Complex Service Desk System for Incident Management Automation

Lengthy waiting times and repetitive, routine requests can detrimentally impact the operational efficiency of the Service Desk department, ultimately jeopardizing customer loyalty to the company. This paper advocates for a conceptual artifact within the Service Desk system, comprising multiple integrated systems to form a comprehensive solution for efficient incident management. The envisioned Service Desk system incorporates a virtual assistant to streamline fundamental incident management activities, leveraging technologies like customer intent detection, expert systems, and an expertise locator system to enhance ticket resolution efficiency. This proposed system’s design adheres to the principles of the design science methodology. To assess both the identified problem area and the efficacy of the proposed artifact, ex-ante evaluation methods were employed, specifically through focus group discussions. The envisioned artifact not only addresses the immediate challenges but also contributes to the broader adoption of knowledge management tools in IT service management. The potential implications of implementing this artifact extend to Service Desk departments, fostering increased effectiveness in incident management practices and information flow. This, in turn, holds promise for an overall improvement in the efficiency and responsiveness of Service Desk operations, positively impacting customer satisfaction and loyalty.

Authors

Institutions

Publication Details

Journal
Computing Open
Published
2025-01-01
DOI
https://doi.org/10.1142/s2972370125500035
Citations
1
Primary Topic
Service-Oriented Architecture and Web Services
Type
article
Field-Weighted Citation Impact
3.25
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Complex Service Desk System for Incident Management Automation

Michal Dostál
1 citations
Computing Open
Service-Oriented Architecture and Web Services
3.25
article

Complex Service Desk System for Incident Management Automation

Michal Dostál
article en
1 citations

Abstract

Lengthy waiting times and repetitive, routine requests can detrimentally impact the operational efficiency of the Service Desk department, ultimately jeopardizing customer loyalty to the company. This paper advocates for a conceptual artifact within the Service Desk system, comprising multiple integrated systems to form a comprehensive solution for efficient incident management. The envisioned Service Desk system incorporates a virtual assistant to streamline fundamental incident management activities, leveraging technologies like customer intent detection, expert systems, and an expertise locator system to enhance ticket resolution efficiency. This proposed system’s design adheres to the principles of the design science methodology. To assess both the identified problem area and the efficacy of the proposed artifact, ex-ante evaluation methods were employed, specifically through focus group discussions. The envisioned artifact not only addresses the immediate challenges but also contributes to the broader adoption of knowledge management tools in IT service management. The potential implications of implementing this artifact extend to Service Desk departments, fostering increased effectiveness in incident management practices and information flow. This, in turn, holds promise for an overall improvement in the efficiency and responsiveness of Service Desk operations, positively impacting customer satisfaction and loyalty.

Computing OpenVol. 03
Technical University of Liberec (CZ)
Openalex Percentile: Top 10%
Service-Oriented Architecture and Web Services
3.25
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.