Flexibility in Resource Management [[electronic resource] /] / edited by Sushil, T. P. Singh, Anand J. Kulkarni |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (223 pages) : illustrations (some color) |
Disciplina | 658 |
Collana | Flexible Systems Management |
Soggetto topico |
Production management
Organization Planning Risk management Operations research Decision making Operations Management Risk Management Operations Research/Decision Theory |
ISBN | 981-10-4888-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Valuation of Flexibility Initiatives – A Conceptual Framework -- Analysis of Impact of Asset, Strategic Intent on Product Family Engineering Flexibility for IT Organizations -- Measuring Innovation by Universities & Higher Academic Technical Institutions in India: Total Interpretive Structural Modelling Based Framework -- How Can Network Science Help to Make an Organization Resilient and Successful -- Organizational Flexibility and Entrepreneurship: Knowledge Management Perspective -- Managing Workplace Diversity through Organizational Climate: A Case of Indian Organizations -- A Conceptual Framework for Studying the Relationship between Workplace Spirituality and Knowledge Sharing: The Theory of Planning Behavior Perspective -- Analysis of Drivers of GSCM in Power Industry Using Total Interpretive Structural Modeling (TISM) -- A New Methodology for Computer Aided Process Planning Using Multi Criteria Decision Making Technique -- Analysis of Growth of High-Tech Ventures and the Role of Management of Technology in Venture Scale-Up -- Financial Flexibility through Share Repurchases: A Case of Indian Companies -- Relative Financial Performance Indicator Approach for Portfolio Selection: A Case of Indian Stock Market -- Mitigation of Supply Risk through Scenario Modelling. |
Record Nr. | UNINA-9910767539803321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Machine Intelligence and Data Science Applications : Proceedings of MIDAS 2022 / / edited by Amar Ramdane-Cherif, T. P. Singh, Ravi Tomar, Tanupriya Choudhury, Jung-Sup Um |
Autore | Ramdane-Cherif Amar |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (559 pages) |
Disciplina | 006.3 |
Altri autori (Persone) |
SinghT. P
TomarRavi ChoudhuryTanupriya UmJung-Sup |
Collana | Algorithms for Intelligent Systems |
Soggetto topico |
Computational intelligence
Artificial intelligence Quantitative research Machine learning Computational Intelligence Artificial Intelligence Data Analysis and Big Data Machine Learning |
ISBN | 981-9916-20-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Blockchain-supported Sustainable Supply Chain in Industry 4.0 -- COVID 19 Cases In India: A Study on the effect of Weather Factors and Building the Forecast Model -- A Review On Scheduling in Cloud Fog Computing Environments -- Simplifying Handwritten Medical Prescription: OCR Approach. |
Record Nr. | UNINA-9910743681303321 |
Ramdane-Cherif Amar | ||
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|