LEADER 01232cam0 2200301 450 001 E600200032657 005 20210929092436.0 100 $a20071220d1984 |||||ita|0103 ba 101 $aita$aeng 102 $aIT 200 1 $aKetubbot italiane$eantichi contratti nuziali ebraici miniati$fpresentazione di Liliana Grassi$gtesti di V. Colorni ... [et al.] 210 $a[S.l.]$cAssociazione italiana amici dell'Universita di Gerusalemme$d1984 215 $a30 p.$cill.$d27 cm 300 $aTesto anche in inglese 300 $aContiene anche gli atti del Congresso su la Ketubba italiana tenuto a Milano nel 1981 300 $aEd. di 1000 esempl. numerati 702 1$aGrassi, Liliana$3AF00010512$4070 801 0$aIT$bUNISOB$c20210929$gRICA 850 $aUNISOB 852 $aUNISOB$j900|Opusc$m43143 852 $aUNISOB$j700$m86057 912 $aE600200032657 940 $aM 102 Monografia moderna SBN 941 $aM 957 $a900|Opusc$b000186$gRIS$d43143$rdono$tO$1pregresso2$2UNISOB$3UNISOB$420071220095837.0$520210929092150.0$6rovito 957 $a700$b002053$gSI$d86057$rACQUISTO$1catenacci$2UNISOB$3UNISOB$420130221113531.0$520130221113632.0$6catenacci 996 $aKetubbot italiane$91588332 997 $aUNISOB LEADER 02207oam 2200505I 450 001 9910705261203321 005 20141204140520.0 035 $a(CKB)5470000002448754 035 $a(OCoLC)877883215 035 $a(OCoLC)995470000002448754 035 $a(EXLCZ)995470000002448754 100 $a20140422d2013 ua 0 101 0 $aeng 135 $aurmn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAnalysis and synthesis of load forecasting data for renewable integration studies $epreprint /$fN. Steckler [and three others] 210 1$aGolden, CO :$cNational Renewable Energy Laboratory,$d2013. 215 $a1 online resource (6 pages) $ccolor illustrations 225 1 $aNREL/CP ;$v5D00-60270 300 $a"November 2013." 300 $a"Presented at the 12th International Workshop on Large-Scale Integration of Wind Power into Power Systems, London, England, October 22-24, 2013." 300 $aTitle from title screen (viewed on Apr. 22, 2014). 320 $aIncludes bibliographical references (page 6). 517 $aAnalysis and synthesis of load forecasting data for renewable integration studies 606 $aElectric power-plants$xLoad$xForecasting 606 $aElectric power consumption$xForecasting 606 $aInterconnected electric utility systems$xResearch 606 $aError analysis (Mathematics) 615 0$aElectric power-plants$xLoad$xForecasting. 615 0$aElectric power consumption$xForecasting. 615 0$aInterconnected electric utility systems$xResearch. 615 0$aError analysis (Mathematics) 700 $aSteckler$b Nicholas$01399855 712 02$aNational Renewable Energy Laboratory (U.S.), 712 12$aAnnual International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Power Plants$d(12th :$f2013 :$eLondon, England) 801 0$bSOE 801 1$bSOE 801 2$bOCLCO 801 2$bGPO 906 $aBOOK 912 $a9910705261203321 996 $aAnalysis and synthesis of load forecasting data for renewable integration studies$93465915 997 $aUNINA LEADER 01493nam0 22003491i 450 001 UON00316842 005 20231205104122.536 010 $a05-218-0660-7 100 $a20081023d2002 |0itac50 ba 101 $aeng 102 $aGB 105 $a|||| ||||| 200 1 $aRansom, revenge and heroic identity in the Iliad$fDonna F. Wilson 210 $aCambridge$cCambridge University press$d2002 215 $aix, 236 p.$d24 cm 606 $aACHILLE (Mitologia greca) NELLA LETTERATURA$3UONC053117$2FI 606 $aAGAMENNONE (mitologia greca) nella letteratura$3UONC070218$2FI 606 $aEROI NELLA LETTERATURA$3UONC020340$2FI 606 $aGUERRA DI TROIA NELLA LETTERATURA$3UONC053354$2FI 606 $aIDENTITA' NELLA LETTERATURA$3UONC063691$2FI 606 $aOMERO$xOpere$xIliade$3UONC025892$2FI 606 $aPOESIA EPICA GRECA$xStoria e critica$3UONC033354$2FI 620 $dCambridge$3UONL000022 676 $a883$cPoesia epica e narrativa greca classica$v21 700 1$aWILSON$bDonna F.$3UONV181156$0450975 712 $aCambridge University Press$3UONV245943$4650 801 $aIT$bSOL$c20250620$gRICA 899 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$2UONSI 912 $aUON00316842 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI T 1 HOM 5017 $eSI MC 32058 7 996 $aRansom, revenge and heroic identity in the Iliad$9148100 997 $aUNIOR LEADER 06790nam 22006375 450 001 9910799483503321 005 20251009085041.0 010 $a9783031487927 024 7 $a10.1007/978-3-031-48792-7 035 $a(PPN)275425827 035 $a(CKB)29436936000041 035 $a(MiAaPQ)EBC31027998 035 $a(Au-PeEL)EBL31027998 035 $a(OCoLC)1416748684 035 $a(DE-He213)978-3-031-48792-7 035 $a(EXLCZ)9929436936000041 100 $a20231219d2023 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence along the Customer Journey $eA Customer Experience Perspective /$fby Ada Maria Barone, Emanuela Stagno 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Palgrave Macmillan,$d2023. 215 $a1 online resource (xiii,127 pages) $cillustrations 320 $aIncludes bibliographical references and index. 327 $aChapter 1. Introduction -- 1. A brief guide to artificial intelligence -- 2. Key artificial intelligence technologies along the customer journey -- 2.1. AI-powered self-service technologies -- 2.2. Chatbots -- 2.3. Voice assistants -- 2.4. Service robots -- 2.5. Augmented reality -- 2.6. Virtual reality -- 3. A new framework for modelling artificial intelligence technologies along the customer journey -- 3.1. Study design and procedure -- 3.2. Study results -- 4. A customer experience perspective on artificial intelligence -- 5. Appendix -- 6. References -- Chapter 2. AI-powered self-service technologies -- 1. Conventional vs. AI-powered SSTs: key characteristics and differences -- 2. AI-based SSTs: the rise of checkout-free and just walk out technologies -- 3. AI-powered self-service technologies along the customer journey: current applications and potential for the future -- 4. Conclusion -- 5. References -- Chapter 3. Chatbots -- 1. What are chatbots and why they are important for customer experience -- 2. The drivers of consumers? cognitive, affective, and behavioural responses to chatbots -- 2.1 Consumers? expectations and perceptions of chatbots -- 2.2. How to design chatbots for successful customer experiences: the role of human-like features -- 2.3 Disclosure of chatbot identity -- 3. The impact of chatbots on the customer journey: what we know so far and directions for future research -- 4. Conclusion -- 5. References -- Chapter 4. Voice Assistants -- 1. Drivers of VAs? adoption -- 2. Privacy concerns as a deterrent of VA adoption -- 3. The impact of voice assistants on the customer journey -- 4. Directions for future research -- 5. Conclusion -- 6. References -- Chapter 5. Robots in Retail -- 1. Service robots and their main characteristics -- 2. When and why do consumers prefer robots over human employees? -- 3. Collaboration between robots and service employees -- 4. Service robots across the customer journey -- 5. Service robots in the face of service failure -- 6. Directions for futureresearch -- 7. Conclusion -- 8. References -- Chapter 6. Augmented Reality -- 1. Augmented reality in advertising: the power of AR in the pre-purchase stage -- 2. Augmented reality in retailing: virtual try-on applications -- 3. Augmented reality in retailing: augmented environments and product presentations -- 4. Directions for the future for augmented reality across the customer journey: business opportunities and avenues for further research -- 5. Conclusion -- 6. References -- Chapter 7. Virtual Reality and the Customer Journey -- 1. The main dimensions of virtual reality -- 2. Virtual reality experiences in the customer journey -- 3. Directions for future research -- 4. Conclusion -- 5. References -- Chapter 8. Conclusions -- 1. References -- Index. 330 $aThe development of several AI solutions has revolutionized the way in which consumers behave. Serving as a guide to the role that AI plays on different aspects of consumers? life, this book provides a comprehensive understanding of the main artificial intelligence (AI) solutions available in the market. In particular, the authors adopt a customer experience approach to investigate how different AI technologies play a role at different stages of the customer journey (e.g., from pre-purchase to post-purchase decisions). Covering a range of technologies, such as augmented reality, voice assistants, chatbots and robots, readers will be able to learn which strategies and AI solutions are more effective at different stages of the customer journey. Ada Maria Barone is a Senior Lecturer in Marketing at the Institute of Management Studies, Goldsmiths, University of London. Her main research interests lie at the intersection of marketing, sustainability, and consumer psychology, with a special focus on the understanding of the psychological mechanisms underlying consumers? sustainable behaviours (e.g., disposal decisions, plant-based consumption). Another stream of research she is interested in is focused on the understanding of the antecedents of consumers? and employees? acceptance of artificial intelligence technologies. Emanuela Stagno is a Lecturer in Marketing at the University of Sussex Business School. She conducts research in judgment, decision-making, and consumer behavior, with a particular emphasis on consumer decisions when dealing with financial and physical hardships and new technologies. One of her research streams focuses on understanding how and when hardship influences consumers? attention, cognitive processes, and behavior. Another of her research streams explores how new technologies (i.e., smart surveillance technologies) influence citizens? behavior and sociability. 606 $aConsumer behavior 606 $aTechnological innovations 606 $aTelemarketing 606 $aInternet marketing 606 $aCustomer relations$xManagement 606 $aConsumer Behavior 606 $aInnovation and Technology Management 606 $aDigital Marketing 606 $aCustomer Relationship Management 615 0$aConsumer behavior. 615 0$aTechnological innovations. 615 0$aTelemarketing. 615 0$aInternet marketing. 615 0$aCustomer relations$xManagement. 615 14$aConsumer Behavior. 615 24$aInnovation and Technology Management. 615 24$aDigital Marketing. 615 24$aCustomer Relationship Management. 676 $a658.80028563 700 $aBarone$b Ada Maria$01586355 702 $aStagno$b Emanuela 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910799483503321 996 $aArtificial Intelligence along the Customer Journey$93872739 997 $aUNINA