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This paper investigates the phenomenon of reinforcing inspiration for technology acceptance by improving memory and software training results Neuro-physiological performance. Monitoring of cortisol levels provided feedback for a decision support system that measured errors and elapsed time for training tasks completed by end-users of a health care application. The training success was measured utilizing statistics, SEM and a Fuzzy approach. The predictive model was implemented by comparing the regression, fuzzy logic and SEM results. Data collected from 338 health care workers were used to test a proposed model that inspiration, memory, and inspirational memory affect end user intention to adopt a digitized patient record software application. Structural equation modeling showed that, as expected, inspiration affected the individual behavior of the end users. Inspiration had an interactive impact through memory on collective acceptance of the technology, thereby affecting subsequent evaluations and behavior. The proposed model was nomologically validated through the use of a portable platform loaded with software for the electronic collection of operational-level health care data. Embedded metrics measured participants' memory as operationalized by task completion time, number of errors, and completeness of the data. In order to triangulate the results, salivary cortisol levels collected from 74 health care workers were used to measure whether inspiration improves memory and affects end user intention to adopt the application through reduced errors and decreased completion times. This paper contributes to the literature by introducing inspiration as a key driver that improves memory to affect end user intention to use digitized patient record technology. [ABSTRACT FROM AUTHOR]

In this paper, we investigate the impact of team size on the software development effort. Using field data of over 200 software projects from various industries, we empirically test the impact of team size and other variables—such as software size in function points, ICASE tool and programming language type—on software development effort. Our results indicate that software size in function points significantly impacts the software development effort. The two-way interactions between function points and use of ICASE tool, and function points and language type are significant as well. Additionally, the interactions between team size and programming language type, and team size and use of ICASE tool were all significant. [ABSTRACT FROM AUTHOR]

Speech recognition is a particularly important technology for mobile computing since it provides a smaller, lighter interface than a keyboard. This paper investigates the impact of user''s gender and user''s computer experience on the performance of a speech recognition system. Using a field study of 33 users, voice-activated medical tracking application and a mobile healthcare fieldwork environment, we illustrate that the user''s gender, user''s computer experience and the interaction between the user''s gender and computer experience has an impact on the performance of a speech recognition system. [Copyright &y& Elsevier]