How can a company enhance employee satisfaction and time effectiveness by enabling AI in their ticketing system?

Suresh, Sujay (2022) How can a company enhance employee satisfaction and time effectiveness by enabling AI in their ticketing system? Masters thesis, Dublin, National College of Ireland.

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Abstract

The current research has aimed to examine the employee satisfaction and effectiveness of AI-based ticketing systems which can help the organisations in improving their services. This research has been conducted based on quantitative methods in which survey-based data collection has been conducted and frequency analysis based on SPSS and regression has been applied. The results have identified that an AI-based ticketing system has been quite helpful for the organisations in improving their businesses and employee satisfaction. The research has identified significant results which have been properly interpreted and discussed based on prior literature. The research has also helped as it developed a brief conclusion and implications/recommendations regarding the results. The results also identified that employees are highly satisfied for resolving the tickets along with the software being customer friendly as well. Also, results indicated that in the presence of a large number of tickets there were less shortages and troubles within the system.

Item Type:	Thesis (Masters)
Supervisors:	Name Email McCabe, Thomas UNSPECIFIED
Uncontrolled Keywords:	Artificial Intelligence; Ticketing Software; HRM; Technology; Quantitative – AI – ticketing system – ticketing tools – static instrument/tools
Subjects:	Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence H Social Sciences > HF Commerce > Customer Service H Social Sciences > HD Industries. Land use. Labor > Issues of Labour and Work > Quality of Work Life / Job Satisfaction
Divisions:	School of Business > Master of Science in International Business
Depositing User:	Tamara Malone
Date Deposited:	31 Mar 2023 15:44
Last Modified:	31 Mar 2023 15:44
URI:	https://norma.ncirl.ie/id/eprint/6402

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