Enterprise university as a digital ecosystem: Visual analysis of academic collaboration

Nankani, Ekta; Simoff, Simeon; Denize, Sara M; Young, Louise

doi:10.1109/dest.2009.5276678

Cited by 8 publications

(4 citation statements)

References 16 publications

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“…Nankani et al [6] detailed the need for information about a research ecosystem's structure and Fragidis et al [7] called for improved support of research activities.…”

Section: Related Workmentioning

confidence: 99%

Email triage with Mind Meshes

Harbach

Muders

Groeper

et al. 2011

5th IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST 2011)

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While efficient email triage is a well-known problem, the currently used email filtering solutions are still rudimentary and machine centric. Most filtering solutions work best if humans add machine interpretable keywords to the subject line of emails. More natural filtering options, such as project membership lists or content-based filtering, are very time consuming to set up and maintain. Especially in research ecosystems, significant fluctuation in team members, organisations and projects themselves is common. Research projects are also usually managed in an adhoc manner, making static filtering rules a sub-optimal solution. In this paper we therefore introduce the Mind Mesh paradigm, a novel human-friendly information management approach. Based on a self-describing graph structure, organisational structures, projects, and collaborations are modelled. Leveraging this information, the system can automate and support administrative processes such as email filtering, based on an understanding of the project structures. It relieves users of the necessity to maintain machine interpretable rules by hand and adapts to new situations by itself.

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“…Nankani et al [6] detailed the need for information about a research ecosystem's structure and Fragidis et al [7] called for improved support of research activities.…”

Section: Related Workmentioning

confidence: 99%

Email triage with Mind Meshes

Harbach

Muders

Groeper

et al. 2011

5th IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST 2011)

View full text Add to dashboard Cite

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“…Bibliometric data and analysis of research production are meaningful topics of research for information visualization and, later, visual analytics: specifically, several works have been dedicated to data on research productivity [8], analysis of scientific communities and topics [9], fine-grained analysis [10], or visual narration [11] of an author's career. The used approaches may be divided into different categories according to the data they handle, as extensively reported in the survey by Federico et al [1]: among them, we single out the category that includes approaches using only paper metadata, and the one that focuses on the paper's textual content [12].…”

Section: Related Workmentioning

confidence: 99%

Authoring and Reviewing Bibliographies: Design and Development of a Visual Analytics Online Platform

2022

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Researchers are daily engaged in bibliographic tasks concerning literature search and review, both in the role of authors of scientific papers and when they are reviewers or evaluators. Current indexing platforms offer powerful tools for searching bibliographic references, but in general they poorly support the integration, visualization and comparative analysis of metadata coming from subsequent searches. To address these issues, we designed and realized VisualBib (va) , an online analytics solution, where a visual environment includes analysis control, bibliography exploration, automatic metadata extraction and metrics visualization for real-time scenarios. Starting from an analysis of tasks, associating them to different user roles, this study enabled us to define a taxonomy of tasks, strictly linked to a set of system requirements for our platform. We introduce and discuss here some relevant functions through two usage scenarios related to the creation and the review of a bibliography. The maturity of the system implementation has allowed us to propose a set of evaluation activities, both carried out by two groups of users with different levels of experience in managing bibliographies, and to collect detailed results based on specific tasks and on general aspects of our framework. VisualBib (va) proved an effective and efficient system for the authoring and reviewing processes of a bibliography.

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“…For instance, enterprise institutes use VATs to take into account market factors such as student fee incomes, budget allocations, environment factors, and others, resembling corporate governance. ey make use of VATs for academic collaboration analysis from a realtime dataset in order to extend marketing strategy support for executive teams [42]. Such collaborative business intelligence is also applied in Dayal et al's [43] study, resulting in facilitating strategic management [44,48].…”

Section: Rq1: What Is the Definition Concerning Vats And Howmentioning

confidence: 99%

Introducing Business Visual Analytics into Business Education by Information Technology and Computing Methods

Yu-yu

Chan²,

Liu

2022

Mobile Information Systems

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Business students feel an urgency to be competent involving business intelligence in their studies and career. This study examines the current literature on business visual analytic technologies (VATs), both in the business community and in business learning, and points out consideration as a research gap in the existing literature. We conduct a systematic review with database searches from 2006 to 2020. The objectives of the review are to identify (a). the existing terminologies related to VATs in the literature; (b). the purpose of VAT application and the benefits of VATs in the business community; and to examine (c). how the VATs are related to the educational context, particularly, in business learning. The findings indicate that VATs provide positive enhancement in business analytics; however, the effect of VAT application in business learning is rather limited. We provide insights for further studies involving VAT-enhanced business learning.

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Enterprise university as a digital ecosystem: Visual analysis of academic collaboration

Cited by 8 publications

References 16 publications

Email triage with Mind Meshes

Email triage with Mind Meshes

Authoring and Reviewing Bibliographies: Design and Development of a Visual Analytics Online Platform

Introducing Business Visual Analytics into Business Education by Information Technology and Computing Methods

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