Index

Advances in Mergers and Acquisitions

ISBN: 978-1-80071-724-4, eISBN: 978-1-80071-723-7

ISSN: 1479-361X

Publication date: 14 September 2022

This content is currently only available as a PDF

Citation

(2022), "Index", Finkelstein, S. and Cooper, C.L. (Ed.) Advances in Mergers and Acquisitions (Advances in Mergers and Acquisitions, Vol. 21), Emerald Publishing Limited, Leeds, pp. 149-152. https://doi.org/10.1108/S1479-361X20220000021008

Publisher

:

Emerald Publishing Limited

Copyright © 2022 Emerald Publishing Limited


INDEX

Abandonment
, 22

Accountants
, 66

Accounting performance
, 133

Acquirer–investment bank relationship
, 86

acquisition experience in
, 89–91

Acquisition experience
, 86

in acquirer–investment bank relationship formation
, 89–91

contributions to literature
, 112–113

control variables
, 95–99

data and sample
, 93–110

deal size
, 93

dependent variable
, 94

econometric approach
, 100

independent variables
, 94–95

limitation
, 88, 92–93

limitations and future research directions
, 113

results
, 100–110

target’s industry
, 91–92

theoretical development and hypotheses
, 88–93

Acquisition(s)
, 5, 32

announcements
, 22

completion
, 22

firm actions to mitigate inimical resources from
, 19

integration
, 23

outcomes
, 32

performance measures
, 132–133

resource impacts on
, 17–18

Administrative distance
, 64, 67

Advisory services
, 66

Agency theory
, 118–120

Agility
, 54

Apparent sincerity
, 9

Autonomy
, 23

Boundary-spanners
, 2, 4

Boundary-spanning
, 2–3, 5

Bridging function
, 4

Buffering function
, 4

Business model transformation
, 55–56

Busyness hypothesis
, 124

Buy-and-hold-abnormal-returns (BHAR)
, 132

Celebrity
, 124

CEO characteristics
, 118, 121

CEO power
, 118

acquisition performance measures
, 132–133

data preparation
, 125–132

limitations and future research
, 141–142

measures
, 133–134

meta-analytic technique
, 134

methodological implications
, 141

results
, 134–138

theoretical background and hypotheses
, 119–125

theoretical implications
, 138–141

Circular economy
, 52–55

Communication
, 40–41

Completion
, 22

Connectedness
, 3

Country cultural distance
, 37

Country-level cultural relative attributes
, 37

Country-level political affinity and conflicts
, 37

Country-level relative position and strength
, 37–38

COVID-19 pandemic
, 52

Cross-border M&As
, 65–66

acquirer-target country pairs
, 69–72

advisors in
, 69

distance determinants of use of advisors in cross
, 72–77

stylized facts about the of advisors in
, 69–72

Cross-country institutional distance
, 66–68

Cross-legacy boundary-spanners
, 2, 5, 9–10

Cross-legacy boundary-spanning

perks and pitfalls
, 3–5

promoting perks and avoiding pitfalls of
, 6–10

structural and sociocultural factors
, 4

ties
, 6–7

Cultural distance
, 64, 67

Cultural similarity
, 36

Cumulative abnormal returns (CARs)
, 94, 132

Digital transformation
, 53

Distance determinants of use of advisors in cross-border M&As
, 72

acquirer-target pairs
, 77

acquirers
, 72–75

targets
, 76–77

Divestment
, 18, 23

Due diligence
, 21, 57

Dynamic capabilities
, 55–56

Econometric approach
, 100

Education-based prestige
, 124

Equity investments
, 20

Evaluation phase of acquisition
, 20–22

Expert power
, 123–124

Expertise power
, 118

External representation function. See Buffering function

Financial advisor
, 94

Financial distance
, 64, 67–68

Firms
, 19, 24

resources
, 17–18

Fixed-effects model
, 134

Flexibility
, 54

Future of Manufacturing
, 57

Geographic proximity and overlap
, 35

Hiring advisors
, 21

Hubris hypothesis
, 120, 124

Identification with post-merger organization
, 8–9

Industry 4.0 (I4.0)
, 53

strategy
, 53–55

Information processing function. See Bridging function

Inimical resources
, 18

completion or abandonment
, 22

evaluation phase
, 20–22

insights
, 24–25

integration
, 23

and risk across acquisition phases
, 19–23

Initial public offering (IPO)
, 20

Institutional distance
, 64–65

importance
, 65–66

Integration
, 23

Inter-organizational relationship
, 88

Intermediaries
, 86

Internal connectedness
, 7

Interpersonal influence
, 9

Investment banks (IB)
, 66, 86, 94

background literature on investment banks as intermediary advisor
, 88–89

Knowledge relatedness
, 34–35

Knowledge transfer
, 41

Law firms
, 66

Liability of foreignness (LOF)
, 65

Long-term stock market performance
, 132

Media-based prestige
, 124

Mergers and acquisitions (M&As)
, 2, 10, 32, 52, 55, 64, 117, 119

activities
, 52

advisors
, 64–65

business model transformation and dynamic capabilities
, 55–56

cross-border M&As and importance of institutional distance
, 65–66

cross-country institutional distance and use of advisors
, 66–68

data
, 68

distance determinants of use of advisors in cross-border M&As
, 72–77

results
, 69–77

SIDMPs
, 55–58

stylized facts about the of advisors in cross-border M&As
, 69–72

synergy between I4. 0 and circular economy
, 53–55

waves
, 53

Meta-analysis
, 118

Meta-analytic technique
, 134

Negotiations
, 21–22, 40–41

Networking ability
, 9

“Not-invented-here” syndrome
, 7

Organizational identification
, 3, 8

Ownership power
, 118, 122–123

Political distance
, 64, 68

Political skill
, 3, 9–10

Porter-hypothesis type
, 52

Post-deal integration
, 66

Post-merger integration
, 2–4

cross-legacy boundary in
, 5

Post-merger network reconfiguration
, 2

Post-merger organization, identification with
, 8–9

Pre-deal completion
, 66

Pre-decision control mechanisms
, 56

Prestige power
, 118, 124–125

Random-effect psychometric meta-analysis method
, 134

Reconfiguring
, 55–56

Relative position and strength
, 36

Reputation of investment banks
, 88

Resilience
, 54

Resource complementarity
, 35–36

Resource orchestration
, 52

Resource-based view (RBV)
, 120

Return on assets (ROA)
, 133

Security Data Corporation (SDC)
, 94, 126

Seizing
, 55–56

Self-categorization theory
, 8

Sensing
, 55–56

Short-term stock market performance
, 132

SIDMPs
, 55–58

Signal theory
, 120

Social astuteness
, 9

Social capital
, 4

Social identity theory
, 8

Social networks
, 5

Specialized experts
, 66

Standard and Poor (S&P)
, 94

Statistical aggregation techniques
, 134

Stewardship theory
, 118–120

Structural power
, 118, 121–122

Supply chains
, 52

Synergy between I4.0 and circular economy
, 53–55

Target evaluation
, 18

Target retention
, 40

Target signaling
, 20

Target–acquirer interrelationships
, 32–33

CEOs
, 43

connections
, 38–40

environmental level
, 37–38

individual and group levels
, 34, 38, 40

interactions
, 40–41

organizational level
, 34–36, 39–41

relative attributes
, 33–38

synthesis and future directions
, 41–45

Temporal power
, 125

TMZ
, 24

Top-tier advisors
, 88

Trust building
, 41

UK supply chains
, 52

US acquirers
, 86

Variables
, 82–83

Variance inflation factor (VIF)
, 72

Venture capital (VC)
, 38

Wharton Research Data Services (WRDS)
, 94

Within-legacy connectedness
, 7

of boundary-spanner
, 3

Work-based prestige
, 124