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The purpose of this paper is to ensure the sustainability of the competitive advantages of internet financial enterprises. In recent years, driven by the two wheels of financial market and information technology, the internet finance has experienced an extremely rapid development.

Based on the performance expectation, effort expectation, social influence and purchase intention of UTAUT model, an empirical examination was conducted. Specifically, the authors made the user purchasing behavior as the dependent variable and added some new factors such as perceived risk, individual innovation and product cognition as the independent variables in the model, and they also added user gender and experience as regulated variables, so as to study the impact factors that affect the purchasing behavior. In addition, the authors also studied the impact of social network friend recommendations on consumers’ willingness to purchase.

The research results showed that effort expectation, performance expectancy, effort expectancy, purchase intention, awareness and individual innovation have a positive effect on the behavior of buying financial products, whereas the perceived risk has a negative effect on the behavior of buying internet financial products. Additionally, in the context of social networking, social network friend recommendations have a positive impact on consumers’ willingness to purchase.

This paper is based on the integrated technology acceptance model, which makes the user purchasing behavior as the dependent variable and adds some new factors such as perceived risk, individual innovation and product cognition as the independent variables. However, the research on recommendation between social network friends is not deep enough, so further improvement is needed.

This study can enrich the existing theories on the interpretation of the intention of using internet financial products, help internet financial enterprises understand user behavior and demands better, and improve service quality and customer satisfaction.

This study provides an empirical examination of UTAUT model and social network analysis.

With a basis in social identity and equity theories, this study investigates the relationship between employees' perceptions of organizational injustice and their knowledge hiding, along with the mediating role of organizational dis-identification and the potential moderating role of benevolence.

The hypotheses were tested with three-wave survey data collected from employees in Pakistani organizations.

The experience of organizational injustice enhances knowledge hiding because employees psychologically disconnect from their organization. This mediation by organizational dis-identification is buffered by benevolence or tolerance for inequity, which reduces employees' likelihood of reacting negatively to the unfavourable experience of injustice.

For practitioners, this study identifies organizational dis-identification as a key mechanism through which employees' perceptions of organizational injustice spur their propensity to conceal knowledge, and it reveals how this process might be mitigated by a sense of obligation to contribute or “give” to organizational well-being.

This study establishes a more complete understanding of the connection between employees' perceptions of organizational injustice and their knowledge hiding, with particular attention devoted to hitherto unspecified factors that explain or influence this process.

The purpose of this paper is to summarize the existing point cloud target detection algorithms based on deep learning, and provide reference for researchers in related fields. In recent years, with its outstanding performance in target detection of 2D images, deep learning technology has been applied in light detection and ranging (LiDAR) point cloud data to improve the automation and intelligence level of target detection. However, there are still some difficulties and room for improvement in target detection from the 3D point cloud. In this paper, the vehicle LiDAR target detection method is chosen as the research subject.

Firstly, the challenges of applying deep learning to point cloud target detection are described; secondly, solutions in relevant research are combed in response to the above challenges. The currently popular target detection methods are classified, among which some are compared with illustrate advantages and disadvantages. Moreover, approaches to improve the accuracy of network target detection are introduced.

Finally, this paper also summarizes the shortcomings of existing methods and signals the prospective development trend.

This paper introduces some existing point cloud target detection methods based on deep learning, which can be applied to a driverless, digital map, traffic monitoring and other fields, and provides a reference for researchers in related fields.

The purpose of this paper is to offer novel insights into: knowledge of proto-feminism through description and analysis of the rule of the seventh century female Emperor Wu Zetian; postcolonial theory by revealing the existence and proto-feminist activities of a non-western female leader; and the literature on gender and invisibility through a study of a leading figure that is relatively unknown to western feminists and is even, in feminist terms, something of a neglected figure.

In order to examine Wu’s proto-feminist practices as recorded in historical materials, we use critical hermeneutics as a tool for textual interpretation, through the following four stages: choosing texts from historical records and writings of Wu; analyzing the historical sociocultural context; analyzing the relationship between the text and the context; and offering a conceptual framework as a richer explanation.

Wu’s life activities demonstrate proto-feminism in late seventh century China in at least four aspects: gender equality in sexuality, in social status, in politics, and women’s pursuit of power and leadership.

Future research may dig into the paradox of Wu’s proto-feminist practices, the relationship between organizational power and feminism/proto-feminism, and the ways in which Wu’s activities differ from other powerful women across cultures, etc.

The study encourages a rethink of women and leadership style in non-western thought.

The study supports Calás and Smircich’s 2005 call for greater understanding of feminist thought outside of western thought and a move to transglobal feminism.

This study recovers long lost stories of women leadership that are “invisible” in many ways in the historical narratives, and contributes to postcolonial feminism by revealing the existence of indigenous proto-feminist practice in China long before western-based feminism and postcolonial feminism emerged.