Abercombie, C., 106
acquisition, knowledge, 12–13, 15
acquisition/retention, health care, 96
Adams, R.J., 93
Africa, marketing and sales, 109–112
AI-based decision-making systems
marketing and sales, 107–108
Africa, 109–112
ASEAN, 108–109
algorithms, 24
Amazon, 27, 45, 49
Amico, R., 28
Andreeva, T., 26
Anklam, P., 10
anomaly-based fuzzy intrusion detection system, 53
Apple, 33
application programming interfaces (APIs), 95
Arkin, R., 74
artificial intelligence (AI)
advantages, 6
business operations, 118–119
contemporary, 3–4
ethics, evolution of, 69–77
growth of, 1
and health care, 94–96
impromptu rise, 2–3
integration, 15–16
KMS and, 16–18
marketing and sales (see AI-based decision-making systems)
and marketing logistics, 88
and organizational implications, 119–120
rapid rise, 1–2
relative mass flourishing and firm performance, 33
selective rise, 2
and SHRM, 37–39, 40
strategy, 120–123
assessments, SHRM, 37–38
Association Of Southeast Asian Nations (ASEAN), marketing and sales, 108–109
automated speech recognition (ASR), 94
automation, 24
Avata Intelligence, 54
Barney, J., 33
Barton, D., 27
beacons, 85
Becker, B.E., 39
big data, 24, 27, 52, 80, 90
biometrics, 13
Brynjolfsson, E., 24, 34
Brynjolfsson, T.H., 27
business operations, 118–119
capitalism, history of, 24
case-based reasoning (CBR), 14, 15–16
Center for Disease Control and Prevention, 97–98
CEO’s attention, 29–30, 34
channel B2B, smart marketing logistics framework, 90
channel B2C, smart marketing logistics framework, 90
Chieh-Heng, K., 108
chronic disease management, 98–99
chronic obstructive pulmonary disease (COPD), case management, 100
cobots (cooperative robots), 13–14
cognitive IoT, smart marketing logistics framework, 90
cognitive transformation, 43
Collier, M., 98
competitive advantage, HR departments, 44–45
complex algorithms, 24
conducting experiment, perspective of change, 31
congestive heart failure (CHF), case management, 100
contemporary artificial intelligence (AI), 3–4
conversational interfaces, 80
cooperative robots (cobots), 13–14
corporate knowledge, 12
cost reduction, health care, 97–98
customer service in health care, 93–94
acquisition/retention, 96
case management, 100–101
chronic diseases, 98–99
cost reduction, 97–98
insurance plan, 96–97
OTC drug, 102–103
patient portals, 101
primary care, 101–102
technology, 94–96
cybersecurity
Amazon and Netflix, 49
benefits for, 53
big data, 52
holistic approach, 54–56
information systems security, 47, 50
machine learning technology, 53–54
risk assessment, 51, 52
risk control/risk treatment, 51
risk identification, 51
U.S. companies, cyber-attack, 48–49
Darktrace pairs behavioral analytics, 54
data interchange, payments and, 83–84
data mining, 63
Davenport, T.H., 27
decision-making systems. See AI-based decision-making systems
design experiment, perspective of change, 30–31
development, HR practice, 44
development, knowledge, 13, 15
dialog (question-graph), 16
Dick, P.K., 70
digitalization, 25
digital technology, 79, 82–83
Digital Video Recorder (DVR), 97
dot.com, 82
drones, 80, 86
dynamic capability, 26–27
e-commerce, 52, 82
electronic data interchange (EDI), 83
electronic medical record (EMR) system, 96
employer-match options, 97
engagement platforms, 80
E8 Security, 54
ethics, evolution of, 69–77
ethics, HR practice, 44
evaluation/learning, perspective of change, 31
evaluation/measurement of knowledge, 15
everyone-to-everyone (E2E) economy, 105
Exabeam, 55
experimentation, 25
experiment, perspective of change, 30–31
external factors, 118–119
Ezry, R., 106
Farmerline (Ghana), marketing and sales, 110, 111
financial services industry, 63–64
Finjan’s online security innovation, 54
firm performance, relative mass flourishing and, 33
five-P model of human resources, 39
fixing of knowledge, 14
Fortscale’s user and entity behavior analytics (UEBA) solution,
55
F-Secure-managed incident response service, 54
F-Secure’s endpoint products, 54
F-Secure’s vulnerability management product flags, 54
Fu, R., 98
Garvey, P.R., 51
Goehring, B., 106
Google, 27, 45
GPS, 84–85
graphs, 16
Gupta, A., 100–101
Hanson, D., 70
Harvest, 55
health care, customer service in, 93–94
acquisition/retention, 96
case management, 100–101
chronic diseases, 98–99
cost reduction, 97–98
insurance plan, 96–97
OTC drug, 102–103
patient portals, 101
primary care, 101–102
technology, 94–96
Health Savings Account (HAS), 97
history of capitalism, 24
holistic AI strategy, 119
human-machine interaction, 64–65
human-machine scenarios, 43
human race, 23–24
human resources management, 39–42
human resources practice, 42–43
development, 44
ethics, 44
human-machine scenarios, 43
performance expectations and incentines, 43
transformation plan, 43
Huselid, M.A., 39
hypothesis, perspective of change, 30
identification of knowledge, 12, 15
impromptu rise, artificial intelligence (AI), 2–3
incentive systems, performance expectations and, 43
information, 82
information systems security, 47, 50
information technology, 12
innovation, 25, 59
innovation management
definition, 60
human-machine interaction, 64–65
machine learning, 63–64
managing and balancing, 60–62
insurance plan, health care, 96–97
intelligent virtual characters, 94
Internet, 82–83, 122
Internet of things (IoT), 52, 80, 86–87
Iuga, A.O., 102–103
JASK, 56
Jumia and Mall for Africa (Nigeria), marketing and sales, 110,
111
KMS. See knowledge management system (KMS)
knowledge management system (KMS), 9–10
acquisition, 12–13
and AI, 16–18
CBR process, 15–16
definition, 11
development, 13
evaluation/measurement of, 15
identification, 12
neural networks, 16
objectives, 11–12
preservation and fixing, 14
representation, 16
sharing, 13–14
similarity, 16
stages of, 10–11
utilization of, 14
Kolbjørnsrud, V., 28
layered genetic algorithm-based intrusion detection system,
53
Lean Capability (dynamic capability), 26–27
Lean Startup movement, 26
leverage contingencies, perspective of change, 32
Lin, P., 75
Little Cab (Kenya), marketing and sales, 110, 111
Little Ride, 110
logistics, 81. See aslo marketing logistics
LogRhythm, 54
machine-human plans, 43
machine learning, 53–54, 80, 87
benefits of, 63
data mining, 63
definition of, 60
financial services industry, 63–64
smart marketing logistics framework, 90
management team, 118
marketers, 79–80
marketing and sales, 107–108
Africa, 109–112
ASEAN, 108–109
marketing, definition of, 81
marketing logistics, 81–82
and AI, 88
beacons, 85
digital technology, 82–83
drones and self-driving delivery vehicles, 86
framework, 89–91
future of, 88–89
GPS, 84–85
IoT, 86–87
machine learning, 87
mixed reality, 85–86
payments and data interchange, 83–84
RFID, 84
Marshall, A., 106
McAfee, A., 27
McGuire, M.J., 102–103
McKinsey Global Institute (MGI), 106
m-commerce, 52
medical-grade sensors, 99
Mehr, H., 122–123
metrics, perspective of change, 31
M-Farm (Kenya), marketing and sales, 110, 111
mixed reality, 85–86
M-Pesa and Pesapal (Kenya), marketing and sales, 110, 111
M-Shwari, 110
Nakayoma, H., 106
National Institute of Standards and Technology’s (NIST) National Vulnerability Database (NVD), 47
natural language processing (NLP), 94
Netflix, 49
network intrusion detection model, 53
neural networks, 16
objectives, knowledge, 11–12
observing, perspective of change, 30
OLX (South Africa), marketing and sales, 110, 111
online retailers, 63
online shopping, 112
organizational attributes, 118
organizational implications, 119–120
organization influencer, 118
Orwell, G., 80
over-the-counter (OTC) drug interaction, 102–103
patient portals, 101
Patil, D.J., 27
payments and data interchange, 83–84
performance expectations and incentive systems, 43
perspective of change
big data, 27
CEO’s attention, 29–30
conducting experiment, 31
design experiment, 30–31
evaluation/learning, 31
hypothesis, 30
leverage contingencies, 32
metrics, 31
observing, 30
pivot, 32
real option reasoning, 29, 31–32
relative mass flourishing, 28, 29
transformation, 28
Pesapal, 110
Phelps, E.S., 24, 32
pivot, perspective of change, 32
policy implications, 34
Porter, M.E., 33
preservation, knowledge, 14
primary care, 101–102
proximity marketing, smart marketing logistics framework, 90
race, 23–24
radical innovation, 61
radio-frequency identification (RFID), 84
rapid rise, artificial intelligence (AI), 1–2
real option reasoning, 29, 31–32
real option theory (ROT), 27
relative mass flourishing, 28, 29, 32
and firm performance, 33
remote patient monitoring, 101
Ries, E., 31, 32
risk assessment, 51, 52
risk control/risk treatment, 51
risk identification, 51
risk management process, cybersecurity, 50–51
RiskSense, 54
Ritala, P., 26
SADAL framework, 40–41
Safaricom, 110, 112
SAP HANA solution, 12
Schildt, H., 24
Schuler, R.S., 39
Security Information and Event Management (SIEM), 56
selective rise, artificial intelligence (AI), 2
self-driving delivery vehicles, drones and, 86
Selma, D., 53
sharing, knowledge, 13–14, 15
SHRM. See strategic human resource management (SHRM)
Sift Science, 54
similarity, identifying, 16
simulation, 25
smart logistics and marketing ecosystem, 80, 88–89
smart marketing logistics framework, 89
components of, 90
smartphones, 79–80, 102
SMSGH and Esoko (Ghana), marketing and sales, 110, 111
software program, 41
stages of KMS, 10–11
Status Today, 55
strategic human resource management (SHRM)
and AI, 38–39
assessments, 37–38
competitive advantage, 44–45
HR management, 39–42
HR practice, 42–43
development, 44
ethics, 44
human-machine scenarios, 43
performance expectations and incentines, 43
transformation plan, 43
strategic planning, 120–123
strategic transformation plan, 43
Summer, J., 44
Tantium, 54
technology, health care, 94–96
techonomy, 105
Teece, D.J., 33
Te, F., 108
text-to-speech (TTS) engines, 94
Thomas, R.J., 28
3D hologram, 86
transformation, 25–26, 28
transformation, cognitive, 43
Tsai-Fong, T., 108
Uber, 110
Ushahidi, 110
utilization of knowledge, 14
virtual custom assistants (VCA), 93
Watson’s solutions, 13
Yin, L., 98
Zebra and Jozibear (South Africa), marketing and sales, 110, 111