Issue |
ITM Web Conf.
Volume 41, 2022
International Conference on Exploring Service Science (IESS 2.2)
|
|
---|---|---|
Article Number | 01006 | |
Number of page(s) | 13 | |
Section | General Track | |
DOI | https://doi.org/10.1051/itmconf/20224101006 | |
Published online | 08 February 2022 |
Process Management Models in Service Enterprises: A Systematic Literature Review
Kybele Research Group, Rey Juan Carlos University, Tulipán S/N, Móstoles, Madrid, 28933, Spain
* Corresponding author: daniela.feversani@urjc.es
Improvements to business processes influence the quality of services with which the customer is provided. This principle is the basis of the Total Quality Management approach. This paper presents a systematic literature review carried out in order to identify the most commonly used models in service companies to manage their internal processes. In addition, the type/size of companies that most frequently use these models are identified to find gaps in such utilization to contribute to the service science field. The review process made it possible to identify 1507 studies, 74 of which were eventually classified as primary studies. The results showed that the most widely used models are the European Foundation for Quality Management (EFQM) for organisational management, and the Capability Maturity Model Integration for Services (CMMI-SVC), which is employed to determine the organisation’s maturity, evaluate processes and improve services. The use of ISO/IEC 20000 standards for IT service management and ISO/IEC 9001 for product and service quality management was also identified, as were proposals such as the ITIL framework with best practices in IT service management. With regard to the type of organisations that implement these solutions, large companies prevail and small and medium-sized enterprises (SMEs) are underrepresented.
Key words: Processes management / quality of services / systematic literature review
© The Authors, published by EDP Sciences, 2022
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.