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This paper proposes a conceptualization of the e-waste domain, formalized through a metamodel, to express complex e-waste realities in a simple manner. This also enables the transition from a structural model to a behavioral model to implement analysis techniques.

The methodology used is design science research (DSR), a problem-solving paradigm which seeks to construct a working artifact and prove its relevance. The artifact, a metamodel for the e-waste domain, was constructed through an iterative manner and later analyzed to conclude its theoretical relevance and contributions in this domain. As part of the approach, the authors used supplementary techniques such as systematic literature review (SLR), conceptual modeling (CM) and system dynamics (SD).

The application in the e-waste domain of CM techniques such as metamodeling, model-to-model transformation and simulation is valuable for supporting decision-making, especially when combined with SD. The approach presented in this paper, the conceptual tools and different simulation techniques could also be applied in other complex domains to obtain similar results.

The modeling method to apply simulation techniques is targeted toward the e-waste domain experts to understand, design, implement, measure and improve strategies and public policies.

The use of CM techniques to model and analyze structural and behavioral e-waste scenarios.

This paper aims to propose a conceptualization of the supply chain resilience domain using conceptual modelling techniques formalized through a metamodel and illustrated through an example.

This research uses conceptual modelling techniques to build and modularize the metamodel, the latter to manage complexity. The metamodel was built iteratively and subsequently instantiated with an example of a yogurt factory to analyse its usefulness and theoretical relevance, and thus its contributions to the domain.

Conceptual modelling techniques can represent a complex domain such as supply chain resilience simply, and the proposed metamodel makes it possible to create models that become valuable decision support tools.

Consolidation and structuring of concepts in the supply chain resilience domain through conceptual modelling techniques.

The purpose of this paper is to propose a minimal dynamic two-dimensional map for the relation between citizens’ perception of quality of life (y) and their perception of the city Mayor management abilities (F).

The authors use data from the Ciudades cómo vamos? project and test a simple hypothesis: there is a linear positive correlation between y and F. Following the authors propose a two-dimensional map based on ideas from a statistical regression model and a non-linear dynamical map on the [0; 1] interval.

The authors give evidence that suggests that y and F are not linearly correlated. The authors show that the two-dimensional map, mentioned above, is able to reproduce non-trivial and unsynchronized relations between the variables, as well as the whole range of correlation coefficients.

There is a very limited amount of data to work with, therefore it was not possible to explore other possible relations thoroughly. Regarding the dynamical map, the authors are aware that there are still many venues for its study.

To the authors’ knowledge, this is the first reported attempt at modeling the dynamics between two variables obtained via survey on which perception is a key component of the questions.

This paper seeks to present a proposal to change the form in which knowledge is produced in Colombia.

Discusses the key issue – to transform the way in which the production of knowledge is currently taking place at the university level.

To be able to increase the production of knowledge in this country there is a need to create bonds among industrial, governmental, and academic institutions. It is believed that this can be done by the development of a system capable of continuously forming researchers at a doctoral level.

The paper puts forward a proposal for the construction of such a system based on the developments of organizational cybernetics. The proposal is based on the concept of autonomy which is crucial to solve this problem.

The paper considers model‐based management and, based on it, proposes a heuristic‐based management. This paper aims to assert that heuristic‐based management, for complex systems, a process of free variation, of pairs of models and actions – called organisational strategies, maximizes the chances of improving the system's performance in open environments.

A conception of complex systems are introduced and characterized as open and self‐organising systems. Then, the proposal to heuristically use pairs of models and actions, called organisational strategies, to manage social systems based on evolutionary thought is supported. Subsequently, a computational experiment is proposed to show that, even in a simple framework, variation processes are required.

The paper shows that two processes may be required to preserve self‐organising systems. This finding indicates that variation and selection processes, related to evolutionary thought, are necessary for managers to deal with complex systems interacting with complex environments. Finally, it is shown that, even in simple computational environments, variation may be required.

The paper is the first part of an ongoing research agenda on the subject of heuristic‐based management and only refers to variation processes.

The paper links complex systems theories to evolutionary thought. It also relates principles of cybernetics to those of game theory. The proposal has been formalized based on these relations, and has been called heuristic‐based management. Principles first developed in information theory, organisational cybernetics, and evolutionary thought are used so that a complex system can be effective when interacting with a complex environment.

The purpose of this paper is to present the formulation of the first exhaustive price index for Argentinian (and other Latin American countries) visual artists using 5,069 works sold in auctions by 71 Argentinian artists during the years 1980-2014.

The authors estimated a regression of hedonic prices using the ordinary least squares method. When the regression was run and the results were analysed, the authors then estimated the annual price index of Argentinian artists’ work to then compare them with different financial and economic variables.

The average annual nominal arithmetic rate of return in dollars for Argentinian art during this period was 6.81 per cent, with a 29.11 per cent standard deviation. Argentinian art shows a low correlation with Argentinian and US companies’ shares and a slightly negative correlation with US bonds. This is the reason for artworks to be included in investors’ portfolios despite the relatively high volatility.

Valuating works of art in Argentina can be explained by a series of their attributes. The benefits of art as an investment should be contrasted with factors including illiquidity and high transaction costs that are inherent when investing in works of art.

Argentinian artists’ works have higher prices when, ceteris paribus, they are dated; they are auctioned in either Christie’s, Sotheby’s, Galería Arroyo, Roldan & Cia, Meeting Art, or Naon & Cia; they are oil or acrylic paintings; they are larger in size – although the price increase is decreasing when the size of the painting increases; and when the artist dies before their work is auctioned.

This work presents the first rigorous price index of Argentinian artists’ works. Additionally, and as far as the authors have been able to observe, the time-period in this article is the longest that has been used in studies on art as an investment in emerging markets.

Este trabajo presenta la elaboración del primer índice exhaustivo de precios de artistas plásticos de Argentina (y de cualquier otro país de Latino América) a partir de 5.069 ventas de obras de 71 artistas argentinos realizadas en subastas durante el período 1980-2014.

Se estimó una regresión de precios hedónica por el Método de Mínimos Cuadrados Ordinarios. Una vez corrida la regresión y analizados sus resultados, se procedió a estimar el índice anual de precios de obras de artistas argentinos, para posteriormente relacionarlos con diversas variables financieras y económicas.

El rendimiento promedio aritmético nominal anual en dólares del arte argentino durante ese período fue de 6,81% con una desviación estándar de 29,11%. El arte argentino exhibe una baja correlación con las acciones de empresas argentinas y de EEUU y ligeramente negativa con bonos de EEUU, lo cual le confiere atributos para ser incluido en las carteras de los inversionistas, a pesar de la elevada volatilidad.

Se consigue que la valoración de arte en Argentina puede ser explicada por una serie de atributos de las obras de arte. Los beneficios del arte como inversión deben ser evaluados con la iliquidez y los elevados costos de transacción, entre otros costos, inherentes a la inversión en obras de arte.

Las obras de artistas argentinos tienen precios más altos cuando, ceteris paribus: están fechadas, se subastan en Christie's, en Sotheby's o en Galería Arroyo, son ejecutadas en óleo o en acrílico, tienen un mayor área, aunque el aumento de precio es decreciente al aumentar el área, y cuando el artista ya había fallecido al momento de celebrase la subasta.

Este trabajo propone el primer índice riguroso de precios de obras de artistas de Argentina. Además, y hasta donde hemos podido comprobar, el período utilizado en este trabajo es el más largo que se haya empleado en estudios del arte como inversión en mercados emergentes.

This chapter presents an analysis of evidence-informed teaching practice in the context of Chilean formal education. The concept of evidence-informed practice (EIP) is tackled from the use of data from standardized assessments of learning by agents of the educational system in Chile, analyzing the relationship between the use of standardized assessments and the institutional characteristics of the educational system.

First, the Chilean educational system is characterized according to its regulation and cohesion, utilizing the Hood's matrix (2000). With the current predominance of accountability regulation with high stakes, the Chilean system presents a high degree of regulation and low cohesion. Then, the main uses of assessments in Chile are described based on the available evidence, with emphasis on the National Assessment System (SIMCE) a high-stakes assessment and an alternative assessment system (SEPA) of low stakes. Thirdly, the institutional theory is applied to analyze the factors that facilitate and obstruct EIP in schools. Finally, the chapter concludes by providing some implications for educational policy and practice.

The purpose of this paper is to explore why innovative service ecosystems scale up, using a service-dominant logic lens. The focus is on identifying the key drivers of the scaling-up process as the basis for a new conceptual framework on the scaling up of service innovations.

An inductive research design is used to zoom in on two innovative service ecosystems, Eataly and KidZania, to identify the key drivers that can explain why innovations scale up. For both companies, the triangulation of semi-structured interviews, archival sources and in-store observations is used as complementary data sets. Multiple investigators and multiple coders have been involved in the data collection, coding process and analysis.

An extended conceptualization of service innovation is obtained, grounded in a framework of four drivers of scaling up: effectuation as the basis for creating the value proposition; sensing and adapting to local contexts; the reconfiguration and alignment of resources and forms for collaboration between actors; and values’ resonance.

This study represents one of the first empirical investigations of the key drivers of the scaling up process of service innovations. The paper contributes with a conceptualization of service innovation and why scaling-up processes emerge, emphasizing the existence of multiple constellations of four drivers.

This paper aims to analyze how emerging market firms upgrade their capabilities by focusing on “uncommoditizing strategies” that enable them to achieve levels of international competitiveness beyond the comparative advantages of their home countries and serve markets with premium pricing, quality and reputation of products.

In this paper, the authors studied 18 Latin American companies across six countries. Latin America represents an ideal setting because many of these countries have traditionally developed using natural resource endowments, and their firms have tended to rely on these in their internationalization. To facilitate the analysis of each case and the comparisons across cases, the authors used the same analytical framework for the companies, identifying the sources of differentiation and cost efficiency strategies that enabled these firms to upgrade their capabilities and compete on the basis of premium pricing, quality and reputation.

The analysis identified a general framework that represents an abstraction of the actions taken by these companies over time. The proposed model consists of three main elements used to pursue uncommoditizing strategies: tropicalized innovation, global efficiency and coordinated control.

Recent research on emerging market firms has shown interest in how these firms upgrade their capabilities. This paper contributes to this stream of research by providing an overarching framework that not only bridged previous narrower studies but also explained how firms can develop uncommoditizing strategies to upgrade their capabilities. Further, this paper helps managers by providing a comprehensive yet succinct overview of the main strategies that they can use to help their firms to achieve international competitiveness.