IS

McConnell, Allen R.

Topic Weight Topic Terms
0.265 behavior behaviors behavioral study individuals affect model outcomes psychological individual responses negative influence explain hypotheses
0.203 research information systems science field discipline researchers principles practice core methods area reference relevance conclude
0.147 research researchers framework future information systems important present agenda identify areas provide understanding contributions using
0.123 explanations explanation bias use kbs biases facilities cognitive making judgment decisions likely decision important prior

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Dinev, Tamara 1 Smith, H. Jeff 1
behavioral economics 1 elaboration likelihood model 1 macromodels 1 privacy 1
psychology 1

Articles (1)

Research Commentary‹Informing Privacy Research Through Information Systems, Psychology, and Behavioral Economics: Thinking Outside the ÐAPCOÓ Box (Information Systems Research, 2015)
Authors: Abstract:
    Recently, several researchers provided overarching macromodels to explain individuals' privacy-related decision making. These macromodelsÑand almost all of the published privacy-related information systems (IS) studies to dateÑrely on a covert assumption: responses to external stimuli result in deliberate analyses, which lead to fully informed privacy-related attitudes and behaviors. The most expansive of these macromodels, labeled ÒAntecedentsÐPrivacy ConcernsÐOutcomesÓ (APCO), reflects this assumption. However, an emerging stream of IS research demonstrates the importance of considering principles from behavioral economics (such as biases and bounded rationality) and psychology (such as the elaboration likelihood model) that also affect privacy decisions. We propose an enhanced APCO model and a set of related propositions that consider both deliberative (high-effort) cognitive responses (the only responses considered in the original APCO model) and low-effort cognitive responses inspired by frameworks and theories in behavioral economics and psychology. These propositions offer explanations of many behaviors that complement those offered by extant IS privacy macromodels and the information privacy literature stream. We discuss the implications for research that follow from this expansion of the existing macromodels.