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From Bricks to an Edifice: Cultivating Strong Inference in Information Systems Research

Amrit Tiwana, Stephen K. Kim

Information Systems Research · 2019 · Volume 30 · Issue 3

DOI: 10.1287/isre.2019.0848

Abstract

Disciplines that progress faster have a discipline-wide culture of strong inference. Notwithstanding our strong tradition of empirical cumulation, we argue how practicing strong inference can also cultivate greater theoretical cumulation in management information systems studies. We develop and illustrate two philosophy-of-science ideas—nomological rubberbanding and retroduction—to foster it.

Keywords

theoretical cumulation, models, retroduction, nomological rubberbanding, strong inference, unobserved heterogeneity, nomological string, theory construction

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