Characteristics of Expertise Locator System in Academia: A Systematic Literature Review

Rampisela, Theresia V.; Elisabeth, Damayanti; Sensuse, Dana Indra

doi:10.1109/isitia49792.2020.9163671

Cited by 3 publications

(1 citation statement)

References 19 publications

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“…Furthermore, the current studies concerning expert finding systems retrieve collaborators based on the relevance between the user query and documents related to the collaborators and considered relevance as the most critical factor for collaborator selection [20,23,26,35,[37][38][39][40]. However, there are limitations to this consideration.…”

Section: Introductionmentioning

confidence: 99%

Modeling Academic Research Collaborator Selection Using an Integrated Model

et al. 2021

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Expert finding systems try to alleviate the information overload problem and recommend experts who can satisfy users' needs. They support researchers to find research collaborators automatically. The main challenge of current expert finding systems is that they retrieve experts based on the content of their documents but ignore the human interaction perspective. The human interaction perspective comprises the factors that influence collaborator selection decisions in real life. This study aimed to develop a collaborator selection model for expert finding systems in research universities. This model includes human capital, social capital, and cultural capital factors that influence collaborator selection. The researchers integrated the Scientific and Technical Human Capital (STHC) model and Social Capital Theory to determine these factors. The authors conducted a survey comprising 349 researchers from Malaysian research universities to validate the research hypotheses. A partial least squares structural equation model (PLS-SEM) was employed to analyze all the survey data. The empirical results revealed that the significant factors that influence collaborator selection in the research universities context were cognitive accessibility, reliability, relevance, commitment, physical accessibility, cultural experiences, complementary skills, and research experience. Surprisingly, the results revealed that network ties, relational accessibility, and reputation were insignificant factors for collaborator selection. This study proposed a research model for collaborator selection in the research universities context and provided several recommendations for the policymakers and practitioners. The model will help to provide sufficient criteria to select academic research collaborator in universities and can be used by expert finding systems designers, researchers, collaborators, and universities.

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Section: Introductionmentioning

confidence: 99%

Modeling Academic Research Collaborator Selection Using an Integrated Model

et al. 2021

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Knowledge Reuse Evaluation in Software Development: A Case Study on a Startup Company

Putrapratama

Adjandra

Wiraguna

et al. 2021

2021 Sixth International Conference on Informatics and Computing (ICIC)

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Driving Innovation Ecosystem Transformation via Digital Platforms and Knowledge Co-Creation

Sell,

Spinosa,

Wahrhaftig

et al. 2024

Advances in Business Information Systems and Analytics

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Co-production in public administration is essential for increasing societal participation in shaping impactful public policies. This chapter delves into the evolution and impact of the new research and innovation arrangements program (NAPI) in Paraná, Brazil. NAPI, an innovative approach, fosters networks for co-producing knowledge and innovation to address state challenges, rooted in the common principle. At the core of NAPI lies the iAraucária digital platform, harnessing artificial intelligence to streamline resource coordination among stakeholders in regional innovation systems, thereby nurturing research and innovation projects aligned with regional needs. Since its inception, NAPI has spurred the formation of over 60 arrangements, involving more than 4,000 participants in collaborative networks. Noteworthy outcomes include increased precision in research and innovation funding, the cultivation of stronger ties among ecosystem actors, and risk mitigation in public policy co-production, all making substantial contributions to Paraná's sustainable development.

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Characteristics of Expertise Locator System in Academia: A Systematic Literature Review

Cited by 3 publications

References 19 publications

Modeling Academic Research Collaborator Selection Using an Integrated Model

Modeling Academic Research Collaborator Selection Using an Integrated Model

Knowledge Reuse Evaluation in Software Development: A Case Study on a Startup Company

Driving Innovation Ecosystem Transformation via Digital Platforms and Knowledge Co-Creation

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