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To better understand factors that lead to business model innovation (BMI) in organizations, this study argues that inclusive leadership is the primary source that motivates employee engagement in boundary-spanning activities, which fosters BMI by generating and integrating employee knowledge through boundary-spanning exploration.

This paper analyzes the relationships between inclusive leadership, boundary-spanning exploration and BMI to discover how they influence each other. This is achieved by a survey of more than 30 enterprises in Zhejiang Province, China. The survey data are analyzed using SPSS.

Inclusive leaders who display characteristics of openness, accessibility and availability have a positive effect on BMI and boundary-spanning exploration; openness and accessibility have more significant positive effect on BMI and boundary-spanning exploration.

Because this study covers only in Zhejiang Province, in China, the findings may not be easily generalizable to other contexts. Other factors, such as organizational structure and contextual characteristics, could also be added as antecedents in a future investigation. Moreover, the scales could be revised more suitable for China in the future.

The empirical findings can be used as guidelines for firms seeking to take advantage of inclusive leadership and to help firms motivate their employees to engage in boundary-spanning exploration to acquire, generate and integrate knowledge from diverse sources to promote BMI.

This study provides insights that will be of value by adding to the theoretical foundation of our understanding of the antecedents to firms' BMI. This study argues that employees' boundary-spanning exploration is important to BMI as well. Inclusive leadership is crucial to stimulate boundary-spanning exploration by employees. Therefore, how to encourage inclusive leadership in firms is well worth examining.

China’s swift economic rise, as symbolized by the first Chinese Olympics and by surpassing Japan to become the world’s second largest economy despite the recent global financial meltdown, has been accompanied by a transformation of Chinese foreign policy behavior. After spending the last decade emphasizing China’s “peaceful rise” or “peaceful development,” Beijing has begun to expound its policy preferences and territorial claims more forthrightly, even assertively. The purpose of this chapter will be to consider the origins, consequences, and likely future of the new Chinese foreign policy in the wake of the leadership transition at the 18th Party Congress in 2012 and the 12th National People’s Congress in 2013.

This paper primarily aims to focus on a review of convolutional neural network (CNN)-based eye control systems. The performance of CNNs in big data has led to the development of eye control systems. Therefore, a review of eye control systems based on CNNs is helpful for future research.

In this paper, first, it covers the fundamentals of the eye control system as well as the fundamentals of CNNs. Second, the standard CNN model and the target detection model are summarized. The eye control system’s CNN gaze estimation approach and model are next described and summarized. Finally, the progress of the gaze estimation of the eye control system is discussed and anticipated.

The eye control system accomplishes the control effect using gaze estimation technology, which focuses on the features and information of the eyeball, eye movement and gaze, among other things. The traditional eye control system adopts pupil monitoring, pupil positioning, Hough algorithm and other methods. This study will focus on a CNN-based eye control system. First of all, the authors present the CNN model, which is effective in image identification, target detection and tracking. Furthermore, the CNN-based eye control system is separated into three categories: semantic information, monocular/binocular and full-face. Finally, three challenges linked to the development of an eye control system based on a CNN are discussed, along with possible solutions.

This research can provide theoretical and engineering basis for the eye control system platform. In addition, it also summarizes the ideas of predecessors to support the development of future research.

Rare earths are essential materials for many high-tech industries critical to both economic development and national defense. China, the world's dominant supplier of rare earths, has recently been imposing stricter controls over its production and export. The purpose of this paper is to examine the domestic roots of the changes in China's rare earth industry production and exports in its three-decade rise to the current global monopoly.

This paper adopts the historical institutionalism approach to analyze the trajectory of industry and trade development. The author analyzes data collected from government whitepapers and reputed scholarly and news sources.

This paper argues that the Chinese rare earth industry has gone through three periods of development, in which the state attempted to control the market and industry through reformulating rules and institutions to achieve state goals. Domestic state institutions, combined with macroeconomic environment and state governance strategy shaped the three-decade experience of rare earth industry and trade development in China.

This paper builds on existing findings about Chinese state regulations to provide a novel analytical framework to analyze the role of the state in industry and trade development in the rare earth industry. The focus on a single strategic industry seldom studied in the current literature also provides ample empirical value to further scholarly understanding about this industry.