CN EN
Advanced

The impact of information integration on purchase order finance and new product launch: a case study

Indexed by

SSCI Scopus ABDC-A

Abstract

Purpose In this study, we examine the implementation of purchase order finance (POF) which is an innovative supply chain finance (SCF) solution by an innovative SCF lender (i.e. supply chain service provider (SCSP)). The effect of information integration between the SCSP (lender) and product designers (borrowers) on the lender's POF decisions and the borrowers' new product launch is investigated. Design/methodology/approach We conduct a case study in the Chinese smartphone industry. A mixed methods design is used, and data are collected from both the supply chain service provider (SCSP) and product designers. We first conduct a qualitative study. Hypotheses are developed concerning the relationships between information integration, in terms of social interaction and information system integration, POF and new product launch. We then conduct a quantitative study. The multilevel structural equation modelling method is used to test the hypotheses. Findings We find that information system integration is positively associated with POF but has no significant effect on new product launch. Social interaction is negatively associated with POF but positively associated with new product launch. POF is positively associated with new product launch. Originality/value This study contributes to the literature by empirically examining the implementation of POF from both the lender's and borrower's perspectives. We find that information system integration and social interaction have different effects on POF and new product launch. The results thus provide insights into how a lender makes POF decisions and reveal the benefits of POF for borrowers.

Keyword

Author Community

[Zhang, Min] Queens Univ Belfast, Queens Management Sch, Belfast, Antrim, North Ireland

[Huang, Qiuping] Shenzhen Univ, Coll Management, Shenzhen, Peoples R China

[Zhao, Xiande] China Europe Int Business Sch, Shanghai, Peoples R China

[Ma, Lijun] Shenzhen Univ, Inst Big Data Intelligent Management & Decis, Shenzhen, Peoples R China


Related Article

Source

International Journal of Operations & Production Management

ISSN:0144-3577

Year:2021

Issue:Early Access

ESI Discipline:ECONOMICS & BUSINESS;

Cited Count
W
Loading... 3
C
Loading...
Get Fulltext
Rights and Licenses
Related Keywords
Communities & Collections
Access Stats
Creative Commons Licence
The content of CEIBS Research Online is licensed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).