E-Procurement and Performance of Manufacturing Firms in Buenos Aires, Argentina
DOI:
https://doi.org/10.53819/81018102t2038Abstract
Procurement functions have become a strategic unit for many organizations because huge costs can be cut down through prudent procurement hence an increase in profitability. The study assessed the impact of e-procurement practices on performance in large manufacturing firms in Buenos Aires, Argentina. The procurement practices included e-bidding, e-tendering, e-purchasing and e-sourcing. This study was based on contingency theory and technology acceptance theory. The target population for the study was large-sized manufacturing firms in Buenos Aires, Argentina where the unit of analysis were procurement managers and procurement supervisors. SPSS software for analysis. Regression analysis results indicated that E-bidding, E-tendering. E-purchasing and performance, the regression analysis revealed a positive and significant relationship. E-sourcing was positively and significantly related to the performance of large manufacturing firms in Buenos Aires, Argentina. The study concluded that the firms adopt various E-procurement practices which include; E-bidding, E-tendering, E-purchasing and E-sourcing as a way of improving their financial performance. The study recommends that large manufacturing should adopt E-procurement practices owing to their immense benefits to the performance of the firm which includes; improved financial performance, reduced inbound lead time and efficiency and increased procurement volumes processed. The study further recommends that large manufacturing firms contemplating adopting E-procurement practices should integrate their systems since a lack of system integration is a major challenge to E-procurement.
Keywords: E-Procurement, Manufacturing Firms, Buenos Aires, Argentina
References
Amani, S. (2021). Supporting public procurement from smallholder farmers. Washington DC.
Berger, A. J., Gattorna, J., & Gattorna, J. L. (2011). Supply chain cybermastery: building high performance supply chains of the future. Gower Publishing, Ltd.
Bigsten, A. (2013). Fiscal capacity and the quality of government in Sub-Saharan Africa. World Development, 45, 92-107. https://doi.org/10.1016/j.worlddev.2012.09.018
Gelderman, C. J., Ghijsen, P. W. T., & Brugman, M. J. (2016). Public procurement and EU tendering directives–explaining non-compliance. International Journal of Public Sector Management, 19(7), 702-714. https://doi.org/10.1108/09513550610704716
Gibbons, R., & Kaplan, R. S. (2015). Formal Measures in Informal Management: Can a Balanced Scorecard Change a Culture?. American Economic Review, 105(5), 447-51. https://doi.org/10.1257/aer.p20151073
Gunasekaran, A., Papadopoulos, T., Dubey, R., Wamba, S. F., Childe, S. J., Hazen, B., & Akter,
S. (2017). Big data and predictive analytics for supply chain and organizational performance. Journal of Business Research, 70, 308-317. https://doi.org/10.1016/j.jbusres.2016.08.004
Gupta, M., & Narain, R. (2015). A fuzzy ANP based approach in the selection of the best E- Business strategy and to assess the impact of E-Procurement on organizational performance. Information Technology and Management, Vol. 16, No. 4, 339-349. https://doi.org/10.1007/s10799-014-0208-y
Hubbard, G. (2016). Measuring organizational performance: beyond the triple bottom line. Business strategy and the environment, 18(3), 177-191. https://doi.org/10.1002/bse.564
Knutsson, H., & Thomasson, A. (2014). Innovation in the Public Procurement Process: A study of the creation of innovation-friendly public procurement. Public Management Review, 16(2), 242-255. https://doi.org/10.1080/14719037.2013.806574
Laryea, S., & Ibem, E. O. (2016). Patterns of Technological Innovation in the use of e-Procurement in Construction. Journal of information Technology in Construction, 19, 104-125.
Mishra, D., Gunasekaran, A., Papadopoulos, T., & Dubey, R. (2018). Supply chain performance measures and metrics: a bibliometric study. Benchmarking: An International Journal, 25(3), 932-967. https://doi.org/10.1108/BIJ-08-2017-0224
Moedjiono, S., Wibowo, A. K., & Kusdaryono, A. (2017). E-purchasing indirect material model using the open group architecture framework architecture development method. In Computing, Engineering, and Design (ICCED), 2017 International Conference on (pp. 1- 6). IEEE. https://doi.org/10.1109/CED.2017.8308132
Perera, S., Eadie, R., Heaney, G., & Carlisle, J. (2016). Developing a model for the analysis of e- procurement capability maturity of construction organizations. In proceedings Joint International Conference on Construction Culture, Innovation, and Management (CCIM)
Rogers, E. W., & Wright, P. M. (2015). Measuring organizational performance in strategic human resource management: Problems, prospects and performance information markets. Human resource management review, 8(3), 311-331. https://doi.org/10.1016/S1053-
(98)90007-9
Saad, S., Kunhu, N., & Mohamed, A. (2016). A fuzzy-AHP multi-criteria decision making model for procurement process. International Journal of Logistics Systems and Management (IJLSM), 23(1), 1-24. https://doi.org/10.1504/IJLSM.2016.073295
Stich, V., Pause, D., Blum, M., & Hinrichs, N. (2016). A simulation based approach to investigate the procurement process and its effect on the performance of supply chains. In IFIP International Conference on Advances in Production Management Systems (pp. 335-342). Springer, Cham. https://doi.org/10.1007/978-3-319-51133-7_40
Wang, Y., Yan, H., & Wan, J. (2016). Electronic Commerce Platform of Manufacturing Industry under Industrial Internet of Things. In International Conference on Industrial IoT Technologies and Applications (pp. 137-143). Springer, Cham. https://doi.org/10.1007/978-3-319-44350-8_14
World Bank Group. (2015). World development indicators 2014. World Bank Publications.
World Bank. (2013). E-Procurement in Government of Andhra Pradesh, India. Washington, DC: World Bank.
Zunk, B. M., Marchner, M., Uitz, I., Lerch, C., & Schiele, H. (2014). The role of E-procurement in the Austrian construction industry: Adoption rate, benefits and barriers. International journal of industrial engineering and management, 5(1), 13-21.