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The purpose of this paper is to investigate the relationships between different types of team goal orientations (team learning orientation, team prove orientation and team avoid orientation) and team performance in new product development (NPD) and how these relationships are mediated by team absorptive capacity.

Data were collected through two surveys from 71 NPD teams and analyzed by the confirmatory factor analysis, correlation and hierarchical regression analysis methods.

The authors find that both teams’ learning and prove orientations are positively related to their absorptive capacity, which leads to increasing team performance in NPD. Further, the authors find support for the mediating role of team absorptive capacity in connecting team learning orientation and team prove orientation with team performance in NPD.

For practitioners, this paper suggests that to benefit from their NPD team efforts, firms with innovative aspirations should consider their existing and desired access to external knowledge sources and particularly the extent to which they can successfully integrate external knowledge with their internal knowledge structure.

The explication of team absorptive capacity is as a key mechanism through which different goal orientations of NPD teams inform the ability to successfully develop new products. By integrating the concepts of team goal orientations, team absorptive capacity and team performance in NPD, the authors seek to gain a better understanding of why some firms are more likely to do better than others in NPD. Findings of this paper extend concept of the nomological network on how absorptive capacity may serve as a direct outcome of different goal orientations. This paper responds to how Chinese firms can increase their innovative performance by infusing their current knowledge bases with external knowledge and extends the literature on knowledge management and managerial ties on innovation.

The purpose of this study is to explore the categories of leader traits, their generation and their relationships in leaders’ socialization.

The authors take the case study method, which is the most suitable method to answer research questions on why and how to fulfill the study purpose on the basis of the case of Ruimin Zhang.

Leader traits are classified into four categories with respect to socialization, namely, root trait, driving trait, thinking trait and affair trait. The root trait and the driving trait form from the leader’s insight with the impact of key events, mutually promote and consolidate each other, and together derive the thinking trait and the affair trait on the basis of critical events, culture, family, education, etc. The thinking trait is the premise of the affair trait to be expressed in leadership behavior. The root trait and the driving trait together determine a leader’s growth direction and efficiency and can distinguish leaders from non-leaders. The thinking trait and the affair trait together determine the pattern and effectiveness of leadership behavior and can distinguish effective leadership from ineffective leadership.

This study transcends prior integral leader trait research by categorizing leader traits from the socialization perspective, makes a clear delineation on the interrelationships among categories of leader traits, analyzes their holistic functions on the leaders, reveals the formation and relationship mechanism of leader traits and identifies the types of leader traits that can work as the standards for distinguishing effective leaders from ineffective leaders or non-leaders.

This study promotes the development of the leader trait theory in the classification, formations, relationships and overall effect of leader traits.

This paper aims to solve the disadvantages of content-based domain ontology (CBDO) and metadata-based domain ontology (MDO) and improve organization and discovery efficiency of library resources by resource ontology (RO).

The paper constructed an RO model. Methods of informetrics are utilized to reveal semantic relationships among library resources. Methods of ontology, ontology-relational database mapping (O-R mapping) and relational database modelling are utilized to construct RO. Take author co-occurrence for example, the paper demonstrated the capability of RO model.

RO not only revealed the deep-level semantic relationships of metadata of library resources but also realized totally computer-automated processing. RO improved the efficiency of knowledge organization and discovery.

Semantic relationships revealed by RO are limited to simple metadata, which makes it difficult to reveal fine-grained semantic relationships. Ongoing research focuses on the revelation of semantic relationships based on the title and abstract.

The paper includes implications for utilizing methods of Informetrics to construct ontology.

This paper proposed a standardized process of ontology construction in library resources. It may be of potential interest for anyone who needs to effectively organize library resources.