Forthcoming articles

 


International Journal of Decision Support Systems

 

These articles have been peer-reviewed and accepted for publication in IJDSS, but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

 

Forthcoming articles must be purchased for the purposes of research, teaching and private study only. These articles can be cited using the expression "in press". For example: Smith, J. (in press). Article Title. Journal Title.

 

Articles marked with this shopping trolley icon are available for purchase - click on the icon to send an email request to purchase.

 

Articles marked with this Open Access icon are freely available and openly accessible to all without any restriction except the ones stated in their respective CC licenses.

 

Register for our alerting service, which notifies you by email when new issues of IJDSS are published online.

 

We also offer RSS feeds which provide timely updates of tables of contents, newly published articles and calls for papers.

 

International Journal of Decision Support Systems (8 papers in press)

 

Regular Issues

 

  • A tradeoff analysis between socio-economic efficiency and environmental performance of irrigated agriculture   Order a copy of this article
    by Panagiotis Mitropoulos, Konstantinos Vasileiou, Ioannis Mitropoulos 
    Abstract: European irrigated agriculture is very important in economic, social and environmental terms. A linear programming model that simulates the farmers behaviour in cropping selection was used to evaluate the impact on farm performance of intervention measures, namely i) volumetric pricing and ii) abstraction quota restrictions that might be used to ration water and/or increase water use efficiency. The consequences of these policy mechanisms were evaluated, using two conflicting objectives. The first objective enabled to maximize of the farmers' profit, while the second one represents the regulators perspective, to ration water more efficiently, by the minimizing the irrigated water use. The tradeoff analysis between the socio-economic efficiency and the environmental performance revealed the fragility of the farming systems in water scarcity. The results highlight the need for a more careful balance of water conservation and rural development objectives. The approach is illustrated using a case study on irrigated agriculture in East Midlands of England.
    Keywords: Bi-objective model; Agricultural planning; Sustainability; Irrigation; Licensing; Water Pricing.

Special Issue on: Management and Decision Making in Transport

  • Maritime ports economic effect on regional development: Estimations for the major maritime ports in Greece   Order a copy of this article
    by Maria Sartzetaki, Dimitrios Dimitriou, John Mourmouris 
    Abstract: Transport infrastructure assets are key components of the national asset portfolio. The quality of transport infrastructure is a key determinant of performance in the transport sector and development of transport infrastructure supports economic growth. Countries spend considerable amounts of money each year to build, maintain and improve their transport infrastructure in response to the growing passenger and freight mobility needs. The international business environment of ports and logistics industry has been changed in the last few decades. The increase of cargo volume created new requirements, and enhanced ports as important gateways of international trade, and major accelerators of national economic development. For this purpose interest in port commercialization is increasing, as governments look for ways to enhance their port efficiency, productivity, competitiveness, and financially viability. Therefore, decisions on commercialization of ports should be based on quantitative data and analysis of the impacts in the national economy. This paper deals with the estimation of the economic impact in national scale caused by ports development. The methodology provides the quantitative analysis framework and the modelling to estimate the economic impact in both: a) macro-level in terms of economic growth; and b) micro-level in terms of business sector distribution, based on Input Output analysis. The numerical application is the ports in the nation of Greece. The application results highlight key messages to decision makers and stakeholders regarding the economic recovering for an economy suffer by recession.
    Keywords: Maritime ports;Economic impact;Regional development;Transport infrastructure assets;Decision on port investment;Greek major ports.

  • Quantitative Financial Analysis for the Estimation of Road Accident Costs   Order a copy of this article
    by Thomas Poufinas, Dimitrios Dimitriou 
    Abstract: The purpose of this paper is to study the effect of traffic accidents in the income generating capacity of the affected individuals. Such an event has also an impact on their contribution back to the society and the state. Therefore the value and/ or cost of a human life in case of a traffic accident need to be evaluated. The problem we address and purely in this term we use the words value and cost - is the quantification in monetary terms of the loss of a human life. We try to quantify the involved cost due to traffic accidents to the affected citizens, emphasizing initially on the loss of life (death). To estimate the cost we need to know what would have been the income generating capacity of every individual for the remaining of his or her life if the incident had not happened. We find the present value of such income, adjusted for the probability of such an event (death) happening. This resembles to the calculation of a pure insurance premium. We employ insurance-based methods to mimic the calculation of the burning cost of an insurance policy for the case of a death due to traffic accident so as to estimate the annual cost for the entire population and per capita. It is of interest to the state to have an indication of such a lost income so as to be able to benchmark against it potential new safety measures before introducing them.
    Keywords: traffic accident; death; mortality; insurance; protection; pure insurance premium; economic loss; recovery.

  • Residential Property Market Prices Estimation Using Spatial Analysis Models   Order a copy of this article
    by Athanasios Vavatsikos, Evaggelia-Spiridoula Karagiorgou-Papavasili, Maria Giannopoulou 
    Abstract: Worldwide construction sector is considered to be one of the most important production factors. In that manner property valuation is considered to be an important research field for significant production factors such as investors, developers, construction companies etc. In its simplest form, valuation is the determination of the property transaction price on a specific date. Up to now, a wide range of valuation methods exist, according to the properties potential usage or the aim of the evaluation process. Given the spatial nature of the real estate valuation procedures the role of Geographic Information Systems can significant improve the quality of the valuation procedures so as to derive accurate price estimations and thus to provide decision support for investors and politicians with respect to financial and political decisions. Given that comparative evaluation approach is considered the most preferable approach in property investment, GIS-based approaches are implemented aiming to obtain the most suitable spatial distribution of residential market prices from a set of known estimations. In the paper at hand, through an extensive description of the Greek real estate market, a methodological framework that allow both private and public sector organizations in Greece to obtain property price estimations is proposed. The latter can be a valuable tool for real estate appraisers and investors since it provides data for decision making. In addition it provides the basis for addressing real estate taxation issues and thus to support policy making. Finally the proposed framework is illustrated through a real world case study in the city of Xanthi, located in north-eastern Greece.
    Keywords: GIS; Real Estate; Spatial Interpolation; Real Estate Taxation.

  • A simulation approach to "quay-to-shore storage area" container transfer problem   Order a copy of this article
    by Athanasios Ballis, Evanthia Thanou 
    Abstract: Maritime container terminals are complex systems consisting of various interrelated components. Among them, the subsystem performing the container transfer between the quay and the container storage areas is of critical importance as any inefficiency in feeding a quay crane with containers affects negatively the performance of the whole sea-side operation. The current work conducts an investigation of the parameters affecting the performance of this subsystem and attempts to resolve a contradiction concerning the effectiveness of pooled transfer equipment strategy. The analysis was performed by use of a simulation model for an ideal container berth with an adjacent stack area. Inbound and outgoing container bundling techniques were investigated in combination with pooled equipment strategies. The main outcome is that when quay is linear, the container bundling is effective when it takes place between quay cranes of the same vessel or even between quay cranes of adjacent vessels.
    Keywords: Port operations; ship to shore transfer container terminal; simulation.

  • A combined MCDA - Monte Carlo Simulation approach for the evaluation of investment decisions on public transit.   Order a copy of this article
    by Anastasia Roukouni, Athanasios P. Vavatsikos, Maria Giannopoulou, Francesca Medda 
    Abstract: As cities worldwide are projected to experience a noteworthy growth in population in the decades to come, additional strain is placed on many urban systems that are already at capacity. At the same time, public funds dedicated to transportation are experiencing vital cuts, creating this way considerable problems and forcing transportation specialists to investigate new ways of meeting this financial challenge; a set of options comes under the umbrella term "Value Capture". In this context, the objective of the present paper is to develop a Multicriteria Decision Analysis (MCDA) evaluation framework for the selection of the most efficient value capture financing mechanism for urban investment on transportation infrastructure and more importantly, to conduct a comprehensive sensitivity analysis in order to examine the stability and thus efficiency of the obtained results. The MCDA method used is the Analytical Hierarchy Process (AHP), while for the sensitivity analysis Monte Carlo Simulation is used. The application of Monte Carlo Simulation revealed very interesting pathways concerning the level of ambiguity and uncertainty of the results.
    Keywords: Multicriteria Decision Analysis; Monte Carlo Simulation; Value Capture Finance; Urban Public Transportation.

Special Issue on: Decision Support Systems in Commerce, Logistics and Transportation

  • Using Kanos model to incorporate Six Sigma analysis in customer satisfaction measurement   Order a copy of this article
    by Yannis Politis, Evangelos Grigoroudis 
    Abstract: The Six Sigma approach has been well recognized as an important tool for continuous improvement and business excellence. It is a statistical concept that analyzes a process in terms of defects and can be used in order to measure the probability that companies can manufacture or produce any given unit of a product (or service) with zero defects. While many companies have adopted the concept of Six Sigma and zero defects in manufacturing processes few have extended it to customer satisfaction. Six Sigma can be used to measure the number of dissatisfied customers (defects) and can constitute a tool for developing strategies to improve customer satisfaction. Since sigma level can be used as a measure of the number of dissatisfied customers, it can be assumed that there is a direct relationship between satisfaction ratings and sigma levels. However, higher sigma levels for certain attributes do not necessarily translate to correspondingly higher customer satisfaction scores, while some attributes with higher satisfaction scores may not have a very high sigma level. This can be due to the different importance given by customers to the satisfaction criteria or their expectations on a set of quality characteristics. The main goal of this paper is to incorporate the concept of Six Sigma analysis in customer satisfaction measurement by introducing the principles of Kanos customer satisfaction model in order to derive important information for the selection of strategic actions. The proposed approach has been implemented in a real case study concerning the evaluation of customer satisfaction from Greek mobile service providers.
    Keywords: Six Sigma; Customer Satisfaction; MUSA Method; Kano’s Model; Mobile Service Providers.

  • A Multicriteria Decision Support Approach for Redesigning e-Learning Systems   Order a copy of this article
    by Christos Kytagias, Yannis Psaromiligkos, George Dimakos 
    Abstract: In this paper we present a decision support approach for redesigning e-learning systems through the analysis of students' preferential structures. Our approach supports instructional designers to take decisions during the redesign process of an e-learning system by analyzing the students' preferential structures in the following dimensions: (a) the dimension of students' learning behavior (b) the dimension of students' learning performance and (c) the dimension of students' feedback. Our approach is based on a new method from the domain of Multicriteria Decision Making that provides weights of individuals' preferences which become input in a clustering process that determines groups of preferences among students. Based on these clusters we analyze the other three dimensions and we provide a framework for the decision making process capable to provide significant feedback for the redesign of the e-learning system. A case study is also described of the application of our approach in a real course.
    Keywords: Multicriteria decision support approach; redesign e-learning systems; Weights Assessment through Prioritization (WAP); e-Learning Systems; analyzing students’ preferences; learning analytics.