Table 4 Low degree of digital transformation influence factor configuration of NAOEs.

From: Examining the factors influencing the digital transformation of new agricultural operating entities: insights from Zhejiang, China

 

Low degree of digital transformation

P1a

P1b

P2a

P2b

P3

Condition variable

Profit

◎

◎

◎

  

Safe

◎

◎

  

◎

Manager

◎

◎

◎

◎

◎

Learning

1

  

◎

1

Government

◎

◎

◎

◎

◎

Market

 

1

 

◎

1

Labor

  

◎

◎

1

 

Raw coverage

0.540

0.570

0.752

0.313

0.175

 

Unique coverage

0.0703

0.0224

0.133

0.00644

0.000107

 

consistency

0.9845

0.996

0.981

0.980

0.988

Overall solution consistency

0.878

Overall solution coverage

0.986

  1. Note 1: “●“ and “◎“ respectively represent the presence and absence of a condition, while blank spaces indicate that the condition may or may not exist. Core conditions are marked with large “●“ and “◎“; edge conditions are marked with small “● “ and “◎.”
  2. Note 2: Raw coverage indicates the share of results explained by a particular solution. Unique coverage indicates the share of results explained by each condition in the causal configuration.
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