Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Paeffgen, Thea
2022.
Organisational Resilience during COVID-19 Times: A Bibliometric Literature Review.
Sustainability,
Vol. 15,
Issue. 1,
p.
367.
DURMUŞ, Gökmen
2023.
Kurumsal Çevrecilik ve Örgütsel Dayanıklılık: Gaziantep Ekonomi Sahası Üzerine Bir Araştırma.
İktisadi İdari ve Siyasal Araştırmalar Dergisi,
Vol. 8,
Issue. 21,
p.
568.
Wang, Qian
Wu, Qin
Xie, Luqun
and
Zhang, Xiao
2023.
CEO's self-oriented perfectionism, strategic decision comprehensiveness and firm resilience.
Management Decision,
Vol. 61,
Issue. 11,
p.
3343.
Harsanto, Budi
and
Firmansyah, Egi Arvian
2023.
The discourse of organizational resilience before and after the global pandemic.
F1000Research,
Vol. 12,
Issue. ,
p.
1128.
Yang, Hangsheng
Tang, Min
and
Huang, Ju
2023.
Can Female Executives Enhance Organizational Resilience? Evidence from China during the COVID-19 Pandemic.
Sustainability,
Vol. 15,
Issue. 18,
p.
13532.
Liu, Ruhong
Long, Jing
and
Liu, Longjun
2023.
Seeking the resilience of service firms: a strategic learning process based on digital platform capability.
Journal of Services Marketing,
Vol. 37,
Issue. 3,
p.
371.
Mhlanga, David
and
Dzingirai, Mufaro
2024.
Bibliometric study on organizational resilience: trends and future research agenda.
International Journal of Corporate Social Responsibility,
Vol. 9,
Issue. 1,
ZHANG, Huan
MI, Lili
SHAO, Xuefeng
and
BU, Juan
2024.
Demystifying pathways of composition-based international strategies under the de-globalization world: A configurational approach.
Journal of International Management,
Vol. 30,
Issue. 2,
p.
101085.
Rituraj
Arora, Shaveta
Nandal, Rohan
and
Rohit
2024.
Digital Communication and Soft Computing Approaches Towards Sustainable Energy Developments.
p.
113.
Đonlagić Alibegović, Sabina
Ajanović, Vedrana
and
Dajdžić, Lejla
2024.
Interdisciplinary Advances in Sustainable Development II.
Vol. 804,
Issue. ,
p.
361.
Parisi, Luca
and
Manaog, Marianne Lyne
2025.
Optimal Machine Learning- and Deep Learning-driven algorithms for predicting the future value of investments: A systematic review and meta-analysis.
Engineering Applications of Artificial Intelligence,
Vol. 142,
Issue. ,
p.
109924.