Analyzing the impact of information technology investments using regression and data mining techniques

2006 ◽  
Vol 19 (4) ◽  
pp. 403-417 ◽  
Author(s):  
Myung Ko ◽  
Kweku‐Muata Osei‐Bryson
Keyword(s):  
Data Mining ◽  
Information Technology ◽  
Data Mining Techniques ◽  
Information Technology Investments ◽  
Technology Investments ◽  
The Impact

Revisiting the Impact of Information Technology Investments on Productivity

2011 ◽  
pp. 296-322
Author(s):  
Myung Ko ◽  
Jan Guynes Clark ◽  
Daijin Ko
Keyword(s):  
Information Technology ◽  
Predictor Variable ◽  
Value Added ◽  
It Investments ◽  
Interaction Variable ◽  
Information Technology Investments ◽  
Technology Investments ◽  
The Impact ◽  
The Relationship

This article revisits the relationship between IT and productivity, and investigates the impact on information technology (IT) investments. Using the MARS techniques, we show that although IT Stock is the greatest predictor variable for productivity (Value Added), it is only significant as an interaction variable, combined with Non-IT Capital, Non-IT Labor, Industry, or Size.

Revisiting the Impact of Information Technology Investments on Productivity

2010 ◽  
pp. 1801-1823
Author(s):  
Myung Ko ◽  
Jan G. Clark ◽  
Daijin Ko
Keyword(s):  
Information Technology ◽  
Predictor Variable ◽  
Value Added ◽  
It Investments ◽  
Interaction Variable ◽  
Information Technology Investments ◽  
Technology Investments ◽  
The Impact ◽  
The Relationship ◽  
D Value

This article revisits the relationship between IT and productivity, and investigates the impact on information technology (IT) investments. Using the MARS techniques, we show that although IT Stock is the greatest predictor variable for productivity Ko, M.; Clark, J.G.; Ko, D.(Value Added), it is only significant as an interaction variable, combined with Non-IT Capital, Non-IT Labor, Industry, or Size.

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