ORG 726 Week 2 Sociotechnical Systems Theory Example

Reviewed by Davina Cresswell, MBA · University of Phoenix · Updated

This ORG 726 Week 2 example applies sociotechnical systems theory, the view that work systems perform best when their social and technical parts are designed together, to a technology change that improved the software while straining the people using it. University of Phoenix ORG 726 applies sociotechnical systems theory in Week 2, and ORG/726 expects DBA learners to trace the theory from its coal mining origins to current system design principles and to use it to diagnose a real implementation. The setting is again the invented Iowa mutual, whose new claims platform cut settlement times but raised adjuster turnover in one office. The paper reviews the Tavistock studies, Cherns's design principles and later critiques, analyzes the platform's joint design and recommends sociotechnical changes.

CourseORG 726 The Impact of Technology on Organizations (ORG/726)
Week2
Paper typeDoctoral sociotechnical systems analysis
Lengthabout 1,181 words, 4 double-spaced pages plus title page and references
FormatAPA 7 student paper
SchoolUniversity of Phoenix
ProgramDBA
UpdatedOctober 2026

Free sample paper for ORG 726 Week 2

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Optimizing the Software, Neglecting the Adjusters: A Sociotechnical Analysis of an Insurer's Claims Platform

[Student Name]

University of Phoenix

ORG/726: The Impact of Technology on Organizations

Week 2 Assignment

[Instructor Name]

[Date]

Prairie Shield Mutual, its systems, people and figures are composites written for a model paper.

What this part is doingThe title states the imbalance the sociotechnical lens reveals.
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Week 1 described how Prairie Shield Mutual, a composite Midwestern property and casualty insurer, introduced a cloud claims platform and how its Des Moines and Omaha offices organized around it differently. A year later, the technical results are strong in both: settlement times for simple claims fell from 11 days to 4 and cost per claim fell 14 percent. The social results differ. Omaha's adjuster turnover rose from 15 to 31 percent, and its engagement scores fell to the lowest in the company. Des Moines's turnover held at 14 percent. This paper uses sociotechnical systems theory to explain the difference and to recommend changes.

Origins of the Theory

Trist and Bamforth (1951) studied the introduction of the mechanized longwall method in British coal mines. Before mechanization, small, self-selected groups of miners each worked a section of the coal face, sharing all tasks and regulating their own work. The longwall method divided the work into specialized shifts, each performing one task across a long face, with each shift dependent on the previous one. Despite the better technology, productivity disappointed, and absenteeism, conflict and stress rose. The researchers argued that the method had broken the social structure that allowed miners to manage the hazards and uncertainties of the work. Later Tavistock studies found that composite methods, which kept the technology but restored multi-skilled, self-regulating groups, performed better.

What this part is doingRecounting the coal mining study in detail shows the pattern the paper will find again in claims.
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The central idea that emerged is joint optimization: a work system has a technical subsystem and a social subsystem, and optimizing one at the other's expense produces worse results than designing both together.

Cherns's Principles

Cherns (1976) set out principles of sociotechnical design. Among them: compatibility, the design process should fit its objectives, so participative designs need participative processes; minimal critical specification, specify no more than is essential; variance control, handle unplanned events as close to their source as possible; boundary location, draw unit boundaries so that people who share knowledge and data work together; information flow, give information to those who need to act on it; and incompletion, recognize that design is never finished.

Applying the Principles

Minimal critical specification. Omaha's locked routing specified exactly which adjuster handles each claim, removing judgment the adjusters had used for years. Des Moines specified routing as a default that adjusters could override with a reason. Omaha over-specified.

Variance control. In claims, variances arise when a claim turns out to be more complex than its score suggests, such as a hail claim that reveals a structural defect. In Des Moines, the adjuster who notices the issue can reroute it. In Omaha, the adjuster must report it to the analyst, who reassigns it, adding about two days and moving control away from the source.

Omaha's platform knows a claim's score; only the adjuster knows what she found in the attic.

Boundary location. Omaha's routing scattered each policyholder's claims across many adjusters, so no one held the whole picture of a customer with several losses. Des Moines's review group formed a boundary around complex claims that kept knowledge together.

Information flow. Omaha's adjusters see their own benchmark scores but not the reasoning behind routing; the analyst sees everything. Des Moines's adjusters see the routing score and can question it.

Compatibility. The platform's configuration team included IT staff, a vendor consultant and two claims managers but no adjusters. The design process did not involve the people whose work it most changed.

What this part is doingTesting the design principle by principle turns the theory into a diagnostic tool.
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Why the Technical Results Hid the Problem

Both offices met the project's targets because those targets measured only the technical subsystem: speed, cost and automation rate. The social costs appeared later, in turnover, engagement and reopened complex claims. Turnover alone cost Omaha about $1.1 million in recruiting and training, roughly offsetting its savings in cost per claim. The project's measures were themselves a product of a technical rather than sociotechnical view.

Later Developments and Critiques

Clegg (2000) restated sociotechnical principles for modern system design and argued that systems should be designed by and for their users, that design choices are organizational choices and that the theory had been underused in large information system projects partly because of its limited tools and its separation from mainstream systems engineering. Critics have also noted that early sociotechnical work focused on manual work groups and gave less attention to power and to how managers' interests shape design. At Prairie Shield, power matters: Omaha's regional manager chose locked routing partly to increase visibility and control, a choice sociotechnical principles question but cannot prevent.

What Des Moines Did Differently

Des Moines did not set out to apply sociotechnical theory, but its choices followed several of its principles. The claims vice president, a former adjuster, insisted before launch that adjusters keep the right to reroute claims. When overrides grew in the first months, senior adjusters began meeting weekly to compare notes, and the meeting became the review group. The group noticed that hail claims on older roofs were consistently under-scored and sent examples to the configuration team, which adjusted the scoring. Adjusters in Des Moines describe the platform as a tool they work with; in Omaha, adjusters describe it as a system that assigns them work. The difference lies less in the software than in the room the design left for people to manage variances and learn.

What this part is doingDescribing how Des Moines's practices emerged shows joint optimization arising in practice, not only on paper.
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Risks of the Redesign

Restoring discretion carries risks. Overrides could reintroduce inconsistency that the platform was meant to reduce, and regulators expect similar claims to be treated similarly. Pods could develop their own norms that drift from company standards. These risks argue for review, not for removing discretion: recorded reasons, weekly pod reviews and quarterly comparisons of outcomes across pods would keep variation visible.

Recommendations

Adjuster pods: groups of five to seven adjusters responsible for a geographic book of claims, sharing complex cases and handling variances within the pod.

Override rights with review: adjusters may reroute claims with a recorded reason; a weekly pod review examines overrides and feeds patterns to the configuration team.

Adjusters on the configuration team: two adjusters from each office join the team, rotating yearly.

Information: adjusters see the factors behind each routing score and their pod's results, not only individual benchmarks.

Measures: add turnover, engagement, reopened claims and adjuster use of skills to the platform's scorecard.

Measuring Joint Optimization

To judge whether the redesign works, the company will compare pods with the current arrangement on both subsystems for a year: settlement time and cost per claim on the technical side; turnover, engagement and reopened claims on the social side. If pods hold the technical gains while restoring the social outcomes, the case for extending them to Omaha will be clear.

Conclusion

Prairie Shield's claims platform repeated, in modern form, the pattern Trist and Bamforth found in coal mines: better technology, poorer results where the social system was neglected. Cherns's principles explain why Omaha's design produced turnover and delays and why Des Moines's fared better. Joint optimization, with pods, override rights, adjuster participation and balanced measures, offers a way to keep the technical gains while restoring the social system that makes them last.

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References

Cherns, A. (1976). The principles of sociotechnical design. Human Relations, 29(8), 783-792. https://doi.org/10.1177/001872677602900806

Clegg, C. W. (2000). Sociotechnical principles for system design. Applied Ergonomics, 31(5), 463-477. https://doi.org/10.1016/S0003-6870(00)00009-0

Trist, E. L., & Bamforth, K. W. (1951). Some social and psychological consequences of the longwall method of coal-getting. Human Relations, 4(1), 3-38. https://doi.org/10.1177/001872675100400101

What the ORG 726 Week 2 instructions ask

The second ORG 726 paper asks doctoral learners to apply sociotechnical systems theory. Prompts may ask learners to explain the theory's origins and principles, such as joint optimization, minimal critical specification, variance control at the source and boundary location, review how it has evolved for information systems and analyze an organization's technology implementation through it. Some versions ask learners to compare sociotechnical theory with other perspectives on technology. Use a real or realistic implementation with evidence about both technical and social outcomes, draw on foundational and current peer-reviewed research and cite sources in APA. Recommend design changes and explain what they would mean for both people and technology.

How this ORG 726 Week 2 example is built

The model paper starts with the insurer's results a year after its claims platform launched: settlement times for simple claims fell by more than half, yet the Omaha office lost 31 percent of its adjusters, double its previous rate. Trist and Bamforth's study of English coal mining showed how mechanized longwall methods broke up self-regulating work groups and produced absenteeism and conflict despite better technology. Cherns's principles, such as minimal critical specification and controlling variances where they arise, give a lens for the platform's design. Omaha's locked routing and benchmark monitoring violated several principles; Des Moines's override review group followed them more closely. The paper recommends adjuster pods responsible for a book of claims, override rights with review and adjusters on the configuration team.

ORG 726 Week 2 grading rubric: where the points go

Doctoral graders reward faithful use of sociotechnical theory to diagnose a real system. Strong papers explain the theory's origins and core principles accurately, citing foundational and later work, and apply specific principles to evidence about both technical and social outcomes. Credit goes to identifying where design optimized one subsystem at the other's expense, to recognizing critiques and later developments of the theory and to recommendations that redesign technology and work together rather than training people to fit the system. Graders also look for outcomes measured on both sides. Recent journal research and correctly formatted APA references finish the work.

ORG 726 Week 2 help: mistakes to avoid

Sociotechnical papers often describe the theory's history and then recommend more training, which treats the social system as something to adjust after the technology is fixed. The theory calls for designing both together. Show what would change in the technology and in the work. Another frequent gap is citing joint optimization without applying specific principles. Choose principles and test the design against each. Learners also report only technical outcomes, such as speed and cost; include social ones, such as turnover, skill use and engagement. Some papers ignore critiques, such as the theory's limited influence on large system projects. Note them. Finally, involve users in the redesign, a core sociotechnical practice. A tutor can help you match principles to evidence.

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ORG 726 Week 2 questions, answered

What does ORG 726 Week 2 usually cover?

It usually covers sociotechnical systems theory: its origins in the Tavistock coal mining studies, principles such as joint optimization and their application to a technology implementation.

Where can I find a free ORG 726 Week 2 sample paper?

The Week 2 paper above applies sociotechnical systems theory to an insurer's claims platform, and the full essay can be opened here without charge.

What is joint optimization?

The sociotechnical principle that a work system performs best when its technical and social subsystems are designed together, rather than optimizing technology and fitting people to it.

What is minimal critical specification?

Cherns's principle that designers should specify only what is essential and leave the rest to the people doing the work, preserving their ability to adapt.

Where did sociotechnical systems theory come from?

From Tavistock Institute research in British coal mines after World War II, which found that new mechanized methods disrupted self-regulating work groups and harmed performance.

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