Index

Retail Futures

ISBN: 978-1-83867-664-3, eISBN: 978-1-83867-663-6

Publication date: 7 October 2020

This content is currently only available as a PDF

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