Index

Innovation and Strategy

ISBN: 978-1-78754-829-9, eISBN: 978-1-78754-828-2

ISSN: 1548-6435

Publication date: 3 July 2018

This content is currently only available as a PDF

Citation

(2018), "Index", Innovation and Strategy (Review of Marketing Research, Vol. 15), Emerald Publishing Limited, Leeds, pp. 339-348. https://doi.org/10.1108/S1548-643520180000015014

Publisher

:

Emerald Publishing Limited

Copyright © 2018 Emerald Publishing Limited


INDEX

A.C. Nielsen
, 9

Activity system

content
, 156–157

governance
, 157

structure
, 157

Adhocracy orientation
, 259

Adobe Photoshop
, 32

AI. See Artificial intelligence (AI)

Algorithm-based decision making
, 14

commercialization
, 23

ethical issues
, 26n1

front end innovation
, 19

new product development
, 21

Amazon
, 14, 126

American Customer Satisfaction Index (ACSI)
, 264, 266, 276n1

Apple Inc.
, 100, 233

design aesthetic
, 213

ecosystem
, 13

graphical user interface by
, 152

MacBook in 2015
, 49

Architectural innovation
, 150

Arenas
, 6

Ariely, Dan
, 25

Artificial intelligence (AI)
, 15, 26n2

Attention

levels
, 14

managerial
, 5, 10, 11, 15

poverty of
, 4

in strategic management context
, 10

Average variance extracted (AVE)
, 238–239, 267

Axial coding
, 297

Baidu
, 14

Bankruptcy
, 100

BAV. See Brand asset valuator (BAV)

B2B. See Business-to-business (B2B)

B2C. See Business-to-consumer (B2C)

Big Data
, 5, 7–10

Board of the Canadian Chamber of Commerce
, 297

Brand asset valuator (BAV)
, 112

Brand-depreciation costs
, 111

Brand energy
, 112

Brand equity

categorization
, 115

competition
, 121–122

conceptual framework
, 113–116

customers
, 118–119

dimensions
, 111–112

external network
, 120–121

firms
, 116–118

impact
, 112–113

innovative ideas affecting
, 114

macro-environment
, 122–124

technology
, 124–126

Business analysis
, 16

Business model innovation
, 149, 150, 156–157

Business Source Premier
, 56n1

Business strategy
, 161

Business-to-business (B2B)
, 50

adoption controllability
, 49–50

co-existence
, 51–52

embeddedness
, 52–53

multigroup analysis
, 242

Business-to-consumer (B2C)
, 50

adoption controllability
, 49–50

co-existence
, 50–51

customer involvement in innovation
, 74, 79, 83–85

embeddedness
, 52–53

multigroup analysis
, 242

Business Week
, 170

Cash-flow return on assets (CFROA)
, 264–265, 269–271, 274, 275

CII. See Customer involvement in innovation (CII)

Circumvention innovations
, 123

CIS. See Customer involvement as an information source (CIS)

Citizenship behaviors
, 313–314

Civilization transforming innovations
, 162

Clan orientation
, 259

CNG. See Compressed natural gas (CNG)

Coca-Cola
, 121, 131

Co-creation

customer involvement in
, 55

in service marketing
, 94

Co-existence, in successive innovation
, 45–48, 50–52

Collaborative innovation
, 312–313

Commercialization
, 16, 152, 153

Competing values theory
, 258–262

Competition-originated innovation
, 121–122

Composite reliability (CR)
, 238–239

Compressed natural gas (CNG)
, 123, 136n5

Configuration theory methodology
, 261–262

Confirmatory factor analyses (CFA)
, 266

Contributions

to literature
, 134

to practitioners
, 134–135

Convergence innovation
, 155

Corporate strategy
, 161

Cost model
, 157

CR. See Composite reliability (CR)

Creativity
, 175, 182–183

Cross-functional knowledge development and training
, 309–310

Culture shaper
, 300–302

Customer co-creation
, 68

Customer co-development
, 68

Customer collaboration
, 68

Customer engagement
, 93

Customer-generated incremental innovations
, 130

Customer integration
, 69

Customer involvement
, 67

Customer involvement as a co-developer (CIC)
, 69

Customer involvement as an information source (CIS)
, 69

Customer involvement as an innovator (CIN)
, 70

Customer involvement in innovation (CII)

academic research
, 64

antecedents and consequences
, 73

benefits
, 79

co-creation in service marketing
, 94

conceptualizations
, 64, 72–73

customer engagement
, 93

customer relationship management
, 93

customers’ perspective
, 73–79, 91

degree
, 66–71

empirical research on
, 64–65

firm capabilities
, 92–93

firm’s perspective
, 79–85, 91–92

forms
, 71–72

integrated conceptualization
, 87–88

knowledge management
, 92

managing
, 88–91

market orientation
, 93

NPD project
, 79, 84–85

organizational learning
, 92

resource-based view
, 92–93

strategic drivers of
, 88

strategic impact
, 90–91

techniques of
, 72–73

theoretical development of
, 92

user-friendly toolkits
, 72

Customer orientation
, 231–233

aesthetics
, 233, 237

bivariate relationships
, 239–240

conceptual model
, 240–242

correlation matrix
, 238

and design orientation
, 233–234

descriptive statistics
, 238

firm’s culture
, 235

four-item scale
, 237

innovations
, 118–119

limitations and opportunities
, 247–248

managerial implications
, 245–247

marginal effects analysis
, 243–245

measures
, 237–238

model-free evidence
, 239–240

multigroup analysis
, 242

multiple respondents
, 243

new product development
, 233–234

nomological validity
, 239

reliability
, 238–239

robustness analyses
, 242–243

technological capabilities
, 245

and technological orientation
, 234

theoretical contributions
, 247

validity
, 238–239, 242–243

willingness to cannibalize
, 234–235

Customer participation
, 66, 67

Customer relationship management
, 93

Customer satisfaction
, 258, 264, 269, 271

Customer service firm
, 311

Customer trust-commitment model
, 306, 312–314

Customer value proposition
, 6, 15, 157, 159, 173

Data saturation
, 294

Decision makers
, 5–14, 25

Decision-making environment
, 4, 5, 10

Dell
, 118, 120

Design attributes

experiential benefits
, 206, 212–213

functional precedence
, 206, 209–211

hedonic dominance
, 209–211

joint presentation with independent evaluation
, 207

managerial contribution
, 224–225

promotion and prevention goals
, 211–212

relationship between
, 214–223

self-expressive benefits
, 206, 213–214

theoretical contribution
, 224

types of
, 208–209

Design-driven approach
, 230, 233, 247

Design orientation
, 231–233

aesthetics
, 233, 237

bivariate relationships
, 239–240

conceptual model
, 240–242

correlation matrix
, 238

and customer orientation
, 233–234

descriptive statistics
, 238

firm’s culture
, 235

limitations and opportunities
, 247–248

managerial implications
, 245–247

marginal effects analysis
, 243–245

measures
, 237–238

model-free evidence
, 239–240

multigroup analysis
, 242

multiple respondents
, 243

nomological validity
, 239

reliability
, 238–239

robustness analyses
, 242–243

technological capabilities
, 245

and technological orientation
, 234

theoretical contributions
, 247

validity
, 238–239, 242–243

willingness to cannibalize
, 234–235

Differentiators
, 6

Digital footprints
, 24

Digital innovation
, 33–35

Digitalization
, 48

Digital product domains
, 44–45

Economic logic
, 7

edX
, 121

Embeddedness, in successive innovation
, 48–49, 52–53

Empirical research
, 24

Employee trust-commitment model
, 306, 308–312

Empowerment
, 78, 307, 310

Environmental sustainability
, 214, 224

Experiential benefits
, 212–213

Exploitative innovation
, 150

Exploratory innovation
, 150

External network
, 120–121

Financial costs
, 110–111

Financially accountable
, 17

Finer-grained assessment
, 17

Forbes
, 125

For-profit organizations
, 152–155

Fortune Magazine
, 285

Front end innovation
, 16, 18–23

Functional precedence
, 209–211

Future-market focus
, 173

Game changing innovations
, 162

Gazelles
, 285–289

General Mills
, 120

Goods

vs. services
, 130–132

standardization
, 130

Google
, 14

Grant Thornton Private Business Growth award
, 293

Harman’s one-factor test
, 237

Harmon’s single-factor test
, 267

Hedonic dominance
, 209–211

Hierarchy orientation
, 259

Highest Paid Person’s Opinions (HiPPOs)
, 24

High prices and margins
, 314

HiPPOs. See Highest Paid Person’s Opinions (HiPPOs)

IBM
, 9, 25, 53

Immelt, Jeff
, 170

Incremental innovation
, 34, 36, 127–130

Incrementally new product
, 151

Incremental product innovation
, 149

Information & decision sciences journals
, 43–44

Information-rich environment
, 4

decision-making approaches in
, 12

innovation process
, 15–17

strategic decision making in
, 10–15

Innovation

benefits
, 108–110

competition-originated innovation
, 121–122

competitive advantage
, 108

conceptualizations
, 151

contributions
, 134–135

costs
, 109, 110–111

customer-originated innovations
, 118–119

definition
, 102–103, 146–154

external network
, 120–121

firms
, 104–107, 116–118

in information-rich environment
, 15–17

intangible benefits
, 108

internal sources of
, 103

macro-environment
, 122–124

market position
, 108

moderating effect
, 127–133

organizational capabilities
, 110

organizational learning
, 108

private firms
, 311–312

radical innovations
, 127

reinvesting in sources
, 132–133

sources
, 103–108, 116–126

strategy
, 32–33, 160–163

successful innovation
, 100–102

tangible benefits
, 108

technology-originated innovations
, 124–126

Intellectually lazy approach
, 24

Inter-attribute comparisons
, 210

Internet retailing
, 160

Intuition-based decision making
, 13, 18, 20, 22

Ive, Jonathan
, 233

Joint cognitive decision making
, 18, 21, 22

Land O’Lakes
, 120

Large-scale global survey
, 10–11

Linguistic inquiry and word count (LIWC)
, 8

Machine intelligence
, 11, 14

Macro-environment
, 122–124, 131

Major cost elements
, 158

Management journals
, 43

Managerial attention
, 5, 10, 11, 15

Managerial decision making
, 17

commercialization
, 22–23

front end innovation
, 18–19

new product development
, 20–21

Managerial intuition
, 13

Market breakthrough product innovation
, 149

Market entry

modes of
, 145

order of
, 145

Market foresight

active scanning
, 178–180

antecedents
, 179

boundary spanner input
, 181

conceptual framework and hypotheses
, 178–184

creativity
, 182–183

defining
, 172

development
, 195–196

discriminating
, 173–174

evaluation
, 182

external sources
, 174–175, 178–180

field perspectives on
, 176–178

framework, developing
, 174–178

implications
, 192–194

interdepartmental connectedness
, 181–182

internal sources
, 175, 181–182

interviews with managers
, 176–178

lead user collaboration
, 180

leveraging the impact
, 183–184

limitations
, 194–195

market experiments
, 180

new product outcomes
, 175–176, 182–183

open-mindedness
, 182

process
, 171–172

reconfiguration capability
, 183–184

speed to market
, 183

testing the framework

active scanning
, 185, 188

boundary spanner input
, 188

construct-level measurement statistics
, 190

control variables
, 189

correlation of constructs
, 190

data analysis procedures
, 189–192

lead user collaboration
, 188

measures
, 185–189

path analysis
, 189, 191

path coefficients
, 191, 192

reconfiguration capability
, 188–189

robustness test
, 189

sample
, 184–185

t-values
, 191, 192

timeliness
, 183

Market information
, 171–173

external sources
, 174–175, 178–180

internal sources
, 175, 181–182

Marketing

definition
, 145

innovation
, 157–160

journals
, 42–43

Marketing decision support systems (MDSS)
, 14

Marketing management support systems (MMSS)
, 5

Marketing strategy
, 7, 145

customer involvement in innovation
, 91

definition
, 145

research
, 258

Market knowledge
, 180, 183

Market orientation (MO)

analyses
, 267–271

behavioral operationalizations
, 261

correlations
, 268

descriptive statistics
, 265

development
, 275–276

implications
, 273–275

knowledge gaps
, 258–259

limitations
, 275–276

measures
, 264–266

reliability and validity of measures
, 266–267

research design
, 262–264

system of equation results
, 271–273

theoretical contributions
, 257–258

theory framework
, 259–262

Market-pull approach
, 230

Market reader firms
, 155

Market sensing
, 174, 178

Markets to serve
, 145

Maruti Suzuki
, 130–131

MDSS. See Marketing decision support systems (MDSS)

Microsoft
, 5, 48

MMSS. See Marketing management support systems (MMSS)

MO. See Market orientation (MO)

Moore’s law
, 8

MTV
, 125

Nadella, Satya
, 5

Need seeker firms
, 155

Netflix
, 14

Neurophysiological methods
, 17, 24

New product development
, 16, 33, 182–183

bivariate relationships
, 239–240

conceptual model
, 232

customer orientation
, 233–234

design orientation
, 231–232

developing
, 175–176

different approaches in
, 230

estimation
, 240–242

limitations and opportunities
, 247–248

managerial implications
, 245–247

marginal effects analysis
, 243–245

measures
, 237–238

performance
, 232–235

robustness analyses
, 242–243

technological orientation
, 234

total product design concept
, 230–231

validity
, 238–239

willingness to cannibalize
, 234–235

Nickelodeon
, 125

Non-financial costs
, 111

Not-for-profit organizations
, 152–155

Open coding
, 297

Open-mindedness
, 177, 182, 191

Operating model
, 157

Opportunity cost
, 111

Opt-in
, 152

Opt-out
, 152

Organizational culture
, 257–258

analyses
, 267–271

behavioral operationalizations
, 261

correlations
, 268

descriptive statistics
, 265

development
, 275–276

implications
, 273–275

knowledge gaps
, 258–259

limitations
, 275–276

measures
, 264–266

reliability and validity of measures
, 266–267

research design
, 262–264

system of equation results
, 271–273

theory framework
, 259–262

Organizational learning
, 92, 108

Palo Alto Research Center (PARC)
, 152

Partial least squares (PLS)
, 189, 191

PepsiCo
, 123

Pepsi’s Blind Taste Test Challenge
, 121

P&G’s Connect and Develop program
, 118

Physical product domains
, 44–45

PLS. See Partial least squares (PLS)

Porter’s Five-Forces model
, 287

Practice-based research
, 16

Practitioners, contributions to
, 134–135

Prevention goals
, 211–212

Privately firms

employee focus
, 299

extant literature
, 298–300

field-based approach
, 292–293

firm orientation and flexibility
, 299

founders
, 300–304

gazelles
, 285–289

industry type
, 298–299

innovation
, 299–300

limitations
, 314–316

list of companies and growth rates
, 295–296

literature review
, 286–292

ownership
, 298, 300–304

sample
, 293–297

size and age
, 298

snowballing technique
, 294

stability of industry
, 299

strategic choices
, 302–304

trust-commitment model

customer
, 306, 312–314

employee
, 306, 308–312

revisiting
, 304–308

Proactive market orientation
, 173

Process innovation

definition
, 149

phases of
, 16

See also Innovation

Product innovation
, 144, 151, 154–163

definition
, 149

incremental
, 149

market breakthrough
, 149

radical
, 149

technological breakthrough
, 149

Product parity
, 125

Product versioning/upgrades
, 46–47

Promotion emotions

experiential benefits
, 212–213

self-expressive benefits
, 213–214

Promotion goals
, 211–212

Psychometric testing
, 266–267

Qualtrics online survey software
, 235

Radical innovations
, 127

Radically new product
, 151, 162

Radical product innovation
, 149

Rapid-growth firms

employee focus
, 299

extant literature
, 298–300

field-based approach
, 292–293

firm orientation and flexibility
, 299

founders
, 300–304

gazelles
, 285–289

industry type
, 298–299

innovation
, 299–300

limitations
, 314–316

list of companies and growth rates
, 295–296

literature review
, 286–292

ownership
, 298, 300–304

sample
, 293–297

size and age
, 298

snowballing technique
, 294

stability of industry
, 299

strategic choices
, 302–304

trust-commitment model

customer
, 306, 312–314

employee
, 306, 308–312

revisiting
, 304–308

Rational approach
, 11

RBV. See Resource-based view (RBV)

R&D department
, 116

Relationship benefits
, 310

Relationship marketing, trust-commitment model for

customer
, 306, 312–314

employee
, 306, 308–312

revisiting
, 304–308

Resource-based view (RBV)
, 274, 287

Respect
, 308–309

Revenue model
, 157, 158

Reverse innovation
, 150

Safe market growth strategy
, 183

Samsung’s Family Hub™ refrigerator
, 35

SBU. See Strategic business unit (SBU)

SCImago Journal & Country Rank
, 39

S-C-P model
, 287

Seemingly unrelated regressions (SUR)
, 270

Selective coding
, 297

Self-expressive benefits
, 213–214

Service innovation
, 130–131, 164n1

Service marketing
, 94

Services, goods vs.
, 130–132

Single-factor confirmatory model
, 276n2

Small and medium sized enterprises (SMEs)

employee focus
, 299

extant literature
, 298–300

extant research
, 289–292

field-based approach
, 292–293

firm orientation and flexibility
, 299

founders
, 300–304

gazelles
, 285–289

industry type
, 298–299

innovation
, 299–300

limitations
, 314–316

list of companies and growth rates
, 295–296

literature review
, 286–292

ownership
, 298, 300–304

sample
, 293–297

size and age
, 298

snowballing technique
, 294

stability of industry
, 299

strategic choices
, 302–304

trust-commitment model

customer
, 306, 312–314

employee
, 306, 308–312

revisiting
, 304–308

SmartPLS
, 189

SMEs. See Small and medium sized enterprises (SMEs)

Social innovation
, 150, 154

Stage-gate system
, 16

Staging
, 6

Strategic business unit (SBU)
, 235

Strategic decision making

in information-rich environment
, 10–15

innovation process
, 15–17

Strategic flexibility
, 173–174

Strategic innovation
, 161–163

Strategic marketing

decisions
, 146

domain of
, 146, 147–148

Strategy

Big Data
, 7–10

business
, 161

corporate
, 161

decision makers
, 7

definition
, 6

elements
, 6–7

innovation
, 32–33, 160–163

marketing strategy. See Marketing strategy

safe market growth strategy
, 183

Strong balanced cultures
, 260

Structured data
, 8

Successive innovation

adoption controllability
, 49–50

co-existence
, 45–48, 50–52

conceptual framework
, 41–42, 44–50

digital and physical product domains
, 44–45

digital innovation
, 33–35

disciplinary domain
, 40

embeddedness
, 48–49, 52–53

fragmented literature
, 40–41

information & decision sciences journals
, 43–44

journals in literature search
, 37–39

literature review procedures
, 36–40

management journals
, 43

marketing journals
, 42–43

SUR. See Seemingly unrelated regressions (SUR)

Sustainable innovation
, 150

Sustainable product innovation
, 150, 154

Swatch watches
, 230–231

Target segment
, 157

Technological breakthrough product innovation
, 149

Technological opportunism
, 126

Technology driver firms
, 159

Technology-originated innovation
, 124–126, 132, 231, 234, 237, 242

Technology-push approach
, 230

Temporal costs
, 111

Tesla
, 33, 48

Thucydides’s Trap
, 25

Timeliness
, 175

Total product design concept
, 230–231

Toyota
, 120

Traditional decision-making approach
, 11, 18, 20, 22

Transparency and ongoing communication
, 310

Transportation Technical Services (TTS) database
, 263–266

Trust-commitment model

customer
, 306, 312–314

employee
, 306, 308–312

revisiting
, 304–308

Tsujihara, Kevin
, 170

TTS database. See Transportation Technical Services (TTS) database

Two-stage model
, 308

Unstructured data
, 8

User involvement
, 68

Value chain
, 157

Value proposition
, 157

Variety
, 8

Vehicles
, 6

Velocity
, 8

Viacom
, 125

Visual aesthetics
, 212–214, 219–221, 223, 224, 228

Volume
, 8

Walmart
, 4, 8–10

Warner Brothers
, 170

Willingness to cannibalize
, 234–235

Willingness to pay

experiential benefits
, 206–207, 212–213

hedonic vs. functional attributes
, 210–211

self-expressive benefits
, 206–207, 213–214