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Supply chain (SC) management is more challenging than ever. Significantly, the pandemic has provoked global and economic destruction that appeared in the manufacturing industry as a “black swan.” Therefore, the purpose of this study was to examine the role of information processing and digital supply chain in supply chain resilience through supply chain risk management.

This study examines SC risk management and resilience from an information processing theory perspective. The authors used data collected from 251 SC professionals in the manufacturing industry, and the authors used a quantitative method to analyze the data. The data was analyzed using partial least squares-structural equation modeling. To confirm the higher-order measurement model, the authors used SmartPLS version 4 software.

This study found that information processing capability (disruptive orientation and visibility in high-order) and digital SC significantly and positively affect SC risk management and resilience. Similarly, SC risk management positively mediates the relationship between information processing capability and digital SC. However, information processing capability was found to have a more substantial effect on SC risk management than the digital SC.

This study has both academic and practical contributions. It contributed to existing information processing theory, and manufacturing firms can improve their performance by proactively responding to SC disruptions by recognizing the pivotal role of study variables in risk management for a resilient SC.

The conceptual model of this study is based on information processing theory, which asserts that synchronizing information processing capabilities and digital SCs allows a firm to deal with unplanned events. SC disruption orientation and visibility are considered risk controllers as they allow the firms to be more proactive. An integrated model of conceptualizing the disruption orientation, visibility (higher-order) and digital SC with information processing theory makes this research novel.

Nuclear power is a stable and reliable energy source that can improve energy structure while reducing carbon emissions, which is of great significance for environmental protection and combating climate change. As a unique industry, it is facing rare development opportunities in China and has broad market prospects. However, the characteristics of technical difficulty, loose organizational structure and uneven regional distribution limit the expansion of the nuclear power industry. This paper aims to a better understanding of the accumulation process for innovation capability from the perspective of network evolution and provides policy guidance for the market development of the nuclear power industry (NPI).

Methodologically, social network analysis is used to explore the co-evolution of multidimensional collaboration networks. First, the development and policy evolution of the NPI is introduced to divide the evolution periods. Then, the authors identify and analyze the core organizations, technologies and regions that promote nuclear power patent collaboration. Furthermore, three levels of collaboration networks based on organizations, technologies and regions are constructed to analyze the coevolution of patent networks in China’s NPI.

The results show that nuclear power enterprises always play the foremost role in the organizational collaboration network (OCN), and the dominance of foreign enterprises is replaced by Chinese state-owned enterprises in the third period. The technology hotspot has shifted from nuclear power plant construction to the control system. The regional collaboration network was initially formed in the coastal areas and gradually moved inland, with Guangdong and Beijing becoming the two cores of the network. The scale of three collaboration networks is still expanding but the speed has slowed down.

In response to the pain points of the NPI, this research focuses on multidimensional collaborative innovation, investigates the dynamic evolution process of collaborative innovation networks in China’s NPI and links policy evolution with network evolution creatively. The ultimate result not only helps nuclear power enterprises integrate innovative resources in complex environments but also promotes industrial upgrading and market development.

GraphQL is a new Open API specification that allows clients to send queries and obtain data flexibly according to their needs. However, a high-complexity GraphQL query may lead to an excessive data volume of the query result, which causes problems such as resource overload of the API server. Therefore, this paper aims to address this issue by predicting the response data volume of a GraphQL query statement.

This paper proposes a GraphQL response data volume prediction approach based on Code2Vec and AutoML. First, a GraphQL query statement is transformed into a path collection of an abstract syntax tree based on the idea of Code2Vec, and then the query is aggregated into a vector with the fixed length. Finally, the response result data volume is predicted by a fully connected neural network. To further improve the prediction accuracy, the prediction results of embedded features are combined with the field features and summary features of the query statement to predict the final response data volume by the AutoML model.

Experiments on two public GraphQL API data sets, GitHub and Yelp, show that the accuracy of the proposed approach is 15.85% and 50.31% higher than existing GraphQL response volume prediction approaches based on machine learning techniques, respectively.

This paper proposes an approach that combines Code2Vec and AutoML for GraphQL query response data volume prediction with higher accuracy.

Over the last two decades, there has been a significant increase in incivility within the higher education sector, potentially due to mounting pressure and demands on academics, both collectively and individually. The effects on various aspects of academia, such as knowledge and learning, however, remain largely unexplored. The purpose of this research is to fill the gap by performing a theoretical trend analysis and subsequently empirically investigating the impact of workplace incivility on research scholars’ learning engagement and knowledge sharing intentions, including the mediating role of self-esteem.

This study uses a three-stage methodological process: first, a thorough theoretical (bibliographic) analysis of scientific publications, using Biblioshiny, to identify the trends of workplace incivility; second, an empirical, qualitative exploration of the emergent themes and subthemes based on 102 in-depth interviews with research scholars, using NVivo 12 Plus; and third, quantitative testing, using 154 responses and structural equation modeling.

The authors verify a visible negative association between incivility and learning engagement, incivility and knowledge sharing intentions as well as self-esteem’s mediating effect on this relationship. Also, the thematic analysis revealed three distinct themes: the type of incivility; reasons for such incidences; and the impact of such incidences on research scholars.

The research bears implications both to theory and practice. Regarding the former, the gravity and graveness of incivility versus knowledge and learning, within the academic workplace environment, are not simply highlighted, but analyzed and refined, with explicit findings of both scholarly and practicable worth; that also provide solid foundations and avenues for future research.

Further to its primary findings, the research contributes to extant knowledge by elucidating and explicating the topic, both theoretically and empirically, as well as by presenting implications for theory and practice. Regarding practical implications, this research sheds light on how to develop an appropriate organizational culture that facilitates learning engagement and increases knowledge sharing intentions, by nurturing the identified explicit and underlying motivators of civility.

The purpose of this study was to comprehend the adoption of artificial intelligence (AI) technology-driven natural large language model (LLM)-based chatbots by customers.

A qualitative research study method was conducted. This was to explore managerial perspectives towards consumer centric technology adoption of AI plus LLM-based chatbots. This was specifically for AI-driven natural LLM-based chatbots services. The author conducted conducted in-depth personal interviews with 32 experts of digital content AI + LLM chatbot services. Thematic content analysis was undertaken to analyse the data.

The advent of natural language processing tools driven by AI technology chatbots has altered human-firm interaction. The research findings indicated that the push-pull-mooring (PPM) factors captured the phenomenon in the most comprehensive way. A total of 15 key factors influencing the adoption of AI technology-driven natural LLM-based chatbots by customers during firm customer interaction were identified in this study by the author. The thematic content analysis unraveled insights regarding transformed consumer adoptions towards AI-driven LLM-based chatbots by means of the PPM framework factors.

The empirical research investigation contributed to the literature on the PPM theoretical framework. This was specifically in the context of adoption of AI technology-driven natural LLM-based chatbots by customers during firm customer interaction.

The research study insights would help managers to restructure and reconfigure their organizational processes. This would neccessiated a shift in firm-customer interactions as demanded because of the availability of AI technology-driven natural LLM-based chatbots by customers.

This research study was based upon the PPM theoretical framework. This study provided a unique analysis of the altered firm customer interaction needs and requirements. This was one of the first studies that applied the framework of PPM theory regarding the adoption of AI technology-driven natural LLM-based chatbots by customers.

A good workplace well-being (WWB) has many positive impacts on individuals and organizations. Prior studies indicate that physical, psychological and social well-being factors positively influence WWB. Nevertheless, it is essential to acknowledge that these factors may exhibit variations across different regions, cultural contexts and workplace environments. Therefore, this study aims to explore and validate the relationships between physical, psychological and social well-being factors and WWB at construction sites across different regions, using Malaysia and India as case studies.

A conceptual model was proposed between physical, psychological and social well-being factors and WWB at construction sites. Then, a questionnaire survey was developed based on the proposed model and distributed to construction industry practitioners in both countries. In total, 316 responses were collected and analyzed using confirmatory factor analysis and multigroup analysis.

The analyses indicate that the proposed model on physical, psychological and social well-being factors and WWB at construction sites is valid. Also, the model has no significant differences between the two countries. Thus, the findings show that the physical, psychological and social well-being factors are similarly affecting WWB at construction sites in both countries.

The originality of the study lies in its holistic and cross-regional examination of WWB at construction sites. The insights gained from this study provide evidence for promoting good health and well-being in the construction industry. Moreover, this study seeks to provide insights that transcend geographical boundaries, offering valuable implications for promoting WWB practices in construction projects worldwide.

This paper aims to elucidate how humorous prompts affect tourists’ heritage responsible behaviors (THRBs).

Three scenario-based experiments were conducted through Credamo (an online survey platform). Studies 1 and 2 used a single-factor (language style: humorous vs serious) between-subject design to test the direct and indirect effects of humorous prompts. Study 3 used a 2 (environmental quality: high vs low) × 2 (language style: humorous vs serious) between-subject design to further reveal the boundary condition (environmental quality) of the humor effect.

The results revealed that humorous (vs serious) prompts better persuade tourists to engage in heritage responsible behaviors (HRBs). Content liking mediates the relationship between humorous prompts and THRBs. Moreover, environmental quality significantly moderates the effect of humorous prompts on THRBs, whereby the persuasive effect of humorous prompts is greater in high environmental quality conditions than in low environmental quality conditions.

Destination management organizations can use humor to reduce tourists’ reactance against prompts for behavioral persuasion. Moreover, it is also important to adapt humorous prompts to changes in environmental quality in a timely manner.

Based on psychological reactance theory, the research confirmed the dominant effect of humorous prompts by using content liking as a mediating variable, providing a new research perspective for research on the regulation of THRBs. Moreover, the authors clarified a boundary condition for the persuasiveness of humorous prompts, which helps reinforce the comprehension of humor persuasion.

本研究旨在厘清幽默提示语如何影响游客遗产责任行为的差异效应与过程机制。

本研究利用见数平台开展了三个情景实验。实验1与实验2采用单因素（语言风格：幽默 vs. 严肃）组间实验设计, 验证了幽默提示语对遗产责任行为的直接与间接效应。实验3采用2（语言风格：幽默 vs. 严肃）×2（环境质量：高 vs. 低）组间实验设计进一步揭示环境质量对幽默提示语效果的调节效应。

相较于严肃提示语, 幽默提示语可更好地说服游客产生遗产责任行为。内容喜爱在幽默提示语与遗产责任行为过程中发挥完全中介作用。此外, 环境质量调节了幽默提示语对遗产责任行为的影响, 即幽默提示语（较严肃提示语）仅在环境质量较高的遗产地中具备优势。

遗产地管理组织可使用幽默来降低游客对提示语的心理逆反程度, 从而达到行为说服的目的。与此同时, 管理者也要根据目的地环境质量及时调整幽默提示语的使用策略。

基于心理逆反理论, 本研究以内容喜爱为中介变量, 证实了幽默提示语的优势说服作用, 为游客遗产责任行为管理的相关研究提供了一个新的理论视角。同时, 本研究厘清了幽默提示语在遗产旅游地中的应用边界, 并强化了对幽默说服的理解。

Esta investigación pretende aclarar cómo afecta el humor al efecto persuasivo de la señalización sobre el comportamiento responsable de los turistas respecto al patrimonio.

Se realizaron tres experimentos basados en escenarios a través de Credamo (una plataforma de encuestas en línea). En los estudios 1 y 2 se utilizó un diseño entre sujetos de un solo factor (estilo de lenguaje: humorístico frente a serio) para comprobar los efectos directos e indirectos de los señalización humorísticos. El estudio 3 utilizó un diseño entre sujetos de 2 (calidad del entorno: alta frente a baja) × 2 (estilo lingüístico: humorístico frente a serio) para revelar con más detalle la condición límite (calidad del entorno) del efecto del humor.

Los resultados revelaron que las señalización humorísticas (frente a las serias) persuaden mejor a los turistas a participar en las HRB. El gusto por el contenido influye en la relación entre los señalización humorísticos y las HRB. Además, la calidad del entorno modera de forma significativa el efecto de los señalización humorísticos sobre los THRB, de modo que el efecto persuasivo de los señalización humorísticos es mayor en condiciones de alta calidad del entorno que en condiciones de baja calidad del entorno.

Las organizaciones de gestión de destinos pueden utilizar el humor para reducir la reacción de los turistas ante las señalización a la persuasión conductual. Además, también es importante adaptar oportunamente las señalización humorísticas a los cambios en la calidad del entorno.

Basándonos en la teoría de la reactancia psicológica, nuestra investigación confirmó el efecto dominante de las señalización humorísticas empleando el gusto por el contenido como variable mediadora, proporcionando una nueva perspectiva para la investigación sobre la regulación de las THRB. Además, aclaramos una condición límite para la persuasión de los señalización humorísticos, lo que ayuda a reforzar la comprensión de la persuasión humorística.

This study examines the impact of university science parks’ (USPs) capabilities on revenue generation and introduces regional innovation as a moderating variable. This study aims to provide insights into enhancing revenue generation and fully leveraging the role of USPs in promoting revenue generation.

This study employs system generalized method of moments (GMM) estimation for 116 universities in China from 2008 to 2020, using hierarchical regression analysis to examine the relationships between variables.

The findings suggest that USPs play a beneficial role in fostering revenue generation. Specifically, the provision of incubation funding demonstrates a positive correlation, while USPs size exhibits an inverted U-shaped pattern, with a threshold at 3.037 and a mean value of 3.712, highlighting the prevalent issue of suboptimal personnel allocation in the majority of USPs. Moreover, the analysis underscores the critical moderating influence of regional innovation, affecting the intricate interplay between USPs size, incubation funding and revenue generation.

The single country (China) analysis relied solely on the use of secondary data. Future studies could expand the scope to include other countries and employ primary data collection. For instance, future research can further examine how regional development and USPs strategic plan impact revenue generation.

The study recommends that USPs managers and policymakers recognize the importance of incubation funding and determine the optimal quantity of USPs size to effectively foster revenue generation in USPs. Policymakers can use regional innovation as a moderating variable to reinforce the relationship between USPs size and incubation funding on revenue generation.

The study’s findings can contribute to the strategic industry growth and economic development of nations by promoting revenue generation. Leveraging the role of USPs and implementing the study’s recommendations can strengthen innovation and technology capabilities, driving strategic industry growth and economic development. This can enhance global competitiveness and promote sustainable economic growth.

This study introduces regional innovation as a moderating variable and provides empirical evidence of its influence on the relationship between USPs size and incubation funding on revenue generation. This adds value to research to the existing literature on USPs and revenue generation by showcasing the importance of examining the regional impact in research and innovation.

The purpose of this study is to determine the competency characteristics required for the employment of master’s degree students in educational technology.

A combined qualitative and quantitative method was used to consult multiple experts through a modified Delphi method. Competency characteristics were extracted from Chinese recruitment apps, national recruitment websites and university training programs. Ten senior teacher experts who teach educational technology master’s students were consulted through a questionnaire consultation to validate the proposed competency model. The weights of competency characteristics were determined through a combination of the analytic hierarchy process and entropy method.

The results show that when recruiting educational technology master’s students, more emphasis is placed on operational skills. The majority of companies tend to assess practical abilities rather than theoretical knowledge. Relevant knowledge of educational technology, psychology, computer science and education is considered to be the basic knowledge components of educational technology master’s students, while professional skills are the core skills required for their positions. Therefore, universities need to focus on training, educational technology graduate students in these areas of competence. The study also found that professional qualities (such as physical and mental fitness) and personality traits (interpersonal communication and interaction) receive more attention from companies and are essential competencies for educational technology master’s students.

A competence model for educational technology master’s students is proposed, which includes aspects such as knowledge, personal skills/abilities, professional qualities and personality traits. The competence elements included in this model can serve as reference indicators for universities to cultivate the competence of educational technology master’s students, as well as reference points for recruiting units to help them select talents. This represents a new dimension in research related to the employment of educational technology master’s students. The study enriches the research objects and competence dictionary in the field of competence research.

The purpose of this study is to explore the moderating effect of Confucian values and the mediating effect of relationship quality on the relationship between organizational justice and employee service orientation in the tourism and hospitality industry.

Structural equation modeling was applied to a sample of 421 responses in a questionnaire survey from employees of tourism and hospitality firms in mainland China.

Employee relationship quality fully mediated the relationship between organizational justice and service orientation. Confucian values negatively moderated the direct effect of organizational justice on employee relationship quality and the indirect effect of organizational justice on service orientation.

This study offers insights for hospitality managers how to improve employee service orientation and establish Confucian values in the practice of organizational justice. Tourism and hospitality organizations should equally treat all employees as internal customers and use distinct strategies to manage employees with high and low Confucian values in employee selection and management of training and development.

This study highlights the contributions of organizational justice and relationship quality to employee service orientation. It also demonstrates that Confucian values explain why many Chinese employees are less sensitive to low fairness: these values negatively moderate the organizational justice–relationship quality–service orientation relations. By linking organizational justice to relationship quality and employee service orientation, the findings enrich our understanding of the applications of internal marketing and social exchange theories under Confucian values.