LEADER 02686nam 2200421 450 001 9910141093003321 005 20240213151540.0 010 $a88-15-30440-1 035 $a(CKB)2670000000120500 035 $a(NjHacI)992670000000120500 035 $a(EXLCZ)992670000000120500 100 $a20240213d2011 uy 0 101 0 $aita 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aStress e rischi psicosociali nelle organizzazioni $eValutare e controllare i fattori dello stress lavorativo /$fFranco Fraccaroli, Cristian Balducci 210 1$aBologna :$cSocieta? editrice il Mulino Spa,$d2011. 215 $a1 online resource (256 pages) 225 1 $aAspetti della psicologia 327 $aRingraziamenti -- Introduzione -- Capitolo primo Stress lavorativo e fattori di rischio psicosociale -- Capitolo secondo Il ruolo delle caratteristiche individuali -- Capitolo terzo Modelli teorici del rischio psicosociale -- Capitolo quarto La valutazione dei fattori di rischio psicosociale nelle organizzazioni -- Capitolo quinto La prevenzione -- Appendice -- Riferimenti bibliografici. 330 $aLa valutazione dello stress lavoro-correlato e? divenuta attivita? obbligatoria per tutte le organizzazioni, secondo quanto stabilito dal Testo Unico sulla salute e la sicurezza lavorativa (D.Lgs. 81/2008). I profondi mutamenti che hanno caratterizzato in tempi recenti il mondo del lavoro, tra cui l'introduzione massiccia delle nuove tecnologie, l'ampio ricorso a forme contrattuali temporanee, la frequenza di ristrutturazioni, fusioni ed incorporazioni tra aziende, hanno portato all'emergere di nuove forme di rischio psicosociale che esercitano il loro effetto di deterioramento della salute primariamente attraverso il fenomeno dello stress. Il volume esamina i fattori organizzativi coinvolti nello stress da lavoro, illustrando il ruolo delle caratteristiche personali, richiamando i piu? importanti modelli teorici del rischio psicosociale, descrivendo l'attivita? di valutazione e indicando le diverse opzioni di prevenzione. 410 0$aAggiornamenti.$pAspetti della psicologia. 517 $aStress e rischi psicosociali nelle organizzazioni 606 $aWork$xPsychological aspects 606 $aJob stress 615 0$aWork$xPsychological aspects. 615 0$aJob stress. 676 $a158.7 700 $aFraccaroli$b F$g(Franco),$0124650 702 $aBalducci$b Cristian 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910141093003321 996 $aStress e rischi psicosociali nelle organizzazioni$9241184 997 $aUNINA LEADER 05283nam 22007695 450 001 9910586592403321 005 20251225203549.0 010 $a3-031-14463-5 024 7 $a10.1007/978-3-031-14463-9 035 $a(MiAaPQ)EBC7072668 035 $a(Au-PeEL)EBL7072668 035 $a(CKB)24368777100041 035 $a(PPN)264191358 035 $a(BIP)85343084 035 $a(BIP)85025311 035 $a(DE-He213)978-3-031-14463-9 035 $a(EXLCZ)9924368777100041 100 $a20220810d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning and Knowledge Extraction $e6th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2022, Vienna, Austria, August 23?26, 2022, Proceedings /$fedited by Andreas Holzinger, Peter Kieseberg, A Min Tjoa, Edgar Weippl 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (390 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v13480 311 08$aPrint version: Holzinger, Andreas Machine Learning and Knowledge Extraction Cham : Springer International Publishing AG,c2022 9783031144622 320 $aIncludes bibliographical references and index. 327 $aExplain to Not Forget: Defending Catastrophic Forgetting with XAI -- Approximation of SHAP values for Randomized Tree Ensembles -- Color shadows (part I): exploratory usability evaluation of activation maps in radiological machine learning -- Effects of Fairness and Explanation on Trust in Ethical AI -- Towards Refined Classifications driven by SHAP explanations -- Global Intepretable Calibration Index, a New Metric to Estimate Machine Learning Models' Calibration -- The ROC Diagonal is not Layperson?s Chance: a New Baseline Shows the Useful Area -- Debiasing MDI Feature Importance and SHAP values in Tree Ensembles -- The Influence of User Diversity on Motives and Barriers when Using Health Apps - A Conjoint Investigation of the Intention-Behavior Gap -- Identifying Fraud Rings Using Domain Aware Weighted Community Detection -- Capabilities, limitations and challenges of style transfer with CycleGANs: a study on automatic ring design generation -- Semantic Causal Abstraction for Event Prediction -- An Evaluation Study of Intrinsic Motivation Techniques applied to Reinforcement Learning over Hard Exploration Environments -- Towards Generating Financial Reports From Tabular Data Using Transformers -- Evaluating the performance of SOBEK text mining keyword extraction algorithm -- Classification of Screenshot Image Captured in Online Meeting System -- A survey on the application of virtual reality in event-related potential research -- Visualizing Large Collections of URLs Using the Hilbert Curve -- How to Reduce the Time Necessary for Evaluation of Tree-based Models -- An Empirical Analysis of and Guidelines for Synthetic-Data-based Anomaly Detection -- SECI Model in Data-Based Procedure for the Assessment of the Frailty State in Diabetic Patients -- Comparing machine learning correlations to domain experts? causal knowledge: Employee turnover use case -- Machine learning and knowledge extraction to support work safety for smart forest operations. 330 $aThis book constitutes the refereed proceedings of the 6th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2022, held in Vienna, Austria during August 2022. The 23 full papers presented were carefully reviewed and selected from 45 submissions. The papers are covering a wide range from integrative machine learning approach, considering the importance of data science and visualization for the algorithmic pipeline with a strong emphasis on privacy, data protection, safety and security. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v13480 606 $aArtificial intelligence 606 $aSoftware engineering 606 $aDatabase management 606 $aData mining 606 $aInformation storage and retrieval systems 606 $aMachine theory 606 $aArtificial Intelligence 606 $aSoftware Engineering 606 $aDatabase Management 606 $aData Mining and Knowledge Discovery 606 $aInformation Storage and Retrieval 606 $aFormal Languages and Automata Theory 615 0$aArtificial intelligence. 615 0$aSoftware engineering. 615 0$aDatabase management. 615 0$aData mining. 615 0$aInformation storage and retrieval systems. 615 0$aMachine theory. 615 14$aArtificial Intelligence. 615 24$aSoftware Engineering. 615 24$aDatabase Management. 615 24$aData Mining and Knowledge Discovery. 615 24$aInformation Storage and Retrieval. 615 24$aFormal Languages and Automata Theory. 676 $a658.4038 676 $a006.31 702 $aHolzinger$b Andreas 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910586592403321 996 $aMachine Learning and Knowledge Extraction$91896731 997 $aUNINA