Challenges and Opportunities in Applied System Innovation
| Challenges and Opportunities in Applied System Innovation |
| Autore | Douligeris Christos |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (230 p.) |
| Soggetto topico |
Environmental science, engineering and technology
Technology: general issues |
| Soggetto non controllato |
6GCIoHE theoretical framework
6GIIoE applications 6GIIoE challenges 6GIIoE priorities 6GIIoE theoretical framework artificial and human intelligence artificial intelligence assembly automotive industry applications bridge change management circular building circular economy circular resource flows civil engineering classification clustering cognitive data intelligence cognitive healthcare cognitive load cognitive manufacturing common welfare concurrent engineering construction construction engineering COVID-19 data science decision-support model design strategies digital model digital twin digitization electric power industry employee motivation employee satisfaction expansion joint health management health-saving strategies human resources human-computer interaction implementation strategies Industry 4.0 information system joint gap labor productivity line-scan camera machine learning machine vision manufacturing industry applications predictive analytics predictive maintenance process planning systems quality of life risks and risk management security sensor sequential methodology smart bridge maintenance equipment socio-political assessment software tool statistical data processing structural health monitoring sustainable development system optimization tiny machine learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580215303321 |
Douligeris Christos
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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Sustainable Human Resource Management / Tamás Bányai
| Sustainable Human Resource Management / Tamás Bányai |
| Autore | Bányai Tamás |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (310 p.) |
| Soggetto non controllato |
subordinates’ Moqi with supervisors
talent management skills analytics autonomy administrative innovation HRM practices personal trait regulatory focus perceived insider status promotion of employees employee innovation employee motivation conceptual framework knowledge-sharing social support sustainable human resource management public sector universities strategic human resource management sustainability Semantic Web employee loyalty selection sustainable work systems regulating effect social network analysis teleworkers’ abilities job satisfaction participation manufacturing flexibility gender culture organizational cynicism labor market in postal sector training human resource policies telework stakeholders corporate social responsibility machine operator work–life balance high-commitment HRM system gender differences youth generation social exchange theory Afghanistan Ministry of Mines and Petroleum female CEOs Pakistan data science characteristics of sustainable human resource management product development personal resources social implications of telework process innovation employee empowerment organizational political climate power distance orientation job category industry 4.0 job performance organizational sustainability organizational socialization absorbing Markov-chain career path environment occupational stress collaboration sustainable organization employee structure employee satisfaction sustainable human resources sustainable HRM practices |
| ISBN |
9783039216833
303921683X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367748403321 |
Bányai Tamás
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Lo trovi qui: Univ. Federico II | ||
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