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Remote work has become a new way of working due to the influence of the COVID-19 pandemic, which inevitably aggravates team conflicts caused by cognitive differences given the lack of face-to-face communication. With a team climate perspective, this paper investigates the impact of the team leader’s conflict management style on team innovation performance in remote R&D teams in China based on social cognition theory and two-dimension theory. A theoretical model is constructed which describes the mediating effect of team psychological safety and the moderating impact of team trust. Paired data from 118 remote R&D teams in China including 118 leaders and 446 members were collected. The results show that team leader’s cooperative conflict management style is conducive to enhancing team psychological safety and further effectively improves team innovation performance. Therefore, team psychological safety has a mediating effect between team leader’s cooperative conflict management style and team innovation performance. In addition, team trust has a negative moderating effect between team leader’s cooperative conflict management style and team psychological safety. Besides, this study obtains some valuable culture-related insights and provides more views for conflict management research in the cross-cultural context since the samples in this study are from China, a society with high collectivism, which is different from the western cultural context from which many conflict management theories develop. Full article

Internet of Things (IoT) systems are revolutionizing traditional living to a new digital living style. In the past, a lot of investigations have been carried out to improve the technological challenges and issues of IoT and have focused on achieving the full potential of IoT. The foremost requisite for IoT software system developers seeking a competitive edge is to include project-specific features and meet customer expectations effectively and accurately. Any failures during the Requirements Engineering (RE) phase can result in direct or indirect consequences for each succeeding phase of development. The challenge is far more immense because of the lack of approaches for IoT-based RE. The objective of this paper is to propose a requirements risk management model for IoT systems. The method regarding the proposed model estimates requirements risk by considering both customers’ and developers’ perceptions. It uses multiple criteria using intuitionistic fuzzy logic and analytical technique. This will help to handle the uncertainty and vagueness of human perception, providing a well-defined two-dimensional indication of customer value and risk. The validity of the approach is tested on real project data and is supported with a user study. To the best of our understanding, literature lacks the trade-off analysis at the RE level in IoT systems and this presented work fills this prerequisite in a novel way by improving (i) requirements risk assessment for IoT systems and (ii) handling developers’ subjective judgments of multiple conflicting criteria, yielding more concrete and more observable results. Full article