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Table 9 Hypotheses summary table

From: Analyzing the moderating effects of respondent type and experience on the fuel efficiency improvement in air transport using structural equation modeling

Hypotheses

Evidence

Supported?

H1: AFP → ATD

0.101***

Yes

H2: AFP → AO

0.035 (ns)

Not

H3: SEP → ATD

0.368***

Yes

H4: SEP → AO

0.0467***

Yes

H5: AI → ATD

0.042 (ns)

Not

H6: AI → AO

0.609***

Yes

H7: SEP → AFP

0.053***

Yes

H8: SEP → AI

0.025***

Yes

H9: AFP → AI

0.003 (ns)

Not

Multi-group moderation

H3a: Industry type moderates the positive effect of SEP on ATD that such the effect is stronger for aviation industry respondents.

Academic:0.268***

Aviation:0.515***

∆Zscore:3.57***

Yes:

Stronger for aviation respondents

H4a: Experience moderates the positive effect of SEP on AO such that the effect is stronger for higher experience.

Experience low: 0.380***

Experience high:0.618***

∆Zscore:2.437***

Yes:

Stronger for more experienced respondents

Interaction

H1b: An increase in SEP will strengthen the negative relationship between ATD and AFP.

Interaction effect:

−0.015

Not

H6b: An increase in SEP will strengthen the negative relationship between AO and AI.

Interaction effect:

−0.022

Not

  1. ns Not significant
  2. *** p-value < 0.01; ** p-value < 0.05