scholarly journals An Integrated Decision-Making Model for Analyzing Key Performance Indicators in University Performance Management

Mathematics ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. 1729
Author(s):  
Qi-Zhen Zhang ◽  
Shan Jiang ◽  
Ran Liu ◽  
Hu-Chen Liu
Keyword(s):  
Decision Making ◽  
Performance Management ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
University Management ◽  
Comprehensive University ◽  
Fuzzy Dematel ◽  
Gray Relation Analysis ◽  
University Performance ◽  
Decision Making Model

University performance has an important effect on the social influence of universities. With increasing emphasis placed on higher education, it is important to improve and optimize university performance management. However, the performance of university management is affected by numerous indicators in practice, and it is difficult for administrators to optimize all of them because of resource restriction. To address this concern, in this paper, we design a novel integrated model by combining linguistic hesitant fuzzy sets (LHFSs) with the decision-making trial and evaluation laboratory (DEMATEL) method to identify key performance indicators (KPIs) for improving the level of university performance management. Specifically, the LHFSs are utilized to express the hesitant and vague interrelationship assessment of performance indicators provided by experts. A modified DEMATEL is adopted to visualize the causal relationship between performance indicators and determine critical ones. Moreover, we introduce a gray relation analysis (GRA)-based method to derive experts’ weights when their weight information is unknown. Finally, a comprehensive university in Shanghai, China, is employed as an example to illustrate the practicability and availability of the proposed linguistic hesitant fuzzy DEMATEL model.

scholarly journals IT Effect Assessment for Non-profit Organization

2019 ◽  
Vol 8 (4) ◽  
pp. 8854-8858
Keyword(s):  
Performance Management ◽  
Performance Indicators ◽  
Business Processes ◽  
Key Performance Indicators ◽  
Federal State ◽  
Non Profit ◽  
Core Business ◽  
The Core ◽  
Commercial Activities ◽  
Non Profit Organizations

The article is devoted to assessing the effect of the implementation of information technologies in non-profit organizations. The purpose of the assessment is to evaluate the effect of IT implementation and its impact on key performance indicators of an organization. The indicators characterizing the results of the organization’s activities in accordance with the State Assignment and the results of commercial activities were used as the key performance indicators. For federal state budget NPOs, it has been shown that a positive IT effect for auxiliary business processes does not directly ensure positive performance indicators for the core business processes. Hidden effects of the use of IT were assessed by changes of the indicators of the core business processes. Performance indicators characterizing the results of commercial activities may demonstrate a negative effect. Understanding the specifics of non-profit organizations, as well as metrics and performance parameters characterizing the effectiveness of such organizations, is important to ensure a correct approach to the digitalization of business processes and their performance management.

Precursor Selection for Sol–Gel Synthesis of Titanium Carbide Nanopowders by a New Cubic Fuzzy Multi-Attribute Group Decision-Making Model

2017 ◽  
Vol 28 (5) ◽  
pp. 699-720 ◽  
Author(s):  
Aliya Fahmi ◽  
Saleem Abdullah ◽  
Fazli Amin ◽  
Asad Ali
Keyword(s):  
Decision Making ◽  
Titanium Carbide ◽  
Group Decision ◽  
Sol Gel ◽  
Topsis Method ◽  
Numerical Application ◽  
Gray Relation Analysis ◽  
Relation Analysis ◽  
Decision Making Model ◽  
Sol Gel Synthesis

Abstract In this paper, we construct an extended version of the TOPSIS method by using cubic information, and provide a numerical application to verify and demonstrate the practicality of the method. A new extension of the gray relation analysis (GRA) method is introduced by using cubic information. We also propose the cubic fuzzy multi-attribute group decision-making model, and the relation between the cubic TOPSIS method and the cubic gray relation analysis (CGRA) method is introduced. Finally, the proposed method is used for selection in sol–gel synthesis of titanium carbide nanopowders. We analyzed the proposed method by using a numerical application to sol–gel synthesis of titanium carbide nanopowders.

Key Performance Indicators and Information Flow

2011 ◽  
pp. 2808-2828
Author(s):  
Alexander Berler ◽  
Sotiris Pavlopoulos ◽  
Dimitris Koutsouris
Keyword(s):  
Knowledge Management ◽  
Performance Management ◽  
Information Flow ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Medical Community ◽  
Digital Radiology ◽  
Electronic Healthcare Record ◽  
Medical Sector ◽  
Balanced Scorecards

It is paradoxical that, although several major technological discoveries such as Magnetic Resonance Imaging and Nuclear Medicine and Digital Radiology, which facilitate improvement in patient care, have been satisfactorily embraced by the medical community, this has not been the case with Healthcare Informatics. Thus, it can be argued that issues such as Data Management, Data Modeling, and Knowledge Management have a long way to go before reaching the maturity level that other technologies have achieved in the medical sector. This chapter proposes to explore trends and best practices regarding knowledge management from the viewpoint of performance management, based upon the use of Key Performance Indicators in healthcare systems. By assessing both balanced scorecards and quality assurance techniques in healthcare, it is possible to foresee an electronic healthcare record centered approach which drives information flow at all levels of the day-to-day process of delivering effective and managed care, and which finally moves towards information assessment and knowledge discovery.

scholarly journals New Strategic Thinking in Mitigating the Challenges in Implementing Key Performance Indicators (KPIs) and Increasing Efficiency in Corporate Performance Management in MENA Region

2019 ◽  
Vol 10 (4) ◽  
pp. 59
Author(s):  
Moetaz Soubjaki ◽  
Radwan Choughri
Keyword(s):  
Performance Management ◽  
Significant Relationship ◽  
Performance Indicators ◽  
Corporate Performance ◽  
Implementation Process ◽  
Key Performance Indicators ◽  
Strategic Thinking ◽  
Mena Region ◽  
Effective Implementation ◽  
Goals And Objectives

The implementation of key performance indicators (KPIs) is a challenging task for many businesses. Yet, effective implementation of KPIs is among the major determinants of performance and success of an organization. This study explored the new strategic thinking in mitigating the challenges in implementing key performance indicators (KPIs) and increasing efficiency in corporate performance management in the Middle East & North Africa (MENA) region. The study sought to test three hypotheses: (i) there is a significant relationship between having enough training and awareness sessions before implementation and effective implementation of KPIs; (ii) there is a significant relationship between having KPI professionals and specialists and effective implementation of KPIs; and (iii) there is a significant relationship between having clear KPI goals and objectives, on one hand, and the effective implementation of KPIs on the other. Hypotheses 2 and 3 were proved to be true while results for hypothesis 1 were inconclusive. A total of 1007 participants from across the MENA region were involved in the study. The findings demonstrate the importance of having clear KPI goals and objectives and KPI professionals or specialists to oversee the KPI selection and implementation process. Further research should be conducted to establish whether there is a significant relationship between having enough training and awareness sessions before implementation and effective implementation of KPIs.

scholarly journals P1548THE VALUE OF BEING A NETWORK: CLINICAL GOVERNANCE AND DIALYSIS CLINIC PERFORMANCE MANAGEMENT IS ASSOCIATED WITH IMPROVED PATIENTS SURVIVAL

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Luca Neri ◽  
Jasmine Ion Titapiccolo ◽  
Francesco Bellocchio ◽  
Otto Arkossy ◽  
Mario Garbelli ◽  
...  
Keyword(s):  
Performance Management ◽  
Performance Indicators ◽  
Structural Equation ◽  
Clinical Status ◽  
Key Performance Indicators ◽  
P Value ◽  
Clinical Practices ◽  
Historical Cohort ◽  
Intermediate Outcomes ◽  
Dialysis Vintage

Abstract Introduction. In order to help facilitate the uptake of best clinical practices, improve outcomes, enhance efficiency and reduce costs, few healthcare organizations have introduced Continuous Quality Improvement (CQI) programs. Since September 2014, dialysis centers belonging to the EMEA Fresenius Medical Care (FME) network have introduced a CQI policy called Medical Peer Review (MPR) based on key performance indicators (KPI) related to patient’s clinical status. We exploit the quasi-experimental setting generated by the introduction of FMC CQI policy, to evaluate the association between improvement in intermediate outcomes (key performance indicators) and prolonged survival among dialysis patients registered in the EMEA FME network. Methods. We conducted a historical cohort study. We included adult patients on chronic dialysis with less than 90 days between renal replacement therapy (RRT) initiation date and first treatment date in FME clinics. We compared KPI target achievement (P-BSC score) and 2-year mortality for patients enrolled prior to MPR-CQI policy onset (Cohort A) and a cohort of patients enrolled after MPR-CQI policy onset (Cohort B). Structural Equation model was adopted to estimate the association of MPR-CQI policy on patients’ survival through changes in intermediate outcomes (P-BSC score). Results. The Cohort A and Cohort B consisted of 2397 and 1873 patients, respectively. We observed no difference across groups concerning the distribution of age (63.1 vs 62.8 years), gender (59% vs 60% males) and body mass index (27.6 vs 26.4 kg/m2); Cohort A showed lower Charlson’s comorbidity index (3.3±1.5 vs 3.8±1.9, p<0.01) and higher dialysis vintage (32.9±27.0 vs 21.3±22.2 days, p-value<0.01) compared to Cohort B. P-BSC scores over the 6-month ascertainment period was 5.25±1.47 in the pre CQI-MPR policy cohort, while it was significantly higher (6.67±1.63) in the post CQI-MPR policy cohort. Mediation analysis demonstrated a strong indirect effect of CQI-MPR implementation on mortality trough improvement of P-BSC rating score occurring in the post-implementation era (OR=0.70, p<0.001) Conclusion. We showed that, after discounting for potential unmodifiable confounding factors and potential unmeasured selection/chronological bias, improvement of intermediate outcomes and performance indicators occurred after MPR-CQI policy implementation, was associated to a strong improvement in survival. Figure:

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