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The purpose of this paper is to overcome the limitations of sensory substitution methods (SSDs) to represent high-level or conceptual information involved in vision, which are mainly produced by the biological sensory mismatch between sight and substituting senses. Thus, provide the visually impaired with a more practical and functional SSD.

Unlike any other approach, the SSD extends beyond a sensing prototype, by integrating computer vision methods to produce reliable knowledge about the physical world (at the lowest cost to the user). Importantly though, the authors do not abandon the typical encoding of low-level features into sound. The paper simply argues that any visual perception can be achieved through hearing needs to be reinforced or enhanced by techniques that lie beyond mere visual-to-audio mapping (e.g. computer vision, image processing).

Experiments reported in this paper reveal that the See ColOr is learnable and functional, and provides easy interaction. In moderate time, participants were enabled to grasp visual information of the world out of which they could derive: spatial awareness, ability to find someone, location of daily objects and skill to walk safely avoiding obstacles. The encouraging results open a door toward autonomous mobility of the blind.

The paper uses the “extended” approach to introduce and justify that the system is brand new, as well as the experimental studies on computer-vision extension of SSDs that are presented. Also, this is the first paper reporting on a terminated, integrated and functional system.

The problem of concurrent thermal and vibration loading has not been thoroughly studied even though it is common in electronic packaging applications. Here we attempt to address such a problem using a damage mechanics based constitutive model. Damage mechanics constitutive model for eutectic Pb/Sn solder alloys is used to simulate the damage effects of concurrent cyclic thermal loads and vibrations on Ball Grid Array (BGA) packages. The model is implemented into the commercial finite element code ABAQUS through its user defined material subroutine capability. For the integration algorithm we have used a return mapping scheme, which dramatically improves the convergency rate as compared to previous implementations of the same model. Results are examined in terms of accumulation of plastic strain within the solder connections. It is shown that the simplistic Miner’s rule can not accurately account for the combined effect of both loadings acting concurrently.

This study analyses whether human resource management (HRM), through the use of four sets of high-performance work policies (HPWPs) (i.e. selection, training, motivation and opportunity policies), mediates the relationship between socioemotional wealth (SEW)—defined as a unique set of nonfinancial family goals—and firm financial performance when family firms face a high-risk context.

Hypotheses were statistically tested using a structural equation modeling (SEM) methodology with a cross-sectional sample of 196 medium-sized and private family firms in a high-risk context in Spain.

The results indicate that the relationship between SEW and financial performance in family firms is fully mediated by the use of HPWPs, especially by training and motivation HR policies. The importance given to preserving SEW influences the use of four sets of HPWPs when family firms show clear evidence of being confronted by a financial decline (i.e. a high-risk context). However, to improve their financial results to avoid the firm's failure and thus the loss of their SEW, only those HR policies that focus on training and motivation made a significant and positive contribution to the firm financial performance.

This study contributes to the literature on family firms and HRM by adopting an alternative theoretical framework to understand how the importance of nonfinancial family goals may affect employee structures and management policies, thereby improving financial performance in family firms.

This paper aims to examine the interrelation between two innovating strategies (product and process) on total factor productivity (TFP) growth and the dynamic linkages between these strategies, for Colombia. The authors first explore whether ex ante more productive firms are those that introduce innovations (the self-selection hypothesis) and if the introduction of innovations boosts TFP growth (the returns-to-innovation hypothesis). Second, the authors study the firm’s joint dynamic decision to implement process and/or product innovations. The authors use Colombian manufacturing data from the Annual Manufacturing and the Technological Development and Innovation Surveys.

This study uses a four-stage procedure. First, the authors estimate TFP using a modified version of Olley and Pakes (1996) and Levinsohn and Petrin (2003), proposed by De Loecker (2010), that implements an endogenous Markov process where past firm innovations are endogenized. This TFP would be estimated by GMM, Wooldridge (2009). Second, the authors use multivariate discrete choice models to test the self-selection hypothesis. Third, the authors explore, using multi-value treatment evaluation techniques, the life span of the impact of innovations on productivity growth (returns to innovation hypothesis). Fourth, the authors analyse the joint likelihood of implementing process and product innovations using dynamic panel data bivariate probit models.

The investigation reveals that the self-selection effect is notably more pronounced in the adoption of process innovations only, as opposed to the adoption of product innovations only or the simultaneous adoption of both process and product innovations. Moreover, our results uncover distinct temporal patterns concerning innovation returns. Specifically, process innovations yield immediate benefits, whereas implementing both product innovations only and jointly process and product innovations exhibit significant, albeit delayed, advantages. Finally, the analysis confirms the existence of dynamic interconnections between the adoption of process and product innovations.

The contribution of this work to the literature is manifold. First, the authors thoroughly investigate the relationship between the implementation of process and product innovations and productivity for Colombian manufacturing explicitly recognising that firms’ decisions of adopting product and process innovations are very likely interrelated. Therefore, the authors start exploring the self-selection and the returns to innovation hypotheses accounting for the fact that firms might implement process innovations only, product innovations only and both process and product innovations. In the analysis of the returns of innovation, the fact that firms may choose among a menu of three innovation strategies implies the use of evaluation methods for multi-value treatments. Second, the authors study the dynamic inter-linkages between the decisions to implement process and/or product innovations, that remains under studied, at least for emerging economies. Third, the estimation of TFP is performed using an endogenous Markov process, where past firms’ innovations are endogenized.

This chapter presents the results of the collective experience of two professors and three students in implementing WebQuests in a preservice English education component. The first part of the chapter provided a definition of WebQuests, situating this particular proposal within the literature on second language education and the Colombian and Latin American contexts. The authors found that the paucity of studies on designing WebQuests, specifically in Latin America, became one of the strengths of their work. The next section situated how implementing WebQuests in this preservice program enabled an expansion of the actual conceptual framework that is currently in place for WebQuests by adding ideas about competences and socio-cultural and critical thinking theories. However, there is an explanation about how WebQuests became a very feasible alternative to respond to the curricular demands of their institution. Next, the authors shared a multi-vocal account, from every author's vantage point, of how they carried out their work with WebQuests. This implementation process generated a series of changes in the way students saw themselves as learners and future teachers, gaining more ownership of the idea of WebQuests beyond a semester assignment. The instructors, as the result of their work, are now thinking of better ways to redefine how they use WebQuests and how they will get their other cohorts involved in collaborative academic efforts. This chapter is, then, not only an account of an experience, but an invitation to think about how to expand the boundaries of preservice teacher education through technological mediation.

The purpose of this chapter is to solve multi-objective formulation for traveling salesman and transportation problems. Computations are based on real data for the road freight transportation of a Spanish company. The company was selected because of its importance in Spanish economy and market. This company is important in the whole country; however, it has its higher importance in the northern part of Spain. The requirements for these models are the minimization of total distance and the CO₂ emissions. To achieve this, it is required to know and carry out the minimization of the total distance traveled by the trucks during the deliveries. The deliveries are going to be executed between the different locations, nodes, in the region, and Elorrio, where the depot is situated. The data have been used to decide the best route in order to obtain a minimization of cost for the company. As it was mentioned earlier, the problems are focused on the reduction of the amount of CO₂ emissions and minimization of total distance; by studying different parameters, the best solutions of route transportation have been obtained. The software used to solve these models is CPLEX solver with AMPL programming language.

The purpose of this chapter is to optimize multi-criteria formulation for green vehicle routing problems by mixed integer programming. This research is about the road freight transportation of a Spanish company of groceries. This company has more power in the north of Spain and hence it was founded there. The data used for the computational experiments are focused in the northern region of Spain. The data have been used to decide the best route in order to obtain a minimization of costs for the company. The problem focused on the distance traveled and the altitude difference; by studying these parameters, the best solution of route transportation has been made. The software used to solve this model is CPLEX solver with AMPL programming language. This has been helpful to obtain the results for the research and some conclusions have been obtained from them.

This study aims to examine how dynamic pricing impacts customer perceptions of restaurants and sentiment toward prices via online reputation metrics. In addition, to deepen the debate on dynamic pricing, a novel definition is drawn by exploring the specific forms of discrimination that can manifest in different industries.

Leveraging a comprehensive data set of restaurant reviews sourced from TripAdvisor, the study focuses on restaurants affiliated with one of the largest groups of restaurants in Spain. We used a quasi-experimental method (difference-in-differences), to study how dynamic pricing strategies influence customers’ perceptions of value based on numerical ratings. Meanwhile, we used a Bidirectional Encoder Representations from Transformers model on the textual component of reviews to dissect the emotional nuances of dynamic pricing.

Results did not reveal a causal impact of dynamic pricing strategies on customers’ perceptions. Moreover, the sentiment analysis shows no heightened negative view after introducing dynamic pricing in restaurants compared to the control group. Contrary to what previous literature suggests, our findings indicate that implementing dynamic pricing does not adversely affect customers’ perceptions or sentiments regarding prices in restaurants.

The quasi-experimental setting of the study presents inherent challenges in establishing causality that require further investigation using controlled experimental settings. Nevertheless, our study reveals that restaurant customers do not perceive dynamic pricing as unfair. This finding is critical for restaurant managers when considering the implementation of dynamic pricing and revenue management strategies. In addition, our study highlights the importance of considering not only numerical ratings but customer sentiment analysis as well. This more holistic approach to assessing the impact of pricing strategies can give restaurant managers a deeper understanding of customer reactions. In addition, a more rigorous definition of dynamic pricing is provided, clarifying its nature and its distinction in using different price discrimination.

This study contributes to the evolving understanding of dynamic pricing strategies’ impact on customers’ perceptions and sentiments in the restaurant industry. It aims to fill the gap in understanding customer reactions to algorithmically determined prices (via revenue management systems such as DynamEat) in this industry. The combination of causal inference and sentiment analysis offers a novel perspective, shedding light on the nuanced connections between dynamic pricing implementation and customers’ emotions.

本研究考察动态定价如何通过在线声誉指标影响顾客对餐厅的感知和对价格的情绪。此外, 为了深化对动态定价的讨论, 通过探索不同行业中可能表现出的具体歧视形式, 提出了一个新的定义。

利用从TripAdvisor获取的餐厅评论的全面数据集, 研究聚焦于与西班牙最大的餐厅集团之一相关联的餐厅。我们采用了准实验方法（差异中的差异）, 研究动态定价策略如何根据数值评分影响顾客对价值的感知。同时, 我们运用BERT模型对评论的文本成分进行分析, 以解析动态定价的情感细微差别。

结果没有揭示动态定价策略对顾客感知产生因果影响。此外, 情绪分析显示, 在餐厅引入动态定价后, 与对照组相比, 没有增加消极观点。与以往文献所述相反, 我们的发现表明, 实施动态定价并不会对顾客对价格的感知或情绪产生负面影响。

研究的准实验设置存在确立因果关系的固有挑战, 需要通过控制实验设置进一步调查。尽管如此, 我们的研究揭示了餐厅顾客不认为动态定价不公平。这一发现对餐厅经理在考虑实施动态定价和收入管理策略时至关重要。此外, 我们的研究强调, 考虑顾客情绪分析和数值评分的重要性。这种更全面的方法评估定价策略的影响, 可以让餐厅经理更深入地理解顾客反应。此外, 提供了一个更严格的动态定价定义, 澄清了其性质及其在使用不同价格歧视中的区别。

本研究对于理解动态定价策略对餐厅行业顾客感知和情绪影响的不断发展有所贡献。它旨在填补对客户对算法确定的价格（通过收入管理系统（RMS）例如DynamEat）在此行业中反应的理解空白。因果推断与情绪分析的结合提供了新的视角, 揭示了动态定价实施与顾客情绪之间微妙的联系。

Este estudio examina cómo la fijación dinámica de precios impacta en las percepciones de los clientes de los restaurantes y en el sentimiento hacia los precios a través de métricas de reputación en línea. Además, para profundizar en el debate sobre la fijación dinámica de precios, se propone una definición novedosa explorando las formas específicas de discriminación que pueden manifestarse en diferentes industrias.

Utilizando un conjunto de datos exhaustivo de reseñas de restaurantes obtenidas de TripAdvisor, el estudio se centra en los restaurantes afiliados a uno de los mayores grupos de restaurantes en España. Empleamos un método cuasiexperimental (diferencias en diferencias) para estudiar cómo las estrategias de precios dinámicos influyen en las percepciones de valor de los clientes basándonos en las calificaciones numéricas. Mientras tanto, empleamos un modelo BERT en el componente textual de las reseñas para desentrañar los matices emocionales de la fijación dinámica de precios.

Los resultados no revelaron un impacto causal de las estrategias de precios dinámicos en las percepciones de los clientes. Además, el análisis de sentimiento no muestra una visión negativa aumentada después de introducir la fijación dinámica de precios en los restaurantes en comparación con el grupo de control. Contrariamente a lo que sugiere la literatura previa, nuestros hallazgos indican que la implementación de precios dinámicos no afecta negativamente las percepciones o los sentimientos de los clientes respecto a los precios en los restaurantes.

La configuración cuasiexperimental del estudio presenta desafíos inherentes para establecer la causalidad que requieren una investigación más profunda utilizando entornos experimentales controlados. Sin embargo, nuestro estudio revela que los clientes de restaurantes no perciben la fijación de precios dinámica como injusta. Este hallazgo es crítico para los gerentes de restaurantes al considerar la implementación de la fijación de precios dinámica y estrategias de gestión de ingresos. Además, nuestro estudio resalta la importancia de considerar no solo las calificaciones numéricas sino también el análisis del sentimiento del cliente. Este enfoque más holístico para evaluar el impacto de las estrategias de precios puede dar a los gerentes de restaurantes una comprensión más profunda de las reacciones de los clientes. Además, se proporciona una definición de fijación de precios dinámica más rigurosa, aclarando su naturaleza y su distinción en el uso de diferentes discriminaciones de precios.

Este estudio contribuye a la comprensión en evolución del impacto de las estrategias de fijación de precios dinámicos en las percepciones y sentimientos de los clientes en la industria restaurantera. Su objetivo es llenar el vacío en la comprensión de las reacciones de los clientes a los precios determinados algorítmicamente (a través de sistemas de gestión de ingresos (RMS) como DynamEat) en esta industria. La combinación de inferencia causal y análisis de sentimientos ofrece una perspectiva novedosa, arrojando luz sobre las conexiones matizadas entre la implementación de la fijación de precios dinámicos y las emociones de los clientes.

The hostile environments in which museums operate force them to be innovative. Most of them have fewer resources and are publicly owned. Because these factors may hinder their innovative potential, this paper aims to propose an open innovation model adapted to this type of organization to improve visitors’ experience.

A qualitative method based on a thematic analysis is carried out. Data sources are: (i) focus group with stakeholders from the destination and (ii) in-depth interviews with museums experts.

This new framework is important because it brings something new to a field that previous research had barely considered. The study of the implementation of open innovation in publicly owned small and medium-sized museums brings to light the growing importance of the relational, organizational, technological and experiential dimensions, their interactions and their main constituent factors.

The study is limited to a specific type of institution, and results should not be extrapolated to other contexts. The construct of open innovation is highly complex, and that advises future research to include other players. Quantitative methods and longitudinal techniques will contribute to tackling new challenges in future research works.

Results are helpful for museum managers and policymakers. Stakeholders improve their comprehension of how an open innovation model works because the paper offers a few guidelines for its active designing. A solid networking based on trust and the emphasis on improving the visitor experience determine making-decision processes.

The paper provides a systemic innovation management model for museums, where there is almost no previous research. It is theoretically supported in the open innovation paradigm, as well as the absorptive capacity framework. The emerging and central role of the experiential dimension constitutes another notable contribution to literature.

The study focused on the impact of microcredit on the short-term finances of microentrepreneurs at the Galerías Shopping Center in San Juan de Pasto, Colombia, from 2019 to 2023.

The design of the paper is empirical-analytical, focusing on the tangible and unique aspects of reality that can be fragmented for measurement. This approach privileges the use of data from the study population’s experience, which is treated analytically through statistics to establish frequencies and correlations between variables. The research involved a structured questionnaire based on bibliographic references and considering the operational framework of the variables, which underwent expert review, necessary adjustments, a pilot test and subsequent validation in 2019 and 2023. The reliability of the instrument was assessed using Cronbach’s alpha, ensuring a reliable indicator when equal to or greater than 0.7 in each analysis period. This methodology aimed to identify practices and how the financial profile influences short term.

The findings from the survey conducted with the microentrepreneurs at Galerías Shopping Center reveal several significant connections to the theoretical framework. The study revealed that many microentrepreneurs relied on their personal funds for business financing, indicating a limited understanding of financial principles. Additionally, a significant portion of microentrepreneurs mitigated investment risk by securing loans from financial institutions, yet none utilized government subsidies like entrepreneurship loans, pointing to a lack of advice. The findings underscore the importance of financial education and suitable financial services for business development.

One limitation of this study is the lack of detailed data on the financial structure of microentrepreneurs' businesses, as well as specific information on interest rates and the terms and conditions of the microcredit used. These limitations may affect the generalization of the results and the comprehensive understanding of the impact of microcredit on the short-term finances of microentrepreneurs. Future research could include a larger sample size and more accurate data on the financial structure of businesses, as well as a detailed investigation of interest rates and terms and conditions of microcredit, to provide a more comprehensive understanding of the financial impacts for microentrepreneurs.

The findings of this study have practical implications for microentrepreneurs in the Galerías Shopping Center. The research emphasizes the need for improved financial knowledge, accounting practices and debt management among microentrepreneurs. It also highlights the importance of financial education and access to suitable financial services for business development. The study’s insights can guide the development of training programs and initiatives aimed at enhancing financial literacy and financial management among microentrepreneurs, leading to more informed decision-making and improved financial outcomes.

From a social perspective, this research contributes to promoting economic development and financial inclusion. By addressing the mismanagement of microcredit by microentrepreneurs and providing insights into their short-term finances, the study aims to foster economic empowerment and sustainable development within communities. The findings underscore the significance of microfinance in driving economic growth, reducing poverty and promoting social inclusion. The research emphasizes the importance of equitable access to financial services, which can contribute to narrowing the gap between the financially excluded population and the conventional financial system.

This research adds originality and value to the academic community by addressing the incidence of microcredit on the short-term finances of microentrepreneurs in the specific context of the Galerías Shopping Center in San Juan de Pasto, Colombia. By characterizing the financial profile of microentrepreneurs, establishing the relationship between microcredit characteristics and the financial profile and proposing an action plan, the study provides valuable insights for decision-making in both the academic and microfinance fields. The research contributes to the existing literature on microfinance and financial inclusion, offering a unique perspective and potential solutions for optimizing the use of microcredit-funded resources by microentrepreneurs.