In this paper, we describe an interactive web application (deaR-shiny) to measure efficiency and productivity using data envelopment analysis (DEA). deaR-shiny aims to fill the gap that currently exists in the availability of online DEA software offering practitioners and researchers free access to a very wide variety of DEA models (both conventional and fuzzy models). We illustrate how to use the web app by replicating the main results obtained by Carlucci, Cirà and Coccorese in 2018, who investigate the efficiency and economic sustainability of Italian regional airport by using two conventional DEA models, and the results given by Kao and Liu in their papers published in 2000 and 2003, who calculate the efficiency scores of university libraries in Taiwan by using a fuzzy DEA model because they treat missing data as fuzzy numbers.

In the framework of data envelopment analysis (DEA), Tone (Eur J Oper Res 130(3):498–509, 2001) introduced the slacks-based measure (SBM) of efficiency, which is a nonradial model that incorporates all the slacks of the evaluated decision-making units (DMUs) into their efficiency scores, unlike classical radial efficiency models. Next, Tone (Eur J Oper Res 143(1):32–41, 2002) developed the SBM super-efficiency model in order to differentiate and rank efficient DMUs, whose SBM efficiency scores are always 1. However, as pointed out by Chen (Eur J Oper Res 226(2):258–267, 2013), some interpretation problems arise when the so-called super-efficiency projections are weakly efficient, leading to an overestimation of the SBM super-efficiency score. Moreover, this overestimation is closely related to discontinuity issues when implementing SBM super-efficiency in conjunction with SBM efficiency. Chen (Eur J Oper Res 226(2):258–267, 2013) and Chen et al. (Ann Oper Res 278(1):101–121, 2019) treated these problems, but they did not arrive to a fully satisfactory solution. In this paper, we review these papers and propose a new complementary score, called composite SBM, that actually fixes the discontinuity problems by counteracting the overestimation of the SBM super-efficiency score. Moreover, we extend the composite SBM model to different orientations and variable returns to scale, and propose additive versions. Finally, we give examples and state some open problems.

This article analyzes whether expenditure on the provision of merit goods, culture, health, education, and sports, by local governments, in medium-sized cities (between 20,000 and 100,000 inhabitants) is tied to the electoral cycle; that is, whether expenditure increases in the run up to an electoral process. Further, we analyze whether the increase in spending on Culture by local governments has any significant effect on the probability of local governments being re-elected. To answer these questions, a database of 350 medium-sized municipalities is used comprising the period 2011 to 2019, when two municipal elections were held in Spain; in 2015 and in 2019. The results confirm that both total spending and spending on culture and sports, are tied to the electoral cycle, while expenditure on other merit goods is not. Moreover, using a logit model, it is confirmed that an increase in culture expenditure has a significant effect on the probability of the government being re-elected. Specifically, a one-third increase in cultural expenditure, as a proportion of total expenditure (e.g., passing from 6% to 8%) at local government level, improves re-election chances by almost 10%.

The relationship between collaboration and innovation in cultural organisations is an emerging topic that has drawn particular attention from scholars and practitioners. The main aim of this study is to assess the role of collaboration in the process of innovation in museum organisations. To achieve this aim, first, we develop a four-domain analytical framework by matching innovation types to cultural production processes to reflect the peculiarities of museum innovation. By applying this framework to the multiple case studies from four Spanish museums, we identify three main motivations (supplementing manpower, compensating for the scarcity of knowledge, improving demand-driven innovation) and four forms of collaboration (teamwork, outsourcing, consortium and conversation) and summarise the different modes of collaboration involved in various domains of production and innovation. An assessment is conducted subsequently to evaluate the effectiveness of existing collaborations in achieving technological and cultural innovation in museums. Finally, a list of implications for museums’ innovation management is presented.

Innovation in arts and cultural sectors is an emerging study. Exploring and identifying driving factors of innovation by arts and cultural organizations can help to understand the implications for innovation management and thus, strengthening the competitiveness of arts and cultural sectors. But the existing literature on this topic usually is subject to some limitations due to the shortage of empirical evidence and overemphasis on technological innovation. To overcome it, this article explored evidence-based determinants of innovation in museums organizations, based on survey data and statistical approach; furthermore, it also extended the scope of innovation from technological to cultural and organizational dimensions. Our findings provide empirical evidence for existing theoretical propositions—some propositions are supported and the others are not. Based on these conclusions, some implications are developed for innovation management in museum organizations.

This article analyses the effect of the teaching-learning methods used in Spanish universities on three measures of educational output: average mark, graduates’ assessment of their professional performance in different dimensions, and their assessment of the acquisition of professional competencies and skills. Multi-level models were used in which graduates (first level) are grouped by field of study (second level). The Class attendance and Written work methods have the most influence on the average mark but influence the graduates’ working future the least, as measured with assessments of professional aspects or competencies. In contrast, Problem-based learning, In-company internships and Practical and methodological knowledge are the methods that bear the most influence on the graduates’ professional careers and their development of specific professional competencies.