Behavioural modelling of career progression in the European Commission
► Shows how behavioural factors can be incorporated into HR system modelling. ► Led to a new appraisal and promotion system in the European Commission. ► Uses novel, regression-based sampling methods. Though manpower planning models have been part of OR for many years, and simulation has always been...
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Veröffentlicht in: | European journal of operational research 2012-11, Vol.222 (3), p.632-641 |
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creator | Onggo, S. Pidd, M. Soopramanien, D. Worthington, D.J. |
description | ► Shows how behavioural factors can be incorporated into HR system modelling. ► Led to a new appraisal and promotion system in the European Commission. ► Uses novel, regression-based sampling methods.
Though manpower planning models have been part of OR for many years, and simulation has always been acknowledged as a potential approach, there are few reported applications of its use. In this case-based study we report on a micro-simulation model that exploits the structure of the European Commission’s appraisal and promotion rules, and includes regression-based sampling schemes which allow for non-Normal error terms to represent behavioural factors that led to the need for a new system. With a suitably parsimonious formulation the 20,000 person model runs very effectively, and the transparency associated with simulation proves an important factor in the successful use of the model as the basis for designing a promotion box system that was implemented across the Commission in 2009. The simulation modelling incorporates many Markov-type elements, and we reflect on important lessons learned from this combined use of micro-simulation and Markov-based approaches to manpower modelling. |
doi_str_mv | 10.1016/j.ejor.2012.05.027 |
format | Article |
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Though manpower planning models have been part of OR for many years, and simulation has always been acknowledged as a potential approach, there are few reported applications of its use. In this case-based study we report on a micro-simulation model that exploits the structure of the European Commission’s appraisal and promotion rules, and includes regression-based sampling schemes which allow for non-Normal error terms to represent behavioural factors that led to the need for a new system. With a suitably parsimonious formulation the 20,000 person model runs very effectively, and the transparency associated with simulation proves an important factor in the successful use of the model as the basis for designing a promotion box system that was implemented across the Commission in 2009. The simulation modelling incorporates many Markov-type elements, and we reflect on important lessons learned from this combined use of micro-simulation and Markov-based approaches to manpower modelling.</description><identifier>ISSN: 0377-2217</identifier><identifier>EISSN: 1872-6860</identifier><identifier>DOI: 10.1016/j.ejor.2012.05.027</identifier><identifier>CODEN: EJORDT</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Applied sciences ; Exact sciences and technology ; Firm modelling ; Human resources ; Linear inference, regression ; Linear regression ; Markov analysis ; Mathematical models ; Mathematics ; Operational research and scientific management ; Operational research. Management science ; Operations research ; OR in manpower planning ; Probability and statistics ; Sciences and techniques of general use ; Simulation ; Statistics ; Studies ; Workforce planning</subject><ispartof>European journal of operational research, 2012-11, Vol.222 (3), p.632-641</ispartof><rights>2012 Elsevier B.V.</rights><rights>2015 INIST-CNRS</rights><rights>Copyright Elsevier Sequoia S.A. Nov 1, 2012</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c389t-67c7c4d9eb78958f2dafc41330846adfd3065a2ae23da8466b022279ec37a7e43</citedby><cites>FETCH-LOGICAL-c389t-67c7c4d9eb78958f2dafc41330846adfd3065a2ae23da8466b022279ec37a7e43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0377221712003852$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27903,27904,65309</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=26185241$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Onggo, S.</creatorcontrib><creatorcontrib>Pidd, M.</creatorcontrib><creatorcontrib>Soopramanien, D.</creatorcontrib><creatorcontrib>Worthington, D.J.</creatorcontrib><title>Behavioural modelling of career progression in the European Commission</title><title>European journal of operational research</title><description>► Shows how behavioural factors can be incorporated into HR system modelling. ► Led to a new appraisal and promotion system in the European Commission. ► Uses novel, regression-based sampling methods.
Though manpower planning models have been part of OR for many years, and simulation has always been acknowledged as a potential approach, there are few reported applications of its use. In this case-based study we report on a micro-simulation model that exploits the structure of the European Commission’s appraisal and promotion rules, and includes regression-based sampling schemes which allow for non-Normal error terms to represent behavioural factors that led to the need for a new system. With a suitably parsimonious formulation the 20,000 person model runs very effectively, and the transparency associated with simulation proves an important factor in the successful use of the model as the basis for designing a promotion box system that was implemented across the Commission in 2009. The simulation modelling incorporates many Markov-type elements, and we reflect on important lessons learned from this combined use of micro-simulation and Markov-based approaches to manpower modelling.</description><subject>Applied sciences</subject><subject>Exact sciences and technology</subject><subject>Firm modelling</subject><subject>Human resources</subject><subject>Linear inference, regression</subject><subject>Linear regression</subject><subject>Markov analysis</subject><subject>Mathematical models</subject><subject>Mathematics</subject><subject>Operational research and scientific management</subject><subject>Operational research. Management science</subject><subject>Operations research</subject><subject>OR in manpower planning</subject><subject>Probability and statistics</subject><subject>Sciences and techniques of general use</subject><subject>Simulation</subject><subject>Statistics</subject><subject>Studies</subject><subject>Workforce planning</subject><issn>0377-2217</issn><issn>1872-6860</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNp9UE1LAzEQDaJgXf0DnhbE46752CRb8KKlVaHgRc8hTWbbLLubmmwL_ntTWzwKAwMz78178xC6JbgkmIiHtoTWh5JiQkvMS0zlGZqQWtJC1AKfowlmUhaUEnmJrmJsMcaEEz5Bi2fY6L3zu6C7vPcWus4N69w3udEBIOTb4NcBYnR-yN2QjxvI57vgt6CHfOb73v2urtFFo7sIN6eeoc_F_GP2WizfX95mT8vCsHo6FkIaaSo7hZWsp7xuqNWNqQhjuK6Eto1lWHBNNVBmdRqJFaaUyikYJrWEimXo7ng32fraQRxVm6wPSVIRTAXnNUuVIXpEmeBjDNCobXC9Dt8JpA55qVYd8lKHvBTmKuWVSPen0zoa3TVBD8bFPyYVpOY0ec3Q4xEH6c-9g6CicTAYsC6AGZX17j-ZH_3ugJI</recordid><startdate>20121101</startdate><enddate>20121101</enddate><creator>Onggo, S.</creator><creator>Pidd, M.</creator><creator>Soopramanien, D.</creator><creator>Worthington, D.J.</creator><general>Elsevier B.V</general><general>Elsevier</general><general>Elsevier Sequoia S.A</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20121101</creationdate><title>Behavioural modelling of career progression in the European Commission</title><author>Onggo, S. ; Pidd, M. ; Soopramanien, D. ; Worthington, D.J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c389t-67c7c4d9eb78958f2dafc41330846adfd3065a2ae23da8466b022279ec37a7e43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Applied sciences</topic><topic>Exact sciences and technology</topic><topic>Firm modelling</topic><topic>Human resources</topic><topic>Linear inference, regression</topic><topic>Linear regression</topic><topic>Markov analysis</topic><topic>Mathematical models</topic><topic>Mathematics</topic><topic>Operational research and scientific management</topic><topic>Operational research. Management science</topic><topic>Operations research</topic><topic>OR in manpower planning</topic><topic>Probability and statistics</topic><topic>Sciences and techniques of general use</topic><topic>Simulation</topic><topic>Statistics</topic><topic>Studies</topic><topic>Workforce planning</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Onggo, S.</creatorcontrib><creatorcontrib>Pidd, M.</creatorcontrib><creatorcontrib>Soopramanien, D.</creatorcontrib><creatorcontrib>Worthington, D.J.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>European journal of operational research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Onggo, S.</au><au>Pidd, M.</au><au>Soopramanien, D.</au><au>Worthington, D.J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Behavioural modelling of career progression in the European Commission</atitle><jtitle>European journal of operational research</jtitle><date>2012-11-01</date><risdate>2012</risdate><volume>222</volume><issue>3</issue><spage>632</spage><epage>641</epage><pages>632-641</pages><issn>0377-2217</issn><eissn>1872-6860</eissn><coden>EJORDT</coden><abstract>► Shows how behavioural factors can be incorporated into HR system modelling. ► Led to a new appraisal and promotion system in the European Commission. ► Uses novel, regression-based sampling methods.
Though manpower planning models have been part of OR for many years, and simulation has always been acknowledged as a potential approach, there are few reported applications of its use. In this case-based study we report on a micro-simulation model that exploits the structure of the European Commission’s appraisal and promotion rules, and includes regression-based sampling schemes which allow for non-Normal error terms to represent behavioural factors that led to the need for a new system. With a suitably parsimonious formulation the 20,000 person model runs very effectively, and the transparency associated with simulation proves an important factor in the successful use of the model as the basis for designing a promotion box system that was implemented across the Commission in 2009. The simulation modelling incorporates many Markov-type elements, and we reflect on important lessons learned from this combined use of micro-simulation and Markov-based approaches to manpower modelling.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.ejor.2012.05.027</doi><tpages>10</tpages></addata></record> |
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subjects | Applied sciences Exact sciences and technology Firm modelling Human resources Linear inference, regression Linear regression Markov analysis Mathematical models Mathematics Operational research and scientific management Operational research. Management science Operations research OR in manpower planning Probability and statistics Sciences and techniques of general use Simulation Statistics Studies Workforce planning |
title | Behavioural modelling of career progression in the European Commission |
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