Skip to content

Overcoming institutional voids as a pathway to becoming ambidextrous: The case of China’s Sichuan Telecom

Research output: Contribution to journalArticle

Original languageEnglish
Article number101871
Number of pages14
JournalLong Range Planning
Volume52
Issue number4
Early online date2 Mar 2019
DOIs
DateAccepted/In press - 19 Feb 2019
DateE-pub ahead of print - 2 Mar 2019
DatePublished (current) - 1 Aug 2019

Abstract

The paper examines how firms develop supply chain financing model to help overcome institutional voids (IVs) and become ambidextrous. This study presents a case analysis of a novel supply chain financing model instigated and implemented by China’s Sichuan Telecom (ST) to help supply chain partners overcome IVs in their environments. We identified three unique stages in the evolution of the supply chain ambidextrous financing model: drivers for change (including identifying suppliers’ problems and constraints), designing and implementing the supply chain ambidextrous financing model, and the tripartite performance effects. The analysis demonstrated how ST utilized its market power, resources and network ties to harness expertise and competences of small and medium-sized enterprises (SMEs) to overcome IVs and become ambidextrous. Sichuan Telecom aided the SMEs in solving the financing problem through order-based supply chain financing. Based on the analysis, we outline implications of this case for theory and policy.

    Research areas

  • Supply chain collaboration, China, SMEs, supply chain financing model, ambidextrous business model

Documents

Documents

  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via Elsevier at https://www.sciencedirect.com/science/article/pii/S0024630117305204 . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 530 KB, PDF document

    Embargo ends: 2/03/22

    Request copy

    Licence: CC BY-NC-ND

DOI

View research connections

Related faculties, schools or groups