Purpose: – The purpose of this paper is to propose a business process reengineering (BPR) approach to a public administration of Italy, to first assess the efficiency of the administration, then to redesign its internal processes, to improve the current performance. Design/methodology/approach: – A detailed mapping of the AS IS processes of the public administration was initially carried out, together with the collection of the relevant data. Then, a simulation model was designed to support the BPR approach. In particular, the model was exploited to assess the performance of the AS IS scenario of the organization, then to investigate numerous TO BE process configurations and evaluate the achievable performance improvements. Findings: – From the study, it emerged that the current efficiency level of the public administration examined has potentials to be significantly improved. For instance, by maintaining its current workforce, the public administration could consider the opportunity of providing additional services to the citizens or to serve citizens from the neighbouring municipalities. Otherwise, the organization could consider a reorganization and reduction of its current workforce, at the same time keeping the service level to its citizens almost unchanged. Research limitations/implications: – Results of this study cannot be fully generalized, since the whole analysis is grounded on specific public administration. Moreover, although the simulation outcomes of the TO BE processes show interesting improvements compared to the AS IS scenario, the TO BE configurations were not (yet) implemented in practice. Therefore, the results provided should be confirmed in future research activities. Practical implications: – The case study allowed deriving some useful guidelines to improve the efficiency of the public administration examined, as well as to identify some TO BE configurations that could be implemented in practice. Originality/value: – Scientific literature includes a limited number of studies that evaluate the efficiency of public organizations in real contexts. Moreover, no studies target public administrations in Italy. Therefore, this case study represents an interesting addition to the literature.

This paper develops a quantitative tool for the assessment of sustainability at the company’s level, taking into account its three key perspectives, i.e., economic, environmental and social. The proposed framework is grounded on fuzzy logic and in particular on a monotonic hierarchical fuzzy inference tool, as an effective means to gather the judgements and scores against the key performance indicators (KPIs) of each sustainability perspective into an aggregated index. In developing the fuzzy inference tool, we also solve some typical issues related to the assessment of sustainability, e.g., the identification of benchmark values to rate the company’s performance against each sustainability KPI. The architecture of the fuzzy inference tool was embodied in an ad hoc software developed in Microsoft Excel^TM (Microsoft Corporation, Albuquerque, NM, USA), which makes it easy to use the proposed framework in practical situations. The potential of the software tool developed is illustrated by means of a case study, targeting a food machinery company, for which the overall evaluation of sustainability is carried out.

This paper provides empirical evidence on the impact of the Covid-19 pandemic on logistics and supply chain processes of five industrial sectors of Italy, namely food & beverage, machine manufacturing, metal mechanical industry, logistics & transport, and textile & fashion. A questionnaire survey, with 82 useful responses, was conducted to investigate various effects of Covid-19 on these businesses, such as the volumes handled and the service performance in the immediate-, short- and medium-term, the countermeasures implemented by companies and the future decision-making strategies. The period of analysis spans from January 2020 to June 2021. Results show that the impact of Covid-19 on volumes and service performance varied across the sectors: the food & beverage and logistics & transport were poorly affected by the pandemic and experienced a general increase in the demand and volumes, while mechanical or textile & fashion industries were mostly affected by a decrease in demand. The positive/negative impacts were particularly evident at the beginning of the pandemics, but, depending on the sector, the effects could cease quite quickly or last in the short-term. The countermeasures adopted against the Covid-19 emergency differ again across sectors; in general, industry fields that were particularly impacted by the pandemic emergency have applied more countermeasures. Typical strategies for risk management (e.g., the diversification in transport modes or the stock increase) turned out to be applied as immediate countermeasures or in plan for the future in few industries only. Differences across sectors were also observed about the sourcing strategies already in use, implemented to counteract the pandemics or expected to be maintained in time. Empirical outcomes offered are expected to help researchers gain a deep understanding of Covid-19 related phenomena, thus inspiring further research activities.