LEADER 01129nam0 22002771i 450 001 UON00146700 005 20231205102904.204 100 $a20020107d1967 |0itac50 ba 101 $araj$aHIN 102 $aIN 105 $a|||| 1|||| 200 1 $aSura diva desa ra$fHanuvantasimha Devara 210 $aJayapura$cRajasthani Sahitya Prakashana$d1967 215 $a81 p., p. di tav.$d19 cm 606 $aLETTERATURA HINDI$xRAJASTHAN$xPOESIA$3UONC004393$2FI 620 $aIN$dJaipur$3UONL000113 686 $aSI VI IR$cSUBCONT. INDIANO - LETTERATURE INDOARIE MINORI - RAJASTHANI$2A 700 1$aDEVARA$bHanuvantasimha$3UONV088125$0672132 712 $aRajasthani Sahitya Prakashana$3UONV264108$4650 790 1$aDEVARA, Hanavantasimha$zDEVARA, Hanuvantasimha$3UONV088126 801 $aIT$bSOL$c20240220$gRICA 899 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$2UONSI 912 $aUON00146700 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI SI VI IR 006 $eSI SA 38750 5 006 996 $aSura diva desa ra$91277156 997 $aUNIOR LEADER 02657nam 22005295 450 001 9910742481903321 005 20230825133933.0 010 $a9783031399084 010 $a3031399080 024 7 $a10.1007/978-3-031-39908-4 035 $a(MiAaPQ)EBC30721356 035 $a(Au-PeEL)EBL30721356 035 $a(DE-He213)978-3-031-39908-4 035 $a(CKB)28062338000041 035 $a(OCoLC)1395918325 035 $a(EXLCZ)9928062338000041 100 $a20230825d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe Juridification of Business Ethics /$fby Bart Jansen 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (161 pages) 311 08$aPrint version: Jansen, Bart The Juridification of Business Ethics Cham : Springer,c2023 9783031399077 327 $aAcknowledgements -- Chapter 1. Introduction -- Chapter 2. The Camera Iuridica -- Chapter 3. The Juridical Disclosure of Ethics in the Netherlands and Indonesia -- Chapter 4. Ethics as the Regulation of the Self -- Chapter 5. Dispute Resolution as an Ethical Phantasm -- Chapter 6. New Materialism in Business Ethics -- Chapter 7. Business Ethics on Its Last Legs.-Chapter 8. Conclusions and Final Remarks -- Index. 330 $aThis book provides a theory of the juridification of business ethics. Ethical codes pop up everywhere in the business world and increasingly resemble the code of law. A focus on compliance rather than reflection becomes the norm. Legal perspectives replace ethical perspectives, turning ethicists into lawyers without a law degree. This juridification of business ethics conceals a diminishing trust in ethics, as legal reasoning substitutes philosophical thinking. By appealing to the critical study of law, Bart Jansen advocates for a renewed focus on the ethical side of business. This book shows the importance of a good balance between law and ethics in business and is of great interest to both academics and professionals. 606 $aBusiness ethics 606 $aMetaethics 606 $aBusiness Ethics 606 $aMeta-Ethics 615 0$aBusiness ethics. 615 0$aMetaethics. 615 14$aBusiness Ethics. 615 24$aMeta-Ethics. 676 $a174.4 676 $a174.4 700 $aJansen$b Bart$01425515 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910742481903321 996 $aThe Juridification of Business Ethics$93555942 997 $aUNINA LEADER 05521nam 22007214a 450 001 9911019680603321 005 20200520144314.0 010 $a9786610276233 010 $a9781280276231 010 $a1280276231 010 $a9780470011355 010 $a0470011351 010 $a9780470011348 010 $a0470011343 035 $a(CKB)1000000000357448 035 $a(EBL)239034 035 $a(OCoLC)475950123 035 $a(SSID)ssj0000149684 035 $a(PQKBManifestationID)11147462 035 $a(PQKBTitleCode)TC0000149684 035 $a(PQKBWorkID)10239122 035 $a(PQKB)10338256 035 $a(MiAaPQ)EBC239034 035 $a(Perlego)2758830 035 $a(EXLCZ)991000000000357448 100 $a20050114d2005 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aEstimation in surveys with nonresponse /$fCarl-Erik Sarndal, Sixten Lundstrom 210 $aHoboken, NJ $cWiley$dc2005 215 $a1 online resource (214 p.) 225 1 $aWiley Series in Survey Methodology 300 $aDescription based upon print version of record. 311 08$a9780470011331 311 08$a0470011335 320 $aIncludes bibliographical references (p. [191]-194) and index. 327 $aEstimation in Surveys with Nonresponse; Contents; Preface; Chapter 1 Introduction; Chapter 2 The Survey and Its Imperfections; 2.1 The survey objective; 2.2 Sources of error in a survey; Chapter 3 General Principles to Assist Estimation; 3.1 Introduction; 3.2 The importance of auxiliary information; 3.3 Desirable features of an auxiliary vector; Chapter 4 The Use of Auxiliary Information under Ideal Conditions; 4.1 Introduction; 4.2 The Horvitz-Thompson estimator; 4.3 The generalized regression estimator; 4.4 Variance and variance estimation 327 $a4.5 Examples of the generalized regression estimatorChapter 5 Introduction to Estimation in the Presence of Nonresponse; 5.1 General background; 5.2 Errors caused by sampling and nonresponse; Appendix: Variance and mean squared error under nonresponse; Chapter 6 Weighting of Data in the Presence of Nonresponse; 6.1 Traditional approaches to weighting; 6.2 Auxiliary vectors and auxiliary information; 6.3 The calibration approach: some terminology; 6.4 Point estimation under the calibration approach; 6.5 Calibration estimators for domains; 6.6 Comments on the calibration approach 327 $a6.7 Alternative sets of calibrated weights6.8 Properties of the calibrated weights; Chapter 7 Examples of Calibration Estimators; 7.1 Examples of familiar estimators for data with nonresponse; 7.2 The simplest auxiliary vector; 7.3 One-way classi.cation; 7.4 A single quantitative auxiliary variable; 7.5 One-way classi.cation combined with a quantitative variable; 7.6 Two-way classi.cation; 7.7 A Monte Carlo simulation study; Chapter 8 The Combined Use of Sample Information and Population Information; 8.1 Options for the combined use of information 327 $a8.2 An example of calibration with information at both levels8.3 A Monte Carlo simulation study of alternative calibration procedures; 8.4 Two-step procedures in practice; Chapter 9 Analysing the Bias due to Nonresponse; 9.1 Simple estimators and their nonresponse bias; 9.2 Finding an ef.cient grouping; 9.3 Further illustrations of the nonresponse; 9.4 A general expression for the bias of the calibration estimator; 9.5 Conditions for near-unbiasedness; 9.6 A review of concepts, terms and ideas; Appendix: Proof of Proposition 9.1; Chapter 10 Selecting the Most Relevant Auxiliary Information 327 $a10.1 Discussion10.2 Guidelines for the construction of an auxiliary vector; 10.3 The prospects for near-zero bias with traditional estimators; 10.4 Further avenues towards a zero bias; 10.5 A further tool for reducing the bias; 10.6 The search for a powerful auxiliary vector; 10.7 Empirical illustrations of the indicators; 10.8 Literature review; Chapter 11 Variance and Variance Estimation; 11.1 Variance estimation for the calibration estimator; 11.2 An estimator for ideal conditions; 11.3 A useful relationship; 11.4 Variance estimation for the two-step A and two-step B procedures 327 $a11.5 A simulation study of the variance estimation technique 330 $aAround the world a multitude of surveys are conducted every day, on a variety of subjects, and consequently surveys have become an accepted part of modern life. However, in recent years survey estimates have been increasingly affected by rising trends in nonresponse, with loss of accuracy as an undesirable result. Whilst it is possible to reduce nonresponse to some degree, it cannot be completely eliminated. Estimation techniques that account systematically for nonresponse and at the same time succeed in delivering acceptable accuracy are much needed. Estimation in Surveys with Nonrespons 410 0$aWiley Series in Survey Methodology 606 $aEstimation theory 606 $aSampling (Statistics) 606 $aNonresponse (Statistics) 615 0$aEstimation theory. 615 0$aSampling (Statistics) 615 0$aNonresponse (Statistics) 676 $a519.5/44 700 $aSarndal$b Carl-Erik$f1937-$0102999 701 $aLundstrom$b Sixten$0614447 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911019680603321 996 $aEstimation in surveys with nonresponse$91130860 997 $aUNINA