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Many, if not most, academic researchers interested in international business have worked on teams made up of individuals from many different countries. Ironically, there has been little research attempting to explain the unique dynamic of such teams and their advantages and disadvantages. The goal of this paper is to develop a model of international academic research teams with an aim towards understanding how they can be managed more effectively. We highlight some of the important variables that affect team functioning and discuss their relationships with both antecedents and outcomes. Specific propositions are developed and their implications are discussed.

In today’s digital economy, it is very important to cultivate digital professionals with advanced interdisciplinary skills. The purpose of this paper is that universities play a vital role in this effort, and research teams need to use the synergistic effect of various educational methods to improve the quality and efficiency of personnel training. For these teams, a powerful evaluation mechanism is very important to improve their innovation ability and the overall level of talents they cultivate. The policy of “selecting the best through public bidding” not only meets the multi-dimensional evaluation needs of contemporary research, but also conforms to the current atmosphere of evaluating scientific and technological talents.

Nonetheless, since its adoption, several challenges have emerged, including flawed project management systems, a mismatch between listed needs and actual core technological needs and a low rate of conversion of scientific achievements into practical outcomes. These issues are often traced back to overly simplistic evaluation methods for research teams. This paper reviews the literature on the “Open Bidding for Selecting the Best Candidates” policy and related evaluation mechanisms for research teams, identifying methodological shortcomings, a gap in exploring team collaboration and an oversight in team selection criteria.

It proposes a theoretical framework for the evaluation and selection mechanisms of research teams under the “Open Bidding for Selecting the Best Candidates” model, offering a solid foundation for further in-depth studies in this area.

Research progress on the Evaluation Mechanism of Scientific Research Teams in the Digital Economy Era from the Perspective of “Open Bidding for Selecting the Best Candidates.”

Team cohesion and other team processes are inherently dynamic mechanisms that contribute to team effectiveness. Unfortunately, extant research has typically treated team cohesion and other processes as static, and failed to capture how these processes change over time and the implications of these changes. In this chapter, we discuss the characteristics of team process dynamics and highlight the importance of temporal considerations when measuring team cohesion. We introduce innovative research methods that can be applied to assess and monitor team cohesion and other process dynamics. Finally, we discuss future directions for the research and practical applications of these new methods to enhance our understanding of the dynamics of team cohesion and other processes.

This commentary describes (1) the role of group communication research in Communication Departments and (2) reflects my personal experiences in conducting group and team research with international and interdisciplinary group scholars. I describe the challenges associated with research funding, research space, participant pools, and research technology. Additionally, I address international and interdisciplinary influences (i.e., team science, university/government/industry collaboration) on communication research. This chapter concludes by identifying interdisciplinary contexts for group and team communication research including children and teens' groups, healthcare teams, and robot–human teams.

Teamwork has become increasingly prevalent both in undertaking research projects and in preparing papers for publication. While there are some reflections on the process of teamworking in the organisational studies literature, there is little published work in the area of entrepreneurship. Most existing studies distinguish between problems associated with task-based conflict and relationship-based conflict. In this chapter, the author provides an ethnographic account of a team involved with preparing a proposal and, subsequently, undertaking a small firm research project. The Evolution of Business Knowledge (EBK) was a major Economic and Social Research Council (ESRC) initiative which funded 13 distinct projects. During the nine-month period of preparing and refining the research proposal, the team worked together extremely effectively. There were periods of intense knowledge sharing, which enabled the team to develop an impressive and successful bid to study the ‘EBK in 90 small firms’. A major dispute between team members, during the early stages of the fieldwork, led to a period of both task-based and relationship-based conflicts, which threatened to undermine the project. As a result of my first-hand experiences with the EBK project, the author suggests that accounts such as this will help those who find themselves operating in dysfunctional teams make sense of the underlying tensions associated with ‘academic knowledge creation’.

The purpose of this paper is to examine how research teams serve as building blocks for collaboration at a field level, and how these building blocks are assembled by a network of interacting organizations. The field setting is a medical sciences consortium in Australia established to encourage collaborative and entrepreneurial research among government, industry, research centers and university units. This consortium is examined as a case study. The analysis demonstrates how collaboration evolved at three interacting levels: research team, organization and interorganizational field.

The main findings are: (1) Intellectual property (IP) acts as the key orienting agent in this field to align the behavior of various stakeholders and leverage collaborative and entrepreneurial activity. (2) Tensions between the different ways that the commercial and public sector actors value IP serve to structure the interfaces among the consortium, the member organizations and the research teams. (3) The consortium is a key infrastructural element in the creation of collaborative capital in the Australian biotechnology field studied. The main contribution of the study is to highlight the nature of collaborative capital at a field level and begin to explore its implications.

This study aims to examine the connection between scholars' research performance and the multidisciplinary nature of their collaborative research. Furthermore, in response to mixed results regarding the effects of multidisciplinarity on research performance, this study explores how human resource management (HRM) practices may moderate this link.

The authors built a model based on the theoretical arguments and empirical evidence found in the review of diversity and HRM literature. The authors also performed a quantitative study based on a sample of scholars in the field of management. Different econometric estimations were used to test the proposed model.

The results of this empirical analysis suggest that multidisciplinary research has a non-linear effect on research performance. Certain HRM practices, such as development and collaboration, moderated the curvilinear relationship between multidisciplinarity and performance, displacing the optimum to allow higher performance at higher levels of multidisciplinary research.

The paper provides advances on previous works studying the curvilinear relationship between multidisciplinarity and the researchers' performance, confirming that multidisciplinarity is beneficial up to a threshold beyond which these benefits are attenuated. In addition, the findings shed light on important issues related to team-oriented HRM practices associated with the outcomes of multidisciplinary research.

The purpose of this paper is to expand the use of ethnography to advance research on team science by revealing the barriers to teamwork as manifesting at institutional, cultural, and interpersonal contextual scales. The analysis suggests strategies to enhance team science's collaborative potential.

This paper considers some of the practical and analytical challenges of team science through the use of ethnographic methods. The authors formed a three-person subteam within a larger multisited, federally-funded, interdisciplinary scientific team. The authors conducted six months of participant observation, semi-structured interviews, and a focus group, using iterative deductive and inductive analyses to investigate the larger team's roles, relationships, dynamics, and tensions.

Integrating ethnography into the study of team science can uncover and mitigate barriers faced by teams at three primary levels: (1) academic culture, (2) institutional structures, and (3) interpersonal dynamics. The authors found that these three contextual factors are often taken for granted and hidden in the team science process as well as that they are interactive and influence teams at multiple scales of analysis. These outcomes are closely related to how team science is funded and implemented in academic and institutional settings.

As US federal funding initiatives continue to require scientific collaboration via inter-, multi-, and transdisciplinary research, there is little work done on how teams grapple with the practical tensions of scientific teamwork. This paper identifies and addresses many practical tensions and contextual factors across institutional and organizational structures that affect and challenge the conduct of collaborative scientific teamwork. The authors also argue that ethnography can be a method to challenge myths, understand contextual factors, and improve the goals of team science.

Proper topic selection is an essential prerequisite for the success of research. To study this, this article proposes an important concerned factor of topic selection-topic popularity, to examine the relationship between topic selection and team performance.

The authors adopt extracted entities on the type of gene/protein, which are used as proxies as topics, to keep track of the development of topic popularity. The decision tree model is used to classify the ascending phase and descending phase of entity popularity based on the temporal trend of entity occurrence frequency. Through comparing various dimensions of team performance – academic performance, research funding, relationship between performance and funding and corresponding author's influence at different phases of topic popularity – the relationship between the selected phase of topic popularity and academic performance of research teams can be explored.

First, topic popularity can impact team performance in the academic productivity and their research work's academic influence. Second, topic popularity can affect the quantity and amount of research funding received by teams. Third, topic popularity can impact the promotion effect of funding on team performance. Fourth, topic popularity can impact the influence of the corresponding author on team performance.

This is a new attempt to conduct team-oriented analysis on the relationship between topic selection and academic performance. Through understanding relationships amongst topic popularity, team performance and research funding, the study would be valuable for researchers and policy makers to conduct reasonable decision making on topic selection.