Organizational Resilience Measurement and Development Approaches at an Energy Production Company in Türkiye
5th International Conference on Science, Engineering Management and Information Technology, SEMIT 2025, Dubai, Birleşik Arap Emirlikleri, 11 - 13 Eylül 2025, cilt.2651 CCIS, ss.242-256, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Cilt numarası: 2651 CCIS
- Doi Numarası: 10.1007/978-3-032-04225-5_16
- Basıldığı Şehir: Dubai
- Basıldığı Ülke: Birleşik Arap Emirlikleri
- Sayfa Sayıları: ss.242-256
- Anahtar Kelimeler: energy sector, Organizational resilience, strategic planning
- Ankara Yıldırım Beyazıt Üniversitesi Adresli: Evet
Özet
Organizational resilience has strategic importance in terms of preserving the ability of institutions to adapt and sustain themselves in times of uncertainty and crisis. In this study, the resilience levels of human resources, investment, quality and operations departments within the company that serve in the renewable energy sector are analyzed by considering the dynamics specific to the sector. The aim of the study is to determine the resilience levels of the departments and to make strategic inferences to increase the organizational resilience of the company. Within the scope of the study, organizational resilience was measured with survey questions determined under five factors and data were obtained with a survey applied to employees working in the institution. The reliability of the survey was evaluated with the Croanbach Alpha coefficient, and Kaiser-Meyer-Olkin and Barlett tests were applied to determine the suitability of the data for analysis. Upon conformity of the test results, the weights of the factors were determined with Confirmatory Factor Analysis. Using the obtained factor weights, Resilience Index Measurement and Analysis (RIMA) scores were calculated to analyze the opinions of the survey participants about the resilience of the organization. The RIMA scores were computed using Python-based tools, including pandas, factor analyzer, and semopy for data processing, factor analysis, and confirmatory factor analysis. In addition, Business Impact Analysis was performed with factor weights and survey data, and thus the resilience levels of the departments were determined. As a result of these analyses, the strengths and weaknesses of the organization were revealed, and it was determined in which areas of improvement were needed.