Index

Citation

Bratianu, C., Garcia-Perez, A., Dal Mas, F. and Bedford, D. (2024), "Index", Knowledge Translation (Working Methods for Knowledge Management), Emerald Publishing Limited, Leeds, pp. 281-288. https://doi.org/10.1108/978-1-80382-889-320241019

Publisher

:

Emerald Publishing Limited

Copyright © 2024 Constantin Bratianu, Alexeis Garcia-Perez, Francesca Dal Mas and Denise Bedford

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INDEX

Ability

, 70

Absorptive capacity

, 45, 114

Academia

, 105

Acoustic articulation

, 51

Actors

, 44–45

in safe behaviors domain

, 237

Adversity competence

, 80

Aggressive communications

, 53

Anthropology

, 31

Articulation

, 51

guiding questions pertaining to

, 52

Artificial intelligence (AI)

, 4

Artistic articulation

, 51

Assertive communicators

, 53

Assessment of knowledge translation

, 129, 136–137

definition and characterization

, 130

designing

, 133–137

end state

, 133

initial state

, 132

learn and understand

, 132

logistics and mechanics of assessment

, 137–138

process

, 132–133

scale of

, 135

scope of

, 134–135

shifting landscape

, 130–131

translation of

, 135–136

Asset

, 4

Attitude

, 70–71

Augmented reality (AR)

, 101

Automated call-handling systems

, 200

Automated help centers

, 199

business case review

, 214

domain overview

, 200–205

key actors

, 208

key components from knowledge perspective

, 205–209

knowledge basics

, 209–211

knowledge translation in

, 211–213

Automated medical transcription applications

, 225

Automatic speech recognition (ASR)

, 201

Aymara culture

, 106

Best evidence

, 26

Bi-directional conversation

, 208

Big data

, 101

Breast units

, 162

Business goals of service providers

, 202

Business performance assessment

, 30–31

Call centers

, 200

Capabilities

, 87–88

Channels

, 121

communication

, 121–122

and representation of knowledge

, 126

and scale and type of communication

, 122–126

by scale and type of communication

, 125–126

ChatGPT family of programs

, 208

Clinical domain

, 160–162

Clinical knowledge

, 159

Co-creation

, 97

Combination

, 97

Communication

, 52–55, 77, 162–164

channels

, 55–56, 121–122

competence

, 75

guiding questions pertaining to

, 54

sciences

, 21

style

, 53–54

theory

, 30

Competences

, 69–73

Competencies

, 69–73

Competitive strategy

, 111

Complexity

, 80–81

Concentration

, 48

Context-focused models

, 27–28

Coordinated Implementation Model

, 28

Cost of time

, 5

Coverage

, 48

COVID-19

crisis

, 81

pandemic

, 3–4

Creative leadership

, 89–90

Creativity

, 89

competence

, 83

Critical capabilities

, 87–89

Cross-country technology

business case review

, 194–195

design and implementation ecosystem

, 187–189

domain overview

, 184–187

environment context

, 185

key stakeholders and actors

, 190–191

knowledge basics

, 192–193

knowledge flows by levels of ecosystem

, 191–192

knowledge structures

, 189–190

knowledge translation in

, 193–194

organizational context

, 186–187

technology context

, 185–186

Cultural competence

, 75

Cultural studies

, 31

Cultural translation

, 31

Culture

, 183

Customer knowledge management

, 98

Customer service engineers

, 149, 152

Data science

, 101

Deliberate strategies

, 106

“Demand pull” model

, 24

Deterministic thinking

, 90

Dial-tone interaction

, 200–201

Digital competence

, 76–77

Digital literacy competence

, 76–77

Digitalization

, 107

Disease units

, 162

Disruptive information technologies

, 4

Distance

, 48

Doctor–patient discourse

, 217

business case review

, 227

domain overview

, 218–219

ecosystem

, 220

key actors

, 222

knowledge basics

, 223–225

knowledge flows across levels of ecosystem

, 222–223

knowledge structures

, 220–222

knowledge translation in

, 226–227

Domain competence

, 75–76

Domain to domain knowledge translation

, 63–64

Durability

, 48

Dynamic capabilities

, 88

Ecosystem view of domain

, 146, 156–157

Emergent strategies

, 106

Emotional knowledge

, 5, 11–12

Empiricism

, 7–8

Energy

, 11

Engineering knowledge

, 147

flows

, 150–152

Enterprise architecture

, 184

Entropy

, 9, 76, 100

Environment context

, 185

Episteme

, 8

Epistemology

, 7

Ethnography

, 31

Evidence-based practice (EBP)

, 23, 25–26

Evolutionary strategy

, 111

Exchange

, 52–55

Experience goods

, 4

Expert knowledge translation model

, 77–78, 98

Explicit knowledge

, 8, 10, 42

Externalization

, 97, 114

Extreme reality

, 101

Face-to-face channels

, 123

Feedback

, 169

Field

, 11

Financial lending

, 243

business case review

, 254

domain

, 244–246

ecosystem

, 247–248

key actors

, 249–250

knowledge basics

, 251–252

knowledge flows across levels

, 250–251

knowledge structures

, 248–249

knowledge translation in

, 252–254

markets

, 244

Fluid flow

, 10

Foresight

, 109

Formal lending approaches

, 247

Generic capabilities

, 88–89

Generic knowledge strategies

, 112–113

Generic skills

, 71

Geography of network

, 55

Grameen Bank

, 247

Group to group translation

, 63

GTM

, 143–144, 146, 148

customer service engineers

, 152

sales engineers

, 151

Hard information

, 248–249

Hard knowledge

, 174

Hard skills

, 71

Health practitioners

, 177

Healthcare

, 155, 170

business case review

, 164

domain overview

, 155–156

industry

, 162, 175–176

intermediaries

, 175

key components from knowledge perspective

, 156–159

knowledge basics

, 159–160

knowledge flows

, 160–162

knowledge translation in disease units

, 162–164

Human capital

, 14

Human knowledge

, 42

Iceberg metaphor

, 10

Ideograms

, 75

Imagination competence

, 83

In-country pharmacists

, 177

In-country spiritual and cultural authorities

, 178

Individuals’ knowledge

, 10

Inertial thinking

, 91

Information asymmetry

, 245–246

Information dissemination

, 26

Information entropy

, 9

Information technology

, 100–101

Innovation

, 116

Institutionalizing

, 98

Intangible assets

, 4

Integrating

, 98

Integration

, 88

Intellectual capital

, 13, 83, 91

Intelligent actors

, 218

Inter-organizational stakeholders

, 146, 157

Interaction with structured data (ISD)

, 212

Interaction-focused models

, 27–28

Interactions

, 52, 54, 162–164

channels of

, 55–56

Interactive voice response (IVR)

, 213

Interdisciplinarity

, 81

Interdisciplinary knowledge translation model

, 80, 98

creativity competence

, 83

imagination competence

, 83

knowledge integration competence

, 83

metaphorical thinking competence

, 82–83

Intermediaries

, 175

Internal knowledge flows

, 148–149, 159–160

Internalization

, 97

International non-governmental organizations (INGO)

, 173–174, 176

Internet of things (IoT)

, 101

Interpretation

, 73

Interpreter

, 73–74

Interpreting

, 98

Intra-organizational stakeholders

, 146, 157

Intuinting

, 98

Kinesthetic articulation

, 51

Knowledge

, 9–10, 70, 81

acquisition

, 114–115

actors/stakeholders

, 146, 157

articulation and representation

, 50–52

asymmetry

, 245–246

attributes

, 11

attrition

, 100

basics

, 192–193, 209–211, 223–225

capital

, 3, 13–15

co-creation

, 92, 96–98

component

, 41, 209

creation

, 116

diffusion

, 29

dissemination

, 29

economy

, 3–6, 17

entropy

, 9, 100

exchange

, 29

exploitation

, 114

exploration

, 115–116

forgetting

, 100

hiding

, 100, 115

hoarding

, 115

integration competence

, 83

knowledge-based organizations

, 6

knowledge-intensive organizations

, 6

leakage

, 100

loss

, 100

map

, 114

markets

, 5

resources

, 6–9

risks

, 99

security

, 99–100

sharing

, 29, 115

spillover

, 100

stakeholders and actors

, 173

strategies

, 111

transfer

, 29

transformation

, 29

vulnerabilities

, 99

waste

, 100

Knowledge assets

, 3–6, 41–44

guiding questions

, 43

Knowledge dynamics

, 9–13

competence

, 79

Knowledge ecosystem

, 170–172

scale of translation in

, 60–65

scope of translation in

, 56–60

Knowledge flows

, 7, 147, 158, 250–251

external stakeholders

, 149–150

internally to help center exchange

, 210–211

involving external stakeholders

, 160

levels of domain

, 208–209

levels of ecosystem

, 191–192, 222–223, 238–239

in safety behaviors

, 241–242

scope of ecosystem

, 205–206

Knowledge management (KM)

, 6–9, 21, 111

Knowledge structures

, 9–13, 146, 157, 172–173, 189–190, 206–208, 220–222, 236, 248–249

safe design of environment

, 236

Knowledge translation (KT)

, 12, 15, 21, 29, 37, 87, 90, 152–153, 155

actors

, 44–45

in automated help centers

, 211–213

business performance assessment

, 30–31

central government to single units

, 164

channels of interaction

, 55–56

clinicians with different expertise, medical scientists and other professionals

, 163

communication and exchange

, 52–55

communication theory

, 30

competencies

, 69

conceptual model

, 37–39

in cross-country technology design and implementation

, 193–194

cultural studies, anthropology and ethnography

, 31

current challenges with KT theory and practice

, 26–28

definition and characterizations

, 22–24, 106–107

in designing safety into environment

, 241

in disease units

, 162–164

in doctor–patient discourse

, 226–227

emergence of

, 16–17

in financial lending markets

, 252–254

foundational components

, 39

for improving safety in transportation

, 240–242

to KM

, 28–30

knowledge articulation and representation

, 50–52

knowledge assets

, 41–44

knowledge component

, 41

levels

, 158–159

linguistic theory

, 30

model and framework

, 39–41

patient to physician

, 163

physician to patient

, 163

predicting future

, 107–110

public sector entity

, 164

in regulatory and compliance systems

, 267

relationships

, 45–50

scale of translation in knowledge ecosystem

, 60–65

from science to clinical results

, 163

scope of translation in knowledge ecosystem

, 56–60

strategies

, 105–106, 110–117

theory, practice and evolution

, 24–26

translation component

, 50

Knowledge-to-Action (KTA)

, 28

Known–unknown dynamics

, 111

Language

, 76

knowledge translation

, 98

Language translation model (LTM)

, 73

(see also Interdisciplinary knowledge translation model)

adversity competence

, 80

communication competence

, 75

cultural competence

, 75

digital competence

, 76–77

domain competence

, 75–76

expert knowledge translation model

, 77–78

knowledge dynamics competence

, 79

learning competence

, 76

linguistic competence

, 74

problem-solving competence

, 76

semantic competence

, 78–79

social competence

, 79

translation competence

, 74–75

trust competence

, 80

Leadership

, 89

Learning competence

, 76

Learning organizations

, 6

Lenders

, 246

Linearity

, 91

Linguistic articulation

, 51

Linguistic competence

, 74

Linguistic theory

, 30

Linguistics

, 21

Local community

, 177–178

Local midwife

, 177

Low level uncertainty

, 109

Macro level

, 60–64

flows

, 265

knowledge flows

, 222

knowledge translation and channels

, 124–125

lending markets

, 250

Macrolending market

, 247

Manipulative communicators

, 53

Manufacturing

, 143

business case review

, 153–154

domain overview

, 143–144

engineering knowledge flows

, 150–152

knowledge basics

, 147–150

knowledge translation

, 152–153

process

, 144–147

Medical corporations

, 218

Medical domain

, 223–224

Medical faculty, students and researchers

, 176–177

Medical information systems

, 218, 224–225

stakeholders

, 219

Medical stakeholders

, 219

Meso level

, 60–61, 63

flows

, 266

knowledge flows

, 222

knowledge translation and channels

, 123–124

lending markets

, 250–251

Meso-lending market

, 247

Metaphor

, 10, 81

Metaphorical thinking

, 10

competence

, 82–83

Metaverse

, 101

Micro level

, 60–63

flows

, 266–267

interactions

, 123

knowledge flows

, 223

lending markets

, 251

Microlenders

, 246

Microlending

, 245–247

Microlending markets

, 247, 249

Midwives

, 177

Minds

, 12

Moderate uncertainty

, 109–110

Natural language

, 201

New Product Development (NPD)

, 98

Newsweek

, 94

Nokia Company

, 109

Non-competitive markets

, 5

Non-excludable property

, 5

Non-governmental organizations (NGO)

, 176

Non-human actors

, 45, 211–212

Non-technical skills

, 159

Non-word events

, 213

Open innovation

, 116

Opportunity costs

, 5

Organizational context

, 186–187

Organizational culture

, 94–96

Organizational integrators

, 6

Organizational learning

, 98–99

Ottawa Model of Research Use

, 27

Passive communicators

, 53

Patient stakeholders

, 219

Patient-centered healthcare ecosystem

, 63

Patient’s domain

, 161, 224

Person-to-person geographies

, 55

Person-to-person knowledge translation

, 62–63

Phronesis

, 8, 93

Possible future

, 107

Preferable future

, 107

Proactive regulation

, 259

Probable future

, 107

Problem-solving competence

, 76

Procedural knowledge

, 42–43

Public good

, 4

Quality of service

, 202

Rational knowledge

, 11–12

Rationalism

, 7

Reactive regulation

, 259

Receiver semantic universe (RSU)

, 77

Regional or location-based community lending

, 245

Regulatory and compliance systems

, 257

compliance ecosystem

, 262–263

compliance knowledge structures

, 263–264

domain overview

, 258–259

ecosystem

, 259–260

key compliance actors

, 264–265

key regulatory actors

, 261–262

knowledge basics

, 267

knowledge flows across levels

, 265–267

knowledge translation in

, 267

regulatory knowledge structures

, 261

Relatedness

, 49

Relational capital

, 15, 43

Relationships

, 45–50

guiding questions pertaining for

, 49–50

types of

, 49

Research and education domain

, 161

Research utilization and uptake

, 24–25

Restrictive regulation

, 259

Risk

, 90

Safe behavior in transportation

, 235–236

Safety

, 232–233

Sales engineers

, 149, 151

Scale of knowledge flows across ecosystem

, 173–174

Scenarios

, 108

thinking

, 108

Secondary communications

, 220

Semantic articulation

, 51

Semantic competence

, 78–79

Semantic links

, 48

Semantics

, 74

Sender semantic universe (SSU)

, 77

Service engineers

, 150

Shared value system

, 93–94

Significant uncertainty

, 110

Skills

, 71

Social competence

, 79

Social media platforms

, 124

Social sciences

, 49

Social structure

, 90

Social support communities

, 178

Socialization

, 97

Socialization, Externalization, Combination, Internalization model (SECI model)

, 12, 83, 116

Soft information

, 248–249

Soft skills

, 71, 159

Source language

, 74

Spiritual intelligence

, 13

Spiritual knowledge

, 5, 11–13

Stakeholders

, 205, 233–234

in domain

, 219

Stetler Model of Research Utilization

, 28

Stock-and-flow

, 10

Strategic conversations

, 92

Strategic foresight

, 109

Strategic resource

, 8

Strategic thinking

, 90–91, 108–109, 111

Strategic work

, 111

Strategizing

, 111

Structural capital

, 14–15, 42

Summation

, 91

Tacit knowledge

, 8, 10, 42, 160

Tangible assets

, 4

Target language

, 74

Techne

, 8

Technical artifacts

, 147

Technology context

, 185–186

Technology domain

, 183

Technology stakeholders

, 219

Technology-organization environment framework

, 185

Text messaging

, 124

Touch-tone interaction

, 200–201

Toyota Production System

, 92, 95

Toyota Way, The

, 94

Traditional medicine practitioners

, 177

Transcription domain

, 225

Transferable skills

, 71

Transformation

, 51

Translation competence

, 74–75

Translation component

, 50

Translator

, 73–74, 76

Transparent regulation

, 259

Transportation environment, designing safety in

, 234–235

Transportation safety

, 231

business case review

, 242

domain

, 232–234

ecosystem

, 234–236

flows internal to safe environment design

, 239–240

key actors

, 236–237

knowledge basics

, 239–240

knowledge flows across levels of ecosystem

, 238–239

knowledge structures

, 236

knowledge translation

, 240–242

at macro level

, 238–239

Trust competence

, 80

Unknown–knowns

, 112

Vehicle-to-infrastructure flows

, 240

Vehicular network flows

, 240

Velocity

, 48

Video conferencing

, 124

Virtual reality (VR)

, 101

Visual articulation

, 51

Wild uncertainty

, 110

Women of childbearing age

, 175

Women’s reproductive health

, 169

business case review

, 180

domain overview

, 170

key actors

, 174–178

key components from knowledge perspective

, 170–174

knowledge basics

, 174

knowledge translation in

, 178–179

Women’s rights

, 178