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The purpose of this paper is to formulate the reliability optimization problem in stochastic and interval domain and also to solve the same under different stochastic set up.

Stochastic programming technique has been used to convert the chance constraints into deterministic form and the corresponding problem is transformed to mixed-integer constrained optimization problem with interval objective. Then the reduced problem has been converted to unconstrained optimization problem with interval objective by Big-M penalty technique. The resulting problem has been solved by advanced real coded genetic algorithm with interval fitness, tournament selection, intermediate crossover and one-neighbourhood mutation.

A new optimization technique has been developed in stochastic domain and the concept of interval valued parameters has been integrated with the stochastic setup so as to increase the applicability of the resultant solution to the interval valued nonlinear optimization problems.

The concept of probability distribution with interval valued parameters has been introduced. This concept will motivate the researchers to carry out the research in this new direction.

The application of genetic algorithm is extended to solve the reliability optimization problem in stochastic and interval domain.

Over the years, despite the best efforts to evaluate service quality through multiple techniques, the connotation between service deliverance and consumer expectation remains sporadic. In the quest to quantify service quality from an innovative perspective, the current study has leveraged consumer-perceived experiences to unveil the novel intricacies of healthcare quality.

Anchoring on the dimensions of patient experience (PX), field data were collected from 244 patients at different private hospitals operating across India. Further, this study incorporated a fuzzy analytic hierarchy process (F-AHP) to evaluate consumer preferences and prioritised the dimensions of PX in three categories of Indian hospitals, namely nursing homes (NHs), mid-tier corporate hospitals (MCHs) and top-tier corporate hospitals (TCHs).

The results establish a performance ranking by demonstrating that MCHs outperform the rest alternatives on the grounds of perceived experiences. Tukey's honestly significance difference (HSD) test was executed to confirm the heterogeneity among the participants' preferences across three different hospital categories. The results reveal that for most of the alternatives, the mean scores of the criterion were statistically significantly different.

In healthcare studies, PX dawned as an entity with an ability to propel healthcare quality in a better way than the classical techniques did. The study's findings present a comprehensive picture of a care delivery system by identifying relatively significant dimensions of PX, hence improving the quality quotients by adjusting healthcare offerings in alignment with consumer expectations and organisational strategies.

This paper aims to determine pathways leading to enterprise profitability during the COVID-19 pandemic in the Philippines.

The study (N = 272) was participated by 228 micro, small and medium enterprises (MSMEs) and 44 large enterprises. Configurational analysis using the fuzzy-set qualitative comparative analysis was used in modelling combinations of firm characteristics and organizational resilience attributes that could lead to enterprise profitability.

Using the Benchmark Resilience Tool of Resilient Organisations, the study showed that three main attributes of organizational resilience (leadership and culture, networks and relationships, and readiness to change) played significant roles in enterprise profitability. Other conditions of varying influence on profitability included costs, sales, number of employees and the number of years in operations of an enterprise. For MSMEs, profitability can be achieved if all resilience attributes are present, while for large enterprises, the absence of some resilience attributes can be compensated by other attributes such as low decline in sales, low employee reduction, and more years in operation.

While the COVID-19 pandemic’s impacts have been far-reaching, the MSMEs and large enterprises are more likely to be profitable if they have used the three organizational resilience attributes. Moreover, these attributes do not only improve firm profitability and the overall enterprise performance during the present pandemic but also prepare them for future shocks.

To the best of the authors’ knowledge, modelling antecedents of enterprise profitability using configurational analysis is the first in the Philippines.