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The purpose of this paper is thus to develop a hybrid decision-making model for optimal coal blending strategy. Coal is one of the major resources contributing to generation of electricity and anthropogenic carbon-dioxide emission. Being formed from dead plant matter, it undergoes a series of morphological changes from peat to lignite, and finally to anthracite. Because of non-uniform distribution of coal over the whole earth and continuous variation in its compositions, coals mined from different parts of the world have widely varying properties. Hence, it requires an ideal blending strategy such that the coking coal having the optimal combination of all of its properties can be used for maximum benefit to the steel making process.

In this paper, a multi-criteria decision-making approach is proposed while integrating preference ranking organization method for enrichment of evaluations (PROMETHEE II and V) and geometrical analysis for interactive aid (GAIA) method to aid in formulating an optimal coal blending strategy. The optimal decision is arrived at while taking into account some practical implications associated with blending of coal, such as coal price from different reserves.

Different grades of coal are ranked from the best to the worst to find out the composition of constituent coals in the final blending process. Coals from the mines of two different geographical regions are considered here so as to prove the applicability of the proposed model. Adoption of this hybrid decision-making model would subsequently improve the performance of coal after blending and help in addressing some sustainability issues, like less pollution.

As this model takes into account the purchase price of coals from different reserves, it is always expected to provide more realistic solutions. Thus, it would be beneficial to deploy this decision-making model to different blending optimization problems in other spheres of a manufacturing industry. This model can further accommodate some more realistic criteria, such as availability of coal in different reserves as a topic of future research work.

If females are more ethical than males, as the literature on the subject generally suggests, engaging and encouraging females in their careers would certainly promote an ethical environment. The present paper is motivated by such a viewpoint and aims to investigate gender‐based differences in the ethical disposition and the underlying dimensions in ethical decision‐making processes, by specific examination of business students.

The main research instrument is a quantitative questionnaire through which the responses of 162 business students (45 females and 117 males) are examined. For data analysis univariate analysis by invoking one‐way analysis of variance and multivariate approach using cluster analysis are conducted to investigate gender‐based differences in the ethical disposition. To determine the underlying dimensions in ethical decision‐making processes, for female and male business students, the principal axis approach to factor analysis has been used.

The findings provide evidence that female business students are more ethically predisposed than their male counterparts. It is further observed that males exhibit less diversity in ethical decision making while females more readily invoked different ethical dimensions for different business scenarios.

The paper offers valuable insight into the role of gender in ethics in the context of Indian business. The fact that females appear to demonstrate greater sensitivity on ethical issues suggests that practitioners may want to use this knowledge for developing their organizational strategies, ethical codes, and evaluation systems. Further, the study also highlights the importance of realigning the curriculum in a manner that the teaching of ethics becomes an integral part of business school education.