The anatomy of an award-winning meta-analysis: Recommendations for authors, reviewers, and readers of meta-analytic reviews

P Steel, S Beugelsdijk, H Aguinis - Journal of International Business …, 2021 - Springer
Meta-analyses summarize a field's research base and are therefore highly influential.
Despite their value, the standards for an excellent meta-analysis, one that is potentially …

Precision health: the role of the social and behavioral sciences in advancing the vision

E Hekler, JA Tiro, CM Hunter… - Annals of Behavioral …, 2020 - academic.oup.com
Abstract Background In 2015, Collins and Varmus articulated a vision for precision medicine
emphasizing molecular characterization of illness to identify actionable biomarkers to …

[PDF][PDF] TheoryOn: A design framework and system for unlocking behavioral knowledge through ontology learning

J Li, K Larsen, A Abbasi - MIS Quarterly, 2020 - par.nsf.gov
The scholarly information-seeking process for behavioral research consists of three phases:
searching, accessing, and processing of past research. Existing IT artifacts, such as Google …

[HTML][HTML] The Digital Therapeutics Real-World Evidence Framework: An Approach for Guiding Evidence-Based Digital Therapeutics Design, Development, Testing, and …

M Kim, K Patrick, C Nebeker, J Godino, S Stein… - Journal of Medical …, 2024 - jmir.org
Digital therapeutics (DTx) are a promising way to provide safe, effective, accessible,
sustainable, scalable, and equitable approaches to advance individual and population …

Extending the Foresight of Phillip Ein-Dor: Causal Knowledge Analytics

RT Watson, YA Song, X Zhao… - Journal of the Association …, 2024 - aisel.aisnet.org
Abstract Phillip Ein-Dor advocated that electronic journals be more than a PDF of the
established text model. He envisioned a transformation of scholarship. The need for such a …

A framework for ontology-based knowledge synthesis from research articles

S Huettemann, R Mueller, K Larsen, B Dinter - 2024 - aisel.aisnet.org
We present a framework for ontology-based knowledge synthesis from research articles to
support researchers in conducting literature reviews and gaining comprehensive insights …

Research method classification with deep transfer learning for semi-automatic meta-analysis of information systems papers

A Anisienia, RM Mueller, A Kupfer, T Staake - 2021 - aisel.aisnet.org
This paper presents an artifact that uses deep transfer learning methods for the multi-label
classification of research methods for an Information Systems corpus. The artifact can …

Toward an open mechanistic science of behavior change.

E Hekler, AC King - Health Psychology, 2020 - psycnet.apa.org
Abstract The Science of Behavior Change Network (SOBC) offers a pragmatic “experimental
medicine” approach for advancing mechanisms of change regarding behavior. The key …

Hey Article, What Are You About? Question Answering for Information Systems Articles through Transformer Models for Long Sequences

L Ebert, S Huettemann, RM Mueller - 2023 - scholarspace.manoa.hawaii.edu
Question Answering (QA) systems can significantly reduce manual effort of searching for
relevant information. However, challenges arise from a lack of domain-specificity and the …

Machine Reading of Hypotheses for Organizational Research Reviews and Pre-trained Models via R Shiny App for Non-Programmers

VZ Chen, F Montano-Campos, W Zadrozny… - arXiv preprint arXiv …, 2021 - arxiv.org
The volume of scientific publications in organizational research becomes exceedingly
overwhelming for human researchers who seek to timely extract and review knowledge. This …