Index

HRM 4.0 For Human-Centered Organizations

ISBN: 978-1-78973-536-9, eISBN: 978-1-78973-535-2

ISSN: 1877-6361

Publication date: 11 November 2019

This content is currently only available as a PDF

Citation

(2019), "Index", HRM 4.0 For Human-Centered Organizations (Advanced Series in Management, Vol. 23), Emerald Publishing Limited, Leeds, pp. 241-246. https://doi.org/10.1108/S1877-636120190000023017

Publisher

:

Emerald Publishing Limited

Copyright © 2020 Emerald Publishing Limited


INDEX

Affective commitment
, 163–164

Airbnb
, 9–12

Artificial Intelligence (AI)
, 201–202

AI enhanced e-HRM
, 22

Big data
, 201–202

Bitcoin
, 117–118

Blockchain
, 117–118

business applications of
, 128–131

DLT applications
, 128–129

in financial exchanges
, 129

global logistics or supply chain tracking
, 129

registration of real estate titles or land property records
, 128–129

for HRM purposes
, 118

creating identity registry
, 130–131

credential verification
, 129

diffusion of innovations (DOI) theory
, 124–127, 125–128

employee assistance programs
, 130

incident logging and reporting
, 129–130

investments in
, 129

optimistic view
, 131–132

pessimistic view
, 131

working of
, 119–124

cryptographic security
, 120–121

decentralization
, 119

energy consumption of network
, 122, 123

immutability
, 121–122

inefficiencies
, 122–124

tampering, effect of
, 121

time required to add blocks to network
, 123

transparency
, 119–120

BMW
, 10–12

Business Analytics (BA) Capabilities in HRM
, 142

explorative single case study
, 147–148

Analytical Practices and Processes BA Capability Area
, 152

case organization
, 148

Culture BA Capability Area
, 154

enablers and mechanisms
, 155

Governance BA Capability Area
, 151

HR Analytics initiatives
, 149–156

People BA Capability Area
, 153

Technology BA Capability Area
, 150

theoretical background
, 142–147

clusters of BA Capability areas
, 143

enablers and mechanisms of synergy
, 145–146

strategic benefits and transactional benefits
, 147

as sub systems within an organization
, 147

synergistic interactions, effects of
, 143–145

synergistic outcomes
, 146–147

systems theory perspective
, 143

Chamber of Commerce (KvK)
, 3–4

Communicative bubble
, 12, 15

Confederation of Netherlands industry and employers (VNO-NCW)
, 3–4

Crypto-currencies
, 117–118

Cybersecurity
, 9–10

Deliveroo
, 81–82

Diffusion of innovations (DOI)
, 118, 124–127, 125–128

Digital business strategy theory
, 25

Digital HRM
, 101

Digitalization
, 43

benefits of
, 99–100

HR professionals and
, 44

organization’s perspective
, 43

of work processes

theoretical framework and hypotheses
, 163–165

Digitalized talent management, HRM’s role in
, 100

Digital technologies
, 162

Digital transformation
, 201–202

Digital workplaces
, 164–165

Digitization of work practices
, 21–22

Digitized
, 8–9, 12–13

Distributed ledger technology (DLT)
, 117–118

Dutch employers’ organization for the technology industry (FME)
, 3–4

Dynamic capabilities theory (DCT)
, 22–26

e-Compensation
, 213

E-leadership
, 207–208

Electronic human resource management (eHRM)
, 82–83, 101, 201–202

cloud-based
, 101

competitive positioning of TM IT in
, 101

framework for categorizing
, 83–84

impact on “human variable” within organizations, study of

methodology and research question
, 206

role of social media
, 206–213

relational
, 83–84

social
, 84–86

study of role in organizational structures

case study. See Reply S.p.A.

research method
, 68–69

research questions
, 68

talent management information technology (TM IT) development
, 102

appropriation and alignment approaches
, 103–105, 111

context at PSF
, 106–111

conversationalist role
, 109, 111

justifier role
, 109

limitations
, 113

qualitative case study of
, 105–107

role of human resource (HR) managers
, 102–103

social constructionist view
, 103–105

Employees’ digital behaviors–organizational dynamics relationship, analysis of

data collection
, 165–166

digital work behaviors, defining
, 167

discussion
, 170–173

employees’ characteristics and attitudes
, 166

findings and correlations
, 168, 169–170

research design
, 165–168

theoretical framework and hypotheses
, 163–165

Ethereum
, 119

E-Training
, 212

Evidence-based HRM
, 162

Fiverr
, 81–82, 85–86, 93–94

Fourth industrial revolution
, 2, 14–15, 16–17

Gig platforms
, 82

Gig workers
, 81–82

Gig work services, study of
, 81–82

findings

association between type of task and eHRM offerings
, 94

onboarding training
, 93–94

platform providers and relational eHRM resources
, 90–91

relational eHRM function
, 91–92

relationship between parties
, 91

relationship duration
, 91, 92–93

social eHRM function
, 92–94

future research
, 94–95

limitations of study
, 94

literature review and framework development
, 83–87

research design
, 88–90

platform provider sample and characteristics
, 89

research questions
, 87–88

types of work interactions
, 86–87

use of eHRM
, 83

See also Social eHRM

HelloTech
, 93

Holacracy
, 64

as an organizational structure
, 65

McHugh and Wheeler’s holonic network
, 65

in the context of alternative ways of deconstructing hierarchy
, 66, 67

current state of research
, 66–68

pro- and con-
, 67–68

Holonic enterprise
, 63–64

Holonic model
, 64

foundational references of
, 65–66

Agile Manifesto, principles of
, 65–66

distributed decision-making process
, 66

Holonic systems
, 63–64

HR Analytics
, 141–142

importance of
, 142

HR and line managers
, 44–45

study of reciprocal role of

content analysis of perceived opportunities and risks
, 54

control variables
, 49

correlation analysis
, 52

future research
, 58

HR professional perspectives of HR devolution
, 49, 55–58

measures
, 47–50

participants and procedures
, 46–47, 48

progress in HR devolution
, 55–56

qualitative analysis
, 53–55

quantitative analysis
, 50–52

regression analysis
, 53

transformational e-HRM and
, 34–35

HR devolution
, 42, 44–46

effects on HR professionals
, 44–45

HR digital transformation and
, 45–46

HR managers’ perceptions of
, 44–45

HR professional perspectives of
, 55–58

impact of
, 45–46

line managers’ perception of
, 44–45

relationship between e-HRM adoption and
, 45

HR information technology
, 101

HRM 4.0
, 42

HR professionals
, 42

role played by
, 42

HR transformation
, 21–22

Humanistic management (HuM)
, 202–205, 213–214

people’s involvement in organizations
, 205

principles related to HR
, 204

value-based management and leadership
, 205

Human resource information systems (HRIS)
, 101, 162

Industrial revolution, definition of
, 14–15

Industry 4.0
, 2–3, 8, 15, 16–17, 43–44

as policy-driven innovation discourse
, 15

smart industry vs
, 16

Integrated value chain theory
, 23–26

Internet-based platforms, use of
, 81–82

Internet-of-Things
, 201–202

Job design
, 208–210

Leadership
, 207–208

The Netherlands organization for applied scientific research (TNO)
, 3–4

Normative commitment
, 163–164

Open social eHRM
, 85

Optimization
, 10–12

Organizational behavior and performance, predictors of
, 163–164

Organizational citizenship
, 163–164

Organizational commitment
, 163–164

Organizational culture
, 206–207

Organizational embeddedness
, 163–165

Organizational identification
, 163–164

People Management multidimensional scale
, 49

Personal Learning Environment
, 212–213

Person-organization fit (P-O fit)
, 163–164, 204–205

Porter’s value chain model
, 23, 36

Relational eHRM
, 83–84

attributes for task workers
, 84

Reply S.p.A.
, 69

dynamics of holonic system
, 75

factors enabling holonic model
, 73–75

HRM process
, 74

information system
, 73

organizational culture
, 74–75

success factor of
, 76

organizational structure
, 70–71

coordination and control mechanisms in network
, 71–73

individual coaching and talent development
, 72–73

relationship among nodes
, 72

relationship between center and nodes
, 71

Replyers
, 72

sub-teams
, 73

Reshoring
, 10–12

Resource-based view (RBV)
, 22–23, 141–143, 222

SAP
, 99–100

Security
, 9–10

Self-determination theory (SDT)
, 82–83

Self-organization
, 63–64

Slack
, 85–86

Smart contracts
, 119

Smart HR department and HRM practices
, 43–44

Smart industry
, 2–3

categories
, 12–13

current developments
, 12–13

Dutch report on
, 3–4

expected impacts
, 10–12

experts’ perspective
, 5–12

industry 4.0 vs
, 16

as means to communicate sense of importance
, 12

in the Netherlands
, 3–4

notions of alerting industry and competitiveness
, 12

opportunities
, 8–9

as a platform for expressing technology-based developmental streams
, 12–13

preconditions
, 9–10

representation of
, 13–14

as a response to industry 4.0
, 8

value of
, 16

Smart industry, defining

findings
, 5–12

developed codes and categories pertaining
, 11

wording/phrasing and supporting quotes
, 6–7

implications for practice and academia
, 17–18

methodology

data analysis
, 5

participants and procedure
, 4–5

results and limitations
, 16–17

Smart working (SW)
, 177–178, 179

research papers, analysis of
, 180–190

conclusions and future perspectives
, 196–197

definitions of SW
, 192–195

distribution of publications
, 190, 191

final list of selected papers
, 188–189

frequency of contributions
, 182, 184

general indications
, 190–191

limitations of research
, 196

most active countries in SW literature
, 183, 185–186

principal and recurring themes related to SW
, 195–196

results
, 190–196

typology of papers
, 181, 184, 191

Social eHRM
, 84–86

dimensions

openness
, 85

stratification
, 85

framework for
, 85

internal
, 85–86

open
, 85

specialized
, 85

use of social media
, 85–86

Social media platforms
, 201–202

HR practices and
, 215, 224–225

learning and training
, 212

performance appraisal and compensation
, 213

recruitment and selection
, 210, 211

humanistic management and
, 207–208, 214

job design and
, 208–210

for recruitment purposes in SMEs

case selection
, 227–228

data collection and data analysis procedures
, 228–229

findings and discussion
, 230–234

HR in SMEs context
, 225–226

implications and limitations of study
, 234–235

research method
, 226–227

social media capabilities evaluation
, 232–234

theoretical and empirical background
, 223–226

use of social media
, 231–232

role in spreading organizational culture
, 207

Society for Human Resources Management (SHRM)
, 118

Specialized social eHRM
, 85

Standardization
, 9–10

Strategic e-HRM activities
, 33–34

Strategic management
, 222

Talent identification
, 102

role of HR managers
, 110–111

Talent management information technology (TM IT)
, 99–100, 101–102

at PSF, role of HR managers
, 107–111

Technological innovations
, 99–100

Technology acceptance model (TAM)
, 22–23

Technology Readiness Index
, 47, 48

Transformational e-HRM
, 22–23

competitive advantage
, 25

contribution to sustaining business performance, study of

configuration
, 33–35

consequences
, 35

contexts
, 30–33

data analysis
, 29

data collection
, 29

developing of model linking e-HRM to performance
, 35–36

findings
, 29–36

HR and Line managers and
, 34–35

improved HRM strategic orientation
, 35, 36

interpretative phenomenological analysis (IPA)
, 28–29

“power user” e-HRM configuration
, 34

data/information management approach of
, 28

decentralization and delegation of strategic managerial decision-making
, 23–24

exploratory models
, 26–28

context/contextual factors
, 27

human capital management approach of
, 27

integrated HR system
, 25

integration of organization’s value chain activities
, 24–25

back-end enterprise-wide information system (EIS)
, 24–25

customer relationship management (CRM) system
, 24–25

enterprise resource planning system
, 24–25

product/service design management (PDM) system
, 24–25

supply-chain management (SCM) system
, 24–25

IT context/contextual factors
, 27

as a performance management system (PMS)
, 27–28

strategic use of
, 28

theoretical foundation for
, 23–29

Transformative e-systems
, 23–24

Transformative HRM
, 22–23

Uber
, 10–12

Uber app
, 85

Upwork
, 81–82

Value proposition
, 10–12

Virtual HRM
, 101

Virtual organizations
, 64

WorkMarket
, 81–82, 85–86

Yammer
, 85–86

YourMechanic
, 93

Zappo
, 66