Index
Applications of Management Science
ISBN: 978-1-80071-552-3, eISBN: 978-1-80071-551-6
ISSN: 0276-8976
Publication date: 8 August 2022
This content is currently only available as a PDF
Citation
(2022), "Index", Lawrence, K.D. and Pai, D.R. (Ed.) Applications of Management Science (Applications of Management Science, Vol. 21), Emerald Publishing Limited, Leeds, pp. 165-170. https://doi.org/10.1108/S0276-897620220000021012
Publisher
:Emerald Publishing Limited
Copyright © 2022 by Emerald Publishing Limited
INDEX
Abstraction
, 152–153
Additive DEA model
, 51
Administrative fraud
basic flow chart
, 133
case analysis
, 145–148
case example
, 142–145
customer modeling
, 136–137
design of experiment
, 140–142
experiment model
, 133–135
fraud modeling and associated costs
, 143–145
investigation process
, 138–139
limitations and extensions
, 148–149
literature review
, 131–133
methodology
, 133–142
model and settings
, 136–140
other model assumptions
, 140
proposed model scenarios
, 133–135
remanufactured product and warranty service
, 142–143
results
, 145–149
sensor behavior assumptions
, 139–140
service agent modeling
, 137–138
Alpha measures
, 16
Alternative strategy
, 102–103
Altman five-factor model
, 91, 93
Amazon
, 102
American Funds American Mutual A
, 17–18
American Funds New World A
, 17–18
AmericanHealth
, 47
Analytic Solver®
, 8
Analytics
, 151
problem-solving skills
, 152–153
Anti-crisis management
, 92
Apparel companies
, 30
Artificial intelligence development diagnostic
, 92
Assessment of company’s information potential
, 92
Associated costs, fraud modeling and
, 143–145
Association for Business Simulation and Experiential Learning (ABSEL)
, 153
Auditing process assumptions
, 138–139
Beaver’s model
, 91
Benchmark setting
, 109–111
BlackRock LifePathÒ Index Retire K
, 17–18
BlackRock Technology Opportunities Instl.
, 17–18
Bootstrapped Tobit Regression
, 30
Bundling
, 104, 112, 115
Business analysis of cosmetic industry
, 29
Business analytics (BA)
, 151, 159
Business diagnostics
, 88
original methodology of
, 89
tools
, 89
Business frauds
, 131
Business Units
, 73
Capital efficiency ratio
, 31–32
Capital efficiency/intensity ratio (CIR)
, 30–31
Capital productivity
, 31–32
Charnes, Cooper and Rhodes DEA model (CCR DEA model)
, 40–42, 50–51
Circular recursive process
, 102
Climate models
, 67–68
CO2 emission, reduction in
, 82
Color cosmetics
, 27–28
Comprehensive business diagnostics
, 95–96
factors’ influence on profitability
, 96
factors’ influence on return
, 95
methods
, 90–92
multiloop model of
, 89–90
Pavlovo Posad Shawl Manufactory, JSC
, 94
results
, 92–95
two-factor model
, 96
Comprehensive diagnostics loop (CD loop)
, 91–92
Constant returns to scale (CRS)
, 31
Consumer Product Goods (CPG)
, 156
Corrective maintenance strategy
, 136
Cosmetic industry
, 27–28
COVID-19 impact on
, 28
data and methodology
, 31–33
empirical results
, 33–37
model
, 30–31
previous studies
, 29–30
Cost saving from recycling
, 81
COVID-19 impact on cosmetic industry
, 28
Craft Beer League (CBL)
, 152, 154–155
bringing game to classroom
, 156–159
Credit Karma
, 102
Customer
, 130–131
claims
, 136
fraud
, 137
modeling
, 136–137
network
, 73
side
, 106–107
Data envelopment analysis (DEA)
, 3–4, 15–16, 29–30, 40, 42, 50–51
analysis
, 7–9
change in net written premium
, 6
change in policyholder surplus
, 7
data description
, 4–7
DEA process and US Pharmaceutical Industry
, 51
efficiency and financial status comparison
, 9
model description
, 7–8
model explicit description
, 8
model symbolic description
, 8–9
NWP-to-PHS Ratio
, 6
overall industry
, 4–5
relative efficiency results
, 9
runs for PPO health insurance
, 42–44
selected company ratios
, 5–7
Days in inventory ratio (DIO)
, 31–32
Debt management
, 29
Decision-making unit (DMU)
, 30, 40, 50
Demanufacturing cost
, 81
Design for Assembly (DfA)
, 74–76
Design for Disassembly (DfD)
, 74–76
Design for Environment (DfE)
, 74, 76–77
Design of experiment
, 140–142
Developer side. See Seller side
Development
, 73, 152–153
Discrete event simulation
, 132–133, 144–145
E-tailer
, 29–30
Earnings before interest, taxes, depreciation, and amortization (EBITDA)
, 30–32
Eco-material selection
, 80
Ecology
, 67–68
Economic crisis
, 3–4
Economic instability
, 88
Economic modeling
, 93
Education Testing Service (ETS)
, 152
Efficiency of unit
, 8
End-of-life (EOL)
, 129–130
example for spring
, 81
Energy saving from recycling
, 81–82
Enterprise development
, 89
Environmental Protection Agency (EPA)
, 76–77
Environmental protection legislation
, 74–76
Environmentally Conscious Manufacturing and Product Recovery (ECMPRO)
, 131
Environmentally conscious manufacturing and product recovery techniques (ECMPRO)
, 130
Excel®
, 8
Execution
, 152–153
Exergy
, 74
Experiential learning (EL)
, 152–153
application results
, 159–161
background
, 152–154
CBL
, 155
gamification
, 154–159
Express diagnostics loop (ED loop)
, 90–92
of Pavlovo Posad Shawl Manufactory, JSC
, 93
Facebook
, 102
Fantasy games
, 154–155
FidelityÒ Select Health Care
, 17–18
Financial frauds
, 131
Financial instability
, 88
Financial status and efficiency comparison
, 9
5-star Morningstar mutual fund rating
, 14–15
Five forces
, 29
Five-star mutual funds
, 14
Flow chart
, 133
Forecasting techniques
, 154
Four-factor model
, 95
Fraud mitigating scenario
, 135
Fraud modeling and associated costs
, 143–145
Functionality problems
, 136
Gamification
, 154–159
General diagnostics loop (GD loop)
, 91–93
Generalized Nash Bargaining Game (GNB)
, 108
Generalized optimization methodology
, 30
Geothermal energy
, 57
analysis of potential scenarios
, 64–65
basic data used in analysis
, 59–60
data used in model
, 62
geothermal energy in Podhale region and actual plan of application
, 58–59
geothermal heating systems
, 59
heat receivers
, 59
mathematical model
, 63–64
in Podhale region
, 57–58
problem formulation
, 61–62
Geothermal heating systems
, 59
Global warming
, 74
“Gold medal” mutual funds
, 14
data
, 16–17
empirical analysis
, 17–25
literature review
, 14–15
model
, 15–16
peers for inefficient mutual funds
, 20–21
slack variables
, 22, 24
Google
, 102
Greenhouse gas emission (GHG emission)
, 69, 72–74, 76
Gross domestic product (GDP)
, 28
Growing digitalization diagnostic
, 92
Heat consumer types
, 59
Heat receivers
, 59
HEDIS (measurement system)
, 39
Helical spring, sustainable design equation development for
, 77–82
minimize total embodied energy
, 78–80
Hollywood membership
, 102
Human well-being
, 67–68
Human-Environment Systems
, 68
Individual businesses
, 88
Individual consumers
, 59
Information
, 88
Input-oriented DEA model
, 30
Insurance frauds
, 131
Insurance Regulatory Information System (IRIS)
, 4–5
Internet of things
, 132–133
Investigation process
, 138–139
Investments
, 29
Investors
, 14
iQIYI
, 102
iShares S&P 500 Index K
, 17–18
Joint membership
, 102–103
JPMorgan Equity Income I
, 17–18
Large-scale consumers
, 59
Lees’s model
, 91, 93–94
Life cycle Analysis (LCA)
, 76–77
Life cycle cost (LCC) calculation of helical spring
, 80–81
Linear programming (LP)
, 3–4, 7–8, 41, 50–51
Liss’s model
, 91
Major League Baseball
, 154–155
Malmquist Productivity Index (MPI)
, 30
Management
anti-crisis management
, 92
decisions
, 88
SME
, 97
Material selection model (MSE)
, 78
Mathematical modeling
, 93
Mathematical programming techniques
, 68
Medium-scale consumers
, 59
Microsoft Excel program
, 90
Min-max optimization model
, 80
Modern society
, 88
Modern technologies
, 57
Morningstar rating system
, 14
Motivation
, 137
Multi-fraud scenario
, 135
Multiloop business diagnostics model
, 96
Multiloop model
comprehensive business diagnostics
, 89–90, 95–96
main methods and results of
, 91
Mutual fund ratings
, 13–15
Nash bargaining game
, 109
Nash equilibrium
, 132–133
Natura &Co Holding S. A.
, 35
Negative data in data envelopment analysis
data envelopment analysis
, 50–51
DEA process and US Pharmaceutical Industry
, 51
pharmaceutical industry in United States
, 49
results of DEA analysis
, 52
Net Written Premium (NWP)
, 5
change in
, 6
Net Written Premium to Policyholder Surplus Ratio (NWP-to-PHS Ratio)
, 6
New Jersey PPO Health Insurance Industry
data envelopment analysis
, 40–42
DEA runs for PPO health insurance
, 42–44
results
, 47
“One size fits all” methodology
, 132–133
Opportunity
, 137
Optimal bundling strategy
, 104–105
Optimal pricing
, 103
Optimal solution
, 65
Optimization
problem
, 68
techniques
, 77
Optimization of geothermal energy
analysis of potential scenarios
, 64–65
basic data used in analysis
, 59–60
data used in model
, 62
geothermal energy in Podhale region and actual plan of application
, 58–59
geothermal heating systems
, 59
heat receivers
, 59
mathematical model
, 63–64
in Podhale region
, 57–58
problem formulation
, 61–62
Pavlovo Posad Shawl Manufactory
, 92
People, planet, and profit (3 PS)
, 69–70
profit vs. sustainability
, 70
Performance index
, 79
Performance index for environmental impact
, 82
PEST analysis
, 91–92
Pharmaceutical industry in United States
, 49
Platform businesses
, 102
Platform economy development
, 102
Platform memberships under horizontal cooperation
benchmark setting
, 109–111
bundling
, 112–115
customer side
, 106–107
literature review
, 104–105
model analysis
, 109–115
notation
, 106
numerical research
, 115–119
platform pricing analysis
, 116–118
platform strategy analysis
, 118–119
platforms
, 108–109
problem description and model
, 105–109
seller side
, 107
Platform pricing analysis
, 116–118
Platform strategy analysis
, 118–119
Podhale region, geothermal energy in
, 58–59
Policyholder Surplus (PHS)
, 5
change in
, 7
Porter’s value chain
, 29
PPO health insurance industry
, 39–40
DEA runs for
, 42–44
Pricing analysis, platform
, 116–118
Pricing strategies
, 105
Probability of random inspection
, 143–144
Problem-solving skills
, 152–153
Productivity in New Jersey PPO health insurance
data envelopment analysis
, 40–42
DEA runs for PPO health insurance
, 42–44
results
, 47
Productivity loss
, 133
Profit equation
, 71
Profitability
, 74–76
Program for the International Assessment of Adult Competencies Survey (PIAAC Survey)
, 152
Qualitative indicators
, 92
Realization
, 152–153
Recycling
cost saving from
, 81
energy saving from
, 81–82
Regular systems (RS)
, 140
Relative efficiency results
, 9
Remanufactured product and warranty service
, 142–143
Return merchandise authorization (RMA)
, 130–131
Return on assets (ROA)
, 30–32
Revlon, Inc.
, 34
Saifullin and Kadykov’s model
, 91, 93–94
SchwabÒ S&P 500 Index
, 17–18
“Science of sustainability”
, 67–68
Secondary inspection assumptions
, 139
Selection
, 152–153
Seller side
, 107
Sensor behavior assumptions
, 139–140
Sensor embedded product (SEP)
, 141
Service agent (SA)
, 130–131
claim assumptions
, 137–138
fraud modeling
, 138
maintenance operations
, 138
modeling
, 137–138
Service channel
, 130–131
Sharpe ratio
, 16, 19
Shear stress equation
, 77
Skrynkovskyy’s approach
, 97
Small and medium-sized enterprises (SMEs)
, 89
management
, 97
Social networking
, 102
Society
, 67–68
Springate model
, 91
Stiftung Warentest fund rating system
, 14–15
Stochastic optimization
, 72–73
Strategy
, 102–103
platform Strategy analysis
, 118–119
Students’ problem-solving skills
, 152
Superficial problems
, 136
Supplier Network
, 73
Survey of Adult Skills. See Program for the International Assessment of Adult Competencies Survey (PIAAC Survey)
Sustainability
, 74, 76, 130
equation
, 72
index
, 67–68
models
, 67–68
profit vs.
, 70
social, economic, environment, and sustainable
, 71
Sustainable design equation development for helical spring
, 77–82
Sustainable development
, 68, 72
basic measurement metrics for
, 74
SWOT analysis
, 29, 91–92
Taffler-Tishaw model
, 91, 93
Teradata University Network (TUN)
, 154
Top Management Team
, 73
Total cost (TC)
, 69–70
Total embodied energy (TE)
, 78
cost saving from recycling
, 81
eco-material selection
, 80
end-of-life example for spring
, 81
energy saving from recycling
, 81–82
LCC calculation of helical spring
, 80–81
minimize
, 78–80
reduction in CO2 emission
, 82
water saving
, 82
Total return (TR)
, 69–71
Traditional two-sided platform
, 102
Twitter
, 102
Two-sided market
, 102–104
Uber
, 102
United States (US)
, 152
DEA process and US Pharmaceutical Industry
, 51
pharmaceutical industry in
, 49
Vanguard Institutional Index I
, 17–18
Vanguard International Growth Inv.
, 17–18
Vanguard Mid Cap Index Institutional
, 17–18
Vanguard Tax-Managed Capital App I
, 17–18
Vanguard WellesleyÒ Income Inv.
, 17–18
Variable cost
, 71
Variable returns to scale (VRS)
, 31
Vehicle Recycling Partnership (VRR)
, 74–76
“Virtual revolution”
, 27–28
VY
®
T. Rowe Price Capital Apprec S
, 17–18
Warranty administrator (WA)
, 130–131
claims
, 137
fraud assumptions
, 137
modeling
, 137
Warranty fraud
, 131
Warranty Provider (WP)
, 130–131
Warranty service
chain
, 130–131
investigation process
, 141
remanufactured product and
, 142–143
warranty servicing with claim validation
, 134
Waste management
, 129–130
Water saving
, 82
- Prelims
- Section A Data Envelopment Analysis
- Insurance Company Efficiency Analysis Through Data Envelopment Analysis (DEA) During COVID-19 Pandemic
- Are All Gold Medal Mutual Funds Equally Efficient?
- COVID-19 and Performance of Cosmetics Companies
- Productivity in the New Jersey PPO Health Insurance Industry, 2018
- Negative Data in Data Envelopment Analysis (DEA)
- Section B Optimization Modeling
- Optimization of the Geothermal Energy for District Heating in the Polish Tatras Region: A Case Study
- Profitability, Sustainability, and Product Development
- Section C Business Analytical Modeling
- Comprehensive Business Diagnostics of a Company's Activities
- Optimal Bundling of Platform Memberships Under Horizontal Cooperation
- Mitigating Administrative Fraud in Warranty Service for Remanufactured Products
- Experiential Learning Exercise in an Analytics Class
- Index