Editorial Notes

Agarwal, Ritu

doi:10.1287/isre.1120.0458

Cited by 3 publications

(2 citation statements)

References 21 publications

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“…There is no simple answer to this question and, to a large extent, our standards and methods of evaluation will inevitably evolve as our experience with such research grows. With respect to ISR in particular, we revert to the general criteria used by editors and reviewers when assessing research: Fit, Interestingness, Rigor, Story, Theory (Agarwal 2012). From the standpoint of fit, certainly novel and original research that uses big data to address a phenomenon of interest to the IS community "fits" with the mission of ISR, and is welcomed.…”

Section: Evaluating Knowledge Claims Based On Big Datamentioning

confidence: 99%

Editorial—Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research

Agarwal

Dhar

2014

Information Systems Research

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524

291

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W e address key questions related to the explosion of interest in the emerging fields of big data, analytics, and data science. We discuss the novelty of the fields and whether the underlying questions are fundamentally different, the strengths that the information systems (IS) community brings to this discourse, interesting research questions for IS scholars, the role of predictive and explanatory modeling, and how research in this emerging area should be evaluated for contribution and significance.

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Section: Evaluating Knowledge Claims Based On Big Datamentioning

confidence: 99%

Editorial—Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research

Agarwal

Dhar

2014

Information Systems Research

Self Cite

524

291

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“…We argue that developing theories is essential in shaping the core of the discipline (Benbasat and Weber, 1996; Weber, 2003) or key to ensure the survival and advancement of the discipline (Grover, 2013; Markus and Saunders, 2007). Major journals of our field also articulate the need for significant theoretical contributions in the manuscripts they receive and consider it as one if not the most important criterion for acceptance (e.g., Agarwal, 2012; Benbasat, 2001; Grover et al, 2008; Lee, 1999; Weber, 2003; Markus and Saunders, 2007). Yet, despite all our theorizing efforts and the importance that we and our major journals ascribe to theory development, making a theoretical contribution continues to be highly challenging to researchers in the IS field (Weber, 2012; Hassan et al, 2019a; Hassan et al, 2019b).…”

Section: Introductionmentioning

confidence: 99%

Leveraging paradigms to foster theoretical contributions in information systems research

Marchildon¹,

Hadaya²

2023

Journal of Information Technology

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Despite all our theorizing efforts and the importance that we and our major IS journals ascribe to theory development, making theoretical contributions to our field remains challenging. Recognizing that we cannot develop better theories without improving how we theorize, our field is now engaged in an in-depth discussion of the theorizing process. This manuscript contributes to this discussion by exposing why and how leveraging paradigms when theorizing can foster theoretical contributions within our field. Its premise is that we need to stop working within the confines of a limited set of well entrenched paradigms and move beyond what is known as true and correct to come up with improvements that significantly alter the way we come to rationalize, explain, and master our world. Anchored on this premise, this manuscript begins by discussing the origin, role and features of paradigms as well as explaining that they are of three different but interrelated forms (i.e., metaphysical, sociological, and artefactual). The manuscript then adds to this understanding of paradigms by detailing the unique relationships that tie paradigms of each form to theory and explaining why taking advantage of these unique bonds when theorizing may help us make theoretical contributions. Lastly, to foster theoretical contributions within our field, this manuscript proposes a set of guidelines to help us leverage paradigms of the different forms when theorizing.

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Editorial: Some Thoughts on Reviewing for Information Systems Research and Other Leading Information Systems Journals

Sarker,

Whitley,

Goh

et al. 2023

Information Systems Research

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Editorial Notes

Cited by 3 publications

References 21 publications

Editorial—Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research

Editorial—Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research

Leveraging paradigms to foster theoretical contributions in information systems research

Editorial: Some Thoughts on Reviewing for Information Systems Research and Other Leading Information Systems Journals

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