Document Type: Original Research Paper

Authors

1 Department of Computer ٍEngineering, Kerman Branch, Islamic Azad University, Kerman, Iran

2 Department of Computer Engineering, Kerman Branch, Islamic Azad University, Kerman, Iran

Abstract

E-readiness is one of the major prerequisites for effective implementation of e-government. For the correct implementation of e-government, it is needed to accurately assess the state of e-readiness in desired community. In this regard, there are models to assess, but the correct choice of model is one of the most important challenges in this area. The process of evaluating and selecting the appropriate options in the implementation of e-government due to the involvement of different groups of decision-makers, existence of interrelationships between technology and desired community as well as existing platforms is a complex process. In recent decades, with access to computational methods and powerful decision making systems selecting more accurate options, effective analysis of qualitative and quantitative characteristic and studying the interaction between them are provided. This article tries to examine the performance of e-readiness assessment models and multi criteria decision making methods and introduces the best selection of the e-readiness model for effective implementation of e-government. In order to reach this purpose, we introduced a layered architecture based on multi-criteria decision making methods and SWOT Analysis. The proposed layered architecture, reduces decision making errors and increases the accuracy in choosing the appropriate e-readiness assessment model.

Keywords

Main Subjects

[1] Bhuiyan, S., 2011, Modernizing Bangladesh public administration through e-governance: Benefits and challenges, Government Information Quarterly, 28, pp. 54-65.
[2] Foley, P., Alfonso, X., 2009, e-government and the transformation agenda, Public Administration, 87, pp. 371-396.
[3] Sarantis, D., Charalabidis, Y., Askounis, D., 2011, A goal-driven management framework for electronic government transformation projects implementation, Government Information Quarterly, 28, pp. 117-128.
[4] Mishra, A., Mishra, D., 2011, E-Government –Exploring the Different Dimensions of Challenges, Implementation, and Success Factors, The Data Base for Advances in Information Systems, 44, pp. 110-122.
[5] Mohammad, H., Almarabeh, T., AbuAli, A., 2009, E-government in Jordan, European Journal of Scientific Research, 35pp.188-197.
[6] Almarabeh, T., AbuAli, A., 2010, A General Framework for E-Government: Definition Maturity Challenges, Opportunities, and Success, European Journal of Scientific Research, 39, pp. 29-42
[7] Movahedi, M., Yaghoti,M., 2009, Provide a model for measuring e-readiness in small and mediumsized businesses in the nation's defense, Journal of New Economics and Business, 12, pp. 27-50.
[8] Tamizi, A., Akbari,M., 2004, Evaluation Criteria for ICT development, case study OIC countries, Tehran: Tehran University, Journal of Knowledge Management, 64, pp.216-231.
[9] Hosseinpour, A., Hajizadeh, F., Shariati, M., Karimi, M., 2013, E-Readiness Assessment and its models, Arabian Journal of Business and Management Review, 12, pp. 1-5.
[10] Sergey, S., Russia e-readiness assessment, Institute of Information Society, Moscow, 2004.http://prior. russia-gateway.ru/en/documents/readiness, May 2007.
[11] Shirvani, H, Baneshi, Z., 2009, E-readiness Assessment Municipality of Baharestan New Town in order to fulfill e-Municipality, Second International Conference of e-Municipality.
[12] Stanujkic, D., Dordevic, B., Dordevic, M., Comparative Analysis of Some Prominent MCDM Methoda: A Case of Ranking Serbian Banks, Serbian Journal of Management, 8, pp.213-241.
[13] Sharma, M., Moon, I., Bae, H., 2008, Analytic hierarchy process to assess and optimize distribution network, Applied Mathematics and Computation, 202, pp. 256-265.
[14] Tuzmen, S., and Sipahi, S., 2011, A multi-criteria factor evaluation model for gas station site selection, 2nd International Conference on Business and Economic Research Proceedings, pp. 601 -610.
[15] Saaty, T., a Vargas, L., 1996, Decision Making with The Analytic Network Process, Springer, USA.
[16] Dağdeviren, M., Yavuz, S., Kılınç, N., 2009, Weapon selection using the AHP and TOPSIS methods under fuzzy environment, Expert Systems with Applications, 36, pp. 8143-8151.
[17] Albayrak, E., and Erensal, Y., 2004, Using analytic hierarchy process (AHP) to improve human performance. An application of multiple criteria decision making problem, Journal of Intelligent Manufacturing, 15, pp. 491 -503.
[18] Wang, W., 2011, Analysis of the cumulative effect of pollution in the atmospheric environment management based on the method of ANP embedding into SWOT , International Conference on Remote Sensing, Environment and Transportation Engineering Proceedings, pp. 65-68.
[19] Saaty, T., 1980, The Analytic Hierarchy Process, McGraw-Hill, New York.
[20] Borajee, M., Yakchali, S., 2011, Using the AHP-ELECTRE III integrated method in a competitive profile matrix, International Conference on Financial Management and Economics, pp. 68-72.
[21] Hwang, C., Yoon, K., 1981, Multiple Attributes Decision Making Methods and Applications. Springer, Berlin Heidelberg.
[22] Nilashi, M., Bagherifard, K., Ibrahim, O., Janahmadi, N., Ebrahimi, L., Ranking Parameters on Quality of Online Shopping Websites Using Multi-Criteria Method, Research Journal of Applied Sciences, 4, pp. 4380-4396.
[23] Nilashi, M., Bagherifard, K., Ibrahim, O., Janahmadi, N., Alizadeh, H., 2012, Multi-criteria approach to the evaluation of Malaysian government portal, Journal of Theoretical and Applied Information Technology, 2, pp. 194-201
[24] Ahmadi, H., Salahshour, M., Nilashi, M., Ibrahim, O., Almaee, A., 2013, Ranking the Mirco Level Critical Factors of Electronic Medical Records Adoption Using TOPSIS Method, Health Informatics- An International Journal,4.pp.19-32.
[25] Kangas, J, Kurttila, M., Kajanus, M. and Kangas, A. (2003), Evaluating the management strategies of a forestland estate-the S-O-S approach, Journal of Environmental Management, Vol. 69, No. 4, pp.349-358.
[26] Pesonen, M., Kurttila, M., Kangas, J., Kajanus, M. and Heinonen, P., 2001, Assessing the priorities using A’WOT among resource management strategies at the Finnish forest and park service, Forest Science, Vol. 47, pp. 534-541.
[27] Kurttila, M., Pesonen, J., Kangas, M. and Kajanus, M. 2000, Utilizing the analytic hierarchy process in SWOT analysis- a hybrid method and its application to a forest-certification case , Forest Policy and Economics, Vol. 1, pp.41 -52.
[28] Yüksel, İ. and Dağdeviren, M. (2007), Using the analytic network process (ANP) in a SWOT analysis-A case study for a textile firm, Information Sciences, Vol. 177, No. 1 6, pp. 3364-3382.
[29] Kahraman, C., Demirel, N. Ç., Demirel and Ateş, N. Y. 2008, A SWOT-AHP application using fuzzy concept: E-Government in Turkey, Fuzzy Multi-Criteria Decision Making Book-Edited By Cengiz Kahraman, Springer Science-Business Media.
[30] GÖRENER, A., 2012, Comparing AHP and ANP: An Application of Strategic Decisions Making in a Manufacturing Company, 11, pp.194-208.
[31] Saeedi., N., Askari Masouleh, S., Mahdavi, H.R., Mousavian, I., 2012, Surveying the Role of Creativity and Innovation Strength on Iran’s Carpet Industry Compatibility, Journal of basic and applied scientific research, 12, PP: 12184-12191.
[32] Ardestani, A., Bazaei, G., Mahdavi, H., 2013, Formulating and Ranking Strategies by Fuzzy TOPSIS Technique, Case study: Noavaran Abri Company, Journal of Basic and AppliedScientific Research, 3, pp. 415-422.