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Dive into the research topics where Susan R. Williams is active.

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Featured researches published by Susan R. Williams.


Transportation Research Part E-logistics and Transportation Review | 2003

The impacts of the integrated logistics systems on electronic commerce and enterprise resource planning systems

Stephen M. Rutner; Brian J Gibson; Susan R. Williams

Abstract The growth of the supply chain concept has required logistics organizations to improve the flow of information both internally and externally. The increased information requirements have facilitated an integration of logistics information systems (LIS) and supply chain information systems in many companies. The increasing use of electronic commerce and enterprise resource planning and other LIS tools and techniques will shape the business process for the foreseeable future. Companies should understand their options and their impacts when making decisions to support their supply chain systems.


Communications of The ACM | 2007

Does telecommuting improve productivity

E. Sonny Butler; Cheryl L. Aasheim; Susan R. Williams

Seeking solid evidence of demonstrable productivity gains.


Journal of Computer Information Systems | 2009

Knowledge and Skill Requirements for IT Graduates

Cheryl L. Aasheim; Susan R. Williams; Eulous Sonny Butler

This study examines the knowledge and skills required of entry-level IT workers as perceived by nearly 600 IT managers and workers from across the United States. In keeping with previous studies, the findings suggest that personal and interpersonal skills are the top rated skills with technical skills following closely behind. Organizational knowledge, particularly knowledge of primary business functions, is important, but less important for entry-level works than technical skills. The findings also suggest that possessing relevant work experience is more important for graduates seeking entry-level positions than a having a high GPA. Implications of the findings for curriculum design, student advisement and job placement are discussed.


Journal of Cases on Information Technology | 2005

Information Technology in the Practice of Law Enforcement

Susan R. Williams; Cheryl L. Aasheim

In February 2001, the Charlotte-Mecklenburg Police Department began the rollout of a “mobile†information system that will eventually enable all information relating to incident reports, arrests, and investigations to be collected, distributed, and managed in a paperless, wireless environment. The system, dubbed Knowledge-Based Community Oriented Policing System (KBCOPS), began as a “grass roots†project within the police department to reduce paperwork, increase data accuracy, share knowledge and information, and promote a problem solving analytical framework. The system has been under development for seven years, from concept to implementation. The strategies and approaches used to develop this system, the technologies employed, and, most importantly, the challenges faced in merging wireless, wired, database, and applications technologies while satisfying the user requirements of the police department are detailed in this report.


International Journal of Technology Management | 2005

Measuring the Impact of Global Information Technology Applications

James E. Whitworth; Susan R. Williams; Prashant Palvia; Cheryl L. Aasheim

The objective of this study is to develop a means of assessing the impact of global information technology applications. Building on the prior work of Pal via (1997), Sethi and King (1994) and Mahmood and Soon (1991) a multi-factor global IT impact measurement model is developed. This model exhibits a high degree of reliability and validity. From a theoretical perspective, this study develops a measurement model that can be used to evaluate the impact of IT in a global environment. From a practitioners point of view, the study provides a better understanding of the factors that should be considered when assessing the impact of global IT applications.


Journal of Computer Information Systems | 2018

Skill Requirements in Big Data: A Content Analysis of Job Advertisements

Adrian Gardiner; Cheryl L. Aasheim; Paige Rutner; Susan R. Williams

ABSTRACT The technology behind big data, although still in its nascent stages, is inspiring many companies to hire data scientists and explore the potential of big data to support strategic initiatives, including developing new products and services. To better understand the skills and knowledge that are highly valued by industry for jobs within big data, this study reports on an analysis of 1216 job advertisements that contained “big data” in the job title. Our results are presented within a conceptual framework of big data skills categories and confirm the multi-faceted nature of big data job skills. Our research also found that many big data job advertisements emphasize developing analytical information systems and that soft skills remain highly valued, in addition to the value placed on emerging hard technological skills.


ACM Inroads | 2012

The TauRUs project: a complement to the Taulbee report

Jodi Tims; Susan R. Williams

Taurus ProjecT: The TauRUs project is a survey that captures information on student enrollments, graduation rates, and faculty salaries/demographics within institutions in the United States that offer bachelor’s and/or master’s programs in computer science, computer engineering, and related fields. Its intent is to complement similar data at Ph.D.-granting institutions that is collected and reported via the Taulbee survey, which has been conducted annually since 1974 by the Computing Research Association (CRA). This report presents data and analysis of the 2010-2011 administration of the TauRUs survey. Results suggest that two primary areas of differentiation between TauRUs and Taulbee institutions are gender distribution of faculty and faculty salaries. specia l report


The Journal of information and systems in education | 2009

Knowledge and Skill Requirements for Entry-Level Information Technology Workers: A Comparison of Industry and Academia.

Cheryl L. Aasheim; Lixin Li; Susan R. Williams


The Journal of information and systems in education | 2015

Data Analytics vs. Data Science: A Study of Similarities and Differences in Undergraduate Programs Based on Course Descriptions.

Cheryl L. Aasheim; Susan R. Williams; Paige Rutner; Adrian Gardiner


The Journal of information and systems in education | 2012

Plagiarism and Programming: A Survey of Student Attitudes

Cheryl L. Aasheim; Paige Rutner; Lixin Li; Susan R. Williams

Collaboration


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Cheryl L. Aasheim

Georgia Southern University

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Adrian Gardiner

Georgia Southern University

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James E. Whitworth

Georgia Southern University

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E. Sonny Butler

Georgia Southern University

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Prashant Palvia

University of North Carolina at Greensboro

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Aimao Zhang

Georgia Southern University

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Hsiang-Jui Kung

Georgia Southern University

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