Systems Efficiency
Parisa Moradipour; Seyed Ahmad Edalatpanah; Ali Sorourkhah
Abstract
Purpose: From a marketing perspective, attracting and retaining customers is the key to long-term success in business. From a systemic perspective, higher education institutions can be considered as a type of economic system in which students are the primary customers of these systems. The present research ...
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Purpose: From a marketing perspective, attracting and retaining customers is the key to long-term success in business. From a systemic perspective, higher education institutions can be considered as a type of economic system in which students are the primary customers of these systems. The present research examines the factors that affect the satisfaction and dissatisfaction of students in the management group at a higher education institution.Methodology: This study collected data through telephone interviews with institution graduates over the past two years. After conducting the interviews, the data was analyzed descriptively.Findings: The results obtained from the interviews indicate significant dissatisfaction with the professors' teaching methods. Additionally, in the managerial aspect, many students expressed dissatisfaction with the lack of smart classrooms, inadequate cafeteria facilities, and the lack of interaction between department heads and students in the thesis process. In the administrative aspect, inappropriate behavior and lack of responsibility among the educational and administrative staff have also led to student dissatisfaction.Originality/Value: Unlike the format of research conducted in this area, which is generally quantitative and deductive, this research was conducted through a survey and interviews.
Systems Efficiency
Hossein Azizi
Abstract
Purpose: Measuring intertemporal efficiency variations (such as window analysis and the Malmquist index) has always been an interesting topic in the field of Data Envelopment Analysis (DEA). However, these methods overlook carry-over activities across two consecutive periods. Instead, they focus independently ...
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Purpose: Measuring intertemporal efficiency variations (such as window analysis and the Malmquist index) has always been an interesting topic in the field of Data Envelopment Analysis (DEA). However, these methods overlook carry-over activities across two consecutive periods. Instead, they focus independently on individual time periods while also taking the time variation effect into account. In the real world of commerce, long planning and investment times can be a source of concern. To adapt to the long-time view, dynamic DEA integrates carry-over activities into the model and allows us to measure the special function of the period based on the long-term optimization during the whole period. Accordingly, dynamic analysis is needed when the data are available.Methodology: The present paper proposes the double-frontier dynamic DEA for simultaneously measuring system efficiency and period efficiency for multitemporal systems in which quasi-fixed input or interstitial periods are the source of intertemporal dependence between consecutive periods.Findings: To illustrate this approach, an example is presented from the forests of Taiwan where the forest entity acts as the quasi-fixed input.Originality/Value: In addition to the optimistic efficiency of the decision-making unit, this approach also considers its pessimistic efficiency. Compared with the traditional dynamic DEA, the double-frontier dynamic DEA approach has a higher differential power in identifying better-performing systems.
