Achievable

, 37

Age

, 18, 50, 51, 52, 53, 74, 91

Agile workforce

, 77, 78

Aging workforce

, 49, 50, 52, 56, 57, 72

AI systems

, 8, 10, 61, 66, 67, 68, 84

Artificial intelligence (AI)

, 1, 6, 9, 16, 52, 61–68, 103

Asynchronous appropriation

, 33, 35–36

Automation

, 2, 3, 5, 6, 9, 10, 16, 83

Automation anxiety

, 6

Baby boomers

, 18, 52, 57, 58, 104, 107

Big data

, 6, 9, 10, 61, 91

Career competency models

, 24, 25

Career pathway development

, 56

Career pathways

, 19, 22, 23–25, 56, 57, 75

Centre for the New Economy and Society

, 8, 9, 10

Chapter case study example

, 27–28, 46–47, 57–59, 100–101, 107–109

Cognitive development

, 82–84

Communication technologies

, 29, 30, 33–34, 39, 41, 42, 46

Composition of the workforce

, 50

Crowdsourcing

, 29, 30–31

Developing a recruitment infrastructure

, 19, 21–23

Differences between education and training

, 6–7

Disadvantaged workers

, 4, 5, 69–89, 92, 95, 103

Diversity intelligence

, 8

Educational technology

, 69–72, 96

Education and skills deficiency

, 78–80

Emerging trends

, 105

Employee engagement

, 61–68, 78, 100, 104

Employee experience (EX)

, 103, 104–105

Fairness

, 61–68, 91

Flexible and adaptive leadership

, 93

Geographic dispersion

, 31–32, 42

Hiring paradigm shift

, 49–59

Human–machine collaboration

, 14, 26, 84–89

Human productivity

, 82–84

Human resource development

, 1, 18, 52, 78, 79, 98

Human resource management

, 1

Increasing diversity

, 23

Integration of technology in the workforce

, 51–52

Job outcomes

, 61–68

Knowledge transfer

, 54–56

Learning and development

, 52, 53–54, 57

Low skill

, 5, 17, 69–89, 92, 95, 98, 100, 103

Low skill workers

, 2–5, 9, 10, 15, 30, 33, 46, 83, 94, 103, 105, 107

Machine learning

, 7–11, 16, 52, 57, 83, 103

Managing and developing teams

, 19

Managing people and technology

, 91–101

Managing people with big data

, 91–93

Managing technology

, 69–89

Measurable

, 25, 37

Middle skill

, 10, 14, 15, 17, 23, 46, 49, 69–89, 92, 93, 94, 95, 98, 100, 103

POLC framework

, 29

Potential

, 6, 20, 21, 23, 24, 26, 46, 52, 54, 83, 86, 88, 93, 98

Power

, 4, 6, 41, 54, 87, 97, 105

Productivity

, 2, 23, 25, 26, 49, 50, 61, 73, 77, 82, 83, 87, 99

Relevant

, 1, 8, 10, 21, 37, 42, 52, 71, 73, 94, 97, 106

Retention

, 23, 24, 62, 67, 68, 107

Skills gap

, 10, 16, 17–18, 20, 24, 26, 50

Specific goals/objectives

, 37

Synchronous appropriation

, 33, 35–36

Talent

, 17, 18, 23, 27, 49, 50, 52, 54, 58, 73, 91, 92, 93, 101, 107, 108

Talent management

, 91, 92, 107

Team coordination

, 40

Team structuring

, 40

Team’s goals and objectives

, 36–37, 38, 39, 44

Technology

, 1, 2, 5, 40, 49, 52, 71, 75, 89, 91, 92, 94, 95, 96, 98, 100

Technology adoption

, 9, 94–95, 106

Technology development

, 2, 87, 95–98, 99

Technology disruption

, 5–6

Temporal dispersion

, 29, 32–33, 38, 40, 41, 43, 44, 45, 46

Temporary agencies

, 72, 80

Time-bound

, 37

Upskilling

, 10, 16, 25–26, 27, 51, 53, 54, 58, 94, 107

Valuing people and technology

, 97, 98–99

Virtual teams

, 1, 29–47, 103

Wage inequality

, 2–5

Work and resource plan

, 36, 38