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The purpose of this paper is to examine the structure, patterns and themes of interdisciplinary collaborations in the digital humanities (DH) research through the application of social network analysis and visualization tools.

The sample includes articles containing DH research in the Web of Science Core Collection as of December 2018. First, co-occurrence data representing collaborations among disciplinary were extracted from the subject category. Second, the descriptive statistics, network indicators and interdisciplinary communities were calculated. Third, the research topics of different interdisciplinary collaboration communities based on system keywords, author keywords, title and abstracts were detected.

The findings reveal that while the scope of disciplines involved in DH research is broad and evolving over time, most interdisciplinary collaborations are concentrated among several disciplines, including computer science, library and information science, linguistics and literature. The study further uncovers some communities based on closely collaborating disciplines and the evolving nature of such interdisciplinary collaboration communities over time. To better understand the close collaboration ties, the study traces and analyzes the research topics and themes of the interdisciplinary communities. Finally, the implications of the findings for DH research are discussed.

This study applied various informetric methods and tools to reveal the collaboration structure, patterns and themes among disciplinaries in DH research.

The present study examined the role of voice in facilitating interdisciplinary collaboration. According to the group-value model of procedural justice, voice relates to interpersonal relationships among coworkers because it facilitates a greater interest in helping the group (e.g. group-serving behavior). We argue that because of the relationship between voice and one type of group-serving behavior--advice sharing--that greater perceptions of voice would also predict more collaboration. In a field study examining collaborative social networks among university researchers, we found that greater perceptions of voice positively related to both degree of advice sharing and collaboration. Moreover, the extent to which individuals shared advice fully mediated the relationship between perceived voice and collaboration. Implications for voice and collaboration are discussed.

The purpose of this paper is to develop an analytic framework for studying interdisciplinary learning in collaboration between schools and child support services. The analytic framework connects the concept of boundary crossing with the social–psychological processes of trust and identity formation.

The paper is written from a theoretical point of view. Empirical research data from two schools are used to illustrate the use and merit of the proposed framework.

The framework proved to be useful for identifying the level of co-work in the two schools. In addition, the framework helped to shed light on how the support for trust and identity formation by the school management aids interdisciplinary learning.

The most essential feature of the suggested framework is its use of complex theoretical concepts. Examining each concept in detail would ignore the interconnected nature of concepts in the framework, as well as the fact that it is not yet known how this interconnectedness works. Therefore, the framework is based on a generalised use of the concepts.

The contribution of the framework for practice lies in its potential to shed light on how processes in interdisciplinary collaboration can be shaped. The framework can be used to inform contextual interventions that seek to optimize collaborative structures.

The paper contributes to understanding the complex processes that constitute interdisciplinary learning in collaboration.

The purpose of this research was to understand the role of interdisciplinarity in research and how communication structures and processes at universities facilitates such work.

Twenty-one semi-structured interviews with administrators, faculty, and staff from US R-1 Carnegie-designated higher education institutions were conducted.

Institutional culture reportedly drives interdisciplinary research efforts and participants offered different values associated with pursuing interdisciplinary work. Participants also shared formal and informal incentives that motivate their pursuit of interdisciplinary collaborations. Participants seemed to prefer a blended centralized-decentralized approach for the communication function's support of interdisciplinary research efforts.

This research fills a gap in understanding of how organizational capacities, structures and processes support collaborative research work and public communication about such work.

The aim of this study is to profile interdisciplinary accounting research and the facilitating role played by researchers by probing the characteristics of published articles in three leading interdisciplinary accounting research journals, Accounting, Auditing and Accountability Journal (AAAJ); Accounting, Organizations and Society (AOS); and Critical Perspectives on Accounting (CPA).

Profiling analysis is undertaken with a broad scan of publication descriptors in AAAJ, AOS and CPA between 2005 and 2016. Profiling stems from identifying and quantifying the characteristics of interdisciplinary research, and with further analysis, infer generalisations about its content and the community of interdisciplinary researchers.

The published output of 1,462 articles is produced by 1,688 authors affiliated with 660 institutions in 52 countries. The two most high-ranking topics are social and environmental accounting and management accounting. The highest-ranked authors are Stephen Walker, Rob Bryer, Lee Parker and Yves Gendron. The most productive universities are the University of London, Cardiff University and the University of Manchester. The countries highly involved in interdisciplinary accounting research are the UK, USA, Australia and Canada.

The data is restricted by the sample of manuscripts based on three interdisciplinary accounting research journals for the period 2005–2016 and does not consider manuscripts published in other accounting and non-accounting journals. Additionally, the process of analysing publication descriptors to generate categorised lists was a complex process that may not be replicated precisely by other researchers.

The results reported in this study can assist researchers interested in interdisciplinary research on what they may expect to read and understand.

The present study profiles interdisciplinary research in accounting to gain a picture of the elements that comprise interdisciplinarity, which, at present, is without empirical investigation.

The purpose of this paper is to measure the degree of interdisciplinary collaboration in Big Data research based on the co-occurrences of subject categories using Stirling’s diversity index and specialization index.

Interdisciplinarity was measured utilizing the descriptive statistics of disciplines, network indicators showing relationships between disciplines and within individual disciplines, interdisciplinary communities, Stirling’s diversity index and specialization index, and a strategic diagram revealing the development status and trends of discipline communities.

Comprehensively considering all results, the degree of interdisciplinarity of Big Data research is increasing over time, particularly, after 2013. There is a high level of interdisciplinarity in Big Data research involving a large number of disciplines, but it is unbalanced in distribution. The interdisciplinary collaborations are not intensive on the whole; most disciplines are aggregated into a few distinct communities with computer science, business and economics, mathematics, and biotechnology and applied microbiology as the core. Four major discipline communities in Big Data research represent different directions with different development statuses and trends. Community 1, with computer science as the core, is the most mature and central to the whole interdisciplinary network. Accounting for all network indicators, computer science, engineering, business and economics, social sciences, and mathematics are the most important disciplines in Big Data research.

This study deepens our understanding of the degree and trend of interdisciplinary collaboration in Big Data research through a longitudinal study and quantitative measures based on two indexes. It has practical implications to study and reveal the interdisciplinary phenomenon and characteristics of related developments of a specific research area, or to conduct comparative studies between different research areas.

This study aims to explore key factors influencing the work of interdisciplinary university research teams of small size.

This is a multiple-case study of four interdisciplinary university research teams of small size in which science and/or engineering was an important component.

Data analysis revealed 17 critical factors classified into five groups. Although some factors were more influential than others, it was rather multiple factors at various levels of analysis, and not a single factor, that influenced the work of research teams. Another important finding was the identified need to develop project management capacity of university researchers. The study also revealed two strategies, conditioned on the availability of funds, that small university research teams use as a way to adapt to situational demands and research opportunities.

Although previous research examined various aspects pertinent to the work of industry research teams and large research groups, empirical research into interdisciplinary university research teams of small size has been limited.

The purpose of this paper is to promote a broadened view of service research and to demonstrate a path for integrating interdisciplinary perspectives with services marketing.

Two major streams of service literature are reviewed, highlighting key conceptual developments in each. Through synthesis of prior literature, a research framework and agenda are developed.

The findings indicate that major service research areas have been extensively explored, yet service literature is fragmented on key concepts. This can make it challenging to collaborate across disciplines. This work develops a framework for integrating concepts across disciplines to foster more impactful work.

This work presents a unique framework for integrating interdisciplinary perspectives with services marketing. Moreover, a research agenda for the specific purpose of promoting collaboration across disciplines is presented.

This chapter explores specializations within academic librarian practices, focusing on librarian research and collaboration. Academic librarian roles are transitioning from service providers to specialists, researchers, and collaborators. Roles have shifted to incorporate interdisciplinary research and collaboration; embedded librarianship; research data management expertise; information literacy instruction; and core curriculum development. In order to understand this shift in roles, a mixed methods research project undertaken with a Purdue University researcher and Purdue Libraries faculty that prompted the development of a research diagrammatic metaphor modeling the components of librarian-faculty collaboration. The model demonstrates the dynamics and roles in academic collaboration and interdisciplinary research. A generalization of the model applied to two librarian-faculty collaboration scenarios exemplifies how these components facilitate engagement and project management. Potentially the model could be operationalized to understand disciplinary differences and provide a framework of accountability for both faculty and librarians engaged in research projects.

Past studies have paid extensive attention to investigate learning issues in individual, organizational and team contexts. Learning activities in the workplace, however, often occur in the interdisciplinary dyadic context. Hence, the purpose of this paper is to clarify what factors make interdisciplinary dyads lead to better learning effects. The authors attempted to clarify two major agendas: What knowledge factors (intellectual capitals) owned by the parties of the dyads can induce better learning effects? What contextual factors (learning tasks) can make better learning effects during the dyadic learning process?

To examine the previous agendas, the authors first conducted in-depth interviews and an exploratory survey so that a four-element dyadic intellectual capital (DIC) architecture was circumscribed: knowledge interdependency, expertise similarity, collaborative routines and mutual trust. Dyadic learning tasks were classified as exploitative and exploratory learning. The authors then sampled 248 respondents for the formal empirical survey to examine the relationship between DIC, dyadic learning tasks and knowledge sharing.

The statistical evidences confirmed the positive relationships between DIC and knowledge sharing, and the results also signified the previous relationships with a mediating effect from exploratory learning, while the effect of exploitative learning was not supported. Thus, only dyads (the two heads) with knowledge interdependency and mutual trust can make the exploratory task better than that of one individual (the one head).

This study provides a new insight into the learning issue with an interdisciplinary dyadic perspective to supplement the existing gap between academic efforts and learning practices in the workplace.