8 research outputs found

    An Evaluation of Three Chinese CS&T Curricula

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    This paper describes the undergraduate computer science and technology (CS&T) curriculum at three Chinese universities - one national and two regional. On the basis of admission criteria, curriculum content, and internships these curricula are compared with equivalent US universities. The purpose of this analysis is to help American educators and IT professionals understand what CS&T product is produced by their Chinese counterpart. With offshore outsourcing going to China, this information will be useful to decision makers who wish to know the quality of the potential IT labor force in the Chinese market

    The True Cost of Pair Programming: Development of a Comprehensive Model and Test

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    This study aims to answer the following research question: compared to solo programming, is pair programming a more cost effective method for developing software? This paper proposes a research model based on theories and previous empirical studies. It discusses a multi-study approach to address the question in hand. The first study is a survey of practitioners in regards to their experience and perception of the cost of pair programming. Information acquired from the survey are then fed into simulation models as input parameters with the purpose to identify situations where pair programming is or is not more cost effective than solo programming

    Socio-Cognitive Assessment of Physicians\u27 Engagement with Electronic Medical Records (EMR): A Pre-EMR Implementation Study in Developing Countries

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    This study assesses physicians’ intention to engage with electronic medical records (EMR) in the context of pre-EMR implementation in developing countries. We developed a model and corresponding hypotheses grounded in the sociocognitive theory and the decomposed theory of planned behavior. A survey of physicians in the Middle-East was conducted and the results empirically analyzed via PLS. We find that, in developing countries, in pre-EMR implementation stages, the critical predictors of intention to engage with complex technologies such as EMR are physicians’ perceptions of computer self-efficacy, technology support, and effort expectations. Performance expectations and social influences did not have a significant impact on intention to use EMR. Theoretical and practical implications of this research are discussed

    There All Along? A Preliminary Meta-Analysis of the Moderating Gender Effects in Technology Acceptance Research

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    Technology acceptance is one of the most extensive streams of research in the information systems literature. Building on previous work, it has recently been proposed that the gender of information system users moderates the relationships between intention to use a technology and its most important determinants, perceived usefulness and perceived ease of use. A better understanding of the magnitude of this effect and its implications seems important in the development of practical applications of the theory, such as those related to training and motivational interventions. This research reports on a preliminary meta-analysis of extant literature in mainstream journals employing the proportion of men and women in the studies as an indicator of the expected relationships. An explanation of this approach is provided, and preliminary results are discussed

    A Monte Carlo Investigation of Partial Least Squares, With Implications for Both Structural and Measurement Models

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    Partial Least Squares (PLS) is a popular technique with extensive adoption within the Information Systems research community. However, the statistical performance of PLS has not been extensively studied, and recent research has questioned some of its purported advantages. The simulation study reported here analyzed the performance of PLS with regards to the recovery and estimation accuracy of both structural and measurement parameters. Somewhat surprisingly, the effects of estimation bias on the latter and their implications for the evaluation of measurement models have not been the focus of past research. Results show the existence of an important degree of bias in both sets of estimates, and the conflicting effect of increased sample size with additional indicators per composite variable

    Do Software Professionals’ Job Perceptions Differ in Organizations Adopting Different Software Process Models? A Survey from the Industry

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    This study assesses software professionals’ job perceptions in organizations adopting different software process models. We developed hypotheses grounded in the formal control and the informal control theories. We plan to conduct a survey of software professionals in organizations utilizing different process models. Theoretical and practical implications of this research are discussed

    Information Technology and Human Factors Affecting the Accuracy of the Active Medication List: An Empirical Study Based on Three Hospitals

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    In this paper, we took the sociotechnical theoretical lens to identify the human and the technology factors that affect the quality of the Active Medication List (AML). We conducted a survey of nurses, physicians, and pharmacists in three hospitals. The preliminary results suggest both human factors - list taker and list source have significant effects on AML. Regarding the two information technology factors, user interface design is significant but system connectivity is not. List taker and list source explain 17.3% of the variation in AML, and user interface design and system connectivity explain 29.5% of the variation in AML

    Categorization of Technologies: Insights from the Technology Acceptance Literature

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    This study develops a technology category framework to enable the investigation of a possible moderating effect of technology type on adoption behavior by extracting and analyzing the technology descriptions from 950 papers covering over 20 years of technology acceptance research. We utilize both human judgment and statistical techniques by using the results of the manual sorting of technology descriptions by six individuals as input for a multidimensional scaling and cluster analysis to group them into hierarchical cluster structures. One of several potential cluster solutions is selected for further discussion along with its limitations and the future work it suggest
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