Towards transparent and efficient process assessments for IT service management

IT service organisations recognise the value of conducting regular process assessments for continual service improvement. However lack of transparency and substantial costs deter industry adoption. We propose that the use of the international standard for process assessment ISO/IEC 15504 offers a transparent approach to address this challenge. Moreover, efficiency can be realized by a Decision Support System (DSS) tool to automate data collection and process capability calculations. This paper details a Design Science Research project to develop a software-mediated process assessment (SMPA) approach based on ISO/IEC 15504, ISO/IEC 20000 and the IT Infrastructure Library (ITIL®). We discuss the architecture of the SMPA approach and the role of ISO/IEC 15504 in the approach. This work contributes to practice as it may help IT managers to self-assess their processes using a standard model. The SMPA approach can also support assessors who perform formal assessments

Extending the IT service quality measurement framework through a systematic literature review

Continuous improvement of service quality results in enhanced customer satisfaction, increased efficiency and maximisation of business value of the service within the company. Decision-making on the course of service quality improvement is based on the current status of the measurable service quality attributes. The aim of the paper is to describe the IT service quality attributes that could be measured to improve IT service quality. We report on a systematic literature review of IT service quality measurement. The review was based on 134 relevant journal articles related to IT service quality management. Of these, 91 articles were selected for analysis. We propose a detailed and comprehensive quality measurement framework for IT services using the results of the systematic literature review to extend previous work. The framework presents six common issue areas with their associated measurement categories, measures, and indicators. IT service providers can choose the measures to satisfy their specific information needs from the proposed IT service quality measurement framework. We conclude that IT service quality improvement efforts could benefit from considering the internal IT service quality attributes from the viewpoint of the value the provided IT service could bring to both the customer and the provider

Goodness-of-fit tests for the inverse Gaussian and related distributions

Anderson-Darling’s test, goodness-of-fit test, inverse Gaussian distribution, moment, Schwarz criterion, score test, smooth test, random walk distribution, 62F03, 62A05,