Modelagem de indicadores de desempenho na gestão da educação a distância: uso do design science research
Strategic Information Systems (SIS) play a crucial role in decision-making in organizations. Key Performance Indicators (KPI) are widely recognized as critical to support the decisionmaking process. When used effectively, KPIs can help organizations identify areas of improvement and address them b...
Na minha lista:
| Autor principal: | |
|---|---|
| Outros Autores: | |
| Formato: | doctoralThesis |
| Idioma: | pt_BR |
| Publicado em: |
Universidade Federal do Rio Grande do Norte
|
| Assuntos: | |
| Endereço do item: | https://repositorio.ufrn.br/handle/123456789/56554 |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|
| Resumo: | Strategic Information Systems (SIS) play a crucial role in decision-making in organizations.
Key Performance Indicators (KPI) are widely recognized as critical to support the decisionmaking process. When used effectively, KPIs can help organizations identify areas of
improvement and address them by making data-driven decisions. By leveraging SIS and KPIs
effectively, organizations can gain competitive advantage and achieve their strategic goals.
Despite the interest in this relationship, few studies have considered the specific problem of
using the KPI for Distance Education applications in strategic instances. This thesis proposes
an original modeling of the main performance indicators (KPIs) for the implementation of a
strategic information system that provides support to decision-making processes for courses
offered in the distance learning mode. The results of this study will provide a comprehensive
framework for measuring these KPIs and analyzing the data collected to inform decisionmaking processes. Data were collected following the Design Science method using an
electronic form (web survey). In the analysis of qualitative and quantitative data, the
mathematical method Total Interpretive Structural Modeling (TISM) was used and the
identification and analysis of interactions between factors or variables through the MICMAC
technique. As a result, the main factors found were elements E1-Academic Development, E2 -
Technology, E3-Innovation Program, E4-Operational Excellence, E5 Internationalization and
Collaboration Strategy, E6-Program Development and Research, E7-Customer Recognition
and E8-Expansion, with element E1 presented at the top of the hierarchy of the graphic model,
this being the element most affected by all the others and the one with the greatest visibility to
stakeholders. The initial model and its groupings formed by the KPIs were consistent with the
final model. In general, these results indicate that groups of Internal and External KPIs of faceto-face and distance learning can be used, confirming their importance and a strong relationship
between their elements. Our study provides a Graphical Decision Model supported by an
interpretative and qualitative matrix of KPIs forming elements, being a way for Managers and
Administrators to obtain a deeper understanding of the performance factors that can drive the
success of distance learning courses. |
|---|