INDEX

agility principle, 120

organizational branding issue of, 34, 43, 43t

in organizational design, 116, 116t

in performance management, 104t

in reward systems, 88t

selection process analysis of, 58, 58t

in talent, 12

in talent development, 72t 73

in talent management, 23–25, 30, 30t, 43

Amazon, 35

appraisal: gig and short-term worker, 102

performance-free zones in, 96

ratingless, 98

scheduled performance process in, 93

traditional performance, 90

AT&T, 34, 60, 67, 115

Berrett-Koehler, 36

best practice, 1, 20, 29, 57, 60, 67, 120

blind audition, 49

bonus, 78, 81–83

Bridgewater Associates, 100

bureaucratic organization, 1–2, 10–11, 121

chief executive officer (CEO), 10, 110–114, 121

favorite adage of, 15, 108

interview questions of, 52

chief financial officer (CFO), 109, 113

chief human resource officer (CHRO), 109, 111–115, 116t, 121

chief operating officer (COO), 111, 113–114

chief organizational effectiveness officer

(COEO), 112–113, 115

chief talent officer (CTO), 111–116, 116t

competitive advantage, 68

of organizations, 26, 36, 66, 108, 111–112, 114, 118

of talent, 11–12, 77

talent management systems as, 15, 23

CrossKnowledge, 65

data: -based decision making in organizations, 29–30

in organizational design, 109–110, 114–115

in performance management, 95, 100–102, 104–105

in selection process, 47–48, 50

in talent management, 28–30

Deutsche Bank, 48

digital assistant, 6

Ernst and Young, 48

evidence based principle, 3, 114, 120

organizational branding as, 43, 43t

organizational decision making as, 29–30

organizational design as, 116t

performance management data and evaluations as, 104–105, 104t

reward systems effectiveness decisions as, 84–85, 88t, 89

selection process, 58t

talent development as, 72t

talent management as, 27–31, 30t, 43–44

ExxonMobil, 34, 97

Facebook, 40, 54

face-to-face versus e-mail review, 102–103

FedEx, 3–4

forced distribution ratings approach, 97

forced ranking approach, 97–98

General Electric, 24, 34, 60, 67, 115

gig or short-term worker, 50, 67–68, 72–73, 78, 114

employer relationship of, 33, 41, 43t, 58, 62

performance pay for, 82–83

and short-term worker appraisals, 102

as talent access approach, 19

Glassdoor, 40, 71, 86

global business environment, 3, 12–13

continuous improvement need in, 5

financial capital availability in, 4

global sourcing in, 4

information technology in, 4

talent as global resource in, 4–5

Google, 4, 9, 29, 35–36, 77, 115

historic organization, 34–35

human resources (HR), 27, 40, 60, 63, 76, 121

administrative and strategic performance split in, 111

functions of, 1–3

in organizational design, 106–107, 112–117

percentage of time spent on roles of, 2t

performance management function of, 91–92

IBM, 24, 29, 34, 60, 67, 115

information technology industry, 3

change creation in, 5–6

digital assistants in, 6

employment relationships in, 6

in global business environment, 4

organization and talent management changes in, 120–121

for performance management, 94–95

workforce development in, 6

interview, 51–53

Jack in the Box, 113

“knowledge worker,” 6–7

LinkedIn, 40, 70

Lynda.com, 65

McDonald’s, 3

“merit” salary increase, 81

Microsoft, 4, 48

mobile app use, 48, 95

Monster, 40

Myers-Briggs Type Indicator, 51

Netflix, 24, 35, 40, 77

reward system example of, 80

talent development arrangement of, 63–64

nonemployee talent, 41–42, 82

onboarding process, 32, 46, 52, 54, 63–65

organization, 1

age diversity growth in, 7–8

agile talent management culture in, 25

alternative approaches to accessing talent in, 19–20

attraction and retention of high-performing individuals in, 22–23

bureaucratic use of talent in, 10–11

career approaches in, 24

competitive advantage of, 26, 36, 66, 108, 111–112, 114, 118

continuous change approach of, 9

current business and talent needs in, 24

evidence-and data-based decision making in, 29–30

gig and tour-of-duty, 67–68

global business environment of, 3–5

historic, 34–35

human-and machinecontrolled operations balance in, 6

information technology changes for, 120–121

“knowledge workers” in, 6–7

major challenge of talent-driven, 115

major changes in, 14t

social and environmental area performance of, 8

strategy development questions for, 18

sustainable corporate performance of, 9

talent as important asset and major expense in, 10

talent development difficulty in, 18–19

talent management as strategic advantage for, 25, 118, 120

talent management principles and practices adoption in, 120

traditional change model of, 9

treating people differently in, 27

triple-bottom-line standards in, 9, 16

organizational branding: agility issue in, 34, 43, 43t

business strategy in, 32, 37

communication in, 36–37

company website use in, 40

continued employment and fair treatment in, 34

employee financial incentives in, 40

employee skill needs in, 37

employment arrangement analysis in, 42

employment relationship in, 33, 37–38

as evidence based, 43, 43t

formal statement on treatment of nonemployees in, 41

historic organizations in, 34–35

inaccurate employer brand effects in, 33

management type in, 36

monitoring effectiveness in, 36, 39, 40–41, 43–44

multiple messages sending in, 35

nonemployee talent in, 41–42

performance focused, 43t

physical and social environment types in, 37–38

positive and negative work factors in, 38–39

realistic employer brand in, 33–34, 39, 41

realistic strategy-driven employment deals in, 35–36

right balance in, 38

segmentation in, 38, 43, 43t

skills based in, 43t

social and environmental performance in, 36

social media growth in, 39–40

social media recruiting teams in, 40

strategy development discussion on talent attraction in, 33

strategydriven, 32–37, 42, 43t

survey use in, 39

talent attraction relevance to, 42–44, 43t

what to cover in, 34

organizational design: agility in, 116, 116t

business strategy influenced by talent management in, 112, 114, 116

chief executive officers in, 10, 15, 52, 108, 110–114, 121

chief financial officer in, 109, 113

chief human resource officer in, 109, 111–115, 116t, 121

chief operating officer in, 111, 113–114

chief organizational effectiveness officer in, 112–113, 115

chief talent officer in, 111–116, 116t

classic “star” model of, 106, 107f, 121–122

corporate board problems and help need in, 108

data gathering and analyzing in, 114–115

evidence based, 116t

executive team reporting options in, 111, 113–114

executive team talent decisions in, 110–111

human resource function in, 106–107, 112–117

Jack in the Box example of, 113

performance based, 116, 116t

segmentation in, 116, 116t

skills-based orientation to, 116, 116t

split reporting relationships in, 113–114

as strategy-driven, 107, 112, 114, 116, 116t

system fit in, 106

talent analytics function in, 114–115

talent committee need and focus in, 110

talent data review in, 109–110

talent management expertise in, 108–109, 111–112, 114–116

talent management knowledgeable board members in, 109

talent strategically managed in, 107

“walking the walk” in, 110

“past behavior is best predictor of future behavior,” 47, 53, 57

Patagonia, 36

pay rate, public disclosure of, 85–88

pay secrecy, 85–87

performance-appraisal-free zone, 96

performance focused principle, 104t

organizational branding, 43t

organizational design, 116, 116t

reward systems, 80–81, 88–89, 88t

in selection process, 47–48, 58t

talent development, 72t

talent management, 21–23, 30t, 42–43

performance management, 30t, 120

agility in, 104t

behavioral activity data availability in, 101

Bridgewater Associates employee monitoring example in, 100

as calendar-driven event, 93

calibration group process in, 99

calibration method and meeting for, 98–99

corporate changes in, 90–91, 105

data- and evidence-based evaluations in, 104–105, 104t

data-driven discussions in, 102

executive-led, 91–93

face-to-face versus e-mail review in, 102–103

forced distribution ratings approach in, 97

forced ranking approach in, 97–98

gig and short-term worker appraisals in, 102

human resources function in, 91–92

information technology for, 94–95

Internet communication as data for, 95

manager support structure for, 94, 96

measurability in, 104

measured effectiveness in, 95–96

mobile apps use in, 95

as ongoing, 94

performanceappraisal-free zones in, 96

performance discussions and goal setting for, 94, 104t

phantom or secret ratings use in, 98

rate and rank alternatives in, 98

rating errors in, 96–97

ratingless appraisals in, 98

research evidence on, 91

scheduled performance appraisal process in, 93

segmentation in, 104t

senior management support of, 92–93

skills and performance as core of, 103–104, 104t

social media and crowdsourcing data use risk in, 100

social media caveat in, 100–101

sports data and technology in, 101–102

strategy execution in, 91, 103, 104t

survey use in, 95–96

talent behavior in, 99–100

“time span of discretion” in, 93–94

top-down commitment to, 92

traditional performance appraisals dislike in, 90

variety of practices in, 104

wearable technology use in, 101

Proctor & Gamble, 60, 76

public disclosure of pay rate, 85–88

reward system: adjustments in pay for, 80

agility in, 88t

attracting and retaining employees with, 84–85

basing pay on jobs problem in, 76

bonuses as, 78

budgeted or corporate performancefunded bonus plan in, 83

choice idea gone wrong in, 84

choice idea in, 83–84, 89

compensation predominant approach in, 75–76

design of, 75

evidence-based decisions on effectiveness of, 84–85, 88t, 89

high reward levels relative to market in, 79

kind and level of expertise pay in, 76

market and performance pay in, 83

“merit” salary increases in, 81

Netflix example of, 80

operational issues of skills-and knowledge-based systems in, 77–78

pay fairness in, 87

pay-for-skills option in, 78–79

paying above market issue in, 79–80

pay rates for, 76

pay secrecy in, 85–87

performance-based, 80–81, 88–89, 88t

performance-based bonus plans in, 81–82

Proctor & Gamble skills-based pay example in, 76

profit sharing and stock ownership plans in, 81

public disclosure of pay rates in, 85–88

segmentation in, 83–85, 88t

skills-and knowledge-based system in, 77, 88t

skills-based pay in, 76, 88

skills-based talent market in, 79

strategy driven, 88t

temporary or short-term employee

performance-based pay in, 82–83

turnover in, 88t

Sears, 34

segmentation principle, 107, 120–121

in organizational branding, 34–35, 38–39, 43, 43t

in organizational design, 116, 116t

in performance management, 104t

in reward systems, 83–85, 88t

in selection process, 56–58, 58t

in talent development, 62–63, 70, 72t, 73

in talent management, 26–27, 30t, 31, 43

selection process: ability and personality testing in, 50–51

accurate information in, 45–46

agility analysis in, 58, 58t

attraction process integrated with, 45

blind audition use in, 49

coworkers and peers decision making in, 55–56

data gathering process in, 48

evidence based, 58t

expectations in, 46–47

gig site use in, 50

interview flaws in, 51–52

interview validity in, 52

job simulation and video game use in, 49–50

multiple processes for, 46, 56–57

“past behavior is best predictor of future behavior” in, 47, 53, 57

performance data availability in, 47–48, 58t

research on, 47

segmentation in, 56–58, 58t

skills focus of, 46, 57, 58t

smartphone apps in, 48

social media relevance in, 54

strategy focus on, 57, 58t

structured interview importance for, 52–53

temporary work and internships in, 49–50

validation of, as continuing process in, 55, 58–59

validity of data in, 48, 50

work preview in, 53

work record in, 47–48

short-term worker. See gig or short-term worker

skills based principle: in organizational branding, 43t

organizational design orientation as, 116, 116t

performance management, 103–104, 104t

Proctor & Gamble pay example of, 76

in reward systems, 76–79, 88t

selection process focus on, 46, 57, 58t

talent development, 61, 72–73, 72t

talent management, 20–21, 30t

social media: in organizational branding, 39–40

in performance management, 100–101

in selection process, 54

“standardization and equal treatment approach,” 25–26

Starbucks, 3, 9, 36

“star” model, 106, 107f, 121–122

strategy-driven principle: in organizational branding, 32–37, 42, 43t

in organizational design, 107, 112, 114, 116, 116t

organizations, 18, 118

in performance management, 91, 103, 104t

rewards systems, 88t

on selection process, 57, 58t

talent development as, 61, 72–73, 72t

talent management as, 16–20, 17t, 22, 30t, 42, 112, 118

survey: organizational branding use of, 39

performance management use of, 95–96

in talent development, 70

talent, 71, 107

advanced technology dependent organizations use of, 11

agility in, 12

alternative approaches to accessing, 19–20

as asset and major expense in organizations, 10

attraction relevance to organizational branding, 42–44, 43t

availability of, 18

bureaucratic organizations use of, 10–11

career approaches to, 24

competitive advantage of, 11–12, 77

criticality of, 14

data review of, 109–110

as determinant of organizational effectiveness, 12

executive team decisions on, 110–111

as global resource in global business environment, 4–5

nonemployee, 41–42

organizational design analytics function of, 114–115

performance management behavior of, 99–100

retention of, 22–23, 25, 63–66, 68–70, 84–85

skills-based market in, 79

strategy development discussion on attraction of, 33

turnover costs regarding, 11–12, 27, 68–69

talent attraction. See organizational branding

talent development: agility in, 72t, 73

AT&T career model example in, 67

business strategy and skills in, 72–73

career models in, 66–67

changes in, 60

company development area versus labor

market in, 62, 66

effectiveness of, 73–74

employee development arrangements clarity in, 63

employment models and mix of, 61–62

as evidence based, 72t

gig and tour-of-duty organizations view of, 67–68

individual’s performance as base for, 65–66

Internet-based training and development programs for, 65

multiple talent models in, 62–63

Netflix talent arrangements example in, 63–64

onboarding success determinant in, 64–65

organizations difficulty in, 18–19

performance focused, 72t

public reporting practices in, 71–72

realistic job preview in, 64

retention message in, 64, 66

satisfaction factors in, 69

segmentation in, 62–63, 72t, 73

skill identification in, 61

skills-based, 61, 72–73, 72t

strategic analysis for, 61

as strategy driven, 72–73, 72t

supervisors regarding, 64

survey use in, 70

talent measurement systems in, 71

talent retention in, 68–70

talent treatment reporting in, 70–71

training time as lost production time in, 65

turnover issue in, 68–72

talent management: agility in, 23–25, 30, 30t, 43

attraction and retention of high-performing individuals in, 22–23

balancing retention and realistic promises in, 25

bureaucratic talent management systems in, 21

business strategy influenced by, 112

challenges in, 14–15

change in, 14, 122

chief executive officer-led change in, 121

as competitive advantage, 15, 23

cooperative and team behavior in, 22

diversity change in, 13

evidence based, 27–31, 30t, 43–44

five management areas of, 17f, 118

globalization change in, 12–13

information technology changes for, 120–121

job-based bureaucratic model of, 1–2

job-based versus skills-and-competencies based, 21

key practices in five management areas of, 119f, 120

major changes in, 14t

in organizational design, 108–109, 111–112, 114–116

as organizations strategic advantage, 25, 118, 120

performance focused, 21–23, 30t, 42–43

principles of and workplace changes in, 30–31, 30t

reasonable individualization in, 26–27

research and data analysis in, 28–29

segmentation and individualization approach to, 26–27, 30t, 31, 43

skills and competencies based, 20–21, 30t

“standardization and equal treatment approach” in, 25–26

strategic analysis of performance need in, 22

as strategy driven, 16–20, 17t, 30t, 42, 112, 118, 122

studies of, 29

sustainability in business models of, 13

talent attraction relevance to, 42–44

talent availability in, 18

talent criticality in, 14

technology change in, 13, 31

traditional bureaucratic organization negative impact of, 121

turnover in, 28

talent retention, 22–23, 25, 63–66, 68–70, 84–85

3M, 29, 34

“time span of discretion,” 93–94

tour-of-duty organization, 67–68

triple-bottom-line accountability, 9, 16

turnover, 36, 44–45, 55, 72t, 79, 86

early, 65

Google practices about, 115

high levels of, 25, 33, 39

in reward systems, 88t

talent cost regarding, 11–12, 27, 68–69

talent development issue with, 68–72

in talent management, 28

Uber, 68

Unilever, 9

UPS, 3–4

Upwork, 41–42

Upworth, 68

“walking the walk,” 110

wearable technology, 101

worker (workforce), 1, 6

age diversity of, 7–8

major changes in, 14t. See also gig or

short-term worker

work preview, 53, 64

work record, 47–48

Zappos, 36–37

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