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Çalışanların Fiziksel Risk Etmenlerine Yönelik Maruz Kalma Algısının İstatistiksel Olarak Değerlendirilmesi

Year 2023, Issue: 51, 229 - 237, 31.08.2023
https://doi.org/10.31590/ejosat.1329089

Abstract

Bu araştırma, Çanakkale ilinde bulunan bir gıda üretim tesisinde çalışan çalışanların işyerlerinde karşılaşabilecekleri fiziksel risk faktörlerine yönelik maruz kalma algılarını belirlemek ve bu risk faktörleri ile çalışanların tanımlayıcı özellikleri arasındaki ilişkiyi incelemek amacıyla yapılmıştır. Toplam 400 işletme çalışanına sosyodemografik özellikler ve mesleki risk faktörlerini içeren bir anket uygulandı. Verilerin analizinde SPSS 27.0 istatistik paket programı tercih edilmiştir. Verilerin değerlendirilmesinde frekans, yüzde, ortalama, standart sapma, t-testi ve ANOVA testi gibi istatistiksel yöntemler kullanılmıştır. Sonuçlar %95 güven aralığında ve %5 anlamlılık düzeyinde değerlendirildi. Sonuçlar, çalışanların işyerinde karşılaştıkları fiziksel risk faktörlerine ilişkin maruz kalma algılarının yüksek düzeyde olduğunu göstermektedir. Alınan eğitim ve önlemlere rağmen çalışma ortamında mesleki risklere yönelik yeterli önlemlerin alınmadığı ortaya çıkmıştır. Çalışanların maruz kaldığı risk faktörlerinin yaş, cinsiyet, eğitim düzeyi, mesleki riskler konusunda eğitim, mesleki riskler hakkında bilgi ve alınan önlem düzeyine göre farklılık gösterdiği tespit edilmiştir. Ancak birimin çalışma süresi ile ilgili olmadığı sonucuna varılmıştır.

References

  • Cagri, G. B., (2021), The Use of Work Study Technique in the Determination of Physical Risk Factors in Occupational Safety-An Example of a Textile Business, Master's Thesis, Cukurova University Institute of Science, Adana.
  • Cinar, U., & Cebi, S. (2020). A hybrid risk assessment method for mining sector based on QFD, fuzzy logic and AHP. In Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making: Proceedings of the INFUS 2019 Conference, Istanbul, Turkey, July 23-25, 2019 (pp. 1198-1207). Springer International Publishing.
  • Cinar, U., & Cebi, S. (2020). A hybrid risk assessment method for mining sector based on QFD, fuzzy inference system, and AHP. Journal of Intelligent & Fuzzy Systems, 39(5), 6047-6058.
  • Cinar, U., Ugurlu, O. F., & Cebi, S. (2020). Design of noise-canceling earmuffs with quality function deployment. Customer Oriented Product Design: Intelligent and Fuzzy Techniques, 23-34.
  • DeCarlo, L. T. (1997). On the meaning and use of kurtosis. Psychological methods, 2(3), 292.
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  • Guzel, A. and Okur, A. R. Social Security law. Renovated 9. Pressing. Istanbul: Beta Publications.
  • Hopkins, K. D., & Weeks, D. L. (1990). Tests for normality and measures of skewness and kurtosis: Their place in research reporting. Educational and psychological measurement, 50(4), 717-729.
  • Jeong, J. (2004). Analysis of the factors and the roles of HRD in organizational learning styles as identified by key informants at selected corporations in the Republic of Korea. Texas A&M University. Kilkis, I. (2014). Occupational Health and Safety, Dora, Bursa.
  • Moors, J. J. A. (1986). The meaning of kurtosis: Darlington reexamined. The American Statistician, 40(4), 283-284.
  • Nunnally, J. C. (1975). Psychometric theory—25 years ago and now. Educational Researcher, 4(10), 7-21.
  • Ozkilic, D. (2005). Occupational Health and Safety Management Systems and Risk Assessment Methodologies, Agency - Turkish Press and Printing AS., Ankara, 36 - 70.

Statistical Evaluation of Employees' Perceptions of Exposure to Physical Risk Factors

Year 2023, Issue: 51, 229 - 237, 31.08.2023
https://doi.org/10.31590/ejosat.1329089

Abstract

This research was conducted to determine the exposure perceptions of employees working in a food production facility in Çanakkale to physical risk factors that they may encounter in their workplaces and to examine the relationship between these risk factors and the descriptive characteristics of employees. A questionnaire including sociodemographic characteristics and occupational risk factors was administered to a total of 400 business employees. SPSS 27.0 statistical package program was preferred in the analysis of the data. Statistical methods such as frequency, percentage, mean, standard deviation, t-test and ANOVA test were used to evaluate the data. The results were evaluated at 95% confidence interval and 5% significance level. The results show that employees have a high level of exposure perceptions regarding the physical risk factors they encounter in the workplace. Despite the training and precautions taken, it has been revealed that adequate measures are not taken for occupational risks in the working environment. It has been determined that the risk factors that the employees are exposed to differ according to age, gender, education level, education about occupational risks, knowledge about occupational risks and the level of precautions taken. However, it was concluded that the unit is not related to the working time.

References

  • Cagri, G. B., (2021), The Use of Work Study Technique in the Determination of Physical Risk Factors in Occupational Safety-An Example of a Textile Business, Master's Thesis, Cukurova University Institute of Science, Adana.
  • Cinar, U., & Cebi, S. (2020). A hybrid risk assessment method for mining sector based on QFD, fuzzy logic and AHP. In Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making: Proceedings of the INFUS 2019 Conference, Istanbul, Turkey, July 23-25, 2019 (pp. 1198-1207). Springer International Publishing.
  • Cinar, U., & Cebi, S. (2020). A hybrid risk assessment method for mining sector based on QFD, fuzzy inference system, and AHP. Journal of Intelligent & Fuzzy Systems, 39(5), 6047-6058.
  • Cinar, U., Ugurlu, O. F., & Cebi, S. (2020). Design of noise-canceling earmuffs with quality function deployment. Customer Oriented Product Design: Intelligent and Fuzzy Techniques, 23-34.
  • DeCarlo, L. T. (1997). On the meaning and use of kurtosis. Psychological methods, 2(3), 292.
  • Groeneveld, R. A., & Meeden, G. (1984). Measuring skewness and kurtosis. Journal of the Royal Statistical Society Series D: The Statistician, 33(4), 391-399.
  • Guzel, A. and Okur, A. R. Social Security law. Renovated 9. Pressing. Istanbul: Beta Publications.
  • Hopkins, K. D., & Weeks, D. L. (1990). Tests for normality and measures of skewness and kurtosis: Their place in research reporting. Educational and psychological measurement, 50(4), 717-729.
  • Jeong, J. (2004). Analysis of the factors and the roles of HRD in organizational learning styles as identified by key informants at selected corporations in the Republic of Korea. Texas A&M University. Kilkis, I. (2014). Occupational Health and Safety, Dora, Bursa.
  • Moors, J. J. A. (1986). The meaning of kurtosis: Darlington reexamined. The American Statistician, 40(4), 283-284.
  • Nunnally, J. C. (1975). Psychometric theory—25 years ago and now. Educational Researcher, 4(10), 7-21.
  • Ozkilic, D. (2005). Occupational Health and Safety Management Systems and Risk Assessment Methodologies, Agency - Turkish Press and Printing AS., Ankara, 36 - 70.
There are 12 citations in total.

Details

Primary Language English
Subjects Risk Engineering
Journal Section Articles
Authors

Burak Şimşek 0000-0003-2398-6012

Ulas Cınar 0000-0003-3924-0768

Early Pub Date September 10, 2023
Publication Date August 31, 2023
Published in Issue Year 2023 Issue: 51

Cite

APA Şimşek, B., & Cınar, U. (2023). Statistical Evaluation of Employees’ Perceptions of Exposure to Physical Risk Factors. Avrupa Bilim Ve Teknoloji Dergisi(51), 229-237. https://doi.org/10.31590/ejosat.1329089