OPS 445 Week 4 Information Sharing and Trust Example

Daily Sales to the Battery Maker, Promotions to the Brake Supplier: Planning Information Sharing and Building Trust With Partners

[Student Name]

University of Phoenix

OPS/445: Strategic Supply Chain Design and Collaboration

Week 4 Assignment

[Instructor Name]

[Date]

Big River Auto Parts, its partners, data and figures are composites written for a model paper.

Week 3 gave the imaginary Big River chain four collaboration programs: vendor-managed inventory with a battery maker, joint planning with its main brake manufacturer, consignment with three suppliers of slow specialty parts and shared forecasts with filter suppliers. Week 2 added a regional courier running hub-to-store shuttles. Each program depends on information moving between companies and on each side trusting the other with it. This paper plans both.

Why Information Sharing Matters

Lee and Whang (2000) analyzed the types of information shared in supply chains, including inventory levels, sales data, order status, forecasts and production schedules, and showed how sharing them can reduce costs and improve service, while noting incentive and confidentiality problems that can block sharing. Fawcett et al. (2007) found that performance improved with two things at once, connectivity, the technical means to share, and willingness, the decision to actually share, and that in many firms the second trailed the first. Big River's plan addresses both.

What Each Partner Needs

Battery maker: each store's daily battery sales and stock, model by model, to decide replenishment; Big River receives the vendor's planned shipments and in-stock reports.

Brake manufacturer: promotion calendars, monthly forecasts by part family and region and actual sales, to plan production; Big River receives the manufacturer's capacity outlook and new part introduction schedule.

Consignment suppliers: weekly hub sales and stock counts, to replenish and invoice; Big River receives replenishment notices.

Filter suppliers: a 13-week rolling forecast; Big River receives capacity confirmations.

Shuttle provider: daily route volumes, store hours and delivery windows; Big River receives real-time vehicle location and arrival records.

How Data Will Flow

Batteries and brakes use electronic data interchange for orders and shipments, plus a daily data feed of sales and inventory through a secure connection. Consignment suppliers and filter suppliers use a supplier portal where they download reports and upload notices. The shuttle provider's tracking system sends arrival events to Big River's systems through an interface the two IT teams built during the pilot.

Data Governance

Every shared data set has written rules: its owner, the uses allowed, the people allowed to view it, a retention period and a correction procedure. Sales data shared with the battery maker may be used only for replenishment and forecasting for Big River, not for pricing negotiations or shared with other retailers. Promotion calendars shared with the brake manufacturer are restricted to its planning team. A data steward in Big River's supply chain team handles corrections within two business days, and each partner names a counterpart.

A data feed that nobody trusts is just a faster way to spread wrong numbers.

Sources of Trust and Distrust

Morgan and Hunt (1994) proposed that trust and commitment are central to cooperative relationships, encouraging partners to preserve relationship investments and resist attractive short-term alternatives. Kwon and Suh (2004) found that trust in supply chain relationships was related to partners' reputation and specific asset investments and reduced by behavioral uncertainty, and that trust was linked to commitment. Each relationship has its own concerns.

The brake manufacturer worries that Big River will reveal its promotion pricing and new part schedules to a rival manufacturer when negotiating. Big River worries that the battery maker, controlling replenishment and owning stock, will push more batteries into stores than needed. Consignment suppliers worry that Big River will report sales late, delaying payment. The shuttle provider worries that Big River will use tracking data to argue for penalties over minor delays.

Building Trust

Each worry has a response. For the brake manufacturer: confidentiality terms, a restricted team on Big River's side and a record of honoring them, checked in an annual review. For the battery program: maximum stock limits, a monthly scorecard visible to both and a shared target for inventory turns. For consignment: automatic weekly sales reports and payment within 15 days. For the shuttle provider: penalties only for delays beyond an agreed tolerance, with a quarterly review of causes before any penalty is applied. Each relationship also begins with a pilot in one region, so both sides see benefits before the program is extended to the rest of the chain.

Security and Access

Shared data create security risks. Each partner's access to the portal or data feed uses named accounts with multifactor login, limited to the data sets its agreement covers. Access is reviewed every quarter and removed within one day when a partner's employee leaves. Big River's security team tests the connections annually, and each agreement requires partners to report any suspected breach within 24 hours.

Incentives to Keep Sharing

Sharing continues when both sides see value. The brake manufacturer gets earlier warning of promotions, which reduces its overtime and expediting; Big River gets better fill rates on promoted items. The battery maker gets steady store-level demand data it can use to plan production. Reviewing these gains together each quarter reminds both sides why the effort is worth it, especially in years when prices are being renegotiated.

When Trust Is Broken

If a breach occurs, such as data misused, the plan calls for a meeting within a week, an agreed account of what happened, a correction and, if needed, revised safeguards. Repeated breaches lead to exit under contract terms.

Measures

Data quality: share of daily feeds received on time and complete; error correction time; inventory record accuracy. Relationship health: an annual partner survey on trust and communication; the number of disputes and time to resolve them; and continued investment by partners, such as the brake manufacturer adding Big River-specific forecasting staff.

Conclusion

Big River's collaboration programs depend on partners receiving the right data for their decisions and trusting how it will be used. The plan defines data by partner and decision, uses connections suited to each, governs ownership, use and quality and addresses each partner's specific worries with safeguards and transparent measures. Trust is built through pilots and kept through consistent behavior, with a plan ready if it is broken.

References

Fawcett, S. E., Osterhaus, P., Magnan, G. M., Brau, J. C., & McCarter, M. W. (2007). Information sharing and supply chain performance: The role of connectivity and willingness. Supply Chain Management: An International Journal, 12(5), 358-368. https://doi.org/10.1108/13598540710776935

Kwon, I.-W. G., & Suh, T. (2004). Factors affecting the level of trust and commitment in supply chain relationships. Journal of Supply Chain Management, 40(1), 4-14. https://doi.org/10.1111/j.1745-493X.2004.tb00165.x

Lee, H. L., & Whang, S. (2000). Information sharing in a supply chain. International Journal of Manufacturing Technology and Management, 1(1), 79-93. https://doi.org/10.1504/IJMTM.2000.001329

Morgan, R. M., & Hunt, S. D. (1994). The commitment-trust theory of relationship marketing. Journal of Marketing, 58(3), 20-38. https://doi.org/10.1177/002224299405800302