A measurement-based model to predict the performance impact of system modifications: a case study

1995 ◽  
Vol 6 (1) ◽  
pp. 28-40 ◽  
Author(s):  
R.T. Dimpsey ◽  
R.K. Iyer
Keyword(s):  
2010 ◽  
Vol 12 (1) ◽  
pp. 52-66 ◽  
Author(s):  
Hyun-Chul Kim ◽  
Dongman Lee ◽  
Kilnam Chon ◽  
Beakcheol Jang ◽  
Taekyoung Kwon ◽  
...  

Author(s):  
Muhammad Ibrar ◽  
Owais Khan

Purpose: The aim of this study is to investigate how to employee performance impact on reward in private school. The study also aims to show how to employee improve the performance has in reward system. Design/methodology/approach: Questionnaire is used as instrument and 100 questionnaires were used to check the respondent’s opinion. Findings: descriptive analysis, correlation and multiple regression tests were applied for data analysis. Conclution: Study concludes that there is positive relationship between rewards (extrinsic and intrinsic) and employee’s job performance. Most of the organizations implement rewards system to increase the job performance and job satisfaction. Originality/value: By reviewing the different finding that the reward and employee performance. the contribution of this paper is to look at how to finding the effective solution of employee performance will be in reward system inter-organisational and school. Study of paper: The study of this paper is exploratry is qualitative study of research.


2021 ◽  
Vol 11 (15) ◽  
pp. 6794
Author(s):  
Cornelia A. Győrödi ◽  
Diana V. Dumşe-Burescu ◽  
Robert Ş. Győrödi ◽  
Doina R. Zmaranda ◽  
Livia Bandici ◽  
...  

Databases are an important part of today’s applications where large amounts of data need to be stored, processed, and accessed quickly. One of the important criteria when choosing to use a database technology is its data processing performance. In this paper, some methods for optimizing the database structure and queries were applied on two popular open-source database management systems: MySQL as a relational DBMS, and document-based MySQL as a non-relational DBMS. The main objective of this paper was to conduct a comparative analysis of the impact that the proposed optimization methods have on each specific DBMS when carrying out CRUD (CREATE, READ, UPDATE, DELETE) requests. To perform the analysis and performance evaluation of CRUD operations for different amounts of data, a case study testing architecture based on Java was developed and used to show how the databases’ proposed optimization methods can influence the performance of the application, and to highlight the differences in response time and complexity. The results obtained show the degree to which the proposed optimization methods contributed to the application’s performance improvement in the case of both databases; based on these, a detailed analysis and several conclusions are presented to support a decision for choosing a specific approach.


2011 ◽  
Vol 42 (4) ◽  
pp. 419-436 ◽  
Author(s):  
Tobin Im ◽  
Seung Jong Lee

This article aims to examine the relationship between internal management performance and citizen satisfaction in the public sector. Top-down style evaluations emphasize improving the internal managerial performance of an agency, but few studies examine the relationship between the internal management of a governmental agency and citizen satisfaction. Our case study of government management in Seoul city attempts to address this deficiency by using data from the Seoul Service Index. Our results demonstrate a positive correlation between management performance and citizen satisfaction. We also found that the level of citizen satisfaction that helped trigger improvements in management practices varies according to the type of service. The implication of these results is that the managers of public organizations who wish to improve citizens’ satisfaction with the particular service offered by their organization must seek to strategically reform their bureaucracy’s internal management.


2010 ◽  
Vol 33 (9) ◽  
pp. 924-939 ◽  
Author(s):  
Bjoern Muenstermann ◽  
Alexander von Stetten ◽  
Sven Laumer ◽  
Andreas Eckhardt

2018 ◽  
Vol 140 (6) ◽  
Author(s):  
Guanglu Zhang ◽  
Daniel A. McAdams ◽  
Venkatesh Shankar ◽  
Milad Mohammadi Darani

During the development planning of a new product, designers and entrepreneurs rely on the prediction of product performance to make business investment and design strategy decisions. Moore's law and the logistic S-curve model help make such predictions but suffer several drawbacks. In this paper, Lotka–Volterra equations are used to describe the interaction between a product (system technology) and the components and elements (component technologies) that are combined to form the product. The equations are simplified by a relationship table and maturation evaluation in a two-step process. The performance data of the system and its components over time are modeled by simplified Lotka–Volterra equations. The methods developed here allow designers, entrepreneurs, and policy makers to predict the performances of a product and its components quantitatively using the simplified Lotka–Volterra equations. The methods also shed light on the extent of performance impact from a specific module (component technology) on a product (system technology), which is valuable for identifying the key features of a product and for making outsourcing decisions. Smartphones are used as an example to demonstrate the two-step simplification process. The Lotka–Volterra model of technology evolution is validated by a case study of passenger airplanes and turbofan aero-engines. The case study shows that the data fitting and predictive performances of Lotka–Volterra equations exceed those of extant models.


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