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National identity has a profound impact on building a modern state, maintaining social stability and promoting economic development. Based on three waves of data collected from the World Values Survey (WVS) in Hong Kong between 2005 and 2018, this study aims to examine the changes in the national identity awareness of Hong Kongese over time.

The data used in this paper originate from the WVS. The WVS is a cross-country time-series survey that has been carried out in seven waves in 85 countries around the world, since 1981. There are three waves of data involving Hong Kong, which were obtained from the surveys in 2005, 2014 and 2018.

This study examined the changes in the national identity awareness of Hong Kongese over time and found that this has shown both continuity and rupture. Extreme groups lacking national identity have emerged and become more common over the decades and the elites’ national identity is much stronger than that of the lower and middle classes. It also shows that political trust, social capital, subjective well-being and possession of authoritarian personality have strong explanatory power for the changes in Hong Kongese national identity over time, but their explanatory strength varies across eras.

Based on three waves of surveys conducted by the WVS in Hong Kong in 2005, 2014 and 2018, respectively, this paper charts these changes over time and explores the differences in how they are influenced by political trust, social capital, subjective well-being and authoritarian personality.

Although prior research has highlighted the importance of foreign direct investment (FDI) on a country’s internationalization, it has largely focused on developed countries. As a result, the FDI performance of a developing country, which differs fundamentally from that of developed countries in their environment, remains unclear. Under the newly development environment, the traditional FDI theories have been challenged by the increasing investments from emerging and transition economies. The theory system needs a fresh situation’s supplement urgently.

On the basis of a literature review, this paper constructed an empirical model to further study the moderating effects of context-specific factors on the influence of inbound foreign direct investment (IFDI) on outbound foreign direct investment (OFDI). China was chosen as the representation of a developing country, and its data of mutual investments with 125 countries from 2003 to 2014 were used to carry out hypothesis testing.

The analysis and results of this paper suggested: first, for China, the overall influence of IFDI on OFDI is positive. That is to say, IFDI’s positive spillover effect is greater than the negative competition effect. Second, innovational distance’s effect on FDI is complicated. It can either be positive or negative, which calls for further investigation. Third, economic distance negatively affects OFDI and negatively moderates IFDI’s effect on OFDI, especially the export. To some extent, the moderating effect that resulted from the competition effect will reduce overseas investment by extruding some of the local enterprises. Fourth, cultural distance’s effect is closely related to the spillover effect that will positively moderate IFDI’s influence on OFDI.

This paper enriched the international investment theoretical system by adding a mechanism of multiway international investment of a developing country. The research also has a guiding significance for developing countries’ governments in coordinating mutual international investments. Also, these results have important implications for how policymakers promote OFDI and put forward new theoretical avenues for conceptualizing the internationalization process.

The widespread use of artificial intelligence (AI) technology in the hospitality industry has triggered concerns among frontline service employees about their future careers, namely, AI awareness. This study aims to explore whether AI awareness influences frontline service employees’ silence through psychological contract breach and whether this process is contingent on frontline service employees’ moral identity, drawing on social exchange theory and moral identity theory.

The data were collected from 355 frontline service employees in Chinese hotels using a two-wave survey. SPSS macro PROCESS Model 58 was used to test the proposed hypotheses.

AI awareness increases frontline service employees’ silence by prompting psychological contract breach. This process is moderated by frontline service employees’ moral identity. Specifically, moral identity mitigates the effect of psychological contract breach on silence.

Organizations and managers should pay attention to the impact of AI on frontline service employees and take measures to help them better adapt to the rapidly changing work environment. In particular, it helps reduce frontline service employees’ silence by fostering positive attitudes toward AI, maintaining their psychological contracts and developing their moral identities.

This study enriches the research on the outcomes of AI awareness by directing our attention to frontline service employees’ silence. Moreover, this study not only explores the responses to AI awareness that frontline service employees make as “economic persons” but also examine whether they, as “moral persons,” regulate their responses contingent on their moral identity under the impact of AI. Exploring frontline service employees’ dual identities helps bring this research closer to the realities of managerial practice, thereby contributing to a better understanding and management of their complex responses to AI shocks.

This paper aims to realize an in-situ quality inspection system rapidly for new injection molding (IM) tasks via transfer learning (TL) approach and automation technology.

The proposed in-situ quality inspection system consists of an injection machine, USB camera, programmable logic controller and personal computer, interconnected via OPC or USB communication interfaces. This configuration enables seamless automation of the IM process, real-time quality inspection and automated decision-making. In addition, a MobileNet-based deep learning (DL) model is proposed for quality inspection of injection parts, fine-tuned using the TL approach.

Using the TL approach, the MobileNet-based DL model demonstrates exceptional performance, achieving validation accuracy of 99.1% with the utilization of merely 50 images per category. Its detection speed and accuracy surpass those of DenseNet121-based, VGG16-based, ResNet50-based and Xception-based convolutional neural networks. Further evaluation using a random data set of 120 images, as assessed through the confusion matrix, attests to an accuracy rate of 96.67%.

The proposed MobileNet-based DL model achieves higher accuracy with less resource consumption using the TL approach. It is integrated with automation technologies to build the in-situ quality inspection system of injection parts, which improves the cost-efficiency by facilitating the acquisition and labeling of task-specific images, enabling automatic defect detection and decision-making online, thus holding profound significance for the IM industry and its pursuit of enhanced quality inspection measures.

As a new human resource management practice, developmental idiosyncratic deals (developmental I-deals) play an important role in attracting, retaining and motivating employees to promote creativity. Based on the social cognitive theory, the purpose of this study is to examine the impact of developmental I-deals on team creativity through team creative-efficacy and the moderating role of error management atmosphere in this process.

To reduce the effects of common method biases and causal lag effect, this study was divided into three stages for data collection, with a time interval of a month. A total of 365 employee samples (72 team samples) from seven internet enterprises in Shanghai and Wuhan were selected, and Bootstrap method and Johnson-Neyman method were used to test the hypothesis.

The results of this study show that developmental I-deals positively affect team creativity, and team creative-efficacy mediates the relationship between developmental I-deals and team creativity. Error management atmosphere strengthens the impact of developmental I-deals on team creative-efficacy and further strengthens the indirect effect of developmental I-deals on team creativity through team creative-efficacy.

Based on the social cognitive theory, this study examines the impact of developmental I-deals on team creativity through team creative-efficacy and the moderating role of error management atmosphere in this process. First, the study of I-deals category was further refined. The existing research defines the concept of I-deals in a general way and does not classify it in detail. Second, the internal mechanism of I-deals is revealed. Third, it expands the multi-level research of I-deals.

Drawing on the social exchange theory, this study examines the impact of self-sacrificial leadership on employee creativity and explores the mediating role of employees' creative process engagement and shared vision, along with the multilevel moderating role of shared vision.

The data were collected from 78 R&D teams, and hierarchical linear model and bootstrapping analysis outlined by Hayes were used to test the hypotheses.

Self-sacrificial leadership exerted a significantly positive impact on employee creativity, employees' creative process engagement and shared vision, whereas employees' creative process engagement and shared vision mediated the relationship between self-sacrificial leadership and employee creativity, respectively. Moreover, shared vision significantly moderated the relationship between employees' creative process engagement and employee creativity, such that the higher the shared vision, the stronger the relationship between employees' creative process engagement and employee creativity.

Organizations and managers should provide leadership development training programs, such as leadership skills and abilities, to exhibit their self-sacrificing behaviors. Besides, while team leaders set an example for employees, in turn, spurring employees' creative process engagement, they should also elucidate the team/organization mission, amplify the publicity and employees' understanding of the mission.

This study advances the self-sacrificial leadership and creativity literature by establishing employees' creative process engagement and shared vision as crucial mediators and shared vision as boundary condition in the relationship between employees' creative process engagement and employee creativity, as well as stressing the theoretical research of leadership and creativity.

This study aims to understand workplace conflict outcomes (WCO) literature and identify the research gaps by mapping its knowledge base and theoretical evolution.

This study combines bibliometric and qualitative analysis and encompasses 1,043 Scopus-indexed documents published between 1972 and 2022. The bibliometric analysis used VOSviewer, Excel and Tableau software for descriptive statistics, citation and co-citation analyses of publication patterns, authors, documents and journals. The qualitative analysis critiqued main theoretical perspectives and topical interests.

This study revealed a significant increase in literature after 2000, with authors representing 70 societies, primarily the USA, China, Australia, Canada and the Netherlands. Influential authors and their canonical articles were identified, including Jehn, De Dreu, Spector, Amason and Pelled. Highly cited articles focused on task, relationship, role and process conflict. Four main theoretical schools were categorized: conflict type paradigm, individual differences, conflict cooccurrence and conflict dynamics. Influential journals spanned psychology, management, negotiation and decision-making and business and marketing fields, including JAP, AMJ, ASQ, JM, JOB, AMR, IJCMA and OS.

This study provides implications for future bibliometric analyses, theoretical and empirical studies, practitioners and society based on its quantitative and qualitative findings.

To the best of the authors’ knowledge, this study represents the first bibliometric review of WCO literature, serving as a baseline for tracking the field’s evolution and theoretical advancements.

Intellectual experiences focus on users’ information processing and critical thinking toward stimuli. The deployment of humanoid service robots as novel stimuli in tourism and hospitality has influenced users’ perceptions and may affect their intellectual engagement. This paper aims to connect four contemporary theoretical concepts: the service robot acceptance model, technological fear, the uncanny valley theory and the stereotype content model, to investigate users’ perceptions and intellectual experiences toward humanoid service robots.

Scale development procedures were conducted: literature review, checking face and content validity, factorizing items and dimensions, achieving construct and criterion validity and testing predictive validity.

Through literature review and free-response tasks, 43 measurement items were generated. Next, 1,006 samples from two cross-cultural groups refined the scale. Finally, a reliable and valid scale with four dimensions measuring users’ perceptions of humanoid service robots was determined.

Humanoid service robots should be designed to enhance functionality and innovativeness while minimizing stiffness, inflexibility, unsafety and danger to improve users’ intellectual engagement.

This study provides a novel examination of users’ intellectual experiences toward humanoid service robots by connecting four contemporary theories of users’ perceptions. This study enriches human–robot experience through an integrated perspective and presents a rigorous examination of the scale’s psychometric properties. A reliable and valid scale for measuring users’ perceptions toward humanoid service robots fills the gaps and serves as an effective predictor of intellectual experience in human–robot literature.

Export manufacturing firms from emerging markets can better meet customer needs by providing customization, which leads to competitive advantages. Although both practice and academic research have deeply discussed customization, the question of whether customization promotes export manufacturing firms' product innovation in the global B2B market is largely unexplored. The purpose of this paper is to address this issue.

This paper collects survey data from 2,248 export manufacturing firms in China and uses hierarchical moderated regression to explore the relationship between customization and product innovation in the global B2B market and their boundary conditions.

This research shows that customization positively affects export manufacturing firms' product innovation in the context of the global B2B market, and it shows that internal governance structure (contract governance and relationship governance) and external governance structure (legal enforceability) can be used as boundary conditions that affect the relationship. Specifically, contract governance has an inverted U-shaped moderating effect on the relationship between customization and product innovation; moreover, relationship governance and legal enforceability can strengthen the positive relationship between customization and product innovation.

The study explores the relationship between customization and product innovation in the global B2B market and examines the moderating effect of internal and external governance structures. In addition, the study enriches the research related to customization and product innovation in the context of the global B2B market and provides essential practical insight into the survival of export manufacturing firms from emerging markets.

Based on resource-based theory and intellectual capital theory, this paper aims to investigate the impact of digital investment on enterprise value and the mediating role of intellectual capital. Additionally, it explores the heterogeneous impacts of digital investment on enterprise value and intellectual capital.

The study utilizes a sample of listed companies in Chinese A-shares from 2013 to 2020. The entropy-weighted method is applied to measure digital investment from two dimensions: scale and increment. Finally, the research hypotheses are tested through multiple regression analysis.

The empirical results demonstrate that digital investment significantly and positively impacts enterprise value. From the channel mechanism test, digital investment can enhance enterprise value by influencing intellectual capital through human, structural and relational capital. Of these, the mediating effect of human capital is the most significant. Moreover, the impacts of digital investment on enterprise value and intellectual capital are related to the industry sectors. In the agricultural sector, digital investment has adverse effects. In the industrial and service sectors, digital investment promotes intellectual capital and enterprise value. However, in the service sector, the impact on relational capital is not significant, and the mediating effect of relational capital does not hold.

This research has a limited potential for generalization due to the lack of standard measurement models for the exploration of digital investment.

The research findings are valuable for assessing the economic effects of digital investment comprehensively and providing essential information for policy formulation and strategy implementation.

This study represents the first attempt to evaluate the relationship between digital investment and enterprise value using the entropy-weighted method. In addition, this study investigates the mediating role of intellectual capital.