Attentional Attributions of Deservingness: The case of Resource Allocation to Academic Scientists
By Anand Nandkumar, Dutt Dev Harsha Tadikonda
Academy of Managemnet | November 2017
DOI
doi.org/10.5465/ambpp.2014.15573abstract
Citation
Nandkumar, Anand., Tadikonda, Dutt Dev Harsha. Attentional Attributions of Deservingness: The case of Resource Allocation to Academic Scientists Academy of Managemnet doi.org/10.5465/ambpp.2014.15573abstract.
Copyright
Academy of Managemnet, 2017
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Abstract
We focus on an organizational situation wherein the evaluator function and ultimate buyers are distinct and when evaluators may lack information on subsequent performance of producers. In such situations as evaluators lack valid signals of a producer’s reputation, evaluators make attributions of deservingness of producers, attributions which may not be tightly coupled with subsequent performance. These attributions are influenced by the stimuli, by the type of output an actor has produced in the past. Specifically we propose that when the capabilities of an actor are: (1) related to producing new output, i.e. frontiers, then the reliance on their past capabilities increases at an increase rate than when the past output involves older vintage output (2) related to producing output that combines wide knowledge, i.e. ‘generalists’, then the reliance on their past capabilities increases at a lower rate than when the past output involves less width of knowledge. We test these predictions in the context of funding of academic scientists’ research projects using a sample of 29,859 academics funding by federal government at a large mid-western university from 1970 to 2005. The results support our hypotheses that attentional based information processing of evaluators explains why allocations are more positive with novelty of past output and less positive with generalist contrary to the assumed uniformly positive dependence on prior output under uncertainty. Furthermore our paper develops a contingent perspective of the attention based view of organizational response to heterogeneous stimuli.

Anand Nandkumar is an Associate Professor of Strategy, Executive Director of SRITNE at the Indian School of Business (ISB), and Associate Dean of the Centre for Learning and Teaching Excellence. He explores industry and firm-level phenomena that influence innovation - the generation of new ideas, and entrepreneurship - distribution and commercialisation of new ideas. His research focuses on high-technology industries such as pharmaceuticals, biotechnology, and software, and it falls in between industrial organisation (IO), economics of technological change, and strategy.

Professor Nandkumar’s current work in the innovation stream examines the effect of stronger intellectual property rights (IPR) on different aspects of innovation, such as the influence of stronger patents on long run incentives for innovation or the influence of stronger patents on the functioning of Markets for Technology (MFT). In the entrepreneurship stream, his current work examines the influence of venture capitalists on entrepreneurial performance.

Professor Nandkumar graduated with a PhD in Public Policy and Management, with a focus in strategy and entrepreneurship from Carnegie Mellon University in 2008. Prior to his PhD, he worked for 3 years with a startup in Silicon Valley, and prior to that, in New York City with one of the world’s largest financial services firms.

True to his expertise, at ISB, Professor Nandkumar teaches Strategic Innovation Management and Strategic Challenges for Innovation-based startups.

Anand Nandkumar
Anand Nandkumar