Index

Page references followed by f indicate an illustrated figure; those followed by t indicate a table.

A

  • Accenture, 113
  • Affirmative Conversations, 35, 40–42
  • AI (Appreciative Inquiry)
    • conversation benefits of, 2–11, 16–19, 23–24, 95, 149–150
    • 5-D Cycle methodology of, 110, 114–133, 133t
    • getting started with, 150–152
    • See also Conversations Worth Having
  • AI-based conversations
    • examples and outcomes of, 4–6, 13–23, 36, 145–146, 153–155
    • generative questions practice, 62–76, 88–89, 138, 140
    • positive framing practice, 62, 76–89, 121–122, 140–141, 143
    • See also conversations
  • AI interview questions, 122–123, 123t
  • “ain’t it awful?” conversations, 159
  • AI principles
  • Alisha’s story, 13–19, 61–62, 71, 92, 94–96, 110
  • Ally’s story, 9–10, 160–163
  • Amari, Kamal, 19–23, 36, 62, 76, 146
  • Anticipatory Principle, 92–93, 94, 95, 101t, 106–108, 111t, 157
  • ANZ Bank of Australia, 114
  • Apple, 8
  • appreciation/appreciative capacity, 8, 104–105, 138, 163
  • appreciative conversations, 31–34, 31f, 33f, 52f, 53–54

B

  • Becky’s story, 56
  • beliefs, 136–137, 141–142
  • Bibb County School District (Georgia), 114
  • Bob and Mia’s story, 65–66
  • body-mindset, 49–57
  • brain/brain chemistry, 135–143

C

  • change
    • conversations to create, 3, 13–24, 92–111, 111t
    • creating macro-movement for positive, 96
    • inquiry and generative questions for, 62–76, 68, 138, 140, 163
  • Clarke Group, 114
  • Cleveland Clinic, 114
  • Coca-Cola, 8
  • Colleen and Trevor’s story, 74, 76
  • Community One Bank story, 19–23, 36
  • complexity science, 8–9
  • Constructionist Principle, 92, 95, 97–100, 101t, 111t, 156
  • conversations
    • AI principles driving your, 91–111, 111t
    • combining AI with the art of, 7–11, 23–24
    • inquiry-based-statement-based dimension, 31f, 34–37
    • research findings on, 135–147
    • resting body-mindset beneath our, 49–57
    • types of, 31–35, 31f, 35–47, 52f, 53–54, 68–71, 113–133, 133t, 137–138
  • Conversations Worth Having
    • description of, 35, 37–40, 57–58, 58f
    • science and key learnings on, 135–147, 158–164
    • See also AI-based conversations
  • conversation tool kit, 159
  • Cooperrider, David L., 1–11, 16, 91, 140, 158
  • Critical Conversations, 35, 42–45

D

  • Daniel’s story, 104–105, 110, 141, 142
  • Deckard, Jenniffer, 114
  • depreciative conversations, 31–34, 31f, 52–53, 52f, 62–76, 137–138, 140
  • Destructive Conversations, 35, 45–47
  • Drucker, Peter, 7
  • drug bust police training, 136–137, 138

E

  • 80/20 rule, 135–136, 146
  • emotions, 52–54, 52f, 136–138, 143–146, 146
  • Erich’s story, 115–132
  • ER Right-Care, Right-Place plan, 18

F

G

  • Gabriela’s story, 68–69, 70–71, 102–103, 110, 142
  • generative questions, 62–76, 138, 140
  • George and Alexa’s story, 84, 85–87
  • Goldberg, Marilee, 29
  • Google, 113
  • Gottman, John, 145, 146
  • gratitude, 138
  • Great Recession (2008), 23
  • Green Mountain Coffee Roasters, 8, 114
  • Greider, William, 61

H

  • Heaphy, Emily, 144–145, 145t, 146
  • HeartMath Institute, 137–138
  • Hock, Dee, 1–4
  • Huberman’s body-mindset exercise, 55

I

  • inquiry-based conversations, 31f, 34–37

J

  • Jack’s story, 108–109, 110
  • Jake’s story, 50, 51, 52, 53
  • Jamal’s story, 97–100, 101t–102t, 142
  • Johnson & Johnson, 8
  • Jung, C. G., 52

K

  • Kleinbaum, Nancy H., 135
  • Krupp, Gerard, 114–115, 131–132

L

  • Lambert, Linda, 13
  • leadership/leaders, 3, 6–7, 113
  • listening, 57–58, 58f
  • Losada, Marcial, 144–145, 145t, 146
  • Los Angeles Police Department Drug Task Force, 136–137, 138

M

  • macro-movements, 96
  • Mark and Melissa’s story, 77, 79–80, 81–82, 87
  • mental models, 100
  • micro-moments, 96, 144
  • Monica and Aiden’s story, 69–70

N

  • Name It step (flipping/renaming), 84, 85, 86, 121
  • neuroscience research, 136–139, 139f
  • Nutrimental, 114

O

  • organizational culture and climate, 122
  • organizational team performance, 144–146

P

  • Patel, Alisha, 13–19, 61–62
  • patient satisfaction story, 13–19
  • Paul’s story, 10, 37–38
  • Peale, Norman Vincent, 142–143
  • PERMA metrics, 146
  • Placebo Effect, 141, 142
  • Poetic Principle, 92, 94, 95, 101t, 103–105, 111t, 156–157
  • positive framing, 62, 76–88, 121–122, 140–141, 143
  • positive image/positive action research, 135, 138–143
  • Positive Principle, 93, 94, 95–96, 102t, 108–110, 111t, 140, 157
  • positive psychology, 143–146
  • Positivity (Frederickson), 144
  • Pygmalion Effect, 141–142

R

S

  • Save the Children, 66–67
  • self-awareness, 49–57
  • Seligman, Martin, 145–146
  • Simultaneity Principle, 92, 94, 96, 102–103, 102t, 111t, 156
  • Slack, 37
  • statement-based conversations, 31f, 34–37
  • Stavros, Jackie, 2, 10
  • Sternin, Jerry, 66–68
  • Summers, Ms., 97, 98, 100, 101t–102t

T

  • Tannen, Deborah, 91
  • team performance research, 144–146
  • Technology Center’s 5-D Cycle case study, 115–133, 133t
  • threat perception, 137–138
  • Timmy’s story, 50–51, 52, 53
  • Timothy’s story, 136
  • Torres, Cheri, 2, 10
  • tuning in, 25–26, 25f, 54–57

U

  • United Nations, 8
  • United Nations Global Compact, 114
  • United Way of America, 114
  • US Navy, 8, 114

V

  • Verizon, 8, 114
  • Visa Inc., 2–6
  • visualization, 140
  • Vitamix, 8

W

  • Wellington, Mary, 19–23, 62, 76
  • “What Good Are Positive Emotions” (Fredrickson), 143–144
  • Wittit, Ms., 97, 98, 100, 101t–102t, 110, 142
  • World Vision, 114

Z

  • Ziglar, Zig, 142–143
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