An Analytical Model for Service Profile Based Service Quality of an Institutional eLibrary
Ash Mohammad Abbas

TL;DR
This paper introduces analytical models to evaluate and improve the service quality of institutional electronic libraries by analyzing delays and penalties associated with content delivery.
Contribution
It proposes two novel analytical models based on delay penalties and credits to assess service quality in electronic libraries.
Findings
Models effectively quantify service delays and penalties.
Framework aids in identifying areas for service improvement.
Potential to enhance user satisfaction through better management.
Abstract
Devising a scheme for evaluating the service quality of an institutional electronic library is a difficult and challenging task. The challenge comes from the fact that the services provided by an institutional electronic library depend upon the contents requested by the users and the contents housed by the library. Different types of users might be interested in different types of contents. In this paper, we propose a technique for evaluating the service quality of an institutional electronic library. Our scheme is based on the service profiles of contents requested by the users at the server side which is hosted at the library. Further, we propose models to analyze the service quality of an electronic library. For analyzing the service quality, we present two analytical models. The first one is based on the number of days by which the item to be served by the library is delayed and the…
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Taxonomy
TopicsTechnology Adoption and User Behaviour · Recommender Systems and Techniques · Green IT and Sustainability
