Kishen Iyengar

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Research Article VenuGopal Balijepally Prairie View A&M University vebalijepally@pvamu.edu George Mangalaraj Western Illinois University G-Mangalaraj@wiu.edu Kishen Iyengar University of Colorado at Boulder kishen.iyengar@colorado.edu Cluster analysis is a powerful statistical procedure for extricating natural configurations among the data and the(More)
Abstract. Stokes’ first and second problems for an incompressible couple stress fluid are considered under isothermal conditions. The problems are solved through the use of Laplace transform technique. Inversion of the Laplace transform of the velocity component in each case is carried out using a standard numerical approach. Velocity profiles are plotted(More)
The ring-stage susceptibility assay was modified to quantify the susceptibilities of multiple strains of control and delayed-clearance phenotype (DCP) Plasmodium falciparum strains to seven endoperoxide antimalarial drugs. The susceptibility of all of the DCP lines to six of the drugs was lower than that of the controls. In contrast, DCP parasites did not(More)
A MIMIC (multiple indicators and multiple causes) model serves as a strong statistical validation technique for a set of formative indicators (Bagozzi 2011; Cenfetelli and Bassellier 2009; Diamontopoulos and Winklhofer 2001; Jöreskog and Goldberger 1975), and can be used when reflective indicators of related constructs to the focal formative construct are(More)
Ranking journals is an important exercise in academia. While several approaches to rank journals exist, an inherent assumption of these approaches is that there is indeed a hierarchy of journals, which is captured by the methods used for ranking them. We address a more fundamental question: Is there a linear hierarchy within journals? In this article, we(More)
Central to a process of IT adoption is the managerial ability to simultaneously balance the continuous exploring of the technology and its advantages, while also exploiting it. It is this simultaneity that we refer to as IT adoption ambidexterity, and recognize as an area in need of research. Based on prior research on organizational ambidexterity, this(More)
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