Figure 2
The thirteen latent variables are each represented by a circular node with the following labels: “Inventory,” “Linear Programming,” “Network,” “Probabilistic Programming,” “Dynamic Programming,” “Non Linear Programming,” “Goal Programming,” “Integer Programming,” “Decision Theory,” “Simulation,” “Forecasting,” “Queueing,” and “Financial Performance.” “Inventory” is positioned on the top left. From “Inventory,” six arrows point upward to six rectangles arranged in a clockwise direction labeled as follows: “Activation,” “Adoption,” “Awareness,” “Evaluation,” “Interest,” and “Trial.” These arrows are labeled 0.636 (0.000), 0.473 (0.000), 0.582 (0.000), 0.862 (0.000), 0.797 (0.000), and 0.807 (0.000). “Linear Programming” is present on the left. From “Linear Programming,” six arrows point leftward to six rectangles arranged in a vertical series labeled as follows: “Activation,” “Adoption,” “Awareness,” “Evaluation,” “Interest,” and “Trial.” These arrows are labeled 0.642 (0.000), 0.343 (N a N), 0.583 (0.000), 0.856 (0.000), 0.797 (0.000), and 0.800 (0.000). “Network” is present below “Inventory.” From “Network,” six arrows point leftward to six rectangles arranged in a vertical series labeled as follows: “Activation,” “Adoption,” “Awareness,” “Evaluation,” “Interest,” and “Trial.” These arrows are labeled 0.604 (0.000), 0.356 (N a N), 0.614 (0.000), 0.856 (0.000), 0.800 (0.000), and 0.805 (0.000). “Probabilistic Programming” is present below “Linear Programming.” From “Probabilistic Programming,” six arrows point leftward to six rectangles arranged in a vertical series labeled as follows: “Activation,” “Adoption,” “Awareness,” “Evaluation,” “Interest,” and “Trial.” These arrows are labeled 0.641 (0.000), 0.409 (N a N), 0.603 (0.000), 0.857 (0.000), 0.797 (0.000), and 0.789 (0.000). “Dynamic Programming” is present below “Network.” From “Dynamic Programming,” six arrows point leftward to six rectangles arranged in a vertical series labeled as follows: “Activation,” “Adoption,” “Awareness,” “Evaluation,” “Interest,” and “Trial.” These arrows are labeled 0.615 (0.000), 0.499 (N a N), 0.612 (0.000), 0.845 (0.000), 0.796 (0.000), and 0.769 (0.000). “Non Linear Programming” is present below “Probabilistic Programming.” From “Non Linear Programming,” six arrows point leftward to six rectangles arranged in a vertical series labeled as follows: “Activation,” “Adoption,” “Awareness,” “Evaluation,” “Interest,” and “Trial.” These arrows are labeled 0.643 (0.000), 0.464 (N a N), 0.585 (0.000), 0.855 (0.000), 0.787 (0.000), and 0.802 (0.000). “Goal Programming” is present below “Non Linear Programming.” From “Goal Programming,” six arrows point leftward to six rectangles arranged in a vertical series labeled as follows: “Activation,” “Adoption,” “Awareness,” “Evaluation,” “Interest,” and “Trial.” These arrows are labeled 0.646 (0.000), 0.490 (N a N), 0.580 (0.000), 0.847 (0.000), 0.790 (0.000), and 0.801 (0.000). “Integer Programming” is present below “Dynamic Programming.” From “Integer Programming,” six arrows point downward to six rectangles arranged in a clockwise direction labeled as follows: “Activation,” “Adoption,” “Awareness,” “Evaluation,” “Interest,” and “Trial.” These arrows are labeled 0.617 (0.000), 0.448 (N a N), 0.588 (0.000), 0.862 (0.000), 0.791 (0.000), and 0.801 (0.000). “Decision Theory” is present on the lower right of “Inventory.” From “Decision Theory,” six arrows point upward to six rectangles arranged in a clockwise direction, labeled as follows: “Activation,” “Adoption,” “Awareness,” “Evaluation,” “Interest,” and “Trial.” These arrows are labeled 0.579 (0.000), 0.351 (N a N), 0.601 (0.000), 0.819 (0.000), 0.779 (0.000), and 0.875 (0.000). “Forecasting” is present below “Decision Theory.” From “Forecasting,” six arrows point downward to six rectangles arranged in a clockwise direction labeled as follows: “Activation,” “Adoption,” “Awareness,” “Evaluation,” “Interest,” and “Trial.” These arrows are labeled 0.633 (0.000), 0.492 (0.000), 0.607 (0.000), 0.851 (0.000), 0.790 (0.000), and 0.802 (0.000). “Queueing” is present on the upper right of “Forecasting.” From “Queueing,” six arrows point downward to six rectangles arranged in a clockwise direction labeled as follows: “Activation,” “Adoption,” “Awareness,” “Evaluation,” “Interest,” and “Trial.” These arrows are labeled 0.692 (0.000), 0.455 (N a N), 0.575 (0.000), 0.854 (0.000), 0.774 (0.000), and 0.816 (0.000). “Simulation” is present on the upper right. From “Simulation,” six arrows point upward to six rectangles arranged in a clockwise direction labeled as follows: “Activation,” “Adoption,” “Awareness,” “Evaluation,” “Interest,” and “Trial.” These arrows are labeled 0.615 (0.000), 0.417 (N a N), 0.576 (0.000), 0.855 (0.000), 0.793 (0.000), and 0.791 (0.000). “Financial Performance” with an inner circle value of 0.839 is present on the far right. From “Financial Performance,” seven arrows point rightward to seven rectangles arranged in a vertical series and labeled from top to bottom as follows: “N F P 1,” “N F P 2,” “N F P 3,” “N F P 4,” “N F P 5,” “N F P 6,” “N F P 7,” “N F P 8,” and “N F P 9.” These arrows are labeled 0.707 (0.000), 0.720 (0.000), 0.694 (0.000), 0.724 (0.000), 0.762 (0.000), 0.772 (0.000), 0.731 (0.000), 0.777 (0.000), 0.710 (0.000), and 0.737 (0.000). Arrows from “Inventory,” “Linear Programming,” “Network,” “Probabilistic Programming,” “Dynamic Programming,” “Non Linear Programming,” “Goal Programming,” “Integer Programming,” “Decision Theory,” “Simulation,” “Forecasting,” and “Queueing” lead to “Financial Performance.” These arrows are labeled 0.164 (0.001), 0.099 (0.010), 0.112 (0.011), 0.132 (0.005), 0.111 (0.079), 0.111 (0.004), negative 0.030 (0.440), negative 0.033 (0.456), 0.140 (0.003), 0.056 (0.228), 0.124 (0.005), and 0.066 (0.153), respectively.Path analysis coefficient between the ORM application and NFP. Source: Smart PLS output