Prelims
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
Citation
Muthukumar, N., Ganesh, K., Mohapatra, S., Tamizhjyothi, K., Nachiappan, R.M. and Bharati, M. (2022), "Prelims", Organizational Culture and Its Impact on Continuous Improvement in Manufacturing, Emerald Publishing Limited, Leeds, pp. i-xviii. https://doi.org/10.1108/978-1-80262-403-820221009
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
Half Title Page
Organizational Culture and Its Impact on Continuous Improvement in Manufacturing
Title Page
Organizational Culture and Its Impact on Continuous Improvement in Manufacturing
By
Dr N. Muthukumar
Automotive Axles Limited, India
Dr K. Ganesh
McKinsey & Company, India
Dr Sanjay Mohapatra
Xavier Institute of Management, India
Dr K. Tamizhjyothi
Annamalai University, India
Dr R. M. Nachiappan
Annamalai University, India
And
Dr M. Bharati
Veer Surendra Sai University of Technology, India
United Kingdom – North America – Japan – India – Malaysia – China
Copyright Page
Emerald Publishing Limited
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First edition 2022
Copyright © 2022 N. Muthukumar, K. Ganesh, Sanjay Mohapatra, K. Tamizhjyothi, R. M. Nachiappan and M. Bharati. Published under exclusive licence by Emerald Publishing Limited.
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ISBN: 978-1-80262-404-5 (Print)
ISBN: 978-1-80262-403-8 (Online)
ISBN: 978-1-80262-405-2 (Epub)
List of Figures
Figure 1.1. | Manufacturing and Its Components. |
Figure 1.2. | Goals of WCM. |
Figure 1.3. | Competing Value Framework (CVF) – Culture Types. |
Figure 1.4. | Performance Elements in the Circle of Control of the Manufacturing. |
Figure 1.5. | India's Merchandise Trade: Import, Export and Trade Balance. |
Figure 1.6. | Share (%) of Manufacturing in India's Total Merchandise Exports. |
Figure 1.7. | Overall Chapter Summary Flow Chart. |
Figure 2.1. | Existing Research Model. |
Figure 3.1. | Comparison of Existing and Proposed Conceptual Research Model. |
Figure 3.2. | Classified Factors of Organizational Culture. |
Figure 4.1. | Selected Five CI Tools to Achieve WCM Status. |
Figure 4.2. | Grouped CI Tools and PE Achievement. |
Figure 4.3. | Overall Approach in Selecting Optimum CI Tools. |
Figure 4.4. | Presence Levels of Culture in Awarded and Non-awarded Companies – Comparison of Absolute Means. |
Figure 4.5. | Standard Deviation of Culture Score Means for Awarded Companies. |
Figure 4.6. | Means at All Levels (CPIs and Question Item) for Group Culture. |
Figure 4.7. | Means at All Levels (CPIs and Question Item) for Rational Culture. |
Figure 4.8. | Means at All Levels (CPIs and Question Item) for Development Culture. |
Figure 4.9. | Means at All Levels (CPIs and Question Item) for Hierarchical Culture. |
Figure 4.10. | Presence Level of CPIs of All Culture Types Related to Awarded and Non-awarded Manufacturing Companies – Comparison of Means. |
Figure 4.11. | Presence Level of All 12 Questions Pertain to Hierarchical Culture for Awarded and Non-awarded Manufacturing Companies. |
Figure 5.1. | Effects of Continuous Improvement Tools on Culture (CPI) Development. |
Figure 5.2. | Impacts of Continuous Improvement Tools on CPIs. |
Figure 5.3. | Venn Diagram for Significance of CPIs with CI Tools. |
Figure 5.4. | ABC Flow Chart. |
Figure 5.5. | Developed Conceptual Model. |
List of Tables
Expression 1.1 | Cost Equation. |
Table 1.1. | Worldwide Manufacturing/Business Excellence Awards. |
Table 1.2. | Timeline for the GEM Council Awarding Procedure (Worldwide). |
Table 1.3. | List of Awarded Companies. |
Table 1.4. | Comparisons of Social Culture and Organizational Culture. |
Table 1.5. | Comparisons of Various Researchers' Dimensions of Organizational Culture. |
Table 1.6. | Types of Culture (Literature). |
Table 3.1. | Research Methodology. |
Table 3.2. | Satty Scale. |
Table 3.3. | Imperative Factors (IFs) of CI Tools. |
Table 3.4. | Reliability Range of Questionnaire. |
Table 3.5. | Case Processing Summary for Non Awarded Companies (for Objective 2). |
Table 3.6. | Cronbach’s Alpha Coefficient Summary for Non-awarded Companies (for Objective 2). |
Table 3.7. | Intra-class Correlation Coefficient for Non-awarded Companies (for Objective 2). |
Table 3.8. | Summary of Sample Collection (for Objective 1). |
Table 3.9. | Summary of Sample Collection (for Objective 2). |
Table 3.10. | Summary of Sample Collection (for Objective 3). |
Table 4.1. | CI Tools Used in Manufacturing. |
Table 4.2. | Mean Score of CI Tools with PE. |
Table 4.3. | Selected Five CI Tool and Its Mean Score. |
Table 4.4. | Rotated Component Matrix. |
Table 4.5. | Total Variance. |
Table 4.6. | Number of Respondents in Various Types of Awarded and Non-awarded Indian Manufacturing Companies. |
Table 4.7. | Manufacturing Companies Location across India with Awarded and Non-awarded Category. |
Table 4.8. | Manufacturing Companies and Its Turnover with Awarded and Non-awarded Category. |
Table 4.9. | Respondent Experience in Manufacturing with Awarded and Non-awarded Category. |
Table 4.10. | Respondent Gender with Awarded and Non-awarded Category. |
Table 4.11. | Employee Strength in Manufacturing Company (Respondent) with Awarded and Non-awarded Category. |
Table 4.12. | Item-wise Reliability Test. |
Table 4.13a. | Influence of Types of Manufacturing Companies (Awarded) on Different Culture Type. |
Table 4.13b. | Influence of Types of Manufacturing Companies (Non-awarded) on Different Culture Type. |
Table 4.14a. | Influence of Manufacturing Companies (Awarded) Locations on Different Culture Type. |
Table 4.14b. | Influence of Manufacturing Companies (Non-awarded) Locations on Different Culture Type. |
Table 4.15a. | Influence of Respondent Experience in Manufacturing Companies (Awarded) on Different Culture Type. |
Table 4.15b. | Influence of Respondent Experience in Manufacturing Companies (Non-awarded) on Different Culture Type. |
Table 4.16a. | Influence of Turnover of the Manufacturing Companies (Awarded) on Different Culture Type. |
Table 4.16b. | Influence of Turnover of the Manufacturing Companies (Non-awarded) on Different Culture Type. |
Table 4.17a. | Influence of Gender of the Respondent in the Manufacturing Companies (Awarded) on Different Culture Type. |
Table 4.17b. | Influence of Gender of the Respondent in the Manufacturing Companies (Non-awarded) on Different Culture Type. |
Table 4.18a. | Influence of Employee Strength in the Manufacturing Companies (Awarded) on Different Culture Type. |
Table 4.18b. | Influence of Employee Strength in the Manufacturing Companies (Non-awarded) on Different Culture Type. |
Table 4.19. | Influence of LOC, EI and EB in the Respondent of Manufacturing Companies (Awarded) on Different Culture Type. |
Table 4.20. | Influence of LOC, EI and EB in the Respondent of Manufacturing Companies (Non-awarded) on Different Culture Type. |
Table 4.21. | Awarded Companies – Correlation between 48 Questions vs 4 Culture Types. |
Table 4.22. | Awarded Companies – Correlation Analysis between 48 Questions and 16 CPIs/Sub-factors. |
Table 4.23. | Awarded Companies – Correlation Analysis between the 16 CPIs/Sub-factor and the 4 Culture Types. |
Table 4.24. | Non-Awarded Companies – Correlation Analysis between 48 Questions and 4 Culture Types. |
Table 4.25. | Non-Awarded Companies – Correlation Analysis between 48 Questions and 16 CPIs/Sub-factors. |
Table 4.26. | Non-awarded Companies – Correlation Analysis of 48 Questions and 16 CPIs/Sub-factors. |
Table 4.27. | Summary of Hypothesis Testing. |
Table 4.28. | t-test for Hierarchical – CPIs with Awarded and Non-awarded Manufacturing Companies. |
Table 4.29. | Presence of Hierarchical Culture in Awarded and Non-awarded Manufacturing Companies. |
Table 4.30. | Descriptive Statistics for the Level Scale of IFs. |
Table 4.31. | Descriptive Statistics for the Change Scale of IFs. |
Table 4.32. | Descriptive Statistics for the Level Scale of CPIs. |
Table 4.33. | Descriptive Statistics for the Change Scale of CPIs. |
Table 4.34. | Significant Correlations between IFs and CPIs – Level Scale. |
Table 4.35. | Computed t-values and Level of Significance for CPIs. |
Table 4.36. | Regression Analysis Inference of IFs Related to TQM (CTM, FC, QPM, CI, MEM and MHR) on CPIs. |
Table 4.37. | Descriptive Statistics for the Level Scale of IFs. |
Table 4.38. | Descriptive Statistics for the Change Scale of IFs. |
Table 4.39. | Descriptive Statistics for the Level Scale of CPIs. |
Table 4.40. | Descriptive Statistics for the Change Scale of CPIs. |
Table 4.41. | Significant Correlations between IFs and CPIs – Level Scale. |
Table 4.42. | Computed t-values and Level of Significance for CPIs. |
Table 4.43. | Regression Analysis Influences of IFs Related to TPLM (AP, EE, CRA, IS, TTF and SPFS) on CPIs. |
Table 4.44. | Descriptive Statistics for the Level Scale of IFs. |
Table 4.45. | Descriptive Statistics for the Change Scale of IFs. |
Table 4.46. | Descriptive Statistics for the Level Scale of CPIs. |
Table 4.47. | Descriptive Statistics for the Change Scale of CPIs. |
Table 4.48. | Significant Correlations between IFs and CPIs – Level Scale. |
Table 4.49. | Computed t-values and Level of Significance for CPIs. |
Table 4.50. | Regression Analysis Inference of with IFs Related to SCM (CP, PD, IOC, ICR, PMP and SOP) on CPIs. |
Table 4.51. | Relation between the CI Tools with CPIs. |
Table 5.1. | Correlation Coefficient of CPIs of Various Culture Type with Three CI Tools. |
Table 5.2. | Summary of Level of Presence of Cultures in Awarded and Non-awarded Companies. |
List of Abbreviations
- ABC
-
Activity-based costing
- ABM
-
Activity-based management
- ACN
-
Anticipating customer need
- AGV
-
Automated guided vehicle
- AHP
-
Analytical hierarchical process
- AM
-
Agile manufacturing
- AMC
-
Actual manufacturing cost
- AP
-
Availability of the process/machine
- BCMS
-
Basic components of manufacturing system
- BM
-
Benchmarking
- BPR
-
Business process reengineering
- C
-
Cost
- CAD
-
Computer-aided design
- CAM
-
Computer-aided manufacturing
- CAPP
-
Computer-aided process planning
- CE
-
Concurrent engineering
- CEO
-
Chief executive officer
- CI
-
Continuous improvement
- CII
-
Confederation of Indian Industry
- COH
-
Cohesion
- CON
-
Controlling
- CPs
-
Clarifying policies
- CP
-
Collaboration planning
- CPIs
-
Cultural performance indicators
- CR
-
Consistency ratio
- CRA
-
Customer requirement adherence
- CRM
-
Customer relationship management
- CRQ
-
Customer required quantity
- CSA
-
Customer schedule adherence
- CTM
-
Commitment of top management
- CVF
-
Competing Values Framework
- D
-
Delivery
- DEP
-
Developing people
- DPMO
-
Defects per million opportunities
- DT
-
Downtime
- EAW
-
Expecting accurate work
- EE
-
Employee empowerment
- EMS
-
Environment management system
- EP
-
Encouraging participation
- ES
-
Emphasizing speed
- et al.
-
And others
- E
-
Environment
- EV
-
Eigenvalue
- F
-
Flexibility
- FA
-
Factor analysis
- FC
-
Focus of customer
- FG
-
Finished goods
- FMS
-
Flexible manufacturing system
- FOCE
-
Focus on competition with overall economic performance
- FR
-
Formal rules
- GEM
-
Global Excellence Model
- I
-
Innovation
- ICR
-
Integrated customer relationship
- IFs
-
Imperative factors
- IOC
-
Interorganizational communication
- IPEE
-
Inspiring people to exceed expectation
- IS
-
Inventory strategy
- ISC
-
Initiating significant change
- IVN
-
Innovation
- JH
-
Jishu Hozen
- JIPM
-
Japan Institute of Planned Maintenance
- JIT
-
Just-in-time
- LM
-
Lean manufacturing
- M
-
Morale
- Max
-
Maximum
- MEM
-
Measurement, examine and manage
- MHR
-
Management of Human Resources
- Min
-
Minimum
- MIN
-
Minutes
- MLMO
-
Market and sales development and growth and focus market share
- MMT
-
Material movement time
- MoP
-
Measures of performance
- MRP
-
Material requirements planning
- NVA
-
Non-value-added
- OC
-
Organizational culture
- P
-
Productivity
- PCA
-
Principal component analysis
- Pcs
-
Pieces
- PD
-
Partner development
- PM
-
Planned maintenance
- PMP
-
Performance measurement planning
- PPM
-
Parts per million
- Q
-
Quality
- QM
-
Quality maintenance
- QPM
-
Quality process management
- QS
-
Quality system
- RI
-
Relative index
- RM
-
Raw material
- ROI
-
Return on investment
- S
-
Safety
- SCM
-
Supply chain management
- Sec
-
Seconds
- SHE
-
Safety, Health and Environment
- SHWE
-
Showing Hard Work Ethic
- SMED
-
Single-minute Exchange of Dies
- SOP
-
Sales and operations planning
- SPFS
-
Standardized Product and Process Flow Strategy
- SPSS
-
Statistical Package for Social Service
- SQC
-
Statistical quality control
- SS
-
Six Sigma
- TPLM
-
Total productive lean manufacturing
- TPM
-
Total productive maintenance
- TPT
-
Throughput time
- TQM
-
Total quality management
- TRU
-
Trust
- TTF
-
Throughput time with flexibility
- UK
-
United Kingdom
- USFC
-
Unsafe condition
- VA
-
Value-added
- VAR
-
Value-added ratio
- VAT
-
Value-added time
- WCM
-
World class manufacturing
- WCMS
-
World class manufacturing system
- WIP
-
Work-in-process/progress
About the Authors
Dr N. Muthukumar is President and COO of Meritor India, driving business development, growth and future strategy with 33 years of rich experience in the Automobile and Pharmaceutical sector. In his previous assignment, he was President at Automotive Axles limited and instrumental in the capacity enhancement and transformation of AAL Manufacturing into Industry 4.0. He started his career with TVS Srichakra Tyres in 1987 and was heading Operations for Sundaram Industries Limited. Later, he was running International Business of TTK before joining Meritor. He was driving force in making all the Indian operations of TTK-LIG, TPM certified by JIPM. He is a resource faculty for JIPM TPM for CII and past chairman CII Karnataka.
Dr K. Ganesh is Senior Knowledge Expert, Global Lead of ‘Manufacturing and Supply Chain Center of Competence’ (MSC CoC) & Delivery Leader at McKinsey & Company, Chennai, India. He is specialized in logistics and supply chain transformation for various industry verticals. He is having total 16+ years of research and consulting experience. He has published more than 150 papers in leading international journals and written 11 international books. He is editorial board for 5 international journals and in reviewer board for 10 + renowned international journals.
Dr Sanjay Mohapatra has received his B.E. from NIT Rourkela, MBA from XIMB, M.Tech from IIT Madras, India, and PhD from Utkal University. Dr Mohapatra consulted many organizations in different domains such as utilities, banking, insurance and healthcare sectors. His teaching interests are in IT Strategy and Management Information Systems and research interests are in the area of IT-enabled processes. He has authored/co-authored 28 books, more than 78 papers in national and international referred journals besides publications in different conferences.
Dr K. Tamizhjyothi is Associate Professor in Business Administration, Annamalai University, with 23 years of teaching and industrial experience. He has written 5 books, published 112 articles and presented 57 papers in national/international conferences. He has guided 7 PhD and 5 MPhil scholars. He has received ‘Best Researcher Award’ from IIMK and also received ‘Respected Teacher Award’ and ‘Best Paper Award’. He has successfully completed four consultancy research projects. He is an editorial board member and reviewer of various journals. His area of specialization is Marketing Research, Operations Research, and Logistics and Supply Chain Management.
Dr R.M. Nachiappan is Associate Professor, Department of Manufacturing Engineering, Annamalai University, and currently deputed to Government College of Engineering, Thanjavur. He has 19 years of teaching and 4 years of industrial experience at world renowned manufacturing organization like TVS, TTK. He has administrative experience of 4 years as NSS programme officer, Deputy Controller of Examination in Annamalai University. He has written 2 books and published 43 articles at the national and international levels. His area of specialization is World Class Manufacturing, Lean, Six Sigma, Total Productive Maintenance, Performance Evaluation and System Design, Operations Management.
Dr M. Bharati is Associate Professor at Veer Surendra Sai University of Technology, Odisha. She is the member, standing committee of Nodal Centre for Research, Research Council of University and Member of Board of Studies of different Government Universities and Institutes. Along with extensive teaching and research experience, Dr Bharati has consulting experience for environmental planning projects. She has worked for international collaboration project on Urban Conservation. She has publications in peer-reviewed international journals and has authored books and chapters for international publishers. Her research interests are in the areas of environmental planning and management and environmental behaviour.
- Prelims
- Chapter 1 Introduction
- Chapter 2 Literature Review
- Chapter 3 Research Methodology
- Chapter 4 Analysis and Discussion
- Chapter 5 Findings, Suggestions and Conclusion
- References
- Appendix 1 Manufacturing Company Culture Survey Questionnaires
- Appendix 2 About Confederation of Indian Industry (CII)
- Index