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This study aims to examine the impact of different subtypes of trust on the willingness of companies to share knowledge. To measure improvement in work performance, three perspectives of interpersonal trust, institution-based trust and their combined effect on fostering trust are examined.

A comparative analysis and quantitative measurement are used in this study (with a sample size of 147) to determine which knowledge-sharing channels need to be established to increase effectiveness and efficiency.

This study found that both interpersonal and institutional trust can positively influence employees' willingness to share personal knowledge. Despite this, the combination of these two types of trust cannot outperform the scenarios in which one type of trust can reach its maximum. As a result of institutional trust, trustees are more likely to trust others when they feel protected.

Trust may take on multiple dimensions in different business contexts and industries. In this study, the limited sample size and domain may only reveal some of these aspects of trust, which may not be representative of other contexts.

Few researchers have examined the degree of trust and its impact on knowledge dissemination using relevant parameters. Their focus is solely on the interaction between interpersonal trust and knowledge sharing. As a result of this study, the concept of “trust” was quantified, with more tangible metrics to provide better estimates when assessed in different business contexts.

The purpose of this paper is to explore the relevant sayings and stories of the ancient Chinese sages in relation to the style of Chinese human resource management (HRM).

Related texts generated from the quotations and stories from four Chinese sages, Guanzi, Hanfeizi, Xunzi and Yanzi, were translated and analyzed and their thinking regarding ruling the state and managing the people was discussed in line with the thoughts from the mainstream and modern Western management gurus such as Warren Bennis, Peter Drucker, Mary Parker Follett, Douglas McGregor, Rosabeth Moss Kanter, Elton Mayo and Jeffrey Pfeffer.

It was found that there were striking similarities in thoughts and call for actions to address key issues in HRM by both old and contemporary, east and west thinkers across 2,500 years. The main concerns are to select the right leaders and managers and recruit the right people; create attractive organisational culture and environments that promote a participative management approach to encourage, empower and engage employees to achieve desirable outcomes; uphold the people‐centred management principles; and focus on designing reward schemes that emphasise service and contribution instead of position and profits.

There is much to be learned from the past to address the present people management issues among modern organisations both inside China and perhaps from other parts of the world. It was as difficult to take seriously the principles‐based ruling and management approaches in ancient times as it is today. However, if these principles had been put into practice, the world would have had fewer of the corporate corruption scandals and less of the mischievous behaviour in the state that are manifested in today's society, but more productive population, effective organisations, ethical governments and harmonious environment; hence less global human suffering.

With the rapid development of the service industry, service innovation has gradually become a hot topic in business today. How to further improve employees' service innovative behaviors has become critical to organizations' survival and success. Servant leadership, as a leadership style characterized by serving others, is closely related to employees' service innovative behaviors. Therefore, the purpose of this study is to develop a theoretical framework to examine the influence of servant leadership on employees' service innovative behavior, the mediating role of intrinsic motivation and the moderating role of identification with the leader.

To test the theoretical model, a multi-time survey method was used to collect data from 381employees from a large high-tech company in Mainland China.

The results confirm that servant leadership can promote employees' service innovative behavior and intrinsic motivation. Meanwhile, employees' intrinsic motivation partly mediates the influence of servant leadership on their service innovative behavior. Moreover, this mediating relationship is conditional on the moderating role of individual identification with the leader in the path from servant leadership to individual intrinsic motivation.

The key limitation of this study lies in the representativeness of sample data, which is the convenience of non-probability sampling and self-reported data only from a large high-tech company in China.

This study not only further verified a promotion factor of individual service innovative behavior from the perspective of leader influence, but also enriched the understanding of the positive influence of servant leadership on employees.

This study is the first to examine the relationships among servant leadership, employees' intrinsic motivation, identification with the leader and service innovative behavior. The results may help to open the “black box” of the relationship between servant leadership and employees' service innovative behavior by introducing their intrinsic motivation. The conclusions also indicate employees' identification with the leader is an important boundary condition among their relationships. Particularly, it not only moderates the relationship between servant leadership and intrinsic motivation, but also moderates the mediating role of intrinsic motivation.

This paper aims to develop a robust navigation enhancement framework to handle one of the most urgent needs for real applications of autonomous vehicles nowadays, as these corner cases act as the most commonly occurred risks in potential self-driving accidents.

In this paper, the main idea is to fully exploit the consistent features among spatio-temporal data and thus detect the anomalies and build residual channels to reconstruct the abnormal information. The authors first develop an anomaly detection algorithm, then followed by a corresponding disturbed information reconstruction network which has strong robustness to address both the nature disturbances and external attacks. Finally, the authors introduce a fully end-to-end resilient navigation performance enhancement framework to improve the driving performance of existing self-driving models under attacks and disturbances.

Comparison results on CARLA platform and real experiments demonstrate strong resilience of the authors’ approach which enhances the navigation performance under disturbances and attacks.

Reliable and resilient navigation performance under various nature disturbances and even external attacks is one of the most urgent needs for real applications of autonomous vehicles nowadays, as these corner cases act as the most commonly occurred risks in potential self-driving accidents. The information reconstruction approach provides a resilient navigation performance enhancement method for existing self-driving models.

This paper aims to facilitate the research and development of resilient navigation approaches, explore the robustness of adversarial training to different interferences and promote their practical applications in real complex environments.

In this paper, the authors first summarize the real accidents of self-driving cars and develop a set of methods to simulate challenging scenarios by introducing simulated disturbances and attacks into the input sensor data. Then a robust and transferable adversarial training approach is proposed to improve the performance and resilience of current navigation models, followed by a multi-modality fusion-based end-to-end navigation network to demonstrate real-world performance of the methods. In addition, an augmented self-driving simulator with designed evaluation metrics is built to evaluate navigation models.

Synthetical experiments in simulator demonstrate the robustness and transferability of the proposed adversarial training strategy. The simulation function flow can also be used for promoting any robust perception or navigation researches. Then a multi-modality fusion-based navigation framework is proposed as a light-weight model to evaluate the adversarial training method in real-world.

The adversarial training approach provides a transferable and robust enhancement for navigation models both in simulation and real-world.

SNS, namely social networking sites, has become one of the most effective and fast channels of information diffusion and dissemination. As an influential way of online marketing, SNS has been increasingly used by tourism organizations and enterprises to shape their destination image. On the basis of previews literature of destination image and SNS, this paper used the text analysis software ROST Content Mining (ROST CM) System to do a case study of the SNS destination marketing of Singapore on Chinese market. The authors analyze the text related to Singapore tourism on the major SNS in mainland China: Renren, Sina Weibo, and Douban, through word frequency analysis and the social semantic network, to summarize the destination image of Singapore on SNS. The paper also focuses on the difference of image building by official and individual SNS. Results found by this paper can be used by the relevant tourism organizations and enterprises to improve their destination marketing and image building on SNS channels.

The purpose of this paper is to improve the precision of gangue detection. In the real production environment, some gangue features are not obvious, and it is difficult to distinguish between coal and gangue. The color of the conveyor belt is similar to the gangue, the background noise also brings challenge to gangue detection. To address the above problems, we propose a feature aggregation method based on optical flow (FAOF).

An FAOF is proposed. First, to enhance the feature representation of the current frame, FAOF applies the timing information of video stream, propagates the feature information of the past few frames to the current frame by optical flow. Second, the coordinate attention (CA) module is adopted to suppress the noise impact brought by the background of convey belt. Third, the Mish activation function is used to replace rectified linear unit to improve the generalization capability of our model.

The experimental results show that the gangue detection model proposed in this paper improve 4.3 average precision compared to baseline. This model can effectively improve the accuracy of gangue detection in real production environment.

The key contributions are as follows: this study proposes an FAOF; this study adds CA module and Mish to reduce noise from the background of the conveyor belt; and this study also constructs a large gangue data set.

The purpose of this paper is to outline a framework for marketing cultural goods (e.g. music) to global markets by examining modes of entry and positioning strategies used by media producers of the South Korean music industry.

An historic analysis was implemented to investigate the modalities and structures through which cultural products are produced and disseminated. Data for this study came from 314 articles collected from www.allkpop.com, a leading English-language, South Korean popular culture news site.

The cultural technology framework consists of the institutionalization of cultural technology, exportation of cultural content, collaborations with local talent, and joint ventures with local markets.

The findings emerge from an analysis of South Korean popular music industries, and further research is needed to generalize the results across cultural industries.

The cultural technology framework can be applied to cultural industries such as music, film, comics, and art, where culture and language could be barriers to adoption.

This study outlines a framework for the modes of entry and positioning strategies of cultural goods (e.g. music) in international markets. Extant literature has examined global marketing from the purview of durable consumer goods and brands, with limited insights into cultural products. More broadly, this paper addresses the call for more qualitative inquiry into international marketing topics.

This paper aims to test the relationships among three important variables in the management of Chinese employees: personality trait, job performance and job satisfaction. A causal model is developed to hypothesize how personality trait affects job performance and satisfaction and how job performance and satisfaction simultaneously affect each other.

The survey was conducted from October to November 2009. In total, 414 questionnaires were distributed and 392 were returned. Using data collected, the theoretical model is empirically validated. Structural equation modelling using LISREL 8.8 is used to test the causal model.

Job performance and job satisfaction have a bilateral relationship that is simultaneously influential. All Big Five personality traits significantly influence job performance, with agreeableness showing the greatest effect, followed by extraversion. Extraversion is the only personality trait that shows a significant influence over job satisfaction.

This study contributes to the literature by clarifying the inconsistent findings of causal relationship between job performance and job satisfaction in previous studies. Another contribution is testing the effect of personality traits on job performance and job satisfaction in a simultaneous reciprocal model. A hybrid theory of expectance and equity is advanced in this study to explain the results.

In China, rural-to-urban migrant workers who are from the same place of origin tend to concentrate in the same workplace. If the concentration is sufficiently dense, it means that these migrant workers build up a social network which could be defined as native place enclave (NPE). In this paper, the authors discussed whether there are behavioral differences between enclave workers and non-enclave workers when they have conflicts with their employers.

The authors put two questions to empirical tests. First, do enclave workers experience less sense of deprivation than non-enclave workers? Second, compared to non-enclave workers, are enclave workers more willing to participate in collective action against their employers? Using data from a survey of migrant workers in Pearl River Delta and Yangzi River Delta in 2010, the authors made a comparison between enclave workers and non-enclave workers with respect to sense of deprivation and willingness-to-participate by using a propensity score matching method.

The authors found that the relationship between NPE and sense of deprivation was negative, so was the relationship between NPE and willingness-to-participate. Meanwhile, the two relationships were stronger than what had been found after the propensity score matching method was used.

The results implied that employers can reduce labor conflicts by using NPE to mitigate migrant workers’ sense of deprivation and by lowering the risk of their collective actions. In this way, NPE may contribute to the upkeep of workplace order and even social order.

There have been hot debates on how NPE would affect migrant workers’ collective action. Resource mobilization theory pointed out that NPE was positively related to workers’ collective action while production politics theory held an opposite view. Our findings provided empirical evidences for the debates.