<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-14T05:47:41Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:2099.1/16910" metadataPrefix="oai_dc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:2099.1/16910</identifier><datestamp>2025-07-22T15:21:31Z</datestamp><setSpec>com_2072_1033</setSpec><setSpec>col_2072_452951</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Effects of forced distribution rating systems on workforce productivity and potential in companies with internal promotion: A Monte-Carlo simulation</dc:title>
   <dc:creator>Sibbing, Carolina</dc:creator>
   <dc:contributor>Mead, Alan</dc:contributor>
   <dc:subject>Àrees temàtiques de la UPC::Economia i organització d'empreses::Direcció d'operacions::Estratègia operativa</dc:subject>
   <dc:subject>Industrial productivity</dc:subject>
   <dc:subject>Manpower planning</dc:subject>
   <dc:subject>Methods engineering</dc:subject>
   <dc:subject>Productivitat industrial</dc:subject>
   <dc:subject>Mà d'obra -- Planificació</dc:subject>
   <dc:subject>Organització del treball</dc:subject>
   <dc:description>How to improve performance of workforce and productivity is perhaps one of the most&#xd;
challenging issues for companies today. Rating systems can be used to improve performance&#xd;
potential by identifying high and low performers. Probably the determination of who shall or who&#xd;
shall not be promoted is the most important use of ratings (Odiorne, 1963).&#xd;
Performance rating systems can be classified into two general categories: absolute and relative&#xd;
systems (Cascio, 1991). Absolute ratings assess individuals against the same standards, and&#xd;
relative ratings are required to assess individuals in relation to another. Heneman (1986) and&#xd;
Nathan&amp;Alexander (1988) examined the differences between relative and absolute ratings, and&#xd;
found out that relative formats have stronger correlations with results orientated criteria like&#xd;
production quantity and sales volume. Forced Distribution Rating Systems (FDRS) are relative&#xd;
rating systems which evaluate performance, forcing raters to assign ratees into at least three&#xd;
categories (top, middle and bottom) and are often tied to termination decisions. The most basic&#xd;
approach of FDRS is sometimes referred as a “totem pole” because it involves ranking all&#xd;
employees in a particular workgroup from best to worst (Grote, 2005). FDRS and other relative&#xd;
approaches have been argued to be more accurate than absolute systems as FDRS require&#xd;
raters to objectively find differences between ratees and leave distributional biases behind&#xd;
(Goffin, Gellatly, Paunonen, Jackson, &amp; Meyer, 1996; Heneman, 1986; Jelley &amp; Goffin, 2001;&#xd;
Nathan &amp; Alexander, 1988; Roch, Sternburgh, &amp; Caputo, 2007).&#xd;
When it comes to performance improvement, proponents and critics of forced ranking have both&#xd;
found support for their positions within the limited available existing research. Even FDRS&#xd;
supporters acknowledge that their fairness and usefulness largely depend on how they are&#xd;
implemented and whether or not they are accompanied by other changes in the overall&#xd;
performance management system. While there are no hard and fast statistics regarding which&#xd;
companies have succeed with the process and which have not, most observers agree that&#xd;
FDRS is more favorably in companies with a high-pressure, results orientated culture (Bates,&#xd;
2003) and seemed to be more acceptable at high-tech, manufacturing and financial service&#xd;
organizations, rather than in the public sector and retail sector (Todd &amp; Ramachandran, 2007).&#xd;
When done correctly, FDRS ensures that company resources are directed toward those who&#xd;
contribute the most or have the potential to make a positive difference. These resources include&#xd;
compensation and other rewards like internal promotions.&#xd;
“Forced Distribution Rating Systems are probably the most controversial issue in management&#xd;
today" (D. Grote in Bates, 2003, p. 64). Since 2000, articles about FDRS (also known as forced&#xd;
ranking) have appeared in such prominent international media outlets like The New York Times,&#xd;
The Economist, The Chicago Tribune, Financial Times and so on. The practice of FDRS gained&#xd;
fame based on the endorsement of General Electric CEO Jack Welch. The latest estimate is&#xd;
that up to 20 percent of all U.S. business organizations and up to 25 percent of Fortune 500&#xd;
firms use some type of FDRS (Sears &amp; McDermott, 2003)). As many as a quarter of the Fortune&#xd;
Page 2&#xd;
500 companies, including Cisco Systems, Hewlett-Packard, Microsoft, Lucent, Conoco, EDS,&#xd;
and Intel, may be currently using some type of performance management system built around&#xd;
that principle (Melsler, 2003). Nevertheless given the intense interest in FDRS, it is surprising&#xd;
that there is virtually no published research that can inform practitioners about their&#xd;
effectiveness.&#xd;
A prominent study on the field of FDRS was conducted by Scullen, Bergey and Aiman-Smith&#xd;
(2005). Scullen et al. demonstrated for the first time the efficacy of FDRS by means of a&#xd;
simulation obtaining performance potential in a scope of 30 years. The present study sought to&#xd;
extend Scullen’s study attending the limitations they highlighted in their discussion. Our study&#xd;
comprehends the following improvements: a) inclusion of a non-zero correlation between&#xd;
turnover and potential b) firing the lowest performers of the company (instead of firing the&#xd;
poorest performers of each workgroup) and c) evaluation of productivity by adding the costs per&#xd;
hire and the costs of replacement. Furthermore to emulate the reality of modern companies we&#xd;
decided to define a multilevel structure (executives, managers and workers) and we also&#xd;
considered the effects of using internal promotion or not.</dc:description>
   <dc:description>Outgoing</dc:description>
   <dc:date>2011</dc:date>
   <dc:type>Master thesis</dc:type>
   <dc:identifier>https://hdl.handle.net/2099.1/16910</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:rights>http://creativecommons.org/licenses/by-nc-nd/3.0/es/</dc:rights>
   <dc:rights>Open Access</dc:rights>
   <dc:rights>Attribution-NonCommercial-NoDerivs 3.0 Spain</dc:rights>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Universitat Politècnica de Catalunya</dc:publisher>
</oai_dc:dc></metadata></record></GetRecord></OAI-PMH>