Tabla de Contenidos: “…5.2 Selection Process -- 5.2.1 Prospective Candidate -- 5.2.2 Preliminary Interview and Employee Application Form -- 5.2.3 Review of Shortlisted Applications -- 5.2.4 Employment Interviews -- 5.2.5 Selection Decision -- 5.2.6 Pre-employment Screening, Background and Reference Checks -- 5.2.7 Pre-employment Medical Examination -- 5.2.8 Offer Letter -- 5.2.9 Outsourcing Selection -- 5.3 Selection Methods -- 5.3.1 Résumé and Application Form -- 5.3.2 Interviews -- 5.3.3 Ability Tests -- 5.3.4 Personality Questionnaires -- 5.3.5 Simulation Exercises -- 5.4 Employee Application Forms -- 5.5 Employment Interview -- 5.5.1 Best Practices for Effective Interviews -- 5.5.2 Interviews -- 5.5.3 Pitfalls During an Interview Process -- 5.6 Employment Tests -- 5.6.1 Characteristics of Tests -- 5.6.2 Types of Employment Tests -- 5.6.3 Unique Forms of Testing -- 5.6.4 Assessment Centres -- 5.7 How to Measure the Effectiveness of Selection -- Application Case -- In a Nutshell -- Drill Down -- Field Guide -- Review Questions -- Exercises -- References -- Web sites -- Chapter 6: Induction and Socialization -- Chapter Objectives -- 6.1 Understanding Socialization and Induction/Social Orientation -- 6.1.1 Socialization -- 6.1.2 Induction/Social Orientation -- 6.2 Purpose of Induction -- 6.3 Importance of Employee Induction -- 6.3.1 Psychological Contract -- 6.3.2 Cost Factor -- 6.4 What Happens Without an Effective Induction Programme? …”

Tabla de Contenidos: “…Assessing the Writing Situation -- 1.1 How Writing Happens -- 1.2 The Writing Situation -- 1.3 Audience -- 1.4 Purpose -- 1.5 Subject -- 1.6 Genre and Medium -- Chapter 2. …”

Tabla de Contenidos: “…3.9.1.1 AI-Enabled Smart App for Cattle Weighing -- 3.9.1.2 AI-Enabled Smart Apps for Plant and Animal Identification -- 3.10 Challenges from Moving Explorers to Novices -- 3.10.1 Separating the Urgent from the Important -- 3.10.2 Projects -- 3.10.3 Separating AI and Analytics Hype from Reality -- 3.10.4 Getting Data Right and Consistent -- 3.10.5 Budget -- 3.10.6 People -- 3.11 Conclusion and Next Steps for Explorers -- References -- 4 The Novices -- 4.1 Introduction -- 4.2 Some Characteristics of Novices -- 4.3 Common Technology Employed by Novices -- 4.4 Where Novices Are Gaining the Most for Data and Analytics -- 4.5 Healthcare Novices -- 4.5.1 Medium-Sized Physician Group Gets Boost in Revenue Cycle Management with Analytics Platform -- 4.5.2 Fetal Ultrasound and Estimated Weight Accuracy -- 4.6 Manufacturing Novices -- 4.6.1 A Large Food Products Company Innovates with ML and Visual Dashboards -- 4.6.2 Engineering and Construction Firm Uses Simulation to Improve Reliability -- 4.7 Retail Novices -- 4.7.1 Family-Owned Grocery Chain Starts CRM Program -- 4.7.2 Small Business Dream of Website and Internet Sales Happens -- 4.8 Energy Novices -- 4.8.1 Small Electric Co-op Improves Inspections with Analytics -- 4.9 Financial Services and Insurance Novices -- 4.9.1 Medium-Sized Bank Capitalizes on Workflow and Analytics -- 4.9.2 Medium-Sized Mortgage Company Cleans Data and Begins Forecasting -- 4.10 Other Novices -- 4.10.1 Dallas Auto Body and Painting Company Forecasting Labor -- 4.11 Challenges from Moving Novices to Practitioners -- 4.11.1 Team Changes May Be Required to Move to the Next Level of AI and Analytics Maturity -- 4.12 Conclusion -- 5 The Practitioners -- 5.1 Introduction -- 5.2 Some Characteristics of Practitioners -- 5.3 Common Technology Employed by Practitioners -- 5.3.1 Work Your Strategy Roadmap Backwards…”

Tabla de Contenidos: “…-- 6.0.2 Simple Analogy: The Recipe of Language -- 6.0.3 Natural Language Processing in Everyday Marketing -- 6.0.4 Let's Dive Deeper -- 6.1 Introduction to Natural Language Processing -- 6.1.1 Overview of Natural Language Processing -- 6.1.2 Importance of Natural Language Processing in Marketing -- 6.1.3 Components of Natural Language Processing: Syntax, Semantics, and Pragmatics -- 6.1.4 Challenges in Natural Language Processing -- 6.2 Text Preprocessing and Feature Extraction in Marketing Natural Language Processing -- 6.2.1 Tokenization and Stemming -- 6.2.2 Stop Word Removal -- 6.2.3 Vectorization: Bag of Words and TF-IDF -- 6.2.4 Word Embeddings: Word2Vec, GloVe -- 6.3 Key Natural Language Processing Techniques for Marketing -- 6.3.1 Text Analytics -- 6.3.2 Sentiment Analysis -- 6.3.3 Topic Modeling -- 6.3.4 Named Entity Recognition -- 6.3.5 Text Classification -- 6.4 Chatbots and Voice Assistants in Marketing…”

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