Access subscriptions

, 116

Agile approach

, 4–6

Amazon’s AI-supported supply chain

, 114–115

Anxiety

, 34–35

Artificial intelligence (AI)

, 98–99, 109–111

Augmented Reality enabled try-on

, 68

Behavioural actions to regain control

, 17–18

Behavioural targeting

, 112–113

‘Behind the Drive’ technology-enriched customer solution

, 78–79

Big Data

, 109, 111

Bullwhip-effect

, 113–114

Business analysis

, 87

Business model innovation (BMI)

, 108–109

Closed-Loop Model

, 115

Clothing

, 19–20

Comfort-ability

, 45–46

Compact-ability

, 45–46

Computer sciences

, 68–69

Consumer behaviour

, 13–15, 18, 21

consumer behavioural data

, 111

Consumer experience (CX)

, 65

Consumer(s)

choice of shopping centres

, 95–98

environmental factors impacting on consumers’ fear of contagion and death

, 31–34

interaction with technology

, 82–83

needs

, 83

uncertainty

, 29–31

Consumers’ perceived store density

, 46–47

new tools to manage

, 47–51

Contamination fear in social interactions in physical environments

, 32–34

Coping

mechanisms

, 13–14, 20

strategy of revenge buying

, 19

Cosmetic surgery

, 18

COVID-19

, 1–2, 60

COVID-19-lockdown

, 18

infection

, 17–18

pandemic

, 5–7, 13–14, 19, 82–83, 107–108

‘COVID-proof’ shopping

, 66

COVID-safe

, 58

Crowding

, 46–47

Crowdless app

, 81–82

Curation subscriptions

, 116

Customer experience (CX)

, 108

balancing relevance and privacy

, 111–113

gathering and leveraging information for enhanced

, 109–113

new metrics and business models for competitiveness

, 109–111

Demand shocks

, 17

Deprivation of sensory input

, 66

Destin-ability

, 45–46

Digital Business Transformation (DBT)

, 109

Digital channels

, 2–3

Digital shopping

, 57–60

Digital technologies

, 68, 109

Digital transformation

, 63–64

Digitalization

, 111

Disease-avoidance system

, 32–33

Disposal behaviour

, 21

Doing-it-yourself products

, 17–18

E-commerce

, 58

Emotional reactance response

, 15

Etsy

, 63–64

European Space Agency (ESA)

, 81–82

European Union (EU)

, 57–58

Evolutionary psychology

, 14–15

Experiential value online

, 66

Facebook shops

, 67

Fear

, 32, 34–35

Fitness apparel

, 17–18

Hedonic shoppers

, 58

Hedonic value online

, 66

Honeypot effect

, 46–47

Human crowding

, 46–47

Human retail density

, 43–46

Human-computer interaction (HCI)

, 68–69

ICONSIAM in Bangkok

, 95–96

Image interactivity

, 68

Impulsive buying

, 13–17

In-store social density

, 46

Infodemic

, 31–32

Local products and brands

, 20

Lockdowns

, 1–3

Mark and Spenser Food (M&S Food)

, 4–5

Market acceptance testing

, 87–88

Materialism

, 18

Mobile channel

, 65–66

Mobile commerce (M-commerce)

, 59

Mobile personal consumer devices

, 65–66

Mobile shopping

, 59–60

Modern shopping centres

, 97–98, 101

Mortality salience

, 31–32

Multi-actor multi-criterion method

, 86

Multisensory environments

, 4–5

Natural language processing (NLP)

, 110

New normal

, 4–6

New Order’, The system

, 65–66

New retail business models, phygitalization in

, 107–109

Nicholsons Maidenhead Shopping centre

, 94–95

Non-customer-facing AI applications

, 114

Nostalgic products

, 18

Obsessive compulsory disorders symptoms (OCD)

, 32

Online shopping

, 57–59

Online transition of retail businesses

differences across retail formats and sectors

, 60–62

lessons learned

, 64

successes and failures in

, 60–64

third-party services in going online

, 62–64

Panic buying

, 13–17

Phygitalization

future directions for phygitalizing retail value delivery network

, 113–117

mobile channel

, 65–66

in new retail business models

, 107–109

suggestions for phygitalization of retailing

, 65–69

Webshop

, 66–69

wheel of retailing

, 69

Physical shopping

, 57–60

Platforms

, 63

Pre-COVID-19 pandemic studies

, 78

Predictive analytics

, 114

Privacy calculus theory

, 112

Prosperity

, 18

Psychological reactance theory

, 15

Reactance Theory

, 19

Replenishment subscriptions

, 116

Retail

apocalypse

, 93–94

business models

, 5–6

differences across retail formats and sectors

, 60–62

disinvestment in shopping centres

, 95

landscape during pandemic

, 1–3

metrics and analytics

, 111

technology during/post-COVID-19

, 80–83

technology pre-COVID-19

, 77–80

Retailers

, 3, 6, 8, 51, 60, 78–79

guidelines and support for

, 4–6

recommendations for

, 7

Retailing

, 60, 93–94

Revenge buying

, 18–19

Revenge shopping

, 18–19

Risk

aversion

, 30–31

perceptions

, 29–31

Second-hand and recycling stores

, 21

Self-disclosure

, 21

Sensory-enabling technologies (SETS)

, 68–69

Sharing economy

, 20–21

Shop windows

, 65–66

Shopify

, 63–64

Shopping anxiety

, 35

consumers’ sense

, 34–35

consumers’ uncertainty and risk perceptions

, 29–31

environmental factors impacting on consumers’ fear of contagion and death

, 31–34

Shopping centres

, 93–95

attribute

, 95

consumers’ choice

, 95–98

experience

, 96–97

image

, 95

updated set of consumer choice attributes for modern shopping centres

, 98–101

Shopping experience. See also Customer experience (CX)

, 1–2, 44, 50–51

Short-chain organic farming and food

, 19–20

Small and medium-sized enterprises (SMEs)

, 62–63

Smart demand forecasting

, 113–115

Social approval

, 34–35

Social commerce

, 62–63

Social proof signal

, 15

Spatial crowding

, 44, 46–47

Store layout

, 50–51

Subscription-based online services

, 115–117

Supply chain disruptions

, 17

Sustainable consumption

, 20

Technology

, 8

adoption

, 88

business analysis

, 87

development

, 87

implementation process

, 84, 88

initial development and testing

, 86

market acceptance testing

, 87–88

need recognition

, 85

screening

, 85–86

Terror management theory

, 34

Third-party services in going online

, 62–64

3D virtual online fitting rooms

, 68

Traditional retail business models

, 5–6

Uncertainty avoidance

, 29–31

Unpackaged fruit and vegetables

, 20–21

Utilitarian shopping value

, 66

Virtual Reality

, 67

Virtual worlds

, 67

Visit-ability

, 45–46

Walk-ability

, 45–46

Webshop

, 66–69

Window shopping

, 65–66

World Health Organization (WHO)

, 1–2, 31–32