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Use of Bayesian Networks for System Reliability Assessment Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Testing the Effects of Agile and Flexible Supply Chain on the Firm Performance Through SEM

Authors : Mohammad Hossein Zavvar Sabegh, Aylin Caliskan, Yucel Ozturkoglu, Burak Cetiner

Published in: System Performance and Management Analytics

Publisher: Springer Singapore

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Abstract

High competition, continuous, and rapid changing in consumer demands push companies finding differentiation ways to gain competitive advantage. Supply chain and logistics practices have been seen as the core strategic tools to survive for companies. In this research, the impacts of agile and flexible supply chain practices on the customer satisfaction, service quality, sales performance, and profitability are examined. As a research area, fast fashion industry was chosen. To the aim, a theoretical model was developed and tested through structural equation modeling (SEM). The results reveal that companies performing agile and flexible supply chains can reap the benefits in terms of service quality and customer satisfaction, and at the end can reap the resulting financial benefits in terms of increased sales and profits.

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Literature
1.
Bayraktar, E., Demirbag, M., Koh, S. L., Tatoglu, E., & Zaim, H. (2009). A causal analysis of the impact of information systems and supply chain management practices on operational performance: evidence from manufacturing SMES in Turkey. International Journal of Production Economics, 122(1), 133–149.CrossRef
2.
Lenny Koh, S. C., Demirbag, M., Bayraktar, E., Tatoglu, E., & Zaim, S. (2007). The impact of supply chain management practices on performance of smes. Industrial Management & Data Systems, 107(1), 103–124.CrossRef
3.
Jennings, J., & Haughton, L. (2002). It’s not the BIG that eat the SMALL… It’s the FAST that eat the SLOW: How to use speed as a competitive tool in business. Harper Collins.
4.
Swafford, P. M., Ghosh, S., & Murthy, N. (2008). Achieving supply chain, agility through IT integration and flexibility. International Journal of Production Economics, 116, 288–297.CrossRef
5.
Van-Hoek, R. I. (2001). Epilogue-moving forward with agility. International Journal of Physical Distribution & Logistics Management, 31(4), 290–301.CrossRef
6.
Holsapple, C., & Jones, K. (2005). Exploring secondary activities of the knowledge chain. Knowledge and Process Management, 12(1), 3.CrossRef
7.
Ismail, H. S., & Sharifi, H. (2006). A balanced approach to building agile supply chains. International Journal of Physical Distribution & Logistics Management, 36(6), 431–444.CrossRef
8.
Jain, V., Benyoucef, L., & Deshmukh, S. G. (2008). What’s the buzz about moving from ‘lean’ to ‘agile’ integrated supply chains? A fuzzy intelligent agent-based approach. International Journal of Production Research, 46(23), 6649–6677.CrossRef
9.
Tallon, P. P., & Pinsonneault, A. (2011). Competing perspectives on the link between strategic information technology alignment and organizational agility: Insights from a mediation model. MIS Quarterly, 35(2), 463–486.CrossRef
10.
Yusuf, Y. Y., Gunesekaran, A., Adeleye, E. O., & Svayoganathan, K. (2004). Agile supply chain capabilities: Determinants of competitive objectives. European Journal of Operational Research, 159, 379–392.CrossRef
11.
Gligor, D. M., & Holcomb, M. C. (2012). Antecedents and consequences of supply chain agility: Establishing the link to firm performance. Journal of Business Logistics, 33(4), 295–308.CrossRef
12.
Gligor, D. M., Esmark, C. L., & Helcomb, M. C. (2015). Performance outcomes of supply chain agility: When should you be agile? Journal of Operations Management, 33(34), 71–82.CrossRef
13.
Goldsby, T. J., Griffis, S. E., & Roath, A. S. (2006). Modeling lean, agile, and leagile supply chain strategies. Journal of Business Logistics, 27(1), 57–80.CrossRef
14.
Christopher, M. (2000). The agile supply chain: Competing in volatile markets. Industrial Marketing Management, 29(1), 37–44.CrossRef
15.
Allegre, J., & Sard, M. (2015). When demand drops and prices rise. Tourist packages in the Balearic Islands during the economic crisis. Tourism Management, 46, 375–385.CrossRef
16.
Sabegh, M.H.Z., Ozturkoglu Y., & Kim, T. (2016). Green Supply Chain Management Practices’ Effect on the Performance of Turkish Business Relationships, in Proceedings of 12th International Conference on Industrial Engineering, p. 5232–5245, 25–26 January 2016, Kharazmi University, Tehran, Iran.
17.
Swafford, P. M., Ghosh, S., & Murthy, N. (2006). The antecedents of supply chain agility of a firm: Scale development and model testing. Journal of Operations Management, 24(2), 170–188.CrossRef
18.
Sánchez, M. A., & Pérez Pérez, M. (2005). Supply chain flexibility and firm performance: A conceptual model and empirical study in the automotive industry. International Journal of Operations & Production Management, 25(7), 681–700.CrossRef
19.
Stevenson, M., & Spring, M. (2007). Flexibility from a supply chain perspective: Definition and review. International Journal of Operations & Production Management, 27(7), 685–713.CrossRef
20.
Vickery, S. K., Calantone, R., & Dröge, C. (1999). Supply chain flexibility: An empirical study. Journal of Supply Chain Management: A Global Review of Purchas and Supply, 35(3), 16–24.CrossRef
21.
Merschmann, U., & Thonemann, U. W. (2011). Supply chain flexibility, uncertainty and firm performance: An empirical analysis of German manufacturing firms. International Journal of Production Economics, 130(1), 43–53.CrossRef
22.
Tan, K. C., Lyman, S. B., & Wisner, J. D. (2002). Supply chain management: a strategic perspective. International Journal of Operations & Production Management, 22(6), 614–631.CrossRef
23.
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.
24.
Dalgakıran, A.B., & Ozturkoglu, Y. (2017). Scale and Relationship Analysis for Turkish Furniture Sector, Business and Management Studies: An International Journal, 5(1), 147–161.CrossRef
25.
Judge, W. Q., & Douglas, T. J. (1998). Performance implications of incorporating natural environmental issues into the strategic planning process: An empirical assessment. Journal of Management Studies, 35(2), 241–262.CrossRef
26.
Quinn, R. E., & Rohrbaugh, J. (1983). A spatial model of effectiveness criteria: Towards a competing values approach to organizational analysis. Management Science, 29(3), 363–377.CrossRef
27.
Cegarra-Navarro, J. G., Soto-Acosta, P., & Wensley, A. K. (2015). Structured knowledge processes and firm performance: The role of organizational agility. Journal of Business Research, 69(5), 1544–1549.CrossRef
28.
Walker, R. M., Chen, J., & Aravind, D. (2015). Management innovation and firm performance: An integration of research findings. European Management Journal, 33, 407–422.CrossRef
29.
Lee, H. L. & Billington, C. (1992). Managing supply chain inventory: Pitfalls and opportunities. Sloan Management Review, Spring, 65–73.
30.
Gunasekaran, A., Patel, C., & Tirtiroglu, E. (2001). Performance measures and metrics in a supply chain environment. International Journal of Operations & Production Management, 21(1–2), 71–87.CrossRef
31.
Agarwal, A., Shankar, R., & Tiwari, M. K. (2006). Modeling the metrics of lean, agile, and leagile supply chain: An ANP-based approach. European Journal of Operational Research, 173(1), 211–225.CrossRef
32.
Anderson, E. W., & Sullivan, M. W. (1993). The antecedents and consequences of customer satisfaction for firms. Marketing Science, 12(2), 125–143.CrossRef
33.
Churchill, G. A., Jr., & Suprenant, C. (1982). An investigation into the determinants of customer satisfaction. Journal of Marketing Research, 19(November), 491–504.CrossRef
34.
Cronin, Jr., J. J., & Taylor, S. A. (1992). Measuring service quality: A reexamination and extension. The Journal of Marketing, 56, 55–68.
35.
Oliver, R. L., & DeSarbo, W. S. (1988). Response determinants in satisfaction judgments. Journal of Consumer Research, 14(4), 495–507.CrossRef
36.
Rust, R. T., & Zahorik, A. J. (1993). Customer satisfaction, customer retention, and market share. Journal of Retailing, 69(2), 193–215.CrossRef
37.
Anderson, E. W., Fornell, C., & Lehmann, D. R. (1994). Customer satisfaction, market share, and profitability: Findings from Sweden. The Journal of Marketing, 53–66.
38.
Reichheld, F. F. & Sasser, W. E. (1990). Zero defeofions: Quality comes to services. Harvard Business Review, 68, 105–111.
39.
Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411.CrossRef
40.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 39–50.CrossRef
41.
Hair, J. F., Wolfinbarger, M. F., Ortinau, D. J. & Bush, R. P. (2008). Essentials of marketing research. New York: McGraw-Hill; Hines, T. & Bruce. M. (2007). Fashion marketing: Contemporary Issues (2nd. ed.). London: Butterworth-Heinemann.
42.
Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74–94.CrossRef
43.
Bentler, P. M. (1988). Theory and implementation of EQS: A structural equation program. California: Sage.
44.
Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 136–162). Newbury Park, CA: Sage.
45.
Marsh, H. W., & Grayson, D. (1995). Latent variable models of multitrait-multimethod data. In R. Hoyle (Ed.), Structural equation modeling: Concepts, issues and applications (pp. 177–198). Thousand Oaks, CA: Sage.
46.
Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8(2), 23–74.
47.
Moon, K. K. L., Mo, P. L. L., & Chan, R. L. Y. (2014). Enterprise risk management: Insights from a textile-apparel supply chain. International Journal of Risk and Contingency Management, 3(2), 18–30.CrossRef
48.
Chan, A. T., Ngai, E. W., & Moon, K. K. (2017). The effects of strategic and manufacturing flexibilities and supply chain agility on firm performance in the fashion industry. European Journal of Operational Research, 259(2), 486–499.CrossRef
49.
Manders, J. H., Caniëls, M. C., & Paul, W. T. (2016). Exploring supply chain flexibility in a FMCG food supply chain. Journal of Purchasing and Supply Management, 22(3), 181–195.CrossRef
Metadata
Title
Testing the Effects of Agile and Flexible Supply Chain on the Firm Performance Through SEM
Authors
Mohammad Hossein Zavvar Sabegh
Aylin Caliskan
Yucel Ozturkoglu
Burak Cetiner
Copyright Year
2019
Publisher
Springer Singapore
Book
System Performance and Management Analytics

Print ISBN: 978-981-10-7322-9

Electronic ISBN: 978-981-10-7323-6

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-981-10-7323-6_3

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