Forthcoming articles

 


International Journal of Management and Decision Making

 

These articles have been peer-reviewed and accepted for publication in IJMDM, 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 Articles will not be published until the final proofs are validated by their authors.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 (2 papers in press)

 

Regular Issues

 

  • The efficiency of the top Mega yacht builders across the world: a financial ratio-based data envelopment analysis   Order a copy of this article
    by Alessandro Merendino, Enrico Deidda Gagliardo, Stefano Coronella 
    Abstract: This research provides an application of a non-parametric analytic technique (data envelopment analysis, DEA) in measuring the performance of the mega yacht sector. It analyses the efficiency of the top mega yacht companies across the world in 2005-2013 by offering a model useful for comparing inefficient shipbuilders with the efficient ones. This paper adopts an output-oriented version of DEA based on financial ratios where inputs are not utilised. In order to handle missing data, we test and compare two different techniques: the deletion one and the multiple linear regression analysis (MLRA). We find that DEA can be a complement or alternative tool to ratio analysis to evaluate corporates' performance. We also find that the most efficient shipbuilders are those based in the most prosperous countries. Finally, the MLRA efficiency scores are more reliable and consistent with the firms' annual reports and financial ratios.
    Keywords: data envelopment analysis; DEA; efficiency; financial ratios; mega yacht sector.
    DOI: 10.1504/IJMDM.2018.10009551
     
  • A Fuzzy EOQ model for deteriorating items with imperfect quality using proportionate discount under learning effects   Order a copy of this article
    by Srikanta Patnaik, Rojalin Patro, Milu Acharya, Mitali Madhusmita Nayak 
    Abstract: The present paper analyses the impact of learning on optimal solution of inventory problems. The aim of the paper is to develop both crisp and fuzzy EOQ models for imperfect quality items under deterioration and analyse the effect of learning on holding cost, ordering cost and the number of defective items present in each lot and deal the fuzziness aspect of demand for the fuzzy model. In this paper, it is assumed that all received items are not of perfect type and after100% screening, imperfect items are dropped from the inventory and sold at an allowable proportionate discount. Due to the repetition of handling the system holding cost and ordering cost gradually decrease from one shipment to another. The optimal lot sizes of both crisp and fuzzy models are obtained by calculus method and the total profit functions for each model are also derived. The total profit function of the fuzzy model is defuzzified by using signed distance method. Numerical examples are provided to illustrate the developed models and sensitivity analysis is conducted to show the effect of number of shipments on the order quantity and the total profits of the models.
    Keywords: Inventory; EOQ; Imperfect quality; Deteriorating items; Proportionate discount; Triangular fuzzy number; Signed distance; Learning effects; Defuzzification.
    DOI: 10.1504/IJMDM.2018.10010851