Index

Aagaard, Claus, 190

absenteeism, 85

Accenture, 87–88

acceptance, 200–201

accountability

in AI-powered organizations, 164

for climate action, 191

collaboration and individual, 75–76, 80

for diversity and inclusion, 52

in flat organizations, 77

accounting, climate action and, 190–194

action authenticity, 92–93

Adams, Gary, 86

Adaviv, 102, 106

adhesive, cultural brokers as, 19, 20

Adnams, 190

advanced driver-assistance systems (ADAS), 99, 100

advocacy, 94–95

Afeyan, Noubar, 71

agriculture, 176, 178

AI academies, 161–163

AI-powered organizations, 149–166

accountability in, 164

barriers to building, 149–150

barriers to change, facing, 153–154

budgeting for integration and adoption in, 154–155

decision making in, 151–152

educating everyone in, 161–163

feasibility, time investment, and value in, 155

incentives for change to, 165

leadership in, 161–163

making the shift to, 150–152

organizing for scale, 156–161

oversight and execution in, 160–161

reinforcing the change to, 163–166

setting up for success, 152–155

tracking/facilitating adoption in, 164–165

ways to derail, 162

Alibaba, 107

Amazon

climate action at, 170–171, 183

culture at, 70

data-enabled learning at, 107

Fire Phone, 68

flag organization in, 77

hiring algorithm at, 129

individual accountability at, 76

Amazon rain forest, 179

Amazon Web Services, 76

ambiguity, comfort with, 67, 70–73

American Sustainable Business Council, 173

analytics translators, 154, 163

anticipatory grief, 200, 201–202

anxiety, 201–202

Apple

App Store, 107

China Clean Energy Fund, 177–178

leadership and innovation at, 78

Maps, 103, 104

MobileMe, 68

Music, 104

applicant-tracking software, 110

Atlassian, 184

AT&T, 43, 167

attention, to highest-priority interrupts, 13

authenticity

action, 92–93

climate action and, 174

gender identity and, 95

gender transitions and, 92–93

race and feelings of, 36–37

relational, 92–93

automatic execution strategy, 61–64

Baidu, 101

Bakker, Peter, 194

balance, 201

bathrooms, gender-neutral, 87

Beauty and Personal Care Sustainability Project, 179

Bell, Ella, 41

belonging, human need for, 87

Ben & Jerry’s, 181

Berinato, Scott, 199–203

Bezos, Jeff, 170–171

BHP, 174

biases

in hiring, 128

in interviewing, 121

minimizing in inquiry, 23

perceptions of excellence and, 4–6, 8–10

unconscious, promoting awareness of, 53

Bidwell, Matthew, 113

The Big Pivot (Winston), 172

Bing, 101

Black Employee Network, 46

#BlackLivesMatter, 43

BlackRock, 193

Bloomberg, 98

Blue Apron, 59–60

Bohmer, Richard, 73

boundaries, couple contracting and, 136, 137

Bowlby, John, 140

Boyatzis, Richard, 7

brain, learning and, 6–8

Brands for Good, 182

bridges, cultural brokers as, 19–20

Bridgewater Associates, 1

Brief, Arthur, 35

Britton, Joe, 173–174

Broomes, Anna-Maria, 36

Brother, 62

Brown, Michael, 40–41

Buckingham, Marcus, 1–15

Bureau of Labor Statistics, 112

Burger King, 188

Business Climate Leaders, 173

business models

AI-driven organizations and, 159

buy what we have, 56–58

climate action and, 168–169, 184, 188

continuous connection and, 56

curated offering, 56, 59–60

respond to desire, 56, 58–59

Business Roundtable, 169

buy-what-we-have model, 56–58, 65

campaign donations, 172–173

Cannon-Brookes, Mike, 184

capital expenditures, 185–186, 190–191

Cappelli, Peter, 109–130

carbon emissions, 167–168

reducing, 174, 176, 187, 188, 190–191

career development

dual-career couples and, 131–148

race and, 46–48

CareerXroads, 116

Carney, Mark, 167

Casciaro, Tiziana, 17–29

Castilla, Emilio, 116

Catmull, Ed, 75

Center for American Progress, 85

Ceres, 173

certified climate bonds, 194

CFO Leadership Network, 192

Chevron, 92

chief financial officers, 189–194

Children’s Minnesota, 25–26

China Clean Energy Fund, 177–178

Chrysler, 77–78

Chubb, 20–21

Cigna, 92

cisgender, 91

Citizens United Supreme Court case, 172–173

Civil Rights Act, 89

climate action, 167–198

benefits of, 169–172

climate change deniers and, 197

current climate policies and, 171

customers and, 180–183

employees in, 183–184

finance functions and, 185–187, 189–194

HBR series on, 170

heat waves and, 185

leveraging stakeholders for, 168–169, 177–184

next-gen, 188–189

policies to fight for, 176

political influence and, 168–169

rethinking the business and, 184–188

rising temperatures, flooding, and, 175

rising temperatures, food shortages, and, 178

rising temperatures, nature collapse, and, 181

rising temperatures, water uncertainty, and, 186

talking about the climate crisis and, 194–198

Climate Action 100+, 193

cloud technologies, 98

coach-behavior model, 26, 60–61, 63

Coca-Cola Hellenic Bottling Company, 190–191

Cohen, Paige, 49–54

cold-start problem, 106

collaboration

in AI-powered organizations, 150

balancing, 80

in climate action, 191–192

cross-silo leadership and, 17–29

horizontal vs. vertical, 17–18

individual accountability and, 75–76

inquiry and, 22–24

interdisciplinary, 150

at interfaces, 18

monitoring processes for, 24

college recruiting, 117

color blindness

racial, 43, 45

visual, 4–5

color-braveness, 43

comfort zones, moving out of for learning, 8

command-and-control economies, 175

communication

about the climate crisis, 194–198

about race, encouraging open, 41–44, 51–52

about trans-specific inclusion, 94–95

checking understanding in, 24

for climate action, 181–182

cross-silo dialogues, 25–26

of expectations for leaders, 52

psychological safety, candidness, and, 73–75

commuter marriages, 146–147

commuting distance, 129

competitive advantage, data and, 97–107

Conference Board Annual Survey, 110–111

conformity, 36–37

confrontation, 74–75

connected strategies, 55–66

automatic execution of, 61–64

buy what we have, 56–58

coaching behavior model in, 26, 60–61, 63

coaching behavior for, 60–61

curated offerings, 56, 59–60

repeat in, 64–66

respond to desire, 56, 58–59

selecting, 63

connection, continuous, 55–66

consensus, 75

contact hypothesis, 93–94

control, letting go of, 202

Cook, Scott, 106

couple contracting, 136–137

Couples That Work (Petriglieri), 133

Covid-19, 199–203

creativity

different points of view and, 25–26

oxytocin in, 13–14

Creativity, Inc. (Catmull), 75

Crispin, Gerry, 116

crop-management systems, 102, 106

cross-silo leadership, 17–29

asking the right questions and, 21–24

breaking down silos and, 28–29

broadening employees’ vision and, 26–28

considering other perspectives in, 24–26, 29

cultural brokers and, 18–21

cultural brokers, 18–21, 29

culture

changing, 50–51, 153–154

of competence, 69–70

difficulty in changing, 67–68

for diversity and inclusion, 49–54

hiring interviews for fit with, 121–122

individual accountability and, 75–76

innovative, 67–80

leading change in, 78–80

psychological safety, candor, and, 73–75

racial justice and, 32–33

willingness to experiment in, 67, 70–73

curated-offering model, 56, 59–60, 63

curiosity, hiring for, 26

customer journey, 57–58, 64–66

customers

in buy-what-we-have model, 56–58

climate action and, 180–183

in cross-silo dialogues, 25–26

curated offerings to, 56, 59–60

deep understanding of, 60–61

leveraging in climate action, 168–169

product improvement and, 104

in respond-to-desire model, 56, 58–59

Daimler, 187

Dallas Cowboys, 10–11

Danish Oil & Natural Gas, 188

Danone, 190, 191

data

building moats with data-enabled learning, 99–105

competitive advantage from, 97–107

continuous connection and, 60–61

digital exhaust, 98, 110

from experimentation, 72

imitating product improvements based on, 103–104

network effects from, 104, 105–107

product improvement and, 104

proprietary, 102–103

rapid learning cycles with, 105

relevance of user, 101–102

Davidson, Martin, 43

decision making, 80

in AI-powered organizations, 151–152, 166

money-based in dual-career couples, 135–139

defending behaviors, 94–95

Delaware State University, 46

Deloitte Canada, 22

demographics, 33–35

Dick’s Sporting Goods, 41

digital exhaust, 98, 110

discipline, willingness to experiment and, 67, 70–73

discrimination

costs of, 83–86

frequency of, 84–85

hiring and, 114

disease-prediction systems, 101

Disney World, 55, 62, 64, 65, 187

diversity and inclusion (D&I)

accountability for, 52

in AI-powered organizations, 150

bathroom access and, 87

business case vs. moral case for, 32, 38–41

day-to-day work of, 49–54

different points of view and collaboration, 24–26, 29

evaluating success of, 53

hiring for, 114

illusion of, 34

for leadership positions, 47–48, 49–50

progress/lack of progress in, 53–54

pushback against, 39

racially just workplaces and, 31–54

referrals for hiring and, 116

revamping, 44–46

trans-, 81–96

trans-specific training for, 93–94

diversity fatigue, 36

double-primary couples model, 138

Dougherty, Deborah, 24

Dragon solutions, 102–103

dress codes, 87–88

DSM, 174

dual-career couples, 131–148

challenges facing, 132–133

contracting for, 136–137

loss and opportunity in, 142–145

money-based decision making by, 135–139

reinventing themselves, 139–142

transition points in, 133

working as a couple, 134–139

Ecobee, 101

Edmondson, Amy C., 17–29, 73

education and training

about climate change, 196

of African-Americans, 34

for AI-powered organizations, 161–163

antibias and cultural competence, 44

in the art of inquiry, 22–24

in communication, 24

data-enabled, 97–98

for open conversations about race, 42–43, 51–52

race, workplace experiences and, 37, 46

trans-specific, 93–94

Eisenhower (Perret), 75

Eisenhower, Dwight D., 74–75

empathy, 26

ENEL, 187

engagement, employee

discrimination and, 85

diversity, inclusion, and, 53

entrepreneurs, black, 38–39

Epic Games, 102

Ernst & Young, 42

eTeki, 120

ethics

climate action and, 169–171

racial justice and, 31–33

social media monitoring and, 113–114, 128

trans-inclusive workplaces and, 82

evaluations

of AI-powered changes, 164

biases in rating others and, 4–6, 8–10

in hiring interviews and, 125–127

of hiring success, 110, 117, 130

Evolv, 122

excellence

describing, 12

failure and, 9–10

as an outcome, 10–12

theory of, 2–3, 8–10

execution teams, 160–161, 162

Executive Leadership Council, 48

experimentation

in AI-driven organizations, 152, 164

cultural willingness for, 67, 70–73

disciplined, 79

innovation and, 79

expertise, exploring external, 27–28, 29

Facebook, 106, 107

failure

excellence and, 9–10

finding causes of, 70

focused event analysis of, 25–26

learning from, 69, 152

safe space for African-Americans to experience, 47

tolerance for in innovative cultures, 67, 68–70, 80

fall-detection sensors, 62

family life, dual-career couples and, 131–148

FarmVille, 101–102

FBI, 40

fear

climate change and, 195

couple contracting and, 136, 137–139

feedback

to African-Americans, 47, 51

definition of, 2

fallacies around, 1–15

focus on what vs. why in, 14

helping people excel with, 10–14

how we learn and, 2, 6–8

instruction vs., 1–2

language for, 11

perceptions of excellence and, 4–6, 8–10

present, past, and future exploration in, 13–14

psychological safety and, 47, 73–75

receiving, 4

in repeat stage of connection strategies, 64–65

self-centered basis of, 2–3

theory of the source of truth and, 2, 4–6

Fiat, 77–78

fight or flight response, 7

financial markets, climate change and, 193–194

Financial Stability Board, 192–193

financial tools, green, 190–191

Finding Meaning: The Sixth Stage of Grief (Kessler), 199

Fink, Larry, 193

Flagship Pioneering, 71–73

Flexner, Abraham, 27–28

focused event analysis (FEA), 25–26

Forum for the Future, 179

fossil fuels, divesting from, 182

Fountaine, Tim, 149–166

Fraser, Kathryn, 44

Freitag, 180

Gabarro, John, 35

Gardner, Heidi, 17

Gavett, Gretchen, 49–54, 194–198

gender

as learned behavior, 82–83

socialization of, 82–83

gender expression, 91

gender fluid, 91

gender identity

definition of, 91

glossary of terms related to, 91

laws relating to, 85–86, 89

trans-inclusive workplaces, 81–96

genderqueer, 91

gender transitions, 89–93

General Mills, 177

Gibassier, Delphine, 189–194

Gino, Francesca, 21

glass cliff assignments, 36

Glassdoor, 120

Goldman Sachs, 89, 122–127

Goodall, Ashley, 1–15

Google, 101, 170

flag organization in, 77

gender transition support at, 92

Glass, 68

Maps, 103–104, 106

Search, 106

Great Recession, 113, 122–123

green bonds, 187, 193–194

Gregersen, Hal, 22

grief, 199–203

growth, assumptions about, 184

growth mindset

in African-Americans, 32

cultural brokers and, 20

GSK, 177

Haigu, Andrei, 97–107

hate crimes, 40

Hayhoe, Katharine, 194–198

heat waves, 185

Hewlett Packard Enterprise, 177

hiring, 109–130

black talent, 50

cost of, 111, 113–114, 117

for cross-silo collaboration, 26

for culture fit, 121–122

for culture of competence, 69–70

data science in, 127–130

for diversity, 114

diversity in, 35–36

dual-career couples and, 145–148

focus on passive candidates in, 115–116

at Goldman Sachs, 122–127

interviewing process in, 120–121, 123–125

limiting applicants in, 117–119

machine learning models and, 121–122

measuring results of, 110, 117, 130

from outside vs. within, 111–114

outsourcing of, 110, 120, 127–130

posting phantom jobs and, 114–115

process for, 114–122

realistic job design and, 115

referrals for, 116

skills testing for, 119–120

social media monitoring and, 113–114, 128

traditional approach to, 109

trans-inclusive, 82, 85–86

H&M, 177

Hobson, Mellody, 43

Hoffman, Mitchell, 119

Holmes, Dane E., 122–127

Honeywell, 101

Hoyt, Chris, 116

HP, 62

HR departments, 44–46

HRExaminer, 120

hub-and-spoke organization, 156–160

Human Rights Campaign, 85, 86

Humble Inquiry (Schein), 22–23

humility, 22–23, 164

hurdle rates, 185–187

identity

climate change denial and, 197

in dual-career couple reinvention, 141–142

gender, 85–86, 89, 91

work as a source of, 132

IDEO, 27

idiosyncratic rater effect, 4

“IFRS Standards and Climate-Related Disclosures,” 193

IKEA, 172, 177–178, 182

incentives

for change, 165

climate action and, 183

income, race and, 39–40

incompetence, no tolerance for, 67, 68–70, 80

individuation, 139–142

influencemap.org, 174

Ingersoll Rand, 179

initiatives, employee diversity for, 26–27

innovation

cultures supporting, 67–80

flag structure, strong leadership, and, 77–78

individual accountability and, 75–76

joint, climate action and, 179

leading cultural change for, 78–80

psychological safety, candidness, and, 73–75

technical, in AI-driven organizations, 159–160

test-and-learn mentality for, 152

tolerance for failure, not incompetence, and, 67, 68–70

willingness to experiment and, 67, 70–73

Instacart, 59–60

Institute of Management Accountants, 192

instruction, feedback vs., 1–2

Interface, 180

Intergovernmental Panel on Climate Change, 188

internal job boards, 112–113

International Accounting Standards Board, 193

internet of things, 62

Interpublic Group, 43

interviews, 120–121

asynchronous video, 123–125

investments, rethinking for climate action, 184–187, 193–194

James, Erika Hayes, 36

Jang, Sujin, 17–29

Jassy, Andy, 76

J.M. Huber, 185–186

job analysis, 109, 115

job evaluation, 109

Jobs, Steve, 78

JobTestPrep, 120

Jobvite, 113

John, Daymond, 39

Johnson, Robert, 38–39

Johnson, Sheila, 38–39

Johnson & Johnson, 76

JPMorgan Chase, 46

Kaepernick, Colin, 41

Kahn, Lisa B., 119

Kaiser Permanente, 43, 183

Kaplan, Sarah, 39

Keller, J.R., 113

Kellogg, 177

Kessler, David, 199–203

key performance indicators, 183

killer experiments, 72

King, Mervyn, 192

knowledge domains, exploring, 27–28

Know Us, 43

Korn Ferry, 110, 147

Kraay, Norma, 22

Kübler-Ross, Elisabeth, 199, 202

Kuncel, Nathan, 119–120

Landry, Tom, 10–11

leaders and leadership

accountability of, 76

in AI-powered organizations, 161–163

attention to highest-priority interrupt by, 13

cross-silo, 17–29

in culture change, 51

decision making and, 151–152

in flat organizations, 77–78

hiring concerns of, 110–111

idiosyncrasies in excellent, 9

for innovative culture, 77–80

inquiry encouraged by, 22–24

in open conversations about race, 42–43

openness to criticism and, 74–75

racial diversity and, 33–49

spousal support for women in, 147

talking about climate change, 195–198

leadership development

for cultural brokers, 20–21

race and, 45

learning

the art of inquiry, 22–24

cross-silo collaboration and, 18

data-enabled, 97–107

from failure, 69

feedback and, 2

how we do it, 2, 6–8

instruction and, 1–2

rapid learning cycles with data, 105

repeat dimension of connected strategies and, 64–66

theories of, 2

LeDoux, Joseph, 7

LendingPoint, 105

LendUp, 105

Level Playing Field Institute, 85

Levi Strauss, 183

LexisNexis, 98

LGBTQ+ people, 81

gender transition support for, 89–93

glossary of terms related to, 91

roots of stigma/discrimination and, 82–86

Li, Danielle, 119

LinkedIn, 110, 112, 113, 116

Lloyds Bank, 120

lobbying, 173–174

LobbyWatch, 174

loss, sense of in dual-career couples, 142–145

Lush, 183

LVMH, 187

Lyft, 58, 183

machine learning, 121–122, 127–130

Maese, Ellyn, 37

Manulife, 192

Maranto, Cheryl, 86

Marchionne, Sergio, 77–78

Marriott, 118

Mars, 190

Martinez, Larry, 92–93

matrix organizations, 21

Mayo, Anthony J., 31–54

McCarthy, Brian, 149–166

McCluney, Courtney, 36, 44

McDonald’s, 188

McEvily, Bill, 21

McFeely, Shane, 37

McGraw-Hill Education, 56, 64, 65

meaning, as sixth stage of grief, 202

mentors and mentoring, 46–47

microaggressions, 35

Microsoft, 101, 170, 187, 191

midlife crises, 139–142

mindfulness, 95

Mobileye, 99, 100

modeling

AI transformations, 163–164

inquiry, 22

open conversations about race, 42–43

modesty, false, 22

Moët Hennessy España, 19–20

morality, racial justice and, 32–33

Morgan Stanley, 43

multinationals, 173

Mumenthaler, Christian, 167

Music Genome Project, 103

My Marriott Hotel, 118

name usage, 88–89

Nest, 101

Nestlé, 187

Nestlé Waters, 182

Netflix, 1, 64, 65

network effects, 97–98, 104, 105–107

networks, scanning external for cross-silo collaboration, 27–28, 29

Net Zero Asset Owner Alliance, 193

New Songdo, South Korea, 24–25

New York Times, 39–40, 70

Nike, 41, 56, 65

coach-behavior strategies at, 61

Nkomo, Stella, 41

Nohria, Nitin, 38

Nuance, 102–103

Oatly, 181

Obama, Barack, 41–42, 48

On Grief and Grieving (Kübler-Ross and Kessler), 199

Oracle, 191

organizational structure

for AI-powered organizations, 156–160, 166

breaking down silos in, 28–29

cross-silo leadership and, 17–29

flat, strong leadership for, 77–78

hub-and-spoke, 156–160

innovative cultures and, 77–78

matrix, 21

removing silos in, 18

for scale in AI-driven organizations, 156–161

The Organization Man (Whyte), 109

Ørsted, 188, 191

outcomes, excellence as, 10–12

Out & Equal, 86

oversight, 160–161

oxytocin, 13–14

Palmeiro, Laura, 189–194

pandemic, 199–203

Pandora, 103, 104

parasympathetic nervous system, 7–8

Paris Climate Accords, 173, 182, 194

Partnership, The, 37, 48

Patagonia, 41, 172, 180

PepsiCo, 182

performance

culture of competence and, 69–70

feedback based on faulty beliefs about, 2–3

humans’ unreliable rating of, 4–6, 8–10

as individual vs. universal, 4–6, 8–10

of outside hires vs. promotions from within, 113

Perret, Geoffrey, 75

perspectives

AI-powered organizations and, 150

cross-silo collaboration and, 24–26, 29

Petriglieri, Jennifer, 131–148

Pew Research, 132

Pfizer, 46

P&G, 177, 179, 182

Philips Lighting, 188

Pisano, Gary P., 67–80

Pixar, 68, 75

policies and procedures, trans-inclusive, 82, 86–93

political influence, 168–169, 172–176

praise, 12

primary-secondary couples model, 138

privacy, 61–62

social media monitoring and, 113–114, 128

problem solving, humility in, 22–23

Project Propel, 46

promotions

competence/incompetence and, 69–70

diversity in, 35–36, 47–48

from within vs. hiring from outside, 111–114

pronoun usage, 88–89

psychological safety

dual-couple reinvention and, 140–142

innovative culture and, 73–75

stigma, discrimination, and, 47, 83–85

Purdie-Greenaway, Valerie, 43

purpose, climate action and, 183–184

PwC, 43, 94, 110–111

questions and questioning

for cross-silo collaboration, 21–24

in cross-silo leadership, 29

in hiring interviews, 125–127

Rabelo, Verónica, 44

race and ethnicity

business case vs. moral case around, 32, 38–41

career development and, 46–48

demographics and, 33–35

encouraging open conversations about, 41–44, 51–52

leading change and, 38–48

political participation and, 35

racially just workplaces and, 31–54

revamping D&I programs and, 44–46

underrepresentation and lack of support for, 33–35

work experiences and, 35–38

RaceTogether, 40–41

racism, 35–36, 40–41

random error, 4

R&D, 187

RDMD, 101

realism, 22

recruiting funnels, 109

recruiting processes, 122–127

recycling, 180

referrals, 116

Reid, Susan, 43

relational authenticity, 92–93

relationships

cross-silo collaboration and, 18

gender transitions and, 93

prioritizing, 17–18

stakeholder, leveraging, 177–184

Religious Freedom Restoration Act of 1993, 89

renewable energy, 168, 174

resilience, 95

climate change and, 168, 176

cultural brokers and, 20

of data network effects, 107

respond-to-desire model, 56, 58–59, 63

rest and digest system, 7–8, 13

résumé-reading algorithms, 127

retention, 112–113

retirement, dual-couple reinvention and, 142–145

return on investment, 185

reverse discrimination, 42

risk, rethinking, 184–187

risk aversion, 152

Rivera, Lauren, 121

Roberts, Laura Morgan, 31–54

Rockefeller Foundation, 121

Rosette, Ashleigh, 36

Roth, Michael, 43

Ruggs, Enrica, 86, 92–93

Ryan, Tim, 43

safety, loss of, 200

Saleh, Tamim, 149–166

Samuels, Karen, 44

SAP, 46

Saveurs et Vie, 191

savior mentality, 95

Sawyer, Katina B., 81–96

Schein, Edgar, 22–23

Schneider, Mark, 187

Schneider Electric, 177

SC Johnson, 182

search engines, 101

secure base, 140–142

Seinfeld, Jerry, 8

self-centeredness, feedback based on, 3

Seventh Generation, 182

Sexuality Research and Social Policy, 87

Shandwick, Weber, 38

shareholder profits, 169

Siemens, 174

Siggelkow, Nicolaj, 55–66

siloed organizations

AI-powered organizations vs., 150, 153

breaking down silos and, 28–29

cross-silo leadership and, 17–29

Silverman, Sarah, 8

Singleton, Laura, 38

Sirius XM, 104

1619 Project, 39–40

skills testing, 119–120, 122

skunk works, 79–80

slavery, 39–40

smart televisions, 100

smart thermostats, 101

Smith, Nicholas, 92–93

social capital, 50

social games, 101–102

social media

data-enabled learning in, 106, 107

hiring and, 110, 113

Society for Human Resource Management, 86, 111

Southwest Airlines, 26, 183

sponsors, 47

Spotify, 104

SSE, 190, 192

stakeholder relationships, 177–184

Starbucks, 40–41

Stephenson, Randall, 43

Stevenson, Jane, 145–148

Stoffels, Paul, 76

strengths

feedback on weaknesses and, 7–8

humility, 22–23

learning based on, 6–8

success, racial justice and, 31

Sumser, John, 120

Supercell, 102

suppliers, 177–180

leveraging in climate action, 168–169

support

asymmetric, 141–142

in dual-career couples, 141–142, 144–145

for gender transitions, 89–93

for racial diversity, 33–35

for trans people, 86–95

suspension of disbelief, 140

sustainability, 170, 183, 189–194

Sustainable Brands, 182

Sustainable Development Goals, 187

Swiss Re, 167

sympathetic nervous system, 7

systematic error, 4

Target, 179

Task Force on Climate-related Financial Disclosures, 176, 192–193

teams and teamwork

diversity in cross-functional, 26–27

horizontal vs. vertical, 17–18

technology

budgeting for, 154–155

building AI-powered organizations, 149–166

continuous connection and, 55–66

data, competitive advantages, and, 97–107

hiring vendors and, 120

pace and level of innovation required in, 159–160

value or proprietary data and, 102–103

TEDWomen, 194

Terwiesch, Christian, 55–66

test-and-learn mentality, 152

Texas Instruments, 119

theory of excellence, 2–3

theory of the source of truth, 2, 4–6

Thomas, David A., 35

Thomas, Kecia, 46

Thomas-Hunt, Melissa, 49–54

Thomson Reuters, 98

Thoroughgood, Christian N., 81–96

Thorpe-Moscon, Jennifer, 36

360º Corporation, 39

Time to Vote, 183

Toigo Foundation, 34, 35, 45, 48

total quality management, 45

Toyota, 177

trans, definition of, 91

transgender, 91

Transgender Law Center, 86

trans-inclusive workplaces, 81–96

bathroom access in, 87

building resiliency in, 95–96

dress codes in, 87–88

gender transition support in, 89–93

laws relating to, 85–86, 89

policies for, 87–95

pronoun and name usage in, 88–89

roots of stigma, discrimination and, 82–86

skills for champions in, 94–95

support in, 86–94

transitioning, gender, 89–93

transparency

climate action and, 174, 175, 176, 192–193

innovative cultures and, 79

radical, 1, 12

trust

automatic execution and, 61–62

dual-career couple reinvention and, 140–141

truth

feelings/experiences as source of, 5–6

theory of the source of, 2, 4–6

turn taking couples model, 138

Tyson, Bernard, 43

Uber, 58

uncertainty, comfort with, 67, 70–73

Unilever, 177, 179, 183, 192

“United for the Paris Agreement,” 173

United Nations

Global Compact, 190

Net Zero Asset Owner Alliance, 193

Sustainable Development Goals, 187

U.S. Chamber of Commerce, 174

Uzzi, Brian, 25

value, data-enabled learning and, 99–100

VF Corporation, 179

video interviews, 123–125

Visa, 182

vision, 152–153

Walker, Madam C. J., 38

Wall Street Journal, 1

Walmart, 177, 179, 183

Wanous, John, 118

Washington, Ella, 37

water uncertainty, 186

weaknesses, feedback on, 7–8

“We Are Still In,” 173

Webster, Jennica R., 81–96

Welsh, Hugh, 174

Whyte, William H., 109

Winston, Andrew, 167–198

Wolfe, Claudine, 20–21

women

African-American, 46

dual-career couples and, 131–148

Wooten, Lynn Perry, 35

World Business Council for Sustainable Development, 194

World War II, 74–75

Wright, Julian, 97–107

Youth Climate Movement, 182

Zhang, Evelyn, 21

Zynga, 101–102

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