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The purpose of this paper is to pursue two following main goals: first, theorizing a new concept named as equivalent bus load in order to make a promising simplification over power system analysis. Second, proposing an outstanding fast and simple approach based on introduced concept for voltage estimation after multiple component outages while satisfying required accuracy.

Equivalent load bus theory introduces three transfer matrices that describe power system topology. Mentioned matrices could be calculated simply after system reconfiguration without matrix inversion. Using transfer matrices a large-scale power system can be modeled by a simple two-bus power system from the viewpoint of any desired bus so that load flow calculation leads to same value. The analysis of simplified power system yields to extract a new incremental model based on equivalent bus load theory that will be distinguished as an outstanding fast method for voltage estimation aim.

A deep study for fast voltage estimation aim is dedicated to evaluate proposed method from the accuracy and quickness point of view and the outcomes are compared to a well-known method as Distribution Factors (DF). Results and computational times unveil that presented approach is more accurate and much faster.

A novel and new fast voltage estimation method for assessment of power system component outages is introduced.

The purpose of this study is to examine the role of attitude as a mediator in exploring the Halal cosmetics purchase intention of Indian Muslim women. Various drivers of electronic word of mouth (eWOM) (quality, quantity, consistency and quantity) have been tested as antecedents of purchase intention through the lenses of the elaboration likelihood model (ELM).

The positivist paradigm approach has been used to test the proposed mediation model using structural equation modelling. Responses of 313 Indian Muslim women who read reviews shared on various social media platforms before making any halal cosmetics purchase intention have been used for the final analysis. Mediation was tested using bootstrapping.

The findings of the study revealed that attitude towards halal cosmetics mediates the relationships of various drivers of eWOM with halal cosmetics purchase intention. However, it was observed that this mediation was partial in the context of eWOM quality, eWOM valence and eWOM consistency. Furthermore, for eWOM quantity, the mediation effect was full as the direct impact of eWOM quality on halal cosmetics purchase intention was not significant but its indirect impact on the latter via attitude was found to be significant.

This study adds to the marketing communication literature, especially in the context of eWOM. The study also validates ELM theory in explaining the attitude that shapes the halal cosmetics purchase intention, thus the current study enriches the ELM literature.

The current study offers several implications for halal cosmetics marketers. It offers various suggestions to them on how to capitalize on eWOM as it influences Indian Muslim women’s purchasing intention for halal cosmetics by shaping their attitude towards such cosmetics favourably.

With reference to halal cosmetics, the current study offers a new perspective by examining the purchasing intention for such cosmetics based on various drivers of eWOM. The attitude towards halal cosmetics as a mediator has helped in better explaining the purchase intention for halal cosmetics.

Today, proficient practices are required to stimulate along various boundaries of the supply chain (SC) to exploit manufacturing resources economically, effectually and gracefully for retaining operational excellence. Accordingly, varieties of paramount practices, i.e. Lean, Agile, Resilient and Green practices, are integrated in present study with the objective to develop a Decision Support Framework (DSF) to select robust supplier under the extent of Lean-Agile-Resilient-Green (LARG) practices for a manufacturing firm. The framework is developed and validated in the Indian automotive sector, where the primary data is collected based on perceptions of the respondents working in an automotive company.

LARG metrics can ponder ecological balance, customer satisfaction, associations, effectiveness and sustainability and thus, the study consolidated LARG practices in one umbrella to develop a DSF. The analytical approach under DSF is developed by the integration AHP, DEMATEL, ANP, Extended MOORA and SAW techniques in present study to evaluate a robust supplier under the aegis of LARG practices in SC. DSF is developed by scrutinizing and categorizing LARG characteristics, where the selected LARG characteristics are handled by fuzzy sets theory to deal with the impreciseness and uncertainty in decision making.

The study has identified 63 measures (15 for Lean, 15 for Agile, 14 for resilient and 19 for Green) to support the robust supplier selection process for manufacturing firms. The findings of study explicate “Internal communication agility”, “Interchangeability to personnel resources”, “Manufacturing flexibility”, “degree of online solution”, “Quickness to resource up-gradation”, “Manageability to demand and supply change”, “Overstocking inventory practices” as significant metrics in ranking order. Additionally, “Transparency to share information”, “Internal communication agility”, “Manufacturing Flexibility”, “Green product (outgoing)” are found as influential metrics under LARG practices respectively.

A technical DSF to utilize by the managers is developed, which is connected with knowledge-based theory and a case of an automobile manufacturing firm is presented to illustrate its implementation. The companies can utilize presented DSF to impose service excellence, societal performance, agility and green surroundings in SC for achieving sustainable outcomes to be welcomed by the legislations, society and rivals. The framework represents an important decision support tool to enable managers to overcome imprecise SC information sources.

The study presented a proficient platform to review the most significant LARG alternative in the SC. The study suggested a cluster of LARG metrics to support operational improvement in manufacturing firms for shifting gear toward sustainable SC practices. The present study embraces its existence in enrolling a high extent of collaboration amongst clients, project teams and LARG practices to virtually eradicate the likelihood of absolute project failure.