ÇALIŞANIN MESAİYE GECİKMESİNE NEDEN OLAN FAKTÖRLER (BİR ATIK YÖNETİM TESİSİNİN ÖRNEKLEMİ ÜZERİNE AMPİRİK BİR ARAŞTIRMA)

Bu araştırmanın amacı, İstanbul’da faaliyet gösteren bir atık yönetim tesisinin veri seti kapsamında mesaiye gecikme davranışını etkileyen faktörleri analiz etmektir. Veri seti mesaiye 5 ile 60 dakika arasında geciken 128 çalışana ait 2,433 gecikme vakasına ilişkin kayıtları kapsamaktadır. Gecikme, araştırmanın bağımlı değişkenidir. Gecikme mesai başlangıcına gecikilen dakika bazında ölçülmüştür. Bağımsız değişkenler ise, demografik değişkenler (cinsiyet ve yaş gibi), işle ilişkili faktörler (birim ve pozisyon gibi) ve işle ilişkili olmayan faktörlerden (gün ve ay gibi) oluşmaktadır. Mesaiye gecikmeyi etkileyen faktörleri tanımlamada hiyerarşik regresyon analizi kullanılmıştır. Regresyon analizi sonuçları, yaş ve eğitim gibi bazı demografik değişkenlerin gecikmelerin açıklayıcı değişkenleri olduğunu göstermektedir. Ayrıca kıdem ve birim gibi işle ilgili değişkenler de gecikmelerin yordayıcısı olarak tespit edilmiştir. Bulgular, aynı zamanda, gün ve ay gibi işle ilişkili olmayan bazı faktörlerin de gecikmeleri etkileyen değişkenler olduğuna işaret etmektedir. Tüm değişkenler bir arada gecikmeleri %11,5 oranında açıklayabilmektedir. Araştırmanın bir diğer sonucu, gecikme ile yaş, eğitim, kıdem ve birim arasında yüksek düzeyde korelasyon ilişkisi olduğu yönündedir. Nihayet, ANOVA analizleri gecikmeler açısından cinsiyet farklılığı olduğunu göstermiştir. Kadınların erkeklere oranla daha fazla gecikme yaşadıkları tespit edilmiştir. Bu farklılığı yaratan asıl faktör, kadınların ailevi ve çocuk sorumlukları olabilir.

Anahtar Kelimeler:

İşe gecikme, mesaiye gecikme, çekilme davranışı, devamsızlık.

FACTORS AFFECTING EMPLOYEE’S LATENESS TO WORK (AN EMPIRICAL STUDY ON A SAMPLE FROM A WASTE MANAGEMENT FACILITY)

This paper investigates the factors leading employee lateness, based on a sample from a waste management facility in Istanbul. The data set included 2.433 incidences of lateness to work varying between 5 and 60 minutes for 128 employees. Lateness was the dependent variable, which was defined by the number of minutes late to work. The independent variables were employee characteristics (i.e. gender and age), job characteristics (i.e. department and position) and non-work factors (i.e. day and month). The study analyzed the predictors of lateness by hierarchical regression analysis. The results of regression analysis showed that some of demographic variables including age and education were significant predictors of tardiness. Moreover, tenure and department as job factors were observed to predict lateness. Also, the findings revealed that several non-work characteristics such as month and day predicted employee tardiness. All predictors accounted for 11.5 percent of the variance in lateness. There was also a highly correlation between tardiness, and age, education, tenure and department. Finally, a significant difference by sex was found with respect to lateness, with females’ workers having higher tardiness compared to male workers. Household and child care responsibilities are the possible reasons for that difference.

Keywords:

Tardiness, employee lateness. withdrawal behavior, absence.,

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