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4 result(s) for "Angolia, Mark G."
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Point-and-Click Pedagogy: Is it Effective for Teaching Information Technology?
This paper assesses the effectiveness of the adoption of curriculum content developed and supported by a global academic university-industry alliance sponsored by one of the world’s largest information technology software providers. Academic alliances promote practical and future-oriented education while providing access to proprietary software and technology. Specifically, this paper addresses a lack of quantitative analysis to substantiate the perceived benefits of using information technology “point-and-click” instructional pedagogy to teach fundamental business processes and concepts. The analysis of over 800 test questions from 229 students allowed inferences regarding the utilization of self-directed “point-and-click” driven case studies employed to teach software applications of business processes needed for supply chain management. Correlation studies and analysis of variance investigated data collected from 10 individual course sections over a two-and-one-half-year period in a four-year public university. The data showed statistically significant positive correlations between the pedagogy and conceptual learning. Further, the research provided evidence that the methodology is equally effective for teaching information technology applications using either face-to-face or distance education delivery methods.
Usage of Hybrid Project Management Approaches and Influences on Approach Selection
Changes in technologies and practitioner approaches to project management have led to a mix known as hybrid. This research identifies approaches practitioners currently use and determines possible influences on how a project manager selects an approach for a project. Four hundred participants completed a survey questionnaire to help identify methodologies in use. Additionally, participants reviewed a list of 39 specific project management tools and techniques to indicate their level of use for each of them. Our findings indicate that few project managers exclusively employ agile methodologies without the incorporation of predictive techniques and tools. Chi-square analysis was used to analyze industry, project manager experience level, and type of project to determine the influence on approach selection. The results showed that industry and type of project were important to selection, but a project manager's level of experience was not. A qualitative analysis identified two additional important factors of company policy and team experience. Overall, the study supported that there is no best approach to managing projects, but hybrid is emerging as a predominant approach to exploit the benefits of multiple approaches. Additionally, the data implies a need for greater support, resources, or education to facilitate the successful implementation and longevity of adaptive project management approaches.
Using STEM Camps to Improve Female Interest in Technology Careers
Science, technology, engineering, and math (STEM) fields have been traditionally entered by men, often establishing women as underrepresented in many of these fields. This research study focuses on participants at a STEM camp for middle- and high-school girls designed to introduce them to technology. The camp was held 4 times over 3 years, with many of the participants from rural areas, underrepresented by race and economic status. Sixty camp attendees completed pre- and post-camp surveys and are referred to as the intervention group. A control group of 200 middle- and high-school girls who did not attend the camp also took the survey. This paper focuses on a subset of the survey results that sought to determine the impact on camp participants in the areas of technology self-efficacy and technology career interest as it related to management information systems (MIS). Analysis of the data collected found a significant difference in MIS self-efficacy between the intervention group and control group but no significant difference in choices of MIS-related careers. Results also include recommended improvements to STEM camp design.
Technology's impact on wholesale distribution branch operations
The primary role of a warehouse is to decouple supply from demand, minimize cost, maintain a high degree of inventory control, and assure customer service. To these ends, organizational capabilities, technology, and business practices will determine an operation’s effectiveness. This research investigated the impact of technology and warehousing practices on key performance indicators for wholesale distribution branch operations. An on-line questionnaire gathered objective data from distribution branches on types of technologies utilized, warehouse best practices employed, and inventory control or customer service metrics used to monitor performance. Correlation analysis, multiple linear regression, analysis of variance, and stepwise regression were utilized to determine the impact of the individual technologies, as well as interactions between technology and practices. A salient insight of this research was that technology adoption alone did not produce a discernible difference in performance, and appeared to require industry best practices to generate improvements. Also, when information technology was adopted, there seemed to be approximately one year of implementation required before positive operational results materialized and/or stabilized. The research pointed to warehouse management systems as the predominant information and communication technology (ICT) for discernible differences in inventory related performance, with improved performance realized when combined with ABC inventory stock analysis and/or physical inventory practices. The use of automatic identification and data capture (AIDC) technologies did not show any effect on inventory or customer service metrics, indicating that they are a support tool rather than an impact technology. Neither ICT nor AIDC technologies demonstrated a predictive value for inventory accuracy or on-time shipping performance. Predictive models were created for fill rate and inventory accuracy, but the veracity of the models is somewhat limited by the sample size and study population.