Forthcoming articles

International Journal of Management and Decision Making

International Journal of Management and Decision Making (IJMDM)

These articles have been peer-reviewed and accepted for publication 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 Articles will not be published until the final proofs are validated by their authors.

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International Journal of Management and Decision Making (7 papers in press)

Regular Issues

  • A hybrid multi-criteria decision making model for technological innovation capabilities measurement in automotive parts industry   Order a copy of this article
    by Detcharat Sumrit 
    Abstract: Technological innovation capabilities (TICs) are currently one of the essential factors to enhance the competitiveness of enterprises. The measurement of TICs is a complicated decision making process and quite difficult to perform because its assessment involves multi-attribute criteria and the subjective judgements of experts. To solve these problems, this study provides a TICs evaluating model by employing a hybrid multi-criteria decision making (MCDM) technique. This method is an integration of four approaches, consisting of: 1) fuzzy Delphi; 2) fuzzy DEMATEL; 3) analytical network process; 4) technique for order preference by similarity to an ideal solution (TOPSIS). The final results showed the measurement criteria, the interrelationship and the relative important weights among criteria and the ranking of TICs of firms. An empirical study is also illustrated in Thai automotive parts firms as a case study. Furthermore, this study could assist industrial managers to efficiently evaluate TICs and its direction of improvement.
    Keywords: ANP; Fuzzy Delphi; Fuzzy DEMATEL; MCDM; TOPSIS.
    DOI: 10.1504/IJMDM.2020.10022200
     
  • An Empirical Net Asset Value Forecasting Model based on Optimized ANN using Elephant Herding Strategy   Order a copy of this article
    by Srikanta Patnaik, Sarbeswara Hota, Kuhoo ., Debahuti Mishra 
    Abstract: Net asset value (NAV) prediction of mutual funds is one of the promising tasks of financial time series data forecasting. It enables the investors to choose the desired mutual fund for investing. Artificial neural network (ANN) is well suited for NAV prediction as the NAV data are nonlinear in nature. This paper proposes the ANN model hybridised with elephant herding optimisation (EHO) algorithm to predict the NAV of different interval days ahead for two of the Indian mutual funds. The prediction performance of ANN-EHO model is compared with ANN, ANN-GA, ANN-PSO and ANN-DE. The results implicate that ANN-EHO model is superior to other four models.
    Keywords: Net Asset Value; Elephant Herding Optimization; Differential Evolution; Matriarch.
    DOI: 10.1504/IJMDM.2020.10022206
     
  • An integrated MILP-MCDM decision framework for uncertain multi-criteria facilities location problem of glass industries   Order a copy of this article
    by Sadegh Niroomand, Nahid Kohansal, Arash Bazyar, Fereshteh Daneshdoost 
    Abstract: In existence of interval-valued parameters and managerial limitations, MCDM problems become more complex than their classical versions. In such cases, the classical MCDM techniques are not quite useful solution tools. This study focuses on a MCDM problem to establish the branches of a glass production company in all districts of Iran in existence of interval-valued parameters and managerial limitations. To overcome the above-mentioned difficulties, a typical decision framework is proposed. In the proposed framework, first, an interval Shannon's entropy approach is proposed to find interval criteria weights. Then a full interval TOPSIS approach is proposed to score the potential locations. Finally, using the obtained scores, a mixed integer linear programming model is developed to respect the constraints and find an optimised set of potential locations for the new branches. The proposed decision framework is validated by the real data of the case study and its sensitivity is studied in detail.
    Keywords: TOPSIS method; Shannon’s entropy; interval number; multi-criteria decision making; case study; managerial decisions.
    DOI: 10.1504/IJMDM.2020.10023761
     
  • Decision Making Models and Tools: A Critical Study   Order a copy of this article
    by Srikanta Patnaik, Suprava Devi, Mitali Madhusmita Nayak 
    Abstract: The important process for any business organisation is decision-making, which need resources. The process of making decision is fundamental and vital for any business organisation. This paper includes various decision-making models and its techniques in details along with its suitability. The significance of this study is to choose the appropriate and correct model for business. The paper proposes that a particular decision-making model becomes a suitable tool for decision makers under fluctuating conditions and time stress. When the parameter of the environment changes, the model has to be chosen accordingly. We also discuss the phases of the decision-making which includes distinct techniques to support each stage of the decision-making process to interpret the business thoughts into a noticeable, transmissible structure. This paper includes the performance measurement that provides benchmarks about optimum performance by the system and it can help to make better decisions, meet the challenges, and achieve the missions under the specific decision-making frameworks.
    Keywords: Decision making models; decision making process; tools and methods of decision making; phases of decision making.
    DOI: 10.1504/IJMDM.2020.10023842
     
  • A new DEA ranking system based on interval Cross Efficiency and interval Analytic Hierarchy Process methods   Order a copy of this article
    by Dariush Akbarian 
    Abstract: The aim of this paper is to present a novel approach for ranking all decision maker units (DMUs) using interval cross-efficiency (ICE) and interval analytic hierarchy process (IAHP) methods. This approach includes two basic stages. In the first stage, the interval cross-efficiency values of each DMU are specified using DEA models. In the second stage, the interval pairwise comparison matrix generated in the first stage is utilised to rank the units (DMUs) via the one step process of interval AHP (i.e., the AHP model with interval decision maker judgements). Two numerical examples are presented in this paper and the present approach is compared with some other approaches.
    Keywords: Data envelopment analysis; Interval Analytical Hierarchy Process; Interval Cross efficiency; Ranking.
    DOI: 10.1504/IJMDM.2020.10023972
     
  • A Network-Based Solution for the Fair Student-to-School Allocation   Order a copy of this article
    by Khodakaram Salimifard, Sara Bigharaz 
    Abstract: This paper presents a mathematical model for planning in public schools, considering the satisfaction of the total demand for education, fair students access to schools, and the total travel distance. Given a set of schools, the aim of the model is to find an optimal allocation of students such that school should is available to each group of students. The model includes information about geographical prioritised access zones which should be covered by each school. The objective function essentially seeks to minimise the total distance travelled by students. We propose a multi-commodity programming model for solving this problem. The model is used to analyse the effects of different allocation policies on the fairness of student allocation to schools. Results show that a fair distribution of students of each social class to each school is obtained, while the total distance being travelled is minimised.
    Keywords: student-to-school allocation; multi-commodity network flow; MCNF; geographical prioritisation; integer programming.
    DOI: 10.1504/IJMDM.2020.10024622
     
  • A market selection approach for dairy companies   Order a copy of this article
    by Shervin Zakeri, Naoufel Cheikhrouhou, Mohammad Reza Rostamian Delavar 
    Abstract: This paper addresses the development of a multi-criteria decision making (MCDM) procedure including a pattern extraction from success and failure of current market introduction to generate a logical framework for target market selection. In addition of covering the gap of comprehensive research in Iran's domestic dairy market, using combined MCDM methods and grey systems, the main problem this paper tries to solve is the selection of a target market which covers not only the limitations of the company's current markets but also possesses their advantages. A real-world implementation of the approach is done within a dairy company located in Iran. Considering Tehran, the North, Khuzestan, and West Azerbaijan as the current market, and also Mashhad, Isfahan, Shiraz, and Tabriz as the potential market, Shiraz selected as the best target market through analysis of various criteria. Results show that considering current markets has a big influence on the market ranking procedure.
    Keywords: Market selection; Dairy market; Multi-criteria decision-making; Iranian dairy markets.
    DOI: 10.1504/IJMDM.2020.10024632