International Journal of Information Technology and Decision Making (INT J INF TECH DECIS )

Publisher: World Scientific Publishing

Description

  • Impact factor
    1.31
    Show impact factor history
     
    Impact factor
  • 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 can archive a post-print version
  • Conditions
    • On personal website or institutional repository
    • Publisher's version/PDF cannot be used
    • Set statement to accompany preprint and postprint - see policy
  • Classification
    ​ green

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: The shot planning of a cue after it collides with an object ball determines a player's success in a billiard game. This paper proposes three novel gaming strategies to investigate the effect of cue shots planning on gaming performance. The first algorithm considers the nearest pocket for every selected target object ball, seeking optimal post collision positions. The second algorithm considers all pocket and target object ball combinations during both the pre- and post-collision optimal shot selection processes. The third algorithm considers a multi-objective optimization process for optimal shot planning control. The simulations are conducted based on a collision model considering the restitution effects. An augmented reality training facility is devised to guide users in both aiming and cue repositioning control in a real-world billiard game. Experimental results not only prove the reliability of our training device in selecting a proper shot sequence using the all-pocket optimal shot planning algorithm, but it also proves the consistency with the restitution theory.
    International Journal of Information Technology and Decision Making 05/2014; 13(03).
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    ABSTRACT: This paper examines the extent of end-user satisfaction on the service delivery process by the Royal Malaysian Customs (RMC) as the agency moves toward implementing electronic government (e-government) initiatives. The RMC has in fact been identified as one of the prominent and technology-pioneering government agencies in the country and therefore suitable for delivering electronic public services. Data were collected in mid-2009 from two types of customers, i.e., internal (Customs officers) and external (forwarding agents, importers, and bonded warehouse licensees) who use the Customs Information Systems (CIS) C8 form for transshipment of goods. Overall, the findings suggest that both types of customers are either indecisive and/or doubtful with the performance of the CIS. These findings are then extended to the broader context of information technology. It is of paramount importance that the RMC takes appropriate measures to satisfy both its internal and external customers by provision of improving its service delivery process through its CIS to produce desirable results.
    International Journal of Information Technology and Decision Making 05/2014; 13(03).
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    ABSTRACT: A current modeling framework for disturbance in manufacturing systems (MS) is given by concepts like discrete-event systems, stochastic fluid models and infinitesimal disturbance analysis. The goal of modeling is to achieve control and structural and functional optimization of MS. Objective functions of these optimization models are focused on quantities which reflect the level of reliability, the level of manufactured products, the quality of products or the impact on the environment of MS with disturbances. These models do not allow a dynamic evaluation of consequences of the disturbances which appears in the operation of MS machines and also do not allow an evaluation of the evolution in time of disturbance consequence indicators. Disturbances in technological lines of MS represent local bottlenecks of production with severe economic consequences in what regards production time losses. Good estimation of disturbances dynamics can be very helpful to both technological line designers, who can optimize their projects and production managers who can minimize their losses. Our model allows a dynamic evaluation of consequences of some disturbance of machine operation in MS, using indicators based on time, energy and costs. A MATLAB software package was developed for tests.
    International Journal of Information Technology and Decision Making 05/2014; 13(03).
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    ABSTRACT: Since business houses are generally global, the required data for their corporate decisions are spread over multiple branches at different regions. In such circumstances, local pattern analysis-based global pattern discovery has become an efficient strategy for mining their multiple data sources. The traditional support-confidence framework alone is not enough for assessing the interestingness of synthesized global association rules. In this context, numerous interestingness measures have been developed in the past to meet various situations. Depending on the requirement, local branches and the central head may choose desired interestingness metric for evaluating local frequent-itemsets and global association rules, respectively. In this paper, we present a generalized synthesis procedure for synthesizing global association rules, based on any interestingness metric, from the mined local patterns forwarded by multiple data sources. We have also shown that the synthesized metric values are quite close to the targeted mono-mining results. Examples and experimental studies establish the validity of our proposal.
    International Journal of Information Technology and Decision Making 05/2014; 13(03).
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    ABSTRACT: The purchasing behavior of cloud terminals is increasingly shaped by the emerging cloud services. Rather than its hardware configuration, performance of cloud intelligent terminals such as the Chromebook is more and more dependent on the cloud service capability. However, it remains unknown what factors will drive user's acceptance and purchase of these cloud terminals. Using the Chromebook and MacBook as two representative products, this study models user's acceptance and purchasing behavior of cloud terminals and examines multiple factors driving the consumer's purchasing decision from the perspective of functional and symbolic values. The results emphasize the importance of symbolic values and cost, and propose that symbolic values of different cloud terminals have different effects on consumers' acceptance and purchase. It has important implications for companies to design and sell cloud terminals based on user's acceptance and purchase intentions.
    International Journal of Information Technology and Decision Making 05/2014; 13(03).
  • [Show abstract] [Hide abstract]
    ABSTRACT: Rumors greatly impact consumers' attitudes and purchasing intention. Rumor spreading can disrupt supply chain demand, particularly in today's Internet age. We propose a mathematical model for the quantitative analysis of demand disruption caused by rumor spreading based on the susceptible-infective-isolated-immune (SI2I) rumor spreading model, which extends the susceptible-infective-recovered (SIR) rumor spreading model by dividing stiflers into isolators and immunes. Both groups represent individuals who do not propagate a rumor, but the former believes the rumor while the latter does not. From the firms' perspective, only ignorants and immunes will still purchase their products and services after a rumor has spread. Hence, the influence of rumors on demand can be quantitatively reflected by the proportion of ignorants and immunes in the population. This study offers a new method for company managers to predict the variation trend of demand and estimate demand loss when a firm is attacked by rumors.
    International Journal of Information Technology and Decision Making 05/2014; 13(03).
  • [Show abstract] [Hide abstract]
    ABSTRACT: There is a growing interest in electronic auctions. Many researchers consider a single-attribute, although auctions are multi-attribute in nature in practice. Addressing multiple attributes increases the difficulty of the problem substantially. We develop an evolutionary algorithm (EA) for multi-attribute multi-item reverse auctions. We try to generate the whole Pareto front using the EA. We also develop heuristic procedures to find several good initial solutions and insert those in the initial population of the EA. We test the EA on a number of randomly generated problems and report our findings.
    International Journal of Information Technology and Decision Making 05/2014; 13(03).
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    ABSTRACT: Using the Agent-based Computational Finance (ACF) method, we build an artificial stock market with heterogeneous adaptive investors and investigate the evolutionary and interacting relationship between rational investors and irrational investors. We find that with strategy switching, there is a symbiosis among the three kinds of investors in the ACF experiments, although the rational investors are often dominant in the market. And our main findings are robust with agents' scale. When the initial values change, the market ecology achieves new equilibrium.
    International Journal of Information Technology and Decision Making 05/2014; 13(03).
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    ABSTRACT: The rapid growth of the World Wide Web has resulted in intricate Web sites, demanding enhanced user skills to find the required information and more sophisticated tools that are able to generate apt recommendations. Markov Chains have been widely used to generate next-page recommendations; however, accuracy of such models is limited. Herein, we propose the novel Semantic Variable Length Markov Chain Model (SVLMC) that combines the fields of Web Usage Mining and Semantic Web by enriching the Markov transition probability matrix with rich semantic information extracted from Web pages. We show that the method is able to enhance the prediction accuracy relatively to usage-based higher order Markov models and to semantic higher order Markov models based on ontology of concepts. In addition, the proposed model is able to handle the problem of ambiguous predictions. An extensive experimental evaluation was conducted on two real-world data sets and on one partially generated data set. The results show that the proposed model is able to achieve 15–20% better accuracy than the usage-based Markov model, 8–15% better than the semantic ontology Markov model and 7–12% better than semantic-pruned Selective Markov Model. In summary, the SVLMC is the first work proposing the integration of a rich set of detailed semantic information into higher order Web usage Markov models and experimental results reveal that the inclusion of detailed semantic data enhances the prediction ability of Markov models.
    International Journal of Information Technology and Decision Making 04/2014; 13.
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    ABSTRACT: We study the effects of considering different criteria simultaneously on portfolio optimization. Using a single-period optimization setting, we use various combinations of expected return, variance, liquidity and Conditional Value at Risk criteria. With stocks from Borsa Istanbul, we make computational studies to show the effects of these criteria on objective and decision spaces. We also consider cardinality and weight constraints and study their effects on the results. In general, we observe that considering alternative criteria results in enlarged regions in the efficient frontier that may be of interest to the decision maker. We discuss the results of our experiments and provide insights.
    International Journal of Information Technology and Decision Making 03/2014; 13(02).
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    ABSTRACT: With the increasing popularity of online shopping services, e-stores are experiencing ever more fierce competition. Thus, it is imperative that managers take steps to improve their services and ensure customer loyalty, and this can only be done by understanding their customers' needs and developing appropriate marketing strategies. Therefore, the aim of this paper is to propose a new hybrid gray relational model to enhance strategies by adopting innovation and creativity to achieve the aspiration level in each dimension/criterion of satisfying/promoting human life and convenient service. This new hybrid gray relational model, which can improve the performance of each criteria to close the aspiration level of each reference point, will address interdependent problems among dimensions/criteria in the real world and provide feedback. More specifically, a DANP (DEMATEL-based ANP) and a gray relational assessment model will be combined to produce an influential network relationship map (INRM), showing the influential weights and gaps between the actual performance and the level of aspiration. As such, the contribution made by this research will be to produce the best strategies for e-store managers to improve their business model in order to meet customers' needs, encourage them to repurchase, and to enable stores to provide the most effective and efficient service for their customers.
    International Journal of Information Technology and Decision Making 03/2014; 13(02).
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    ABSTRACT: Multi-criteria decision-making (MCDM) is one of the most widely used decision methodologies. Because every kind of MCDM approach has unique strengths and weaknesses, it is difficult to determine which kind of MCDM approach is best suited to a specific problem. Therefore, a new decision-making method is proposed herein, based on linguistic information and intersection concepts; it is called the linguistic intersection method (LIM). Notably, the linguistic variables are more suited to expressing the opinion of each decision maker. There are four MCDM methods: TOPSIS, ELECTRE, PROMETHEE and VIKOR which are included in the LIM. First, each MCDM approach is used to determine the ranking order of all alternatives in accordance with the linguistic evaluations of decision makers. Then, the intersection set is determined with regard to the better alternatives of all methods. Third, the final ranking order of alternatives in the intersection set can be determined by the proposed method. Lastly, an example is given to describe the procedure of the proposed method. In order to verify the effectiveness of the proposed method, a simulation test is provided to compare the LIM with the linguistic MCDM method. According to the comparison results, the proposed method is more stable in determining the ranking order of all decision alternatives.
    International Journal of Information Technology and Decision Making 03/2014; 13(02).
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    ABSTRACT: We propose a pricing model for convertible bonds based on the utility-indifference method and get access to the empirical results by use of Information Technology. By using the stochastic control theory, the general expression of utility indifference price on convertible bonds is obtained under the CIR interest rate model. Furthermore, using the proposed theoretical model, we present an empirical pricing study of China's market, using three convertible bonds and more than 70 months of daily market prices. The parameters value is estimated by the maximum likelihood method, and the prices of convertible bonds are simulated by the Monte Carlo approach. The empirical results indicate that the theoretical prices are higher than the actual market prices 0.24–4.58%, and the utility indifference prices are better than the Black–Scholes (BS) prices.
    International Journal of Information Technology and Decision Making 03/2014; 13(02).
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    ABSTRACT: Social bookmarking Websites are popular nowadays for they provide platforms that are easy and clear to browse and organize Web pages. Users can add tags on Web pages to allow easy comprehension and retrieval of Web pages. However, tag spams could also be added to promote the opportunity of being referenced of a Web page, which is troublesome to users for accessing uninterested Web pages. In this work, we proposed a scheme to automatically detect such tag spams using a proposed text mining approach based on self-organizing map (SOM) model. We used SOM to find the associations among Web pages as well as tags. Such associations were then used to discover the relationships between Web pages and tags. Tag spams can then be detected according to such relationships. Experiments were conducted on a set of Web pages collected from a social bookmarking site and obtained promising result.
    International Journal of Information Technology and Decision Making 03/2014; 13(2):387-406.
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    ABSTRACT: Community source development has emerged as a new way of developing enterprise applications, leading to a unique type of open source development involving collaborative investment decisions by multiple institutional partners. A critical research question is what motivates partnering institutions to invest jointly in community source development, knowing that the result will become open source. We study this research question by investigating cooperative behaviors among partner institutions involved in community source such as Kuali. We apply option pricing to model cooperative investment decisions under uncertainty with the Black–Scholes (BS) model in comparison with the net present value (NPV) approach. Our analytical results reveal that several institutional characteristics such as size, financial power, and IT capability affect how institutions make cooperative decisions in community source development regardless if either the BS model or the NPV approach is used as the utility function. These business insights help deepen the understanding of the emerging community source phenomenon.
    International Journal of Information Technology and Decision Making 01/2014; 13(01).
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    ABSTRACT: Trust is not only one key ingredient of prosperous organizations and societies, but also an essential factor in decision-making processes. And when it comes to trust, the latest advances in computing sciences area are increasingly supporting the related processes by deployment of so-called trust management systems. These systems are slowly advancing from their early stages of evolution toward more sophisticated and already operationally deployable solutions. As there seems to be no "Swiss-army knife" like methodology for trust management, it is reasonable to assume that not only one, but a few of them will be deployed in the future, depending on their basic principles of functioning,purposes and contexts of use. Therefore there still exists a gap in this area with unaddressed issues where humans (or humans-like agents) would be in focus. Quality Assessment Dynamics, QAD, which is presented in this paper, is taking these issues into account. It is based on operands and operators that model human ways of reasoning as described in many natural languages. Further, it is a formal system and therefore enabled for deployment in computing environments. This way QAD complements existing trust management methods and provides additional means for decision making through deployment in simulations and in trust management engines, while being understandable to ordinary users without requiring sophisticated expert knowledge.
    International Journal of Information Technology and Decision Making 01/2014; 13(01).
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    ABSTRACT: Real estate brokerage services have developed from individual stores into a chain-store system, and the location of those stores plays a key role in their operation. The purpose of this study is to define and quantify the factors that affect the selection of a site for real estate brokerage services. Mutual relationships between the factors and sub-factors for site selection and their relative weights are also discussed to provide a complete set of decision evaluation models, then how to reduce the gaps to achieve the aspiration level. This research uses a new hybrid Multiple Criteria Decision Making (MCDM) model, combining the Decision Making Trial and Evaluation Laboratory (DEMATEL), DEMATEL-based Analytic Network Process (DANP), and VIšekriterijumsko KOmpromisno Rangiranje (VIKOR) methods to solve these problems. The DEMATEL technique is used to build an influential network relations map, and DANP is expected to obtain the influential weights using the basic concept of Analytic Network Process (ANP), to solve the dependence and feedback problems in the real world. Then, the VIKOR method is used to integrate the performance gaps from criteria to dimensions and overall. As the result shows, there is an interactive and auto-feedback relationship among the four dimensions. Among the 11 evaluation criteria, the income and consumption level is the most important consideration for selection of the site. The number and density of population ranks second in this regard. This study uses VIKOR method for selection of the best site, among three potential sites. Site A is closest to the aspiration level. Site A is better in this regard than the other two sites. The study develops and provides a decision-making system for the site selection in the real estate brokerage services.
    International Journal of Information Technology and Decision Making 01/2014; 13(01).

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