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The extant literature on self-verification striving has primarily focused on employee recruitment and positive organizational outcomes, but there is insufficient research on its influence mechanism and boundary conditions. With taking charge as the mediating variable and authentic leadership as the moderating variable, this study aims to explore the relationship between self-verification striving and creative performance.

The authors collected 358 questionnaires from China. Linear regression was used to explore the influence mechanism and boundary conditions. Groups were classified by latent profile analysis, and differences among different groups were compared.

First, self-verification striving was significantly positively correlated with creative performance, and taking charge played a significant mediating role between them. Second, authentic leadership significantly positively moderated the relationship between self-verification striving and taking charge. Third, based on the willingness and action of self-verification striving, it was found that the taking charge and creative performance of the double high group was significantly higher than the high-medium group, while the double low group was significantly lower than the high-medium group.

First, this study makes up for the lack of influencing mechanism and inconsistency of research results between self-verification striving and employee outcomes. Second, the moderating effect of authentic leadership was proposed and verified, which enriched the universality of self-verification theory in Chinese context. Third, we found the differences in behaviors and outcomes among different groups, verified the uniqueness of self-verification striving in the Chinese context. It helps to explore the deep relationships that cannot be revealed by variables alone.

The purpose of this paper is to present an intelligent data-driven framework which provides an effective group-buying aggregation service and thus offers a new opportunity for personalized services in recommendation and advertisement.

The work presented in the paper analyzes the aggregated group-buying data and creates a compact view of the data which eliminates the potential redundancy and noise. In doing this, the dependencies are discovered from the data in a reverse engineering way. A noise-tolerant method is appreciated, as noise and exception is inevitable in massive data.

The paper finds that, through the implementation of the intelligent framework, the aggregator will provide a compact view of the group-buying data to customers. According to the empirical study, a 38 percent average decrease of redundancy and noise in the searching results is achieved through the newly built views and corresponding data.

The paper presents the innovative process of discovering the dependencies and creating views in a data-driven and noise-tolerant way. The proposed intelligent framework improves the aggregation performance and forms the basis of personalized services.

The purpose of this paper is to propose a framework for describing and evaluating the representativeness of a small set of search results extracted from the original results: this is deemed desirable in information retrieval in enterprise information systems.

The paper proposes a combined measure, namely RF_β, to evaluate the extracted small set in terms of the notions of coverage and redundancy. Data experiments were conducted on three different extraction strategies to evaluate the representativeness, i.e. coverage and redundancy.

Both from intuitive and experimental perspectives, the proposed coverage measure, redundancy measure and RF_β measure could effectively evaluate the representativeness.

The search results, e.g. in the form of documents and texts, are modeled using a vector space model and cosine similarity. Semantic models and linguistic models could be further introduced into this research to improve the proposed measures.

With the rapidly growing need for information retrieval in enterprise information systems, the representativeness of search results become more desirable and important for search engine users. The well‐designed representativeness measures will help them achieve satisfactory results.

The originality of the paper lies in the definition of representativeness of a small set of search results extracted from the original results. This focuses on the two aspects of coverage rate and redundancy rate both from intuitive and experimental perspectives.

To reveal and analyze the key issues concerning information systems management in Mainland China.

Based on data collected from 286 Chinese companies, 12 top key issues in information systems management in Mainland China are ranked and compared with the results of an earlier study, as well as those from western countries.

While the top three critical issues remain unchanged, largely due to the centralized decision‐making mechanism, mandatory management style, and less experience of IT/IS applications, there are distinguishable changes that took place in the past few years. Furthermore, there are different results between different sectors of companies, reflecting respective characteristics and historical development processes of the sectors.

Extended data and measures are required for in‐depth investigation in specific individual industries.

The study could be helpful for understanding the situations and challenges in information systems management in China and planning IT/IS strategies accordingly.

The paper offers practical help for managers to better understand the IT/IS application context in China. Meanwhile, researchers interested in IT/IS management in China can use the information provided by this paper to guide their inquiry.

With the rapid economic development, China has been increasingly paying special attention to its sports and health industries. In October 2014, the State Council raised the goal to upscale the sports industry to the net worth of 5 trillion yuan by 2025. To gain further insights into the current development of tennis in China, especially the development of Women’s Tennis Association (WTA) tennis competitions, an interview with the director of Wuhan Opening Fabrice Chouquet and Mr Guoqing Yi of Wuahan Sport Investment Inc. was conducted. The paper aims to discuss these issues.

To gain further insights into the current development of tennis in China, especially the development of WTA tennis competitions, an interview with the director of Wuhan Opening Fabrice Chouquet and Mr Guoqing Yi of Wuahan Sport Investment Inc. was conducted.

The interview comprised a series of topics including motivators of tennis industries in China, the strategic position of China for WTA development, WTA choice of hosting city, effects of WTA competition events toward the hosting city, and the operation of WTA tennis competitions. Integrating the aforementioned topics with Wuhan Tennis Open, the interviewees also provided suggestions toward the future development of tennis industry in China.

This study has several limitations that are of concern to researchers in the future. First, the interviewees of this research came from Wuhan Tennis Open. Though Mr Fabrice used to be the managing director of WTA in Asia, he only knows about women tennis in China, and his viewpoints have their own limitation. Therefore, the interviewee in the future has to be the person who could hold the opinion on tennis development in China at the macro scale. Second, the questions in the interview have a wide scale, but lack depth and penetration. For instance, the interview only relates to the motive of tennis development but does not go deeply into the relation between the above two aspects. Moreover, it mentions the problems related to the tennis development. It only concentrates on the tennis tournaments but does not discuss the tennis culture and the industry. These questions need to be considered when the authors research on the development of tennis in China in the future.

Through the analysis on WTA and tennis in China, the authors can understand the development of sports in China and the Chinese sports industry in recent years.

This paper aims to the perspective of stakeholders, from external variables of the Building Information Modeling (BIM) system, users, task flow, the nature of the development of the execution process, organizational structure and policy impacts, that established a relationship among the internal concepts and intentions for the BIM application, individual or organizational differences, controlling interference factors and environmental constraints, discussed the combination of the values and barriers of BIM implementation.

Through the co-occurrence statistics and genre analysis based on co-citation context analysis and constructs the common information that impacts the combination of values and barriers of BIM implementation. Then, the paper chose the expert database of the green construction and intelligent building branch of the China construction association, and obtained 104 sample data through modified snowball sampling, using exploratory factor analysis with factor load linear functions, combined factor variance contribution rate weights.actor variance contribution rate weights.

The results show that eight aspects can be defined as the values of BIM implementation (VI), and the barriers of BIM implementation (BI) mainly come from five aspects caused by insufficient cognition and two aspects of an uncertain value in China.

This research reflects a combined evaluation of the values of BIM implementation and barriers of BIM and highlights the significance of the sustainable development of BIM technology and the value of building future informatization applications.

In this chapter, we present our ongoing efforts in developing and sustaining interdisciplinary STEM undergraduate programs at North Carolina A&T State University (NCA&T) – a state-supported HBCU and National Science Foundation (NSF) Historically Black Colleges and Universities Undergraduate Program (HBCU-UP) Institutional Implementation Project grantee. Through three rounds of NSF HBCU-UP implementation grants, a concerted effort has been made in developing interdisciplinary STEM undergraduate research programs in geophysical and environmental science (in round 1), geospatial, computational, and information science (in round 2), and mathematical and computational biology (in round 3) on NCA&T campus. We first present a brief history and background information about the interdisciplinary STEM undergraduate research programs developed and sustained at NCA&T, giving rationales on how these programs had been conceived, and summarizing what have been achieved. Next we give a detailed description on the development of undergraduate research infrastructure including building research facilities through multiple and leveraged funding sources, and engaging a core of committed faculty mentors and research collaborators. We then present, as case studies, some sample interdisciplinary research projects in which STEM undergraduate students were engaged and project outcomes. Successes associated to our endeavor in developing undergraduate research programs as well as challenges and opportunities on implementing and sustaining these efforts are discussed. Finally, we discuss the impact of well-structured undergraduate research training on student success in terms of academic performance, graduation rate and continuing graduate study, and summarize many of the learnings we have gained from implementation and delivery of undergraduate research experiences at HBCUs.

The purpose of this paper is to design a new type of magnetic suction wall-climbing robot suitable for the wall inspection of wind turbine towers to solve the problems in manual maintenance tasks.

By analyzing the shortcomings of existing wall-climbing robots, a magnetic suction integrated wheel structure is designed to effectively combine the adsorption structure and transmission structure. To enable the robot to adapt to the curvature of the wall surface of a wind turbine tower, a passive adaptive curvature structure is designed. The effects of the air gap, the thickness of the wheel plates on both sides, the size of permanent magnets and the size of aluminum rings on the adsorption force are studied. Through mechanical model analysis under different instability conditions, the magnetic circuit of the magnetic wheel is optimized and designed.

Applying the wall-climbing robot to engineering practice, experiments have shown that the developed wall-climbing robot can move safely and stably on the wall of the wind turbine tower. The robot can also carry a load of 20 kg, and the designed adaptive structure can cause the magnetic wheel to deflect up to 20° relative to the vehicle body, fully meeting the curvature requirements of the minimum diameter end of the wind turbine tower.

This paper proposes a magnetic suction integrated wheel structure through analysis of the working environment. And the parameters affecting the magnetic wheel adsorption performance were optimized. Meanwhile, a passive adaptive wind turbine tower curvature structure was proposed.