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The development of regional public brands for agricultural products necessitates compelling narratives that resonate deeply with consumers. Given the distinctiveness of agricultural products, consumers prioritize the inherent connection to roots and heritage when making purchasing decisions. Therefore, crafting brand narratives must emphasize this root appeal, namely, consumers’ information appeal preference, to positively influence consumers’ brand perceptions and underscore the value of regional public brands. This study investigates this phenomenon through the lens of cue utilization theory.

Four experiments were conducted for this purpose. Study 1 examined the stimulus materials for brand story type (typical vs atypical). The purpose of study 2 was to verify whether the experimental material could be used to categorize participants' information appeal preferences (geographic vs cultural). Study 3 employed a between-subjects design with a 2 (brand story: typical vs atypical) × 2 (consumers’ information appeal preferences: cultural vs geographic) factorial design. Study 4 used a between-subjects design of 2 (brand story: typical and atypical) × 2 (consumers’ information appeal preferences: cultural vs geographic) × 2 (culturally derived power perception: individual and social).

The findings indicated that the type of brand story and consumers’ information appeal preferences interact with consumers’ brand attitudes toward regional public brands for agricultural products. In addition, a sense of place was found to mediate the interaction between the type of brand story and consumers’ information appeal preferences. Furthermore, culturally derived power perceptions moderated this mechanism.

This study offers valuable insights into marketing regional public brands for agricultural products by categorizing their brand stories into typical and non-typical narratives.

This study aims to provide a comprehensive overview of thin-film temperature sensors (TTS), focusing on the interplay between material properties and fabrication techniques. It evaluates the current state of the art, addressing both low- and high-temperature sensors, and explores the potential applications across various fields. The study also identifies challenges and highlights emerging trends that may shape the future of this technology.

This study systematically examines existing literature on TTS, categorizing the materials and fabrication methods used. The study compares the performance metrics of different materials, addresses the challenges encountered in thin-film sensors and reviews the case studies to identify successful applications. Emerging trends and future directions are also analyzed.

This study finds that TTS are integral to various advanced technologies, particularly in high-performance and specialized applications. However, their development is constrained by challenges such as limited operational range, material degradation, fabrication complexities and long-term stability. The integration of nanostructured materials and the advancement of wireless, self-powered and multifunctional sensors are poised to drive significant advancements in this field.

This study offers a unique perspective by bridging the gap between material science and application engineering in TTS. By critically analyzing both established and emerging technologies, the study provides valuable insights into the current state of the field and proposes pathways for future innovation in terms of interdisciplinary approaches. The focus on emerging trends and multifunctional applications sets this review apart from existing literature.

This paper aims to propose a novel wheel-based multiaxis force sensor designed to detect the interaction forces and moments between the planetary rover’s wheel and the terrain, thereby assisting the rover in environmental perception.

The authors’ design approach encompasses the mechanical structure design, decoupling methods and component integration techniques, effectively incorporating multiaxis sensors into the forward-sensing wheel. This enables high-precision and high-reliability detection of wheel–terrain interaction forces and torques.

The designed wheel-based multiaxis force sensor exhibits a nonlinearity error of 0.45%, a hysteresis error of 0.56% and a repeatability error of 0.49%, meeting the requirements for practical applications. Furthermore, the effectiveness and stability of the designed wheel-based multidimensional force sensor have been validated through hardware-in-the-loop experiments and full-vehicle model testing.

Unlike previous methods that directly integrate multiaxis sensors into the forward-sensing wheel, the authors have designed the force sensing wheel with consideration of its limited design space and the need for high measurement accuracy. The effectiveness of the designed wheel-based multidimensional force sensor was ultimately validated through static calibration, hardware-in-the-loop experiments and full-vehicle model experiments.

ESG issues are gaining increasing attention from investors, but the environmental, social and governance (ESG) rating disagreement caused by different standards of rating agencies misleads investors' investment decisions. This can lead to an increased risk of stock price crashes, causing turbulence in the financial markets and reducing investors' confidence. The paper investigates whether ESG rating disagreement of the current period increases stock price crash risk and the mechanism to mitigate this impact.

With the sample of the listed companies of Shanghai and Shenzhen Stock Exchanges from 2010 to 2022 this paper examines the impact of ESG rating disagreement itself on stock price crash risk. Moreover, this paper examines the mechanisms by analyzing the moderating effect of distraction of investors; digital economy and corporate intelligence maturity.

This paper finds that ESG rating disagreement itself would amplify the stock price crash risk. When exploring the moderating effect of institutional investors' distraction, digital economic development level and corporate intelligence, the paper found that they would mitigate the impact of ESG rating disagreement on stock price crash risk. The relationship between ESG rating disagreement and stock price crash risk is more pronounced in the context of heavily-polluted, state-owned enterprises (SOEs) and enterprises with star analysts.

Currently, few articles discuss ESG rating disagreement, especially the impact of current ESG rating disagreement on stock price crash risk. This paper focuses on this topic and provides strategies to mitigate the impact of current ESG rating divergence on stock price crash risk.

This study aims to analyze empirically the innovation potential behavior (IPB) in organizations based on a measurement model, which includes capabilities, results and impacts of innovation. This measurement model also considers the conditions of developing and emerging industrial economies (DEIEs).

Based on the assessment of the innovation potential measurement model, an empirical adjustment of structural models: complete (CM-baseline and CM-ICT) and restricted (RM-baseline and RM-ICT), has been carried out. This process has conducted to a behavioral analysis of the determining factors of the innovation potential of organizations considering the conditions of Ecuadorian Information and communication technologies (ICT) sector as a case of DEIE.

The developed behavioral analysis establishes the relationships and influences that determine the innovation potential of the ICT sector under DEIE conditions. The results demonstrate that innovation capabilities (C1, C2, C3 and C4) influence innovation results (R1), and innovation results (R1) also influence innovation impacts (I1).

The empirical analysis of the IPB considering the conditions of DEIE offers valuable insights to innovate. It emphasizes the importance of robust innovation capabilities, structured management processes and the use of information sources to enhance innovation performance.

Few studies about innovation consider structural models and contextual conditions for the analysis of the IPB that could be applied to organizational, sectorial or territorial levels to enhance innovation management.

Analizar empíricamente el Comportamiento del Potencial de Innovación (IPB) en las organizaciones a partir de un modelo de medición, que incluye capacidades, resultados e impactos de la innovación. Este modelo de medición también considera las condiciones de las Economías en Desarrollo Industrial Emergente (DEIE).

Tomando como base la evaluación del modelo de medición del potencial de innovación, se ha realizado un ajuste empírico de los modelos estructurales: completo (CM-baseline y CM-ICT) y restringido (RM-baseline y RM-ICT). Este proceso ha conducido al análisis comportamental de los factores determinantes del potencial de innovación de las organizaciones considerando las condiciones del sector TIC ecuatoriano como un caso de las DEIE.

El análisis comportamental desarrollado establece las relaciones e influencias que determinan el potencial de innovación del sector TIC bajo condiciones de las DEIE. Los resultados demuestran que las capacidades de innovación (C1, C2, C3 y C4) influyen en los resultados de innovación (R1), y los resultados de innovación (R1) a su vez influyen en los impactos de innovación (I1).

El análisis empírico del IPB considerando las condiciones de las DEIE ofrece valiosas perspectivas para innovar. Destaca la importancia de contar con capacidades de innovación robustas, procesos de gestión estructurados y el uso de fuentes de información para mejorar el desempeño de la innovación.

Pocos estudios sobre innovación consideran modelos estructurales y condiciones contextuales para el análisis del IPB que puedan aplicarse a nivel organizacional, sectorial o territorial para mejorar la gestión de la innovación.

Analisar empiricamente o Comportamento do Potencial de Inovação (IPB) nas organizações a partir de um modelo de medição, que inclua capacidades, resultados e impactos da inovação. Este modelo de medição também considera as condições das Economias no Desenvolvimento Industrial Emergente (DEIE).

Tomando como base a avaliação do modelo de medição do potencial de inovação, foi realizado um ajuste empírico dos modelos estruturais: completo (CM-baseline e CM-ICT) e restrito (RM-baseline e RM- TIC). Este processo conduziu à análise comportamental dos fatores determinantes do potencial de inovação das organizações considerando as condições do setor TIC equatoriano como um caso do DEIE.

A análise comportamental desenvolvida estabelece as relações e influências que determinam o potencial de inovação do setor TIC sob as condições do DEIE. Os resultados demonstram que as capacidades de inovação (C1, C2, C3 e C4) influenciam os resultados de inovação (R1), e os resultados de inovação (R1) influenciam sucessivamente os impactos de inovação (I1).

A análise empírica do IPB considerando as condições do DEIE oferece perspectivas valiosas para inovar. Destaca-se a importância de contar com capacidades de inovação robustas, processos de gestão estruturados e o uso de fontes de informação para melhorar o desempenho da inovação.

Poucos estudos sobre inovação consideram modelos estruturais e condições contextuais para a análise do IPB que podem ser aplicados em nível organizacional, setorial ou territorial para melhorar a gestão da inovação.

Existing research on innovation has mainly focused on how to promote technological innovation in megaprojects and management innovation (MI) in megaprojects is still an unknown research field. The purposes of this study are to examine the effect of MI on megaproject performance and how the top management team (TMT) regulatory focus affects the use of MI in projects. At the same time, the moderating effects of project uncertainties are also tested.

On the basis of an explorative/exploitative ambidextrous analysis framework, this study divides MI into two dimensions: explorative and exploitative MI, and integrates the theoretical perspectives of the TMT regulatory focus and project uncertainties into a research model. Taking 314 responses from megaprojects’ TMTs in China as research data, this study empirically tests the above model.

Results show that exploratory MI has a U-shaped relationship with megaproject performance; whereas exploitative MI has an inverted U-shaped relationship with megaproject performance. The TMT promotion focus has a positive effect on exploratory and exploitative MI; and the TMT prevention focus has a negative effect on exploratory MI but has a positive effect on exploitative MI. Project uncertainties have a positive moderating effect on the positive relationship between TMT promotion focus and exploratory MI, whereas it has a negative moderating effect on the negative relationship between the TMT prevention focus and exploratory MI.

By empirically measuring the relationship between two types of MIs and megaproject performance, this study clarifies the differential mechanism of the effect of different MIs on megaproject performance. This study also examines the MI of megaprojects from the perspective of the TMT regulatory focus and expounds how changes in uncertainties affect the relationship between the TMT regulatory focus and MI.

Drought is the primary disaster that negatively impacts agricultural and animal husbandry production. It can lead to crop reduction and even pose a threat to human survival in environmentally sensitive areas of China (ESAC). However, the phases and periodicity of drought changes in the ESAC remain largely unknown. Thus, this paper aims to identify the periodic characteristics of meteorological drought changes.

The potential evapotranspiration was calculated using the Penman–Monteith formula recommended by the Food and Agriculture Organization of the United Nations, whereas the standardized precipitation evaporation index (SPEI) of drought was simulated by coupling precipitation data. Subsequently, the Bernaola-Galvan segmentation algorithm was proposed to divide the periods of drought change and the newly developed extreme-point symmetric mode decomposition to analyze the periodic drought patterns.

The findings reveal a significant increase in SPEI in the ESAC, with the rate of decline in drought events higher in the ESAC than in China, indicating a more pronounced wetting trend in the study area. Spatially, the northeast region showed an evident drying trend, whereas the southwest region showed a wetting trend. Two abrupt changes in the drought pattern were observed during the study period, namely, in 1965 and 1983. The spatial instability of moderate or severe drought frequency and intensity on a seasonal scale was more consistent during 1966–1983 and 1984–2018, compared to 1961–1965. Drought variation was predominantly influenced by interannual oscillations, with the periods of the components of intrinsic mode functions 1 (IMF1) and 2 (IMF2) being 3.1 and 7.3 years, respectively. Their cumulative variance contribution rate reached 70.22%.

The trend decomposition and periods of droughts in the study area were analyzed, which may provide an important scientific reference for water resource management and agricultural production activities in the ESAC. However, several problems remain unaddressed. First, the SPEI considers only precipitation and evapotranspiration, making it extremely sensitive to temperature increases. It also ignores the nonstationary nature of the hydrometeorological water process; therefore, it is prone to bias in drought detection and may overestimate the intensity and duration of droughts. Therefore, further studies on the application and comparison of various drought indices should be conducted to develop a more effective meteorological drought index. Second, the local water budget is mainly affected by surface evapotranspiration and precipitation. Evapotranspiration is calculated by various methods that provide different results. Therefore, future studies need to explore both the advantages and disadvantages of various evapotranspiration calculation methods (e.g. Hargreaves, Thornthwaite and Penman–Monteith) and their application scenarios. Third, this study focused on the temporal and spatial evolution and periodic characteristics of droughts, without considering the driving mechanisms behind them and their impact on the ecosystem. In future, it will be necessary to focus on a sensitivity analysis of drought indices with regard to climate change. Finally, although this study calculated the SPEI using meteorological data provided by China’s high-density observatory network, deviations and uncertainties were inevitable in the point-to-grid spatialization process. This shortcoming may be avoided by using satellite remote sensing data with high spatiotemporal resolution in the future, which can allow pixel-scale monitoring and simulation of meteorological drought evolution.

Under the background of continuous global warming, the climate in arid and semiarid areas of China has shown a trend of warming and wetting. It means that the plant environment in this region is getting better. In the future, the project of afforestation and returning farmland to forest and grassland in this region can increase the planting proportion of water-loving tree species to obtain better ecological benefits. Meanwhile, this study found that in the relatively water-scarce regions of China, drought duration was dominated by interannual oscillations (3.1a and 7.3a). This suggests that governments and nongovernmental organizations in the region should pay attention to the short drought period in the ESAC when they carry out ecological restoration and protection projects such as the construction of forest reserves and high-quality farmland.

The findings enhance the understanding of the phasic and periodic characteristics of drought changes in the ESAC. Future studies on the stress effects of drought on crop yield may consider these effects to better reflect the agricultural response to meteorological drought and thus effectively improve the tolerance of agricultural activities to drought events.

This study proposes a novel algorithm based on the finite volume method for simulating groundwater flows and presents the practical application of this method in geotechnical engineering.

The matrix-free implicit iteration method based on the finite volume method and preconditioning conjugate gradient algorithm was used to discretize and solve the groundwater seepage governing equation. Implicit residual smoothing and GPU parallel techniques were utilized to speed up the computation with the solver.

The new method was assessed and evaluated using benchmark and typical infiltration cases. Both the analytical solutions and solutions of the commercial software GEO-Studio were used to verify the accuracy of the proposed algorithm. The speedup performance of the GPU parallel algorithm was also well reflected.

The results demonstrate that the new algorithm is simple and practical, with fast convergence and high accuracy and can satisfy engineering application requirements.

Blockchain technology (BCT) can play a vital role in manufacturing industries by providing visibility and real-time transparency. With BCT adoption, manufacturers can achieve higher productivity, better quality, flexibility and cost-effectiveness. The current study aims to prioritize the performance metrics and ranking of enablers that may influence the adoption of BCT in manufacturing industries through a hybrid framework.

Through an extensive literature review, 4 major criteria with 26 enablers were identified. Pythagorean fuzzy analytical hierarchy process (AHP) method was used to compute the weights of the enablers and the Pythagorean fuzzy combined compromise solution (Co-Co-So) method was used to prioritize the 17-performance metrics. Sensitivity analysis was then carried out to check the robustness of the developed framework.

According to the results, data security enablers were the most significant among the major criteria, followed by technology-oriented enablers, sustainability and human resources and quality-related enablers. Further, the ranking of performance metrics shows that data hacking complaints per year, data storage capacity and number of advanced technologies available for BCT are the top three important performance metrics. Framework robustness was confirmed by sensitivity analysis.

The developed framework will contribute to understanding and simplifying the BCT implementation process in manufacturing industries to a significant level. Practitioners and managers may use the developed framework to facilitate BCT adoption and evaluate the performance of the manufacturing system.

This study can be considered as the first attempt to the best of the author’s knowledge as no such hybrid framework combining enablers and performance indicators was developed earlier.

This paper aims to explore how nurses stay engaged in their work with the impact of structural empowerment and civility. It delves deeper into how kind, empathetic and respectful behaviours (civility) among colleagues influence the link between structural empowerment and nurses’ engagement.

Data was collected from 580 nurses working in a Public Hospital in the metropolitan area of Lisbon. Self-report questionnaires measuring civility, structural empowerment and engagement were administered. Hayes’ PROCESS macro for mediation analysis in SPSS was used to test the hypothesised model.

Results demonstrated that civility and structural empowerment were positively associated (r = 0.491, p < 0.01) also showing a positive influence on nurses’ engagement (r = 0.492, p < 0.01; r = 0.485, p < 0.01, respectively). Civility was found to partially mediate the association between structural empowerment and engagement (ß = 0.315, 95% CI [0.222, 0.417], 5,000 bootstrap resamples).

Findings from this study may be used for health-care employees and organisations, implying that when nurses perceive themselves as structurally empowered at work within a respectful environment, they experience an enhanced sense of community and involvement in their organization.

To the best of the authors’ knowledge, this is the first attempt in exploring the relationship of combined workplace civility, structural empowerment and engagement in a sample of Portuguese nurses. Future research could substantially increase our understanding of how civility contributes to a positive workplace.

Este artículo explora cómo las enfermeras se mantienen comprometidas (work engagement) en su trabajo con el impacto del empoderamiento estructural y la civilidad. Profundiza en cómo los comportamientos amables, empáticos y respetuosos (civilidad) entre colegas influyen en el vínculo entre el empoderamiento estructural y el work engagement de las enfermeras/os.

Se recogieron datos de 580 enfermeras que trabajaban en un hospital público del área metropolitana de Lisboa. Se administraron cuestionarios de autoinforme que medían la civilidad, el empoderamiento estructural y el work engagement. Se utilizó la macro PROCESS de Hayes para el análisis de mediación en SPSS con el fin de probar el modelo hipotetizado.

Los resultados demostraron que la civilidad y el empoderamiento estructural estaban positivamente asociados (r = 0.491, p < 0.01) mostrando también una influencia positiva en el work engagement de las enfermeras (r = 0.492, p < 0.01; r = 0.485, p < 0.01, respectivamente). Se observó que la civilidad mediaba parcialmente la asociación entre el empoderamiento estructural y el work engagement (β = 0.315, 95% CI [0.222, 0.417], 5,000 resamples bootstrap).

Los resultados de este estudio pueden ser utilizados por los empleados y las organizaciones sanitarias, ya que implican que cuando las enfermeras se perciben a sí mismas como estructuralmente empoderadas en el trabajo dentro de un entorno respetuoso, experimentan un mayor sentido de comunidad e implicación en su organización.

Hasta donde sabemos, este es el primer intento de explorar la relación entre la civilidad en el lugar de trabajo, el empoderamiento estructural y el work engagement en una muestra de enfermeras portuguesas. Futuras investigaciones podrían aumentar sustancialmente nuestra comprensión de cómo el civismo contribuye a un lugar de trabajo positivo.

Este documento explora a forma como os enfermeiras/os se mantêm empenhados e envolvidos (work engagement) no seu trabalho, tendo em conta o impacto do empoderamento estrutural e da civilidade. Aprofunda a forma como os comportamentos de gentileza, empatia e respeito (civilidade) entre colegas influenciam a relação entre o empoderamento estrutural e o work engagement dos enfermeiros.

Foram recolhidos dados de 580 enfermeiros de um Hospital Público da área metropolitana de Lisboa. Foram aplicados questionários de auto-relato para avaliar a civilidade, o empoderamento estrutural e o work engagement. A macro PROCESS de Hayes para análise de mediação no SPSS foi utilizada para testar o modelo hipotético.

Os resultados demonstraram que a civilidade e o empoderamento estrutural estavam positivamente associados (r = 0.491, p < 0.01), mostrando também uma influência positiva no work engagement dos enfermeiros (r = 0.492, p < 0.01; r = 0.485, p < 0.01, respetivamente). Verificou-se que a civilidade medeia, parcialmente, a associação entre a empoderamento estrutural e o work engagement (β = 0.315, 95% CI [0.222, 0.417], 5,000 resamples bootstrap).

Os resultados deste estudo podem ser uteis para os trabalhadores e organizações de cuidados de saúde, implicando que, quando os enfermeiros se consideram estruturalmente capacitados no trabalho num ambiente de respeito, experimentam um maior sentido de comunidade e envolvimento na sua organização.

Até à data, esta é a primeira tentativa de explorar a relação entre civilidade no local de trabalho, empoderamento estrutural e work engagement numa amostra de enfermeiros portugueses. Futuras investigações poderão aumentar substancialmente a nossa compreensão de como a civilidade contribui para um ambiente laboral positivo.