The Tool Desk
Outbyte Driver Updater FREEScan for outdated or missing drivers - takes under a minuteDriver Scan →Outbyte PC Repair FREEClear out junk files and repair common Windows errorsFree Scan →Technology choices are shaped by people’s interests and power as much as by technical merit. Which system gets bought, who designs the rollout, whose data counts, and who absorbs the change are settled by people who want different things and hold different amounts of influence. Managing technology therefore includes managing those people and the political terrain they occupy. The evidence does not show that every rollout is a contest, but it does show that political considerations sit alongside economic and technical ones, and that the effects of change follow lines of influence.
What studies of technological change say about politics
The starting point is Robert J. Thomas’s article “Organizational Politics and Technological Change,” first published in January 1992 and based on two detailed case studies. Thomas argued that choices about technological change are influenced by political considerations alongside economic and technical ones. In his words, “the process of choice is influenced as much by political considerations as it is by economic and technical ones.”
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Two features of that finding matter for managers. It is descriptive: it reports how choices were shaped in the cases Thomas examined, and it does not claim that politics always outweighs the technical case. It also treats politics as a normal part of the process rather than a failure of it. A sound technical proposal can still stall or change shape because of who stands to lose authority, budget, or discretion.
Where power sits: three dimensions
A 2026 article, “Workplace governance and labor perceptions of technological risks and benefits” (Industrial and Corporate Change, volume 35, issue 1), distinguishes several dimensions of power that shape how workers respond to technology. The authors describe workplaces as “political sites where power relations shape beliefs and behaviors.” A practical question follows from that framing: not whether a team has power, but which kind it has.
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Collective labor power
This is power that comes from workers acting together, through union representation or other collective bodies. It determines whether a group can negotiate the terms of a change as a group rather than one person at a time. Where it exists, the timing and form of consultation are often part of the bargaining itself.
Organizational voice
Voice is the set of formal and informal channels through which staff can raise concerns about a system and have decision-makers consider them. Examples include consultation steps, design reviews, working groups, and managers who carry objections upward. Voice is a separate asset from collective representation. It can exist without a union, and it can be thin even where one exists.
Individual positional power
This is the influence attached to a role: budget authority, control of a vendor relationship, seniority, or ownership of a system the business depends on. It is the most visible form of power on an org chart, and the one most often mistaken for the whole picture.
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- Author: Bungay Stanier, Michael.
- Publisher: Page Two
- Pages: 244
- Publication Date: 2016-02-29
- Edition: 1
How implementation gets negotiated
“Between control and participation: The politics of algorithmic management” was first published online on April 13, 2024 (volume 40, issue 1, pages 60–80). It is a qualitative case study of algorithmic management in a logistics setting, following managers, engineers, data scientists, and workers through three phases: goal formation, data production, and data analysis. It is one detailed case, so treat these phases as a lens for asking questions rather than a fixed sequence every organization will follow.
| Phase | What is being decided | Questions to ask |
|---|---|---|
| Goal formation | What the system is meant to achieve and what counts as success | Who defined the goal, and whose performance measure does it become? |
| Data production | What is recorded, about whom, and how it is collected | Do the people being recorded know what is captured, and can they check or dispute it? |
| Data analysis | How records are interpreted and acted on | Who reads the outputs, and who can challenge a conclusion drawn from them? |
The study’s own title frames the tension as one between control and participation. The phase structure shows that the same system can be negotiated at several points, and that influence at an early stage is not automatically carried through to the later ones.
Who carries the consequences
The effects of a technology are rarely spread evenly. Four axes are useful for making them concrete when comparing a proposal with the status quo.
| Axis | Concrete question for a proposal |
|---|---|
| Job quality | Does the change alter the pace, pressure, or content of the work? |
| Job security | Does it change which roles are needed, or how performance is judged in ways that affect continued employment? |
| Deskilling | Does it move judgment or know-how out of people’s hands and into the system? |
| Autonomy | Who decides how a task is done once the system is in place? |
Set these effects beside the influence map from the earlier sections. Where the people most affected hold the least collective, organizational, or positional influence over the decision, that gap is itself something to raise with decision-makers before the rollout begins.
When politics carries a performance cost
An older study of eight microcomputer firms links executive political behavior to the centralization of power and reports that politics in top management teams were associated with poor firm performance. The scope is narrow: eight firms, one sector, and top management teams in an earlier period of computing. It supports caution about senior-level political conflict, but it does not establish a general law linking politics to performance in technology firms.
The Machiavellian frame, used carefully
Niccolò Machiavelli’s The Prince is a useful historical reference point for the idea that leaders must understand how influence is gained and kept. Its concern is leaders’ acquisition and sustenance of influence, and it is sometimes discussed for its relevance to high-tech leadership. It is not a modern management manual, and reading it as one invites the wrong lessons.
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Two things should be kept apart. Analyzing interests and incentives helps people anticipate resistance, identify who needs to be consulted, and build support that lasts. Coercive or deceptive tactics, by contrast, damage trust and can degrade the decisions themselves. The studies discussed here support caution about political conflict and its consequences. They do not test a particular prescriptive method of “ethical politics,” so any playbook built on that phrase should be treated as practical judgment rather than proven technique.
A checklist for a technology proposal or rollout
The following questions turn the frameworks above into an analytical checklist. It is a way to structure discussion, not a validated scoring instrument.
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- Which groups gain or lose influence over the decision, and which lose the most?
- What formal voice and collective representation exist, and are they used before the decision or only after it?
- Who controls the knowledge, data, and implementation expertise the system depends on?
- How do the likely effects on job quality, security, deskilling, and autonomy differ between roles?
- At which phase, from goal formation through data analysis, can affected people shape the outcome?
Practical moves, with their limits
The evidence supports a diagnosis of where influence sits more strongly than it supports a specific method for changing it. The following moves follow directly from the checklist and are offered as practical judgment:
- Map interests before presenting a proposal, so objections are anticipated rather than discovered in the rollout.
- Bring affected people in at goal formation and data practices, where the case study shows negotiation actually happens.
- Separate the technical question of what a system can do from the governance question of who decides how it is used.
- When an objection is really about power or status rather than the system, name that openly and address it directly, rather than arguing about the specification.
Recent public-sector and vendor evidence
Two more recent sources widen the picture and come with boundaries. A September 2025 article in Government Information Quarterly, “Navigating power dynamics in the public sector through AI-driven algorithmic decision-making,” describes competition among operational managers and analysts over AI-based decisions in public healthcare. It shows expertise and institutional knowledge operating as sources of influence, but its setting is public-sector healthcare and should not be read as a description of private firms.
A 2025 article published on HR technology websites argues that vendor messaging can normalize expanded managerial control through algorithmic management. It analyzes marketing language rather than the measured effects of any particular product, so it is a reason to examine vendor claims closely rather than proof that a given system will shift control.
Quick Recap
Limits across the evidence
- The studies span different periods, settings, and methods, from case studies of change and executive teams to a logistics case, a public healthcare study, and recent conceptual work on workplace power. Their findings cannot be stacked into a single rule.
- No source here measures how often politics decides technology choices across firms, so the argument is that politics is a real and consequential factor, not that it is always decisive.
- Findings from one industry or one organizational level should not be assumed to hold for all technology firms or for every team within them.
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