The New Technology Elite: How Great Companies Optimize Both Technology Consumption and Production

Index

Aberdeen Group, 321

Accelerance, 144–145

Accenture, 185

Acton, James, 295

Addiction, digital, 309–310

Adobe, 120, 169–170

Africa, 276–277

The Age of the Platform (Simon), 75

A.I.G., 293

Aircell, 46

Air France 447 crash, 295

Airlines, 46–47. See also specific airline

Amazon.com, 31, 81, 86–87, 114–116, 159, 168–169, 175–176, 183–184, 317–318

Kindle, 6–7, 28, 93, 174, 244–246

Lab126, 93

Shareholder 2010 letter (case study), 323–326

Amazon Web Services, 273

AMBER Alerts, 12

Ambidextrous technology executives, needs for, 77–78

American Hospital Supply, 331

Analytics-driven business models, 181–182

Anderson, Scott, 317–318

Andreessen-Horowitz, 260

Andreessen, Marc, 260

Android, 113–114, 121, 179, 212, 242

Appirio, 117

Apple, 5–6, 25–27, 31, 41–43, 57–58, 76, 82, 117, 145, 173–174, 176–178, 183–184, 212–213, 217–218

case study, 163–171

as category killer, 199–200

“conflict minerals” report, 277

Corporate Social Responsibility Report, 274–275

executives, valuable, 99–100

renewal, 45–46

Supplier Responsibility Program Report, 274

App stores, 112, 117–118

“Arab Spring,” 62

“Area 51,” 215–217

Armistead, Bill, 250

Armstrong, Lance, 261

Arthur Andersen, 185

AS/400, 112

AT&T, 4, 160, 177, 184, 202, 212

Attorneys, influence on technology, 225–239

Auby, Karen, 108

Automation, 143

Avenue100, 88

Bailey, Don, 215

Baker Tilly, 79–80, 101

Ball, Lucille, 96

Ballmer, Steve, 121

Barnes, David, 19, 20

Barnes & Noble Nook, 93, 100, 213, 244

Barra, Hugo, 113

Bayes Theorem, 47–48

Beavers, Robyn,