Index
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Citation
(2020), "Index", Pantano, E. (Ed.) Retail Futures, Emerald Publishing Limited, Leeds, pp. 217-220. https://doi.org/10.1108/978-1-83867-663-620201024
Publisher
:Emerald Publishing Limited
Copyright © 2020 Emerald Publishing Limited
INDEX
Adaptable interfaces
, 16
AIDA model
, 30
Albert
, 173
Amazon
, 171–172, 181–182
Artificial general intelligence (AGI)
, 168–170, 177
Artificial intelligence (AI)
, 55–56, 137, 185–189
application
, 183–185
classification
, 183–185
consumer behaviour
, 171–172
customer service and payment management
, 172
customers’ prospecting and retention
, 172
delivery management
, 173–174
definition
, 183–185
dilemmas
, 185–189
effects
, 170
ethics
, 185–189
evolution
, 181–183
fall
, 181–182
history
, 181–183
inventory optimisation
, 173
layout management
, 174
logistics
, 173–174
media optimisation
, 173
patent applications
, 167
store cleaning
, 174
terminologies
, 168–170
transportation
, 173–174
working
, 167–170
Artificial narrow intelligence (ANI)
, 177
Artificial neural networks
, 170
Atmospherics
, 141
Augmented reality (AR)
, 37, 47–48, 59–60
Big data
, 190, 195
analytics
, 195–197, 203
Black Hat consultants
, 89–90
Blue Whale Challenge
, 118–119
Brand experience
, 134–135
Brand key performance indicators
, 106
Car-Finder service
, 45
Channel mix
, 103–104
Chatbots
, 72–78
emotional awareness capacity
, 79
Communication-related digital services
, 46–47
Consultative selling
, 5–6
Consumer behaviour
, 132–134
Consumer–consumer interactions
, 137
Consumer decision-making model
, 149–150
Consumers buying decision-making process
, 154–157
Cruzr
, 16–17
Customer engagement
, 72–78
Customer relationship management (CRM)
, 172
Customers’ resource life cycle
, 6, 11
Dartmouth Summer Research Project on AI (DSRPAI)
, 182
Deep learning
, 170
Defaming spam
, 89
Digital celebrities
, 119
Digital Mall
, 44
Digital marketing
, 115, 122
mix
, 39–40
Digital services
communication-related
, 46–47
entertainment-related
, 47–48
information-related
, 41–44
orientation-related
, 44–46
Digital signage (DS)
, 54
augmented/eroded shopping experiences
, 64–65
customer engagement
, 55
display blindness
, 55
innovative interaction modalities
, 56–60
in-store digital signage
, 54–55
intelligent digital signage
, 61–63
personalization–privacy paradox
, 63
retailer’s degrees of freedom
, 63–64
smart retail ecosystem
, 60–61
tech substitute/complement touch
, 64
Digital transformation
, 190
Display blindness
, 55
DS. See Digital signage (DS)
Easy Dining
, 41
Easy to Park service
, 45
Electronic word-of-mouth (eWOM)
, 141
Emotional awareness
, 78–79
importance
, 79–81
technical process
, 79
Emotional connection
, 73–78
Employee–consumer–consumer interactions
, 138
Employee–consumer interactions
, 137
Employee–consumer third party interactions
, 139
Entertainment-related digital services
, 47–48
Fake online reviews
causes of
, 89–90
consumer responses
, 90–92
contributors to
, 89–90
detection capabilities
, 92–93
inaction/doing nothing
, 91
intuitively/informally evaluating
, 91
multiple retail stakeholders
, 93
self-education
, 91
types and pervasiveness
, 87–89
Fakespot
, 91–92
Fear of missing out (FoMO)
, 118
General Data Protection Regulation (GDPR)
, 64
Generation Z
, 149, 151, 197
Google Gmail’s AI-powered filter
, 169
Grand models
, 149–150
Human intelligence
, 168
Humanized artificial intelligence
, 184
Humanoid service robots
, 16–17
Human–robot interaction (HRI)
, 15–16
Hype spam
, 89
Information-related digital services
, 41–44
Innovative interaction modalities
augmented reality (AR)
, 59–60
gestures and motion
, 59
touchscreen interactivity
, 56–57
voice-activated DS assistants
, 59
In-store digital signage
, 54–55
Interfaces
, 16
International Federation of Robotics
, 16
Internet addiction
, 123
Internet microcelebrities
, 119
Key online influencers (KOI)
, 141
Key performance indicators (KPIs)
brand
, 106
operational
, 106
per customer
, 106
LoweBot
, 16–17, 185–186
Machine learning
, 170
Metail
, 130
Microsoft’s Cortana
, 169
Model my Outfit
, 130
Narrow artificial intelligence
, 168–170
Natural language processing (NLP)
, 79, 166
Neural networks
, 170
Nonhumanoid service robots
, 30
Offline retailing
, 38
Omnichannel retail management
, 106–107
channel mix
, 103–104
customer journey
, 104–105
definition
, 101–102
drivers
, 102
interfunctional integration
, 102–103
key performance indicators (KPIs)
, 105–106
partial interfunctional integration
, 102
progressive interfunctional integration
, 102
value creation
, 98–100
Online celebrities
, 119
Online shopping behaviour, minors
, 122–123
academic perspective
, 121–122
physical benefits
, 115–116
physical harm
, 118–119
practical benefits
, 114–115
practical harm
, 117–118
psychological benefits
, 116–117
psychological harm
, 119–120
Operational key performance indicators
, 106
Organizational frontline
artificial intelligence-based interaction
, 76
customer (dis) engagement
, 77–78
emotional (dis) connection
, 77–78
human-based interaction
, 75–76
self-service technology
, 76–77
social pleasure
, 77–78
Orientation-related digital services
, 44–46
Personalization–privacy paradox
, 63
Polar Expedition
, 47
Privacy concerns
, 203
Privacy loss
, 203
big data analytics
, 197
consumers’ perceptions
, 197
Privacy paradox
, 203
Problem-solving selling
, 5–6
Product recommendation systems
, 58
QR code
, 45, 60
Quantum artificial intelligence
, 177
Radiofrequency identification (RFID)
, 60
RedBalloon
, 173
Reinforcement-learning algorithm
, 168–170
Retail agglomerations
, 37, 38–39
features
, 39
Retailing
, 7, 9–10
agents
, 136
artificial intelligence (AI)
, 170–174
chatbots
, 73–78
consumer–consumer interactions
, 137
customer engagement
, 73–78
digital age
, 38–40
digital marketing mix
, 39–40
emotional connection
, 73–78
employee–consumer interactions
, 137
employee–consumer–consumer interactions
, 138
employee–consumer third party
, 139
e-retailing
, 129, 140–141
fake online reviews
, 87–89
identity
, 136
interactions
, 136
retail agglomerations
, 38–39
scenarios and applications
, 137
service robots (SRs)
, 16–28
smart retailing
, 150–151
social elements
, 131
social norms
, 136
ReviewMeta
, 92
Sales decision support system
, 3–4, 6–7, 11
Sales process
, 5–6
Self-service technology (SST)
, 4–5, 11
definition
, 6–7
online settings
, 6–7
Selling
, 5–6, 11
SenseMi
, 130
Service robots (SRs)
, 18
customers’ behavior
, 15–16
definition
, 16
impact on customers
, 19–27
interviews
, 29
measures and findings
, 28–32
methodologies
, 28
observations
, 30–32
scope delineation
, 16
search strategy
, 18
self-reported survey data
, 29–30
tasks
, 28
usage and study setup
, 18–28
uses of
, 16–17
Smart consumers
, 149
definition
, 153–154
Smart retail ecosystem
radiofrequency identification (RFID)
, 60
smart devices
, 60
social media
, 61
Smart retailing
, 150–151
Social elements
consumer behaviour
, 132–134
retailing
, 131
technology
, 132
Social environment
, 198–199
Socialisation of the virtual fitting room (SVFR)
, 129–131, 136
Social media
, 61, 118, 132
Social pleasure
, 77–78
Social presence
, 133–134
Solution selling
, 5–6
SRs. See Service robots (SRs)
Store innovation
, 10
Store sales cycle model (SSCM)
, 4–5, 11
Strong artificial intelligence
, 168–170
System-based autonomous
, 16
Technology selection
, 4–5
Terminals
, 45
Thereviewindex
, 92
Three Laws of Robotics
, 182
Touchscreen interactivity
, 56
beer recommendation system
, 59
Carrefour
, 57
product recommendation systems
, 58
recipes
, 57, 58
Value co-creation
brand owners and manufacturers
, 87
consumers
, 86–87
retailers
, 87
third-party sellers
, 87
Virtual fitting room
, 134–135
socialisation
, 135
Virtual reality (VR)
, 37
Walmart
, 181–182, 184
Wi-Fi infinity
, 114, 117
- Prelims
- Section 1 Theoretical and Technological Background
- Chapter 1 How Innovative Technology Serves the Retailer: A Store Sales Cycle Model
- Chapter 2 The Rise of Service Robots in Retailing: Literature Review on Success Factors and Pitfalls
- Chapter 3 Technological Diversification in Retail Agglomerations: Case Studies Alongside the Digital Marketing Mix
- Section 2 Changes in Retail Management and Strategy
- Chapter 4 Digital Signage in the Store Atmosphere: Balancing Gains and Pains
- Chapter 5 Technology-infused Organizational Frontlines: When (Not) to Use Chatbots in Retailing to Promote Customer Engagement
- Chapter 6 Dealing with Fake Online Reviews in Retailing
- Chapter 7 Towards Omnichannel Retail Management: Evidences from Practice
- Section 3 Changes in Consumers' Experience, Behavior and Decision-making
- Chapter 8 Dancing to the Algorithm, a Discussion of the Online Shopping Behaviour of Minors
- Chapter 9 Transforming the e-retailing Experience: Towards a Framework for the Socialisation of the Virtual Fitting Room
- Chapter 10 Smart Consumers and Decision-making Process in the Smart Retailing Context through Generation Z Eyes
- Section 4 Future Challenges
- Chapter 11 The Dark Side of Artificial Intelligence in Retail Innovation
- Chapter 12 Retailing and the Ethical Challenges and Dilemmas Behind Artificial Intelligence
- Chapter 13 Do I Lose my Privacy for a Better Service? Investigating the Interplay between Big Data Analytics and Privacy Loss from Young Consumers' Perspective
- Acknowledgements
- About the Authors
- Index