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This study aims to explore the relationship between elderly users' trust in public digital cultural services (PDCS) and their intention to use PDCS, and reveal the factors affecting their intentions from the perspective of trust to make recommendations that will increase their intention to use PDCS.

Combined with the trust building model and social exchange theory, this study constructed a conceptual model of elderly users' intention to use PDCS. Data collected from Chinese elderly users who have reached the age of 60 through questionnaire surveys were tested using the structural equation model with partial least squares. Finally, the authors proposed a model of elderly users' intention to use PDCS.

This study finds that elderly users' trust positively affects their intention to use PDCS from two aspects: service features and user features of PDCS. Concerning the service features, system quality directly affects elderly users' trust in PDCS most significantly, followed by information quality and service reputation. Concerning the user features, perceived value has a higher impact on elderly users' trust than that of service features, and information literacy and information quality directly affect perceived value.

This study adds new knowledge to the users' behavior of PDCS and enriches the prior description of PDCS. The recommendations made in this study provide a series of strategies for practitioners and researchers to improve the elderly users' intention to use PDCS and bridge the silver digital divide, which offers new ideas for improving the efficiency of PDCS.

This study aims to empirically investigate how knowledge paradox affects collaboration performance. Knowledge paradox, which arises from the simultaneous need for knowledge sharing and protection, is common in interorganizational collaboration. Using the ambidexterity perspective, this paper aims to reexamine the effect of the knowledge paradox on collaborative performance to explore the moderating roles of structural and contextual ambidexterity.

This study used a sample of 153 firms involved in vertical and horizontal collaboration, collected via questionnaires. Hypotheses were tested using hierarchical regression analysis.

This study demonstrates that the stronger the knowledge paradox is, the higher the potential for value creation. Thus, knowledge paradox has a positive impact on collaborative performance. The functions of structural ambidexterity and contextual ambidexterity strengthen this positive relationship.

This paper not only expands the theoretical application of the knowledge paradox and ambidexterity theory in the context of interorganizational relationships but also provides significant managerial implications. By comprehending the dynamics of the knowledge paradox and the role of ambidexterity, managers can make well-informed decisions to enhance their collaborative performance.

This study investigates the effect of auditing industry specialization (AIS) on the relative derivatives use for earnings management.

The sample chosen in this study comprises 30,599 firm-year observations of Chinese public companies from 2005 to 2018. The sample is divided into two time periods (2005–2013 and 2014–2018) according to the year when IFRS 9 was implemented (IFRS 9, first discussed by the International Accounting Standards Board in March 2008, is based on an expected credit loss model for determining new and existing expected credit losses on financial assets. The definition was completed in July 2014 and implemented in 2018). AIS was gauged with respect to audit firms and individual auditors, and measured by market share in number and scale of clients. Linear regression is adopted to test hypotheses. Moreover, two-stage least square model (2SLS) is used to eliminate the concern of possible endogeneity.

When gauged with respect to client scale, the scale-based AIS constrained the level of derivatives use for earnings management in the first period (2005–2013) while increased the level in the second period (2014–2018). The findings sustain for the analysis of audit firms and that of individual auditors, and for different definitions of AIS.

The positive AIS-IN relation after the adoption of IFRS 9 implies the sacrifice audit independence. This could be indebted to the government policy that favors local audit firms to be comparable to international Big 4 audit firms, and therefore results in competition among local auditors/audit firms in securing number rather than quality of clients.

The data of AIS in China are collected using a Python web crawler.

Building on the core concept of anthropomorphism and the empathy-helping theory, this research aims to examine how product anthropomorphism and buyer usage intentions affect sellers’ pricing in second-hand markets as well as explore the psychological dynamics underlying these effects.

To test the hypotheses, a series of four experiments were conducted. Studies 1a (n = 140) and 1b (n = 140) employed a one-factor (product anthropomorphism: yes vs no) between-subject design and used chi-square analysis. Study 2 (n = 145) and Study 3 (n = 162) employed a 2 (usage intention: protective vs destructive) × 2 (product anthropomorphism: yes vs no) between-subject design and used two-way ANOVA and moderated mediation analysis.

The study found that even when potential buyers with destructive (vs protective) usage intentions offer higher prices, sellers of anthropomorphized (vs non-anthropomorphized) products are less willing to choose them (Studies 1a and 1b). When potential buyers express destructive (vs protective) usage intentions, sellers of anthropomorphized (vs non-anthropomorphized) products are less willing to offer discounts (Study 2), and the lowest price they are willing to accept is higher (Study 3). The level of perceived capacity for pain mediates these effects (Study 3).

These findings offer insights into the application of product anthropomorphism strategies and the second-hand transactions of used anthropomorphized products.

Integrating artificial intelligence and quantitative investment has given birth to various agricultural futures price prediction models suitable for nonlinear and non-stationary data. However, traditional models have limitations in testing the spatial transmission relationship in time series, and the actual prediction effect is restricted by the inability to obtain the prices of other variable factors in the future.

To explore the impact of spatiotemporal factors on agricultural prices and achieve the best prediction effect, the authors innovatively propose a price prediction method for China's soybean and palm oil futures prices. First, an improved Granger Causality Test was adopted to explore the spatial transmission relationship in the data; second, the Seasonal and Trend decomposition using Loess model (STL) was employed to decompose the price; then, the Apriori algorithm was applied to test the time spillover effect between data, and CRITIC was used to extract essential features; finally, the N-Beats model was selected as the prediction model for futures prices.

Using the Apriori and STL algorithms, the authors found a spillover effect in agricultural prices, and past trends and seasonal data will impact future prices. Using the improved Granger causality test method to analyze the unidirectional causality relationship between the prices, the authors obtained a spatial effect among the agricultural product prices. By comparison, the N-Beats model based on the spatiotemporal factors shows excellent prediction effects on different prices.

This paper addressed the problem that traditional models can only predict the current prices of different agricultural products on the same date, and traditional spatial models cannot test the characteristics of time series. This result is beneficial to the sustainable development of agriculture and provides necessary numerical and technical support to ensure national agricultural security.

Focusing on the resource crowding-out effect, this study aims to examine the relationship between an enterprise’s digital transformation and the internalisation of environmental costs.

This paper manually collects environmental cost data and measures corporate digital transformation constructed through a machine learning word vector (Word2Vec) technology approach based on the text information of annual reports (MD&A) for heavily polluting firms.

Corporate digital transformation has a significant inhibitory effect on the internalisation of corporate environmental costs. This is because low-level digital transformation has crowded out cash flows, preventing China’s heavily polluting firms from having the extra capacity needed to internalise environmental costs. This crowding-out effect emerges when companies face problems such as capital shortages, short-term profit pressure and intense market competition. These results have the following important implications.

The research highlights the need for enterprises to align digital transformation and sustainability strategies by strengthening resource endowment and optimising internal resource allocation. This requires effective use of digital technology and a long-term sustainability vision for heavily polluting firms facing environmental policy pressures.

Enterprises should assume more social responsibility and achieve sustainable socioeconomic development. It will also help mitigate the adverse environmental externalities stemming from their operations.

To the best of the authors’ knowledge, this study considers the impact of enterprise digital transformation on the internalisation level of enterprise environmental costs for the first time and uses enterprises’ financial, management, market characteristics and ownership characteristics to analyse the impact mechanism.

This study aimed to determine whether the dimensions of the theory of consumption values (TCV), analyzed collectively or individually, influence the attitudes of millennials who intend to purchase organic products.

The research was quantitative, with a correlational scope and a cross-sectional design, conducted on 509 Peruvian millennials. A questionnaire consisting of 23 questions was administered, with responses quantified using a five-point Likert scale. The results were processed through exploratory factor analysis, confirmatory factor analysis and structural equation modeling using the Statistical Package for Social Sciences (SPSS) 24 and AMOS 24.

The study highlights that environmental attitudes (EAs) are a direct determinant of the purchase intentions for organic products. However, these attitudes are not equally shaped by all the dimensions of the TCV. It demonstrates that functional and social values contribute to the formation of EAs in Peruvian millennials, while emotional, conditional and epistemic values do not. These findings contribute to the body of knowledge by revealing that values most influence the decision-making process of organic product consumers and provide valuable information to improve decision-making for companies that produce and market these products.

The study confirmed that consumption values, considered as a second-order variable or as a single construct, do not influence the attitudes of millennials who intend to purchase organic products. This finding underscores the importance of measuring these dimensions independently.

Este estudio tuvo como objetivo determinar si las dimensiones de la Teoría de los Valores de Consumo, analizadas colectivamente o individualmente, influyen en las actitudes de los millennials que tienen la intención de comprar productos orgánicos.

La investigación fue cuantitativa, con un alcance correlacional y un diseño transversal, realizada en 509 millennials Peruanos. Se administró un cuestionario compuesto por 23 preguntas, con respuestas cuantificadas utilizando una escala Likert de cinco puntos. Los resultados se procesaron mediante Análisis Factorial Exploratorio, Análisis Factorial Confirmatorio y Modelos de Ecuaciones Estructurales utilizando el Paquete Estadístico para Ciencias Sociales (SPSS) 24 years AMOS 24.

El estudio pone en evidencia que las actitudes ambientales son un condicionante directo de las intenciones de compra de productos orgánicos. Sin embargo, estas actitudes no son moldeadas de manera equitativa por todas las dimensiones de la Teoría de Valores de consumo. Demostrando de esta manera que, los valores funcionales y valores sociales contribuyen a la formación de la actitud ambiental en los millennials peruanos, mientras que los valores emocionales, condicionales y epistémicos no lo hacen. Estos hallazgos contribuyen al campo del conocimiento, revelando los valores que mayormente influyen dentro de la toma de decisiones de los consumidores de productos orgánicos y a su vez aporta información valiosa para mejorar la toma de decisiones para la empresas productoras y comercializadoras de este tipo de productos.

El estudio confirmó que los valores de consumo, ya sea considerados como una variable de segundo orden o como un constructo único, no influyen en las actitudes de los millennials que tienen la intención de comprar productos orgánicos. Este hallazgo subraya la importancia de medir estas dimensiones de manera independiente.

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.

This paper aims to investigate the suppression of end-point vibrations in industrial robot systems that exhibit joint flexibility and are subject to external disturbances.

The real-time position tracking error is effectively decomposed by using feedforward control based on a dynamic model. Various proportional-derivative controllers and adapted versions are used to compute real-time compensation torque for different position tracking errors. This approach aims to simultaneously achieve rapid response and stability in the control system, resulting in reduced end vibration in the industrial robot.

Experiments were conducted in torque compensation on a 6R industrial robot platform. Compared to the dynamic model calculate torque feedforward compensation method, the maximum reduction of the root mean square of the position error of each joint reached 77% and the minimum reduction was 36.2%. This enhancement improves the trajectory tracking accuracy and effectively suppresses the end-effector vibration.

An improved torque feedforward compensation method is proposed and verified. According to the experimental results, the method can effectively suppress vibration and further improve the trajectory tracking accuracy.

The level of corruption in Nigeria is very high, and this has grossly reduced the desired confidence and trust in the nation’s political leaders and political institutions. It is even worse to the extent that many of its citizens, especially in the medical profession, lecturers and other specialties, are leaving the country altogether because they have already lost hope in the country called Nigeria. Therefore, the purpose of this study is to investigate how political trust in Nigeria is affected by perceived corruption and to ascertain how social media use functions in this relationship.

Because this study is quantitative in nature, a positivist research philosophy is being used. A cross-sectional research design was used in this study. 14.1 million voters in north-central Nigeria are the study’s population, and a sample size of 385 was determined through an online sample size calculator with a 2% margin of error and a 95% confidence interval. The population was divided into smaller units for the study, and samples were selected from each unit using multistage sampling and simple random sampling techniques. An online self-administered questionnaire was used through the various social media’s platforms because of the nature of the study’s population to collect data. To examine the gathered data, descriptive and inferential statistics were applied. While inferential statistics were used to test the hypotheses through partial least squares structural equation modeling, descriptive statistics were used to analyze the respondents’ demographic data via a frequency table.

This study’s findings showed that social media use mediates the relationship between perceived corruption and political trust in Nigeria and that perceived corruption positively and significantly affects political trust in Nigeria.

This study is not without its limitations. Therefore, the few limitations of the study range from the limited sample sample to the population of Nigeria. Also, using only the quantitative research method for the nature of this research is another major limitation of the study. And lastly, using one out of the six zones in Nigeria will make it difficult to generalize the findings of the study. However, it is then recommended that future researchers consider a larger population than the current study for proper coverage; the future study can also use both the quantitative and qualitative research methods.

The practical implications of understanding how social media shapes political trust among political leaders through the lens of perceived corruption in the Nigerian political system are dimensional and have implications for various stakeholders, including policymakers, political leaders, media professionals and the general public. First, for policymakers and political leaders, the findings offer insights into the importance of proactive and transparent communication on social media. Recognizing the impact of social media on shaping perceptions of corruption, political figures such as the office of the presidency, senators, governors and all other political office holders can leverage these platforms to engage people.

This study is innovative because it examines, through the lens of perceived corruption, how social media use influences political trust among political leaders. This approach provides a new look at the relationship between digital engagement and political attitudes.