Inventory management strategies propensity toward supply chain management in the aerospace industry in Malaysia : the moderating effect of financial risk consideration
This thesis examined the relationship between inventory management strategies (IMS) and supply chain management (SCM) performance in the aerospace industry, an advanced and high technology industry that is characterized by a high working capital with potential huge losses if something goes wrong. Th...
Saved in:
Main Author: | |
---|---|
Format: | Thesis |
Language: | eng eng |
Published: |
2017
|
Subjects: | |
Online Access: | https://etd.uum.edu.my/7360/1/s94197_01.pdf https://etd.uum.edu.my/7360/2/s94197_02.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my-uum-etd.7360 |
---|---|
record_format |
uketd_dc |
institution |
Universiti Utara Malaysia |
collection |
UUM ETD |
language |
eng eng |
advisor |
Minai, Mohd. Sobri Md. Zain, Ali Yusob |
topic |
TS155-194 Production management Operations management |
spellingShingle |
TS155-194 Production management Operations management Khor, Wei Min Inventory management strategies propensity toward supply chain management in the aerospace industry in Malaysia : the moderating effect of financial risk consideration |
description |
This thesis examined the relationship between inventory management strategies (IMS) and supply chain management (SCM) performance in the aerospace industry, an advanced and high technology industry that is characterized by a high working capital with potential huge losses if something goes wrong. The IMS dimensions of stock holding, safety stock, storage policy and inventory risk were tested against the SCM performance dimensions of on-time delivery (OTD), balance score card (BSC), inventory turn and factors related to inventory-financial risks. The quantitative research methodology was opted for this study. Data collection was performed from January to May 2016, involving 81 respondents related to the aerospace industry in Malaysia. This accounted for 40.5% of the population in the country. The Statistical Package for the Social Sciences (SPSS) was used to assist in the analysis. The findings indicated that only two dimensions of the IMS are used as predictors for the SCM performance. It also revealed that every dimension of the SCM performance is significant with only one dimension of the IMS. The most important dimension of SCM performance is the inventory risk dimension. Contrary to the initial expectation, storage policy is found to be insignificant for the theoretical relationship in this industry and the financial risk factor is found to be a weak moderator in the proposed relationship. The findings also suggested the need to examine financial risk consideration as the independent variable when examining the SCM performance in the aerospace industry. Moreover, these findings can be considered unique as they offer different contributing dimensions to the SCM performance and these should be the eye-opener to the organizations that have different attributes, in particular the high technology industry that involves high working capital. |
format |
Thesis |
qualification_name |
other |
qualification_level |
Doctorate |
author |
Khor, Wei Min |
author_facet |
Khor, Wei Min |
author_sort |
Khor, Wei Min |
title |
Inventory management strategies propensity toward supply chain management in the aerospace industry in Malaysia : the moderating effect of financial risk consideration |
title_short |
Inventory management strategies propensity toward supply chain management in the aerospace industry in Malaysia : the moderating effect of financial risk consideration |
title_full |
Inventory management strategies propensity toward supply chain management in the aerospace industry in Malaysia : the moderating effect of financial risk consideration |
title_fullStr |
Inventory management strategies propensity toward supply chain management in the aerospace industry in Malaysia : the moderating effect of financial risk consideration |
title_full_unstemmed |
Inventory management strategies propensity toward supply chain management in the aerospace industry in Malaysia : the moderating effect of financial risk consideration |
title_sort |
inventory management strategies propensity toward supply chain management in the aerospace industry in malaysia : the moderating effect of financial risk consideration |
granting_institution |
Universiti Utara Malaysia |
granting_department |
Othman Yeop Abdullah Graduate School of Business |
publishDate |
2017 |
url |
https://etd.uum.edu.my/7360/1/s94197_01.pdf https://etd.uum.edu.my/7360/2/s94197_02.pdf |
_version_ |
1747828204915130368 |
spelling |
my-uum-etd.73602021-05-10T00:45:01Z Inventory management strategies propensity toward supply chain management in the aerospace industry in Malaysia : the moderating effect of financial risk consideration 2017 Khor, Wei Min Minai, Mohd. Sobri Md. Zain, Ali Yusob Othman Yeop Abdullah Graduate School of Business Othman Yeop Abdullah Graduate School of Business TS155-194 Production management. Operations management This thesis examined the relationship between inventory management strategies (IMS) and supply chain management (SCM) performance in the aerospace industry, an advanced and high technology industry that is characterized by a high working capital with potential huge losses if something goes wrong. The IMS dimensions of stock holding, safety stock, storage policy and inventory risk were tested against the SCM performance dimensions of on-time delivery (OTD), balance score card (BSC), inventory turn and factors related to inventory-financial risks. The quantitative research methodology was opted for this study. Data collection was performed from January to May 2016, involving 81 respondents related to the aerospace industry in Malaysia. This accounted for 40.5% of the population in the country. The Statistical Package for the Social Sciences (SPSS) was used to assist in the analysis. The findings indicated that only two dimensions of the IMS are used as predictors for the SCM performance. It also revealed that every dimension of the SCM performance is significant with only one dimension of the IMS. The most important dimension of SCM performance is the inventory risk dimension. Contrary to the initial expectation, storage policy is found to be insignificant for the theoretical relationship in this industry and the financial risk factor is found to be a weak moderator in the proposed relationship. The findings also suggested the need to examine financial risk consideration as the independent variable when examining the SCM performance in the aerospace industry. Moreover, these findings can be considered unique as they offer different contributing dimensions to the SCM performance and these should be the eye-opener to the organizations that have different attributes, in particular the high technology industry that involves high working capital. 2017 Thesis https://etd.uum.edu.my/7360/ https://etd.uum.edu.my/7360/1/s94197_01.pdf text eng public https://etd.uum.edu.my/7360/2/s94197_02.pdf text eng public other doctoral Universiti Utara Malaysia Alvarado, U.Y., & Kotzab, H. (2001). Supply chain management: the integration of logistics in marketing. Industrial Marketing Management, 30 (2): 183-198. Altay, N. and Ramirez, A. (2010), “Impact of disasters on firms in different sectors: implications for supply chains”, Journal of Supply Chain Management, Vol. 46 No. 4, pp. 59-80. Anna, S. (2013). Analysis of challenges of medical supply chains in sub-Saharan Africa regarding inventory management and transport and distribution. Armstrong, J. S., & Overton, T. S. (1977). Estimating nonresponse bias in mail surveys. Journal of marketing research, 396-402. Aref A. Hervani, Marilyn M. Helms, Joseph Sarkis, (2005). "Performance measurement for green supply chain management", Benchmarking: An International Journal, Vol. 12 Iss: 4, pp. 330–353 Arntzen, B. C., G. G. Brown, T. P. Harrison, and L. Trafton (1995). Global Supply Chain Management at Digital Equipment Corporation. Interfaces, Jan.-Feb., 1995. Austin Smyth, Bernd Huber & Edward Sweeney (2007). Integrated Logistics & Supply Chain Management : The State of of Practise in Ireland. Aviv, Y. (1998). The effect of forecasting capability on supply chain coordination. Working paper, Washington University, St. Louis, MO. Balakannan, K., Nallusamy, S., Chakraborty, P. S., & Majumdar, G. (2016). Performance Evaluation of Supply Chain and Logistics Management System using Balanced Score Card for Efficiency Enhancement in Indian Automotive Industries. Indian Journal of Science and Technology, 9(35). Ballou, R.H.(2000). Evaluating inventory management performance using a turnover curve. International Journal of Physical Distribution & Logistics Management, 30 (1), 72-85 Berling,P. & Rosling,K. (2005). “The effects of Financial Risks on Inventory Policy”. Journal of Management. Retrieved from http://www.jstor.org/stable/20110469. Berling,P. (2005). On determination of inventory and parameter. Thesis, Department of Industrial Management and Logistics, Lund University, Sweden. Bernoulli, D. (1738,1954). Specimen tbeoriae novae de mensura sortis. Commentarii Academiae Scientiarum Imperialis Petropolitanea, 5,175-192. English translation in Econometica, 22 (1954). 22-36. Bernstein, P.(1996). Against the gods: The remarkable Story of risk, Wiley, Chichester. Blome, C. and Schoenherr, T. (2011). Supply risk management in financial crises – A multiple case study approach. International Journal of Production Economics 134 (1): 43-57. Bode, C., Wagner, S.M., Petersen, K.J., and Ellram, L.M., 2011. Understanding responses to supply chain disruptions: Insights from information processing and resource dependence perspectives. Academy of Management Journal, 54 (4), 833- 856. Bouakiz, M and Sobel, Matthew J, 1992. Inventory Control with an Exponential Utility Criterion. Page Range: 603 - 608 Bozarth, C. C., Handfield, R. B., & Weiss, H. J. (2008). Introduction to operations and supply chain management. Upper Saddle River, NJ: Pearson Prentice Hall. Breitman, R. L., and J. M. Lucas. (1987). PLANETS: A Modeling System for Business Planning. Interfaces, 17, Jan.-Feb., 94-106. Brewer, P. C., Speh, T. W. (2000). “Adapting the balanced scorecard to supply chain management”, Supply Chain Management Review, Vol. 5, No. 2, 48–56. Bullinger, H.-J., Kühner, M., van Hoof, A. (2002). “Analyzing supply chain performance using a balanced measurement method”, International Journal of Production Research, Vol. 40, No. 15, 3533–3543. business review. Capkun, V, Hameri, AP, Weiss, Lawrence A, (2009) "On the relationship between inventory and financial performance in manufacturing companies", International Journal of Operations & Production Management, Vol. 29 Iss: 8, pp.789 - 806 Cavinato J.L., (1991). “Identifying Interfirm Total Cost Advantages for Supply Chain Competitiveness,” International Journal of Purchasing and Material Management, Vol. 27, No. 4, pp. 10-15. Chatain, O. (2011). Value creation, competition, and performance in buyer–supplier relationships. Strategic Management Journal, 32 (1), 76–102. Chau, I., Norman, A. R., Cunningham, D., Waters, J. S., Oates, J., & Ross, P. J. (2004). Multivariate prognostic factor analysis in locally advanced and metastatic esophago-gastric cancer—pooled analysis from three multicenter, randomized, controlled trials using individual patient data. Journal of Clinical Oncology, 22(12), 2395-2403. Chen, F and Samroengraja, R. (2000). A staggered ordering policy for one warehouse multi-retailer systems. Oper. Res. 48(2) 281–293. Chen, F., B. Yu. (2001a). Quantifying the value of lead-time information in a singlelocation inventory system. Working paper, Graduate School of Business, Columbia University, New York, NY. Chen, F., B. Yu. (2001b). A supply chain with asymmetric capacity information. Working paper, Graduate School of Business, Columbia University, New York, NY. Chen, H., Daugherty, P. J., & Roath, A. S. (2009). Defining and operationalizing supply chain process integration. Journal of Business Logistics, 30 (1), 63–69 Chenhall, R.H., 2003. Management control systems design within its organizational context: findings from contingency-based research and directions for the future. Accounting, Organizations and Society, 28 (2-3), 127-168. Chen, I.J. and Paulraj, A., (2004). Towards a theory of supply chain management: the constructs and measurements. Journal of Operations Management, 22 (2), 119-150. Chiang, Z. (2005). “A Dynamic Decision Approach for Long-Term Vendor Selection Based on AHP and BSC”, Proceedings of International Conference on Intelligent Computing, ICIC 2005, Hefei, China, Part II, pp. 257-265. Choi, T. Y., Dooley, K. J., & Rungtusanatham, M. (2001). Supply networks and complex adaptive systems: Control versus emergence. Journal of Operations Management, 19 (3), 351–366. Chopra, S. and Meindl, P. (2001). Supply Chain Management: Strategy, Planning, and Operation, Prentice-Hall, Upper Saddle River, N.J. Chopra, S., & Sodhi, M. S. (2004). Managing risk to avoid supply-chain breakdown. MIT Sloan management review, 46(1), 53. Chou, YC., Lu, CH., and Tang, YY. (2012). “Identifying inventory problems in the aerospace industry using the theory of constraints”, International Journal of Production Research Vol. 50 , Iss. 16,2012 Christopher, M.(1994). Logistics and Supply Chain Management, Pitman Publishing, New York, NY Christopher, M., & Holweg, M. (2017). Supply Chain 2.0 revisited: a framework for managing volatility-induced risk in the supply chain. International Journal of Physical Distribution & Logistics Management, 47(1). Christopher, M. & Lee, H. (2001) Supply chain confidence, Working paper, Cranfield Scholl of Management, England. Churchill Jr., G.A., & Iacobucci, D. (2004). Marketing Research – methodological foundations (9th ed.). Mason, OH: Thomson CIA World Factbook (August 23, 2014). Malaysia Economics. Retrived from : https://www.cia.gov/library/publications/the-world-factbook/geos/my.html Coakes, S. J., Steed, L. G., Coakes, S. J., & Steed, L. G. (2003). Multiple response and multiple dichotomy analysis. SPSS: analysis without anguish: Version 11.0 for Windows, 215-224. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed., pp. 1-559). London: Lawrence Erlbaum Associates Publishers. Cohen, M. A. and H. L. Lee. (1985). Manufacturing Strategy Concepts and Methods, in Kleindorfer, P. R. Ed., The Management of Productivity and Technology in Manufacturing, 153-188. Cohen, M. A. and H. L. Lee. (1988). Strategic Analysis of Integrated Production- Distribution Systems: Models and Methods. Operations Research, 36, 2, 216-228. Cohen, M. A. and H. L. Lee. (1989). Resource Deployment Analysis of Global Manufacturing and Distribution Networks. Journal of Manufacturing and Operations Management, 81-104. Combs, J. G., Crook, T. R., & Shook, C. L. (2005). The variableality of organizational performance and its implications for strategic management research. In D. J. Ketchen (Ed.), Research methodology in strategy and management (Vol. 2, pp. 259- 286). Amsterdam: Elsevier. Cooper, M. C., Lambert, D. M., & Pagh, J. D. (1997). “Supply chain management: More than a new name for logistics”. The International Journal of Logistics Management, Vol. 8 No. 1, pp. 1-14 www.intechopen.com Cronbach, L.J. (1951), “Coefficient alpha and the internal structure of test”, Psychometrika, Vol. 16, pp. 297-334. Croxton, K. L., Garcia-Dastugue, S. J., Lambert, D. M., & Rogers, D. S. (2001). The supply chain management processes. International Journal of Logistics Management, 12 (2), 13–36. Cynthia, W., et al., (2006). What is the “right” inventory management approach for a purchase item?. A journal from Operation and Production Management. Retrived from http://dx.doi.org/10.1108/01443570610637012 Devaraj, S., Krajewski, L., & Wei, J. C. (2007). Impact of eBusiness technologies on operational performance: The role of production information integration in the supply chain. Journal of Operations Management, 25 (6), 1199–1216. Dimitrious, P.K. (2008). The effect of inventory management on firm performance. International Journal of Productivity and Performance management. Retrived from: http.://dx.doi.org/10.1108/174104100810881827. Dooley, F (2015). Logistic, Inventory Control and Supply Chain management. Retrived from: http://www.choicesmagazine.org/2005-4/ supplychain/2005-4-14.htm Doukas, H., Flamos, A., and Psarras, J. (2011). Risk on the security of oil and gas. Energy Sources, Part B: Economics, Planning, and Policy 6 (4): 417-425. Douglas M. Lambert, Martha C. Cooper, and Janus D. Pagh (1998). “Supply Chain Management: Implementation Issues and Research Opportunities,” The International Journal of Logistics Management, Vol. 9, No. 2 (1998), p. 2 Dubelaar, C., Chow, G., & Larson, P. D. (2001). Relationships between inventory, sales and service in a retail chain store operation. International Journal of Physical Distribution & Logistics Management, 31(2), 96-108. Economy Watch (2015). ref: http://www.economywatch.com/ Ermy Mohd, AR (2015). Head of Division for Business Supply Chain at CTRM Aero Composites Sdn Bhd, Malaysia Engardio, P. (2001). Addressing supply chain broke down, Business Week, March 19, 2001. Issue:3724., p. 41. Erengue S. S., Simpson N. C., Vakharia A. J. (1999). Integrated production distribution planning in supply chain: an invited review. European Journal of Operational Research, No.115, 219~236 Esposito Vinzi, V., Chin, W.W., Henseler, L., & Wang, H.(2010). Editorial: Perspectives on partial least squares. In V. Esposito Vinzi, W.W. Chin, J. Henseler, & H. Wang (Eds), Handbook of partial least square: Concepts, methods and applications (pp. 1-813). Berlin Heidelberg: Springer European Journal of Operational Research. Eeckhoudt, L., & Schlesinger, H. (2006). Putting risk in its proper place. The American Economic Review, 96(1), 280-289. Fana, M. NengPai Linb, Chwen Sheu, (2007), Choosing a project riskhandling strategy: An analytical model, International journal Production Economics. Fawcett S. E. and Magnan G. M. (2002) ‘The Rhetoric and Reality of Supply Chain Integration’ International Journal of Physical Distribution & Logistics Management, Vol. 32, No. 5, 339-361. Fawcett, S., Ellram, L., & Ogden, J.(2006). Upper Saddle Rive. Prentice- Hall,NJ. Fawcett, S. E., Waller, M. A., & Fawcett, A. M. (2010). Elaborating a dynamic systems theory to understand collaborative inventory successes and failures. The International Journal of Logistics Management, 21(3), 510-537. Felea, M. (2008) The role of inventory in the supply chain, Amfiteatru Economic, 24, p.113 Fiedler, F.E., (1964). A contingency model of leadership effectiveness. Advances in Experimental Social Psychology, 1, 149-190. Fisher, L.M. (1997), “What is the right supply chain for your products?”, Harvard Business Review, March-April, pp. 105-16. Flynn, B. B., Huo, B., & Zhao, X. (2010). The impact of supply chain integration on performance: A contingency and configuration approach. Journal of Operations Management, 28 (1), 58–71. Flynn, B.B., Sakakibara, S., and Schroeder, R.G., (1995). Relationship between JIT and TQM: practices and performance. Academy of Management Journal. 38(5), 1325– 1360. http://dx.doi.org/10.2307/256860 Fone, M. and Young, P. (2000), Public Sector Risk management, Butterworth- Heinemann, London Ford, D. (1990). Part VII: Networks. In D. Ford (Ed.), Understanding business markets: Interaction, relationships, and networks. London, UK: Academic Press. Fredendall, L. D., & Hill, E. (2016). Basics of supply chain management. CRC Press. Frosdick, M. (1997), :The techniques of risk management are insufficient in themselves”, Disaster Prevention and Management, Vol.6 No. 3, pp. 165-77. Ganeshan, R., & Harrison, T. P. (1995). An introduction to supply chain management. Department of Management Science and Information Systems, Penn State University, 2-7. Gerard P Cachon & Marshall Fisher (2000). Journal on Supply Chain Inventory Management and the value of shared information. Gimenez, C. (2006). Logistics integration process in the food industrial. International Journal of Physical Distribution and Logistics Management, Vol. 36, No.3, 231-45. Glass, G. V. (1976). Primary, secondary, and meta-analysis of research. Educational researcher, 5(10), 3-8. Goldman, S. and Nagel, R. et al. (1995). Agile Competitors and Virtual Organizations: Strategies for Enriching the Customer, Van Nostrand Reinhold, New York, NY. Grose, V. (1992). “Risk management from a rechnological perspective”, The Geneva Papers on Risk and Insurance, Vol 12 No. 64, pp. 335-42. Gupta, A., Maranas, C.D. (2003). “Managing demand uncertainty in supply chain planning”, Computers & Chemical Engineering, Vol. 27, Iss. 8-9, pp. 1219-1227. Gyaneshwar Singh Kushwaha* and Deepak Barman, (2010). Development of a Theoretical Framework of Supply Chain Quality Management. Serbian Journal of Management 5 (1) (2010) 127 - 142 Hair Jr., J.F., Black, J. W., Babin, B.J.,& Anderson, E.R.(2010). Multivariate data analysis (Seventh Ed., pp. 1-758). Edinburgh: Pearson Educational Limited. Hair Jr., J.F., Hult, G.T.M., Ringle, C., & Sarstedt, M. (2013). A primer on partial least squares structural equation modelling (PLS-SEM) (pp. 1-307). SAGE Publications, Incorporated. Handfield, R.B., & Nichols Jr., E.L.(1999). Introduction to Supply Chain Management. Prentice Hall, Upper Saddler River, New Jersey. Harland, C., Brenchley, R. and Walker, H. (2003). “Risk in supply networks”, Journal of Purchasing and Supply management, Vol.9 No. 2, pp. 51-62. Harland, C., Knight, L., & Cousins, P. (2004). Supply chain relationships. Understanding Supply Chains: Concepts, Critiques & Futures, 209-227. Harpe, S. E. (2015). How to analyze Likert and other rating scale data. Currents in Pharmacy Teaching and Learning, 7(6), 836-850. Harrington, L.(1996), “Untapped savings abound”, Industry Week, 15 July, pp. 53-8. Harris, F. M. (1913). “How Many Parts to Make at Once,” Factory, The Magazine of Management 10:2, 135–136, 152. Reprinted in Operations Research 38:6 (1990), 947–950. Hendricks, K.B. and Singhal, V.R., (2005). An empirical analysis of the effect of supply chain disruptions on long-run stock price performance and equity risk of the firm. Production & Operations Management, 14 (1), 35-52. Hood, J. and Young, P. (2005), “Risk financing in UK local authorities: is there a case for risk pooling?”, International Journalof Public Sector management, Vol. 18 No. 6, pp. 563-78. Horvath, Laura. (2001). “Collaboration: the key to value creation in supply chain management”, Supply Chain Management: An International Journal, Vol. 6 No. 5, pp. 205-207 Hult, G. T. M., Ketchen, Jr, D. J., & Slater, S. F. (2004). Information processing, knowledge development, and strategic supply chain performance. The Academy of Management Journal, 47 (2), 241–253. Humble, J.W. (1971) Management by Objectives in Action London: McGraw-Hill (Jones, T. and Riley, D.W. (1985), ‘Using Inventory for Competitive Advantage through Supply Chain Management’ International Journal of Physical Distribution & Materials Management Vol. 15, No. 5, 16-26. Jamat, A & Asgari, F.(2010). Credit risk management in the banking system with the approach data mining, quantitative studies in Management, 1 (3): 115-126. James, B. Rice., & Federico Caniato, (2003). “Building a Secure & Resilient Supply Chain” Journal. Jeffrey Pfeffer, (1996). “When it comes to ‘best practices’—Why do smart organizations occasionally do dumb things?” Organizational Dynamics, summer 1996, p. 35. Journal of Marketing Research, 14(3), 396-402 Kancharla, S. P., & Hegde, V. G. (2016). Inferences about Supply Chain Practices using Financial Ratios. Journal of Supply Chain and Operations Management, 14(1), 144. Kaplan, R. Norton, D. (1993). “Putting the balanced scorecard to work”, Harvard Kaplan, R. Norton, D. (2004). Strategy Maps: Converting Intangible Assets to Tangible Outcomes, Harvard Business School Press. Burnett, K. (2002). Relationship fundraising: A donor-based approach to the business of raising money. John Wiley & Sons. Ketchen, D.J., &Giunipero, L. C. (2004). "The intersection of strategic management and supply chain management". Industrial marketing management, 33, 51-56. Kilgore, M. (2003), Mitigating Supply Chain Risks, White Paper, Chainalytics LLC, Atlanta, GA Kleindorfer, P. R. (2008a). Integrating Physical and Financial Risk Management in Supply Management. Book chapter in Risk Management for Commodity Markets edited by H. Geman. Kleindorfer, P. R. (2008b). Hedging Commodity Risks in Supply Management. Note for Encyclopedia of Quantitative Finance edited by Rama Cont, forthcoming from J. Wiley & Sons, New York. Kleindorfer, P. R., D. J. Wu. (2003). Integrating Long- and Short-Term Contracting via Business-to- Business Exchanges for Capital-Intensive Industries. Management Science, 49 (11), 1597-1615. Kleindorfer, P.R. and Saad, G.H., (2005). Managing disruption risks in supply chains. Production & Operations Management, 14 (1), 53-68. Kleindorfer, P.R., Belke, J.C., Elliott, M.R., Lee, K., Lowe, R.A., and Feldman, H.I., (2003). Accident epidemiology and the U.S. chemical industry: Accident history and worst-case data from RMP*info. Risk Analysis: An International Journal, 23 (5), 865-881. Knemeyer, A.M., Zinn, W., and Eroglu, C., (2009). Proactive planning for catastrophic events in supply chains. Journal of Operations Management, 27 (2), 141-153. Kouvelis, Panos; LI, Rong; and Ding, Qing.(2009). Inventory Management and Financial Hedging of Storable Commodities. Krajewski, L. J., Ritzman, L. P., & Malhotra, M. K. (2013). Operations management: processes and supply chains (Vol. 1). New York, NY: Pearson. Krupp, J. (1997). Safety stock management. Production and Inventory Management Journal 38 (3):11-18. Kuei, C.H., Madu, C.N., & Lin, C. (2001) The relationship between supply chain quality management practices and organizational performance. International Journal of Quality & Reliability Management, 18(8/9): 864–872. Lance R (2013). Program Manager of The Boeing Company in Seattle, based in Asia and China responsible for supplier’s performance and shipment fulfilment. Lawrence, P.R. and Lorsch, J.W., (1967). Differentiation and integration in complex organizations. Administrative Science Quarterly, 12 (1), 1-47. Leavy, B. (2005), “Supply chain effectiveness: strategy and integration”, Handbook of Business Strategy, Vol. 7 No. 1, pp. 331-6. Lee Calvin B. (2002). “Demand Chain Optimization – Pitfalls and Key Principles”, USA, Nonstop Solution Lee, B., Hong, M., Kang, J., Yim, B. J. (2007). “Modeling the Metrics for Measuring the Performance on Logistics Centers by BSC and ANP in Korean Context”, Proceedings of Portland International Conference on Management of Engineering & Technology, 2007 (PICMET 2007), Portland, USA. Lee, C., Lee, K. and Pennings, J.M. (2001), “Internal capabilities, external networks, and performance: a study on technology-based ventures”, Strategic Management Journal, Vol. 22 Nos 6/7, pp. 615-40. The case of ERP systems versus EMPs Lee, H.L., Padmanabhan, P., Whang, S., (1997). Information distortion in a supply chain: Lee, H.L., Padmanabhan, V., and Whang, S. (1997). The Bullwhip Effect in Supply Chains. Sloan Management Review, Spring 1997, 93-102. Lee, H.L.and Billington, C. (1992), “managing supply chain inventory: pitfalls and opportunities”, Sloan management Review, Spring, pp. 65-73. Lee, K.So, C Tang. (2000). The value of information sharing in a two level supply chain. Management Sci 46 (5) 626-643. Leung, L. C., Lam, K. C., Cao, D. (2006). “Implementing the Balanced Scorecard Using the Analytic Hierarchy Process & the Analytic Network Process”, Journal of the Operational Research Society, Vol. 57, pp. 682-691. Levy, D.L., (1997). Lean production in an international supply chain. Sloan Management Review 38 (2), 94–102. Lewis, M. (2003), “Cause, consequence and control: towards a throretical and practical model of operational risk”, Journal of Operational Management, Vol. 21 No.2, pp. 205-24 Lindgren, R., Stenmark, D. and Ljungberg, J. (2003), “Rethinking competence systems for knowledge-based organizations”, European Journal of Information Systems, Vol. 12 No. 1, pp. 18-29. Lockamy, A. and Smith, W.I. (2000). “Target costing for supply chain management: criteria and selection”, Industrial Management & Data Systems, Vol.100 No. 5, pp. 210-8 Long, R., Mohtar, S., & Ahmad, F. (2016) Systemic Perspective Of Work In Progress And On Time Delivery In Aerospace Composites Manufacturing Company in Malaysia. Journal of Technology and Operations Management 11(2), 99-106 Luthans, F., (1976). Introduction to management: A contingency approach. New York: McGraw-Hill. Manning, R. (2009). Using indicators to encourgae development: Lessons from the millennium development goals (No. 2009: 01). DIIS Reports/Danish Institute for International Studies. Matthew Rabin & Richard H Thaler (2001). Risk Aversion. Journal of Economics Perpestive. Vol 15, Number 1 Meier, R.L. and Humphreys, M.A. (1998), “The role of purchasing in the agile enterprise”, International Journal of Purchasing & Materials Management, Vol. 34, pp. 39-45. Mena, C., Humphries, A., & Choi, T. Y. (2013). Toward a theory of multi-tier supply chain management. Journal of Supply Chain Management, 49 (2), 58–77. MIGHT (2011). Malaysia Industry Government Group for High Technology MIGHT (2015). Growth of Aviation Industry & Space Industry. Retrived from : Http://www.might.org.my/en/solutionpages/ aerospace.aspx Minai Mohd Sobri and Esuh Ossai-Igwe Lucky, (2016). Entrepreneurial Attitudes During Economic Turbulence: Evidence from Nigeria. International Business Management, 10: 2391-2397. Mitroff, I.I. and Alpaslan, M.C., (2003). Preparing for evil. Harvard Business Review, 81 (4), 109-115. Mitchell, V. W. (1999). Consumer perceived risk: conceptualisations and models. European Journal of marketing, 33(1/2), 163-195. Muller, M. (2003) Essentials of inventory management, AMACOM American Management, pp. 2-4. Murray, J. (2013). Likert data: what to use, parametric or non-parametric?. International Journal of Business and Social Science, 4(11). Namit, K. and J. Chen. (1999). Solutions to the inventory model for gamma lead-time demand. International Journal of Physical Distribution & Logistics Management 29 (2):138-154. Narasimhan, R., Swink, M., & Viswanathan, S. (2010). On decisions for integration implementation: An examination of complementarities between product- process technology integration and supply chain integration. Decision Sciences, 41 (2), 355–372. Nevill, S. J., Rush, D. G., & Sadd, D. W. (1998). Real-world examples of inventory effectiveness. SUPPLY CHAIN MANAGEMENT REVIEW, V. 2, NO. 3 (FALL 1998), P. 39-46: ILL. Nunnally, J.C. (1988). Psychometric Theory, McGraw-Hill, Englewood Cliffs, NJ. Oliver, R.K. and Webber, M.D. (1992).“Supply-chain management: logistics catches up with strategy”, in Christopher, M. (Ed.), Logistics: The Strategic Issues, Chapman & Hall, London Osadchiy, N., Gaur, V., & Seshadri, S. (2015). Systematic risk in supply chain networks. Management Science, 62(6), 1755-1777. Otley, D.T., (1980). The contingency theory of management accounting: Achievement and prognosis. Accounting, Organizations and Society, 5 (4), 413-428. Pathak, S. D., Day, J. M., Nair, A., Sawaya, W. J., & Kristal, M. M. (2007). Complexity and adaptivity in supply networks: building supply network theory using a complex adaptive systems perspective. Decision Sciences, 38(4), 547-580. Paulraj, A., & Chen, I. J. (2007). Strategic buyer–supplier relationships, information technology and external logistics integration. Journal of Supply Chain Management, 43 (2), 2–14. 84. Ponte, B., Sierra, E., de la Fuente, D., & Lozano, J. (2017). Exploring the interaction of inventory policies across the supply chain: An agent-based approach. Computers & Operations Research, 78, 335-348. Pujawan, N (2008), Augmenting the lot sizing order quantity when demand is probabilistic. Pyke, D.F. and Cohen, M.A. (1994), “”Multiproduct integrated production-distribution systems”, European Journal of Operational Research, Vol. 74, pp. 18-49. Quayle,M.(1998)”Supplier Development and Supply Chain Management Attitudes Queseda, G., Rachamadagu, R. and Martinez, J.L. (2008), “Linking order-winning and external supply chain integration strategies”, Supply Chain Management: An International Journal, Vol. 13 No. 4, pp. 296-303. Rabin, M. (2000). "Risk Aversion and Expected-Utility Theory: A Calibration Theorem." Econometrica. September, 68:5, pp. 1281-1292. Raisinghani, M.S. and Meade, L. (2005), “Strategic decisions in supply-chain intelligence using knowledge management: an analytic-network-process framework”, Supply Chain Management: An International Journal, Vol. 10 No. 2, pp. 114-21. Rajabzadeh,A, Hassanzadeh,A.R, Nalchigar,N, and Nalchigar,S.(2010). Providing model of factors affecting Risk in electronic supply chain and its impact on organizational performance, Journal of Information Technology Management, Vol 2, No 4, pp. 59- 78. Ramani, G., & Kumar, V. (2008). Interaction orientation and firm performance. Journal of marketing, 72(1), 27-45. Ravi, V., Shankar, R., Tiwari, M. K. (2005). “Analyzing Alternatives in Reverse Logistics for End-Of-Life Computers: ANP and Balanced Scorecard Approach”, Computers & Industrial Engineering, Vol. 48, pp. 327-356. Rego, J.R. and M. A. Mesquita. (2011). Controle de estoque de peças de reposição em local único: uma revisão da literatura. Producao 21(4): 645-666. Romano, P., & Vinelli, A. (2001) Quality management in a supply chain perspective, strategies and operative choices in a textile apparel network. International Journal of Operations & Production Management, 21:446–460. Rosa, H., S.F. Mayerle, and M.B. Gonçalves., (2010). Controle de estoque por revisão contínua erevisão periódica: uma análise comparativa utilizando simulação. Producao 20 (4):626-638 Rummel, R.J. (1970). Applied factor analysis. Evanston, IL: Northwestern University Press. Schilling, M. A., & Steensma, H. K. (2001). The use of modular organizational forms: An industry-level analysis. Academy of management journal, 44(6), 1149-1168. Schmenner, R. W. (2001). Looking ahead by looking back: swift, even flow in the history of manufacturing. Production and Operations Management, 10(1), 87-96. Schonberger, R. (1990). Building a chain of customers: Linking business functions to create the world class company. Simon and Schuster. Schweitzer, M. E., & Cachon, G. P. (2000). Decision bias in the newsvendor problem with a known demand distribution: Experimental evidence. Management Science, 46(3), 404-420. Sekaran, U. (2003). Research Methods For Business: A Skill Building Approach. Australia: John Wiley & Sons, ISBN 9814126748 Sekaran, U. (2005). Research methods for business: A skill-building approach (4th edition). New York: John Wiley & Sons. Sekaran, U. (2006). Research Methods for Business - A Skill Building Approach (4th ed.). India: John Wiley & Sons, Inc. Sekaran, U (2011) Sekaran, U. & Bougie, R (2010). Research methods for business. A skill building approach (5th ed., pp. 1-387). United Kingdom: John Weley & Sons Ltd Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill building approach. John Wiley & Sons. Shah, R. and Shin, H. (2007). “Relationship among information technology, inventory and profitability: an investigation of level of invariance using sector level data”. Journal of Operation Management, 25(4), 768-84. management, 6(3), 441-56 Sheffi, Y. (2002) Supply Chain management under the threat if international terrorism, International Journal of Logistics Management, 12,(2), pp.1-12. Sheffi, Y. and Rice, J.B., (2005). A supply chain view of the resilient enterprise. MIT Sloan Management Review, 47 (1), 41-48. Silva, G.L.C. (2009). Modelo de estoque para peças de reposição sujeitas à demanda intermitentee lead-time estocástico. Master’s diss., Federal University of Minas Gerais. Simchi-Levi, D., Kaminsky, P. and Simchi-Levi, E. (2000). Designing and Managing the Supply Chain: Concepts, Strategies and Case Studies, Irwin McGraw-Hill Companies Inc., Boston, MA. Simchi-Levi, D. and Mart´ınez-de-Alb´eniz V. (2005). A Portfolio Approach to Procurement Contracts. Production and Operations Management. 14 (1), 90-114. Simon, P., Hillson, D. and Newland, K. (1997). Project Risk Analysis and Management Guide (PRAM), Association for Project Management, Norwich. Simons, R. (1999). How risky is your company? Harward Business Review, 77, (3), pp. 85-94 Sinha R.K., and A. Subash Babu, (1998). "Quality of customer service in supply chain system: a diagnostic study", International Journal of Quality & Reliability Management, Vol. 15 Iss: 8/9, pp.844 – 859 Slack, N. and Lewis, M. (2001). Operations Strategy, 3rd ed., Prentice-Hall, Harlow. Slack, N., Chambers, S., Harland, C., Harrison, A. and Johnston, R. (1995), Operations management, Pitman Publishing, London. Smeltzer, L.R. and Siferd, S.P., (1998). Proactive supply management: The management of risk. International Journal of Purchasing & Materials Management, 34 (1), 38- 45. Smyth, A., Huber, B., Sweeney, (2007). E.: Integrated logistics and supply chain management: the state of practice in Ireland. Proceedings of the 11th World Conference on Transport Research, University of California, Berkley, June, 2007. Souter, G. (2000). Risks from supply chain also demand attention, Business Insurance, 34, (20), pp. 26-28. Spedding, T. A., & Chan, K. K. (2000). Forecasting demand and inventory management using Bayesian time series. Integrated Manufacturing Systems, 11(5), 331-339. Springinklee, M., & Wallenburg, C. M. (2012). Improving distribution service performance through effective production and logistics integration. Journal of Business Logistics, 33 (4), 309–323. Stadtler, H., & Kilger, C. (2008). Supply chain management and advanced planning. Concepts, Models, Software and Case Studies, 4. Steve Morrison (2014). Director of Quality at Spirit Aero System in Malaysia Supply Chain Council (SCC), (2002). SCOR 9.0 Overview. www.supply-chain.org supply chain management". Industrial marketing management, 33, 51-56. Survey”,CARISMO ,University College Suffolk ,University of East Anglia. Svensson, G.,(2002). A conceptual framework of vulnerability in firms’ inbound and outbound logistics flow, International Journal of Physical Distribution & Logistics Management, 32(2), pp. 110-134 Sweeney Edward, (2006). Journal - Managing Information Flows : The key to effective Supply Chain Integration by Practitioner Journal. Syntetos, A.A., Babai, M.Z., Altay, N. (2012). On the demand distributions of spare parts. International Journal of Production Research 50 (8) : 2101-2117 Talluri, Srinivas. (2002). “Enhancing Supply Decisions through the Use of Efficient Marginal Cost Models”, The Journal of Supply Chain Management, UK, pp. 4-10 Tamas, M. (2000), “Mismatched strategies: the weak link in the supply chain”, Supply Chain Management: An International Journal, Vol. 5 No. 4, pp. 171-5. Tan, K. C., Kannan, V. R., & Handfield, R. B. (1998). Supply chain management: Supplier performance and firm performance. International Journal of Purchasing and Materials Management, 34 (3), 2–9. Tang, C. (2006). Perspectives in supply chain risk management. International Journal of Production Economics 103 (2): 451-488. Tang, C.S. and Tomlin, B., (2008). The power of flexibility for mitigating supply chain risks. International Journal of Production Economics, 116 (1), 12-27. Tang, C.S., (2006a). Robust strategies for mitigating supply chain disruptions. International Journal of Logistics: Research & Applications, 9 (1), 33-45. Tang, C.S., (2006b). Perspectives in supply chain risk management. International Journal of Production Economics, 103 (2), 451-488. Tashakkori, A., & Teddlie, C. (Eds.). (2010). Sage handbook of mixed methods in social & behavioral research. Sage. Tevelson, R. M., J. Ross, P. Paranikas. (2007). A key to smart outsourcing: Hedging against risk. Boston Consulting Group Report. Boston, MA. the bullwhip effect. Management Science 43 (4), 546–558. Tomlin, B., (2006). On the value of mitigation and contingency strategies for managing supply chain disruption risks. Management Science, 52 (5), 639-657. Trochim, W. M. (2006). Theory of reliability. Tversky, Amos and Daniel Kahneman. (1981). "The Framing of Decisions and the Psychology of Choice." Science2.1 1, pp. 453-58. Tyndall, Gene, Christopher Gopal, Wolfgang Partsch, and John Kamauff. (1998). “Supercharging Supply Chains: New Ways to Increase Value Through Global Operational Excellence”, NY: John Wiley & Sons Van Hoek, R.I., (2001). The contribution of performance measurement to the expansion of third party logistics alliances in the supply chain. International Journal of Operations & Production Management 21 (1/2), 15–29. Van Hoek, R.I., Harrison, A., Christopher, M., (2001). Measuring agile capabilities in the supply chain. International Journal of Operations & Production Management 21 (1/2), 126–147. Van, Hoek R. I. (1998) Measuring the unmeasurable – measuring and improving performance in the supply chain. Supply Chain Management, 3(4): 187-192. Vickery, S. K., Jayaram, J., Droge, C., & Calantone, R. (2003). The effects of an integrative supply chain strategy on customer service and financial performance: An analysis of direct versus indirect relationships. Journal of Operations Management, 21 (5), 523–539. Von Neumann, J.R. & Morgenstern, 0. (1944). Theory of games and economic behavior. Princeton Univerity Press. Walters, D. (2006), “Demand chain effectiveness – supply chain efficiencies: a role for enterprise information management”, Journal of Enterprise Information Management, Vol. 19 No. 3, pp. 246-61. Wanke, P. (2011). The impact of different demand allocation rules on total stock levels. Pesquisa Operacional 30 (1): 33-52. Wanke, P. (2011a).Gestão de estoques na cadeia de suprimentos: decisões e modelos quantitativos. 3rd ed. São Paulo: Atlas. Wanke, P. (2011b).Product, operation, and demand relationships between manufacturers and retailers. Transportation Research: Part E:Logistics and Transportation Review 48(1): 340-354. Wanke, P. and E. Saliby., (2009). Consolidation effects: whether and how inventories should be pooled. Transportation Research:Part E45 (5):678-692. Waterhouse, J.H. and Tiessen, P. (1978) A contingency framework for management accounting systems research. Accounting, Organizations and Society, 3 (1), 65-76. Wiggins, J., J. Blas., (2008). Food and consumer groups get hedge smart. Financial Times. August 17, 2008. William Pasmore, (1994). Creating Strategic Change: Designing the Flexible, High performing Work Organization 1994, p. ix. Wilson, M. C. (2007). The impact of transportation disruptions on supply chain performance. Transportation Research Part E: Logistics and Transportation Review, 43(4), 295-320. Wisner, J. D., Tan, K. C., & Leong, G. K. (2014). Principles of supply chain management: A balanced approach. Cengage Learning. Womack, J.P. and Jones, D.T., (2005), Lean Solutions : How Companies and Customers Can Create Wealth Together, Simon & Schuster, New York, NY. Yi, J., A. Scheller-Wolf. (2003). Dual Sourcing from A Regular Supplier and A Spot Market, Working Paper. GSIA, Carnegie Mellon University. Zhang, Q, Vonderembse, M., A, Lim, J., (2002). “Value Chain Flexibility: A Dichotomy of Capability”, International Journal of Production, Vol. 40, No3, pp.561-583. |