International Journal of Information Technology and Decision Making Impact Factor & Information

Publisher: World Scientific Publishing

Journal description

Current impact factor: 1.89

Impact Factor Rankings

2015 Impact Factor Available summer 2015
2013 / 2014 Impact Factor 1.89
2010 Impact Factor 3.139
2009 Impact Factor 1.312
2008 Impact Factor 0.953
2007 Impact Factor 0.718
2006 Impact Factor 0.818

Impact factor over time

Impact factor

Additional details

5-year impact 1.38
Cited half-life 3.60
Immediacy index 0.13
Eigenfactor 0.00
Article influence 0.18
Website International Journal of Information Technology and Decision Making website
Other titles International journal of information technology & decision making (Online)
ISSN 0219-6220
OCLC 53924823
Material type Document, Periodical, Internet resource
Document type Internet Resource, Computer File, Journal / Magazine / Newspaper

Publisher details

World Scientific Publishing

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author cannot archive a post-print version
  • Restrictions
    • 12 months embargo
  • Conditions
    • Author's pre-print on any website or open access repository
    • Author's post-print on author's personal website, institutional repository, subject repository or funding agency designated repository
    • Publisher's version/PDF cannot be used
    • Set statement to accompany pre-print and authors post-print - see policy
    • Must link to publisher version with DOI
  • Classification
    ​ yellow

Publications in this journal

  • International Journal of Information Technology and Decision Making 08/2015; DOI:10.1142/S0219622015500273
  • International Journal of Information Technology and Decision Making 08/2015; DOI:10.1142/S0219622015500157
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    ABSTRACT: Project selection can be a real problem of the multi-criteria group decision making if a group of decision makers express their preferences depending on the nature of the alternatives and different criteria with respect to their knowledge about them. The purpose of the project selection process is to analyze project viability and to approve or reject project proposals based on established criteria. Such decisions are often complex, because they require the identification, consideration and analysis of many tangible and intangible factors. This paper presents a multi-criteria group decision-making approach for project selection problem in the type-2 fuzzy environment. The proposed method is an extended version of Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method with interval type-2 fuzzy numbers; it is called type-2 fuzzy VIKOR (T2F-VIKOR). A stepwise procedure is used for ranking and evaluating the alternatives in the developed method, and the best solution is selected considering both the beneficial and nonbeneficial criteria. An illustrative example is presented to show the applicability of the proposed approach in the project selection problems, and the results are analyzed. The results are compared with some existing methods to show the validity of the extended method. We also utilize six sets of criteria weights for analyzing the stability of the proposed method. These analyses show that the obtained results of the proposed method are relatively consistent with other methods and have good stability in different criteria weights.
    International Journal of Information Technology and Decision Making 08/2015; DOI:10.1142/S0219622015500212
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    ABSTRACT: In the last years, a set of bio-inspired metaheuristics has proved their efficiencies in combinational and continues optimization areas. This paper intends to hybrid a discrete version of Bat Algorithm (BA) with Generalized Evolutionary Walk Algorithm (GEWA) to solve the mono-processors two stages Hybrid Flow Shop scheduling. The authors compare the modified bat algorithm with the original one, with Particle Swarm Optimization (PSO) and with others results taken from literature. Computational results on a standard two-stage hybrid flow shop benchmark of 70 cases, and about 1700 instances, indicate that the proposed algorithm finds the best makespan (Cmax) in a good processing time comparing to the original bat algorithm and other algorithms.
    International Journal of Information Technology and Decision Making 07/2015; 7(3):1-16. DOI:10.4018/IJDSST.2015070101
  • International Journal of Information Technology and Decision Making 05/2015; DOI:10.1142/S0219622015500133
  • International Journal of Information Technology and Decision Making 05/2015; DOI:10.1142/S0219622015500145
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    ABSTRACT: Corporations would utilize advanced information technologies for generating corporate social responsibility (CSR) reports and communicating with their stakeholders. However, corporations often could not determine whether their CSR websites are capable of effective communication with the stakeholders. The purpose of this study would be to analyze websites of benchmark companies for establishing an evaluation model to be a reference for CSR website design. Information from expert interviews carried out in this study underwent DEMATEL method for analyzing the mutual relationships between the quality criteria and dimensions of CSR websites. DANP was then used to calculate the weight of each criterion. Finally, we would make use VIKOR method to prioritize the performance CSR website satisfaction. The following provides the recommended improvement priorities according to results of the expert interviews: service quality (C) followed by information quality (B) followed by technical quality (A).
    International Journal of Information Technology and Decision Making 04/2015; 14(03):1-28. DOI:10.1142/S0219622015500121
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    ABSTRACT: The objective of this paper is to provide a more comprehensive efficiency measure to estimate the performance of OECD and non-OECD countries. A Russell directional distance function that appropriately credits the decision-making unit not only for increase in desirable outputs but also for the decrease of undesirable outputs is derived from the proposed weighted Russell directional distance model. The method was applied to a panel of 116 countries from 1992 to 2010. This framework also decomposes the comprehensive efficiency measure into individual input/output components' inefficiency scores that are useful for policy making. The results reveal that the OECD countries perform better than the non-OECD countries in overall, goods, labor and capital efficiencies, but worse in bad and energy efficiencies.
    International Journal of Information Technology and Decision Making 03/2015; 14(03):150310185334005. DOI:10.1142/S0219622015500091
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    ABSTRACT: This paper provides a systematic study of the technologies and algorithms associated with the implementation of multiobjective evolutionary algorithms (MOEAs) for the solution of the portfolio optimization problem. Based on the examination of the state-of-the art we provide the best practices for dealing with the complexities of the constrained portfolio optimization problem (CPOP). In particular, rigorous algorithmic and technical treatment is provided for the efficient incorporation of a wide range of real-world constraints into the MOEAs. Moreover, we address special configuration issues related to the application of MOEAs for solving the CPOP. Finally, by examining the state-of-the-art we identify the most appropriate performance metrics for the evaluation of the relevant results from the implementation of the MOEAs to the solution of the CPOP.
    International Journal of Information Technology and Decision Making 03/2015; 14(03):1-30. DOI:10.1142/S0219622015300013
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    ABSTRACT: Our paper develops a decision-making model of social shopping in franchising to understand impacts of various collaboration strategies on profits of a social intermediary, a franchisor, and a franchisee. Three decision variables are considered to make a daily deal promotion in a manner that results in optimal profits: the social intermediary's advertising expense, the franchisee's service quality expense, and the franchisor's financial assistance to the franchisee. The analysis shows that while system-wide collaboration generates more total profit for all three parties than the profits obtained when they seek to optimize their individual profit functions, the advantage of system-wide collaboration may depend on the parameter values of the profit function and collaboration cost. Since social shopping is just in the early stage of the business model development, most franchises and social intermediaries have not formed concrete collaboration strategies. Our model provides a methodology for different collaborative needs of the franchises and social intermediaries.
    International Journal of Information Technology and Decision Making 03/2015; 14(02):395-420. DOI:10.1142/S0219622014500898
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    ABSTRACT: The advancement of network technology and the popularization of the Internet lead to increased interest in information recommendation. This paper proposes a group recommendation system that takes the preferences of group users in mobile environment and applies the system to recommendation of restaurants. The proposed system recommends the restaurants by considering various preferences of multiple users. To cope with the uncertainty in mobile environment, we exploit Bayesian network, which provides reliable performance and models individual user's preference. Also, Analytical Hierarchy Process of multi-criteria decision-making method is used to estimate the group users' preference from individual users' preferences. Experiments in 10 different situations provide a comparison of the proposed method with random recommendation, simple rule-based recommendation and neural network recommendation, and confirm that the proposed method is useful with the subjective test.
    International Journal of Information Technology and Decision Making 03/2015; 14(02):317-338. DOI:10.1142/S0219622015500017
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    ABSTRACT: The main goal of our research is to analyze users' acceptance of mobile payment systems, considering the population's widespread use of mobile devices. In order to explain acceptance, we have added trust and perceived risk to the traditional variables. To this end, we have carried out a study through an online survey to a national panel of Internet users. The results of this survey check the implications considered on the basis of the Technological Acceptance Model, the Theory of Reasoned Action and the trust building principles for a given system. The conclusions and implications for management provide alternatives for companies to promote this new business by means of the new technical developments.
    International Journal of Information Technology and Decision Making 03/2015; 14(02):421-449. DOI:10.1142/S0219622015500078
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    ABSTRACT: This paper presents constructive methods of factor neural network (FNN) and their applications to the study of intelligent computation. Liu Zengliang is the first to apply this theory it to intelligent computation, it allows describing numerically and simulating such intelligence problems as knowledge representation, fuzzy reasoning and intelligent learning. It provides a unified description framework for logical and visual (intelligent) thinking. This theory makes significant progress in exhibiting the intelligence science theorem, the academic view and the research approach of FNN. It motivates the development of intelligence science and other related fields. It also helps the development of the nation's economy.
    International Journal of Information Technology and Decision Making 03/2015; 14(02):239-251. DOI:10.1142/S0219622015500042
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    ABSTRACT: One important issue of component-based software development is the minimization of the development cost and the maximization of the system reliability while satisfying functional requirements. There are numerous publications on this issue based on metaheuristic techniques, but there are two deficiencies: too tough to evaluate the performance of algorithms and fix parameters in the real-world application. To address this problem, a three phased algorithm is proposed by the Wu et al. [International Journal of Information Technology & Decision Making5 (2011) 811–841]. This paper describes computational experience in solving the problems using the metaheuristics and the proposed algorithm. The results indicate the efficiency of the proposed algorithms in terms of overall nondominated vector generation, well converged set of solutions, and diversity of solutions. Computational results and simulation analysis further assist a decision maker to fix optimal parameters of metaheuristics including the number of iteration, crossover rate, and mutation rate, and explore hints in using metaheuristics for the problem.
    International Journal of Information Technology and Decision Making 03/2015; 14(02):375-394. DOI:10.1142/S0219622015500066
  • International Journal of Information Technology and Decision Making 03/2015; 14(2):217-220. DOI:10.1142/S0219622015020034