قياس كفاءة كلية العلوم الاقتصادية جامعة سطيف 1 باستخدام التحليل التطويقي للبيانات

Abstract

This study investigates and evaluates the relative technical efficiency of the departments within the Faculty of Economic, Commercial, and Management Sciences at the University of Sétif 1, using the contemporary quantitative approach of Data Envelopment Analysis (DEA). The investigation centered on four academic departments acting as Decision-Making Units (DMUs) across three consecutive academic years (2022/2023, 2023/2024, and 2024/2025). To achieve the research objectives, an input-oriented DEA model under the assumption of Constant Returns to Scale (CRS) was adopted to measure overall technical efficiency. Data processing and analysis were conducted utilizing specialized software, including DEAP v2.1, alongside SPSS for descriptive statistics and correlation matrix analysis. The empirical findings reveal variations in efficiency levels among the departments over the studied period, identifying efficient units that define the best-practice frontier, as well as inefficient units. For the latter, potential target reductions in inputs and input slacks were calculated to guide them toward optimal performance. The study recommends the integration of quantitative decision-making instruments to rationalize administrative and academic planning, ensuring the rational allocation of available resources to enhance overall institutional effectiveness.