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

Zhang, Qi-Zhen; Jiang, Shan; Liu, Ran; Liu, Hu‐Chen

doi:10.3390/math8101729

Cited by 16 publications

(12 citation statements)

References 47 publications

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“…It allows determination of the cause-andeffect interdependencies between objects in complex systems [24]. It is used to identify relationships among performance indicators and to determine KPIs in problems related to, for example, university [25] or hospital [26] management.…”

Section: Methodsmentioning

confidence: 99%

Macroeconomic and Social Indicators to Launch the PM-Based VBHC Model in the Healthcare System in Poland

Nojszewska

Sielska

2022

IJERPH

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Global health systems face shortages of resources and, above all, money, with a simultaneous increase in health spending, as well as doubts about their effectiveness. In addition, there is a growing sense of greater achievement of the essential goal of clinical effectiveness. In the face of these problems, many centres are working on a new system of financing healthcare providers, primarily hospitals, which provide the most expensive medical services. In the opinion of the authors, an essential element for the implementation of VBHC is a comprehensive knowledge of hospitals, health care, the economy, public finances and the behaviour of members of society, based on KPIs. The work on these is not well advanced, and it seems that without the knowledge of economic and social determinants, it will not be possible to implement an affective VBHC model. Therefore, in the present article, after presenting the current state of research regarding the VBHC, personalised medicine as a prerequisite for achieving clinical effectiveness, and KPIs as a prerequisite for achieving economic efficiency, the authors focus on economic and sociological KPIs. The knowledge gained from this study is necessary to make effective decisions for the appropriate operation of healthcare as a system, and of hospitals in particular.

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Section: Methodsmentioning

confidence: 99%

Macroeconomic and Social Indicators to Launch the PM-Based VBHC Model in the Healthcare System in Poland

Nojszewska

Sielska

2022

IJERPH

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“…In [20], new research has been done to optimize university performance management. The authors present a new integrated model that combines linguistic hesitant fuzzy sets with the decision-making trial and evaluation laboratory method.…”

Section: Related Workmentioning

confidence: 99%

A new model to improve decision-making indicators of bank customers' based on neural networks and particle swarm optimization algorithm

Asghari¹,

Azgomi

negahi³

2022

Preprint

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Due to the large volume of customers' banking information, classical algorithms face challenges in extracting knowledge and the decision-making process, so algorithms based on artificial intelligence and data mining can help this area. In this paper, we have presented a new model based on the artificial neural network and particle swarm optimization algorithm to improve bank customers' decision-making indicators. The proposed method is based on artificial neural networks and particle swarm optimization (PSO) algorithm. Due to the large volume of available data, the pure neural network can not achieve proper convergence in this area and suffers divergence or overfit. In this paper, the PSO algorithm is used to optimize neural network weights in extracting knowledge from user's banking data to improve the decision indicators. To evaluate the proposed method, two scenarios of optimized neural network using PSO and pure neural networks are used to make decisions between good and bad customers. Then, to evaluate the efficiency of the proposed method, the parameters of accuracy, Sensitivity, and Specificity for both scenarios were extracted and compared. The evaluations show that the accuracy of the optimized neural network is about 97%. In contrast, this value in the pure neural network is about 94%, indicating the proposed method's better performance. The proposed method also has better performance in the sensitivity parameter and feature selection and avoids overfitting than primary neural networks.

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“…The changes are taking place in the economy and career processes are getting transformed too. Few years ago, employee considered themselves to be employed by any organization for the life time and it was all steady upward career path and employee loyalty with his organization traditionally (Zhang, Jiang, Liu, & Liu, 2020). However, in dynamic environment, no-one can guarantee for life time employment in the same organization.…”

Section: Protean Career Orientation and Perceived Employabilitymentioning

confidence: 99%

How Subjective Career Success of Public Sector Universities’ Teachers Is Affected by Protean Career Orientation?

Rehan

Khan

Mumtaz

2021

RAMSS

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The study explored the mediating effect of Perceived Employability (PE) on faculty members’ protean career orientation (PCO) and Career Success (CS). The study is exploratory in nature which aimed to ascertain the mediating relationship of perceived employability between protean career orientation and career success of faculty members working in public sector institutions of higher learning. The researchers tried to test protean career theory by developing a conceptual framework. Data were gained through self-administrated questionnaires from the faculty members working in Punjab’s Public Sector Universities. For the purpose of sampling: stratified sampling technique was applied for data collection. Data were obtained from 269 respondents’ for testing the theoretical model. Measurement model was analyzed by applying Structural Equation Modeling (SEM) for testing the hypothesis. For this purposed we used SMART-PLS Licensed version 3. The researchers detected a statistically significant mediating role of perceived employability between protean career orientation and subjective career success. Due to the scarcity of financial and time constraints we have collected data from only 12 universities of Punjab, Pakistan. However, the results can be generalized as all the public sector universities are governed by same governing body; named Higher Education Commission of Pakistan (HEC).

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

Cited by 16 publications

References 47 publications

Macroeconomic and Social Indicators to Launch the PM-Based VBHC Model in the Healthcare System in Poland

Macroeconomic and Social Indicators to Launch the PM-Based VBHC Model in the Healthcare System in Poland

A new model to improve decision-making indicators of bank customers' based on neural networks and particle swarm optimization algorithm

How Subjective Career Success of Public Sector Universities’ Teachers Is Affected by Protean Career Orientation?

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