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The model integrates multi-level organizational data inputs from macro-level business data to granular individual-level employee information. Each simulation run used four years of workforce longitudinal data at the start. Initially, the expert panel predictions did not validate simulation results. However, once alteration of a key model parameter recalibrated individual employees as more economically rational, later runs provided strong support for the model and modeling approach. The simulation results confirmed, among several expert panel predictions, that setting a policy that decreased the likelihood of employee willingness to retire due to replacement income concerns could lead to other consequences with potentially adverse strategic implications for the firm.<\/p>","DOI":"10.4018\/ijsda.2012010104","type":"journal-article","created":{"date-parts":[[2012,1,13]],"date-time":"2012-01-13T08:47:42Z","timestamp":1326444462000},"page":"48-107","source":"Crossref","is-referenced-by-count":3,"title":["Emergent Dynamics of Workforce Program Reductions"],"prefix":"10.4018","volume":"1","author":[{"given":"Steven","family":"Cavaleri","sequence":"first","affiliation":[{"name":"Central Connecticut State University, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chester S.","family":"Labedz","sequence":"additional","affiliation":[{"name":"Central Connecticut State University, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"George H.","family":"Stalker","sequence":"additional","affiliation":[{"name":"Dataleaf Technologies, Inc., USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"ijsda.2012010104-0","doi-asserted-by":"crossref","unstructured":"Akkermans, H. 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