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Institution

DePaul University

EducationChicago, Illinois, United States
About: DePaul University is a education organization based out in Chicago, Illinois, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 5658 authors who have published 11562 publications receiving 295257 citations.


Papers
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Journal ArticleDOI
John E. Ettlie1
TL;DR: In this paper, a model of the organizational innovation process, whereby context causes policy, which causes innovation, was tested and generally supported by data from 54 equipment and packaging suppliers to the food processing industry.
Abstract: In this study a model of the organizational innovation process, whereby context causes policy, which causes innovation, was tested and generally supported by data from 54 equipment and packaging suppliers to the food processing industry. Increasing organization size up to a point and an aggressive technology policy emerge as the two key variables in this model of organization and innovation.

372 citations

Journal ArticleDOI
TL;DR: In this paper, the authors examine the valuation effects of the interaction between differences of opinion and short sale constraints and find robust evidence of significant overvaluation for stocks that are subject to both conditions simultaneously.
Abstract: Miller (1977) hypothesizes that dispersion of investor opinion in the presence of short-sale constraints leads to stock price overvaluation. However, previous empirical tests of Miller's hypothesis examine the valuation effects of only one of these two necessary conditions. We examine the valuation effects of the interaction between differences of opinion and short sale constraints. We find robust evidence of significant overvaluation for stocks that are subject to both conditions simultaneously. Stocks are not systematically overvalued when either one of these two conditions is not met.

366 citations

Journal ArticleDOI
TL;DR: In this paper, the authors test the investor distraction hypothesis, which holds that the arrival of extraneous news causes trading and market prices to react sluggishly to relevant news about a firm, and find that the immediate stock price and volume reaction to a firm's earnings surprise is weaker, and post-earnings announcement drift is stronger, when a greater number of earnings announcements by other firms are made on the same day.
Abstract: Psychological evidence indicates that it is hard to process multiple stimuli and perform multiple tasks at the same time. This paper tests the investor distraction hypothesis, which holds that the arrival of extraneous news causes trading and market prices to react sluggishly to relevant news about a firm. Our test focuses on the competition for investor attention between a firm's earnings announcements and the earnings announcements of other firms. We find that the immediate stock price and volume reaction to a firm's earnings surprise is weaker, and post-earnings announcement drift is stronger, when a greater number of earnings announcements by other firms are made on the same day. Distracting news has a stronger effect on firms that receive positive than negative earnings surprises. Industry-unrelated news has a stronger distracting effect than related news. A trading strategy that exploits post-earnings announcement drift is unprofitable for announcements made on days with little competing news.

365 citations

Journal ArticleDOI
08 Jun 2004
TL;DR: A metric is studied between labelled Markov processes that has the property that processes are at zero distance if and only if they are bisimilar and is related, in spirit, to the Hutchinson metric.
Abstract: The notion of process equivalence of probabilistic processes is sensitive to the exact probabilities of transitions. Thus, a slight change in the transition probabilities will result in two equivalent processes being deemed no longer equivalent. This instability is due to the quantitative nature of probabilistic processes. In a situation where the process behavior has a quantitative aspect there should be a more robust approach to process equivalence. This paper studies a metric between labelled Markov processes. This metric has the property that processes are at zero distance if and only if they are bisimilar. The metric is inspired by earlier work on logics for characterizing bisimulation and is related, in spirit, to the Hutchinson metric.

364 citations

Journal ArticleDOI
TL;DR: In this article, the authors proposed and tested an entrepreneurial process model that examined the interrelationships among a small firm owner's personality, strategic orientation, and innovation, and found that the prospector strategy orientation mediated the relationship between proactive personality and three types of innovations.
Abstract: Our study proposed and tested an entrepreneurial process model that examined the interrelationships among a small firm owner's personality, strategic orientation, and innovation. In the first part of the model, it was posited that a proactive personality would directly influence a prospector strategic orientation. This type of strategic orientation would then be a key factor in determining the type of innovations introduced and implemented within the business. Using a sample of 107 small business owners, results revealed that the prospector strategy orientation mediated the relationship between proactive personality and three types of innovations: innovative targeting processes, innovative organizational systems, and innovative boundary supports. Implications for small business managers as well as future research directions are discussed.

362 citations


Authors

Showing all 5724 results

NameH-indexPapersCitations
C. N. R. Rao133164686718
Mark T. Greenberg10752949878
Stanford T. Shulman8550234248
Paul Erdös8564034773
T. M. Crawford8527023805
Michael H. Dickinson7919623094
Hanan Samet7536925388
Stevan E. Hobfoll7427135870
Elias M. Stein6918944787
Julie A. Mennella6817813215
Raouf Boutaba6751923936
Paul C. Kuo6438913445
Gary L. Miller6330613010
Bamshad Mobasher6324318867
Gail McKoon6212514952
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202326
2022100
2021518
2020498
2019452
2018463