Table 3 High 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

 

High degree of digital transformation

P1a

P1b

P2

P3a

P3b

Condition variable

Profit

1

1

1

1

1

Safe

1

1

1

  

Manager

●

●

●

●

●

Learning

  

1

 

1

Government

●

●

●

●

●

Market

◎

  

◎

 

Labor

 

1

 

1

1

 

Raw coverage

0.524

0.573

0.453

0.472

0.420

 

Unique coverage

0.032

0.021

0.013

0.018

0.018

 

consistency

0.989

1

0.988

1

1

Overall solution consistency

0.702

Overall solution coverage

0.992

  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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