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The purpose of this paper was to study responses to traditional food of a country, focusing on emotion-motivational responses by locals and foreigners.

Through an experimental design study, Portuguese and Foreign participants were exposed to both traditional and nontraditional food pictures of a country and asked to evaluate their emotional and motivational responses while physiological responses of electrodermal activity were being continuously recorded. Predisposition factors of body dissatisfaction, food neophobia and food involvement were also evaluated given their potential role in predicting the responses to the visualization of the food pictures.

This study found that local traditional food received a higher positive evaluation than nontraditional food with locals evaluating it even higher than foreigners. Higher feelings of arousal and desire as well as willingness to try in response to traditional food were also found as well as higher feelings of pleasure by locals. However, interestingly, and contrary to expectations derived from previous literature, emotion-motivational responses were not significantly different between locals and foreigners.

To the best of the authors’ knowledge, this research addressed an identified research gap in the literature, being the first one evaluating the autonomic responses of consumers to traditional food by exploring how local and foreign consumers respond to traditional food versus nontraditional food using psychophysiological measures of emotion.

El objetivo principal de esta investigación fue estudiar las respuestas a la comida tradicional de un país, centrándose en las respuestas emoción-motivación de los locales y los extranjeros.

A través de un estudio de diseño experimental, los participantes portugueses y extranjeros fueron expuestos a imágenes de comida tradicional y no tradicional de un país y se les pidió que evaluaran sus respuestas emocionales y motivacionales mientras se registraban continuamente las respuestas fisiológicas de la actividad electrodérmica. También se evaluaron los factores de predisposición de la insatisfacción corporal, la neofobia a la comida y la implicación en la comida, dado su papel potencial en la predicción de las respuestas a la visualización de las imágenes de comida.

Encontramos que la comida tradicional local recibió una evaluación positiva más alta que la comida no tradicional, con los locales evaluándola incluso más alto que los extranjeros. También se encontraron mayores sentimientos de excitación y deseo, así como la voluntad de probar en respuesta a la comida tradicional, así como mayores sentimientos de placer por parte de los locales. Sin embargo, curiosamente, y en contra de las expectativas derivadas de la literatura anterior, las respuestas emocionales-motivacionales no fueron significativamente diferentes entre los locales y los extranjeros.

Esta investigación abordó una brecha de investigación identificada en la literatura, siendo la primera que evalúa las respuestas autonómicas de los consumidores a la comida tradicional al explorar cómo los consumidores locales y extranjeros responden a la comida tradicional frente a la no tradicional utilizando medidas psicofisiológicas de emoción.

本研究的主要目的是研究本地人和外国人对一个国家的传统食物的情感动机反应。

通过实验设计研究, 葡萄牙人和外国参与者会看到一个国家的传统和非传统食物图片, 并被要求评估他们的情绪和动机反应, 同时连续记录皮肤电活动的生理反应。考虑到其他变量在预测对食物图片可视化的反应方面的潜在作用, 还评估了身体不满、食物恐惧症和食物参与的易感因素的影响。

研究结果发现, 当地的传统食物比非传统食物得到了更高的积极评价, 且当地人对它的评价甚至比外国人更高。当地人对传统食物的表现出更高的唤醒, 欲望和尝试意愿, 以及更高的愉悦感。然而, 有趣的是, 与以往文献的预期相反, 当地人和外国人之间的情绪动机反应并没有呈现出明显差异。

这项研究填补了现有文献中的研究空白, 它是第一个通过使用心理生理学的情绪测量方法来探索本地和外国消费者对传统食物与非传统食物的反应, 从而评估消费者对传统食物自主反应的研究。

Social media fatigue (SMF) has been widely recognized; however, previous studies have included various concepts into a single fatigue construct. Fatigue has typically been explored from the stressor-strain-outcome (SSO) or stimulus-organism-response (SOR) perspectives. To further investigate SMF, the authors split it into the two constructs of exhaustion and disinterest. Furthermore, the authors introduced the concept of emotional labor and identified rules that may affect surface and deep acting strategies.

The authors designed and conducted a survey to collect data from social networking platform users.

Results from 364 users of social networking platforms supported most of the authors' hypotheses. First, most of the display rules affect the choice of deep or surface acting. Second, both types of acting lead to exhaustion, but only surface acting leads to disinterest. Third, discontinuance intention is affected by both types of fatigue.

This study contributes to SMF research by adding more antecedents (deep and surface acting) based on the emotional labor perspective and showing the impacts of communication rules on emotional labor. In addition, this study also distinguishes disinterest-style fatigue from exhaustion.

I aimed to obtain a deeper insight into the link between supplier involvement in product development (SIPD), supplier relationship resilience and company performance.

To collect data, a survey among 500 Polish manufacturing companies was conducted. I used quantitative methods (structural equation modeling) to test several research hypotheses referring to a single supplier–customer relationship. Thanks to the use of multi-construct measurement of SIPD and supplier relationship resilience, the study provides detailed research results on the topic.

Collaborative practices implemented during SIPD increase procurement flexibility and decrease redundancy in the relationship with the involved supplier. Communication during SIPD increases supplier flexibility and procurement flexibility. Increased supplier flexibility and increased procurement flexibility in the relationship with the involved supplier as well as collaborative practices during SIPD positively impact company performance. I confirmed the indirect effect between communication during SIPD and company performance when the mediators are supplier flexibility and procurement flexibility. Decreased redundancy in relationship with involved supplier does not impact company performance.

Supply chain managers need to rethink SIPD practice to effectively ensure supply chain resilience (SCRES), especially in the face of the contemporary global crisis and black swans affecting the supplier base. My article provides important managerial insights into drivers of SCRES and company performance.

To the best of my knowledge, this research is among the first to conclude that SIPD does not have an unequivocally positive or direct impact on supplier relationship resilience. The research fills the gap by analyzing the impact of SIPD on two main SCRES elements. The study examines supplier relationship resilience, understood as flexibility and redundancy elements, in a single supplier–buyer relationship perspective. Thus, the presented considerations go beyond the traditional understanding of flexibility and redundancy in supplier relationship management, that is through the prism of double or multi sourcing and having back up-suppliers.

Industrial robots are extensively used in the robotic assembly of rigid objects, whereas the assembly of flexible objects using the same robot becomes cumbersome and challenging due to transient disturbance. The transient disturbance causes vibration in the flexible object during robotic manipulation and assembly. This is an important problem as the quick suppression of undesired vibrations reduces the cycle time and increases the efficiency of the assembly process. Thus, this study aims to propose a contactless robot vision-based real-time active vibration suppression approach to handle such a scenario.

A robot-assisted camera calibration method is developed to determine the extrinsic camera parameters with respect to the robot position. Thereafter, an innovative robot vision method is proposed to identify a flexible beam grasped by the robot gripper using a virtual marker and obtain the dimension, tip deflection as well as velocity of the same. To model the dynamic behaviour of the flexible beam, finite element method (FEM) is used. The measured dimensions, tip deflection and velocity of a flexible beam are fed to the FEM model to predict the maximum deflection. The difference between the maximum deflection and static deflection of the beam is used to compute the maximum error. Subsequently, the maximum error is used in the proposed predictive maximum error-based second-stage controller to send the control signal for vibration suppression. The control signal in form of trajectory is communicated to the industrial robot controller that accommodates various types of delays present in the system.

The effectiveness and robustness of the proposed controller have been validated using simulation and experimental implementation on an Asea Brown Boveri make IRB 1410 industrial robot with a standard low frame rate camera sensor. In this experiment, two metallic flexible beams of different dimensions with the same material properties have been considered. The robot vision method measures the dimension within an acceptable error limit i.e. ±3%. The controller can suppress vibration amplitude up to approximately 97% in an average time of 4.2 s and reduces the stability time up to approximately 93% while comparing with control and without control suppression time. The vibration suppression performance is also compared with the results of classical control method and some recent results available in literature.

The important contributions of the current work are the following: an innovative robot-assisted camera calibration method is proposed to determine the extrinsic camera parameters that eliminate the need for any reference such as a checkerboard, robotic assembly, vibration suppression, second-stage controller, camera calibration, flexible beam and robot vision; an approach for robot vision method is developed to identify the object using a virtual marker and measure its dimension grasped by the robot gripper accommodating perspective view; the developed robot vision-based controller works along with FEM model of the flexible beam to predict the tip position and helps in handling different dimensions and material types; an approach has been proposed to handle different types of delays that are part of implementation for effective suppression of vibration; proposed method uses a low frame rate and low-cost camera for the second-stage controller and the controller does not interfere with the internal controller of the industrial robot.

The majority of existing studies about named entity recognition (NER) concentrate on the prediction enhancement of deep neural network (DNN)-based models themselves, but the issues about the scarcity of training corpus and the difficulty of annotation quality control are not fully solved, especially for Chinese ancient corpora. Therefore, designing a new integrated solution for Chinese historical NER, including automatic entity extraction and man-machine cooperative annotation, is quite valuable for improving the effectiveness of Chinese historical NER and fostering the development of low-resource information extraction.

The research provides a systematic approach for Chinese historical NER with a three-stage framework. In addition to the stage of basic preprocessing, the authors create, retrain and yield a high-performance NER model only using limited labeled resources during the stage of augmented deep active learning (ADAL), which entails three steps—DNN-based NER modeling, hybrid pool-based sampling (HPS) based on the active learning (AL), and NER-oriented data augmentation (DA). ADAL is thought to have the capacity to maintain the performance of DNN as high as possible under the few-shot constraint. Then, to realize machine-aided quality control in crowdsourcing settings, the authors design a stage of globally-optimized automatic label consolidation (GALC). The core of GALC is a newly-designed label consolidation model called simulated annealing-based automatic label aggregation (“SA-ALC”), which incorporates the factors of worker reliability and global label estimation. The model can assure the annotation quality of those data from a crowdsourcing annotation system.

Extensive experiments on two types of Chinese classical historical datasets show that the authors’ solution can effectively reduce the corpus dependency of a DNN-based NER model and alleviate the problem of label quality. Moreover, the results also show the superior performance of the authors’ pipeline approaches (i.e. HPS + DA and SA-ALC) compared to equivalent baselines in each stage.

The study sheds new light on the automatic extraction of Chinese historical entities in an all-technological-process integration. The solution is helpful to effectively reducing the annotation cost and controlling the labeling quality for the NER task. It can be further applied to similar tasks of information extraction and other low-resource fields in theoretical and practical ways.

The purpose of this paper is to investigate user satisfaction with digital health solutions by identifying and prioritizing different service attributes on the basis of their impact on improving user satisfaction.

Through a literature review and interviews with health professionals and patients, 20 attributes of digital health services provided in Italy have been identified. User satisfaction with these attributes has been evaluated by adopting the Kano model’s continuous and discrete analyses.

The findings reveal the essential attributes of digital health services that meet users' expectations, identify the attributes that users appreciate or dislike having and highlight unexpected attributes that lead to a significant boost in satisfaction when provided.

This study demonstrates the efficacy of the Kano model in assessing the nonlinear correlation between user satisfaction and the quality of digital health services, thus contributing to fill a gap in the literature in this area. The main limitation of this work is the use of a non-probabilistic sampling method.

This research suggests healthcare institutions and organizations consider user preferences when designing digital health solutions to increase their satisfaction. The results indicate different effects on user satisfaction and dissatisfaction for different categories of attributes in the Italian context.

Previous works studied customer satisfaction with digital health, assuming a linear relationship with service quality, or investigated consumer adoption intentions focusing on the technological factors. This work advances available knowledge by analyzing the nonlinear relationship between digital health attributes and users’ satisfaction and dissatisfaction.

The present study aims to present the adaptation and validation of the empowering leadership questionnaire (ELQ) for a sample of Brazilian workers (N = 827).

The procedures of items translation, adaptation and back-translation of the original instrument were carried out. Data collection was performed using the snowball method. Data were evaluated with confirmatory factor analysis.

The results showed that the factor structure was maintained as in the portuguese (from Portugal) and English versions (original). Convergent validity was tested using the ethical leadership at work questionnaire (ELW). The analyses showed that the measure has good psychometric qualities, reliability indices and convergent validity results with the ELW.

The ELQ can still be used to identify the presence of empowering leadership (diagnostic phase) and contribute to proposing organizational interventions that lead to healthier and more productive work environments. Its convergent validity with ethical leadership suggests that managers can apply both (empowering and ethical leadership complementarily) to create quality interactions between leaders and team members that increase workers’ autonomy and allow them to respond promptly to organizational challenges.

Using the ELQ can represent an important tool for the theoretical and practical development of studies of empowering leadership with Brazilian samples.

El presente estudio tiene como objetivo presentar la adaptación y validación del Cuestionario de Liderazgo Empoderador (CLE) para una muestra de trabajadores brasileños (N = 827).

Se realizaron procedimientos de traducción de ítems, adaptación y retrotraducción del instrumento original. La recolección de datos se llevó a cabo mediante el método de bola de nieve. Los datos se evaluaron con el Análisis Factorial Confirmatorio (AFC).

Los resultados mostraron que la estructura factorial se mantuvo como en las versiones en Portugal e inglés (original). La validez convergente se probó utilizando el Cuestionario de Liderazgo Ético en el Trabajo (CLET). Los análisis realizados mostraron que la medida tiene buenas cualidades psicométricas, buenos índices de confiabilidad y buenos resultados de validez convergente con el CLET.

El uso del CLE puede representar una herramienta importante para el desarrollo teórico y práctico de estudios de liderazgo empoderador con muestras brasileñas.

El CLE aún puede ser utilizado para identificar la presencia de liderazgo empoderador (fase de diagnóstico) y contribuir a proponer intervenciones que conduzcan a la creación de entornos de trabajo más saludables y productivos. Su validez convergente con el liderazgo ético sugiere que los gerentes pueden aplicar ambos tipos de liderazgo, complementarmente, para crear interacciones de calidad entre líderes y miembros del equipo que aumenten la autonomía de los trabajadores y les permitan responder con prontitud a los desafíos organizacionales.

O presente estudo tem o objetivo de apresentar a adaptação e validação do Questionário de Liderança Empoderadora (QLE) para uma amostra de trabalhadores brasileiros (N = 827).

Foram realizados os procedimentos de tradução, adaptação e retroversão dos itens do instrumento original. A recolha de dados foi realizada utilizando o método bola de neve. Os dados foram avaliados com a Análise Fatorial Confirmatória (AFC).

Os resultados mostraram que a estrutura fatorial se manteve como nas versóes portuguesa e inglesa (original). A validade convergente foi testada com a aplicação do Questionário de Liderança Ética no Trabalho (QLET). As análises realizadas mostraram que a medida possui boas qualidades psicométricas, bons índices de confiabilidade e bons resultados de validade convergente com o QLET.

A utilização do QLE pode representar uma importante ferramenta para o desenvolvimento teórico e prático dos estudos da liderança empoderadora com amostras brasileiras.

O QLE ainda pode ser utilizado para identificar a presença da liderança empoderadora (fase diagnóstica) e contribuir para proposição de intervenções que levem a criação de ambientes de trabalho mais saudáveis e produtivos. Sua validade convergente com a liderança ética sugere que os gestores podem aplicar os dois tipos de liderança, complementarmente, de modo a criar interações de qualidade entre líderes e liderados que aumentem a autonomia dos trabalhadores e permitam que respondam prontamente aos desafios organizacionais.

Few studies have conceptualized how companies can build and nurture international dynamic marketing capabilities (IDMCs) by implementing growth hacking strategies. This paper conceptualizes growth hacking, a managerial-born process to embed a data-driven mind-set in marketing decision-making that combines big-data analysis and continuous learning, allowing companies to adapt their dynamic capabilities to the ever-shifting international competitive arenas.

Given the scarcity of studies on growth hacking, this paper conceptualizes this managerial-born concept through the double theoretical lenses of IDMCs and information technology (IT) literature.

The authors put forward research propositions concerning the four phases of growth hacking and the related capabilities and routines developed by companies to deal with international markets. Additional novel propositions are also developed based on the three critical dimensions of growth hacking: big data analytics, digital marketing and coding and automation.

Lack of prior conceptualization as well as the scant literature makes this study liable to some limitations. However, the propositions developed should encourage researchers to develop both empirical and theoretical studies on this managerial-born concept.

This study develops a detailed compendium for managers who want to implement growth hacking within their companies but have failed to identify the necessary capabilities and resources.

The study presents a theoretical approach and develops a set of propositions on a novel phenomenon, observed mainly in managerial practice. Hence, this study could stimulate researchers to deepen the phenomenon and empirically validate the propositions.

Knowledge is companies’ crucial asset, especially when they are inserted in continuous collaboration and value co-creation. However, problems related to knowledge may occur without proper management, which can compromise the strategic objectives associated with a business collaboration network. Given the presented gap, this study aims to propose and test a business-to-business (B2B) knowledge management (KM) framework focused on value co-creation. Therefore, this study seeks to answer the following guiding questions: what are the main elements that a KM model should present in a context of value co-creation between companies? What are the limitations? What are the advantages and disadvantages? Is there any group that would benefit most from it?

This is an exploratory study grounded on mixed methods, having a qualitative approach (systematic literature review and content analysis) followed by a quantitative approach (exploratory and confirmatory factor analysis), which grounded the proposed framework.

The qualitative approach grounded on the systematic literature review resulting in 38 articles that were submitted to content analysis, which resulted in six record units: active communication between the organization, employees and other stakeholders; documents and organizational knowledge stored; knowledge map; collaborative network; searching tools and database, which provided the KM elements to develop and test the proposed framework by the quantitative approach. The results have shown that the framework may assist in managing knowledge in B2B value co-creation relationships.

As an exploratory study, the chosen research approach used nonprobabilistic for convenience sampling. Therefore, the results may lack generalizability. Thus, researchers are encouraged to use probabilistic sampling techniques to ensure generability. Also, more and better items should be used to upgrade the initial questionnaire, improving it and, by doing so, have a better scale.

Assuming the proposed framework’s effectiveness, company managers can use it to drive knowledge within the network of interested parties to promote cooperative products and services. In addition, due to the theoretical framework’s broad vision, it can serve as a strategic aid to leverage innovation, productivity and competitive advantage. This study also provides an initial instrument that assists in understanding KM elements, which may assist in value co-creation.

It was learned that the elements, tools, concepts and KM preconized solutions can assist in value co-creation. Considering that value assists business performance, and value co-creation is one way to enhance it, furthermore, by knowledge sharing, the value co-creation may occur in the B2B ecosystem. Also, it is the first theoretical KM framework proposed to assist companies to understand better ways that could get advantages on structuring knowledge, meaning mapping it, sharing it through a system that can retain what is needed and release it to the ones that need and have the defined access to receive it.

Most research studies have examined financial inclusion from a supply-side perspective, which measures access and usage of formal financial services by banking outreach indicators, the number of borrowers and the availability of other financial services in a given area. However, this approach is often insufficient to nuance the degree of financial exclusion faced by segments of the population. This study's overall objective is to empirically examine demand-side determinants of financial inclusion.

This research examines the impact of these variables on the level to which an individual is financially included. Notably, the metric employed goes beyond the basic ownership of a bank account and measures the usage of financial services rather than just access. Quantitative data were collected through self-administered surveys targeting 456 individuals in Egypt in order to test the proposed hypotheses. Three different econometric models were tested using regression analysis.

The findings imply an insignificant relationship between financial literacy and financial inclusion. Results suggest that financial exclusion is associated with low trust in financial institutions, low-income level, low education level and being elderly, with a more substantial influence on income and education.

Egypt suffers from a lack of up-to-date demand-side data and data available at hand allow us to know very little about the factors underpinning financial inclusion. This study is contributing demand-side, up-to-date primary data, that provides multiple insights for Egypt regarding the subject, which helps provide answers and suggestions to policy implications.