Journal Article10.1016/J.IM.2003.09.002
Exploring the relationship between information technology investments and firm performance using regression splines analysis
Kweku-Muata Osei-Bryson,Myung Ko +1 more
132
TL;DR: The results suggest that depending on the conditions that applied, an unbiased observer could either conclude that investments in IT has a positive statistically significant effect on productivity, or that there is a 'productivity' paradox.
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About: This article is published in Information & Management. The article was published on 01 Dec 2004. The article focuses on the topics: Organizational performance & Productivity paradox.
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Citations
Organizational impact of system quality, information quality, and service quality
TL;DR: The results show that IS service quality is the most influential variable in this model (followed by information quality and system quality, thus highlighting the importance of IS servicequality for organizational performance), and the structural equation model exhibits a good fit with the observed data.
A resource‐based perspective on information technology and firm performance: a meta analysis
TL;DR: It was found that the mediated model that includes organizational capabilities as mediators between organizational resources and firm performance can better explain the value of IT than the direct‐effect model without organizational capabilities.
444
Business Intelligence: An Analysis of the Literature
TL;DR: This publication contains reprint articles for which IEEE does not hold copyright and which are likely to be copyrighted.
314
Personalized defect prediction
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TL;DR: This paper proposes personalized defect prediction-building a separate prediction model for each developer to predict software defects, and applies this approach to classify defects at the file change level.
Time series analysis in the assessment of ICT impact at the aggregate level - lessons and implications for the new economy
TL;DR: ICT-complementary factors are suggested, in an attempt to rectify possible flaws in ICT policies as a contribution towards improvement in global productivity.
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References
•Book
The Elements of Statistical Learning
Trevor Hastie,Robert Tibshirani,Jerome H. Friedman +2 more
- 01 Jan 2001
29.4K
•Book
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Trevor Hastie,Robert Tibshirani,Jerome H. Friedman +2 more
- 28 Jul 2013
TL;DR: In this paper, the authors describe the important ideas in these areas in a common conceptual framework, and the emphasis is on concepts rather than mathematics, with a liberal use of color graphics.
21.3K
Multivariate Adaptive Regression Splines
TL;DR: In this article, a new method is presented for flexible regression modeling of high dimensional data, which takes the form of an expansion in product spline basis functions, where the number of basis functions as well as the parameters associated with each one (product degree and knot locations) are automatically determined by the data.
A resource-based perspective on information technology capability and firm performance: an empirical investigation
TL;DR: The concept of IT as an organizational capability is developed and empirically examining the association between IT capability and firm performance indicates that firms with high IT capability tend to outperform a control sample of firms on a variety of profit and cost-based performance measures.
5.2K
•Journal Article
Probability Theory: The Logic of Science/The Fundamentals of Risk Measurement/The Elements of Statistical Learning: Data Mining, Inference and Prediction
TL;DR: The Elements of Statistical LearningAn Introduction to Statistical LearningPattern Recognition and Machine LearningData Mining IVStatistics for Machine LearningStatistical Learning for Biomedical DataGeocomputation with RThe Science of Bradley Efron
3.8K