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The purpose of this paper is to explore the differences in consumers’ preferences to food safety label (FSL) on vegetables in central and south central Chile in terms of sociodemographic characteristics, consumers’ food safety knowledge and frequency of vegetables consumption.

A survey was applied to 1,201 consumers in charge of buying vegetables for their households. The questionnaire measured consumer preference for FSL using tomatoes as a case study.

The most important attributes for consumers were price (57.3 percent), FSL (19.7 percent), point of sale (11.86 percent) and production system (11.07 percent). Cluster analysis was used to differentiate three types of consumers. The majority (50.5 percent) are consumers oriented to price of tomatoes more than other attributes. A second group (30.1 percent) considers it important to purchase tomatoes at the lowest price with the existence of a FSL. A minority (19.4 percent) was oriented to purchasing tomatoes with a FSL. The groups differ according to sociodemographic characteristics, food safety knowledge and frequency of vegetables consumption.

The study was conducted in country in South America. The results revealed that the majority of consumers choose price over FSL. Nevertheless, a potential market niche was identified that was motivated by FSL as a potential risk-reduction strategy when making choices about fresh vegetables purchase.

FSL is a marketing tool to help the consumers about food decisions.

To avoid problems associated to unsafe vegetables, FSL is used as a potential risk-reduction strategy when making choices about fresh vegetables purchase.

The research provides information about a market niche of consumers interested in the existence of an explicit FSL, due to their awareness of the risks associated with the consumption of vegetables. This topic has received little research in Latin American developing countries.

This paper aims to use the proximity approach of economic geography with its spatial dimension (geographic) and their non-spatial dimensions (social, institutional, cognitive and organizational) to shed light on the determinants of business cooperation with other organizations. It is also examined whetherthis cooperation is a determining factor for business innovation (innovation networks), drawing a distinction between technological and non-technological innovations.

The study has a quantitative approach; it analyzes the case of 312 companies in a cluster of agribusinesses in an emerging economy (Chile). The proposal model and its interrelations are tested with exploratory factor analysis, confirmatory factor analysis and structural equation modeling.

The results show that cognitive-organizational proximity is a positive determinant of business cooperation with other organizations, whereas social and institutional proximity are negative determinants. It is also established that business cooperation is a positive determinant of business innovation. It is more relevant in the case of technological innovation unlike non-technological innovations. In addition, it is noted that business cooperation levels are lower in micro-enterprises, a result that differs from developed countries.

For business managers, it is best to cooperate with companies that are similar in terms of cognitive and organizational levels for innovation. At the same time, it is necessary develop strategies to reduce the social and institutional barriers to cooperation, especially in the agribusiness sector.

The contributions of the study are as follows: an in-depth quantitative examination of the relationships of various non-spatial proximities as determinants of business cooperation; an analysis of whether business cooperation with other organizations is a determining factor for business innovation, distinguishing between technological and non-technological innovation; and testing these relationships in the context of agribusiness in an emerging economy such as Chile’s because most of studies are related to high-tech sector and developed economies.

The purpose of this paper is to explore differences in consumers’ willingness to purchase functional foods (FFs) in southern Chile in terms of socio-demographic characteristics, consumer knowledge, and subjective well-being.

A survey was carried out among 400 people in southern Chile. The questionnaire measured willingness to buy FFs with 18 different benefits, knowledge about FFs, socio-demographic characteristics and satisfaction with life and with food-related life.

Two dimensions were found for benefits sought in FFs: disease prevention and improvement of bodily functions. Cluster analysis was used to distinguish three types of consumers. The majority (59.8 per cent) showed a significant disposition to buy FFs that prevent diseases or improve bodily functions. Others (25.8 per cent) were less inclined to buy either type of FF. A minority (14.5 per cent) showed greater disposition to buy FFs which improve bodily functions. The types differ according to the size of family, presence and age of children at home, ethnic origin, education, socio-economic status, knowledge about FFs and satisfaction with life and food-related life.

This study was conducted in the context of only one country in South America. The results reveal a high interest to buy FFs in order to improve bodily functions, and this preference may be associated to lifestyle changes in the population in Latin American countries.

This study provides information on the willingness to buy FFs and relates it to ethnic origin and satisfaction with food-related life. People from ethnic minorities are less inclined to buy FFs. People who are more inclined to buy FFs are more satisfied with their life and their food-related life.

This article is based on the assumption that entrepreneurship improves quality of life (HDI). Its main objective is to establish causal relationships between entrepreneurship variables such as credits, innovation (R&D), business growth, foreign direct investment and the Global Competitiveness Index and how these have influenced a country's development.

To analyse and validate this assumption, relevant information has been extracted about Ecuador (the subject of the study) for the 1998–2017 period. The information has received the respective econometric treatment, through a multivariate estimation by the autoregressive vector (ARV) method that made it possible to establish impulse-response functions.

The results indicate that there is a significant and positive statistical impact between the variables related to entrepreneurship and quality of life (HDI), with the exception of “Innovation”, which is not representative in the model, demonstrating that the investment made at country level in R&D is not sufficient to have an impact on the HDI. It was also determined that promoting entrepreneurship would be useful as this would alter the trend of the variables, making them conducive to increasing the HDI.

This article is one of the few to address this issue. It includes the self-regressive vector model as a key methodology used to evaluate and establish public policies. RVM has provided positive results in the field of economics and can be adopted in the area of entrepreneurship.

El presente artículo se basa en el supuesto de que el emprendimiento mejora la calidad de vida de los individuos (IDH), siendo el objetivo principal establecer relaciones causales entre variables de emprendimiento como: Créditos, Innovación (I + D), Crecimiento Empresarial, Inversión Extranjera Directa e Índice de Competitividad Global; y, como estas han influido en el desarrollo de un país.

Para el análisis y validación del supuesto mencionado anteriormente, se ha extraído información relevante sobre el Ecuador (sujeto de estudio) para el período comprendido entre 1998 y 2017, a los cuales se les ha dado el respectivo tratamiento econométrico, a través de una estimación multivariante por el método de Vectores Autorregresivos (VAR) que permitió establecer funciones de impulso – respuesta.

Los resultados señalan que existe una significativa incidencia estadística entre las variables relacionadas con el emprendimiento y la calidad de vida (IDH) de manera positiva, a excepción de la “Innovación” que no tiene representatividad en el modelo, demostrando que la inversión realizada a nivel país en I + D es insuficiente para impactar el IDH. También se determinó la conveniencia de impulsar el emprendimiento, pues esto cambia la tendencia de las variables haciéndolas favorables para el crecimiento del IDH.

Este artículo es uno de los pocos en abordar esta problemática, además incluye el Modelo de Vectores Autorregresivos como una metodología clave para evaluar y establecer políticas públicas, que ha brindado resultados positivos en el campo de la Economía y que puede adoptarse en la rama del Emprendimiento.

The purpose of this paper is to present the development and implementation of a multiobjective optimization model and information system based on mobile technology, to support decision making in humanitarian logistics operations.

The trade-off between economic and social (deprivation) costs faced by governmental and nongovernmental organizations (NGOs) involved in humanitarian logistics operations is modeled through a Pareto frontier analysis, which is obtained from a multiobjective optimization model. Such analysis is supported on an information system based on mobile technology.

Results show useful managerial insights for decision-makers by considering both economic and social costs associated to humanitarian logistics operations. Such insights include the importance of timely and accurate information shared through mobile technology.

This research presents a multiobjective approach that considers social costs, which are modeled through deprivation functions. The authors suggest that a future nonlinear approach be also considered, since there will be instances where the deprivation cost is a nonlinear function throughout time. Also, the model and information system developed may not be suitable for other humanitarian aid instances, considering the specific characteristics of the events considered on this research.

The inclusion of several types of goods, vehicles, collecting points off the ground, distributions points on the ground, available roads after a disaster took place, as well as volume and weight constraints faced under these scenarios, are considered.

Deprivation costs faced by affected population after a disaster took place are considered, which supports decision making in governmental and NGOs involved in humanitarian logistics operations toward welfare of such affected population in developing countries.

A numerical illustration in the Latin American context is presented, the model and information system developed can be used in other developing countries or regions that face similar challenges toward humanitarian logistics operations.

This study aims to analyze how the interplay between hard and soft elements of total quality management (TQM) produces the conditions for sustaining success in the quest for quality.

A qualitative analysis (Gioia method) was carried out on an original dataset collected through both direct and indirect methods (i.e. archival sources, interviews and observations) to generate a new interpretive framework.

The interpretative framework identifies four categories of elements: trigger elements create the starting conditions for a quality virtuous cycle; benchmarking tools set the standards of performance; improvement tools enable exploration of the space of possible alternative practices and finally, catalytic forces allow the institutionalization of effective techniques discovered in this search process into new standards.

The findings the authors present in this paper are derived by a single case study, limiting the generalizability of our results in other settings.

This study has three implications: first, the design of trigger elements is critical for the success of any TQM initiative; second, the interplay of improvement and benchmarking tools at several levels should be coherent and third, to exploit the potential of TQM, efforts should be devoted to the dissemination of new effective practices by means of catalyzing elements.

The model provides a more specific understanding of the nature and purpose of the hard and soft elements of TQM and the dynamic interaction between the two classes of elements over time.

Smart villages (SVs) have lately attracted considerable attention, but what does the term mean? This literature review aims to explore its ambiguous nature and to identify main theoretical and practical aspects to be further explored in the conceptualisation and implementation of these initiatives.

The analysis draws upon a review of 79 references from the grey and academic literature on SVs, identified through a systematic search of academic databases and snowball sampling.

This review highlights how the definition and characterisation of SVs is currently shaped by disciplinary backgrounds and geographical contexts. SVs are often viewed as the rural version of smart cities or an innovative model for rural development, but there has been little engagement in the literature with other debates around rurality and sustainable development. It is only through engaging with these other debates that a better understanding of the term will emerge.

To the best of the authors’ knowledge, this is the first paper to conduct a systematic review on SVs. In addition to identifying the main trends in the conceptualisations and design of these initiatives, this paper contributes to the academic debate on smart rural development and provides useful recommendations to both policy makers and practitioners.

Earned Value Management (EVM) is a project monitoring and control technique that enables the forecasting of a project's duration. Many EVM metrics and project duration forecasting methods have been proposed. However, very few studies have compared their accuracy and stability.

This paper presents an exhaustive stability and accuracy analysis of 27 deterministic EVM project duration forecasting methods. Stability is measured via Pearson's, Spearman's and Kendall's correlation coefficients while accuracy is measured by Mean Squared and Mean Absolute Percentage Errors. These parameters are determined at ten percentile intervals to track a given project's progress across 4,100 artificial project networks with varied topologies.

Findings support that stability and accuracy are inversely correlated for most forecasting methods, and also suggest that both significantly worsen as project networks become increasingly parallel. However, the AT + PD-ESmin forecasting method stands out as being the most accurate and reliable.

Implications of this study will allow construction project managers to resort to the simplest, most accurate and most stable EVM metrics when forecasting project duration. They will also be able to anticipate how the project topology (i.e., the network of activity predecessors) and the stage of project progress can condition their accuracy and stability.

Unlike previous research comparing EVM forecasting methods, this one includes all deterministic methods (classical and recent alike) and measures their performance in accordance with several parameters. Activity durations and costs are also modelled akin to those of construction projects.

This study proposes a literature review and, based on the findings, the authors develop a conceptual framework, attempting to explain how technology may influence visitor behavior and eventually trade show performance.

The present research explores the role of visitors in the trade show context. The analysis specifically focuses on the variables that influence visitors’ participation at business-to-business trade shows and how their satisfaction and perception can be related to exhibition performance. The authors also take into consideration technological trends that prior to COVID-19 pandemics were slowly emerging in the trade show industry.

The findings highlight a continuity between pre-, at and postexhibition phases. Visitors’ behavior represents a signal of how a trade show is perceived as postexhibition purchases and next visit emerge as signals of an exhibition evaluation in relation to visitors’ perception. Besides being urgent tools for the continuity of the sector due to the pandemics, emerging technological trends can be key elements in understanding visitors’ behavior and in boosting their interest and loyalty toward trade shows.

The paper proposes a conceptual model including top notch and innovative technological trends to improve the understandment of visitors’ behavior. Both practitioners in companies and academics might find the study useful, given the digital uplift generated by the pandemics.

The purpose of this paper is to identify and analyze the strategic decisions, especially those focused on smart governance, that have been implemented by the cities of Buenos Aires (Argentina), Medellín (Colombia) and Mexico City (Mexico) and how they have impacted the Sustainable Development Goals (SDGs).

Using a qualitative approach and a descriptive scope, this manuscript follows a multiple case study methodology that was primarily based on the analysis of archival records and documentation using pattern-matching and cross-case synthesis as analytical techniques.

Observed cities share three main characteristics when implementing smart governance strategies linked to SDG 16: technology-based solutions to solve recent and long-lasting societal problems; broad, diverse and active citizen participation; and a socio-technical approach toward smart governance and SDG 16.

This paper points out the linkages between smart governance and SDGs in emerging markets’ smart cities. The findings of this study indicate the need to promote socio-technical approaches – rather than merely technical perspectives – to achieve SDG 16. Hence, citizen participation, open government and co-creation initiatives are key to the promotion of more inclusive and solid institutions.

The most important contribution of this study is to identify the strategic initiatives developed by three leading smart cities in Latin America from the smart governance point of view and their relationship with the SDGs, which is useful because it contributes to expanding our understanding of smart governance from practical experiences.

El propósito de este manuscrito es identificar y analizar las decisiones estratégicas, especialmente aquellas enfocadas en la gobernanza inteligente, que han sido implementadas por las ciudades de Buenos Aires (Argentina), Medellín (Colombia) y Ciudad de México (México), y cómo han impactado en los Objetivos de Desarrollo Sostenible (ODS).

Utilizando un enfoque cualitativo y un alcance descriptivo, este manuscrito sigue una metodología de estudio de casos múltiples que se basó principalmente en el análisis de registros de archivo y documentación utilizando la comparación de patrones y la síntesis cruzada de casos como técnicas analíticas.

Las ciudades observadas comparten tres características principales al implementar estrategias de gobernanza inteligente vinculadas al ODS 16: soluciones basadas en tecnología para resolver problemas sociales recientes y duraderos; participación ciudadana amplia, diversa y activa; y un enfoque socio-técnico hacia la gobernanza inteligente y el ODS16.

Este documento señala los vínculos entre la gobernanza inteligente y los ODS en el contexto de las ciudades inteligentes de los mercados emergentes. Los hallazgos de este estudio indican la necesidad de promover enfoques sociotécnicos -en lugar de perspectivas meramente técnicas- para el logro del ODS16. Por lo tanto, las iniciativas de participación ciudadana, gobierno abierto y cocreación son claves para la promoción de instituciones más inclusivas y sólidas.

La contribución más importante de este estudio es identificar las iniciativas estratégicas desarrolladas por tres ciudades inteligentes líderes en América Latina desde el punto de vista de la gobernanza inteligente y su relación con los ODS, lo cual es útil porque contribuye a ampliar nuestra comprensión. de gobernanza inteligente a partir de experiencias prácticas.

O objetivo deste manuscrito é identificar e analisar as decisões estratégicas, especialmente aquelas focadas na governança inteligente, que foram implementadas nas cidades de Buenos Aires (Argentina), Medellín (Colômbia) e Cidade do México (México), e como elas impactaram os Objetivos de Desenvolvimento Sustentável (ODS).

Utilizando uma abordagem qualitativa e um escopo descritivo, este manuscrito segue uma metodologia de estudo de casos múltiplos que se baseou principalmente na análise de documentos e registros arquivísticos usando correspondência de padrões e síntese de casos cruzados como técnicas analíticas.

As cidades observadas compartilham três características principais ao implementar estratégias de governança inteligente vinculadas ao ODS16: soluções baseadas na tecnologia para resolver problemas sociais recentes e duradouros; participação cidadã ampla, diversificada e ativa; e uma abordagem sociotécnica para governança inteligente e ODS16.

Este artigo aponta as ligações entre governança inteligente e ODS no contexto das cidades inteligentes dos mercados emergentes. Os resultados deste estudo indicam a necessidade de promover abordagens sociotécnicas – mais do que perspectivas somente técnicas – para o alcance dos ODS16. Assim, a participação cidadã, o governo aberto e as iniciativas de cocriação são fundamentais para a promoção de instituições mais inclusivas e sólidas.

A contribuição mais importante deste estudo é identificar as iniciativas estratégicas desenvolvidas por três cidades inteligentes líderes na América Latina do ponto de vista da governança inteligente e sua relação com os ODS, o que é útil porque contribui para ampliar nosso entendimento de governança inteligente a partir de experiências práticas.