Figure 3
The horizontal axis has markings “Public,” “Industrial,” “Services,” and “High-tech.” The vertical axis is labeled “Knowledge Acquisition” and ranges from 4.60 to 5.20 in increments of 0.10 units. The data from the graph are as follows: Public: 5.04 (Positive error: 5.11 and negative error: 4.96). Industrial: 4.95 (Positive error: 5.04 and negative error: 4.85). Services: 4.95 (Positive error: 5.02 and negative error: 4.88). High-tech: 4.69 (Positive error: 4.79 and negative error: 4.59). The plotted line begins at “(Public, 5.04),” slopes downward with a negative slope to “(Industrial, 4.95),” continues with almost a flat line to “(Services, 4.95),” and then drops steeply with a negative slope to terminate at “(High-tech, 4.69).” Each data point is accompanied by vertical error bars representing plus or minus 1 standard error. The text at the bottom reads: “Error bars: plus or minus 1 S E.” Note: All the numerical data values are approximated.Differences between business sectors in perceived AI usefulness to benefit knowledge acquisition. Source: Authors’ own work