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Analytics Enabled Decision Making / / edited by Vinod Sharma, Chandan Maheshkar, Jeanne Poulose
| Analytics Enabled Decision Making / / edited by Vinod Sharma, Chandan Maheshkar, Jeanne Poulose |
| Autore | Sharma Vinod |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Palgrave Macmillan, , 2023 |
| Descrizione fisica | 1 online resource (315 pages) |
| Disciplina | 658.403 |
| Altri autori (Persone) |
MaheshkarChandan
PouloseJeanne |
| Soggetto topico |
International business enterprises
Information technology - Management Business information services Business - Data processing Electronic commerce International Business Business Process Management Business Information Systems Business Analytics E-Business Business IT Infrastructure |
| ISBN |
9789811996580
981199658X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1 Next generation smart manufacturing and service systems using big data analytics -- Chapter 2 Elements of decision making under uncertainty -- Chapter 3 Data, Inference, and Marketing Decisions -- Chapter 4 Competitor and competition Analysis through analytics -- Chapter 5 Influence of big data analytics on business intelligence -- Chapter 6 Improved price alignment to perceived value of product/service using data analytics -- Chapter 7 Changing the landscape of retailing using pricing analytics -- Chapter 8 Enhancing efficiency and effectiveness in supply chain management through Business Intelligence -- Chapter 9 Quantifying thoughts and feelings about a company from big data to improve brand strength -- Chapter 10 Enabling achievement of organisational/corporate goals through HR analytics -- Chapter 11 Workforce Analytics facilitates Human Resource Demand Forecasting -- Chapter 12 Ascertainment of Employee Competencies and measurement with greater precision using T&D Analytics.-Chapter 13 Analytics to Measure Employees’ Behavioural Traits and predict employee performance -- Chapter 14 Using predictive analytics alongside psychometric assessments and other measures to identify the candidates with the right performance and behavioural criteria -- Chapter 15 Designing competitive yet cost effective compensation packages using analytics to reduce attrition -- Chapter 16 Mitigating Compliance Failure Risk using Analytics (gender equal pay, overtime payments, appropriate number of each category of employees) -- Chapter 17 Predictive analytics to aid employee alignment with the culture of the organisation -- Chapter 18 Analysing the impact of Employees’ Satisfaction and Frustration on their and organizations’ performance -- Chapter 19 Assessing and Controlling Political Behaviour of Groups in Organizations -- Chapter 20 Measuring Organizational/Industrial Citizenship Behaviour -- Chapter 21 Psychological Framework and Methodology for Analysing Decision Risk -- Chapter 22 Analysing Challenging Behaviours of Two Individuals with Intellectual Differences/Disability -- Chapter 23 Measuring the effectiveness of data analytics in higher education to improve student outcomes -- Chapter 24 Building an industry 4.0 analytics platform with a proven example and proof of concept -- Chapter 25 Gaining competitive advantage through business analytics. |
| Record Nr. | UNINA-9910726277303321 |
Sharma Vinod
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| Singapore : , : Springer Nature Singapore : , : Imprint : Palgrave Macmillan, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data-Driven Decision Making / / edited by Jeanne Poulose, Vinod Sharma, Chandan Maheshkar
| Data-Driven Decision Making / / edited by Jeanne Poulose, Vinod Sharma, Chandan Maheshkar |
| Autore | Poulose Jeanne |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Palgrave Macmillan, , 2024 |
| Descrizione fisica | 1 online resource (331 pages) |
| Disciplina | 658.403 |
| Altri autori (Persone) |
SharmaVinod
MaheshkarChandan |
| Soggetto topico |
Operations research
Statistics Quantitative research Financial engineering Technological innovations Artificial intelligence Operations Research and Decision Theory Statistics in Business, Management, Economics, Finance, Insurance Data Analysis and Big Data Financial Technology and Innovation Innovation and Technology Management Artificial Intelligence |
| ISBN |
9789819729029
9789819729012 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: A Framework for Mining of Text Data with the Application of Side Information -- Chapter 2: Developing a framework for career in AI, ML and Data Science -- Chapter 3: Do You Have an AI Mindset? Development and Validation of AI Mindset Questionnaire -- Chapter 4: Data Mining and Business Intelligence Trends -- Chapter 5: Strategic Data Analytics for Sustainable Competitive Advantage -- Chapter 6: HR Analytics: An indispensable tool for effective Talent Management -- Chapter 7: Developing a system for the application of analytics in the process of determination of capability and maturity of Higher Educational institute for improving student outcomes -- Chapter 8: Measurement Model of Co-Po Attainment in Higher Education– A Simplified Approach -- Chapter 9: Generational Cohort Analysis to purchase Fashion Products in India -- Chapter 10: Changing the Role of Retailing using Pricing Analytics -- Chapter 11: Death of an Industry: An Exploratory View on Block Chain and Analytics making U.S. Mortgage Title insurance extinct -- CHAPTER 12: Impact of Cognitive Heuristic and Emotional Bias on Investment Decision of Individuals in Tamil Nadu -- CHAPTER 13: Application of Artificial Intelligence on Smart Tourism Eco Space - An Integrated Approach Post-Covid-19 Era -- Chapter 14: Will Societies Accept Cryptocurrency as a Medium of Exchange?. |
| Record Nr. | UNINA-9910878055003321 |
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Poulose Jeanne
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| Singapore : , : Springer Nature Singapore : , : Imprint : Palgrave Macmillan, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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