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Limited facilities operating and modernization budgets require organizations to carefully identify, prioritize and authorize projects to ensure allocated resources align with strategic objectives. Traditional facility prioritization methods using risk matrices can be improved to increase granularity in categorization and avoid mathematical error or human cognitive biases. These limitations restrict the utility of prioritizations and if erroneously used to select projects for funding, they can lead to wasted resources. This paper aims to propose a novel facility prioritization methodology that corrects these assessment design and implementation issues.

A Mamdani fuzzy logic inference system is coupled with a traditional, categorical risk assessment framework to understand a facilities’ consequence of failure and its effect on an organization’s strategic objectives. Model performance is evaluated using the US Air Force’s facility portfolio, which has been previously assessed, treating facility replicability and interruptability as minimization objectives. The fuzzy logic inference system is built to account for these objectives, but as proof of ease-of-adaptation, facility dependency is added as an additional risk assessment criterion.

Results of the fuzzy logic-based approach show a high degree of consistency with the traditional approach, though the value of the information provided by the framework developed here is considerably higher, as it creates a continuous set of facility prioritizations that are unbiased. The fuzzy logic framework is likely suitable for implementation by diverse, spatially distributed organizations in which decision-makers seek to balance risk assessment complexity with an output value.

This paper fills the identified need for portfolio management strategies that focus on prioritizing projects by risk to organizational operations or objectives.

As services are inherently inseparable from service providers, linguistic effects are likely to occur during service encounters between service marketers and consumers. However, this study’s current understanding is still limited regarding how or why a language shapes consumers’ perceptions of service quality. To fill this gap, this paper aims to provide foundational evidence by examining how linguistic fluency affects consumers’ perceptions of service quality.

This paper presents two multimethod studies. Study 1 compared online review ratings from 61,194 consumers living in native and nonnative English-speaking countries. Study 2 further clarified the mediating role of negative emotions between linguistic disfluency and perceptions of service quality by analyzing questionnaires from 399 nonnative English speakers.

The results of the two multimethod studies show that linguistic processing can misrepresent the true quality of services due to linguistic disfluency by nonnative English speakers. This paper’s findings integrate the literature on linguistic fluency, emotional psychology and service marketing to yield insights that might be challenging to gain by relying on only one of those disciplines independently.

To the best of the authors’ knowledge, this paper provides the first empirical evidence on systematic differences between native and nonnative English speakers’ decision-making styles related to their perceptions of quality. Also, methodologically, this study provides corroborating empirical evidence from two multimethod studies. Moreover, this paper expands our current knowledge through an integrated examination of relevant literature in the fields of linguistic fluency, emotional psychology and service marketing to provide more comprehensive insights.