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The purpose of this paper was to evaluate the efficiency of secondary education schools in Chile. Since the early 1980s, several educational reforms have been passed with the main objective of improving the quality, equity and efficiency of the Chilean education system. This has initiated a debate about the efficient use of public educational resources. In response, this study provides insights into identifying the most efficient types of schools based on a set of different inputs and outputs.

This quantitative research study used data envelopment analysis (DEA), which estimates a single index of efficiency to identify schools performing at superior levels compared to other schools with similar characteristics. Two sets of models are created for evaluating efficiency. The first set of analyses provides a longitudinal efficiency comparison based on student performance on two national standardized tests as outputs, and the second model incorporates socioeconomic characteristics of students attending different schools as inputs in the efficiency estimation.

Based on the longitudinal models, it was found that private schools are more efficient and more consistent in maintaining their efficiency over time than other types of schools. In addition, when accounting for socioeconomic factors, publicly subsidized schools were more efficient than public schools.

The Chilean parliament is currently discussing new educational reforms that focus on more efficient use of educational resources to improve educational quality and equity. The results provided in this study generate useful evidence for policymakers and other stakeholders regarding school efficiency and the appropriate allocation of public resources to support diverse students served by different types of secondary educational institutions.

Education is a key factor affecting social mobility and socioeconomic improvement of societies. Schools are called upon to improve their performance to promote these social goals. Accordingly, more novel forms of research on efficiency are necessary to assess how well schools are transforming their inputs into performance outputs.

This study provides a longitudinal analysis of educational efficiency using DEA with a national data set of Chilean schools to evaluate how consistent the schools are in maintaining their levels of efficiency over time. In addition, one DEA model accounts for a social “vulnerability” index at the student level to better understand how efficiently secondary schools use their resources. The insights gained provide data-driven answers to support more informed educational decision-making and policy processes in Chile.

The purpose of this paper is to assess the research efficiency of the Chilean higher education institutions (HEIs). As it has been argued in the literature, universities in Chile are far from being considered research-oriented institutions. Current governmental reforms have put pressures on the efficient use of public resources, especially, public expenditures in higher education. In response, the proposed data-driven approach can be used to inform educational managers and policy makers about research efficiency. Therefore, a better allocation of the scarce educational resources can be achieved.

Data envelopment analysis is used to assess the research efficiency of a set of Chilean universities. Four models are proposed based on different parameters to cover various drivers of the research productivity.

The paper provides evidence that only a few universities in Chile are efficient in regards to research. Moreover, interesting results in terms of the differences in efficiency between traditional universities and private universities were found. Universities with a mixed-funding structure (private traditional) are more efficient than both public and purely private universities. Additionally, universities that receive direct funds from the government are on average 3.3 times more efficient than private universities. According to the models, only one private university appeared at the top 10 based on the research efficiency ranking.

Current pressures in the funding structures of the higher education system have led to an increased awareness in the utilization of resources. The results provided in this study are useful for guiding a better allocation of public resources and providing insights about efficient funding structures.

An understanding of the current status of research efficiency and the identification of the best performers allows educational managers to improve their resource allocation processes.

The purpose of this paper is to analyze collaboration networks and their patterns among higher education institutions (HEIs) in Chile and the Latin American region. This will provide evidence to educational managements in order to properly allocate their efforts to improve collaboration.

This quantitative study examines collaboration using a social network analysis (SNA) approach. The main source used to quantify collaboration is co-authorship of scholarly publications retrieved from the Web of Science scientific search engine.

The paper provides evidence that there is a low collaboration rate within-country as well cross-country among HEIs in Latin America. The collaboration network in Chile is highly dependent on two institutions; Pontificia Universidad Católica and Universidad de Chile. These institutions are considered leaders of opinion and knowledge facilitators. The density of the whole network is relatively low; only 5 percent of the potential connections exist in the current network.

The main limitation of this paper is that it does not take into account other possible collaborative efforts such as books, manuscripts, or other types of collaboration that do not result in tangible documents. However, co-authorship based on publications has been considered to be a good estimator of collaboration.

Collaboration is critical to promote research and increase its capacity. The approach presented in this study is helpful for educational managers in charge of allocating resources to effectively have an impact on collaboration. Decision makers will benefit from the evidence-based results generated by the SNA framework.

An understanding of the current status of research collaboration in Latin America allows researchers to detect the main areas of opportunity, which in turn serve to improve future decision making in this area.

Despite the scholarly attention for the integration of sustainability within business strategy and processes, little is known about how strategic orientations of companies influence this integration. Drawing on stewardship theory, this paper aims to analyse the influence of strategic orientation of companies on their environmental, social and corporate governance (ESG) performance and the moderating effect of three different political models of economy (Rhine, British and American).

This paper creates a measurement for strategic orientations by using a coding scheme with a five-category evaluation matrix. The main empirical analysis is done by a fixed-effect model with a panel data set covering 179 publicly traded companies over the 2009-2016 period.

The conclusions of this paper present that – consistent over time – a stronger orientation on stewardship positively associates with higher ESG performance. Additionally, the political model of economy significantly alters the relationship indicating the effect of strategic orientation on ESG performance. The relationship is significantly stronger in the Rhine model and significantly weaker in the British model, when both compared to the American model.

The implications of this paper are vital to understanding corporate strategic orientation and its relationship to actual corporate behaviour and long-term performance. Implementing the elements of focus, motivation, commitment, support and communication linked to a stewardship orientation is fundamental to achieve higher levels of sustainability performance.

The main objective of the paper is to develop an investment model using data envelopment analysis (DEA) that provides a decision-making framework to allocate resources efficiently, such that the relative efficiency is improved within an available investment budget.

Firstly, DEA models are used to evaluate the efficiency of the departments relative to their peers and providing benchmarks for the less efficient departments. Secondly, the inefficiencies in departments are identified. Finally, for the less efficient departments, a decision-support system is introduced for optimizing resource allocation to improve efficiency.

Five of the 18 academic departments were determined to be inefficient, and benchmark departments were found for those departments. The most prevalent causes for inefficiency were the number of undergraduate students per faculty and the number of graduate students. Results from the investment model for department 12 suggest increasing the number of faculty by 2 units and H-Index by 0.5 units, thereby, improving the relative efficiency of the department by 6.8% (88%–94%), using $290,000 out of $500,000 investment budget provided.

When an investment budget is available, no study has used DEA to develop a decision-support framework for resource allocation in academic departments to maximize relative efficiency.

Social enterprises are increasingly recognized as a new form of organization (combining social and business goals) providing innovative and scalable solutions to widespread and complex socioenvironmental problems. Yet, they often struggle to keep themselves afloat due to the difficulty in accessing required resources. Networking approaches provide social enterprises with cost-effective ways to fulfill these resource requirements. Such approaches, although useful, give rise to dilemmas while building ties with both financial and non-financial actors. Although much research has been conducted on social enterprise networking or partnerships, little is known about how social enterprises address such dilemmas. This chapter explores how do social entrepreneurs address moral dilemmas while networking with key stakeholders? To answer this question, we analyze the existing literature to understand the networking strategies adopted and the moral dilemmas experienced by the social entrepreneurs. Based on our review of literature, we present four kinds of social enterprises in terms of their networking situations and choices: (1) secluded saints (less known and less connected; high on moral values); (2) secluded devils (less known and less connected; low on moral values); (3) saints waving at the devils (well known and well connected; low on moral values); (4) saints in the pack of devils (well known and well connected; high on moral values). These categories are used to explain how social enterprises with different values, interact with and use their networks for different purposes. We discuss the possible consequences of each strategy and keep the question, how to reach the state of “successful saints,” open for future research. By presenting these different networking situations, our matrix sheds new lights on different social entrepreneurial networking options and their possible outcomes. This can act as a guide and a cautionary note, not only for the social enterprises but also for any hybrid organizations dealing with conflicting networking choices.

There is no clear understanding on the terms and concepts of development, both in the academic literature of tourism and in general. What constitutes “growth”, and what is “development”? The emphasis on mathematical modeling has favored the use of simplifying hypothesis, with dubious practical results for the real problems of development. This chapter discusses the most relevant aspects of theories of development, enunciated at different times in the course of the last two centuries, with the purpose of illuminating different theoretical approaches to analysis and policy formulation that may support actual strategy and practice in tourism.