Evaluation of Salesperson Performance in the Sales Allowance Decision Support System Using the MARCOS and PIPRECIA Methods
Abstract
Optimal salesperson performance is the main key to a company's success in achieving sales targets and business growth. A reliable salesperson is not only able to sell products or services, but also has the ability to build strong relationships with customers. The purpose of this study is to assess the performance of salesperson in providing sales allowances based on performance results carried out by applying a combination of MARCOS and PIPRECIA methods, so as to produce a recommendation for the final assessment of salesperson performance that will assist the company in providing sales benefits to salespersons. The combination of Pairwise Relative Criteria Importance Assessment (PIPRECIA) and Measurement of Alternatives and Ranking According to Compromise Solution (MARCOS) forms a powerful holistic approach to decision making. PRCIA facilitates the identification and assessment of the relative weights of each decision criterion, providing a solid foundation for assigning value to the relative importance between criteria. The results of the salesperson performance evaluation ranking above show the final results for rank 1 with a value of 4.3446 obtained by Rini, rank 2 with a value of 3.5369 obtained by Murniasih, rank 3 with a value of 3.1807 obtained by Hana Ferbi.
Downloads
References
N. Calixto and J. Ferreira, “Salespeople performance evaluation with predictive analytics in B2B,” Appl. Sci., vol. 10, no. 11, p. 4036, 2020.
P. D. Kerr and J. Marcos-Cuevas, “The interplay between objective and subjective measures of salesperson performance: towards an integrated approach,” J. Pers. Sell. Sales Manag., vol. 42, no. 3, pp. 225–242, 2022.
S. Tiwari et al., “A smart decision support system to diagnose arrhythymia using ensembled ConvNet and ConvNet-LSTM model,” Expert Syst. Appl., vol. 213, p. 118933, 2023.
Y. Zhao, F. Cheng, S. Yüksel, and H. Dinçer, “Integer code series enhanced IT2 fuzzy decision support system with alpha cuts for the innovation adoption life cycle pattern recognition of renewable energy alternatives,” IEEE Access, vol. 9, pp. 34906–34920, 2021.
Z. Zhai, J. F. Martínez, V. Beltran, and N. L. Martínez, “Decision support systems for agriculture 4.0: Survey and challenges,” Comput. Electron. Agric., vol. 170, p. 105256, 2020.
Ö. F. Görçün and G. Doğan, “Mobile crane selection in project logistics operations using Best and Worst Method (BWM) and fuzzy Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS),” Autom. Constr., vol. 147, p. 104729, 2023.
M. Stanković, Ž. Stević, D. K. Das, M. Subotić, and D. Pamučar, “A new fuzzy MARCOS method for road traffic risk analysis,” Mathematics, vol. 8, no. 3, p. 457, 2020.
A. Abdulla, G. Baryannis, and I. Badi, “An integrated machine learning and MARCOS method for supplier evaluation and selection,” Decis. Anal. J., vol. 9, p. 100342, 2023.
G. Shanmugasundar, T. K. Mahanta, R. Čep, and K. Kalita, “Novel fuzzy measurement alternatives and ranking according to the compromise solution-based green machining optimization,” Processes, vol. 10, no. 12, p. 2645, 2022.
J. Ali, “A novel score function based CRITIC-MARCOS method with spherical fuzzy information,” Comput. Appl. Math., vol. 40, no. 8, p. 280, 2021.
S. S. H. Dehshiri and B. Firoozabadi, “A new application of measurement of alternatives and ranking according to compromise solution (MARCOS) in solar site location for electricity and hydrogen production: A case study in the southern climate of Iran,” Energy, vol. 261, p. 125376, 2022.
B. Paradowski, B. Kizielewicz, J. Więckowski, and W. Sałabun, “A Sustainable Approach for Determining Compromise Ranking Based on Intuitonistic Fuzzy Score Functions,” in Special Sessions in the Advances in Information Systems and Technologies Track of the Conference on Computer Science and Intelligence Systems, 2022, pp. 192–211.
S. Chakraborty, P. Chatterjee, and P. P. Das, “Measurement Alternatives and Ranking according to Compromise Solution (MARCOS) Method,” in Multi-Criteria Decision-Making Methods in Manufacturing Environments, Apple Academic Press, 2024, pp. 297–307.
D. Stanujkic, D. Karabasevic, G. Popovic, and C. Sava, “Simplified pivot pairwise relative criteria importance assessment (PIPRECIA-S) method,” Rom. J. Econ. Forecast., vol. 24, no. 4, p. 141, 2021.
H. Sulistiani, Setiawansyah, P. Palupiningsih, F. Hamidy, P. L. Sari, and Y. Khairunnisa, “Employee Performance Evaluation Using Multi-Attribute Utility Theory (MAUT) with PIPRECIA-S Weighting: A Case Study in Education Institution,” in 2023 International Conference on Informatics, Multimedia, Cyber and Informations System (ICIMCIS), 2023, pp. 369–373. doi: 10.1109/ICIMCIS60089.2023.10349017.
H. B. Santoso, “Metode Pembobotan Simplified Pivot Pairwise Relative Criteria Importance Assessment dan COPRAS Dalam Penentuan Seleksi Penerimaan Guru,” J. Artif. Intell. Technol. Inf., vol. 1, no. 4, pp. 154–163, 2023.
S. Sudha and N. Martin, “Comparative analysis of Plithogenic neutrosophic PIPRECIA over neutrosophic AHP in criteria ordering of logistics selection,” in AIP Conference Proceedings, 2023, vol. 2649, no. 1.
S. Setiawansyah, “Kombinasi Pembobotan PIPRECIA-S dan Metode SAW dalam Pemilihan Ketua Organisasi Sekolah,” J. Ilm. Inform. dan Ilmu Komput., vol. 2, no. 1, pp. 32–40, 2023.
A. Nainggolan, A. Siregar, and M. Mesran, “Sistem Pendukung Keputusan Penilaian Indeks Kinerja Sales Marketing Menerapkan Metode MOORA,” Hello World J. Ilmu Komput., vol. 1, no. 3, pp. 121–129, 2022.
A. W. Setiyanto and A. S. Purnomo, “Lead Management System Sales Dengan Simple Additive Weighting (SAW),” KONSTELASI Konvergensi Teknol. dan Sist. Inf., vol. 1, no. 2, pp. 314–324, 2021.
A. D. U. Siregar, N. A. Hasibuan, and F. Fadlina, “Sistem Pendukung Keputusan Pemilihan Sales Marketing Terbaik di PT. Alfa Scorph Menggunakan Metode COPRAS,” J. Sist. Komput. dan Inform., vol. 2, no. 1, pp. 62–68, 2020.
R. Y. Simanullang and I. Susilawati, “Seleksi Penerimaan Sales Marketing Dengan Menggunakan Pendekatan Metode Weighted Product Dalam Sistem Pendukung Keputusan,” JIKTEKS J. Ilmu Komput. Dan Teknol. Inf., vol. 1, no. 3, pp. 1–7, 2023.
M. Bakır, Ş. Akan, and E. Özdemir, “Regional aircraft selection with fuzzy PIPRECIA and fuzzy MARCOS: A case study of the Turkish airline industry,” Facta Univ. Ser. Mech. Eng., vol. 19, no. 3, pp. 423–445, 2021.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Evaluation of Salesperson Performance in the Sales Allowance Decision Support System Using the MARCOS and PIPRECIA Methods
Pages: 477-486
Copyright (c) 2024 Sitna Hajar Hadad, Abhishek R Metha, Setiawansyah Setiawansyah, Heni Sulistiani

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).