Aerial Work Platforms (AWPs)

, 139

Anger

, 89

Apocalypse

, 153

ethics in 536 AD

, 156–157

life at bad moment

, 154–156

relevance

, 157–158

Apple

, 12, 25–26

Architects

, 120

Artificial intelligence (AI)

, 51–52, 56

regulation

, 56–57

scaling and

, 52

Artificial reality (A/R)

, 4, 57

Associative logic

, 26

Augmented reality

, 57

Baby Boomers

, 82

Bad boomers

, 86–87

Baker

, 11–12, 14

Bayer Pharmaceuticals

, 94–95

Beagles

, 78–79

Behaviors

, 67

“Birds Aren’t Real” movement

, 109

Blank

, 38

Boomer view

, 82–83

Boston Consulting Group (BCG)

, 56

Brand

, 40

British Society for the Protection of Mini Skirts

, 60–61

Broad trust

, 25–27

Bullying

, 14–15

Bullying Customers

, 145–149

Business-to-business software (B2B software)

, 70

Cambridge Utilitarian School

, 3

Cash

, 40

Change management

, 111–114

Cherry pickers (see Aerial Work Platforms (AWPs))

Chief Ethics Officer

, 140–141

Chief Executive Officers (CEOs)

, 124, 129

Chief financial officer (CFO)

, 151

Chief Trust Officer (see Chief Ethics Officer)

Christianity

, 37

CIA analysts

, 31

Citibank

, 88

Classical economics

, 84

Classical Greeks

, 91–92

COBOL

, 55–56

Colbert Report

, 109

Communications

, 72

Community

, 74

Company policy

, 130–135

examples vis-à-vis commercial policy

, 131–132

examples vis-à-vis employees’ policy

, 133–134

examples vis-à-vis partnerships policy

, 132

examples vis-à-vis shareholders policy

, 134–135

examples vis-à-vis suppliers policy

, 132–133

Compensation

, 84

Competitors

, 21

Consumers

, 31

Context

, 145–149

Contractors

, 18

Coppertone

, 17–18

Corporate managers

, 31

Cortisol

, 77

Cultural numbness

, 39

Cultural relativism

, 68

Customer decision-makers

, 27

Customer trust

, 24

Decisions

, 28

Defense strategy

, 105–111

Department of Justice (DOJ)

, 135

Developmental Psychology

, 54–55

Dialogs

, 116

Differentials

, 83

Discrimination not reflecting costs

, 145–149

“Dolphin-Safe” seal

, 122

Doom (video shooter game)

, 54

Draize Test

, 96

Drug cartels

, 94

Electric vehicles (EVs)

, 71–72

Embedding

, 145–149

agent

, 17

Entitlement

, 38–41

Ethical failures

, 145–149

Ethical permutations

, 5

Ethical practices

, 143–144

Ethical pricing

, 143–144

Ethical strategy

, 138–139

Ethical texts

, 5

Ethics(see also Generational ethics)

, 3, 6, 37, 61, 129, 143

in 536 AD

, 156–157

case examples

, 139–140

Chief Ethics Officer

, 140–141

company policy

, 130–135

of generational conflict

, 81

higher standards

, 144–149

implementation

, 150–151

of intergenerational conflict

, 4

M&As

, 129–130

and moral values

, 4

roles

, 135–136

schools

, 3

stupid discrimination

, 150

Evil

, 158

Exchange traded funds (ETFs)

, 88

Eye makeup

, 96

Facebook

, 59

Failure

, 45

Family farms

, 120–121

Fashion

, 60–62

Fear of innovation

, 51

Federal Communications Commission (FCC)

, 13

Financial advisors

, 88

Forest bathing

, 62

Frustration

, 45

Garden of Greed

, 14

General Electric Company (GE)

, 14–15

Generation Z

, 82

Generational conflict, ethics of

, 81

Generational ethics

, 81–82

bad boomers

, 86–87

boomer view

, 82–83

differentials

, 83

elderly

, 87–89

millennial economics

, 84–86

Generations

, 81

Gorilla

, 28

Gratitude

, 89

Greatest Generation

, 89

Greed

, 11, 18–20, 22, 38, 91, 101

causes

, 92–93

change management

, 111–114

countering unethical

, 114–117

dark shadows

, 94–95

defense strategy

, 105–111

evolution

, 11–12

fights back

, 103–105

growths

, 13–18

networks

, 102–103

and price structure

, 19–20

public examples

, 95–98

strategies

, 91–92

transaction terms

, 12–13

and trust

, 22

Groupthink

, 119–121

Habituation

, 98

Hallucinations

, 53–54

Harm

, 61, 121

Headhunters

, 17

Henderson Institute

, 56

Higher standards

, 144–149

Honors

, 4

Hooking

, 16

Hoppin’ World

, 63

Horizon Organic

, 120–121

Horizon Worlds

, 59–60

Human trafficking

, 94, 102

Humanity

, 79

Humans

, 79

Humor

, 109

IBM

, 70, 73–74

Incentives

, 112

Information technology (IT)

, 51–52

Intangibles

, 68–69

ethical context

, 67–69

ethical evaluation

, 72–73

ethical rights

, 73

ethical shifts

, 70–72

good and ethical

, 74–75

money

, 69–70

Interactions

, 59

Internet capacity

, 13

Invisible Gorilla Experiment

, 28

iPhones

, 12–13

ISIS

, 77–78

Justice

, 40

Justified neglect

, 39

Kant’s rule

, 61

Language

, 17–18

Law

, 6

Lies

, 40–41

Linkedin.com/pulse

, 103

Lobsters

, 77–78, 96

Lying

, 15–16

Machine learning

, 52–53

Map of Buyer Trust

, 30–31

Mergers and acquisitions (M&As)

, 129–130

Meta/Facebook

, 60

Metaverse

, 59–62

#MeToo movement

, 43

Microsoft

, 54

Millennials

, 82–83

economics

, 84–86

Misrepresentation

, 15–16, 145, 149

Money

, 69–70, 120

Money price

, 12–13

Moral values

, 4

Morals

, 6, 39–40

Multiple reinforcing strategies

, 105–106

Narcissism

, 39

Narrow trust

, 24–25

National Highway Traffic Safety Administration (NHTSA)

, 141

Nature

, 62–63

Net Present Value (NPV)

, 21, 136–137

Net Promoter Scores (NPSs)

, 143–144

Networks of greed

, 102–103

Newspapers

, 109–110

Noema

, 3, 7

Noema XIX

, 38

Omnipotence

, 39

Organization for Economic Cooperation and Development (OECD)

, 93–94

Physical assets

, 40

Piracy

, 68

ethical context

, 67–69

ethical evaluation

, 72–73

ethical rights

, 73

ethical shifts

, 70–72

good and ethical

, 74–75

money

, 69–70

Pork

, 96–97

Pornography

, 60–62

Preemptive ethics

, 21–22

Price

, 29

elements

, 29

structure

, 19–20

Productivity

, 84–85

Promotions

, 4

Proximie

, 63

Psychiatrists

, 98

Psychopaths

, 98

“Put option” approach

, 122

Quality of Service

, 145–149

Quibbles

, 5

Redi-Funds

, 88

Refinements

, 5

Religious communities

, 93–94

Research and development (R&D)

, 86

Resource dilemmas

, 40

Return on investment (ROI)

, 11

Risk of loss

, 15–16

Robbery

, 14–15

Robotics

, 53

Rules

, 6

Scaling

, 52

Schools of ethics

, 3

Seafood Inspection Program

, 122

Self-righteousness

, 44–47

Self-serving managers

, 104

Sellers

, 28–29

Services

, 71

Sex

, 61

Shapeshifters

ethical context

, 67–69

ethical evaluation

, 72–73

ethical rights

, 73

ethical shifts

, 70–72

good and ethical

, 74–75

money

, 69–70

Shining Path terrorists in Peru

, 77–78

Social license

, 56

Socratic beliefs

, 68

Software

, 71

Software as a service (SAAS)

, 71

Starbucks

, 109

Stock market manipulation

, 103

Strategic Ethical Pricing

, 144

Stupidity

, 110–111, 121, 124–125

Sunblock

, 17–18

Sunscreen

, 17–18

Suyin Electronics

, 25–26

Symbols

, 60–61

Tangibles

, 68–69

Technology

, 53

Theft

, 14–15

Time horizons

, 155

Top management

, 124–125

Top managers

, 125

Transparency

, 21–22

Trump Organization

, 14–15

Trust

, 22–23, 32, 35

bases

, 24–27

customer

, 23

limited information

, 28–31

types

, 27

Twitter

, 59

Unethical behaviors

, 37, 67, 121

Unethical initiatives

, 106–109

Unethical situations

, 37

Unethical strategies

, 5

Upper class

, 46

US Espionage Act

, 103

US telecom system

, 13

US White House computer system

, 101

Valuable music

, 68

Veal

, 96–97

Victims

, 5

Video games

, 54–55

Vigilance

, 107

Violated trust

, 24

Violence

, 61, 155

Virtual homicides

, 59–60

Virtual reality (VR)

, 61

antidote to

, 62–63

Virtual world

, 60

antidote to virtual reality

, 62–63

fashion and pornography

, 60–62

Visigoth rulers

, 155–156

Wealth

, 37

and entitlement

, 38–41

self-righteousness

, 44–47

unethical acts

, 41–42

women as victims

, 42–44

Withdrawal of utility

, 16

Women as victims

, 42–44

Yield Plus Select shares

, 15–16