Purpose – Partial least squares (PLS) path modeling is a variance-based structural equation modeling (SEM) technique that is widely applied in business and social sciences. Its ability to model composites and factors makes it a formidable statistical tool for new technology research. Recent reviews, discussions, and developments have led to substantial changes in the understanding and use of PLS. The paper aims to discuss these issues. Design/methodology/approach – This paper aggregates new insights and offers a fresh look at PLS path modeling. It presents new developments, such as consistent PLS, confirmatory composite analysis, and the heterotrait-monotrait ratio of correlations. Findings – PLS path modeling is the method of choice if a SEM contains both factors and composites. Novel tests of exact fit make a confirmatory use of PLS path modeling possible. Originality/value – This paper provides updated guidelines of how to use PLS and how to report and interpret its results.

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More powerful contemporary computer hardware has enabled the development and exploration of a wide variety of techniques to depict spatial characteristics of computer-generated objects in three-dimensional (3D) space. Particularly, the role of stereoscopic viewing and the use of object motion to reflect the position and size of objects in 3D space have been extensively studied. However, the effective use of computer-rendered object shadows to provide spatial information about the relative position and size of objects in virtual space has not. Subjects perform two tasks with 3D geometric patterns of objects presented on a computer screen: (1) positioning the object to complete a symmetrical geometric figure and (2) resizing the object to match the size of other objects. Performance accuracy and speed are recorded under the following conditions: (1) objects casting shadows on and off, (2) shadows from one or two light sources (nested within the shadows-on condition), (3) stereoscopic and monoscopic viewing, and (4) different scene backgrounds: flat plane (i.e., floor), "stair-step" floor with no walls, and floor with walls (i.e., room). The use of object shadows as depth cues enhances the accuracy (but not the speed) of object positioning, but does not enhance either the accuracy or the speed of object resizing. Moreover, the object shadows are not as effective as stereoscopic viewing in facilitating both positioning-task and resizing-task performances. Furthermore, task performances degrade with the stair-step scene background and when the number of shadowing light sources increases from one to two.

PurposeThis paper aims to investigate the effects of gender, age and education on new technology implementation in Saudi Arabia, a technologically developing country, using the Theory of Planned Behavior (TPB).Design/methodology/approachThe research was an empirical investigation based on surveys completed by 1,088 Saudi knowledge workers.FindingsThe TPB model performs well in Saudi Arabia. This validation accounts for 37 percent of the variance in behavioral intention among Saudi knowledge workers. For the moderator variables, there were no statistically significant interactions, with the exception of the moderation of perceived behavioral control on behavioral intention by level of education.Research limitations/implicationsSaudi Arabia is an exemplar for many developing nations characterized by distinct intellectual and cultural traditions that differ from Western cultures. Demographic variables (e.g. gender and age) that have been reported to be significant moderators of the influences of attitude, subjective norm and perceived behavioral control on behavioral intention in other cultural samples were found to be non‐significant in this Saudi Arabian sample.Practical implicationsSystem developers using user‐centered design approaches have different design criteria for the successful workforce adoption of information technology (IT) systems in a technologically developing nation, as compared to the workforce of a technologically developed nation.Originality/valueThis paper validates TPB as a multi‐cultural model for investigating the impact of attitudes, beliefs, and subjective norms on technology adoption, and, in contrast to previous studies, indicates the (non)effects of select demographic moderators on the model using a non‐Western sample.

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