Purpose: – Teamwork is important for innovation, but it often incurs conflicts. Previous literature has reported inconsistent relationships between conflicts and team performance. The purpose of this paper is to clarify this relationship and explore how to improve team innovation using conflict management styles.Design/methodology/approach: – This study collects data in China and the survey covering 436 participants from 126 project teams. Then, structure equation model by AMOS and moderated regression analyses are used for hypotheses testing.Findings: – This study finds that cognitive conflict and affective conflict have positive and negative effects on team innovation separately, and cognitive conflict positively affects affective conflict, with the total effect of cognitive conflict on team innovation being negative. Moreover, this study suggests that cooperative conflict management styles and dominating style (one of competitive conflict management styles) moderate the relationship between cognitive conflict and affective conflict negatively and positively.Research limitations/implications: – First, this study did not consider features of organizations as control variables. Future research can advance in this direction. Second, the data were collected from a single marketing innovation program. Further research might use more diversified teams to test the hypotheses.Practical implications: – Firms should realize that cognitive conflict promotes team innovation directly, but it also harms team innovation through affective conflict. Then, cooperative conflict management styles are effective in weakening the relationship between cognitive conflict and affective conflict.Originality/value: – This study fulfills an identified need to clarify the relationship between conflict and team performance, as well as how conflict management styles moderating the relationship between cognitive conflict and affective conflict.

Technology and innovation management (TIM) plays an increasingly important role in the survival and prosperity of firms and economic growth of countries, which makes it increasingly important to trace the trajectory of this research field. However, to date, few studies have analyzed the evolution of the field of TIM quantitatively. Aiming to achieve an overall understanding of the research in the field of TIM, this study extracts all publications in the top 13 journals on TIM and their references that could be located in the Web of Science. Next, through cocategory analysis, cocitation analysis, cokeyword analysis, and coauthor analysis, the crucial intellectual structure of the TIM field is identified, and the distribution and evolution of the hot spots of this field are presented. An overall picture, emerging trends, and key points of the field of TIM are provided, which might contribute to our understanding and future studies of TIM.