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The new combination with CRITIC and WASPAS methods for the time and attendance software selection problem

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  • Ayşegül Tuş

    (Pamukkale University)

  • Esra Aytaç Adalı

    (Pamukkale University)

Abstract

Keeping track of employees’ time and attendance is difficult and time-consuming task for the companies. Today many companies are performing the digital time and attendance systems that automatically track and process the data to improve their operations and save money. There are many alternatives for the time and attendance systems in the market and appropriate selection among them is not easy in the presence of multiple, usually conflicting, criteria. So this selection may be considered as a Multi Criteria Decision Making (MCDM) problem. In this paper, the new combined decision making approach based on Criteria Importance Through Inter criteria Correlation (CRITIC) and Weighted Aggregated Sum Product Assessment (WASPAS) methods is used for the time and attendance software selection problem of the private hospital. The weights of the criteria are determined by CRITIC method and the alternatives are ranked by WASPAS method for finding the most suitable alternative. The novelty of this paper to the literature is to combine CRITIC and WASPAS methods for the first time.

Suggested Citation

  • Ayşegül Tuş & Esra Aytaç Adalı, 2019. "The new combination with CRITIC and WASPAS methods for the time and attendance software selection problem," OPSEARCH, Springer;Operational Research Society of India, vol. 56(2), pages 528-538, June.
    • Handle: RePEc:spr:opsear:v:56:y:2019:i:2:d:10.1007_s12597-019-00371-6
    DOI: 10.1007/s12597-019-00371-6
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    5. Aleksandra Bączkiewicz & Bartłomiej Kizielewicz & Andrii Shekhovtsov & Mykhailo Yelmikheiev & Volodymyr Kozlov & Wojciech Sałabun, 2021. "Comparative Analysis of Solar Panels with Determination of Local Significance Levels of Criteria Using the MCDM Methods Resistant to the Rank Reversal Phenomenon," Energies, MDPI, vol. 14(18), pages 1-21, September.
    6. Raghunathan Krishankumar & Arunodaya Raj Mishra & Fausto Cavallaro & Edmundas Kazimieras Zavadskas & Jurgita Antuchevičienė & Kattur Soundarapandian Ravichandran, 2022. "A New Approach to the Viable Ranking of Zero-Carbon Construction Materials with Generalized Fuzzy Information," Sustainability, MDPI, vol. 14(13), pages 1-24, June.
    7. Imad Hassan & Ibrahim Alhamrouni & Nurul Hanis Azhan, 2023. "A CRITIC–TOPSIS Multi-Criteria Decision-Making Approach for Optimum Site Selection for Solar PV Farm," Energies, MDPI, vol. 16(10), pages 1-26, May.
    8. Aleksandra Stanković & Milan Andrejić & Vukašin Pajić & Milorad Kilibarda & Dragan Djurdjević, 2023. "A Novel Survey-QFD-WASPAS Methodological Approach for Designing Crowd Storage Platforms: A Case Study of Serbia," Sustainability, MDPI, vol. 15(10), pages 1-32, May.
    9. Jaros{l}aw Wk{a}tr'obski & Aleksandra Bk{a}czkiewicz & Iga Rudawska, 2023. "A Strong Sustainability Paradigm Based Analytical Hierarchy Process (SSP-AHP) Method to Evaluate Sustainable Healthcare Systems," Papers 2306.00718, arXiv.org.
    10. Pınar Miç & Z. Figen Antmen, 2021. "A Decision-Making Model Based on TOPSIS, WASPAS, and MULTIMOORA Methods for University Location Selection Problem," SAGE Open, , vol. 11(3), pages 21582440211, August.
    11. Krishankumar, Raghunathan & Pamucar, Dragan & Deveci, Muhammat & Aggarwal, Manish & Ravichandran, Kattur Soundarapandian, 2022. "Assessment of renewable energy sources for smart cities’ demand satisfaction using multi-hesitant fuzzy linguistic based choquet integral approach," Renewable Energy, Elsevier, vol. 189(C), pages 1428-1442.
    12. Roman Vavrek, 2021. "An Analysis of Usage of a Multi-Criteria Approach in an Athlete Evaluation: An Evidence of NHL Attackers," Mathematics, MDPI, vol. 9(12), pages 1-22, June.
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