Organizational agility considering enablers and capabilities of agility with RBF neural network approach and multiple regressions-Reference-Cited by-同舟云学术

Organizational agility considering enablers and capabilities of agility with RBF neural network approach and multiple regressions

Published:2020-06-21 Issue: Volume: Page:
ISSN:2511-2104
Container-title:International Journal of Information Technology
language:en
Short-container-title:Int. j. inf. tecnol.

Author:

Rasi Reza Ehtesham,Namakavarani Omid Mehri

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s41870-020-00492-y.pdf

Reference23 articles.

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2. Ansari R, Abedi Sharabiani AA, Khayyat khoshdooz M (2016) Impact of technology management on agility capabilities, case study in Kashan steel factory. Prod Oper Manag 12:191–214

3. Appelbaum S, Calla R, Desautels D, Hasan L (2017) The challenges of organizational agility (part 1). Ind Commer Traning 49(1):6–14

4. Ashrafi A, Ravasan AZ, Tarkma P, Afshari S (2019) The role of business analytics capabilities in bolstering firms’ agility and performance. Int J Inf Manag 47:1–15

5. Esmaelian M, Molavi B (2015) Prioritization and selection agility capability using fuzzy TOPSIS and fuzzy DEA approach. Prod Oper Manag 2:145–160

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