MATEC Web Conf.
Volume 119, 2017The Fifth International Multi-Conference on Engineering and Technology Innovation 2016 (IMETI 2016)
|Number of page(s)||10|
|Published online||04 August 2017|
Combining zmet and mec in study of user expectations for ideal catering customer service app
1 Department of Industrial and Systems Engineering, Chung Yuan Christian University, Taoyuan City 32023, Taiwan
2 Department of Electrical & Electronic Engineering, City University London, Northampton Square, London EC1V 0HB, United Kingdom
a Corresponding author : email@example.com
The designing and marketing models of general catering customer service APP are made from business owners needs or from commissioned design company’s thoughts. The ZMET and MEC technique are used to understand the consumers more properly. Consumers usually will not purchase a product for just the physical content or functionality of the product but will do so because of other reasons, such as what the product presents socially, how it affects their emotions and more In this context, it is necessary to identify the meaning better. This research attempts to understand how customer satisfaction in the context of the catering industry could be understood better by identifying product and company attributes. The catering company can then develop a unique style of their own, so consumers can better understand the ethos of the company, their culture and style. According to consumers’ experience, we conclude 5 user expectations of catering customer service APP, including Fans Evaluation, Online-to-Offline Consistency, Timeliness, Smart Order, and Customized Logistics. In this paper, the results of these information show that the user expectations of catering customer services APP will become the effective scientific reference and different patterns of cognitive communities.
© The Authors, published by EDP Sciences, 2017
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.