Welcome to American Journal of Information Systems

American Journal of Information Systems is a peer-reviewed, open access journal that provides rapid publication of articles in all areas of information systems. The goal of this journal is to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in different areas of information systems.

ISSN (Print): 2374-1953

ISSN (Online): 2374-1988

Editor-in-Chief: Sergii Kavun

Website: http://www.sciepub.com/journal/AJIS



Computer System Users are like Fish

1Drexel University, Philadelphia, PA

American Journal of Information Systems. 2014, 2(3), 49-51
doi: 10.12691/ajis-2-3-1
Copyright © 2014 Science and Education Publishing

Cite this paper:
Ralph M. DeFrangesco. Computer System Users are like Fish. American Journal of Information Systems. 2014; 2(3):49-51. doi: 10.12691/ajis-2-3-1.

Correspondence to: Ralph  M. DeFrangesco, Drexel University, Philadelphia, PA. Email: rd337@drexel.edu


This paper has looked at the habits of computer users when faced with a slow system and has drawn a direct correlation between how they react and fish population dynamics. A survey has been presented that supports the proposed theory.



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Estimating Plans along with Cost in Multiple Query Processing Environments by Applying Particle Swarm Optimization Technique

1Deaprtment of Computer Sc.&Engg., Ajay Binay Institute of Technology, Cuttack

2S.O.A. University, Bhubaneswar

3Government College of Engineering, Bhawanipatna

American Journal of Information Systems. 2014, 2(3), 52-55
doi: 10.12691/ajis-2-3-2
Copyright © 2014 Science and Education Publishing

Cite this paper:
Sambit Kumar Mishra, Srikanta Pattnaik, Dulu patnaik. Estimating Plans along with Cost in Multiple Query Processing Environments by Applying Particle Swarm Optimization Technique. American Journal of Information Systems. 2014; 2(3):52-55. doi: 10.12691/ajis-2-3-2.

Correspondence to: Sambit  Kumar Mishra, Deaprtment of Computer Sc.&Engg., Ajay Binay Institute of Technology, Cuttack. Email: sambit_pr@rediffmail.com


The Main idea of multiple query processing is to optimize a set of queries together and execute the common operations once. Major tasks in multiple query processing are common operation or expression identification and global execution plan construction. Query plans are generally derived from registered continuous queries. They are composed of operators, which perform the actual data processing, queries which buffer data as it moves between operators to hold state of operators. The complex part is to decompose queries and query plans and rearrange the sub queries and query plans on the network. The main functions to achieve an optimal query distribution are usually minimizing network usage and minimizing response time of queries. While dealing with query distribution problem, the challenges like modeling topology of the network, decomposing queries into some sub queries and sub query placement may be occurred. Operators are the basic data processing units in a query plan. An operator takes one or more streams as input and produces a stream as output. As in the traditional database management system, a plan for query connects a set of operators in a tree. The output of a child operator forms an input of its parent operator. In this paper it is aimed to retrieve the cost of query plans as well as cost of particles of swarm in multiple query processing environments by applying particle swarm optimization techniques.



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Application of IS-Balanced Scorecard in Performance Measurement of e-Government Services in Kenya

1School of Computing and Informatics, University of Nairobi, Nairobi, Kenya

American Journal of Information Systems. 2015, 3(1), 1-14
doi: 10.12691/ajis-3-1-1
Copyright © 2015 Science and Education Publishing

Cite this paper:
Grace Leah AKINYI, Christopher A. MOTURI. Application of IS-Balanced Scorecard in Performance Measurement of e-Government Services in Kenya. American Journal of Information Systems. 2015; 3(1):1-14. doi: 10.12691/ajis-3-1-1.

Correspondence to: Grace  Leah AKINYI, School of Computing and Informatics, University of Nairobi, Nairobi, Kenya. Email: ograceleah@gmail.com


This research applied the Balanced Scorecard concept to audit performance of e-Government services at Kenya Revenue Authority. An analysis was made on how KRA developed performance measurement data. A systematic study of the existing performance tools was carried out in establishing the basis for conceptualizing the Information Systems Balanced Scorecard. Various dimensions of e-Government services were measured and a tool was proposed that would assess the quality dimensions of the e-Government services from a management perspective. The proposed tool was validated using i-Tax service of KRA. We list the indicators and metrics to be used to measure the performance of e-Government services. This research suggests an adoption of an IS-BSC which measures and evaluates e-Government services from four perspectives: business value, user orientation, internal process and future readiness. The research concludes with recommendations to help governments develop a performance measurement mechanism to assess the impact of investing in e-Government. Considering that performance measurement is a prerequisite to e-Government efforts to audit services and assure citizen of government’s accountability, the findings will be beneficial to ministries adopting e-Government initiatives as they will gain an understanding about the mixed method of using metrics in IT governance balanced scorecard.



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