Understanding Users' Group Behavioral Decisions About Sharing Articles in Social Media: An Elaboration Likelihood Model Perspective

Group Decision and Negotiation - The decision to share information is a common phenomenon in individuals’ daily social media use (e.g., Twitter, micro-blogs). However, research on the...     

Trust Evolvement in Hybrid Team Collaboration: A Longitudinal Case Study

Trust is referred to as a key facilitator in team collaboration as it is an important condition for information sharing. In this paper, we investigate factors associated with the establishment of trust in hybrid teams that collaborate virtually as well as face-to-face. Furthermore, we deliver an instrument to understand trust development in teams. We describe exploratory results of the instrument by running experiments with teams of collaborating students in China and Netherlands. Quantitative and qualitative analysis has been used to analyze these data. Finally, in the analysis of the experiments we describe initial patterns of trust development in groups from both individual and group perspectives, in two different cultural contexts.     

Exploring Individual Trust Factors in Computer Mediated Group Collaboration: A Case Study Approach

Trust has become more and more important in the context of mixed use of longitudinal face-to-face and computer mediated group collaboration using Group Support System tools. Previous research has investigated trust factors in different dimensions. This paper takes the perspective of individual trust and aims to explore the new trust factors and also their detailed second level trust sub-factors in computer mediated collaboration over time. We have taken the interviews using the student groups during the two year-long collaboration project based case studies. We have validated the previous factors and found seven new trust factors and thirty one sub-factors which are associated with the main factors. Furthermore, based on the new factors, this paper has also designed an innovative trust traffic light model with suggested steps which could be easily used to help analyze the trust factors development over time for future longitudinal studies.     

Trust and Group Efficiency in Multinational Virtual Team Collaboration: A Longitudinal Study

Trust plays a central role in team collaboration, especially in multinational virtual teams. However, our understanding of how different types of trust interact to influence group work efficiency in this context is still limited. This study investigates the development of two types of trust and group efficiency over time in the multinational virtual team context. Three analysis phases were conducted in this research: phase 1 included a qualitative analysis of an online interview with 120 respondents in multinational virtual team collaborations over 5 weeks, phase 2 comprised a general analysis of the trust and group efficiency development with the same respondents, and phase 3 included a quantitative analysis of the interaction effects of trust on group efficiency. The results provide insights into the antecedents of group efficiency and reveal the trend of trust and group efficiency development over time. The authors also investigate trust and group efficiency from the deconstructed and decomposed perspectives. This study contributes to current research by providing evidence on the development of trust and group efficiency and by investigating the interaction effects of trust in the multinational virtual team collaboration context.

     

新兴建导式团队协作研究述评与前沿问题展望

新兴信息技术和互联网的发展使得团队协作在管理学等领域的研究中进入了一个新的纪元,社会各界也迫切需要提高团队协作效率。近年来，在国际上兴起了协作工程学（Collaboration Engineering）这一新兴的交叉领域,它吸引着众多的学者来进行建导式协作（Facilitated Collaboration）等协作工程学方面的研究。介绍了国际上关于建导式协作系列研究的学术方向，引入了思想利丝（Thinklets）的概念，并对其研究方法、发展趋势和相关资料作了相应综述和讨论，最后提出了未来研究的若干热点问题，并针对这一领域的发展方向进行了展望。     

基于权值优化的认知WiMax信号协同识别

传统的正交频分复用（OFDM）系统识别算法只能识别出接收信号是否为基于全球微波互联接入技术（WiMax）的OFDM信号，但无法判断该信号是认知信号，并且在复杂电磁环境下识别正确率低。为此，提出了一种协同识别认知WiMax无线网络OFDM信号的算法。该算法首先利用OFDM信号的循环自相关特性估计信号的有用符号时间，并通过估计各协同感知节点的信噪比对时间参数的估计值进行加权，得到有用符号时间的协同估计值，进而判断接收信号是否为基于WiMax系统的OFDM信号；再通过自私攻击策略，实现对OFDM信号是否是认知WiMax信号的判别，为进一步研究认知WiMax网络节点定位技术奠定了基础。仿真结果表明，与非协同识别算法相比，提出的协同识别算法在多径和低信噪比条件下具有更高的识别率。