Table A3 ICC results according to...

Table A3

ICC results according to RStudio

Construct: Digital capability
							95% Confidence interval³
	Type¹	ICC²	F-test	df1	df2	p-value	Lower bound	Upper bound
Average_random_raters	ICC2k	0.82	6.5	334	3,340	6.8e−191	0.81	0.83

Construct: Digital capability
Average_random_raters	ICC2k	0.82	6.5	334	3,340	6.8e−191	0.81	0.83

Construct: Digital cloud technology
							95% Confidence interval³
	Type¹	ICC²	F-test	df1	df2	p-value	Lower bound	Upper bound
Average_random_raters	ICC2K	0.85	6.9	334	668	1.1e−98	0.83	0.86

Construct: Digital cloud technology
Average_random_raters	ICC2K	0.85	6.9	334	668	1.1e−98	0.83	0.86

Construct: Digital strategy
							95% Confidence interval³
	Type¹	ICC²	F-test	df1	df2	p-value	Lower bound	Upper bound
Average_random_raters	ICC2K	0.92	16	334	3,006	0	0.92	0.93

Construct: Digital strategy
Average_random_raters	ICC2K	0.92	16	334	3,006	0	0.92	0.93

Construct: Management support
							95% Confidence interval³
	Type¹	ICC²	F-test	df1	df2	p-value	Lower bound	Upper bound
Average_random_raters	ICC2K	0.79	5.5	334	668	1.7e−78	0.76	0.81

Construct: Management support
Average_random_raters	ICC2K	0.79	5.5	334	668	1.7e−78	0.76	0.81


						95% Confidence interval³
Type¹	ICC²	F-test	df1	df2	p-value	Lower bound	Upper bound
ICC2K	0.94	18	334	3,674	0	0.94	0.94

Construct: Organizational performance
	ICC2K	0.94	18	334	3,674	0	0.94	0.94

Note(s): ¹ Type = CC2K is the two-way Mixed Effect Model convention using the mean value of K raters. Its calculation in RStudio is carried out by means of the following function: ICC (dataframe, missing = TRUE, alpha = 0.5, lmer = TRUE, check.keys = FALSE)

² CCI: Values between 0.75 and 0.9 indicate good reliability and values greater than 0.9 indicate excellent reliability (Koo and Li, 2016)

³ At 95% confidence all CCI values are between the lower and upper limits

Source(s): Authors own

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