How to cite this paper
Jayakrishnan, M., Mohamad, A & Yusof, M. (2022). Railway supply chain excellence through the mediator role of business intelligence: Knowledge management approach towards information system.Uncertain Supply Chain Management, 10(1), 125-136.
Refrences
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Chourides, P., Longbottom, D., & Murphy, W. (2003). Excellence in knowledge management: an empirical study to identify critical factors and performance measures. Measuring Business Excellence, 7(2), 29–45. https://doi.org/10.1108/13683040310477977
Comuzzi, M., & Parhizkar, M. (2017). A methodology for enterprise systems post-implementation change management. Industrial Management & Data Systems, 117(10), 2241–2262. https://doi.org/10.1108/IMDS-11-2016-0506
Emery, J. C., & Morton, M. S. S. (1972). Management Decision Systems: Computer-Based Support for Decision Making. Administrative Science Quarterly, 17(1), 142. https://doi.org/10.2307/2392104
Hair, Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis :global perspective.
Halvorson, H. (2012). What Scientific Theories Could Not Be*. Philosophy of Science, 79(2), 183–206. https://doi.org/10.1086/664745
Jayakrishnan, M., Mohamad, A. K., & Yusof, M. M. (2020a). Business Architecture Model in Strategic Information System Management for Effective Railway Supply Chain Perspective. International Journal of Engineering Research and Technology., 13(11), 3927–3933.
Jayakrishnan, M., Mohamad, A. K., & Yusof, M. M. (2020b). Digitalization Railway Supply Chain 4.0: Enterprise Architecture Perspective. International Journal of Advanced Trends in Computer Science and Engineering, 9(5), 9056–9063. https://doi.org/10.30534/ijatcse/2020/310952020
Jayakrishnan, M., Mohamad, A. K., & Yusof, M. M. (2020c). Information System for Integrative and Dynamic Railway Supply Chain Management. International Journal of Advanced Trends in Computer Science and Engineering, 9(2), 2159–2167. https://doi.org/10.30534/ijatcse/2020/191922020
Jayakrishnan, M., Mohamad, A. K., & Yusof, M. M. (2020d). Strategic Information System for Decision Making in Railway Supply Chain Management. International Journal of Advanced Trends in Computer Science and Engineering, 9(3), 3988–3994. https://doi.org/10.30534/ijatcse/2020/223932020
Jayakrishnan, M., Mohamad, A. K., & Yusof, M. M. (2021). Developing railway supplier selection excellence using business intelligence knowledge management framework. International Review of Applied Sciences and Engineering, 12(3), 257–268. https://doi.org/10.1556/1848.2021.00267
Malhotra, N. (2007). Marketing Research : An Applied Orientation. Pearson.
Martin, D., Rooksby, J., Rouncefield, M., & Sommerville, I. (2007). “Good” Organisational Reasons for “Bad” Software Testing: An Ethnographic Study of Testing in a Small Software Company. In 29th International Conference on Software Engineering (ICSE’07) (pp. 602–611). IEEE. https://doi.org/10.1109/ICSE.2007.1
MIGHT. (2018). Future Rail 2030 - Development of National Rail Industry Roadmap. Malaysian Industry Government Group for High Technology, 9(5), 1–29.
Ming, T., Teng, W., & Jodaki, S. (2020). A model to investigate the effect of information technology and information systems on the ease of managers’ decision-making. Kybernetes, ahead-of-p(ahead-of-print). https://doi.org/10.1108/K-10-2019-0712
Odolinski, K. and Boysen, H. E. (2019). Railway line capacity utilisation and its impact on maintenance costs. Ournal of Rail Transport Planning & Management, 9(1), 22–33.
Petrillo, A., Felice, F. De, Cioffi, R., & Zomparelli, F. (2018). Fourth Industrial Revolution: Current Practices, Challenges, and Opportunities. In Digital Transformation in Smart Manufacturing (pp. 1–20). InTech. https://doi.org/10.5772/intechopen.72304
Safa, M., Shahi, A., Haas, C. T., & Hipel, K. W. (2014). Supplier selection process in an integrated construction materials management model. Automation in Construction, 48, 64–73. https://doi.org/10.1016/j.autcon.2014.08.008
Santis, R. B. de, Golliat, L., & Aguiar, E. P. de. (2017). Multi-criteria supplier selection using fuzzy analytic hierarchy process: case study from a Brazilian railway operator. Brazilian Journal of Operations & Production Management, 14(3), 428. https://doi.org/10.14488/BJOPM.2017.v14.n3.a15
Saunders, M., Lewis, P., & Thornhill, A. (2009). for Business Students Fi Fth Edition.
Sousa, F. J. (2010). Chapter 9 Metatheories in research: positivism, postmodernism, and critical realism. Advances in Business Marketing and Purchasing (Vol. 16). Elsevier. https://doi.org/10.1108/S1069-0964(2010)0000016012
Uma Sekaran. (2016). Research Methods For Business. In Intergovernmental Panel on Climate Change (Ed.), Climate Change 2013 - The Physical Science Basis (Vol. 65, pp. 1–30). Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9781107415324.004
Chourides, P., Longbottom, D., & Murphy, W. (2003). Excellence in knowledge management: an empirical study to identify critical factors and performance measures. Measuring Business Excellence, 7(2), 29–45. https://doi.org/10.1108/13683040310477977
Comuzzi, M., & Parhizkar, M. (2017). A methodology for enterprise systems post-implementation change management. Industrial Management & Data Systems, 117(10), 2241–2262. https://doi.org/10.1108/IMDS-11-2016-0506
Emery, J. C., & Morton, M. S. S. (1972). Management Decision Systems: Computer-Based Support for Decision Making. Administrative Science Quarterly, 17(1), 142. https://doi.org/10.2307/2392104
Hair, Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis :global perspective.
Halvorson, H. (2012). What Scientific Theories Could Not Be*. Philosophy of Science, 79(2), 183–206. https://doi.org/10.1086/664745
Jayakrishnan, M., Mohamad, A. K., & Yusof, M. M. (2020a). Business Architecture Model in Strategic Information System Management for Effective Railway Supply Chain Perspective. International Journal of Engineering Research and Technology., 13(11), 3927–3933.
Jayakrishnan, M., Mohamad, A. K., & Yusof, M. M. (2020b). Digitalization Railway Supply Chain 4.0: Enterprise Architecture Perspective. International Journal of Advanced Trends in Computer Science and Engineering, 9(5), 9056–9063. https://doi.org/10.30534/ijatcse/2020/310952020
Jayakrishnan, M., Mohamad, A. K., & Yusof, M. M. (2020c). Information System for Integrative and Dynamic Railway Supply Chain Management. International Journal of Advanced Trends in Computer Science and Engineering, 9(2), 2159–2167. https://doi.org/10.30534/ijatcse/2020/191922020
Jayakrishnan, M., Mohamad, A. K., & Yusof, M. M. (2020d). Strategic Information System for Decision Making in Railway Supply Chain Management. International Journal of Advanced Trends in Computer Science and Engineering, 9(3), 3988–3994. https://doi.org/10.30534/ijatcse/2020/223932020
Jayakrishnan, M., Mohamad, A. K., & Yusof, M. M. (2021). Developing railway supplier selection excellence using business intelligence knowledge management framework. International Review of Applied Sciences and Engineering, 12(3), 257–268. https://doi.org/10.1556/1848.2021.00267
Malhotra, N. (2007). Marketing Research : An Applied Orientation. Pearson.
Martin, D., Rooksby, J., Rouncefield, M., & Sommerville, I. (2007). “Good” Organisational Reasons for “Bad” Software Testing: An Ethnographic Study of Testing in a Small Software Company. In 29th International Conference on Software Engineering (ICSE’07) (pp. 602–611). IEEE. https://doi.org/10.1109/ICSE.2007.1
MIGHT. (2018). Future Rail 2030 - Development of National Rail Industry Roadmap. Malaysian Industry Government Group for High Technology, 9(5), 1–29.
Ming, T., Teng, W., & Jodaki, S. (2020). A model to investigate the effect of information technology and information systems on the ease of managers’ decision-making. Kybernetes, ahead-of-p(ahead-of-print). https://doi.org/10.1108/K-10-2019-0712
Odolinski, K. and Boysen, H. E. (2019). Railway line capacity utilisation and its impact on maintenance costs. Ournal of Rail Transport Planning & Management, 9(1), 22–33.
Petrillo, A., Felice, F. De, Cioffi, R., & Zomparelli, F. (2018). Fourth Industrial Revolution: Current Practices, Challenges, and Opportunities. In Digital Transformation in Smart Manufacturing (pp. 1–20). InTech. https://doi.org/10.5772/intechopen.72304
Safa, M., Shahi, A., Haas, C. T., & Hipel, K. W. (2014). Supplier selection process in an integrated construction materials management model. Automation in Construction, 48, 64–73. https://doi.org/10.1016/j.autcon.2014.08.008
Santis, R. B. de, Golliat, L., & Aguiar, E. P. de. (2017). Multi-criteria supplier selection using fuzzy analytic hierarchy process: case study from a Brazilian railway operator. Brazilian Journal of Operations & Production Management, 14(3), 428. https://doi.org/10.14488/BJOPM.2017.v14.n3.a15
Saunders, M., Lewis, P., & Thornhill, A. (2009). for Business Students Fi Fth Edition.
Sousa, F. J. (2010). Chapter 9 Metatheories in research: positivism, postmodernism, and critical realism. Advances in Business Marketing and Purchasing (Vol. 16). Elsevier. https://doi.org/10.1108/S1069-0964(2010)0000016012
Uma Sekaran. (2016). Research Methods For Business. In Intergovernmental Panel on Climate Change (Ed.), Climate Change 2013 - The Physical Science Basis (Vol. 65, pp. 1–30). Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9781107415324.004