Analysis of Digital Supply Chain Management in E-procurement Service Usage Using Decision Making Trial Method and Evaluation Laboratory in National Public Procurement Agency
(1) Department of Computer Science, Universitas Negeri Semarang, Indonesia
(2) Department of Computer Science, Universitas Negeri Semarang, Indonesia
Abstract
This study aimed to identify the implementation of the digital supply chain and its priority in the National Public Procurement Agency’s e-procurement service. To this end, a quantitative study with Decision-Making Trial and Evaluation Laboratory (DEMATEL) method using Matlab R2105a. DEMATEL result showed that eight criteria in the dispatcher group became the main priority in DSCM implementation in LKPP’s e-procurement process. In comparison, the other eight criteria in the receiver group serve as the advanced criteria in DSCM implementation. The planning criterion was the most prioritized and the most influential DSCM criterion in LKPP’s e-procurement service, which covers the distribution requirement process. The three most important DSCM criteria in LKPP’s e-procurement service were the distribution requirement process, delivery and inspection, and transportation management. The analysis showed that some DSCM criteria in LKPP’s e-procurement had met the DSCM principle. Further studies using other methods like Analytic Hierarchy Process (AHP) and Analytical Network Process (ANP) are needed.
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A. C. Puspita and Y. M. L. Gultom, “The Effect of E-Procurement Policy on Corruption in Government Procurement: Evidence from Indonesia,” International Journal of Public Administration, 2022, doi: 10.1080/01900692.2022.2093900.
B. K. AlNuaimi, M. Khan, and M. M. Ajmal, “The role of big data analytics capabilities in greening e-procurement: A higher order PLS-SEM analysis,” Technol Forecast Soc Change, vol. 169, p. 120808, 2021.
N. Sa’adah, “The Implementation of E-Procurement in Indonesia: Benefits, Risks, and Problems,” vol. 14, no. 2, 2020, doi: 10.18326/infsl3.v14i2.
D. A. A. Pertiwi, M. Yusuf, and D. A. Efrilianda, “Operational Supply Chain Risk Management on Apparel Industry Based on Supply Chain Operation Reference (SCOR),” Journal of Information System Exploration and Research, vol. 1, no. 1, pp. 17–24, Dec. 2022, doi: 10.52465/joiser.v1i1.103.
N. Luh, T. T. Ratnawati, I. Made, and Y. Suryawan, “E-procurement Implementation as Reflection of Good Governance in North Lombok Regency,” Social Science, Public Administration and Management (HUSOCPUMENT), vol. 1, no. 1, pp. 8–14, 2021, doi: 10.0121/husocpument.v1i1.3.
K. Zekhnini, A. Cherrafi, I. Bouhaddou, A. Chaouni Benabdellah, and S. Bag, “A model integrating lean and green practices for viable, sustainable, and digital supply chain performance,” Int J Prod Res, vol. 60, no. 21, pp. 6529–6555, 2022, doi: 10.1080/00207543.2021.1994164.
M. P. Ciano, M. Ardolino, and J. M. Müller, “Digital Supply Chain: Conceptualisation of theResearch Domain,” 2022.
J. Kaur, R. Sidhu, A. Awasthi, S. Chauhan, and S. Goyal, “A DEMATEL based approach for investigating barriers in green supply chain management in Canadian manufacturing firms,” Int J Prod Res, vol. 56, no. 1–2, pp. 312–332, Jan. 2018, doi: 10.1080/00207543.2017.1395522.
M. Elmsalmi, W. Hachicha, and A. M. Aljuaid, “Prioritization of the best sustainable supply chain risk management practices using a structural analysis based-approach,” Sustainability, vol. 13, no. 9, p. 4608, 2021.
M. S. Bhatia and K. K. Gangwani, “Green supply chain management: Scientometric review and analysis of empirical research,” J Clean Prod, vol. 284, p. 124722, 2021.
H.-H. Wu and S.-Y. Chang, “A case study of using DEMATEL method to identify critical factors in green supply chain management,” Appl Math Comput, vol. 256, pp. 394–403, 2015.
L. E. Quezada, H. A. López-Ospina, P. I. Palominos, and A. M. Oddershede, “Identifying causal relationships in strategy maps using ANP and DEMATEL,” Comput Ind Eng, vol. 118, pp. 170–179, Apr. 2018, doi: 10.1016/j.cie.2018.02.020.
A. Chauhan, A. Singh, and S. Jharkharia, “An interpretive structural modeling (ISM) and decisionmaking trail and evaluation laboratory (DEMATEL) method approach for the analysis of barriers of waste recycling in India,” J Air Waste Manage Assoc, vol. 68, no. 2, pp. 100–110, 2018.
C.-Y. Huang, L.-C. Wang, Y.-T. Kuo, and W.-T. Huang, “A novel analytic framework of technology mining using the main path analysis and the decision-making trial and evaluation laboratory-based analytic network process,” Mathematics, vol. 9, no. 19, p. 2448, 2021.
S. Campbell et al., “Purposive sampling: complex or simple? Research case examples,” Journal of Research in Nursing, vol. 25, no. 8, pp. 652–661, Dec. 2020, doi: 10.1177/1744987120927206.
G. K. Mweshi and K. Sakyi, “Application of sampling methods for the research design,” Archives of Business Research, vol. 8, no. 11, pp. 180–193, Nov. 2020, doi: 10.14738/abr.811.9042.
A. B. Boye, “Application of Fuzzy DEMATEL Method on the Impact of IT innovation on Supply Chain Management of Food Industry in Nigeria,” South Asian Journal of Social Studies and Economics, pp. 39–58, Mar. 2021, doi: 10.9734/sajsse/2021/v10i230262.
C. Valmohammadi and F. Varaee, “Analyzing the interaction of the challenges of big data usage in a cloud computing environment,” Business Information Review, 2022, doi: 10.1177/02663821221141810.
G. Yadav, S. K. Mangla, A. Bhattacharya, and S. Luthra, “Exploring indicators of circular economy adoption framework through a hybrid decision support approach,” J Clean Prod, vol. 277, Dec. 2020, doi: 10.1016/j.jclepro.2020.124186.
A. Kobryń, “DEMATEL as a weighting method in multi-criteria decision analysis,” Multiple Criteria Decision Making, vol. 12, pp. 153–167, 2017.
S. Komsiyah, Ayuliana, and D. A. Balqis, “Analysis of decision support system for determining industrial sub-district using DEMATEL-MABAC methods,” Procedia Comput Sci, vol. 216, pp. 499–509, 2023, doi: 10.1016/j.procs.2022.12.162.
E. Ayçin and S. Kayapinar Kaya, “Towards the circular economy: Analysis of barriers to implementation of Turkey’s zero waste management using the fuzzy DEMATEL method,” Waste Management and Research, vol. 39, no. 8, pp. 1078–1089, Aug. 2021, doi:10.1177/0734242X20988781.
R. Ojha, “Lean in industry 4.0 is accelerating manufacturing excellence – A DEMATEL analysis,” TQM Journal, 2022, doi: 10.1108/TQM-11-2021-0318.
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