Table 3 Results of validity and reliability analysis (n = 377)

From: What influences user continuous intention of digital museum: integrating task-technology fit (TTF) and unified theory of acceptance and usage of technology (UTAUT) models

Variable

Measurement variable

Factor loadings

α

CR

AVE

Task characteristics

TAC1

0.816

0.847

0.848

0.650

TAC2

0.793

TAC3

0.809

Technology characteristics

TEC1

0.787

0.829

0.829

0.617

TEC2

0.781

TEC3

0.789

Task-technology fit

TTF1

0.769

0.811

0.811

0.589

TTF2

0.753

TTF3

0.781

Performance expectancy

PEX1

0.755

0.820

0.815

0.595

PEX2

0.782

PEX3

0.776

Effort expectancy

EE1

0.784

0.814

0.850

0.586

EE2

0.779

EE3

0.774

EE4

0.723

Social influence

SI1

0.794

0.864

0.883

0.654

SI2

0.813

SI3

0.801

SI4

0.825

Continuous behavioral intention to use

CBIU1

0.783

0.845

0.840

0.637

CBIU2

0.803

CBIU3

0.808

Perceived enjoyment

PEN1

0.815

0.859

0.860

0.671

PEN2

0.799

PEN3

0.844

Design aesthetics

DA1

0.803

0.849

0.850

0.654

DA2

0.794

DA3

0.829

Perceived cultural value

PCV1

0.783

0.830

0.831

0.621

PCV2

0.813

PCV3

0.767

  1. α Cronbach’s alpha, CR composite reliability, AVE average variance extracted