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Using recent US regional data associated with food system operations, this study aims at building optimization and econometric models to incorporate varying influential factors on food hub location decisions and generate effective facility location solutions.

Mathematical optimization and econometric models have been commonly used to identify hub location decisions, and each is associated with specific strengths to handle uncertainty. This paper develops an optimization model and a hurdle model of the US fresh produce sector to compare the hub location solutions between these two modeling approaches.

Econometric modeling and mathematical optimization are complementary approaches. While there is a divergence between the results of the optimization model and the econometric model, the optimization solution is largely confirmed by the econometric solution. A combination of the results of the two models might lead to improved decision-making.

This study suggests a future direction in which model development can move forward, for example, to explore and expose how to make the existing modeling techniques easier to use and more accessible to decision-makers.

The models and results provide information that is currently limited and is useful to help inform sustainable decisions of various stakeholders interested in the development of regional food systems, regional infrastructure investment and operational strategies for food hubs.

This study sheds light on how the application of complementary modeling approaches improves the effectiveness of facility location solutions. This study offers new perspectives on elaborating key features to encompass facility location issues by applying interdisciplinary approaches.

This study aims to identify how Spanish consumers’ extrinsic preferences for food have evolved by examining the extant literature on food preferences in Spain, focusing on food-related attributes and food-related values.

This study is based on a synthetic review of the extant academic literature on Spanish consumer preferences for food-related attributes and food-related values from the mid-20th to the 21st century. This study uses key economic and social milestones that are most likely to influence food value chain actors to show how consumer preferences have evolved over the study period.

Spanish consumer food attribute preferences expanded as the food sector of the nation continued to grow, and value preferences showed a similar pattern from the mid-20th to the 21st century. The drivers of these preferences were trust, lifestyle, education (campaigns), sociodemographic factors and purchasing power.

Evaluating the extant literature’s contribution to consumer preferences for food-related attributes and values is important because it can aid in understanding the hierarchy and variety of consumers’ food preferences as well as the factors that drive these preferences. To the best of the authors’ knowledge, this study is the first to explore how Spanish consumer preferences evolved between the mid-20th and 21st centuries.

This article examines the training of nine practising teachers and the development of their practical thinking through Lesson Study (LS) at Universidad Nacional de Educación (UNAE). The study therefore aims to describe and understand how this group of teachers might reconstruct their practical knowledge while engaging in the LS experience in a virtual setting.

A case study was conducted with (virtual) field immersion, qualitatively collecting and analysing data through observations, interviews, a focus group and written outputs.

Reconstructions and reinforcements were evident in each of the five dimensions of practical thinking (Soto et al., 2019; Pérez-Gómez, 2022) and in certain knowledge and values, in addition to various skills, attitudes and emotions. The main findings of the study relate to the importance of planning to avoid improvisation, viewing the teaching methodology as a flexible process, developing student autonomy, understanding and managing technological and digital tools and being prepared for uncertain situations.

It is understood that Lesson Study is a strategy that strengthens and enhances understanding of teachers’ knowledge, even in the virtual context and should therefore be considered for the ongoing professional development of teachers in Ecuador.

This study explores whether the unique organizational form of family firms helps to mitigate the negative effects caused by the announcement of product recalls.

The authors use an event study, for a sample of 2,576 product recalls in the United States (US) automobile industry, between January 2010 and June 2021.

The authors found that stock market's reaction to a product recall announcement is less negative for family firms. This superior performance is partially driven by the family firms' long-term investment horizons and higher strategic emphasis on product quality. However, the relationship between family ownership and cumulative abnormal returns around product recall announcements is nonlinear as the impact of family ownership starts by being positive but becomes negative for higher levels of family ownership. The authors also find that family firm's chief executive officer (CEO) and managerial ownership influence positively the stock market reaction to product recall announcements.

This work has several implications for family firms' management as well as for investors and financial analysts. First, as higher managerial ownership is associated with a greater emphasis on product quality, decreasing stock market losses when a product recall occurs, family firms should consider increasing equity-based compensation. Second, as there seems to exist an optimal proportion of family ownership, family firms should consider the risks of increasing too much their ownership share. Third, investors and financial analysts can use the results in the study to help them in their investment and trading decisions in the stock market.

The authors extend the knowledge of product recalls by studying the under-researched role of the flexible, internally focused culture of family businesses on the stock market reaction to product recalls.

This paper aims to compare the efficiency of spatial and nonspatial hedonic price models in capturing housing submarkets dynamics for cities in developing countries. This study expects to contribute to a better understanding of the housing price determinants from both nonspatial and spatial perspectives. In addition, this paper fills a gap in the literature on the study of housing prices from a spatial perspective in Latin American cities.

This study uses a comparative analysis between an ordinary least squares regression and a geographical weighted regression, GWR. The study also assesses the performance of two distinct data sources: the city’s cadastral records and a real estate sales web portal.

The results suggest that compared to the traditional regression model, the spatial regression models are more effective at capturing housing market variations on a fine scale. Moreover, they reveal interesting findings on the spatial varying, sometimes contradictory effects of some housing attributes on housing prices in different areas of the city, suggesting the potential impact from segregation.

The availability of data on housing prices and characteristics in Latin American cities is fragmented and complex. The level of detail, granularity and coverage is not consistent over time. For this reason, this study combines and compares data sets from official and unofficial sources in an effort to close this gap. Likewise, the socioeconomic variables that come from the census must be carefully analyzed, knowing the historical context in which they were constructed, what they represent and their interpretation.

This paper suggests that despite the improvement on the spatial models, the selection of a specific one should always be based on the diagnosis of it as it highly depends on the data used and the objectives of the study.

This study enriches the limited body of literature on spatial hedonic price models of housing in Latin American cities. It also shed light on the importance of spatial approaches to identify complex housing submarkets.

The primary aim of this study is to create a comprehensive model quantifying the maturity levels of key determinants crucial for the sustained success of public sector entrepreneurship (PSE) [social entrepreneurship (SE)]. By integrating social, organizational and technological elements with Max-Neef's human needs, the model offers a holistic perspective for SE measurement. Notably, it emphasizes Max-Neef's existential needs (being, having, doing, interacting) to analyze variables crucial for sustainability, from diverse perspectives within SE.

This study presents a quantitative approach to develop a maturity model for assessing SE based on Max-Neef's human needs. The model integrates social, organizational and technological dimensions, using K-means algorithm for data processing. A panel of experts assigns weights to variables, and the maturity levels are adapted from the Capability Maturity Model. Data from 47 SEs in Ecuador's Zone 6 inform model construction, validated with two textile sector SEs. The methodology comprises three stages: variable selection, model construction and nonprobabilistic sample validation in Zone 6.

The research yields a maturity model enabling the quantification of PSE entrepreneurship maturity over time. It incorporates social, organizational and technological variables with Max-Neef's human needs, providing a broader perspective for SE evaluation. The model allows assessing the maturity level of each determinant, performance per variable in a Likert Scale, and facilitates comparisons between individual entrepreneurship and the overall population or sample. Visualization is enhanced through a color scale based on the Capability Maturity Model.

Limitations may stem from the nonprobabilistic convenience sample used for validation, potentially affecting the generalizability of findings. The model's application is specific to Zone 6 of Ecuador and may require adjustments for broader contexts. Although the K-means algorithm aids data processing, its limitations should be considered. Future research could explore the model's applicability in diverse geographical and sectoral settings for a more comprehensive understanding.

This research has led to the development of a model that quantifies the maturity level of key determinants crucial for the long-term sustainability of PSE. This model integrates elements from social, organizational and technological dimensions, offering a comprehensive framework for assessing SE.

This model offers valuable insights for the development and sustainability of social entrepreneurship by providing a structured approach to measure and enhance key social, organizational and technological determinants. By integrating Max-Neef's framework of human needs, the model helps social enterprises better align their efforts with fundamental human needs, ensuring that initiatives not only address societal challenges effectively but also contribute to long-term social well-being. This approach encourages the development of more resilient and impactful social enterprises that are capable of adapting to diverse socioeconomic contexts.

The model's uniqueness lies in its integration of social, organizational and technological variables with Max-Neef's human needs, offering a nuanced assessment of PSE entrepreneurship determinant factors from a human perspective. By applying existential needs (being, having, doing, interacting) as analysis levels, the model provides a distinctive and insightful approach to evaluating the impact of key variables. Its value lies in identifying strengths and weaknesses in each entrepreneurship, guiding support strategies and informing discussions for constructing effective public policies.

This conceptual, multi-voiced paper aims to collectively explore and theorize family entrepreneuring, which is a research stream dedicated to investigating the emergence and becoming of entrepreneurial phenomena in business families and family firms.

Because of the novelty of this research stream, the authors asked 20 scholars in entrepreneurship and family business to reflect on topics, methods and issues that should be addressed to move this field forward.

Authors highlight key challenges and point to new research directions for understanding family entrepreneuring in relation to issues such as agency, processualism and context.

This study offers a compilation of multiple perspectives and leverage recent developments in the fields of entrepreneurship and family business to advance research on family entrepreneuring.

This study aims to analyze the multicultural consumers’ perceptions multicultural consumers’ perceptions of their experience after participating in online cocreation actions in the fashion industry and the behavioral consequences of that experience.

This research was conducted in Spain and the UK, with 800 active online cocreators, leading to a proposal of a comprehensive model of the cocreation experience and its effects on satisfaction and engagement with the brand and the intention to continue cocreating using a multi-group covariance structural equation model.

All the proposed hypotheses were confirmed. Cocreation activities influence the cocreation experience, which, in turn, generates a positive effect on the behavioral responses of individuals in terms of satisfaction, engagement and future intentions to continue participating in the brand’s cocreation activities. The cocreation patterns are similar in both countries, leading to a comparable behavioral model across different cultural contexts. The findings conclude with relevant recommendations on how brands can improve their globalization strategies.

The practical utility for a fashion retailer arises from acknowledging the different dimensions of the cocreation experience as mechanisms to develop strategies that foster customer participation, thus enhancing satisfaction, brand engagement and advocacy. The results also advocate for the proposition of similar actions across different markets, given the homogeneity of behaviors, likely through global platforms that facilitate participation from different markets toward the creation of global communities.

The significant contribution of this research lies in the detailed proposal for measuring the cocreation experience and its integration into a comprehensive model of the impact of cocreation on classic behavioral variables. Furthermore, the differential analysis across two countries provides the added value of a multicultural evaluation of the phenomenon.

This paper aims to define the efficiency achieved by urban transport companies in Spain concerning the resources they use, considering the type of management used for implementation, public-private, and size.

This study consisted of an analysis of the efficiency of 229 public-private urban transport operators during the period 2012–2021 using Data Envelopment Analysis, the Malmquist Index and inference estimators to determine productivity, efficiency change into Pure Technical Efficiency Change (PTECH), and scale efficiency change.

Based on the efficiency analysis, the authors concluded that of the 229 companies studied, more than 35 were inefficient in all analysed periods. Considering the sample used, direct management is considered significantly more efficient. It cannot be concluded that the size of these companies influences their efficiency, as the data show unequal development behaviours in the studied years.

This study provides arguments on whether there is a significant difference between the two types of management in the urban transport sector. It also includes firm size as a study variable, which has not been previously considered in other studies related to urban transport efficiency. Efficiency should be a crucial factor in determining funding allocation in this sector, as it encourages operators to optimize and improve their services.

This study explores the relationship between innovation and tradition in family firms. By examining how these firms manage the potential tension between these two elements, the study aims to understand better how innovation and tradition coexist and support long-term survival across generations.

This study has a constructivist standpoint and follows a qualitative methodology. By conducting a comparative case study, the data are collected from semi-structured interviews with 10 participants in 4 case companies located in Sweden. The data are analysed using thematic analysis.

This study found that managing the tension between innovation and tradition is carried out through four mechanisms: forward thinking through heritage, paradoxical thinking, operational control and governance. Moreover, the study further shows the great importance of the concept of intergenerational learning in family firms in managing tension.

The findings from this study contribute to the existing literature in family firms concerning managing tradition and innovation by providing a novel conceptualisation of the mechanisms embedded in this process. Moreover, the article proposes a grounded model, which could be used in research and practice when dealing with similar issues.