Bonjour, ceci est un commentaire. Pour supprimer un commentaire, connectez-vous et affichez les commentaires de cet article. Vous pourrez alors…
W. G. Ouchi and M. A. Maguire, “Organizational control: Two functions,” Administrative Science Quarterly, Vol. 20, pp. 559–569, 1975.
- Listed: 4 August 2026 19 h 27 min
Description
W. G. Ouchi and M. A. Maguire, “Organizational control: Two functions,” Administrative Science Quarterly, Vol. 20, pp. 559–569, 1975.
Organizational Control: Two Functions
In the world of business, organizational control is a critical component of success. It’s a term widely discussed among professionals, but often shrouded in mystery. The quote from W. G. Ouchi and M. A. Maguire, “Organizational control: Two functions,” Administrative Science Quarterly, Vol. 20, pp. 559–569, 1975, highlights the complexities of organizational control and its multifaceted nature.
One of the primary functions of organizational control is to establish standards and norms within a company. This involves setting clear expectations for employees’ behavior, performance, and decision-making. By defining the boundaries of acceptable behavior, organizations can create a sense of predictability and stability, which is essential for growth and productivity. For instance, a manufacturing company might establish quality control standards to ensure that all products meet specific requirements, while a financial institution might set policies for employee conduct to maintain regulatory compliance.
The second function of organizational control is more subtle and involves influencing employee behavior through informal means. This is often achieved through social norms, peer pressure, and organizational culture. When employees buy into the organization’s values and goals, they are more likely to adhere to the standard norms and behaviors. This is particularly effective in organizations with a strong company culture, where employees feel a sense of ownership and belonging. For example, a tech company with a flat organizational structure might encourage employees to take calculated risks and experiment with new ideas, leading to increased innovation and growth.
However, organizational control can be a double-edged sword. When control becomes too rigid or micromanaging, it can stifle creativity, innovation, and employee motivation. On the other hand, when control is too lax, it can lead to chaos, lack of accountability, and decreased productivity. As such, the key to effective organizational control is finding a balance between establishing clear standards and norms, while also allowing for flexibility and autonomy.
In conclusion, organizational control is a multifaceted concept that plays a vital role in an organization’s success. By understanding its two primary functions and striking the right balance between structure and flexibility, businesses can create an environment that fosters growth, productivity, and employee engagement. As the quote suggests, organizational control is a complex and fascinating field that warrants further exploration and study.
#organizationalcontrol #business #leadership #productivity #employees #management #leadershipdevelopment #entrepreneurship #managementresearch
7 total views, 2 today
Sponsored Links
S. Narayanan and S. Azarm, “On improving multi-objective genetic algorithms...
S. Narayanan and S. Azarm, “On improving multi-objective genetic algorithms for design optimization,” Structural Optimization, Vol. 18, pp. 146–155, 1999. **”On improving multi-objective genetic algorithms […]
No views yet
N. Zhou, B. Zhu, A. Agogino, K. Pister, “Evolutionary systhesis of micro-el...
N. Zhou, B. Zhu, A. Agogino, K. Pister, “Evolutionary systhesis of micro-electro-mechanical systems (MEMS),” Proceedings of ANNIE 2001: IEEE Neural Networks Council and Smart Engineering […]
1 total views, 1 today
J. Clark, N. Zhou, D. Bindel, L. Schenato, W. Wu, J. Demmel, and K. Pister,...
J. Clark, N. Zhou, D. Bindel, L. Schenato, W. Wu, J. Demmel, and K. Pister, “3D MEMS simulation modeling using modified nodal” In Proceedings of […]
No views yet
J. Clark, N. Zhou, S. Bhave, Z. Bai, J. Demmel, and K. Pister, “Sugar: Adva...
J. Clark, N. Zhou, S. Bhave, Z. Bai, J. Demmel, and K. Pister, “Sugar: Advancements in a 3D multi-domain simulation package for MEMS,” In Proceedings […]
1 total views, 1 today
N. Zhou, V. Clark, and K. Pister, “Nodal simulation for MEMS design using S...
N. Zhou, V. Clark, and K. Pister, “Nodal simulation for MEMS design using SUGER v.0.5,” In 1998 International Conference on Modeling and Simulation of Microsystems […]
No views yet
T. Lacksonen, “Empirical comparison of search algorithms for discrete event...
T. Lacksonen, “Empirical comparison of search algorithms for discrete event simulation,” Computers & Industrial Engineering, Vol. 40, No. 1–2, pp. 133–48, June 2001. None
1 total views, 1 today
H. Li and E. Antonsson, “Evolutionary techniques in MEMS synthesis,” Procee...
H. Li and E. Antonsson, “Evolutionary techniques in MEMS synthesis,” Proceedings of DETC’98, 1998 ASME Design Engineering Technical Conferences, Atlanta, GA, 1998. **H. Li and E. Antonsson, […]
1 total views, 1 today
E. Goldberg, “Genetic algorithms in search, optimization, and machine learn...
E. Goldberg, “Genetic algorithms in search, optimization, and machine learning,” Addison-Wesley, 1989. “E. Goldberg, “Genetic algorithms in search, optimization, and machine learning,” Addison-Wesley, 1989.” The […]
1 total views, 1 today
Q. Jing, H. Luo, T. Mukherjee, L. R. Carley, and G. Fedder, “CMOS micro-mec...
Q. Jing, H. Luo, T. Mukherjee, L. R. Carley, and G. Fedder, “CMOS micro-mechanical bandpass filter design using a hierarchical MEMS circuit library,” Proceedings IEEE […]
2 total views, 2 today
N. Zhou and M. Agogino, “Automated design synthesis for Micro-Electro-Mecha...
N. Zhou and M. Agogino, “Automated design synthesis for Micro-Electro-Mechanical Systems (MEMS),” The Proceedings of the ASME Design Automation Conference, Montreal, Canada, 2002. None
1 total views, 1 today
S. Narayanan and S. Azarm, “On improving multi-objective genetic algorithms...
S. Narayanan and S. Azarm, “On improving multi-objective genetic algorithms for design optimization,” Structural Optimization, Vol. 18, pp. 146–155, 1999. **”On improving multi-objective genetic algorithms […]
No views yet
N. Zhou, B. Zhu, A. Agogino, K. Pister, “Evolutionary systhesis of micro-el...
N. Zhou, B. Zhu, A. Agogino, K. Pister, “Evolutionary systhesis of micro-electro-mechanical systems (MEMS),” Proceedings of ANNIE 2001: IEEE Neural Networks Council and Smart Engineering […]
1 total views, 1 today
J. Clark, N. Zhou, D. Bindel, L. Schenato, W. Wu, J. Demmel, and K. Pister,...
J. Clark, N. Zhou, D. Bindel, L. Schenato, W. Wu, J. Demmel, and K. Pister, “3D MEMS simulation modeling using modified nodal” In Proceedings of […]
No views yet
J. Clark, N. Zhou, S. Bhave, Z. Bai, J. Demmel, and K. Pister, “Sugar: Adva...
J. Clark, N. Zhou, S. Bhave, Z. Bai, J. Demmel, and K. Pister, “Sugar: Advancements in a 3D multi-domain simulation package for MEMS,” In Proceedings […]
1 total views, 1 today
N. Zhou, V. Clark, and K. Pister, “Nodal simulation for MEMS design using S...
N. Zhou, V. Clark, and K. Pister, “Nodal simulation for MEMS design using SUGER v.0.5,” In 1998 International Conference on Modeling and Simulation of Microsystems […]
No views yet
T. Lacksonen, “Empirical comparison of search algorithms for discrete event...
T. Lacksonen, “Empirical comparison of search algorithms for discrete event simulation,” Computers & Industrial Engineering, Vol. 40, No. 1–2, pp. 133–48, June 2001. None
1 total views, 1 today
H. Li and E. Antonsson, “Evolutionary techniques in MEMS synthesis,” Procee...
H. Li and E. Antonsson, “Evolutionary techniques in MEMS synthesis,” Proceedings of DETC’98, 1998 ASME Design Engineering Technical Conferences, Atlanta, GA, 1998. **H. Li and E. Antonsson, […]
1 total views, 1 today
E. Goldberg, “Genetic algorithms in search, optimization, and machine learn...
E. Goldberg, “Genetic algorithms in search, optimization, and machine learning,” Addison-Wesley, 1989. “E. Goldberg, “Genetic algorithms in search, optimization, and machine learning,” Addison-Wesley, 1989.” The […]
1 total views, 1 today
Q. Jing, H. Luo, T. Mukherjee, L. R. Carley, and G. Fedder, “CMOS micro-mec...
Q. Jing, H. Luo, T. Mukherjee, L. R. Carley, and G. Fedder, “CMOS micro-mechanical bandpass filter design using a hierarchical MEMS circuit library,” Proceedings IEEE […]
2 total views, 2 today
N. Zhou and M. Agogino, “Automated design synthesis for Micro-Electro-Mecha...
N. Zhou and M. Agogino, “Automated design synthesis for Micro-Electro-Mechanical Systems (MEMS),” The Proceedings of the ASME Design Automation Conference, Montreal, Canada, 2002. None
1 total views, 1 today
Recent Comments