2. Literature review
2.1. Data governance
Data governance is a fundamental issue of economic and social governance
in the digital era, and it is also the focus of scholars from all walks
of life. Currently, scholars at home and abroad have formed rich
research results on data governance at the levels of theoretical
exploration (Jiang et all, 2021), model architecture (Nicki, Asha and
Elizabeth, 2019) and practical application (Horgan, 2022), and related
research perspectives are related to government governance (Zijun et al,
2022), smart campus (Villegas-Ch et al, 2019), artificial intelligence
(Janssen et al, 2020), digital health (Rebekah and Lisa M 2020) and so
on.
2.2. Data governance of supply chain
With the deepening of digital supply chain transformation and upgrading
(Nasiri et al, 2020), some
scholars gradually turn their attention to the research on data
governance based on supply chain environment. The researchers who have
constructed a dual-channel supply chain model to analyze the selling
price of fresh agricultural products under different decision modes to
solve the problem of missing data in the production and marketing
process (Wei & Bo, 2022); The designs and implements a blockchain data
sharing market for programmatic supply chain (Zhiyuan et al, 2021); Zou
proposed a multi-attribute dynamic access control model for data
services to ensure the security of data services in the supply chain
(Junwei et al, 2018). Although the above studies have refined data
governance to the levels of data circulation, data deficiency, data
sharing and data security of supply chain, the research perspectives on
supply chain data governance optimization are scattered, and most of the
studies still remain in theoretical analysis, and the few quantitative
analyses are limited to the operational decision of supply chain data
governance (Belhadi et all, 2021) and blockchain platform construction
(WL et al, 2021), etc. The research on indexes of supply chain data
governance optimization based on system thinking is neglected.
2.3. Index system
At the present stage, there are abundant researches on index system,
involving many fields such as medical system (Renmin, Hu & Changping,
2021), university library (Sun, Yan & Peng, 2012), urban development
(Longyu et al, 2018), open government (Yupen & Bo, 2017), etc. The
research objects of the index system are mostly focused on single
subjects such as government, enterprises and institutions, social
organizations and individuals, and few of them involve the research of
complex index system in the context of supply chain data governance. In
terms of system governance, supply chain data governance is
characterized by diverse governance subjects, large governance scope and
complex governance structure, and the existing micro-system index system
cannot be directly applied to the field of supply chain data governance
(Hammervoll, 2015). Therefore, it is of theoretical and practical
significance to put aside the single node boundary of the existing index
system, construct a multi-subject index system for supply chain data
governance optimization, and explore its development path by quantifying
and analyzing the mechanism of the role of indexes, in order to evaluate
and improve the supply chain data governance capability.