Journal ArticleDOI
Research Commentary---Too Big to Fail: Large Samples and the p-Value Problem
TLDR
This research commentary recommends a series of actions the researcher can take to mitigate the p-value problem in large samples and illustrates them with an example of over 300,000 camera sales on eBay.Abstract:
The Internet has provided IS researchers with the opportunity to conduct studies with extremely large samples, frequently well over 10,000 observations. There are many advantages to large samples, but researchers using statistical inference must be aware of the p-value problem associated with them. In very large samples, p-values go quickly to zero, and solely relying on p-values can lead the researcher to claim support for results of no practical significance. In a survey of large sample IS research, we found that a significant number of papers rely on a low p-value and the sign of a regression coefficient alone to support their hypotheses. This research commentary recommends a series of actions the researcher can take to mitigate the p-value problem in large samples and illustrates them with an example of over 300,000 camera sales on eBay. We believe that addressing the p-value problem will increase the credibility of large sample IS research as well as provide more insights for readers.read more
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Journal ArticleDOI
Big Data Research in Information Systems: Toward an Inclusive Research Agenda
TL;DR: A first step toward an inclusive big data research agenda for IS is offered by focusing on the interplay between big data’s characteristics, the information value chain encompassing people-process-technology, and the three dominant IS research traditions (behavioral, design, and economics of IS).
Journal ArticleDOI
Resolving Information Asymmetry: Signaling, Endorsement, and Crowdfunding Success:
TL;DR: In this paper, the authors draw on information economics to examine when signals and endorsements obtained from multiple information sources enhance or diminish one another's effects, and propose that signals from different information sources can have different effects.
Journal ArticleDOI
Thinking green, buying green? Drivers of pro-environmental purchasing behavior
TL;DR: In this article, a two-step structural equation modeling approach was applied to test both the measurement and the structural model to identify major antecedents of everyday green purchasing behavior and for determining their relative importance.
Journal ArticleDOI
Sample size, power and effect size revisited: simplified and practical approaches in pre-clinical, clinical and laboratory studies.
TL;DR: In this article, the importance of sample size and its relationship to effect size (ES) and statistical significance is discussed. But, there is no straightforward way of calculating the effective sample size for reaching an accurate conclusion, and use of a statistically incorrect sample size may lead to inadequate results in both clinical and laboratory studies.
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Posted Content
What Happens When You Tax the Rich? Evidence from Executive Compensation
Austan Goolsbee,Austan Goolsbee +1 more
TL;DR: In this paper, the responsiveness of taxable income to changes in in in marginal tax rates using detailed compensation data on several thousand corporate executives from 1991 to 1995 is examined. But the decline is almost entirely a short-run shift in the timing of compensation rather than a permanent reduction in taxable income.
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Battle of the Retail Channels: How Product Selection and Geography Drive Cross-Channel Competition
TL;DR: The analyses show that Internet retailers face significant competition from brick-and-mortar retailers when selling mainstream products, but are virtually immune from competition when selling niche products.
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Battle of the Retail Channels: How Product Selection and Geography Drive Cross-Channel Competition
TL;DR: In this paper, the authors use a unique combination of data sets to analyze the cross-channel competition between traditional brick-and-mortar retailers and online retailers and suggest that managers need to take into account the types of products they sell when assessing competitive strategies.
ReportDOI
What Happens When You Tax the Rich? Evidence from Executive Compensation
TL;DR: This paper examined the responsiveness of taxable income to changes in marginal tax rates using detailed compensation data on several thousand corporate executives from 1991 to 1995, finding that the higher marginal rates of 1993 led to a significant decline in taxable income.