Threat is the negative consequences caused by problematic streaming service use. Our findings support that protection motivation theory (PMT) is useful in explaining decreasing problematic use in situations of threats. Results are largely consistent with the original study, albeit with several exceptions.
Aligned with the original study, we tested the model using a scenario-based survey. In contrast with Chen et al.'s smartphone gaming context, we apply their theoretical model to the context of digital streaming services. This study is a conceptual replication of Chen et al.'s (2020) study that examines factors influencing the intention to decrease problematic Information Systems (IS) use. New guidelines for validation and new research directions are offered. This article is a first step in that direction.īased on our interpretation of the importance of a long list of validities, this paper suggests heuristics for reinvigorating the quest for validation in IS research via content/construct validity, reliability, manipulation validity, and statistical conclusion validity. But we believe that it is time for the IS academic profession to bring such issues into the open for community debate. Some of these heuristics will, no doubt, be controversial. It goes beyond these studies by offering analyses of the state-of-the-art of research validities and deriving specific heuristics for research practice in the validities. This study builds on four prior retrospectives of IS research that conclude that IS positivist researchers continue to face major barriers in instrument, statistical, and other forms of validation. Without solid validation of the instruments that are used to gather data on which findings and interpretations are based, the very scientific basis of the profession is threatened. Rigor in IS research is still one of the critical scientific issues facing the field. The issue of whether IS positivist researchers were validating their instruments sufficiently was initially raised fifteen years ago.
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