loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Author: Harald Kjellin

Affiliation: Kristianstad University, Sweden

Keyword(s): Performance Metrics, Designing Measures.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Process Management ; e-Business ; Enterprise Engineering ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Modeling Concepts and Information Integration Tools ; Symbolic Systems

Abstract: The results of work in any section of an enterprise should preferably be described in a way that makes the results suited for benchmarking with other sections of the enterprise. The same goes for individual work results. Results are easily compared if they are measured according to some numerical standard. Numerical measures can be generalized and standardized until they can be considered as having a high degree of “reusability”. There are several types of enterprise models that include the use of reusable “soft” numerical values. With “soft” numerical values I refer to the type of values that cannot be directly measured in relation to objective facts but are artificially constructed measures that includes some kind of subjective estimation for calculating the value. Another requirement on such measures is that it should be possible to use them for comparing performance between individuals or between units of an organization or between organizations. These measures can, for instance, be used for customer appreciation of their relationships with the organization, as is often recommended in the method called “Balanced Scorecards” or they can be used when giving students numerical values as credits (points) for passing university courses. A summary of informal evaluations is presented. The evaluations concern how “soft” measures have been implemented in organizations. The results of the evaluations show that objective values based on facts can be combined with subjective estimations in a way that makes them less vulnerable to people manipulating the measures and less vulnerable to the subjectivity of superiors when estimating the quality of the results. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.16.66.206

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Kjellin, H. (2006). VERIFYING THE VALUE OF OBJECTIVE MEASURES - A Proposal for a Systematic Evaluation of Measures. In Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 5: ICEIS; ISBN 978-972-8865-43-6; ISSN 2184-4992, SciTePress, pages 497-500. DOI: 10.5220/0002491904970500

@conference{iceis06,
author={Harald Kjellin.},
title={VERIFYING THE VALUE OF OBJECTIVE MEASURES - A Proposal for a Systematic Evaluation of Measures},
booktitle={Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 5: ICEIS},
year={2006},
pages={497-500},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002491904970500},
isbn={978-972-8865-43-6},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 5: ICEIS
TI - VERIFYING THE VALUE OF OBJECTIVE MEASURES - A Proposal for a Systematic Evaluation of Measures
SN - 978-972-8865-43-6
IS - 2184-4992
AU - Kjellin, H.
PY - 2006
SP - 497
EP - 500
DO - 10.5220/0002491904970500
PB - SciTePress