3. Structural Equation Modeling (35 points) You may recall the discussion in class about the TAM (Technology Acceptance Model) example. The researcher now wants to expand the research scope by further look several more relationships in the model. First, the researcher would like to test a set of two hypotheses ie., the subjective norm would influence adoption intention, and the subjective norm would also influence perceived system ease of use. Also, the researcher also thinks that both job relevancy and timeliness would influence perceived system ease of use. Based on the above information, construct an updated model. Find the path coefficients of the model, and t-values of these coefficients using a bootstrapping with 100 cases [Updated on 3/29] and 200 samples. Also, please also conduct the regression models for comparison. Perceived System Usefulness (PU) PU1: Using the system improves my job performance. PU2 :Using the system in my job increases my productivity. PU3: Using the system enhances my job effectiveness. PU4: I find the system useful in my job. Perceived System Ease of Use (PEQU) PEOU1: My interaction with the system is clear and understandable. PEOU2: Interacting with the system does not require lots of my mental effort. PEOU3: I find the system easy to use. PEOU4: I find it easy to get the system to do what I want it to do. Subject Norms (SN) . SN1: People who influence my behavior think that I should use the system. SN2: People who are important to me think that I should use the system. Job Relevancy (JR) . JR1: In my job, usage of the system is important. JR2: In my job, usage of the system is relevant. Adoption Intention (Al) All: Assuming I have access to the system, I intend to use the system. . A12: Given that I have access to the system, I predict that I would use the system. Timeliness (TI) . TI1: I get the information you need in time. . T12: The system provides up-to-date information