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The aim of this research is to investigate crisis management practices in the hotel industry, in light of the new challenges that have emerged during COVID-19 pandemic. For this reason, an empirical research was conducted in leading hotels in Greece. The analysis generated five categories of crisis management practices that can be used by the industry for its recovery. Government practices and marketing practices are considered more important than operations practices, cost reduction practices and pricing practices; it has likewise been decided to be used more. We also found that there are differences in the importance and the extent of use of crisis management practices that have been decided by hoteliers, based on the characteristics of their hotels.

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PurposeThis paper seeks to demonstrate an application of a methodology, which is based on the integration of three techniques, with the purpose of modelling activity‐based costing (ABC) in restaurants. The proposed methodology serves as a tool for effectively computing values of cost drivers in the restaurant industry, as well as making accurate cost estimations.Design/methodology/approachThe methodology is based on the integration of three techniques: simulation modelling, association rule mining (ARM) and ABC. Simulation modelling is used to model process variability and produce a range of cost values, instead of a point estimate of the cost, by generating a range of values for the simulated cost drivers. The advantage of the proposed methodology lies on the effective utilization of ARM in the ABC model; it extracts dependencies between a cost driver, whose estimation is time‐consuming, with another cost driver, which can easily be calculated. These associations can assist the estimation of the empirical distributions of those cost drivers, which were difficult to calculate.FindingsThe extracted associations verify the hypothetical relations between the cost drivers. The output produced is more precise values of the cost drivers that are included in an ABC model and were difficult to estimate. More accurate cost estimate means better pricing decisions for the restaurant managers.Originality/valueThe proposed methodology is an innovative technique that provides more accurate accounting information in the restaurant industry.

Purpose -This paper aims to present a methodology for activity-based costing, which combines simulation modeling and association rule mining, one of the core data-mining techniques. The objective of the proposed methodology is to deal with the problem of defining cost drivers. Design/methodology/approach -Activity-based costing uses the output produced by the simulation of cost drivers as inputs. As opposed to the integration of the ABC technique with simulation modeling, the possibility of estimating an empirical distribution of the simulated cost drivers does not exist in the proposed methodology. This is achieved with the use of data-mining techniques and is based on the proposition that, if an association is found between a cost driver, whose estimation or calculation is time-consuming, and another cost driver, which can easily be estimated or calculated, then the latter can lead to the estimation or calculation of the former. Findings -The extracted association rules correspond to existing dependencies between the cost drivers. Originality/value -The paper presents a combined methodology to deal with the problem of defining cost drivers in activity-based costing. An example of the proposed methodology in healthcare is also presented.