On the Financing Benefits of Supply Chain Transparency and Blockchain Adoption

Author:

Chod Jiri1ORCID,Trichakis Nikolaos23ORCID,Tsoukalas Gerry4ORCID,Aspegren Henry5,Weber Mark67

Affiliation:

1. Carroll School of Management, Boston College, Chestnut Hill, Massachusetts 02467;

2. MIT Operations Research Center, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142;

3. Sloan School of Management, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139;

4. The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104;

5. Google Inc., Mountain View, California 94043

6. IBM Research, Cambridge, Massachusetts 02142

7. MIT-IBM Watson Artificial Intelligence Laboratory, Cambridge, Massachusetts 02142

Abstract

We develop a theory that shows signaling a firm’s fundamental quality (e.g., its operational capabilities) to lenders through inventory transactions to be more efficient—it leads to less costly operational distortions—than signaling through loan requests, and we characterize how the efficiency gains depend on firm operational characteristics, such as operating costs, market size, and inventory salvage value. Signaling through inventory being only tenable when inventory transactions are verifiable at low enough cost, we then turn our attention to how this verifiability can be achieved in practice and argue that blockchain technology could enable it more efficiently than traditional monitoring mechanisms. To demonstrate, we develop b_verify, an open-source blockchain protocol that leverages Bitcoin to provide supply chain transparency at scale and in a cost-effective way. The paper identifies an important benefit of blockchain adoption—by opening a window of transparency into a firm’s supply chain, blockchain technology furnishes the ability to secure favorable financing terms at lower signaling costs. Furthermore, the analysis of the preferred signaling mode sheds light on what types of firms or supply chains would stand to benefit the most from this use of blockchain technology. This paper was accepted by Victor Martínez-de-Albéniz, operations management.

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Management Science and Operations Research,Strategy and Management

Reference33 articles.

1. Aspegren H (2018) b_verify: Scalable non-equivocation for verifiable management of data. Thesis, Massachusetts Institute of Technology, Cambridge.

2. Do Short-Term Objectives Lead to Under- or Overinvestment in Long-Term Projects?

3. Competitive equilibrium in the credit market under asymmetric information

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