信息处理
供应链
服务(商务)
上游(联网)
下游(制造业)
信息处理理论
透视图(图形)
业务
块链
过程管理
知识管理
计算机科学
服务提供商
信息技术
数据处理
互联网
信息系统
服务水平
任务(项目管理)
供应链管理
数据科学
服务交付框架
作者
Fu Jia,Tianyu Zhang,Lujie Chen,Chenho Chao
标识
DOI:10.1108/scm-07-2025-0710
摘要
Purpose This study aims to investigate how supply chain finance (SCF) platforms adopt blockchain technology (BCT) to improve service performance. The benefits of using BCT to enhance SCF efficiency are understood, but the mechanisms through which BCT drives service performance remain underexplored. This study seeks to clarify the role of BCT in aligning platforms’ information processing capacities with their task-related requirements. Design/methodology/approach Building on information processing theory, this study used a multi-case approach that included 54 semi-structured interviews across four SCF platforms. This study redefines SCF uncertainties – task characteristics, environment and interdependence – that shape information processing requirements and identifies technological and organizational barriers that exacerbate these uncertainties. Findings The findings reveal that BCT enables a “fit” between platforms’ information processing capacity and information processing requirements, thereby improving the service performance of the platform. Upstream SCF platforms adopt BCT directly. Downstream platforms tend to integrate BCT with the Internet of Things (IoT) to handle more complex data flows. This study proposes an acceptance-based evaluation framework that assesses SCF service performance from the perspectives of multiple actors, such as banks, small- and medium-sized enterprises and focal firms. Originality/value This study makes three novel contributions. First, it is the first to reveal that differences in information characteristics across SCF businesses and give rise to distinct BCT adoption pathways that enable platforms to achieve a “fit” between information processing requirements and capacities: direct BCT adoption for upstream receivables-based financing and IoT-integrated BCT for downstream collateral-based financing. Second, it proposes an acceptance-based measurement of SCF service performance and demonstrates that achieving a “fit” between information processing requirements and capacities leads to service performance improvement. Third, it contextualizes and extends information processing theory to a blockchain-enabled SCF setting by specifying SCF-specific uncertainties and showing how blockchain enables information processing capacity to achieve fit to the information processing requirements across stakeholders.
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