How to cite this paper
Tran, H., Tran, H., Phan, T., Nguyen, H & Pham, T. (2020). Impact of supply chain linkages on the performance of enterprises specializing in aluminum profiles: The case of Vietnam.Uncertain Supply Chain Management, 8(2), 291-302.
Refrences
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Aras, G., Aybars, A., & Kutlu, O. (2010). Managing corporate performance: Investigating the ralationship between corporate socail responsibility and financial performance in emerging markets. International Journal of Prodyuctiity and Performance Management, 59, 229-254.
Baron, R.M & Kenny, D.A. (1986). The moderator -mediator variable distinction in social psychological research: Conceptual, strategic,and statistical consideration. Journal of Personal Social Psychology, 51, 1173-1182.
Carter, C.R., Kale, R. & Grimm, C.M. (2000). Environmental purchasing and firm performance: an empirical investigation. Transportation Research Part E: Logistics and Transportation Review, 36(3), 219-28.
Cachon, G. (1999). Managing supply chain demand variability with scheduled ordering policies. Management Science, 45(6), 843-856.
Chen, I.J., Paulraj, A. & Lado, A.A. (2004). Strategic purchasing, supply management, and firm performance. Journal of Operations Management, 22(5), 505-23.
Davis, T. (1993). Effective supply chain management. Sloan Management Review, 34(4), 35-46.
Hair Jr, J., Sarstedt, M., Hopkins, L., & G. Kuppelwieser, V. (2014). Partial least squares structural equation modeling (PLS-SEM) An emerging tool in business research. European Business Review, 26(2), 106-121.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2013). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Thousand Oaks: Sage.
Henseler, J., & Chin, W. W. (2010). A comparison of approaches for the analysis of interaction effects between latent variables using partial least squares path modeling. Structural Equation Modeling, 17(1), 82-109.
Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: updated guidelines. Industrial Management & Data Systems, 116(1), 2-20.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135.
Lau, A.K.W., Yam, R.C.M. & Tang, E. (2010). Supply chain integration and product modularity. International Journal of Operations & Production Management, 30(1), 20-56.
Lee, H., Padnababhan, P. & Whang, S. (1997). Information distortion in a supply chain: the bullwhip effect. Management Science, 43(4), 546-558.
Nguyen, T. L., Phan, H. M. & Bui, B. K. (2016), Liabilities and the impacts on financial performance of the Vietnamese listed small and medium-sized enterprises, Journal of Economics & Development, 18(3), 41-63.
Nunnally, J. C., & Bernstein, I. H. (1994). Validity. Psychometric Theory, 3, 99-132.
Phan, T.T.H, Doan, X. T., & Nguyen, T. T. T. (2019). The impact of supply chain practices on performance through supply chain integration in textile and garment industry of Vietnam. Uncertain Supply Chain Management, 8(2), 175–186.
Ramcharran, H. (2001). Inter-firm linkage and profitability in the automobile industry: the implications for supply chain management. The Journal of Supply Chain Management, 37(1) 11-17.
Saeidi, S. P., Sofian, S., Saeidi, P., Saeidi, S. P., & Saaeidi, S. A. (2015). How does corporate social responsibility contribute to firm financial performance? The mediating role of competitive advantage, reputation, and customer satisfaction. Journal of Business Research, 68(2), 341-350.
Shah, M. & Ram, M. (2006). Supplier diversity and minority business enterprise development: case study experience of three us multinationals. Supply Chain Management: An International Journal, 11(1), 75-81.
Van der Vaart, T. & Van Donk, D. (2008). A critical review of survey-based research in supply chain integration. International Journal of Production Economics, 111(42), 42-55.
Vickery, S.K., Jayaram, J., Doge, C. & Calantine, 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), 523-39.
Aras, G., Aybars, A., & Kutlu, O. (2010). Managing corporate performance: Investigating the ralationship between corporate socail responsibility and financial performance in emerging markets. International Journal of Prodyuctiity and Performance Management, 59, 229-254.
Baron, R.M & Kenny, D.A. (1986). The moderator -mediator variable distinction in social psychological research: Conceptual, strategic,and statistical consideration. Journal of Personal Social Psychology, 51, 1173-1182.
Carter, C.R., Kale, R. & Grimm, C.M. (2000). Environmental purchasing and firm performance: an empirical investigation. Transportation Research Part E: Logistics and Transportation Review, 36(3), 219-28.
Cachon, G. (1999). Managing supply chain demand variability with scheduled ordering policies. Management Science, 45(6), 843-856.
Chen, I.J., Paulraj, A. & Lado, A.A. (2004). Strategic purchasing, supply management, and firm performance. Journal of Operations Management, 22(5), 505-23.
Davis, T. (1993). Effective supply chain management. Sloan Management Review, 34(4), 35-46.
Hair Jr, J., Sarstedt, M., Hopkins, L., & G. Kuppelwieser, V. (2014). Partial least squares structural equation modeling (PLS-SEM) An emerging tool in business research. European Business Review, 26(2), 106-121.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2013). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Thousand Oaks: Sage.
Henseler, J., & Chin, W. W. (2010). A comparison of approaches for the analysis of interaction effects between latent variables using partial least squares path modeling. Structural Equation Modeling, 17(1), 82-109.
Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: updated guidelines. Industrial Management & Data Systems, 116(1), 2-20.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135.
Lau, A.K.W., Yam, R.C.M. & Tang, E. (2010). Supply chain integration and product modularity. International Journal of Operations & Production Management, 30(1), 20-56.
Lee, H., Padnababhan, P. & Whang, S. (1997). Information distortion in a supply chain: the bullwhip effect. Management Science, 43(4), 546-558.
Nguyen, T. L., Phan, H. M. & Bui, B. K. (2016), Liabilities and the impacts on financial performance of the Vietnamese listed small and medium-sized enterprises, Journal of Economics & Development, 18(3), 41-63.
Nunnally, J. C., & Bernstein, I. H. (1994). Validity. Psychometric Theory, 3, 99-132.
Phan, T.T.H, Doan, X. T., & Nguyen, T. T. T. (2019). The impact of supply chain practices on performance through supply chain integration in textile and garment industry of Vietnam. Uncertain Supply Chain Management, 8(2), 175–186.
Ramcharran, H. (2001). Inter-firm linkage and profitability in the automobile industry: the implications for supply chain management. The Journal of Supply Chain Management, 37(1) 11-17.
Saeidi, S. P., Sofian, S., Saeidi, P., Saeidi, S. P., & Saaeidi, S. A. (2015). How does corporate social responsibility contribute to firm financial performance? The mediating role of competitive advantage, reputation, and customer satisfaction. Journal of Business Research, 68(2), 341-350.
Shah, M. & Ram, M. (2006). Supplier diversity and minority business enterprise development: case study experience of three us multinationals. Supply Chain Management: An International Journal, 11(1), 75-81.
Van der Vaart, T. & Van Donk, D. (2008). A critical review of survey-based research in supply chain integration. International Journal of Production Economics, 111(42), 42-55.
Vickery, S.K., Jayaram, J., Doge, C. & Calantine, 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), 523-39.