Index
Stress and Well-being at the Strategic Level
ISBN: 978-1-83797-359-0, eISBN: 978-1-83797-358-3
ISSN: 1479-3555
Publication date: 22 November 2023
This content is currently only available as a PDF
Citation
(2023), "Index", Harms, P.D. and Chang, C.-H.(D). (Ed.) Stress and Well-being at the Strategic Level (Research in Occupational Stress and Well Being, Vol. 21), Emerald Publishing Limited, Leeds, pp. 137-140. https://doi.org/10.1108/S1479-355520230000021008
Publisher
:Emerald Publishing Limited
Copyright © 2024 Peter D. Harms and Chu-Hsiang (Daisy) Chang
INDEX
Absenteeism
, 98
Academic journals
, 21
Accelerometer
, 33
Acquisition failure
, 21
Adaptive response
, 3, 5, 11
phased approach to
, 7–9
retrenchment
, 9–11
Affect intensity
, 82, 86–87
Affect Intensity Measure (AIM)
, 90
Allostatic load model of stress
, 5
Ambassadors engage in action taking
, 131–132
Announcement
, 19, 21–22
Apple iWatch
, 33
Artificial neural network models
, 107
Attract and retain workers
, 53–54
Autoencoders
, 108
Automatic question-answering systems
, 107–108
Balanced scorecard
, 30
Behavioral theory of the firm (BTF)
, 84
Bidirectional recurrent neural networks
, 107
Blood pressure
, 32
Boundary management
, 46, 49
theories
, 49–50
Burden of power
, 73–74
Chief Executive Officers (CEOs)
, 66
emotions
, 24, 82
future research directions
, 75–76
loneliness
, 67–69
outcomes
, 74–75
ownership and compensation
, 22
personality
, 23–24
relationships
, 66
role
, 66, 68
theory and hypotheses
, 83–89
Chronic stressors
, 12–13
Cognition
, 22, 86
Cognitive appraisal
, 86
Cognitive complexity
, 83
and impact on risk-performance relationship
, 87–89
Computer technology
, 98
Conscientiousness
, 23
Conservation of resources theory of stress (COR theory of stress)
, 3, 12
theoretical context
, 4–6
COVID-19
, 2
Culture change
, 54–57
Customer satisfaction
, 98
Daily diaries
, 36
Daily energy pulse experiment
, 132–134
“Dark Triad” of leadership traits
, 70
Decision-makers
, 82
Decision-making
, 19, 82
Deductive paradigm
, 100
Deep bidirectional neural networks
, 107
Deep learning models
, 107–108
Deficiency model of loneliness
, 66
Dictionary-based approaches to sentiment analysis
, 103–104
Discovery
, 102–103
Disruptions
, 4
Diversity, equity, and inclusion (DEI)
, 101–102
Divestitures
, 18
Document generation
, 108
Downsizing
, 18
Dynamic capabilities
, 3–4, 12
theoretical context
, 4–6
Efficiency
, 13
Emotional contagion effect
, 27
Emotional dissonance
, 27–28
Emotional labor
, 25, 27–28
Emotions
, 18, 24, 85–86
Empathy
, 70
Employee energy
, 125–127
Employee engagement
, 98
Employee satisfaction
, 98
Employee sentiment
, 98
Employee stress
, 18
Employee surveys
, 98, 131
Energy construct
, 123–125
Environmental stimuli
, 5
Environmental stressors
, 6
Ethnographic study
, 36
Evolutionary fitness
, 3
Exiting
, 10
Exogenous events
, 4
Experimental design
, 36
External shocks
, 2–3, 12
theoretical context
, 4–6
External stressors
, 6
Family sacrifice climates
, 48
Financial assessment
, 29–30
Firm
, 2–3, 5
stress
, 3, 6–7, 12
temporal focus
, 23
Flexible work arrangements
, 50
Galvanic skin response
, 33
Glassdoor. com
, 109
Google
, 97
Google Fitbit
, 33
Gradient boosted trees
, 106
Healthcare industry
, 97
Heart rate variability (HRV)
, 32
Heat flux
, 33
Hewlett-Packard
, 97
Human resources (HR)
, 21–22
professionals
, 96
Individual well-being assessment
, 30–31
Inductive paradigm
, 100–101
Inference
, 108
Initial public offering (IPO)
, 125
Innovating/innovation
, 10–11, 13
Iterative paradigm
, 101–102
Iterative research paradigm
, 97
Ivory tower syndrome
, 72–73
Job anxiety
, 25
Job attitudes
, 97
Job demands–resources theory
, 5
Job involvement
, 98
Job satisfaction
, 98
Latent Dirichlet Allocation
, 104
Leader buy-in
, 50–52
Leader factors impacting decision-making
, 22–25
Leadership
, 35, 66
Leadership Pulse
, 120
employee energy
, 125–127
energy construct
, 123–125
insights
, 120–121
interventions
, 130–134
research topics
, 122–123
specific learning from subsets
, 127–129
Leverage points
, 47
Life satisfaction
, 30
Linguistic Inquiry and Word Count (LIWC)
, 97, 104
Loneliness
, 66–67
burden of power
, 73–74
economic performance and
, 71
individual characteristics
, 70
ivory tower syndrome
, 72–73
loneliness-provoking factors in CEO role
, 69
structural characteristics
, 71–74
Lonely at the top
, 67
Long-term short memory networks
, 107
Loss frame
, 84, 87
Loyalty
, 74
Machiavellianism
, 70
Machine learning (ML)
approaches to sentiment analysis
, 104
training ML models
, 105–106
Machine translation
, 108
Managerial experience
, 22
Marketing
, 52–53
Maximum entropy model
, 106
Measurement
, 103–108, 123
devices
, 32–33
Merger syndrome (see Employee stress)
Mergers and acquisitions (M&A)
, 18–19
announcement
, 21–22
context for change
, 18–19
factors
, 24–25
leader factors impacting decision-making
, 22–25
phases
, 19–20
planning
, 20–21
post-merger integration
, 22
reciprocal interactions of well-being and M&A strategic decisions
, 25–29
Microsoft
, 97
Model deployment and updating
, 106–107
Model testing and validation
, 106
Mutuality
, 74
Naïve Bayes model
, 106
Narcissism
, 24, 70
Neurons
, 107
Neuroticism
, 23
New normal
, 9, 11
On-body technology
, 34
Openness
, 23
Opinion mining
, 96
Organization-level outcomes
, 56–57
Organizational boundary management strategies
, 47–54
Organizational change
, 18
Organizational commitment
, 98
Organizational policy
, 50
Organizational readiness assessment
, 29
Organizational well-being assessment
, 29–30
Perfectionism
, 70
Persevering
, 10
Personal construct theory
, 87
Personality traits
, 22
Pets, plants, and partners (three Ps)
, 46
Phased approach to adaptive responses
, 7–9
Physical health
incorporation of physical health data
, 34
well-being as measure of
, 31–34
Physical signs of stress
, 31–32
Physical stress
, 33
Planning
, 19–21
Post-merger integration (PMI)
, 19
Prior experiences
, 23
Procter & Gamble Company
, 98
Prospect theory
, 83–84
Psychological well-being
, 30
Psychopathy
, 70
Pulse surveys
, 131
Quality of life
, 30
Random forest models
, 105–106
Readiness scorecard
, 29
Reciprocal interactions of well-being and M&A strategic decisions
, 25–29
Recurrent neural networks
, 107
Reflective learning
, 130–131
Resource depletion
, 5
Resource-depleting shocks
, 7
Respect
, 74
Retrenchment
, 3, 8–11
Rigidity
, 70
Risk
, 19
Risk-reward paradigm
, 23
Risk-taking
, 82
SAP
, 97
SAS
, 97
Security and Exchange Commission (SEC)
, 21
Segmentation
, 50
Self-awareness
, 70
Self-confidence
, 70
Self-reported surveys and assessments
, 98
Sentiment analysis
, 96
general research paradigms for text-based sentiment analyses
, 99–102
illustrative examples
, 108–114
for organizational research
, 96–98
recommended analytical procedures for
, 102–108
traditional and modern approaches to
, 98–99
Signaling theory
, 48, 52
Skin conductance response (SCR)
, 32
Skin temperature
, 33
Social adeptness
, 70
Social distance
, 73
Social isolation
, 66
Strategic decision-making
, 19–29
Strategic decisions
, 18
Strategic opportunity
, 57–59
Strategy
, 47
Stress
, 5
physical signs of
, 31–32
state
, 7–9
Structural topic modeling (STM)
, 102
Subjective well-being
, 30
Support vector machines
, 106
Support worker well-being and needs
, 55–56
t-tests
, 109
Talent retention
, 25, 28
Technological shocks
, 2
Text analysis
, 97
Text data
, 97
Text mining
, 97
Text pre-processing and transformation
, 104–105
Text-based sentiment analyses
, 99
deductive paradigm
, 100
general research paradigms for
, 99–102
inductive paradigm
, 100–101
iterative paradigm
, 101–102
Tiredness
, 25
Top management team members (TMT)
, 19, 22
Traditional survey-based sentiment assessment
, 98
Training
, 52–53
Transactional model of stress
, 5, 25
Trust
, 74
Turnover
, 98
Uncertainty
, 19, 25
management theory
, 25
Unprecedented events
, 4
Unpredictable events
, 4
Upper echelons theory (UE theory)
, 82, 84–85
Wearable devices
, 31, 33
Well-being
, 46
as antecedent and outcome
, 27
assessment of
, 29
individual well-being assessment
, 30–31
as measure of physical health
, 31–34
organizational well-being assessment
, 29–30
Wellness
, 123
WHO-5 Well-Being Index
, 29
Wildfires
, 11
Word embedding techniques
, 107–108
Word2Vec model
, 108
Work-to-nonwork
, 46, 49–50
culture change
, 54–57
implications and future directions
, 59–61
organizational boundary management strategies
, 47–54
policies and practices
, 46
strategic opportunity
, 57–59
Work/non-work conflict
, 29
Work–family
, 46
conflicts
, 25, 28–29
cultures
, 48
Workplace culture
, 98
- Prelims
- Firm Stress, Adaptive Responses, and Unpredictable, Resource-depleting External Shocks: Leveraging Conservation of Resources Theory and Dynamic Capabilities
- The Reciprocal Relationship Between M&A Strategic Decision-making and Well-being
- Work–Nonwork Policies and Practices: The Strategic Opportunity to Consider Organizational Boundary Management Strategies
- Publicly Invulnerable, Privately Lonely: How the Unique Individual and Structural Characteristics of Their Organizational Role Contribute to CEO Loneliness
- Cracking the CEO's Brain on Risk: Exploring the Interplay between CEO Cognition and Affect Intensity in Organizational Decision-making and its Outcomes
- Sentiment Analysis for Organizational Research
- Leader Energy Driving Personal and Firm-level Wellness: Lessons from 20 Years of the Leadership Pulse
- Index