Implementation of the Objective Weighting and Grey Relational Analysis Method for the Promotion of the Position of Chief Financial Officer

Muksin Hi  Abdullah; Muhdar Abdurahman; Iswan  A. Thais; Sitna Hajar Hadad

doi:10.33365/jatika.v6i1.16

Muksin Hi Abdullah Institut Teknologi Gamalama di Ternate
Muhdar Abdurahman Institut Teknologi Gamalama di Ternate
Iswan A. Thais Institut Teknologi Gamalama di Ternate
Sitna Hajar Hadad Institut Teknologi Gamalama di Ternate

DOI: https://doi.org/10.33365/jatika.v6i1.16

Keywords: CRITIC Method, GRA Method, Objective Weighting, Performance, Promotion

Abstract

The promotion of the Chief Financial Officer (CFO) position is a form of appreciation for performance, competence, and significant contribution to the organization's financial management. This promotion is expected to motivate individuals to continue to improve their professional competence and have a greater positive impact on the development of the organization in the future. Problems in the promotion of the CFO position often arise due to various factors, both from the internal side of the organization and individuals. One of the main problems is the lack of transparency in the performance appraisal process, where the criteria for promotion are not clear or not in accordance with the standards that have been set. Subjective factors in job appraisals can trigger employee dissatisfaction, especially if the decisions taken are more influenced by personal proximity than competence and achievements. This study aims to implement an objective and accurate decision support system in the promotion process for the position of CFO by applying the GRA method and objective weighting using the CRITIC method. The ranking results show the ranking of candidates in the promotion of the Chief Financial Officer position based on their respective evaluation scores. Candidate 7 took first place with the highest score of 0.1251, followed by Candidate 6 with a score of 0.1242, and candidate 4 was in third place with a score of 0.1101. This shows that Candidates 7 and 6 have a significant competitive advantage over other candidates for the position. Contribution to the promotion of the CFO position is crucial in ensuring that decisions made in the assessment of candidates are not only based on intuition or subjective considerations, but through a systematic, objective, and data-driven approach.

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References

U. Rashid, M. Abdullah, M. I. Tabash, I. Naaz, J. Akhter, and M. S. Al-Absy, “CFO (Chief Financial Officer) Research: A Systematic Review Using the Bibliometric Toolbox,” Journal of Risk and Financial Management, vol. 17, no. 11. 2024. doi: 10.3390/jrfm17110482.

M. Christofi, “The role of chief digital officer: Critical insights into an emerging field and road map for future research,” J. Bus. Res., vol. 172, p. 114390, 2024, doi: https://doi.org/10.1016/j.jbusres.2023.114390.

J. Wang, A. H. Alsharif, N. Abd Aziz, A. Khraiwish, and N. Z. M. Salleh, “Neuro-Insights in Marketing Research: A PRISMA-Based Analysis of EEG Studies on Consumer Behavior,” Sage Open, vol. 14, no. 4, p. 21582440241305364, Oct. 2024, doi: 10.1177/21582440241305365.

J. Wang, S. Setiawansyah, and Y. Rahmanto, “Decision Support System for Choosing the Best Shipping Service for E-Commerce Using the SAW and CRITIC Methods,” J. Ilm. Inform. dan Ilmu Komput., vol. 3, no. 2, pp. 101–109, 2024, doi: 10.58602/jima-ilkom.v3i2.32.

J. Wang, A. R. Isnain, R. R. Suryono, Y. Rahmanto, M. Mesran, and S. Setiawansyah, “Decision Support System for Platform Selection in E-Commerce Using the OWH-TOPSIS Method,” J. Comput. Syst. Informatics, vol. 6, no. 1, pp. 172–181, 2024, doi: 10.47065/josyc.v6i1.5990.

P. Palupiningsih and S. Setiawansyah, “Best Sales Selection Using a Combination of Reciprocal Rank Weighting Method and Multi-Attribute Utility Theory,” J. Comput. Informatics Res., vol. 3, no. 3, pp. 242–250, Jul. 2024, doi: 10.47065/comforch.v3i3.1496.

A. Choicharoon, R. Hodgett, B. Summers, and S. Siraj, “Hit or miss: A decision support system framework for signing new musical talent,” Eur. J. Oper. Res., vol. 312, no. 1, pp. 324–337, Jan. 2024, doi: 10.1016/j.ejor.2023.06.014.

I. M. Jiskani, Q. Cai, W. Zhou, X. Lu, and S. A. A. Shah, “An integrated fuzzy decision support system for analyzing challenges and pathways to promote green and climate smart mining,” Expert Syst. Appl., vol. 188, p. 116062, 2022, doi: https://doi.org/10.1016/j.eswa.2021.116062.

M. H. Naseem, J. Yang, and Z. Xiang, “Selection of Logistics Service Provider for the E-Commerce Companies in Pakistan Based on Integrated GRA-TOPSIS Approach,” Axioms, vol. 10, no. 3. 2021. doi: 10.3390/axioms10030208.

T. Yang, X. Zhao, Q. Sun, Y. Zhang, and J. Xie, “Elucidating the anti-inflammatory activity of platycodins in lung inflammation through pulmonary distribution dynamics and grey relational analysis of cytokines,” J. Ethnopharmacol., vol. 323, p. 117706, Apr. 2024, doi: 10.1016/j.jep.2024.117706.

H. Liu and Z. Chang, “Multi-objective optimization of temperature uniformity in the immersion liquid cooling cabinet with Taguchi-based grey relational analysis,” Int. Commun. Heat Mass Transf., vol. 154, p. 107395, May 2024, doi: 10.1016/j.icheatmasstransfer.2024.107395.

J. Wang, D. Darwis, S. Setiawansyah, and Y. Rahmanto, “Implementation of MABAC Method and Entropy Weighting in Determining the Best E-Commerce Platform for Online Business,” JiTEKH, vol. 12, no. 2, pp. 58–68, 2024, doi: 10.35447/jitekh.v12i2.1000.

A. Yudhistira, J. Wang, Y. Rahmanto, and S. Setiawansyah, “Decision Support System for Optimizing Supplier Selection Using TOPSIS and Entropy Weighting Methods,” J. Pendidik. dan Teknol. Indones., vol. 4, no. 5 SE-, pp. 175–185, Nov. 2024, doi: 10.52436/1.jpti.456.

Q. Wang, T. Cheng, Y. Lu, H. Liu, R. Zhang, and J. Huang, “Underground Mine Safety and Health: A Hybrid MEREC–CoCoSo System for the Selection of Best Sensor,” Sensors, vol. 24, no. 4, p. 1285, Feb. 2024, doi: 10.3390/s24041285.

M. N. D. Satria, S. Setiawansyah, and M. Mesran, “Combination of CRITIC Weighting Method and Multi-Attribute Utility Theory in Network Vendor Selection,” Build. Informatics, Technol. Sci., vol. 6, no. 1, pp. 188–197, 2024, doi: 10.47065/bits.v6i1.5342.

S. M. Vadivel, D. S. Shetty, A. H. Sequeira, E. Nagaraj, and V. Sakthivel, “A Sustainable Green Supplier Selection Using CRITIC Method,” in International Conference on Intelligent Systems Design and Applications, Springer, 2023, pp. 308–315. doi: 10.1007/978-3-031-27440-4_29.

Andris Silitonga and Dyah Ayu Megawaty, “Decision Support System Feasibility for Promotion using the Profile Matching Method,” J. Data Sci. Inf. Syst., vol. 1, no. 2 SE-Articles, pp. 50–56, May 2023, doi: 10.58602/dimis.v1i2.46.

sutrisno situmorang and J. Manullang, “Decision Support System Of AMIK Medicom Promotion Strategy Determination Using AHP Method ,” J. ICT Inf. Commun. Technol., vol. 13, no. 1 SE-Articles, pp. 20–37, Apr. 2022, doi: 10.35335/jict.v13i1.34.

Odi Anggreawan Widodo, Nur Hazimah Syani Harahap, Alamsyah, Much Aziz Muslim, and Yosza Dasril, “Decision Support System Promotion of Structural Position Improvement of Civil Sevants Using Fuzzy Umano,” Indones. Community Optim. Comput. Appl., vol. 1, no. 1 SE-Articles, pp. 1–8, Sep. 2023, [Online]. Available: http://e-journal.ptti.info/index.php/icoca/article/view/67

T. Van Dua, D. Van Duc, N. C. Bao, and D. D. Trung, “Integration of objective weighting methods for criteria and MCDM methods: application in material selection,” EUREKA Phys. Eng., no. 2, pp. 131–148, Mar. 2024, doi: 10.21303/2461-4262.2024.003171.

L. Zhang, Q. Cheng, and S. Qu, “Evaluation of Railway Transportation Performance Based on CRITIC-Relative Entropy Method in China,” J. Adv. Transp., vol. 2023, pp. 1–11, Mar. 2023, doi: 10.1155/2023/5257482.

S. Chakraborty, H. N. Datta, and S. Chakraborty, “Grey Relational Analysis-Based Optimization of Machining Processes: a Comprehensive Review,” Process Integr. Optim. Sustain., vol. 7, no. 4, pp. 609–639, Aug. 2023, doi: 10.1007/s41660-023-00311-4.

D. Tiwari and V. Soni, “Multi-response optimization in the ORC-VCR system using the EDAS Method,” Energy Build., vol. 313, p. 114281, 2024, doi: https://doi.org/10.1016/j.enbuild.2024.114281.