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Modeling organizational performance with machine learning

Pap, Jozsef; Makó, Csaba; Illessy, Miklos; Kis, Norbert; … - In: Journal of open innovation : technology, market, and … 8 (2022) 4, pp. 1-19

Identifying the performance factors of organizations is of utmost importance for labor studies for both empirical and theoretical research. The present study investigates the essential intra- and extra-organizational factors in determining the performance of firms using the European Company...

Persistent link: https://www.econbiz.de/10013372863

Artificial intelligence in practice : how 50 successful companies used artificial intelligence to solve problems

Marr, Bernard; Ward, Matt - 2019

Machine generated contents note: Acknowledgments About the Author Introduction Part 1--AI Trailblazers Chapter 1 Alibaba Chapter 2 Alphabet / Google Chapter 3 Amazon Chapter 4 Apple Chapter 5 Baidu Chapter 6 Facebook Chapter 7 IBM Chapter 8 JD.com Chapter 9 Microsoft Chapter 10 Tencent Part...

Persistent link: https://www.econbiz.de/10012033271

Management und Controlling : Instrumente - Organisation - Digitalisierung - Ziele

Amann, Klaus; Petzold, Jürgen; Westerkamp, Markus - 2020 - 3., aktualisierte Auflage

Persistent link: https://www.econbiz.de/10012136708

Artificial intelligence capabilities, dynamic capabilities and organizational creativity : contributing factors to the United Arab Emirates Government’s organizational performance...

Almheiri, Hamad Mohamed; Ahmad, Syed Zamberi; Abu … - In: Journal of modelling in management 19 (2024) 3, pp. 953-979

Persistent link: https://www.econbiz.de/10014513018

Return of the Solow-paradox in AI? : AI-adoption and firm productivity

Bäck, Asta; Hajikhani, Arash; Jäger, Angela; … - 2022

Persistent link: https://www.econbiz.de/10013040916

How does human resource department's client relationship management affect sustainable enterprise performance : in the context of artificial intelligence?

Wang, Xiao-Ling; Lei, Ni; Hou, Yun-Zhang - In: International journal of technology management : IJTM 84 (2020) 1/2, pp. 50-69

Persistent link: https://www.econbiz.de/10012533743

Artificial intelligence and firm performance : does machine intelligence shield firms from risks?

Ho, Linh Tu; Gan, Christopher; Jin, Shan; Le, Bryan - In: Journal of risk and financial management : JRFM 15 (2022) 7, pp. 1-20

We estimate and compare the impact of the coronavirus pandemic (COVID-19) on the performance of Artificial Intelligence (AI) and conventional listed firms using stock market indices. The single-group and multiple-group Interrupted Time-Series Analyses (ITSA) with panel data were used with four...

Persistent link: https://www.econbiz.de/10013370386

Technology readiness of B2B firms and AI-based customer relationship management capability for enhancing social sustainability performance

Muhammad Sabbir Rahman; Bag, Surajit; Gupta, Shivam; … - In: Journal of business research : JBR 156 (2023), pp. 1-15

Persistent link: https://www.econbiz.de/10013534254

Performance management and artificial intelligence : a futuristic conceptual framework

Bankar, Swati; Shukla, Kasturi - In: Contemporary studies of risks in emerging technology, part B, (pp. 341-360). 2023

Persistent link: https://www.econbiz.de/10014326257

Organizational cases of Artificial Intelligence to leverage corporate diversity and its impact on corporate performance

Kapoor, Komal; Agarwal, Alpana - In: Artificial intelligence and digital diversity …, (pp. 33-51). 2022

Persistent link: https://www.econbiz.de/10014391651

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