Effect of supply chain coordination on supply chain flexibility empirical evidence from manufacturing companies

VIETNAM NATIONAL UNIVERSITY, HANOI VIETNAM JAPAN UNIVERSITY DUONG THI MINH NGUYET EFFECT OF SUPPLY CHAIN COORDINATION ON SUPPLY CHAIN FLEXIBILITY: EMPIRICAL EVIDENCE FROM MANUFACTURING COMPANIES MASTER’S THESIS VIETNAM NATIONAL UNIVERSITY, HANOI VIETNAM JAPAN UNVERSITY DUONG THI MINH NGUYET EFFECT OF SUPPLY CHAIN COORDINATION ON SUPPLY CHAIN FLEXIBILITY: EMPIRICAL EVIDENCE FROM MANUFACTURING COMPANIES MAJOR: MASTER OF BUSINESS ADMINISTRATION CODE: 8430101.01 RESEARCH SUPERVISORS: Prof GUO PEIJUN Assoc Prof PHAN CHI ANH Ha Noi, 2021 LETTER OF DECLARATION I hereby declare that the Master thesis “EFFECT OF SUPPLY CHAIN COORDINATION ON SUPPLY CHAIN FLEXIBILITY: EMPIRICAL EVIDENCE FROM MANUFACTURING COMPANIES” is the results of my own study and has never been published in any work of others During the implementation process of this project, I have seriously taken research ethics; all findings of this projects are results of my own research and surveys; all references in this project are clearly cited according to regulations I bear full responsibility for the fidelity of the number and data and other contents of my graduation project Hanoi, June 2021 Master student Duong Thi Minh Nguyet ACKNOWLEDGEMENT First and foremost, it is my pleasure to show my special thanks to my supervisors at Vietnam – Japan University, VNU - Assoc Prof Phan Chi Anh and Prof Guo Peijun Without their assistance and dedication to every step throughout the process of the thesis, this paper would have never been accomplished I would like to thank them so much for aspiring guidance, invaluably constructive criticism, and friendly advice during the project work I am using this is opportunity to express my deepest gratitude to everyone who has been with me and supported me over these past four years I would like to thank all of the faculty members and staff at Vietnam – Japan University, VNU for giving me the chance to this thesis Especially, I have to thank program’s assistant, Mrs Nguyen Thi Huong who have properly handled all the problems that arose during the thesis Most importantly, I would like to extend my warms thanks to my parents for their unconditional love, continuous encouragement throughout my process of learning and maturation This accomplishment would not have been possible without them Sincerely, Duong Thi Minh Nguyet Hanoi, 2021 TABLE OF CONTENTS TABLE OF CONTENTS i LIST OF TABLES ii LIST OF FIGURES iii LIST OF ABBREVIATIONS iv ABSTRACT v CHAPTER 1: INTRODUCTION 1.1 Research scope Place scope Time scope 1.2 Structure of study: CHAPTER 2: LITERATURE REVIEW 2.1 Supply chain coordination 2.2 Supply Chain Flexibility 2.3 Hypothesis development 2.3.1 Inter-organizational coordination and Supply chain flexibility 2.3.2 The moderating effect of Information technology links 10 2.3.3 The moderating effects of Supply chain information sharing 11 CHAPTER 3: RESEARCH DESIGN 13 3.1 High Performace Manufacturing (HPM) Project introduction 13 3.2 Analytical Framework 13 3.3 Survey instrument (Measurement scales) 15 3.4 Data analysis methodology 17 3.5 Data Collection and Measurment Analysis 18 3.5.1 Measurement test and descriptive analysis 19 3.5.2 Correlation analysis 19 3.5.3 Hypothesis testing 21 CHAPTER 4: DISCUSSION AND IMPLICATIONS 29 CHAPTER 5: CONCLUSIONS 32 REFERENCES 33 APPENDIX A 39 APPENDIX B 42 APPENDIX C 51 LIST OF TABLES Table 1: Survey instruments 16 Table 2: Correlation analysis 19 Table 3: Regression analysis 22 Table 4: Hierarchical regression analysis (Dependent variable: FLEXCN) 24 Table 5: Summary of hypotheses test 26 LIST OF FIGURES Pages Figure 1: Proposed analystical framework 14 Figure 2: Summarized moderating effects on Flexibility performance 25 LIST OF ABBREVIATIONS SC Supply chain SCC Supply chain coordination SCF Supply chain flexibility SCP Supply chain performance IOC Inter-organizational coordination ICSUP Inter-organizational coordination with suppliers ICBUY Inter-organizational coordination with buyers WITHSUP Supply chain information sharing with suppliers BYSUP Supply chain information sharing buy suppliers WITHCUS Supply chain information sharing with customers BYCUS Supply chain information sharing by customers LINKSUP Information technology links with suppliers LINKCUS Information technology links with customers ABSTRACT The main purpose of this study is to empirically investigate an empirical study of the relationship between Supply chain coordination practices (SCC) and Supply chain flexibility (SCF) in various manufacturing companies Multiple regression analyses are used to analyse the data collected from 204 manufacturing plants in 12 countries including China, Finland, German, Italy, Israel, Japan, Korea, Spain, Sweden, Taiwan, United Kingdom, and Vietnam from the fourth round of a High-Performance Manufacturing Project during 2014-2016 The analytical results confirm the closed linkage between Inter-organizational coordination with suppliers and buyers (subdimension of SCC) and SCF Moreover, this study also offers multidimensional aspects of Information sharing and IT links to examine the effects on each relationship between In-organizational coordination and SCF; then comparing to other Supply chain performance The analytical results indicate that Information sharing with/by customers and IT links with customers plays a vital role in increasing the flexibility capability in the supply chain The main findings of this study suggest to supply chain managers that SCF can be built up by focusing on both Inter-organizational coordination with suppliers and buyers’ practices, and Information sharing with/by customers and IT links with customers should be regarded as the facilitator to maximize the effect of Sup-ply chain coordination on Supply chain flexibility Key words: Supply chain coordination, Supply chain flexibility, Inter-organizational coordination, Supply chain Information sharing, Information technology links, Supply chain performance CHAPTER 1: INTRODUCTION During the last three decades, most academicians and practitioners have focused on improving competitive advantages such as cost, quality, and distribution; however a body of literature has started to recognize the importance of flexibility in term of Supply chain which is looked beyond manufacturing flexibility (De Meyer et al 1989; Stevenson et al 2007, Tiwari et al 2015, Manders et al 2017) The move from the view of production to supply chain can be seen as a need for supply chain partners to collaborate to generate flexibility and, as a result, end-user responsiveness (Kumar et al 2008) To improve the Supply chain Flexibility (SCF), supply chain members can act as though they are part of a single system, coordinating with one another Because of the uncertainty in the supply chain, all of the company's operating areas need to collaborate and communicate with the main vendors and buyers which demonstrates the important of Supply chain Coordination (SCC) It is in charge of increased efficiency, such as an annual sales limit, improved customer experience, and faster response times (Ronald H Ballou et al 2000, Arshinder et al 2008, Hugos et al 2011) In the SCC literature, most of researchers explores the concept of Coordination from within the organization and Coordination between organizations (Stank et al 1999, Kim et al 2001, Bas Hillebrand et al 2003, Melander et al 2019) It is considered that internal cooperation as a coordination mechanism for external cooperation in the supply chain context In fact, little studies examined deeply the relationship between firms and their external trading partners (A Campbell, 1994), thus, in this study the authors will investigate the influence of Inter-organizational Coordination with suppliers and Inter-organizational with buy-ers which are the sub-dimension of external SCC on SCF In addition, both SCF and SCC literature indicated the importance of Information sharing and Information technology (IT) in improving supply chain performance According to Fawcett et al 2007, the use of IT in a collaborative supply chain improves both operational and competitive performance The literature seems to be lacking in investigating the degree of strong and weak impact of multi-dimensional aspects of information sharing and IT links in the relationship of SCC impacts on SCF (Jayaram Production schedule information (BYCUS04) Productivity information (BYCUS05) Sensitive information (for example, financial information, proprietary proces information, etc.) (BYCUS06) - removed Information technology links with suppliers (Respondents: Upsteam supply chain managers) Our information system is electronically connected with those of our key suppliers (LINKSUP01) We use information technology enabled transaction processing with our key suppliers (LINKSUP02) We use electronic transfer of purchase orders, invoices and/or funds to our key suppliers (LINKSUP03) We use information technology (for example, RFID or PIDT) to track and/or expedite shipments to our key suppliers (LINKSUP04) Information technology links with customers (Respondents: Downstream supply chain managers) Our information system is electronically connected with those of our customers (LINKCUS01) Our customers use information technology enabled transaction processing with our plant (LINKCUS02) Our customers use electronic transfer of purchase orders, invoices and/or funds to us (LINKCUS03) Our customers use information technology (for example, RFID or PIDT) to track and/or expedite shipments to our plant (LINKCUS04) Inter-Organizational coordination Please indicate the extent of involvement of your plant in the following activities with your primary buyers: (Respondents: Downstream supply chain managers) Strategic planning with buyers (ICBUY01) Planning for new products and programs with buyers (ICBUY02) Planning for product conception and design with buyers (ICBUY03) Sharing operational information (ICBUY04) Coordination of production planning (ICBUY05) Utilization of integrated database for information sharing (ICBUY06) Please indicate the extent of involvement of your plant in the following activities with your primary suppliers: (Respondents: Upsteam supply chain managers) Strategic planning with suppliers (ICSUP01) Planning for new products and programs with suppliers (ICSUP02) Planning for product conception and design with suppliers (ICSUP03)” 10 “Sharing operational information (ICSUP04) 11 Coordination of production planning (ICSUP05) 12 Utilization of integrated database for information sharing (ICSUP06) Ability to meet customer's flexibility needs (Respondents: Downstream supply chain managers) 44 Flexibility is the most important criterion used by our customers in selecting us as a supplier (FLEXCN01) Our customers select us because we deliver flexibly for their needs (FLEXCN02) Our customers can rely on us for flexibility (FLEXCN03) We are selected by our customers because of our reputation for flexibility (FLEXCN04) Ability to meet customer's quality needs - describes the extent to which quality - is valued by the downstream supply chain (Respondents: Downstream supply chain managers) Quality is the most important criterion used by our customers in selecting us as a supplier (QUALCN01) Our customers involve us in their quality improvement efforts (QUALCN02) – removed Our customers can rely on us for quality products (QUALCN03) We are selected by our customers because of our reputation for quality (QUALCN04) Ability to meet customer's cost needs - describes the extent to which cost is valued by the downstream supply chain (Respondents: Downstream supply chain managers) Low cost is the most important criterion used by our customers in selecting us as a supplier (COSTCN01) Our customers involve us in their cost reduction efforts (COSTCN02) – removed Our customers can rely on us for low cost products (COSTCN03) We are selected by our customers because of our reputation for low cost (COSTCN04) Ability to meet customer's speed needs - describes the extent to which speed - is valued by the downstream supply chain (Respondents: Downstream supply chain managers) Fast delivery is the most important criterion used by our customers in selecting us as a supplier (SPEEDN01) Our customers involve us in their time reduction efforts (SPEEDN02) – removed Our customers can rely on us for fast delivery (SPEEDN03) We are selected by our customers because of our reputation for fast delivery (SPEEDN04) Ability to meet customer's on-time delivery needs - describes the extent to which on-time delivery is valued by the downstream supply chain (Respondents: Downstream supply chain managers) On-time delivery is the most important criterion used by our customers in selecting us as a supplier (ONTIMN01) – removed Our customers select us because we deliver just-in-time for their needs (ONTIMN02)” “Our customers can rely on us for punctual delivery (ONTIMN03) We are selected by our customers because of our reputation for on-time delivery (ONTIMN04)”” Appendix B 1: Measurement analysis 45 Measurement analysis Measurement scales Cronbach' alpha Information sharing with suppliers 0.91 Information sharing by suppliers 0.94 Information sharing with customers 0.92 Information sharing by customers 0.86 IT links with suppliers 0.85 IT links with customers 0.85 Interorganizational coordination with suppliers 0.89 Interorganizational coordination with buyers 0.88 Ability to meet customer's flexibility needs 0.85 Ability to meet customer's quality needs 0.71 Ability to meet customer's cost needs 0.78 Ability to meet customer's speed needs 0.70 Ability to meet customer's on-time delivery needs 0.73 Appendix B 2: Desctiptive statistics Descriptive Statistics N Minimum Maximum Mean Std Deviation SC Information sharing with suppliers 204 1.00 5.00 3.18 95 SC Information sharing by suppliers 204 1.00 5.00 3.41 89 SC Information sharing with customers 204 1.00 5.00 3.31 86 SC Information sharing by customers 204 1.00 5.00 3.11 91 IT links with suppliers 204 1.00 5.00 3.31 1.02 46 IT links with customers 204 1.00 5.00 3.05 1.01 Inter-Organizational coordination with suppliers 204 1.00 5.00 3.01 80 Inter-Organizational coordination with buyers 204 1.00 5.00 3.08 78 “Ability to meet customer's flexibility needs 204 2.00 5.00 3.85 64 Ability to meet customer's quality needs 204 2.00 5.00 4.26 58 Ability to meet customer's cost needs 204 1.00 5.00 3.22 86 Ability to meet customer's speed needs 204 2.00 5.00 3.71 69 Ability to meet customer's ontime delivery needs” 204 2.00 5.00 3.85 67 Factor loadings are given in parentheses following each item Appendix B 3: Factor loadings for each scale Factor loadings for the indicators variables Construct SC Information sharing with suppliers Items Factor loading WITHSUP07 0.85 WITHSUP08 0.81 WITHSUP09 0.81 WITHSUP06 0.80 WITHSUP02 0.80 WITHSUP05 0.79 WITHSUP10 0.77 WITHSUP03 0.68 BYSUP04 0.86 BYSUP03 eigenvalue % variance 5.05 63.12 6.11 67.90 0.86 47 SC Information sharing by suppliers SC Information sharing with customers SC Information sharing by customer IT Links with suppliers BYSUP08 0.85 BYSUP05 0.84 BYSUP09 0.83 BYSUP06 0.82 BYSUP07 0.80 BYSUP02 0.79 BYSUP01 0.72 WITHCUS07 0.83 WITHCUS04 0.81 WITHCUS05 0.77 WITHCUS08 0.76 WITHCUS10 0.75 WITHCUS02 0.74 WITHCUS09 0.72 WITHCUS06 0.72 WITHCUS01 0.69 WITHCUS03 0.84 BYCUS04 0.84 BYCUS01 0.82 BYCUS02 0.79 BYCUS05 0.78 BYCUS03 0.76 LINKSUP02 0.90 LINKSUP01 0.85 LINKSUP03 0.79 LINKSUP04 0.78 5.91 59.11 3.23 64.67 2.79 69.96 48 IT Links with customers InterOrganizational coordination with suppliers InterOrganizational coordination with buyers Ability to meet customer's flexibility needs Ability to meet customer's quality needs Ability to meet customer's cost needs LINKCUS02 0.90 LINKCUS01 0.85 LINKCUS03 0.82 LINKCUS04 0.75 ICSUP09 0.83 ICSUP07 0.83 ICSUP10 0.82 ICSUP08 0.82 ICSUP11 0.77 ICSUP12 0.74 ICBUY02 0.84 ICBUY04 0.83 ICBUY01 0.82 ICBUY03 0.80 ICBUY05 0.76 ICBUY06 0.72 FLEXCN04 0.90 FLEXCN03 0.84 FLEXCN02 0.80 FLEXCN01 0.79 QUALCN04 0.84 QUALCN03 0.80 QUALCN01 0.75 COSTCN04 0.90 COSTCN03 0.85 COSTCN01 0.74 2.80 70.21 3.91 65.22 3.83 63.94 2.80 70.14 1.92 63.98 2.10 70.08 49 Ability to meet customer's speed needs Ability to meet customer's on-time delivery needs SPEEDN04 0.86 SPEEDN01 0.78 SPEEDN03 0.72 ONTIMN04 0.82 ONTIMN02 0.80 ONTIMN03 0.79 1.90 63.51 1.95 65.15 APPENDIX C Dependent variables: Quality performance Appendix C 1: Hierarchical regression analysis (Dependent variable: Quality performance) 50 Hierarchical regression analysis (Dependent variable: QUALCN) Independent Variables R-square F Statistic ICSUP WITHSUP ICSUP x WITHSUP 0.0245 1.6766 Model 0.1733 ICSUP BYSUP ICSUP x BYSUP 0.0361 2.497 Model 0.0609 ICSUP WITHCUS ICSUP x WITHCUS 0.0864 6.3063 Model 0.000 ICSUP BYCUS ICSUP x BYCUS 0.0341 2.357 Model 0.073 ICSUP LINKSUP ICSUP x LINKSUP 0.0191 1.2948 Model 0.2774 ICSUP LINKCUS ICSUP x LINKCUS 0.0461 3.2199 Model 0.0238 ICBUY WITHSUP ICBUY x WITHSUP 0.0589 4.1758 Model 0.007 ICBUY BYSUP ICBUY x BYSUP 0.0698 5.0026 Model 0.002 ICBUY WITHCUS ICBUY x WITHCUS 0.0975 7.1985 Model 0.000 ICBUY BYCUS ICBUY x BYCUS 0.0655 4.6751 Model 10 0.004 ICBUY LINKSUP ICBUY x LINKSUP 0.0601 4.2629 Model 11 0.006 ICBUY LINKCUS ICBUY x LINKCUS 0.07 5.0201 Model 12 0.002 P-value (F test) Coefficients t-value p-Value (t Test) -0.221 0.1818 0.0775 -1.3358 -1.2264 1.6376 0.1831 0.2215 0.1031 -0.2564 -0.1282 0.0764 -1.4016 -0.8169 1.5256 0.1626 0.415 0.1287 -0.002 0.1726 0.0062 -0.0102 0.9627 0.1105 0.9919 0.3369 0.9121 -0.0226 0.0501 0.0176 -0.1325 0.3049 0.349 0.8947 0.7608 0.7275 -0.0877 -0.047 0.0345 -0.556 -0.3215 0.7694 0.5788 0.7482 0.4426 -0.0484 0.0567 0.0196 -0.3335 0.3989 0.4505 0.7391 0.6904 0.6528 0.0503 -0.0931 0.0355 0.292 -0.5736 0.7149 0.7706 0.5669 0.4755 -0.1039 -0.1658 0.0721 -0.5325 -0.9976 1.3654 0.595 0.3197 0.1737 0.0557 0.1238 0.0107 0.3462 0.8500 0.2332 0.7296 0.3963 0.8158 -0.0188 -0.1187 0.053 -0.1143 -0.7201 1.0697 0.9091 0.4723 0.2861 0.0832 -0.0346 0.0224 0.449 -0.2122 0.4399 0.6539 0.8322 0.6605 0.0426 -0.0181 0.0286 0.3129 -0.132 0.6974 0.7547 0.8951 0.4864 51 SC information sharing with suppliers SC information sharing with Customers SC information sharing bY suppliers SC information sharing bY customers Supply chain Coordination Interorganizational Coordination with Supplier Ability to meet customers’ quality needs Interorganizational Coordination with Buyers IT link with Suppliers IT link with Customers Appendix C 2: Summarized moderating effects on Quality performance Dependent variables: Cost performance 52 Appendix C 3: Hierarchical regression analysis (Dependent variable: COSTCN) Hierarchical regression analysis (Dependent variable: COSTCN) Independent Variables R-square F Statistic ICSUP WITHSUP ICSUP x WITHSUP 0.1381 10.6863 Model 0.000 ICSUP BYSUP ICSUP x BYSUP 0.1352 10.421 Model 0.000 ICSUP WITHCUS ICSUP x WITHCUS 0.2087 17.5825 Model 0.000 ICSUP BYCUS ICSUP x BYCUS 0.2315 20.0822 Model 0.000 ICSUP LINKSUP ICSUP x LINKSUP 0.1813 14.7626 Model 0.000 ICSUP LINKCUS ICSUP x LINKCUS 0.2089 17.5991 Model ICBUY WITHSUP ICBUY x WITHSUP 0.1838 15.0118 Model 0.000 ICBUY BYSUP ICBUY x BYSUP 0.1934 15.9832 Model 0.000 ICBUY WITHCUS ICBUY x WITHCUS 0.2443 21.5552 Model 0.000 ICBUY BYCUS ICBUY x BYCUS 0.2516 22.41 Model 10 0.000 ICBUY LINKSUP ICBUY x LINKSUP 0.2439 21.5089 Model 11 0.000 ICBUY LINKCUS ICBUY x LINKCUS 0.209 17.6098 Model 12 0.000 P-value (F test) Coefficients t-value p-Value (t Test) -0.2282 -0.1678 0.1263 -0.9822 -0.806 1.9009 0.3272 0.4212 0.0587 -0.4199 -0.418 0.1897 -1.6218 -1.8817 2.6754 0.1064 0.0613 0.0081 -0.1872 -0.0417 0.1239 -0.6717 -0.1674 1.585 0.5026 0.8673 0.1145 0.0642 0.2152 0.0483 0.2822 0.9815 0.7201 0.7781 0.3276 0.4723 -0.1173 0.0342 0.0802 -0.5452 0.1713 1.3099 0.5862 0.8642 0.1917 -0.2743 -0.1956 0.1522 -1.3903 -1.0118 2.5739 0.166 0.3129 0.0108 0.0163 -0.0773 0.0911 0.0682 -0.3423 1.3199 0.9457 0.7325 0.1884 -0.5598 -0.6236 0.2524 -2.0614 -2.6964 3.4354 0.0406 0.0076 0.0007 -0.5482 -0.4413 0.242 -2.4936 -2.2159 3.8612 0.0135 0.0278 0.0002 -0.4365 -0.3348 0.2075 -1.9894 -1.5182 3.1311 0.048 0.1305 0.002 -0.2301 -0.1917 0.1501 -0.9261 -0.8776 2.203 0.3555 0.3812 0.0287 -0.1438 -0.1664 0.1287 -0.7673 -0.8812 2.2795 0.4438 0.3793 0.0237 53 SC information sharing with suppliers SC information sharing with Customers SC information sharing bY suppliers SC information sharing bY customers Supply chain Coordination Interorganizational Coordination with Supplier Ability to meet customers’ cost needs Interorganizational Coordination with Buyers IT link with Suppliers IT link with Customers Appendix C 4: Summarized moderating effects on Cost performance Dependent variables: Speed performance 54 Appendix C 5: Hierarchical regression analysis (Dependent variable: SPEEDCN) Independent Variables ICSUP WITHSUP ICSUP x WITHSUP ICSUP BYSUP ICSUP x BYSUP ICSUP WITHCUS ICSUP x WITHCUS ICSUP BYCUS ICSUP x BYCUS ICSUP LINKSUP ICSUP x LINKSUP ICSUP LINKCUS ICSUP x LINKCUS ICBUY WITHSUP ICBUY x WITHSUP ICBUY BYSUP ICBUY x BYSUP ICBUY WITHCUS ICBUY x WITHCUS ICBUY BYCUS ICBUY x BYCUS ICBUY LINKSUP ICBUY x LINKSUP ICBUY LINKCUS ICBUY x LINKCUS Hierarchical regression analysis (Dependent variable: SPEEDCN) R-square F Statistic P-value (F test) Coefficients t-value Model 0.0897 6.5729 0.000 -0.0806 -0.4197 -0.2259 -1.3126 0.0896 1.6321 Model 0.095 6.9958 0.000 -0.1644 -0.7718 -0.2581 -1.4121 0.1065 1.8265 Model 0.1951 16.1567 0.000 0.2087 0.9234 0.3141 1.5532 -0.01 -0.1583 Model 0.1552 12.2454 0.000 0.2025 1.0559 0.2434 1.3167 -0.0073 -0.128 Model 0.0951 7.0067 0.000 -0.0554 -0.3044 -0.1555 -0.9209 0.0749 1.4464 Model 0.1449 11.2925 0.000 -0.2701 -1.6369 -0.3225 -1.9956 0.1452 2.9366 Model 0.155 12.2314 0.000 -0.1373 -0.7004 -0.3455 -1.8702 0.1298 2.2984 Model 0.15 11.7684 -0.1795 -0.8005 -0.3501 -1.8337 0.133 2.1933 Model 0.2028 16.9609 -0.1085 -0.5974 -0.0368 -0.2237 0.0908 1.7545 Model 10 0.1704 13.6907 -0.0616 -0.3317 -0.1262 -0.6757 0.0909 1.6196 Model 11 0.1446 11.2738 0.0996 0.4684 -0.0751 -0.4017 0.0524 0.8985 Model 12 0.1483 11.6113 0.0219 0.1398 -0.1774 -1.1254 0.0809 1.7176 p-Value (t Test) 0.6752 0.1908 0.1042 0.4411 0.1595 0.0693 0.3569 0.122 0.8744 0.2923 0.1894 0.8979 0.7611 0.3582 0.1496 0.1032 0.0473 0.0037 0.4845 0.0629 0.0226 0.4244 0.0682 0.0294 0.5509 0.8232 0.0809 0.7405 0.5 0.1069 0.64 0.6883 0.37 0.889 0.2618 0.0874 55 SC information sharing with suppliers SC information sharing with Customers SC information sharing by suppliers SC information sharing by customers Supply chain Coordination Interorganizational Coordination with Supplier Ability to meet customers’ speed needs Interorganizational Coordination with Buyers IT link with Suppliers IT link with Customers Appendix C 6: Summarized moderating effects on Speed performance Dependent variable: On-time delivery 56 Appendix C 7: Hierarchical regression analysis (Dependent variable: ONTIMN) Hierarchical regression analysis (Dependent variable: ONTIMCN) Independent Variables R-square F Statistic P-value (F test) Coefficients t-value Model ICSUP 0.1038 7.7235 0.000 -0.1391 -0.7508 WITHSUP -0.219 -1.3195 ICSUP x WITHSUP 0.1 1.8887 Model ICSUP 0.1003 7.4323 0.000 -0.1595 -0.7727 BYSUP -0.2483 -1.402 ICSUP x BYSUP 0.1045 1.8484 Model ICSUP 0.25 22.2236 0.000 0.4535 2.1387 WITHCUS 0.5785 3.0494 ICSUP x WITHCUS -0.0834 -1.4023 Model ICSUP 0.1995 16.6177 0.000 0.2964 1.6337 BYCUS 0.3851 2.2021 ICSUP x BYCUS -0.0396 -0.74 Model ICSUP 0.1076 8.0377 0.0184 0.1051 LINKSUP -0.0234 -0.1436 ICSUP x LINKSUP 0.045 0.9012 Model ICSUP 0.1451 11.3114 0.000 0.0239 0.1488 LINKCUS 0.0361 0.2296 ICSUP x LINKCUS 0.0447 0.93 Model ICBUY 0.1656 13.2274 0.1183 0.625 WITHSUP -0.0847 -0.4748 ICBUY x WITHSUP 0.0547 1.0018 Model ICBUY 0.1543 12.1629 0.1289 0.5929 BYSUP -0.1067 -0.5766 ICBUY x BYSUP 0.0512 0.8713 Model ICBUY 0.2483 22.025 -0.0466 -0.2718 WITHCUS 0.0613 0.3951 ICBUY x WITHCUS 0.0707 1.4477 Model 10 ICBUY 0.2046 17.1523 0.1308 0.74 BYCUS 0.1203 0.677 ICBUY x BYCUS 0.0261 0.4897 Model 11 ICBUY 0.1776 14.3993 0.3939 1.9446 LINKSUP 0.2103 1.1814 ICBUY x LINKSUP -0.0301 -0.5428 Model 12 ICBUY 0.1732 13.9683 0.2289 1.5283 LINKCUS 0.0963 0.6384 ICBUY x LINKCUS 0.0082 0.1828 p-Value (t Test) 0.4537 0.1885 0.0604 0.4406 0.1625 0.066 0.0337 0.0026 0.1624 0.1039 0.0288 0.4602 0.9164 0.8859 0.3686 0.8819 0.8186 0.3535 0.5327 0.6354 0.3176 0.5539 0.5649 0.3846 0.7861 0.6932 0.1493 0.4602 0.4992 0.6249 0.0532 0.2388 0.5879 0.128 0.524 0.8551 57 SC information sharing with suppliers SC information sharing with Customers SC information sharing bY suppliers SC information sharing bY customers Supply chain Coordination Interorganizational Coordination with Supplier Ability to meet customers’ on-time delivery needs Interorganizational Coordination with Buyers IT link with Suppliers IT link with Customers Appendix C 8: Summarized moderating effects on On-time delivery performance 58 ... ABBREVIATIONS SC Supply chain SCC Supply chain coordination SCF Supply chain flexibility SCP Supply chain performance IOC Inter-organizational coordination ICSUP Inter-organizational coordination with...VIETNAM NATIONAL UNIVERSITY, HANOI VIETNAM JAPAN UNVERSITY DUONG THI MINH NGUYET EFFECT OF SUPPLY CHAIN COORDINATION ON SUPPLY CHAIN FLEXIBILITY: EMPIRICAL EVIDENCE FROM MANUFACTURING COMPANIES. .. ? ?EFFECT OF SUPPLY CHAIN COORDINATION ON SUPPLY CHAIN FLEXIBILITY: EMPIRICAL EVIDENCE FROM MANUFACTURING COMPANIES? ?? is the results of my own study and has never been published in any work of others