Advances in Economics, Management and Political Sciences
- The Open Access Proceedings Series for Conferences
Proceedings of the 7th International Conference on Economic Management and Green Development
Series Vol. 41 , 10 November 2023
Open
Access | Article
Comparative Study of Google’s and Baidu’s Performance Management
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Abstract
Management is a broad and essential field that encompasses the planning, organizing, directing, and controlling of resources to achieve organizational goals and objects. The origins of management can be traced back to ancient civilization, study of management as a discipline began in the late 19th century and early 20th century. This article focuses on compare and contrast the performance management approaches of Google and Baidu by using case studies and comparative analysis. However, Google’s management system has been successful in promoting a culture of innovation and employee empowerment, attracting top talent, and driving organizational growth. While Baidu’s management system has examined its strategies for localization strategies and market expansion.
Keywords
innovation, localization, management, strategy, market
References
1. Ramona, Z. (2022, January 10). Factors Influencing the Integration of Sustainability Indicators into a Company’s Performance Management System. ScienceDirect. https://www.sciencedirect.com/science/article/abs/pii/S0959652621041561.
2. Yang, D. (2012, February 1). The Power of Triple Contexts on Customer-Based Brand Performance—A Comparative Study of Baidu and Google from Chinese Netizens’ Perspective. ScienceDirect. https://www.sciencedirect.com/science/article/abs/pii/S0969593114000729.
3. Zhao, X. (2009). A Comparative Study of Baidu and Google’s Operating Models. Baidu Academic. https://xueshu.baidu.com/usercenter/paper/show?paperid=c7639e8dc833fcd0332e976a1edb0919&site=xueshu_se.
4. Ma, Y. (2016). Taking Baidu as an Example to Analyze the Importance of Combining Enterprise Performance Management with Values. Baidu Academic. https://xueshu.baidu.com/usercenter/paper/show?paperid=76f78147d71572dca7410bd4b2ab007c&site=xueshu_se.
5. Wei, L. (2016, December 31). Research on Google’s Brand Performance. SpringerLink. https://link.springer.com/article/10.1007/s12927-016-0008-5.
6. Krause, O. (2006). Performance Management. SpringerLink. https://link.springer.com/book/10.1007/978-3-8350-9191-7.
7. Abhishek, V. (2015, April). Large-Scale Cluster Management at Google with Borg. Google Scholar. https://dl.acm.org/doi/abs/10.1145/2741948.2741964.
8. Yu, K. (2013, October). Large-Scale Deep Learning at Baidu. Google Scholar. https://dl.acm.org/doi/abs/10.1145/2505515.2514699.
9. Otley, D. (1999, December). Performance Management: A Framework for Management Control Systems Research. Google Scholar. https://www.sciencedirect.com/science/article/abs/pii/S1044500599901154.
10. Folan, P. (2005, September). A Review of Performance Measurement: Towards Performance Management. Google Scholar. https://www.sciencedirect.com/science/article/abs/pii/S0166361505000412.
11. Mishra, S. (2012, August). Performance Management Benefits Organizations and Their Employees. Google Scholar. https://www.emerald.com/insight/content/doi/10.1108/09670731211260771/full/html.
Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 7th International Conference on Economic Management and Green Development
- ISBN (Print)
- 978-1-83558-103-2
- ISBN (Online)
- 978-1-83558-104-9
- Published Date
- 10 November 2023
- Series
- Advances in Economics, Management and Political Sciences
- ISSN (Print)
- 2754-1169
- ISSN (Online)
- 2754-1177
- DOI
- 10.54254/2754-1169/41/20232045
- Copyright
- 10 November 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited