Incentives for RFID adoption with imperfect read rates: Wholesale price premium versus cost sharing

Abstract

We consider a supply chain system consisting of a manufacturer and a retailer who requires RFID technology to eliminate inventory misplacement errors. The demand is uncertain and RFID read rates are imperfect. To better align their incentives, the manufacturer can make up her additional cost stemmed from RFID adoption through two compensatory schemes: Wholesale price premium (PR) and cost sharing (CS). Our analysis shows that under PR, the manufacturer surcharges a premium higher than the tag cost, whereas under CS, the retailer will bear the entire tag cost. Because profit margin is proportionally allocated to the firms at the same ratio under PR and without RFID at the break-even point, their incentives to adopt RFID under PR are perfectly aligned. Surprisingly, under CS, further increase in RFID read rates can benefit the retailer but hurts the manufacturer. Further, the manufacturer prefers PR, whereas the retailer prefers CS when the tag cost is small; but both prefer PR when the cost is medium. Contrary to previous findings, the retailer’s incentive for RFID adoption under CS is stronger than the first-best level; the reverse is true for the manufacturer. Finally, CS improves the supply chain efficiency over PR but cannot coordinate the chain.

Keywords:

• RFID
• wholesale price premium
• cost sharing
• inventory misplacement

Acknowledgements

The authors thank the editor and two anonymous referees for their most constructive suggestions and comments that have substantially improved the contents and presentation of the paper.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by Natural Science Foundation of China [grant number 71601114], [grant number 71802096], [grant number 71431004], [grant number 71571086], Humanity and Social Science Youth foundation of Ministry of Education of China [grant number 18YJC630223], China Postdoctoral Science Foundation [grant number 2018M633292] and Major Projects of the National Social Science Foundation [grant number 16ZZD049].