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This paper links supply chain risk management to medicine supply chains to explore the role of policymakers in employing supply chain risk management strategies (SCRMS) to reduce generic medicine shortages.

Using secondary data supplemented with primary data, the authors map and compare seven countries' SCRMS for handling shortage risks in their paracetamol supply chains before and during the first two waves of the COVID-19 pandemic.

Consistent with recent research, the study finds that policymakers had implemented few SCRMS specifically for responding to disruptions caused by COVID-19. However, shortages were largely avoided since multiple strategies for coping with business-as-usual disruptions had been implemented prior to the pandemic. The authors did find that SCRMS implemented during COVID-19 were not always aligned with those implemented pre-pandemic. The authors also found that policymakers played both direct and indirect roles.

Combining longitudinal secondary data with interviews sheds light on how, regardless of the level of preparedness during normal times, SCRMS can be leveraged to avert shortages in abnormal times. However, the problem is highly complex, which warrants further research.

Supply chain professionals and policymakers in the healthcare sector can use the findings when developing preparedness and response plans.

The insights developed can help policymakers improve the availability of high-volume generic medicines in (ab)normal times.

The authors contribute to prior SCRM research in two ways. First, the authors operationalize SCRMS in the medicine supply chain context in (ab)normal times, thereby opening avenues for future research on SCRM in this context. Second, the authors develop insights on the role policymakers play and how they directly implement and indirectly influence the adoption of SCRMS. Based on the study findings, the authors develop a framework that captures the diverse roles of policymakers in SCRM.

This study aims to propose a conceptual framework for the acceptability of city branding on social media. The conceptual framework of the acceptability of city branding is necessary to achieve a successful city brand in the social media era. It tries to develop the use of social media in city branding practices and its acceptability, especially in the areas of urban planning and development. The study also explores important issues in the use of social media and its acceptability in city branding practices.

This study was initially conducted using a literature review of relevant, recent, and trustworthy scholarly publications (books, journals, reports, and proceedings) about city branding and acceptability from the electronic database by using relevant terms and keywords to find the relevant literature. The next step was to identify the essential variable described in the literature and assess how these are connected to one another. The last step was to create a conceptual framework using the variables that were found and their interrelationships.

Social media is crucial for determining a successful model of city branding strategy. Incorporating social media in the city branding process may lead to emerging bottom-up forms of influencing the city branding process, creating better-accepted city branding from wider audiences and guaranteeing a long-term successful city brand. The results of this paper indicate that one can utilize social media user-generated content (from residents and visitors), local government-created content, peer interaction, electronic word of mouth (e-WOM), and the engagement and participation medium to understand whether city branding is accepted by stakeholders through nine dimensions of acceptability: knowledge, information diffusion, experience, attachment, congruence, behavioral intention, perceived quality, engagement, and participation.

This research outcome can be used to evaluate and extend the classical theory of the acceptability of city branding, or even the overall umbrella term of branding, in the digital age. Despite its contribution, this study is not without limitations. The conceptual framework herein is best suited to a branded city with a high social media penetration rate to better represent real-life phenomena in the offline environment; in other contexts, it presents certain reliability concerns regarding its implementation.

The conceptual framework herein is best suited to a branded city with a high social media penetration rate to better represent the real-life phenomena in the offline environment; in other contexts, it presents certain reliability concerns regarding its implementation.

This research highlight some acceptability dimensions of city branding practice and also emphasize social media platform as useful tool to understand people's opinion, attitude and behavior. Combining these two concepts of the acceptability of city branding and the use of social media provides an opportunity to achieve the goals of meaningful, authentic and resilient city branding.

The purpose of this paper is to evaluate the functioning of the main Spanish and Portuguese containers ports to observe if they are operating below their production capabilities.

To achieve the above-mentioned objective, one possible method is to calculate the data envelopment analysis (DEA) efficiency, and the scale efficiency (SE) of targets, and in order to consider the variability across different samples, a bootstrap scheme has been applied.

The results showed that the DEA bootstrap-based approach can not only select a suitable unit which accords with a port’s actual input capabilities, but also provides a more accurate result. The bootstrapped results indicate that all ports do not need to develop future investments to expand port infrastructure.

The proposed DEA bootstrap-based approach provides useful implications in the robust measurement of port efficiency considering different samples. The study proves the usefulness of this approach as a decision-making tool in port efficiency.

This study is one of the first studies to apply bootstrap to measure port efficiency under the background of the Spain and Portugal case. In the first stage, two models of DEA have been used to obtain the pure technical, and the technical and SE, and both the input-oriented options: constant return scale and variable return scale. In the second stage, the bootstrap method has been applied in order to determine efficiency rankings of Iberian Peninsula container ports taking into consideration different samples. Confidence interval estimates of efficiency for each port are reported. This paper provides useful insights into the application of a DEA bootstrap-based approach as a modeling tool to aid decision making in measuring port efficiency.