Open Journal Systems

BENEFITS ASSESSMENT OF TRAINING ON SUPPLY CHAIN MANAGEMENT

Claudemir L. Tramarico, Fernando A. S. Marins, Ligia M. S. Urbina, Valerio A. P. Salomon

Abstract


Supply chain management (SCM) is a critical factor in the current global scenario. This organizational capability has a recent knowledge base, which is being accumulated, validated, and certified by groups like the Association for Operations Management (APICS). Therefore, training in SCM has been growing as one of the most convenient ways of becoming “Certified in Production and Inventory Management” (CPIM) from APICS. Companies all over the world have invested in SCM training; however, some companies have conditioned the continuity of their training programs to the benefits assessment. This paper contributes by proposing an evaluation model for specific program training on SCM. This model was applied in a global chemical company, which allowed capturing its impact on organizational and individual competencies, as well as on the core competencies. The proposed model includes the Analytic Hierarchy Process (AHP) and concepts in the SCM literature. The main result revealed by this research is that an SCM training based on APICS CPIM is really perceived as beneficial, in individual or organizational terms, for a real-world company. Therefore, this company should be confident that its SCM training program is improving and strengthening its core competencies.


Keywords


Analytic Hierarchy Process; Supply Chain Management; Training

Full Text:

PDF

References


APICS. (2015). Certified in production and inventory management. Retrieved from http://www.apics.org/cpim (accessed May 27, 2015).

Barney, J. B. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120.

Barney, J. B., Wright, M., & Ketchen Jr, D. J. (2001). The resource-based view of the firm: ten years after 1991. Journal of Management, 27(6), 625–641.

Blackstone, J. H. Jr. (Ed.) (2013). APICS Dictionary. 14th Edition. Chicago: APICS.

Bukowitz, W. R., Williams, R. L., & Mactas, E. S. (2004). Human capital

measurement. Research Technology Management, 47(3), 43–49.

Bulkeley, H. (2006). Urban sustainability: learning from best practice?. Environment and planning A. 38(6), 1029.

Chan, F. T. S., & Kumar, N. (2007). Global supplier development considering risk factors using fuzzy extended AHP-based approach. Omega, 35(4), 417–431.

Chan, F. T. S., Kumar, N., Tiwari, M. K., Lau, H. C. W., & Choy, K. L. (2008). Global supplier selection: a fuzzy-AHP approach. International Journal of Production Research, 46(14), 3825–3857.

Cheung, M. S., Myers, M. B., & Mentzer, J. T. (2010). Does relationship learning lead to relationship value? A cross-national supply chain investigation. Journal of Operations Management, 28(6), 472–487.

Coriat, B., & Dosi, G. (2002). The nature and accumulation of organizational competences/capabilities. Revista Brasileira de Inovação, 1(2), 275–326.

Draganidis, F., & Mentzas, G. (2006). Competency based management: a review of systems and approaches. Information Management & Computer Security, 14(1), 51–64.

Drake, P. R., & Lee, D. M. (2008). Component prioritisation for strategic purchasing and the case study of a South Korean elevator manufacturer. The International Journal of Advanced Manufacturing Technology, 43(9-10), 883–895.

Ertay, T., Kahveci, a., & Tabanlı, R. M. (2011). An integrated multi-criteria group decision-making approach to efficient supplier selection and clustering using fuzzy preference relations. International Journal of Computer Integrated Manufacturing, 24(12), 1152–1167.

Ha, S., & Krishnan, R. (2008). A hybrid approach to supplier selection for the maintenance of a competitive supply chain. Expert Systems with Applications, 34(2), 1303–1311.

Helfat, C. E., & Peteraf, M. A. (2003). The dynamic resource‐based view: Capability lifecycles. Strategic management journal, 24(10), 997–1010.

Ho, W., & Emrouznejad, A. (2009). Multi-criteria logistics distribution network design using SAS/OR. Expert Systems with Applications, 36(3), 7288–7298.

Hult, G.T.M., Ketchen, D.J.K. , & Arrelti, M. (2007). Strategic supply chain management: Improving performance through a culture of competitiveness and knowledge development. Strategic. Management. Journal, 28, 1035-1052.

Humphrey, J., & Schmitz, H. (2002). How does insertion in global value chains affect upgrading in industrial clusters?. Regional Studies, 36(9), 1017–1027.

Figueiredo,P. N. (2005). Technological accumulation and industrial innovation. Concepts, measurement and evidence in Brazil. São Paulo em Perspectiva, 19(1), 54–69. (In Portuguese)

Fleury, M.T.L., & Fleury, A. (2001). Building the concept of competence. Revista Administração Contemporânea, 5, 183–196. (In Portuguese)

Fleury, M.T.L., & Fleury, A. (2004). Aligning strategy and skills. Revista de Administração de Empresas, 44(1), 44–57. (In Portuguese)

Gammelgaard, B. & Larson, P. D. (2001). Logistics skills and competencies for supply chain management. Journal of Business Logistics, 22(2), 27–50.

Gilbert, L. (2014). Social justice and the" Green" city urbe. Revista Brasileira de Gestão Urbana, 6(2), 158–169.

Ishizaka, A., & Nemery, P. (2013). Multi-criteria decision analysis: methods and software. West Sussex: John Wiley & Sons.

Jackson, S. E., & Schuler, R. S. (2003). Managing human resources through strategic partnerships. (8th ed.). Mason, OH: South-Western Pub.

Khadivar, A., Zadeh, A. R., Khani, M., & Jalali, S. M. J. (2007, December). A conceptual model for knowledge flow in supply chain. In Industrial Engineering and Engineering Management, 2007 IEEE International Conference on (pp. 352-356). IEEE.

LeBoterf, G. (1998). Evaluer les compe´tences, quels jugements? Quels crite`res? Quelles instances? La Compe´tence au Travail, 135(2), 143–51.

Li, S., Ragu-Nathan, B., Ragu-Nathan, T. S., & Rao, S. S. (2006). The impact of supply chain management practices on competitive advantage and organizational performance. Omega, 34(2), 107–124.

Lu, L. Y. Y., Wu, C. H., & Kuo, T.-C. (2007). Environmental principles applicable to green supplier evaluation by using multi-objective decision analysis. International Journal of Production Research, 45(18-19), 4317–4331.

Lummus, R.R. (2007). The role of APICS in professionalizing operations management. Journal of Operations Management, 25(2), 336–345.

Manyathi, S., & Niyimbanira, F. (2014). A theoretical evaluation of the role of training for supply chain management employees of the Department of Provincial Treasury: Case of KwaZulu-Natal, South Africa. Mediterranean Journal of Social Sciences, 5(7), 231.

Naesens, K., Gelders, L., & Pintelon, L. (2009). A swift response framework for measuring the strategic fit for a horizontal collaborative initiative. International Journal of Production Economics, 121(2), 550–561.

Oxford Dictionaries (2015). Oxford University Press. Retrieved from http://www.oxforddictionaries.com (accessed May 27, 2015)

Palma-Mendoza, J. a. (2014). Analytical Hierarchy Process and SCOR model to support supply chain re-design. International Journal of Information Management, 34(5), 634–638.

Prahalad, C., & Hamel, G. (1990). The core competence of the corporation. Harvard Business Review, 68, 79–91.

Rabelo, L., Eskandari, H., Shaalan, T., & Helal, M. (2007). Value chain analysis using hybrid simulation and AHP. International Journal of Production Economics, 105(2), 536–547.

Saaty, T.L. (1977). A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, 15, 234–281.

Saaty, T.L., & Ozdemir, M. (2003). Negative priorities in the Analytic Hierarchy Process. Mathematical and Computer Modelling, 37, 1063–1075.

Saaty, T.L. (2006). Rank from comparisons and from ratings in the analytic hierarchy/network processes. European Journal of Operational Research, 168, 557–570.

Saaty, T.L. (2010a). Principia Mathematica Decernendi: Mathematical principles of decision-making. Pittsburgh: RWS Publications.

Saaty, T.L. (2010b). Who won the winter 2010 Olympics? A quest into priorities. Journal of Multi-Criteria Decision Analysis, 17 (1–2), 25–36.

Saen, R. F. (2007). A new mathematical approach for suppliers selection: Accounting for non-homogeneity is important. Applied Mathematics and Computation, 185(1), 84–95.

Satiman, L. H., Abu Mansor, N. N., & Zulkifli, N. (2015). Return on Investment (ROI) training evaluation in Malaysian SMEs: factors influencing the adoption process. Development and Learning in Organizations, 29(2), 18–21.

Sevkli, M., Lenny Koh, S. C., Zaim, S., Demirbag, M., & Tatoglu, E. (2007). An application of data envelopment Analytic Hierarchy Process for supplier selection: a case study of BEKO in Turkey. International Journal of Production Research, 45(9), 1973–2003.

Sharma, M. J., Moon, I., & Bae, H. (2008). Analytic Hierarchy Process to assess and optimize distribution network. Applied Mathematics and Computation, 202(1), 256–265.

Schoenherr, T., Griffith, D. A., & Chandra, A. (2014). Knowledge management in supply chains: The role of explicit and tacit knowledge. Journal of Business Logistics, 35(2), 121–135.

Tan, K. C. (2001). A framework of supply chain management literature. European Journal of Purchasing & Supply Management, 7(1), 39–48.

Tracey, M., & Smith-Doerflein, K.A. (2001). Supply chain management: what training professionals need to know. Industrial and Commercial Training, 33(3), 99–104.

Treem, J. W. (2013).Technology use as a status cue: The influences of mundane and novel technologies on knowledge assessments in organizations. Journal of Communication, 63, 1032–1053

Van Zyl, C. (2003). Supply chain knowledge management adoption increases overall efficiency and competitiveness. South Africa Journal of Information Management, 5(4).

DOI: 10.4102/sajim.v5i4.381

Wang, X., Chan, H. K., Yee, R. W. Y., & Diaz-Rainey, I. (2012). A two-stage fuzzy-AHP model for risk assessment of implementing green initiatives in the fashion supply chain. International Journal of Production Economics, 135(2), 595–606.

Zhu, Q., & Sarkis, J. (2004). Relationships between operational practices and performance among early adopters of green supply chain management practices in Chinese manufacturing enterprises. Journal of Operations Management, 22(3), 265–289.




DOI: http://dx.doi.org/10.13033/ijahp.v7i2.272