supply  chain  integration  affect  performance,  this 
study will collect a large number of relevant literature 
at  home  and  abroad,  analyze  and  sort  out  relevant 
literature  from  the  aspects  of  theoretical  basis  and 
research  status,  It  is  concluded  and  compared  to 
clarify the concept and its relationship, so as  to  lay 
the  foundation  for  the  research  hypothesis  and 
conceptual model; Questionnaire survey is one of the 
main research methods of this study. The number and 
scope of enterprises and the variables involved in the 
questionnaire  mainly  include  supply  chain 
integration, operation performance and supply chain 
performance;  The  second-hand  data  method  is 
organized,  implemented  and  submitted  on  time 
according to the contents of the statement system of 
industrial  enterprises  formulated  by  the  National 
Bureau  of  statistics.  Industrial  statistical  indicators 
include main technical and economic indicators such 
as industrial added value, total industrial output value 
and  industrial  sales  output  value,  as  well  as  main 
financial cost indicators, employees and total wages; 
Data  statistics  and  analysis  methods.  In  order  to 
process the  data and verify  the  research hypothesis, 
the data analysis methods used in this study mainly 
include:  descriptive  statistical  analysis,  analysis  of 
variance,  correlation  analysis,  exploratory  factor 
analysis,  confirmatory  factor  analysis,  structural 
equation  model  analysis  and  hierarchical  linear 
model analysis. 
4  CONCLUSIONS 
Using  structural  equation  model  and  difference 
analysis method, supply chain information discusses 
the  relationship  between  information  system 
collaboration,  information  sharing  and  operation 
performance  between  manufacturers  and  suppliers, 
and obtains some meaningful conclusions: firstly, we 
believe that information system collaboration among 
supply  chain  partners  is  a  unique,  scarce  and  non 
imitatable competitive resource of enterprises, It can 
bring  sustainable  competitive  advantage  to 
enterprises; Secondly, our empirical results show that 
information  system  collaboration  among  supply 
chain  partners  plays  a  very  important  role  in 
improving  the  content  and  quality  of  information 
sharing; Thirdly, our empirical results also find that 
the direct effect of information system collaboration 
among supply chain partners on enterprise operation 
performance is not significant; Fourth, our empirical 
results also show that the information sharing content 
and information sharing quality among supply chain 
partners  have  a  significant  positive  impact  on  all 
dimensions  of  enterprise  operation  performance, 
which  means  that  the  information  system 
collaboration  among  supply  chain  partners  has  a 
significant  indirect  effect  on  enterprise  operation 
performance.  Senior  management  should  not  only 
pay  attention  to  the  construction  of  information 
infrastructure of investment enterprises, but also pay 
attention  to  the  seamless  connection  with  the 
information  systems  of  upstream  and  downstream 
enterprises of supply chain partners, so as to improve 
the coordination level of information systems among 
supply chain partners, so as to cultivate them into the 
company's  core  resources,  which  will  bring 
sustainable  competitive  advantages  and  benefits  to 
the company. Only when the mutual trust relationship 
reaches  a  certain  level,  the  information  systems  of 
both sides can realize seamless connection. 
REFERENCES 
Asamoah  D,  Agyei-Owusu  B,  Andoh-Baidoo  F  K,  et  al. 
Inter-organizational  systems  use  and  supply  chain 
performance:  Mediating  role  of  supply  chain 
management  capabilities.  International  Journal  of 
Information Management: vol.10, no.21, pp.95, 2020. 
Basak  M,  Guha  I.  E-Procurement  Utilisation  in  the 
Maintenance  Repair  and  Overhaul  (MRO)  Supply 
Chain  by  SMEs  in  India.  Journal  of  Cases  on 
Information Technology, vol.18, no.2, pp.51-61, 2016. 
Kim Y W, Han S H, Yi J S, et al. Supply chain cost model 
for  prefabricated  building  material  based  on  time-
driven  activity-based  costing.  Canadian  Journal  of 
Civil Engineering, vol.25, no.10, pp.22, 2016. 
Long, Qingqi. A framework for data-driven computational 
experiments  of  inter-organizational  collaborations  in 
supply chain networks. INFORMATION SCIENCES, 
no.39, pp.43-63, 2017. 
Partanen  J,  Kohtamki  M,  Patel  P  C,  et  al.  Supply  chain 
ambidexterity  and  manufacturing  SME  performance: 
The  moderating  roles  of  network  capability  and 
strategic  information  flow.  International  Journal  of 
Production Economics, no.21, pp.70, 2020. 
Rameshwar D, Angappa G, Childe S J, et al. Examining the 
role  of  big  data  and  predictive  analytics  on 
collaborative  performance  in  context  to  sustainable 
consumption  and  production  behaviour.  Journal  of 
Cleaner Production, vol.196, no.4, pp.15-21, 2018. 
Singh A, Teng J. Enhancing supply chain outcomes through 
Information  Technology  and  Trust.  Computers  in 
Human Behavior, vol.54, no.12, pp.290-300, 2016. 
Tran  T,  Childerhouse  P,  Deakins  E.  Supply  chain 
information  sharing:  Challenges  and  risk  mitigation 
strategies.  Journal  of  Manufacturing  Technology 
Management, vol.27, no.8, pp.11-16, 2016. 
Wu F, Ma J, Li Y. Complex Fluctuation of Power Price in 
Dual-Channel and Multienergy Supply Chain Based on