Communications of the Association for Information Systems Journal Impact Factor & Information

Journal description

Current impact factor: 1.29

Impact Factor Rankings

Additional details

5-year impact 0.00
Cited half-life 0.00
Immediacy index 0.00
Eigenfactor 0.00
Article influence 0.00
Website
ISSN 1529-3181

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: The accumulation of scientific knowledge is an important objective of information systems (IS) research. Although different review approaches exist in the continuum between narrative reviews and meta-analyses, most reviews in IS are narrative or descriptive — with all related drawbacks concerning objectivity and reliability — because available underlying sources in IS do typically not fulfil the requirements of formal approaches such as meta-analyses. To discuss how cumulative IS research can be effectively advanced using a more formalized approach fitting the current situation in IS research, in this paper, we point out the potential of stylized facts (SFs). SFs are interesting, sometimes counterintuitive patterns in empirical data that focus on the most relevant aspects of observable phenomena by abstracting from details (stylization). SFs originate from the field of economics and have been successfully used in different fields of research for years. In this paper, we discuss their potential and challenges for literature reviews in IS. We supplement our argumentation with an application example reporting our experience with SFs. Because SFs show considerable potential for cumulative research, they seem to be a promising instrument for literature reviews and especially for theory development in IS.
    Communications of the Association for Information Systems 08/2015; 37(1):225-256.
  • [Show abstract] [Hide abstract]
    ABSTRACT: We present ontological meta-analysis and synthesis as a method for reviewing, mapping, and visualizing the research literature in a domain cumulatively, logically, systematically, and systemically. The method highlights a domain’s bright spots that have been heavily studied, the light spots that have been lightly studied, the blind spots that have been overlooked, and the blank spots that have not been studied. It highlights the biases in a domain’s research; the research can then be realigned to make it stronger and more effective. We illustrate the method using the emerging domain of public health informatics (PHI). We present an ontological framework for the domain, map the literature onto the framework, and highlight its bright, light, and blind/blank spots. We also present detailed analyses using the ontological maps of dyads and triads. We conclude by discussing how (a) the results can be used to realign PHI research, and (b) the method can be used in other information systems domains.
    Communications of the Association for Information Systems 08/2015; 37:138-153.
  • Communications of the Association for Information Systems 03/2015; 36(1):317-336.
  • Communications of the Association for Information Systems 01/2015;
  • [Show abstract] [Hide abstract]
    ABSTRACT: Recently, the topic of Big Data and Analytics has received renewed attention from academia and practitioners. There has been a virtual explosion with Big Data and Analytics, given the overload and increasing 3Vs of information. Several research reports have shown that Big Data and Analytics remain top priority for CIOs. A recent studies show how a company accurately predicted the a Teen girl's pregnancy via the company's big data algorithm. However, there are dark sides to Big Data Analytics. A discussion of how companies ensure that Big Data projects clearly define measurable goals up front, what methods companies use to ensure maximum return and most effectively, how companies evolve culture, process and technology to simultaneously maximize return. Most companies are looking at how they can effectively manage their business more through using their data assets. Companies today target an average return of 7x for every dollar spent on Big Data projects. The problem is that most are only returning a fraction of that today, leaving a gap for both improvement, but also a possible push back on new analytic technologies. This paper covers these topics that were discussed by a panel of researchers at AMCIS 2014 in Savannah, GA.
    Communications of the Association for Information Systems 01/2015; Vol. 36(forthcoming).
  • [Show abstract] [Hide abstract]
    ABSTRACT: Hackers, malicious users, system malfunctions, and other incidents can disrupt organizational IS and cause severe organizational losses or even impact societies as a whole. In this paper, I review interdisciplinary literature on business continuity from an information systems (IS) perspective to increase understanding on how organizations can prepare for and respond to incidents. I use a narrative review approach with descriptive elements to review 83 peer-reviewed papers published between 2000-2012 across a wide array of journals and disciplines. I identify themes across the past contributions, join the currently isolated streams of literature under a concept of IS continuity, and identify research gaps in the current knowledge. The results suggest that one can understand past contributions in terms of four themes that emerged from the literature: (1) social aspects as IS continuity enabler, (2) technology as IS continuity enabler, (3) salience of IS continuity, and (4) models that improve IS continuity. To move toward an integration of the past research, and to pinpoint research gaps, I present an integrative framework. Further, the research contributes to forming an IS continuity community to facilitate cooperation and communications among scholars sharing a common interest.
    Communications of the Association for Information Systems 01/2015; 37(4).