Index
ISBN: 978-1-78756-340-7, eISBN: 978-1-78756-339-1
ISSN: 1548-6435
Publication date: 19 September 2019
This content is currently only available as a PDF
Citation
(2019), "Index", Marketing in a Digital World (Review of Marketing Research, Vol. 16), Emerald Publishing Limited, Leeds, pp. 209-217. https://doi.org/10.1108/S1548-643520190000016022
Publisher
:Emerald Publishing Limited
Copyright © 2019 Emerald Publishing Limited
INDEX
A/B testing
, 71–72
Ability
, 150
Academic marketers
, 92–93
Academic researchers
, 128
Adverse technology–consumer interaction (ATCI)
, 123–126
examples
, 126
pathways of technology optimism and
, 124
response rates declining to customer surveys
, 128–132
significance
, 127–128
Agency
, 92
AirBnB
, 88–89
Alexa
, 86–87
Alibaba
, 88–89
Alphabet (Google)
, 51
AlphaGo Zero program
, 22–23
Amazon
, 2–3, 36, 51, 88–89, 93
current business model
, 3–4
reviews
, 47
Amazon Alexa app
, 108
Amazon Echo
, 86, 92–93, 108
Amazon Go
, 6–7
Amazon.com
, 182
American Association for Public Opinion Research (AAPOR)
, 129
Antecedents of perceived deception
, 148–154
elaboration ability
, 151–154
elaboration motivation
, 150–151
initial expectations
, 148–150
Anthropomorphism
, 93
AOL
, 3–4
Apple
, 51, 88–89, 106–107
Apple Watch
, 17
Apps
, 107–108
age
, 105–106
App Store
, 108
AR in
, 105
monetization
, 105–107
retailers
, 106–107
Argument quality
, 154–155
ARPANET
, 36
Artificial intelligence (AI)
, 4, 15, 92, 109–110, 113
competency
, 123
programs
, 22–23
Augmented reality (AR)
, 107, 112
in apps
, 105
AR View
, 107
Autonomous cars
, 108
Autonomy software
, 91–92
“Autopilot” technologies
, 6
Aversion to cashless payment transactions
, 126
B2B platform
, 51
Banner advertising
, 57
Biased search & analysis
, 68–69
Big Data
, 8–9, 38–41, 63–64, 70
A/B testing
, 71–72
benefits in marketing management
, 65–66
blindness to and falsification of hypotheses
, 72–73
combining Big Data with lean start-up methodology
, 77–79
communication
, 70
confidence
, 70–71
confirmation
, 68–69
control
, 69–70
deceived by Big Data
, 66–71
hubris
, 67–68
mitigating learning challenges of
, 71–76
and privacy
, 45–46
regularly updating analyses to reveal shifts and trends
, 73
statistical literacy and risk intelligence
, 76
3Vs of
, 69
transparent presentation of statistical insights
, 74–76
Bionic eye
, 25
Bitcoin
, 91–92
Black Swans event
, 69
Blind spots
, 127
Blockchains
, 91–92
Blurring (see Line tightening)
Brick and mortar
, 52–56
Build-measure-learn loop
, 64, 78
Business model evolution
, 64
Buyer inputs, Internet on
, 44–45
Buyer search
, 44–45
California consumer privacy act (2018)
, 107–108
Central routes of persuasion
, 154–158
Channel contracting
, 180
Chi-square analysis
, 176
Cloud-based services
, 22–23
CMO Survey
, 65
Co-locational targeting
, 101
Code
, 86
Cognitive dissonance theory (CDT)
, 146
Commercial 3D printers
, 171
Commercialization
, 36
Communication
, 16–17
of Big Data
, 74
networks
, 36–37
Commuters
, 101
Company strategy, research on
, 92–93
Competitive locational targeting
, 101
Complexity of market
, 88–90
Computer-aided design program (CAD program)
, 170
Computer-mediated environments
, 2
Computer numeric control (CNC) machines
, 179
Computers
, 18
Confirmation, control, communication, and confidence (4Cs)
, 67
lean start-up methodology and
, 77–79
Connected knowledge economy
, 3–4
“Connecting” concept
, 25
Consumer reactance to frequent price changes
, 126, 132–136
ATCI
, 133–135
reasons for
, 133
research opportunities
, 135–136
Consumer Reports
, 47
Consumer-to-consumer interactions
, 4
Consumer-to-firm interactions (C2B interactions)
, 4
Consumer(s)
, 1–2, 8
data
, 123
decision process
, 37
perception of non-deception
, 144
research on consumer behavior
, 93
role of
, 179–180
Consumers’ Perceptions Ethics of Online Retailers (CPEOR)
, 144
Content
, 48–49
Contextual targeting
, 101
Conventional econometric model
, 39–40
Coping with digital
, 5–8
Copy machine
, 17
Creations
, 175, 176, 181–182
Criticality
, 161
Customers
, 101
facing technology
, 86–87
relationship management
, 180
Cybersecurity
, 1–2, 5, 6
Data
data-sensitive age
, 115
privacy
, 107–108
Data-based learning
benefiting from Big Data in marketing management
, 65–66
combining Big Data with lean start-up methodology
, 77–79
mitigating learning challenges of Big Data
, 71–76
Decentralized autonomous organizations (DAOs)
, 93
Deception
, 143–144
online
, 144
perception of
, 146
Decision-making
, 63–64, 77
Deep learning
, 23–24
Desktop 3D printers
, 168, 170, 172
Digital
attributes
, 44, 52–53
cameras
, 5
connectivity capabilities
, 17
innovations
, 1–2, 4
machine communication
, 22
manufacturing tools
, 168
marketplace
, 19
revolution
, 2
technologies
, 1, 5
transformation
, 1–2, 4–5
world
, 1
Digital, social media and mobile (DSMM)
, 4
Digital Age
, 14
digital dyads in marketplace
, 20–29
information in
, 19–20
Digital dyads in marketplace of Digital Age
, 20–29
human–human digital dyad
, 26–29
human–machine digital dyad
, 24–26
machine–machine digital dyad
, 21–24
Digital innovations on marketing and consumers
Big Data and privacy
, 45–46
buyer search
, 44–45
impact on seller inputs
, 38–41
impact on seller outputs
, 41–43
innovations relating to interactive marketing
, 36
Internet on retail markets
, 52–56
platforms
, 51–52
structure of online interactions between seller, platform and buyer
, 38
topics for further research
, 39
use of online devices
, 37
user generated content
, 46–51
Digitalization
, 1–2
blindsided by digital
, 3–5
in blink of eye
, 2–9
coping with digital
, 5–8
marketing in digital world
, 8–9
Digitization
, 5
Direct-to-customer model
, 115
Disconfirming analysis
, 72–73
Disembodied software
, 93
“Driver assist”
, 6
DuploBrio adapter
, 183–184
E-commerce
, 2
sales
, 52–53
e-Trade
, 3–4
East Asian strategy game “Go”
, 22–23
eBay
, 38, 51, 88, 104
Economic institutions, nature of
, 180–181
Education
, 1–2
Elaboration
ability
, 151–154
motivation
, 150–151
Elaboration Likelihood Model (ELM)
, 145–146
Electronic word-of-mouth (eWOM)
, 27–28, 164
Employment
, 1–2
Enlightenment
, 14–15
Enterprising retailers
, 184
Entrepreneurs
, 1, 78
Environmental context
, 41–42
Esthetic idealism
, 14–15
Ethical ideology
, 146, 148
Ethical orientations
, 149
European Union (EU)
, 45
Executive leadership
, 26
Expertise
, 151
Experts
, 152
Exploitation
, 23–24
Exploration
, 23–24
exploration-based algorithms
, 23–24
Eye-tracking technology
, 102
FabStores
, 174
Facebook
, 2–3, 18–19, 23, 28, 51, 88–89
Fair value line
, 73
Fake or cursory responses to online surveys
, 126
Familiarity
, 151
Firm-to-consumer interactions (B2C interactions)
, 4
Firm-to-firm (B2B interactions)
, 4
Fitbit (smart watches)
, 108
Fitness trackers
, 99
Flattening (see Line steepening)
Follow-up actions
, 164
Forecasting model
, 39–40
Fourth Industrial Revolution
, 15–16
Fraudulent negative review
, 126
Fused-deposition modeling
, 170
General Data Protection Regulation (GDPR)
, 46, 107–108
General skepticism
, 146, 148, 149–150
Geoconquesting
, 101
Ghost Ads
, 71–72
Google
, 2–3, 15–16, 36, 51, 88–89, 106–107
search engine
, 51–52
Google Assistant
, 86–87
Google Play
, 108
Google Sketchup
, 170
Gothic cathedrals
, 14–15
GPS navigation
, 2–3
Hash
, 91–92
Hedonic purchase
, 161
Hilton hotels
, 93, 115
Hosts value exchange
, 88–89
Human behavior
, 8
Human computers
, 22–23
Human–human connectivity
, 14
Human–human digital dyad
, 26–29
Human–human social communication
, 27
Human–machine communication
, 25
Human–machine connectivity
, 14
Human–machine digital dyad
, 24–26
Idealism
, 148–149
IKEA
, 107
Illinois MakerLab
, 184
In-app advertisements (IAA)
, 103, 106–107
In-app purchases (IAP)
, 106–107
In-vitro fertilization
, 72
Independent companies
, 163
Industrial Revolution
, 14–15
Information (see also Artificial intelligence (AI))
in Digital Age
, 19–20
evolution
, 18
in marketplace
, 17–19
products
, 87
technology
, 16–17, 86–87
Informative advertising
, 42
Initial expectations
, 146, 148–150
Innovative firms
, 72–73
Instagram
, 18–19
Intelligence
, 90–91
Internet
, 2, 17, 36
advertising
, 41
algorithms
, 23
expertise
, 153, 154
on retail markets
, 52–56
Internet of Services (IoS)
, 109
Internet of Things (IoT)
, 2–3, 98, 109, 113
Internet on buyer inputs
, 44–45
Big Data and privacy
, 45–46
buyer search
, 44–45
user generated content
, 46–51
Involvement
, 151
iPhone (Apple)
, 2–3, 15–16, 17
Islamic Golden Age
, 14–15
“Jailbreak”
, 25
Journal of Marketing (JM)
, 3
Kiosks
, 105
Knowledge
, 151, 153
KONE
, 109
Laser cutters
, 179
Lathing
, 170–171
Lean start-up methodology, combining Big Data with
, 77–79
and communication
, 79
and confidence
, 79
and confirmations
, 77–78
and control
, 78
Learning setting
, 66
Legacy firms
, 64
Leverage-salience theory
, 131
Line steepening
, 73
Line tightening
, 73
Location targeting leverages
, 101
Logistic regression
, 40
Low attention spans and distraction of Smartphone use
, 126
Machine learning (see also Artificial intelligence (AI))
, 23–24
algorithms
, 8–9
methods
, 39–40
models
, 109–110
Machine–machine communication
, 24
Machine–machine connectivity
, 14
Machine–machine digital dyad
, 21–24
Machine–machine dyad
, 20–21
MakerBot
, 170, 171, 174–175
Manufacturer Recommended Price Range (MSRP)
, 135
Market
, 18, 88
complexity
, 90
disruptions
, 1
Marketers
, 1, 105, 122, 127, 135
Marketing (see also Mobile marketing 2.0)
analytics
, 64, 65
applications
, 38–39
and consumer behavior
, 4
digital dyads in marketplace of digital age
, 20–29
in digital world
, 8–9
evolution of information in marketplace
, 17–19
information in Digital Age
, 19–20
and Internet
, 3
literature
, 169–170
manager
, 66–67
professionals
, 76
scholars
, 8, 179
scholarship
, 2, 167–168
spotlight on information
, 16–20
stages of ages
, 14–16
Marketing management
benefiting from Big Data in
, 65–66
combining Big Data with lean start-up methodology in
, 77–79
Marketing Science Institute (MSI)
, 3
Marketplace
information in
, 17–19
phenomena
, 14
revolution
, 18
Marketplace of Digital Age, digital dyads in
, 20–29
MasterCard
, 89
Materialism theory
, 178
Medical Expenditure Panel Survey
, 129
Menu costs
, 133
Mere-measurement effects
, 131
mHealth platform
, 106–107
Microsoft
, 51, 88–89
Milling
, 170–171
Minecraft
, 184
Minimum viable product (MVP)
, 78
Miskol (see Missed Call Marketing (MCM))
Missed Call Marketing (MCM)
, 103–104
Mobile
, 113–115
AR
, 107, 112
attributes and related marketing advantages
, 100
devices
, 99, 100–101, 103
marketers
, 100–101
marketing
, 98, 105–106
promotions
, 98, 99
retailing
, 99
technologies
, 105, 107
user experience
, 107–108
Mobile advertising
, 102–103
revenues
, 41–42
strategies
, 103–104
Mobile apps
, 97–98, 99, 104, 105
monetization
, 105–107, 112
Mobile marketing 2.0 (see also Marketing)
, 98
AI
, 109–110
data privacy and mobile user experience
, 107–108
emerging trends
, 105–110
IoT
, 109
key issues in mobile marketing
, 106
mobile app monetization
, 105–107
mobile AR
, 107
mobile marketing practice
, 113–116
mobile-led cross-channel effects
, 104–105
personalized mobile advertising
, 102–104
research agenda based on emerging trends
, 111–113
research agenda based on gaps in extant literature
, 110–111
review of mobile marketing research
, 99–105
self-driving vehicles
, 108–109
targeted mobile promotions
, 100–102
wearables and other smart devices
, 108
Mobile-led cross-channel effects
, 99, 104–105, 111
Moderators
, 162
variables
, 159–161
Money-back guarantees
, 163
Motivation
, 48–49, 150, 151
Motorola Moto X cellphone
, 25
Moveable Feast
, 14, 19–20, 22
Multi-purpose AI platforms
, 123
Multiplayer online battle arenas (MOBA)
, 28–29
National Health Interview Survey
, 129
Nervous System
, 182
Netflix
, 2–3, 23
Network structure
, 48–49
Neural Network Processor (NNP)
, 22–23
Non-deception, consumers’ perception of
, 144
Non-proximal mobile users
, 101–102
Non-retail settings
, 104
Not-yet-imagined digital technology
, 1
NVivo11 qualitative software program
, 148
Object
archetypes
, 175
notion of
, 178–179
Office Max
, 182
Offline retailers
, 57
Omnichannel retailing
, 104, 122
Online
advertising
, 41–43
deception
, 144
expertise
, 153
interactions
, 38
purchasing
, 142
retailers
, 182
reviews
, 46–48
search
, 45
services
, 142
sources
, 40–41
Online consumer reviews (OCR)
, 142, 143, 147
Online word-of-mouth (eWOM)
, 46
Opportunity network
, 3–4
Opt-in, get customers to
, 115
“Optimal experience” of psychological flow
, 2
Optimism
, 122
Outsourcing
, 135
Paid apps
, 106–107
Paperclip AI
, 92
Parrot Pot
, 25
Pay Pal
, 51
Perceived deception
antecedents of
, 148–154
consequences
, 158–159
Perceived Deception in Online Consumer Reviews (PDOCR)
, 142, 143, 162, 163
data analysis
, 147–148
data collection and sample
, 147
findings and conceptual model
, 148–161
literature review
, 143–146
method
, 147–148
theoretical and managerial implications
, 162–164
Perceived homophily
, 155, 156, 163–164
Perceived riskiness of purchase
, 159–160
Peripheral cues
, 157
Peripheral routes of persuasion
, 154–158
Personalization
, 103, 115
Personalized mobile advertising
, 99, 102–104, 110–111
Persuasion
central and peripheral routes of
, 154–158
persuasive advertising
, 42
Pet grooming
, 133–134
Pew Research Center
, 48
“Plant Sitter” mode
, 25
Platforms
, 51–52
Positive-NPV marketing program
, 131
Potential negativity
, 161
Practitioners
, 8
Pre-Internet
, 88
Price
, 92
fluctuation
, 133
volatility
, 134
Privacy
, 45–46
Product
knowledge
, 151
and services
, 159–160
Public policy
, 92–93
Purchase involvement
, 150–151
Rapid prototyping
, 170
Re-evaluate targeting strategy
, 115
Reformation
, 14–15, 18–19
Renaissance
, 18–19
Era
, 14–15
Replacements
, 175, 176, 183
Replicator Rapid Prototype project (RepRap Prototype project)
, 171, 176
Research questions (RQ)
, 148, 149
Resistance to using self-service technologies
, 126
Response rates declining to customer surveys
, 126, 128–132
consequences
, 131
evidence for
, 129
research opportunities
, 131–132
technology-based reasons for
, 129–131
Retail markets, Internet on
, 52–56
Retailing research
, 167–168
Retailing thought and practice, implications for
, 177–184
nature of economic institutions
, 180–181
notion of objects
, 178–179
role of consumers
, 179–180
Retailing-related issues
, 180
Review
consistency
, 155, 156
number of
, 154–155
platform
, 160–161
quantity
, 155
Revolutionary technologies
, 15–16
Risk intelligence
, 76
Robotics
, 4, 91
Savvy marketers
, 122
Selective laser sintering
, 170
Self-driving
technologies
, 6
vehicles
, 108–109
Self-esteem
, 28
Self-manufactured objects, typology of
, 174–177
Self-manufacturers
, 169–170, 180
Self-manufacturing
, 169–174
3D printing
, 170–171
3D printing literature
, 171–174
Self-protecting behaviors
, 158, 162
Self-service technology
, 86–87, 93
by consumers
, 122
Seller inputs, impact on
, 38–41
research needs
, 40–41
Seller outputs, impact on
, 41–43
shares of U.S. advertising spending by medium
, 41
U.S. online advertising revenues
, 42
Service Dominant Logic theory (SDL theory)
, 178
Shapeways.com
, 170, 182
Shopping
AR View
, 107
IoT and
, 109
journey archetypes
, 133–134
mobile apps offer
, 105–106
mobile influences
, 102
Short messaging service (SMS)
, 103
Showrooming
, 57
practices
, 126
Silicon Valley
, 15–16
Simultaneous platform response functions
, 89
Siri (Apple)
, 86–87
Smart devices
, 98, 108, 112
Smart speakers
, 109–110
Smarter mobile technologies
, 105
Smartphone
, 13–14, 98, 103
virtual assistants
, 109–110
Social
manufacturing ecosystem
, 174
networking sites
, 27–28
networks
, 48–49
production
, 180–181
roles and interactions
, 48–49
Social media
, 2–3, 28, 37, 48–50
advertising
, 57
Social Science Citation Index
, 46–47
Software
, 3–4, 85–87
agency
, 92
autonomy
, 91–92
complexity
, 88–90
intelligence
, 90–91
product
, 87–92
regulation and public policy
, 93
research directions
, 92–93
research on company strategy
, 92–93
research on consumer behavior
, 93
Solidworks
, 170
Solutions
, 175, 176, 183–184
Staples
, 182
Statistical analyses
, 68–69
Statistical literacy
, 76
Stereo-lithography
, 170
Substitutes
, 175, 176, 182–183
Super Bowl (2019)
, 6–7
Survey-based research
, 129
Tablets
, 103
Tangible goods
, 86
Target setting
, 66
Targeted mobile promotions
, 99–102, 110
Tech-expert
, 152
Technology
, 122
orientation
, 123
technology-enabled dynamic pricing methods
, 134
technology-enabled retail fraud by consumers
, 126
Technology Acceptance Model
, 7
Teenage Engineering
, 183
Telecom
, 3–4
Telecommunicators
, 18
Temporal targeting
, 101–102
Tencent
, 88–89
Text mining methods
, 40
Thank God It’s Friday (TGIF)
, 110
Thingiverse.com
, 168, 174–175
3D printers
, 168, 170, 179
3D printing
, 170–171, 183
of existing objects and new creations
, 172–173
literature
, 169, 171–174
technology
, 4
threat and opportunity for retailers
, 173–174
Time series analysis
, 50
Tinkercad
, 170
Traditional non-platform firms
, 89
Transaction cost theory
, 180
Transformation
, 76
Transparent presentation of statistical insights
, 74–76
Travelocity
, 3–4, 38
TripAdvisor
, 142
Trust
, 93
TrustedShops.com
, 163
Turing Machine
, 86
Twitter
, 18–19, 39–40
U.S. adults on “Automation in Everyday Life”
, 6
Uber
, 93
Ultimaker
, 170, 171
University of Illinois
, 184
US Ninth Circuit
, 93
User generated content
, 46–51
online reviews
, 46–48
research
, 48, 50–51
social media
, 48–50
Utilitarian purchase
, 161
Utility function
, 92
Value exchange
, 86, 88
Virtual reality (VR)
, 99
Virtual social interaction
, 18–19
Visualizations
, 74, 76
Voice-based devices
, 108
Volume, velocity, and variety (3Vs)
, 64, 65, 67–68
of Big Data
, 69
Volume, velocity, variety and veracity (4Vs)
, 63–64, 65, 67, 68
W-Fi
, 2–3, 36
Wearable devices
, 99, 108, 112
Web browser
, 36
Webrooming practices
, 126
Windows
, 51
Word of mouth (WOM)
, 27–28
Yahoo
, 3–4
Zero marginal costs of software businesses
, 92
ZocDoc app
, 108
- Prelims
- Transitioning to a Digital World
- Marketing in the Digital Age: A Moveable Feast of Information
- The Impact of Digital Innovations on Marketing and Consumers
- Big and Lean is Beautiful: A Conceptual Framework for Data-based Learning in Marketing Management
- The Growing Importance of Software as a Driver of Value Exchange
- Mobile Marketing 2.0: State of the Art and Research Agenda
- All’s Not Well on the Marketing Frontlines: Understanding the Challenges of Adverse Technology–Consumer Interactions
- Perceived Deception in Online Consumer Reviews: Antecedents, Consequences, and Moderators
- Self-manufacturing via 3D Printing: Implications for Retailing Thought and Practice
- Previous Volume Contents
- Index