Meta-analysis applications in information systems domains Short Title SI: Meta-analysis in IS
in Special Issue Posted on November 16, 2020Information for the Special Issue
Submission Deadline: | Thu 30 Dec 2021 |
Journal Impact Factor : | 8.210 |
Journal Name : | International Journal of Information Management |
Journal Publisher: |
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Website for the Special Issue: | https://www.journals.elsevier.com/international-journal-of-information-management/call-for-papers/call-for-papers-special-section-ijim-theme-meta-analysis-app |
Journal & Submission Website: | https://www.journals.elsevier.com/international-journal-of-information-management |
Special Issue Call for Papers:
International Journal of Information Management
Editor: Yogesh Dwivedi
Call for Papers (Special Section @ IJIM)
Theme: Meta-analysis applications in information systems domains
Short Title SI: Meta-analysis in IS
Scope:
As the information systems (IS) discipline continues to mature and subsume various domains of research, opportunities to examine prior research, synthesize findings, resolve inconsistencies, identify gaps in knowledge, and determine directions for future research assume greater importance. These can be handled using meta-analysis, a family of methods which enables the aggregation and analysis of prior empirical findings (Glass et al. 1981; Hedges and Olkin 1985; Hunter and Schmidt 1990; Rosenthal 1991; Lipsey and Wilson 2001; Borenstein et al. 2009). Despite general criticisms such as “apples and oranges” and “garbage in, garbage out,” meta-analysis has received considerable attention in IS research over the last few decades (Jeyaraj and Dwivedi 2020).
This special issue provides the opportunity for researchers to publish meta-analysis research in information systems and related domains. Prior IS literature offers guidance on various aspects of conducting meta-analysis (Hwang 1996; King and He 2005; Wu et al. 2018; Jeyaraj and Dwivedi 2020). All types of meta-analysis studies (i.e., both exploratory and confirmatory meta-analysis studies using reported effect sizes or derived metrics) as described in Jeyaraj and Dwivedi (2020) are encouraged. Papers that offer advances in meta-analysis methods, refinements of prior meta-analysis research, or fresh perspectives of meta-analysis research are also welcome.
Important Dates
Manuscript submission deadline: 30-Dec-2021
Notification of review: 30-Apr-2022
Revision due: 30-Jun-2022
Notification of second review: 30-Aug-2022
Second revision (if needed) due: 15-Sep-2022
Notification of final acceptance:30-Sep-2022
Expected publication: TBD
Submission Guidelines
All submissions have to be prepared according to the Guide for Authors as published in the Journal’s website at: https://www.elsevier.com/journals/international-journal-of-information-management/0268-4012/guide-for-authors
Authors should select “SI: Meta-analysis in IS”, from the “Choose Article Type” pull- down menu during the submission process. All contributions must not have been previously published or be under consideration for publication elsewhere.
Link for submission of manuscripts: https://www.editorialmanager.com/jjim/default.aspx
A submission based on one or more papers that appeared elsewhere must bear major value-added extensions or updates (at least 85% of new material). Authors are requested to attach to the submitted paper their relevant, previously published articles and a summary document explaining the enhancements made in the journal’s version. All submitted papers will undergo a rigorous peer-review process that will consider programmatic relevance, scientific quality, significance, originality, style and clarity.
Guest Editors
Anand Jeyaraj
Wright State University, Dayton, OH, USA
Phone: +1-937-775-2189
Email: [email protected]
Jennifer Gerow
Virginia Military Institute, Lexington, VA, USA
Phone: +1-540-464-7278
Email: [email protected]
Mark Hwang
Central Michigan University, Mount Pleasant, MI, USA
Phone: +1-989-774-5900
Email: [email protected]
Nicholas Roberts
Colorado State University, Fort Collins, CO, USA
Phone: +1-970-491-2871
Email: [email protected]
Tiago Oliveira
NOVA Information Management School (NOVA IMS)
Universidade Nova de Lisboa, Lisboa, Portugal
Phone: +351-213828610
Email: [email protected]
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