Talk:Algorithmic management
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[edit ]- What I think should be changed:
Add a section on functions of algorithmic management:
The capabilities of algorithms and artificial intelligence are increasing, enabling a broader use of algorithmic management. This includes not only predictive models but also generative AI that can interact simultaneously with many individuals to support them in their work. Considering these increased capabilities, the organizational literature suggests a broader range of managerial functions that can be performed by algorithmic management:
Task Division and Allocation: This function involves breaking down complex organizational goals into smaller tasks and allocating them to individuals based on their skills and interests. Task allocation using algorithms can increase the match between task requirements and workers' capabilities, but also between tasks and workers' interests, improving efficiency and engagement. Direction: Managers provide specific guidance to workers on how to perform tasks, outlining steps, priorities, and desired performance levels. AI can enhance this by offering tailored recommendations, improving worker focus and facilitating task performance. Coordination: Task in most organizations are interdependent such that workers need to coordinate their activities to ensure effective alignment. Human managers perform this role through meetings, established routines, or by designing direct communication channels between workers. AI-driven tools can now perform real-time coordination between workers that streamline collaboration across large and complex teams. Motivation: Managers encourage workers through incentives, both financial and non-financial, like intellectual challenges or recognition. AI can help personalize motivational strategies by analyzing workers' preferences and behaviors to sustain engagement and productivity. Supporting Learning: Effective management supports skill development through training, feedback, and challenging tasks. AI facilitates personalized learning by tracking performance, diagnosing challenges, and providing tailored opportunities for growth.
- Why it should be changed:
The current article summarizes some of things that algorithms do technically (e.g., collect data) and also some of the managerial functions. But the latter mostly focus on motivating/controlling people which is too narrow given recent developments. There are additional important functions that should be mentioned, see above. There are now many examples for this broader range of functions, and these functions also align with the broader literature on organizations, management, and algorithmic management. See citations below.
- References supporting the possible change (format using the "cite" button):
Koehler, Maximilian; Sauermann, Henry (2024年05月01日). "Algorithmic management in scientific research". Research Policy. 53 (4): 104985. doi:10.1016/j.respol.2024.104985. ISSN 0048-7333.
Puranam, Phanish; Alexy, Oliver; Reitzig, Markus (2014-04). "What's "New" About New Forms of Organizing?". Academy of Management Review. 39 (2): 162–180. doi:10.5465/amr.2011.0436. ISSN 0363-7425.
Jarrahi, Mohammad Hossein; Newlands, Gemma; Lee, Min Kyung; Wolf, Christine T.; Kinder, Eliscia; Sutherland, Will (2021年07月01日). "Algorithmic management in a work context". Big Data & Society. 8 (2): 20539517211020332. doi:10.1177/20539517211020332. ISSN 2053-9517.
Henrysauermann (talk) 19:33, 30 December 2024 (UTC) [reply ]
References
Not done – please clarify Please provide your proposed changes in a "change X to Y" format, with accompanying citations. PK650 (talk) 04:31, 31 December 2024 (UTC) [reply ]
- Sorry, I am new and I could not find an official template for change X to Y format. I had used the https://en.wikipedia.org/wiki/Template:Edit_COI and wizard in the prior post. But here is my request again with more detail:
- I would like to add a section on "Functions of algorithmic management" (just like the current section on "history of the term"). This new section should have the following text (references added in brackets and listed below). If there is another template I should use, please direct me to it. Thank you for your patience!
- ---FUNCTIONS OF ALGORITHMIC MANAGEMENT---
- The capabilities of algorithms and artificial intelligence are increasing, enabling a broader use of algorithmic management. This includes not only predictive models but also generative AI that can interact simultaneously with many individuals to support them in their work. Building on prior literature on algorithmic management and organizations more broadly [REFERENCES 1, 2], recent work has distinguished five general functions currently performed by algorithmic management [REFERENCE 3]:
- -Task Division and Allocation: This function involves breaking down complex organizational goals into smaller tasks and allocating them to individuals based on their skills and interests.
- -Task allocation using algorithms can increase the match between task requirements and workers' capabilities, but also between tasks and workers' interests, improving efficiency and engagement.
- -Direction: Managers provide specific guidance to workers on how to perform tasks, outlining steps, priorities, and desired performance levels. AI can enhance this by offering tailored recommendations, improving worker focus and facilitating task performance.
- -Coordination: Task in most organizations are interdependent such that workers need to coordinate their activities to ensure effective alignment. Human managers perform this role through meetings, established routines, or by designing direct communication channels between workers. AI-driven tools can now perform real-time coordination between workers that streamline collaboration across large and complex teams.
- -Motivation: Managers encourage workers through incentives, both financial and non-financial, like intellectual challenges or recognition. AI can help personalize motivational strategies by analyzing workers' preferences and behaviors to sustain engagement and productivity.
- -Supporting Learning: Effective management supports skill development through training, feedback, and challenging tasks. AI facilitates personalized learning by tracking performance, diagnosing challenges, and providing tailored opportunities for growth.
- --- NEW SECTION END ---
- REFERENCES USED AND TO BE ADDED
- REF 1: Puranam, Phanish; Alexy, Oliver; Reitzig, Markus (2014-04). "What's "New" About New Forms of Organizing?". Academy of Management Review. 39 (2): 162–180. doi:10.5465/amr.2011.0436. ISSN 0363-7425.
- REF 2: Kellogg, Katherine C.; Valentine, Melissa A.; Christin, Angèle (2020). "Algorithms at Work: The New Contested Terrain of Control". Academy of Management Annals. 14 (1): 366–410. doi:10.5465/annals.2018.0174. ISSN 1941-6520.
- REF 3: Koehler, Maximilian; Sauermann, Henry (2024年05月01日). "Algorithmic management in scientific research". Research Policy. 53 (4): 104985. doi:10.1016/j.respol.2024.104985. ISSN 0048-7333. QuantumQuill2000 (talk) 11:28, 3 January 2025 (UTC) [reply ]