Page - 252 - in Intelligent Environments 2019 - Workshop Proceedings of the 15th International Conference on Intelligent Environments

Motivational Influence. In the Facebook study, Premadasa and colleagues [19] added Mobility and Interactivity. The models in [11] and [19] were large (containing 14 and 15 variables) with direct and indirect effects of all variables based on survey measures. Each of three interrelated latent variables was predicted by several factors. Table 2 lists the factors, with descriptions of those not previously defined or defined differently. Table 1. Descriptions of Constructs in the ELA and UTAUT models. Table 2. Latent variables and factors from the models in [11], [19], [22] and [23]. Construct UTAUT Component Factors ELAM Component Factors Performance Expectancy (PE) Useful Extrinsic motivation Relative advantage Job fit Outcome expectation Useful Interactive Flexible Effort Expectancy (EE) Ease of use Complexity Ease of use Learning curve Self-efficacy Social Influence (SI) Fits norms and image Fits norms and image Facilitating Conditions (FC) Compatibility Behavioral control Institutional acceptance Latent Variable Predictive Factors Descriptions of Select Factors Adoption Usefulness Ease of Use Social Influence Facilitating Conditions Community Identity Motivational Influence [11] Mobility [19] SI: seeking social approval FC: available infrastructure CI: virtual community membership Purpose of Use Social Relations Work Related Daily Activities SR: personal contacts/activities WR: professional contacts/activities DA: various other daily uses Educational Usage Communication Collaboration Resource/Material Sharing Interactivity [19] E.Damianoetal. /Bridging theDivide: TheCurrentStatusofWeb2.0 inHigherEducation252