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Call for Papers
Journal: Data and Information Management
(
https://www.journals.elsevier.com/data-and-information-management)
Special issue: Systematic Review and Meta-analysis in Information
Management Research
Given the importance of both methods in advancing academic
research, we call for papers addressing research questions in
information management research using systematic literature review
and/or meta-analysis techniques.
Guest editors:
Associate Professor Jian Mou, PhD
School of Business, Pusan National University, Busan, South Korea
(
jian.mou@pusan.ac.kr)
Professor Jason Cohen, PhD
School of Business Sciences, University of the Witwatersrand,
Johannesburg, South Africa
(
jason.cohen@wits.ac.za)
Special issue information:
Systematic literature review and meta-analytic methods are being
widely adopted by scholars in diverse fields, and are particularly
useful for providing an overview of a certain issue. In the field
of information management and information systems, there are many
literature review papers addressing privacy issues, health
misinformation, enterprise security, IS offshoring, and so on. In
addition, more than 30 meta-analysis papers have been published in
AIS senior basket journals during last few decades. Both methods
are important to systematically examine prior research, synthesize
and resolve inconsistencies in prior findings, and provide
benchmarks for future studies. Furthermore, scholars can employ
literature review and meta-analysis to build and test theory in a
specific domain and research phenomenon.
But they have some important differences. Systematic literature
reviews integrate findings from a body of literature or domain in
a narrative manner (Combs et al., 2019), while meta-analyses
correct measurement and sampling errors to estimate true
correlations between the studied variables (Glass et al., 1981)
and often provide information about the variables moderating the
magnitude of relationships being investigated (Rosenthal,1994).
Given the importance of both methods in advancing academic
research, we call for papers addressing research questions in
information management research using systematic literature review
and/or meta-analysis techniques. We particularly welcome papers
that make significant contributions in the following ways: (1)
outline the scope of a topical domain and overview the current
state of research, (2) resolve inconsistencies and highlight
research gaps across extant studies, (3) accumulate and synthesize
extant knowledge, and (4) derive future research directions
(Hulland & Houston, 2020).
We will not limit the research topics and welcome studies with a
wide range of topics applying these research methods in the field
of information management. In general, we expect to receive
articles in two broad categories:
(1) Methodological articles highlighting novel or underutilized
techniques that can be used to conduct systematic literature
review and meta-analysis research in information management
research;
(2) Systematic review and meta-analysis research papers that make
important contributions to the emerging topics, such as big data
and analytics, dark sides of IS, health informatics, artificial
intelligence, cloud computing, block chain, sharing economy,
metaverse, FinTech, etc.
Manuscript submission information:
We encourage original and high-quality submissions that are not
submitted to or accepted by other journals. Significantly extended
version of conference or workshop papers (essentially 30% novel
content) are welcome.
For research papers, the authors are expected to highlight the
contribution of the submitted article in the cover letter.
Submitted papers must conform to the author guidelines available
on the DIM journal website at
https://www.elsevier.com/journals/data-and-information-management/2543-9251/guide-for-authors.
Authors are required to submit their manuscripts online through
the DIM submission site at
https://www.editorialmanager.com/dim,
and choose the article type "SI: Systematic review".
Please submit your paper before the due date, 30th June 2023. For
any questions or queries, reach out to our Managing Guest Editor,
Associate Professor Jian Mou at
jian.mou@pusan.ac.kr.
Jian Mou
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