Journal Article10.1108/17410390610678322
Analyzing the impact of information technology investments using regression and data mining techniques
Myung Ko,Kweku-Muata Osei-Bryson +1 more
34
TL;DR: While IT investments have a positive impact on productivity, the impact is conditional and is not uniform but depends on the amounts invested in other related areas, such as non‐IT labor, non-IT capital, and/or IT investments.
read more
Abstract: Purpose – Many attempts to justify the business value of increased investments in information technology (IT) have shown mixed results. While findings from earlier studies have been conflicting, recent firm level studies indicate that IT investments have a positive impact on productivity. However, whether IT adds value to organizations is an on going debating issue. Thus, thus it is worth of further investigation.Design/methodology/approach – The paper employs multiple techniques – a regression, regression trees, and regression splines – and integrate the responses provided from each technique.Findings – While IT investments have a positive impact on productivity, the impact is conditional and is not uniform but depends on the amounts invested in other related areas, such as non‐IT labor, non‐IT capital, and/or IT investments.Practical implications – The IT impact on productivity can be maximized when investments in other related areas are considered together than when they are considered in isolation. Th...
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Review: Data mining techniques and applications - A decade review from 2000 to 2011
TL;DR: It is suggested that different social science methodologies, such as psychology, cognitive science and human behavior might implement DMT, as an alternative to the methodologies already on offer, and the direction of any future developments in DMT methodologies and applications is discussed.
680
Information technology for competitive advantage within logistics and supply chains: A review
TL;DR: In this article, a systematic review of the literature on the use of information technology (IT) in logistics and supply chain management to achieve competitive advantage is presented, focusing on the linkages between adaptation, alignment, and agility.
Information technology impacts on firm performance: an extension of Kohli and Devaraj (2003)
Rajiv Sabherwal,Anand Jeyaraj +1 more
TL;DR: It is found that BVIT increases when the study does not consider IT investment, does not use profitability measure of value, and employs primary data sources, fewer IT-related antecedents, and larger sample size.
160
The Impact of Information and Communications Technology Infrastructure and Complementary Factors on Intra-African Trade
TL;DR: The empirical analysis shows that the Telecommunications Infrastructure has a major impact on intra-African trade, taking into account other relevant factors that also influence trade such as Institutional Quality and Educational Attainment.
Lessons from three decades of IT productivity research: towards a better understanding of IT-induced productivity effects
Stefan Schweikl,Robert Obermaier +1 more
- 01 Nov 2020
TL;DR: In this paper, an in-depth review of 86 empirical studies at the firm level was conducted to uncover various reasons for the emergence of the Solow Paradox, debates its following reversal marked by the occurrence of excess returns and deduces a model of factors influencing the returns on IT investments.
55
References
•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.
An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
Eric Bauer,Ron Kohavi +1 more
TL;DR: It is found that Bagging improves when probabilistic estimates in conjunction with no-pruning are used, as well as when the data was backfit, and that Arc-x4 behaves differently than AdaBoost if reweighting is used instead of resampling, indicating a fundamental difference.
Paradox Lost? Firm-Level Evidence on the Returns to Information Systems Spending
Erik Brynjolfsson,Lorin M. Hitt +1 more
TL;DR: In this article, the authors used new firm-level data on several components of IS spending for 1987-1991 and found that the gross marginal product MP for computer capital averaged 81% for the firms in their sample.
Productivity, business profitability, and consumer surplus: three different measures of information technology value
Lorin M. Hitt,Erik Brynjolfsson +1 more
TL;DR: While productivity, consumer value, and bush ness profitability are related, they are ultimate, which means that IT has not had any bottom line impact on business profitability.
1.8K