importance-performance matrix

The aim of this research is to analyze the Importance-Performance Matrix (IPMA) of FinTech indicators in the institutional banking environment. 

This research is applied in nature, with a descriptive-analytical method, and it was conducted as a cross-sectional survey. The nature of the research is exploratory mixed-method, combining qualitative (Delphi method) and quantitative (Importance-Performance analysis) approaches. The statistical population in the qualitative section includes banking experts with PhDs in financial management and information and communication technology, and in the quantitative section, it includes an unlimited number of banking customers. A purposive sampling method was used to select participants for the qualitative section, and for the quantitative section, 384 individuals were determined based on Cochran's formula. Semi-structured interviews were used to identify the desired components in the Delphi technique. In the quantitative section, to determine the relationships between variables and the related importance coefficients, the partial least squares method (PLS) was used, and the ranking of components was conducted using the Importance-Performance Matrix analysis. Based on the Delphi results, a researcher-developed questionnaire was used in the quantitative section. In the qualitative section, EXCEL software was used, and in the quantitative section, SMARTPLS software was employed. 

Based on the Delphi technique, 17 components and 5 dimensions were identified in the FinTech evaluation model within the institutional banking environment. The identified themes include performance management, FinTech efficiency in the banking industry, customer identification, FinTech implementation infrastructure, and bank objectives and planning based on FinTech. 

According to the Importance-Performance Matrix, performance management ranks at the highest level, followed by FinTech efficiency in the banking industry and bank objectives and planning based on FinTech

Today, Science and Research Centers (SRCs) by establishing flow of knowledge and information and exchanging it among industry players can provide an appropriate platform for the production, development and dissemination of science and technology and creating an atmosphere of innovation in the country. Therefore, SRCs need to use a model to measure innovation and its maturity. In this research, based on the literature review and experts’ opinion, six main indicators were identified: innovation culture, development and infrastructures of innovation, networking, innovation processes, human resources and policies and strategies of a Defense Scientific and Research Centers (DSRCs). After confirming the indicators, by using the factor load of questions and the average of comments, the importance of each item and its performance were identified, respectively. Then, using the importance-performance matrix, the variables were measured and guidance strategy of each index based on the importance-performance matrix analysis was proposed. This research in terms of purpose is applied and in terms of nature and research method is descriptive-survey. The final results show that the average of all innovation indicators is less than the theoretical average. The only HR Factor of the institution is close to average and desirable index.

The purpose of this study is to design a model for human resource development in the tourism industry of Isfahan province based on the knowledge management process. The statistical population consists of experts in the tourism industry of Isfahan province selected by the purposeful criterion-based method, who were surveyed through a questionnaire. The data were analyzed through interpretive structural modeling and importance-performance matrix. The designed model includes 9 indicators which, according to the knowledge management process, are classified in 4 dimensions including knowledge creation, knowledge retention, knowledge transfer and distribution, and application of knowledge, and were placed in 5 levels and their relationships were identified. The results showed that at the lowest level, the indicators of "designing the model of occupational competencies of tourism industry" and "designing human resource information system" impose the greatest impact on other indicators. In fact, they are the most important indicators of human resource development of tourism industry in Isfahan province. The indicator of “defining and presentation of excellence awards for human resource management of tourism industry" occupied the highest level with the most dependence. Furthermore, the results of the importance-performance matrix of human resource development indicators showed that all 9 identified indicators were in the area of focus or weakness, which indicates that more attention should be paid.

The general concern about supplying food is one of the important issues before an earthquake happens. This research aims to present a conceptual model for “humanitarian supply chain practices to supply food before an earthquake” and prioritizing its practices. This research is applied in nature and it is descriptive regarding the tools and instruments of data collection. After reviewing the related literature and interviewing some experts, 7 criteria and 19 sub-criteria were identified. Then the questionnaire was distributed among the related managers, experts, and academics and 281 questionnaires were completed and gathered. This measuring model was tested according to Structuring Equation Modeling. Furthermore, Fuzzy AHP was used to weight the importance of each practice and its dimensions. Our findings showed that “Monitoring”, “Education”, and “Readiness for logistics and distribution” are the most important dimensions of our conceptual model. So, we used one sample t-test to measure the performance of each practice. Finally, importance-performance matrix was used for prioritizing the practices. We hope that our results will be a good guidance for managers and decision makers of humanitarian supply chain for better understanding of food supplying practices before an earthquake.

This study intends to identify the dimensions and components of the humanitarian supply chain in post-disaster of earthquake and present conceptual model to measure it. After designing the questionnaire and determine its validity and reliability, the questionnaire was distributed between managers and rescuers in partner organizations in helping in earthquakes affected areas Bam in Kerman, Varzaqan-Ahar in east Azerbaijan and Dashti in Boshehr and finally the 284 questionnaires were completed by managers and rescuers in the case studies. Confirmatory factor analysis in order to assess the content validity of the questionnaire is used first, and then to evaluate the importance and performance of these measures in relevant organizations, the one sample t-test method was conducted, and with the help of importance-performance matrix, areas for improvement of components and dimensions are identified and strategies to improve humanitarian supply chain performance in post-disaster of earthquake was presented.
Therefore, the research method is applied and in terms of gathering information tool is descriptive-correlation. The findings indicate, the components of ““supervision of custodian organizations on construction” and “Coordination between partners in rebuilding” were evaluated high importance and low performance and were located in critical area and they are in the first priority. Also, the components of “Correct assessment of damages and needed Equipment and resources for rebuilding” and “provide continuous psychological support and advice to Survivors” were evaluated in high importance and high performance and they are in the next priority.