EconPapers    
Economics at your fingertips  
 

Explaining the IT Value Through the Information Support of Decision-Making

Yuri Zelenkov ()
Additional contact information
Yuri Zelenkov: HSE University

A chapter in Digitalization of Society, Economics and Management, 2022, pp 29-48 from Springer

Abstract: Abstract The issue of how IT impact the performance of an organization is still not fully explained. Many researchers believe that this effect is based on the automation of business processes and the replacement of unskilled routine labor. However, this does not explain the expected impact of digital transformation, since it offers completely new models. Relying on the achievements of organization theory, we suggest that the impact of IT on performance is realized through the quality of decision-making. We analyze the role of information processing in decision-making, identify the sources of inefficiency, which can be associated with incorrect assessment, lack or excess of information. Next, we revise the organization’s design strategies and classify the information systems according to their information processing capabilities. The proposed approach can explain the way how IT impact is created and manifested both for traditional enterprise information systems and for new digital technologies.

Keywords: IT value; Organization design; Decision-making; Information processing (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-94252-6_3

Ordering information: This item can be ordered from
http://www.springer.com/9783030942526

DOI: 10.1007/978-3-030-94252-6_3

Access Statistics for this chapter

More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:lnichp:978-3-030-94252-6_3