Ramakrishnan Pakath

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In Part 2, we examine the viability of the new symbolic language that we described in Part 1, in a specific setting. Using an abstract classification task that involves decision-making under time pressure, we study multiple measures of subject performance at this task using the new language vis-à-vis written and spoken English. Initial experimental results(More)
a r t i c l e i n f o Synthesizing prior research, this paper designs a relatively comprehensive and holistic characterization of business analytics – one that serves as a foundation on which researchers, practitioners, and educators can base their studies of business analytics. As such, it serves as an initial ontology for business analytics as a field of(More)
Based on a review of 27 research papers related to social media analytics (SMA), we develop an integrated, unifying definition of Business SMA, providing a nuanced starting point for future Business SMA research. Our definition goes beyond being entirely customer-focused, encompasses both the external and internal organizational environs, and goes beyond(More)
We examine four decision support system (DSS) models ± the Symbiotic, Expert, Holistic, and Adaptive ± and distinguish them in terms of the impact of their knowledge management styles on their problem-processing behavior. We draw upon existing notions of knowledge types and their management to develop a knowledge-oriented view. We use it to categorize the(More)
Bodies such as the World Wide Web Consortium and the US Congress have advanced recommendations intended to make Information Technology more accessible to impaired users. These include guidelines specifically intended for the cognitively challenged, such as people with Alzheimer’s disease (AD). However, there is little research evidence to date demonstrating(More)