Issue |
E3S Web Conf.
Volume 132, 2019
XXII International Scientific Conference POLSITA 2019 “Progress of mechanical engineering supported by information technology”
|
|
---|---|---|
Article Number | 01020 | |
Number of page(s) | 6 | |
Section | Engineering and Technology | |
DOI | https://doi.org/10.1051/e3sconf/201913201020 | |
Published online | 22 November 2019 |
Automation of management processes
The Jerzy Kukuczka Physical Education Academy in Katowice, Faculty of Sport and Tourism Management, 40-065 Katowice, Poland
* Corresponding author: l.ochoa@awf.katowice.pl
Artificial intelligence and service automation are the key to these kinds of new, product-related services. They increasingly penetrate the traditional mechanical and plant engineering sector and open up potentials for innovative services. Tourism services providers are going through rapid changes and the role of Information and Communication Technology, artificial intelligence and service automation is increasing in all spheres of the service management system. When the organization is threatened by environmental changes such as crises or competition as a result of information technology development or increased customer demands, the need for communication increases. This paper presents the first step of an ongoing investigation that focuses on the tourist services experiences and construction of management knowledge on undergraduate tourism management students. We report and discuss the result of a survey conducted involving the students of Tourism management at The Jerzy Kukuczka Physical Education Academy in Katowice - Poland. Structured questionnaires based on a 12-item importance scale were administered to a convenience sample of respondents. The authors present a new paradigm that emerges as a response to polarisation and treats communication as more receiver-centered, stakeholder ⚟ based, relationship ⚟ building ⚟ oriented and of strategic importance.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.