EconPapers    
Economics at your fingertips  
 

Developing Organizational Resilience Through Decreasing Artificial Intelligence Anxiety in VUCA World

Simona-Andreea Apostu () and Bulent Akkaya
Additional contact information
Simona-Andreea Apostu: Bucharest University of Economic Studies
Bulent Akkaya: Manisa Celal Bayar University

A chapter in Fostering Recovery Through Metaverse Business Modelling, 2023, pp 151-160 from Springer

Abstract: Abstract The environment is very complex and constantly changing, and resilience is of great importance. Since organizations play an important role on the market, resilience is applicable in their case and is the ability of a system to maintain functions by organizations. All changes are positively correlated to digitalization, also merging the fear of people losing their job due to artificial intelligence, known as artificial intelligence anxiety. In this context, our article aims to present the relationship between organizational resilience and artificial intelligence anxiety. For this, data was considered from 146 middle level managers working in production/manufacturing department companies that produce white goods markets operating in Turkey. Two survey questionnaires were used. To collect data, the random sampling technique was used. The analysis was performed using SPSS and implied correlations and regression. Using regression analysis, our results concluded that the managers perceived that organizational resilience has an important role in decreasing artificial intelligence anxiety. The research results could be useful for policymakers, employers, research, and academics, being, from our knowledge, the first attempt relating these two terms.

Keywords: Organizational resilience; Artificial intelligence anxiety; VUCA world (search for similar items in EconPapers)
Date: 2023
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:prbchp:978-3-031-28255-3_11

Ordering information: This item can be ordered from
http://www.springer.com/9783031282553

DOI: 10.1007/978-3-031-28255-3_11

Access Statistics for this chapter

More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:prbchp:978-3-031-28255-3_11