n\n

Full Paper Deadline: 31 October 2023<\/strong><\/p>\n\n\n\n

The global social robotics market is expected to grow exponentially over the coming decade. Due to significant shifts in the global population (e.g., aging population, decreasing proportion of skilled workers), robots and automation are likely play a critical role in many areas of our life, including health care, education, communication, entertainment, and hospitality, among others. Enabled by artificial intelligence (AI), the abilities of robots and other technology-based agents have significantly improved in sensing their environment and responding to changes by processing information at high speed, and constantly learning from it; all of which contribute to improvements in robots\u2019 social interactions, including their human-like conversations, facial expressions and movements. <\/p>\n\n\n\n

Robots\nand other AI-based agents are likely to replace humans by overtaking various\ntasks of mechanical or analytical character. However, due to their high\ncomplementarity, the complexity of many service tasks and processes, and\nthe foreseeable demand for specialized services provided directly by humans, service\nemployees and (ro)bots are likely to work alongside and collaborate.\n<\/p>\n\n\n\n

Previous\nresearch have primarily focused on the analysis of users’ perceptions of robots\nand their characteristics, as well as the comparison of the service provided by\nhumans and (ro)bots. This special issue is intended to further advance this\npromising research line, but with a focus on collaboration between service employees\nand (ro)bots, the opportunities and synergies generated and their critical\ninterdependences. It is expected that this collaboration will be established at\nseveral stages of the service process including service promotion or\npresentation, service delivery and service recovery. This cooperation and\nintegration of activities between service employees and AI-based agents will\nimprove the way customers are attracted, the guiding received throughout the\ncustomer journey and the final result achieved with the service delivered.<\/p>\n\n\n\n

Topics of interest <\/strong><\/p>\n\n\n\n

This special section aims to contribute to the new research field of service (ro)bots and their impact on customer\/employee experience and society at large. Submissions can be conceptual or empirical (quantitative or qualitative) in nature. The topics can be approached from a customer\/employee or business perspective or both. Collaboration can be established with front-line service (ro)bots or any other AI-based system. Submissions focused on varied service environments are welcome (health, education, banking, tourism and hospitality, etc.). We highly value interdisciplinary approaches. Possible topics include, but are not limited to: <\/p>\n\n\n\n