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Journals / Mersin Üniversitesi Sosyal Bilimler Enstitüsü Dergisi / 2023 / Cilt: 7 Sayı: 1

Managerial intuition vs. algorithm: The effect of algorithmic workload allocation on labor performance

Yönetici sezgisi yerine algoritma: Algoritmik iş yükü dağıtım kararlarının bireysel performansa etkisi

Ender Gürgen(MERSİN ÜNİVERSİTESİ, İKTİSADİ VE İDARİ BİLİMLER FAKÜLTESİ, İŞLETME BÖLÜMÜ)0000-0002-1654-3005
Orhan Ozguven0000-0003-0863-5185
Mehmet Nasih Tağ(MERSİN ÜNİVERSİTESİ, İKTİSADİ VE İDARİ BİLİMLER FAKÜLTESİ, İŞLETME BÖLÜMÜ)0000-0002-8605-280X
Pages
31–44
Publication Date
2023-12-31
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

This result shows that the use of a mathematical algorithm in distribution decisions made in organizations will affect distributive justice or the perception of justice.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Equitable distribution of workload among employees is an important part of organizational and managerial justice.
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Key Findings & Data:The aim of this study is to examine the effect of using a mathematical algorithm instead of manager intuition in workload distribution decisions on workforce performance.
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Conclusion & Impact:This result shows that the use of a mathematical algorithm in distribution decisions made in organizations will affect distributive justice or the perception of justice.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Adil iş yükü dağıtımı · İşgücü performansı · İşgücü rotasyonu

Abstract

Equitable distribution of workload among employees is an important part of organizational and managerial justice. The aim of this study is to examine the effect of using a mathematical algorithm instead of manager intuition in workload distribution decisions on workforce performance. We argue that workload allocation according to the 0-1 integer programming model developed for this study would increase labor performance. A randomized controlled trial designed to test this argument was implemented in the container terminal of a large seaport. Half of the workers (treatment group) employed in the terminal were rotated between three tasks for a month based on the 0-1 integer programming method. The other half (control group) were also rotated between the same tasks based on manager intuition. We measured the performance of individual workers in both groups for all working days in a month. Regression analysis applied to the collected data shows that the performance of the individuals in the treatment group was significantly higher than the performance of the control group. This result shows that the use of a mathematical algorithm in distribution decisions made in organizations will affect distributive justice or the perception of justice.

Özet

İş yükünün çalışanlar arasında hakkaniyete uygun bir şekilde dağıtımı, örgütsel ve yönetsel adaletin önemli bir parçasıdır. Bu çalışmanın amacı iş yükü dağıtım kararlarında yönetici sezgisi yerine matematiksel bir algoritma kullanımının işgücü performansına etkisini incelemektir. Bu amaçla geliştirilen 0-1 tamsayılı programlama modeline göre iş yükü dağıtımının işgücü performansını artıracağı varsayılmaktadır. Bu varsayımı test etmek için tasarlanan randomize kontrollü bir deney büyük bir limanın konteyner terminalinde uygulanmıştır. Terminalde çalışan işçilerin yarısı (deney grubu) 0-1 tamsayılı programlama yöntemine göre diğer yarısı (kontrol grubu) ise yönetici sezgisine dayalı olarak bir ay boyunca üç görev arasında rotasyona tabi tutulup performansları izlenmiştir. Toplanan verilere uygulanan regresyon analizi, deney grubundaki çalışanların performansının kontrol grubunda olan çalışanların performansına göre önemli ölçüde yüksek olduğunu göstermektedir. Bu sonuç, organizasyonlarda verilen dağıtım kararlarında matematiksel bir algoritma kullanımının dağıtımsal adaleti veya adalet algısını etkileyeceğini göstermektedir.

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Cite This Article

Gürgen, E., Ozguven, O., Tağ, M. N., *, E. G. (2023). Managerial intuition vs. algorithm: The effect of algorithmic workload allocation on labor performance. Mersin Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, Cilt: 7 Sayı: 1, 31–44. https://doi.org/10.55044/meusbd.1369817

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