SavedAdd your journal

Journals / International Journal of Engineering and Geosciences / 2019 / Cilt: 4 - Sayı: 2

Human resource management using geographic information systems (GIS): an example from Turkish land registry directorates

Saffet ERDOĞAN
Yüksel BAYRAM
Fred ERNST
Pages
71–77
Publication Date
2022-10-19
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

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

This study shows the first step to improve them and to allow for making better-informed decisions on where, when and what kind of resources to allocate in the human resource management in the public sector.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Recently, a new interest in the social science community in location and a new "spatial social science" that crosses the traditional boundaries between disciplines have emerged.
📊
Key Findings & Data:For this research, personnel and operational data of 957 Land Registry Offices in all districts of Turkey were used.
💡
Conclusion & Impact:This study shows the first step to improve them and to allow for making better-informed decisions on where, when and what kind of resources to allocate in the human resource management in the public sector.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Clustering · GIS · human resource management

Abstract

Recently, a new interest in the social science community in location and a new "spatial social science" that crosses the traditional boundaries between disciplines have emerged. In this context, we will examine the usage of Geographic Information Systems (GIS) in the analysis of human resource management in the public sector. For this research, personnel and operational data of 957 Land Registry Offices in all districts of Turkey were used. These operational data were examined using different clustering techniques. By using tools of Geographic Information Systems to analyze public services, the distribution and condition of services can be understood much better. This study shows the first step to improve them and to allow for making better-informed decisions on where, when and what kind of resources to allocate in the human resource management in the public sector.

🔖

Cite This Article

ERDOĞAN, S., BAYRAM, Y., ERNST, F. (2022). Human resource management using geographic information systems (GIS): an example from Turkish land registry directorates. International Journal of Engineering and Geosciences, Cilt: 4 - Sayı: 2, 71–77. https://ajindex.com/articles/540718

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (14)

  1. Anselin, L. (1995). Local ındicators Of Spatial Association-LISA. Geographical Analysis, 27, pp. 93-115.
  2. Anselin, L., Lozano, L., Koschinsky, J. (2006). Rate Transformations and Smoothing. Spatial Analysis Laboratory Department of Geography, University Of Illinois. Urbana-Champaign. Çabuk, S.N. (2015). GIS Use in Local Authorities and Urban Information Systems. Electronic Journal of Map Technologies. 7, 3, pp. 69-87.
  3. Demirel, R., Erdoğan, S., Sözen, M. A. (2009). Determination of High Risk Regions of Human Brucellosis in Turkey Using Exploratory Spatial Analysis. Turkiye Klinikleri J Med Sci, 29, 1, pp. 25-35.
  4. Dikmetaş, E.; İnan, N. (2000). Sağlık İnsan gücü Planlaması. 1. Ulusal Sağlık İdaresi Kongre Kitabı, Ankara, pp. 107-117.
  5. Erdoğan, S. (2009). Explorative Spatial Analysis of Traffic Accident Statistics and Road Mortality among the Provinces of Turkey. Journal of Safety Research, 40, 5, pp. 341-355.
  6. Erdoğan, S.; Yalçın, M.; Dereli, M.A. (2013.) Exploratory spatial analysis of crimes against property in Turkey. Crime Law Social Change, 59, 1, pp. 63–78.
  7. Ernst, F. (1996). Erstellung eines digitalen Umweltatlas für die Provinz Adana (Südtürkei) (A digital environmental atlas for the Province of Adana (southern Turkey)). Petermanns Geographische Mitteilungen. 140 (4): 217-226.
  8. Fırat, M.; Dursun, Ö. F.; İnce, K.; Talu, M. F.; Aydoğdu, M. (2015). Coğrafi Bilgi Sistemlerin Kentsel Alt Yapı Sistemlerinde Kullanılması. ADYU Mühendislik Bilimleri Dergisi, 2, pp. 24-33.
  9. Getis, A.; Ord, J. K. (1992). The Analysis of Spatial Association By Use Of Distance Statistics. Geographical Analysis, 24, 11, pp. 189-206.
  10. Goodchild, M. (2004). Social Sciences: Interest in GIS Grows. ArcNews Online. Spring 2004. URL: http://www.esri.com/news/arcnews/spring04articles/social-sciences.html
  11. Harries, K. (1999). Mapping Crime: Principle and Practice. Department of Justice. Washington, D.C. İşcan, F., Ilgaz, A. (2017). Analysis of Geographic/Urban Information System Web Presentations of Local Goverments In Turkey, International Journal of Engineering and Geosciences, 2, 3, pp. 75-83.
  12. Jan, A.K., Murty, M.N., Flynn, P.J. (1999). Data Clustering: A Review, ACM Computing Surveys, Vol. 31, No. 3, pp. 263-323.
  13. Mitchell, A. (2005). The ESRI Guide to GIS Analysis. Volume 2: Spatial Measurements and Statistics. ESRI Press,
  14. Redlands, California. Moran, P. A. P. (1948). The interpretation of statistical maps. Journal of the Royal Statistical Society Series B-10, 36. Oliver, D. R. (2005). Intern