LEADER 02234 am 22003853u 450 001 9910765727103321 005 20231206224016.0 010 $a9783631570852 024 7 $a10.3726/b13927 035 $a(CKB)4100000007523156 035 $a(OAPEN)1003191 035 $a(MiAaPQ)EBC30685993 035 $a(EXLCZ)994100000007523156 100 $a20200114d|||| uy 101 0 $ager 135 $auuuuu---auuuu 200 10$aEntscheidungsorientiertes Risikomanagement in der Industrieunternehmung 210 $aBern$cPeter Lang International Academic Publishers$d2018 215 $a1 online resource (343) 311 $a3-631-57085-6 330 $aDiese Untersuchung beschäftigt sich mit der konsistenten und effizienten Ausgestaltung eines Risikomanagementsystems, das geeignet ist die Auswirkungen der Ungewissheit in betriebswirtschaftlichen Entscheidungssituationen besser zu verstehen und Strategien für eine aktive Steuerung von Risikosituationen zu liefern. Neben einer umfassenden Diskussion des Risikophänomens und neuerer Verfahren der Risikomessung bildet die Analyse von Mehrstufigkeit und Interdependenz von Risikoentstehungsprozessen in Industriebetrieben den Kern der Arbeit. Diese münden in das Konzept eines Risikoinformations- und -steuerungssystems, das als Teil der Unternehmensplanung neben den erfolgs- auch die risikomäßigen Konsequenzen von Entscheidungen beleuchtet. Die Steuerung der Risikoübernahme im Verhältnis zur Risikotragfähigkeit ist dabei ein wichtiges Anwendungsfeld um Unternehmen krisenresistenter zu machen. 517 $aForschungsergebnisse der Wirtschaftsuniversitaet Wien vol. 20 606 $aBehavioural economics$2bicssc 606 $aBusiness studies: general$2bicssc 606 $aManagement & management techniques$2bicssc 606 $aIndustry & industrial studies$2bicssc 615 7$aBehavioural economics 615 7$aBusiness studies: general 615 7$aManagement & management techniques 615 7$aIndustry & industrial studies 700 $aSorger$b Helmut$4aut$01279495 906 $aBOOK 912 $a9910765727103321 996 $aEntscheidungsorientiertes Risikomanagement in der Industrieunternehmung$93015507 997 $aUNINA LEADER 04839oam 22010094 450 001 9910788343503321 005 20230721045635.0 010 $a1-4623-2148-8 010 $a1-4527-5714-3 010 $a1-4518-7101-5 010 $a1-282-84194-7 010 $a9786612841941 035 $a(CKB)3170000000055139 035 $a(EBL)1608054 035 $a(SSID)ssj0001488360 035 $a(PQKBManifestationID)11920041 035 $a(PQKBTitleCode)TC0001488360 035 $a(PQKBWorkID)11444467 035 $a(PQKB)10303281 035 $a(OCoLC)762356662 035 $a(MiAaPQ)EBC1608054 035 $a(IMF)WPIEE2008243 035 $a(EXLCZ)993170000000055139 100 $a20020129d2008 uf 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aWage-Price Setting in New EU Member States /$fManuela Goretti 210 1$aWashington, D.C. :$cInternational Monetary Fund,$d2008. 215 $a1 online resource (26 p.) 225 1 $aIMF Working Papers 225 0$aIMF working paper ;$vWP/08/243 300 $aDescription based upon print version of record. 311 $a1-4519-1554-3 320 $aIncludes bibliographical references. 327 $aContents; I. Background; II. Wage- and Price-Setting Relations; III. Additional Considerations; Figures; 1. NMS: Relationship Between GDP and Private Consumption Deflator, 2000-07; IV. Stylized Facts on NMS; 2. NMS: Real Wages and Labor Productivity, 2001-07; 3. NMS: Nominal Wages and Labor Productivity, 2001-07; 4. NMS: Labor Force Developments, 2001-07; Tables; 1. NMS: Index of Competition Policy, 2001-07; 5. NMS: Unit Labor Costs and Consumer Price Inflation, 2001-07; V. Empirical Wage- and Price-Setting Equations; VI. Econometric Results; 2. EU-27: Long-Run Wage Equation Estimation 327 $a3. EU-27: Wage Error Correction Model Estimation4. EU-27: Long-Run Price Equation Estimation; 5. EU-27: Price Error Correction Model Estimation; VII. Wage-Setting Variation Across NMS: Public Sector and Institutional Characteristics; 6. How Far Are Real Wages in NMS away from Equilibrium?; 7. NMS: Nominal Wage and Employment Growth in the Public Sector; 8. NMS: Excess Demand of Skilled Workers, 2004-06; 9. NMS: Union Density and Collective Bargaining; 6. NMS: Labor Flexibility, 2008; 10. NMS: Selected Labor Market Indicators, 2004-06; VIII. Conclusions; References 330 3 $aThis paper analyzes wage- and price-setting relations in new EU member countries. Panel estimates indicate a strong and significant relationship between real wages and labor productivity, as well as evidence of wage pass-through to inflation. Terms of trade shocks do not feed through to real wages. Country-specific wage developments, beyond differences in labor productivity growth, are mostly explained by real wage catch-up from different initial levels and different labor market conditions. Qualitative evidence also suggests that public sector wage demonstration effects and institutional factors may play a role in wage determination. 410 0$aIMF Working Papers; Working Paper ;$vNo. 2008/243 606 $aWages$zEurope, Eastern$xEconometric models 606 $aPrices$zEurope, Eastern$xEconometric models 606 $aLabor$2imf 606 $aProduction and Operations Management$2imf 606 $aWages, Compensation, and Labor Costs: General$2imf 606 $aDemand and Supply of Labor: General$2imf 606 $aHuman Capital$2imf 606 $aSkills$2imf 606 $aOccupational Choice$2imf 606 $aLabor Productivity$2imf 606 $aLabour$2imf 606 $aincome economics$2imf 606 $aMacroeconomics$2imf 606 $aReal wages$2imf 606 $aLabor markets$2imf 606 $aWages$2imf 606 $aLabor productivity$2imf 606 $aLabor costs$2imf 606 $aLabor market$2imf 607 $aRomania$2imf 615 0$aWages$xEconometric models. 615 0$aPrices$xEconometric models. 615 7$aLabor 615 7$aProduction and Operations Management 615 7$aWages, Compensation, and Labor Costs: General 615 7$aDemand and Supply of Labor: General 615 7$aHuman Capital 615 7$aSkills 615 7$aOccupational Choice 615 7$aLabor Productivity 615 7$aLabour 615 7$aincome economics 615 7$aMacroeconomics 615 7$aReal wages 615 7$aLabor markets 615 7$aWages 615 7$aLabor productivity 615 7$aLabor costs 615 7$aLabor market 676 $a331.2947 700 $aGoretti$b Manuela$01493486 801 0$bDcWaIMF 906 $aBOOK 912 $a9910788343503321 996 $aWage-Price Setting in New EU Member States$93716486 997 $aUNINA