Index

N. Muthukumar Dr (Automotive Axles Limited, India)
K. Ganesh Dr (McKinsey & Company, India)
Sanjay Mohapatra Dr (Xavier Institute of Management, India)
K. Tamizhjyothi Dr (Annamalai University, India)
R. M. Nachiappan Dr (Annamalai University, India)
M. Bharati Dr (Veer Surendra Sai University of Technology, India)

Organizational Culture and Its Impact on Continuous Improvement in Manufacturing

ISBN: 978-1-80262-404-5, eISBN: 978-1-80262-403-8

Publication date: 26 January 2022

This content is currently only available as a PDF

Citation

Muthukumar, N., Ganesh, K., Mohapatra, S., Tamizhjyothi, K., Nachiappan, R.M. and Bharati, M. (2022), "Index", Organizational Culture and Its Impact on Continuous Improvement in Manufacturing, Emerald Publishing Limited, Leeds, pp. 207-212. https://doi.org/10.1108/978-1-80262-403-820221008

Publisher

:

Emerald Publishing Limited

Copyright © 2022 N. Muthukumar, K. Ganesh, Sanjay Mohapatra, K. Tamizhjyothi, R. M. Nachiappan and M. Bharati. Published under exclusive licence by Emerald Publishing Limited


INDEX

Achievement culture
, 20

Adhocracy

adhocracy/development culture
, 19–20

culture
, 36

Analysis of manufacturing operation

CI tool TQM with CPIs
, 121–128

CI tools selection process
, 65–66

factor analysis
, 71–72

hypothesis testing
, 152–157

and interpretation
, 65, 74, 119, 121, 152

manufacturing companies culture
, 75–81

phase 1
, 67–69

phase 2
, 70–72

regression analysis inference of with IFs
, 153–156

relation between CI tools with CPIs
, 157–158

selected CI tools
, 74

Analysis of variance (ANOVA)
, 48, 83, 95

influence of employee strength in manufacturing companies
, 92–93

influence of gender of respondent in manufacturing companies
, 91

influence of respondent experience in manufacturing companies
, 88–89

influence of turnover of manufacturing companies
, 90

influence of types of manufacturing companies
, 84–87

Analytical hierarchical process (AHP)
, 70

Anticipating customer needs (ACN)
, 25, 121, 130, 135, 145

Attitude, Behaviour, Culture principle (ABC principle)
, 164, 166, 169

Availability of process/machine (AP)
, 54–55, 130

Awarded manufacturing companies
, 81–83

partial correlation analysis
, 96–107

respondent behaviour characteristics in
, 95

Behaviours
, 14–15

Brochrasy theory
, 20

Bureaucratic culture
, 34–35

Change scale
, 51

Chi-square test
, 75, 77–78

Chief Executive Officers (CEO)
, 40–41, 44

Clan culture
, 35–36

Clan/Group culture
, 20

Clarifying policies (CP)
, 27, 145

CLP. See Clarifying policies (CP)

Cohesion (COH)
, 24–25, 145

Collaboration planning (CP)
, 56, 145

Commitment of top management (CTM)
, 52–53, 121, 123

Community culture
, 34–35

Competing values framework (CVF)
, 18–19, 21, 35–36

Competitive culture
, 34–35

Concurrent engineering (CE)
, 72

Confederation of Indian Industry (CII)
, 11–12

award for business excellence
, 11–12

benefits of awardees
, 12

CII-EXIM
, 11–12

list of awarded companies
, 13

Confidence interval (CI)
, 57–58

Configuration model
, 16

Consumer
, 1

Continuous improvement (CI)
, 4–5, 54, 121, 123–124

basic analysis for CI Tool SCM with CPIs
, 145–150

descriptive statistics for CPIs
, 124–128

descriptive statistics for IFs
, 122–124

developed conceptual model
, 170

effects on culture development
, 165

impacts on CPIs
, 167

implementing
, 33

in manufacturing
, 66

relation between CI tools with CPIs
, 157–158

relationship of CI tools and PE
, 67

relationship of OC with CI tools and performance
, 37–40

selection
, 65–66, 74

statistical analysis
, 128–152

survey
, 67

tools
, 43–45, 52, 159

TQM
, 37–40

TQM with CPIs
, 121–128

Venn diagram for significance of CPIs with
, 168

Continuous quality improvement/total quality management (CQI/TQM)
, 38

Controlling (CON)
, 27, 135

Corporate procedures
, 119

Correlation
, 48–49

analysis
, 128–129, 139, 150

coefficients
, 48–49

Cost (C)
, 1, 22–23

equation
, 2

Cost-based pricing. See Product pricing

Creativity
, 6, 117, 119

Cronbach’s alpha coefficients
, 61

Cultural performance indicators (CPIs)
, 24, 27, 46, 65, 121

CI tool TQM with
, 121–128

descriptive statistics for
, 124, 128, 137–138

impact of IFs and CPIs testing by t-test
, 129, 139–140, 150–151

relation between CI tools with CPIs
, 157–158

Culture. See also Hierarchic(al) culture
, 12–13, 33–34, 65, 159

CI tools effects on culture development
, 165

level of presence of cultures in awarded and non-awarded companies
, 163

manufacturing companies
, 75–81

organizational
, 14–21

types
, 34

Customer
, 3–4

involvement
, 53

requirements
, 4–5

Customer requirement adherence (CRA)
, 55, 130

Degree of quality improvement implementation
, 38

Delivery (D)
, 23–24

Demographic variables
, 160

Descriptive statistics

for CPIs
, 124, 128, 137–138, 148, 150

for IFs
, 122, 124, 135, 137, 146, 148

Developing people (DEP)
, 25, 145

Development(al) culture
, 38–39, 99, 102, 161

Earnings
, 27

Economic production system
, 1

Efficiency
, 22

Emotional intelligence
, 95

Emphasizing speed (ES)
, 26, 135

Employee Behaviour
, 95

Employee empowerment (EE)
, 55, 130

Employee strength in participated manufacturing company
, 80–81

Encouraging participation (EP)
, 25, 121, 135, 145

Environment (E)
, 24

culture
, 14–16

Environment management system (EMS)
, 72

Environmental perception
, 15–16

Expecting accurate work (EAW)
, 27, 121

Exponential changes
, 119

External orientation
, 18

Externally oriented organizational culture
, 35

Factor analysis
, 70–72

Financial performance
, 22

Five-point Likert scale
, 51

Flexibility (F)
, 23

Focus of customer (FC)
, 53, 121, 123, 130

Focusing on competition with competitiveness (FOCC)
, 26, 121, 135, 145

Focusing on competition with overall economic performance (FOCE)
, 26, 121, 135, 145

Formal rules (FR)
, 27, 135, 145

Fujio Cho (chief engineer of Toyota Corporation)
, 3–4

Global Excellence Model Council (GEM Council)
, 5–6

assessment criteria
, 6

awards assessment process
, 6

about organization
, 5–6

timeline for award
, 6, 12

worldwide manufacturing/business excellence awards
, 7–11

Globalization
, 5

impact of
, 1

need for study
, 27–28

Group culture
, 38–39, 99, 102

orientation
, 38–39

type
, 83, 91, 161

Hard Work ethic
, 27

Hierarchic(al) culture. See also Organizational culture (OC)
, 21, 35–36

in awarded and non-awarded manufacturing companies
, 118, 120

hierarchical/stable culture
, 20

mean at all levels for
, 115

t-test for
, 117

type for awarded companies
, 91, 94, 111, 161–162

Human management
, 164

Human resource orientation
, 18

Hypothesis

for evaluation
, 46

testing
, 45, 107, 109, 152, 157

Imperative factors (IFs)
, 45–46, 52–53, 65, 121, 129

descriptive statistics for
, 122, 124, 135, 137

impact of IFs and CPIs testing by t-test
, 129, 139–140

Improvement orientation
, 18

Incremental efforts
, 119

Indian manufacturing

companies
, 43–44

industries
, 164–166

Individual behaviours
, 14–15

Individual work
, 34

Informal rules
, 27

Information driven globalization
, 5

Initiating significant change (ISC)
, 25–26, 135

Innovation (I)
, 22, 26, 135

Inspiring people to exceed expectations (IPEE)
, 26, 121

Integrated customer relationship planning (ICR)
, 56, 145

Inter organizational communication (IOC)
, 56, 145

Interdepartmental coordination
, 18

Inventory strategy (IS)
, 55, 130

Item analysis
, 48

Item to Total Correlation
, 48

IVN. See Innovation (I)

Japan Institute of Planned Maintenance (JIPM)
, 67

Leadership
, 164

Lean management
, 5

Lean manufacturing (LM)
, 74

Level scale
, 51

Likert scale
, 51

Linear regression test
, 49

Literature review of manufacturing operation

existing research model
, 40

implementing CI tools
, 33

literature on organizational culture and linkages to organizational success
, 33–40

problem observations and research gaps
, 40–41

Locus of Control
, 95

Management
, 34

system
, 14–15

Management of Human Resources (MHR)
, 54, 121, 123–124

Manufacturing
, 1–3

and components
, 3

Manufacturing companies culture
, 75–81

employee strength in each of participated manufacturing company
, 80–81

experience levels of respondents
, 78

gender category of respondents
, 78–80

location of manufacturing companies participated for survey
, 75

statistical analysis
, 81–109

turnover of manufacturing companies participated for survey
, 75–78

types of manufacturing companies participated for survey
, 75

Market

leadership
, 26–27

market/rational culture
, 20

Market leadership focusing market share (MLMS)
, 26–27, 121

Market leadership with marketing and sales orientation (MLMO)
, 26–27, 121

Mean
, 109–110

at all levels for development culture
, 114

at all levels for group culture
, 112

at all levels for hierarchical culture
, 115

at all levels for rational culture
, 113

value
, 161

Measure of performance (MOP)
, 24

Measurement, Examine and Manage (MEM)
, 54, 121, 124

Micro-management
, 27

Morale (M)
, 24

MUDA, MURA, and MURI approach (Three M’s approach)
, 6

MUDA types
, 55

Multi Trait Multi Methods analysis (MTMM analysis)
, 38–39

National cultures
, 18

National Quality Improvement Act
, 5

Non-awarded manufacturing companies
, 81–83

partial correlation analysis
, 96–107

respondent behaviour characteristics in
, 95

Non-value-added processes
, 6

Olympic Games motto
, 3–4

Organizational culture (OC)
, 12–14, 16, 21, 33, 159

cultural types with competing value framework
, 18–21

environment and organization culture
, 14–16

literature on organizational culture and linkages to organizational success
, 33–40

measuring
, 16–18

organizational success/world class performance
, 33–35

relationship of OC with CI tools and performance
, 37–40

role on effectiveness of software process improvement/deployment
, 35–37

societal culture vs.
, 14–15

Overall Process Oriented Performance
, 25

Partial correlation

analysis
, 96–107

awarded companies
, 98–102

non-awarded companies
, 105–107

test
, 48–49

Partner development (PD)
, 56, 145

Parts per Billion (PPB)
, 4

Parts per Million (PPM)
, 4

Pearson correlation coefficient
, 48–49

Performance elements (PE)
, 67, 168

relationship of CI tools and
, 67–69

Performance measure
, 3

Performance measurement
, 21–27

CPI
, 24–27

performance element of WCM
, 22–24

Performance measurement planning (PMP)
, 56, 145

Policy adherence
, 117–119

Post globalization
, 1

Predominance of teamwork
, 34

Price-based costing
, 1

Principal component analysis (PCA)
, 70–71

Process
, 4–5

Product pricing
, 1

Productivity (P)
, 22

Promotions
, 116–117

Quality
, 3–4

Quality (Q)
, 22

Quality Function Deployment (QFD)
, 54

Quality management
, 53

practices
, 38–39

Quality process management (QPM)
, 53–54, 121, 123

Questionnaire design
, 49–60

change scale
, 51

data collection and sample size fixation
, 56–60

factors
, 52–56

method of collecting sample
, 56–57

sample size
, 57–60

Satty scale
, 50

Rational culture
, 38–39, 83, 91, 99, 102, 161

Recognitions
, 116–117

Regression

analysis
, 129, 140, 145, 152

coefficient
, 130

Reliability test
, 48, 81, 83

Research methodology
, 43, 46

hypothesis for evaluation
, 46

main survey
, 62–63

objectives of study
, 45

pilot study
, 49–60

problem background
, 43

proposed conceptual model
, 44

questionnaire design
, 49–60

significance of research study
, 44–45

statement of problem
, 43–44

statistical tool
, 48–49

Respondents

behaviour characteristics in awarded and non-awarded manufacturing companies
, 95

experience levels of
, 78

gender category of
, 78–80

Role culture
, 19–20

Rules
, 119

of thumb
, 71

Safety (S)
, 24

Sales and operations planning (SOP)
, 56, 145

Satty scale
, 50–51, 70

Scale reliability assessment
, 48

Serious cost reduction
, 1

Seven-point Likert scale
, 51

Showing hard-work ethic (SHWE)
, 27, 121

Six Sigma
, 5

Societal culture
, 14–15

Software process improvement (SPI)
, 35–36

deployment
, 36–37

SPSS package
, 70–71

Standard deviation
, 110, 119, 161

Standardized product and process flow strategy (SPFS)
, 56, 130, 135

Statistical analysis
, 81, 109, 128, 152

ANOVA
, 83–95

for CI tool SCM (IFs) with CPIs
, 150–152

comparative result
, 109–119

correlation analysis
, 128–129

hypothesis testing
, 107–109

impact of IFs and CPIs testing by t-test
, 129, 139–140

mean
, 109–110

partial correlation analysis
, 96–107

relationship establishment and testing using regression analysis
, 129–152

reliability test
, 81–83

respondent behaviour characteristics in awarded and non-awarded manufacturing companies
, 95

variation
, 110–119

Statistical process control (SPC)
, 37

Statistical tool
, 48–49

Stratified random sampling
, 57

Stretched targets
, 119

Stringent project control
, 119

Supply chain management (SCM)
, 46, 72, 74

t-test
, 49

for hierarchical culture
, 117

impact of IFs and CPIs testing by
, 129, 139–140, 150–151

Team orientation
, 34

Technology in WCM
, 3–4

Throughput time with flexibility (TTF)
, 55–56, 130

Timeline for award
, 6

Top management
, 35–36, 52–53

Total productive lean manufacturing (TPLM)
, 46, 59, 72, 74

Total productive maintenance (TPM)
, 74

Total quality management (TQM)
, 37, 40, 46, 58–59, 72, 74

CI tool TQM with CPIs
, 121–128

Total quality management
, 129

Trinidad and Tobago (T and T)
, 39–40

Trust (TRU)
, 25, 121, 145

Value-added physical entity
, 3

Value-addition
, 168

Variation
, 110–119

Waste
, 55

Work performance
, 119

World class manufacturing (WCM)
, 3–4, 43, 65, 159

awards and winning criteria
, 5–12

CII-EXIM
, 11–12

GEM Council
, 5–6

goals of
, 4

objectives
, 4

performance element of
, 22–24