[AISWorld] CFP-Systematic Review and Meta-analysis in Information Management Research

[JOSE MANUEL MORA TAVAREZ]

SLR is now the most-fashioned literature review method.  Modern SLR was proposed in Nursing research (30 years ago) and became famous in Software Engineering in the 2000 decade (15+ years ago). Now MIS research fosters SLR. However, Selective Literature Reviews and other types of reviews (Cooper, 1988) are also valid and necessary. Not all researchers have the financial resources to collect all papers required for an SLR. Valid and ethical MIS top research must be not biased by fashion waves. And the worst situation is the petition from some reviewers in some JCRs always asks for SLRs. It is absurd.

Top references:

Kitchenham, B.: Procedures for Performing Systematic Reviews. Joint Technical Report Software Engineering Group, Keele University, United Kingdom and Empirical Software Engineering, National ICT Australia Ltd, Australia (2004).

O'Connor, S. E. (1992). Network theory—a systematic method for literature review. Nurse Education Today, 12(1), 44-50.

Cooper, H. M. (1988). Organizing knowledge syntheses: A taxonomy of literature reviews. Knowledge in society, 1(1), 104-126.

Glass, R. L., Ramesh, V., & Vessey, I. (2004). An analysis of research in computing disciplines. Communications of the ACM, 47(6), 89-94.

Mora, M., Gelman, O., Steenkamp, A. L., & Raisinghani, M. (Eds.). (2012). Research Methodologies, Innovations and Philosophies in Software Systems Engineering and Information Systems. IGI Global. https://doi.org/10.4018/978-1-4666-0179-6





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Manuel Mora, EngD.
Full-time Professor and Researcher Level C
ACM Senior Member / SNI Member
Department of Information Systems
Autonomous University of Aguascalientes
Ave. Universidad 940
Aguascalientes, AGS
Mexico, 20131
Linkedin Weblink<https://www.linkedin.com/in/manuel-mora-37b03a1/> / ResearchGate Weblink<https://www.researchgate.net/profile/Manuel_Mora>
Scholar Google Weblink / <https://scholar.google.com.mx/citations?user=97rTgbkAAAAJ&hl=en&oi=sra> SCOPUS Weblink<https://www.scopus.com/authid/detail.uri?authorId=25823339800>
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________________________________
From: AISWorld <aisworld-bounces at lists.aisnet.org> on behalf of 牟健 <jian.mou at xidian.edu.cn>
Sent: Friday, January 27, 2023 7:52 PM
To: aisworld at lists.aisnet.org <aisworld at lists.aisnet.org>
Subject: [AISWorld] CFP-Systematic Review and Meta-analysis in Information Management Research

Dear colleagues,

We are running a special issue in the Data and Information Management 【SCOPUS】.

Please see below call for paper.




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 at pusan.ac.kr)

Professor Jason Cohen, PhD

School of Business Sciences, University of the Witwatersrand, Johannesburg, South Africa

(jason.cohen at 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 five aspects as listed above in the cover letter. Submitted papers must conform to the author guidelines available on the DIM journal website at https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.elsevier.com%2Fjournals%2Fdata-and-information-management%2F2543-9251%2Fguide-for-authors&data=05%7C01%7Cjose.mora%40edu.uaa.mx%7C278c4ca15aaf4730764608db00d31b08%7Ce1e2e29221d64849b7104d47d9578ad0%7C0%7C0%7C638104678920206100%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=JfWtbzzTiJlp08ZQVBzXZ4OQ2pbvoeSk%2Fjty5IWVKwA%3D&reserved=0. Authors are required to submit their manuscripts online through the DIM submission site at https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.editorialmanager.com%2Fdim&data=05%7C01%7Cjose.mora%40edu.uaa.mx%7C278c4ca15aaf4730764608db00d31b08%7Ce1e2e29221d64849b7104d47d9578ad0%7C0%7C0%7C638104678920206100%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=dcPAWVvQEhUXsPS2bBKdcdX4tLKEFqdhJhMSbo9oGF8%3D&reserved=0, 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 at pusan.ac.kr.

Keywords:

information management, information systems, literature review, systematic review, meta-analysis, meta-synthesis




Regards

Jian mou​
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