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• W2912108559 abstract "Contextualisation: Enterprise Resource Planning (ERP) systems have become one of the largest IT investments in recent years. Yet the implementation of this IT technology often involves some problems. Analyses and studies have identified very high overruns and project fiascos. There is an obvious need for better estimation, allowing imple­menting organisations a more precise or realistic specification of costs. Unfortunately, neither has a suitable model been developed nor are traditional software estimation mod­els suitable to be transferred to prediction. Research about this issue is relatively fragmented and the analysis of is still in its fledging stages. Purpose: This thesis aims to analyse the fields and during the whole lifespan of an in German SMEs in the industrial sector with 30 to 1,500 employees. Different approaches for predicting will be deduced on the basis of these findings. Conceptual Framework: Within this thesis, the three factors cost types, cost drivers and the ERP lifecycle are combined into one conceptual framework. The conducted systematic literature review identified the five different types internal personnel costs, external personnel costs, hardware costs, licence costs and ERP software costs and found 35 to be relevant in this thesis. The is divided into three stages: evaluation, implementation and maintenance. The combination of the differ­ent types and different phases results in 12 different fields. The driver candidates are analysed for their impact on each field. Method: In order to access this research issue, a quantitative survey design that involved asking responsible managers in the target group about their expenditures was con­ducted. This was accomplished by way of self-completion questionnaires provided by an online survey tool. The sampling strategy was a self-selecting one that yielded 72 eligible respondents. Based on this sample, the data was analysed for correlations, and multiple regressions were conducted using SPSS. Findings: Firstly, this thesis identifies a structure of fields for the arising during each phase and for its whole lifespan. Secondly, it maps which of the identified have an influence on each of the 12 fields. Thirdly, it cre­ates a regression model of how to predict for its whole lifespan. The developed model yields a mean magnitude of relevant error (MMRE) of 34%. Comparing this value to other approaches shows that it contributes to an improved prediction model. So far it is the best fit in effort estimation." @default.
• W2912108559 created "2019-02-21" @default.
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• W2912108559 date "2017-02-28" @default.
• W2912108559 modified "2023-09-27" @default.
• W2912108559 title "The Estimation of ERP Lifecyle Costs: A Quantitative Analysis of Cost Types and Cost Drivers for German Small and Mid-Sized Companies" @default.
• W2912108559 hasPublicationYear "2017" @default.
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