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Adrian Gardiner - Georgia Southern University. Statesboro, GA, US

Adrian Gardiner Adrian Gardiner

Associate Professor | Georgia Southern University

Statesboro, GA, UNITED STATES

Adrian Gardiner's research interests cover psychological issues in information systems

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Biography

Adrian Gardiner, Ph.D., is an associate professor in the Department of Information Systems at the Georgia Southern University. He earned his doctorate in Information Systems from the University of New South Wales, Sydney, Australia in 2004. His research interests cover psychological issues in information systems.

Areas of Expertise (4)

Data Analysis

Decision Support Systems

OLAP

Data Management

Accomplishments (5)

Charles R. Gibbs Faculty Award

2015

Parker College of Business Administration Dean’s Citation for Student Engagement

2012

Parker College of Business Administration Dean’s Citation for Student Engagement

2009

The College of Information Technology Excellence in Teaching Award

2008

Parker College of Business Administration Dean’s Citation for Student Engagement

2006

Education (3)

The University of New South Wales: Ph.D, School of Information Systems, Technology & Management 2004

University of Queensland Business School: M.A., Financial Management 1993

Queensland University of Technology: B.S., Accounting 1988

Articles (5)

Data analytics vs. data science: A study of similarities and differences in undergraduate programs based on course descriptions Journal of Information Systems Education

Cheryl L Aasheim, Susan Williams, Paige Rutner, Adrian Gardiner

2015

The rate at which data is produced and accumulated today is greater than at any point in history with little prospect of slowing. As organizations attempt to collect and analyze this data, there is a tremendous unmet demand for appropriately skilled knowledge workers. In response, universities are developing degree programs in data science and data analytics. As a contribution to the design and development of these programs, this paper presents findings from a review of the descriptions of courses offered in a small sample of undergraduate programs in data science and data analytics. Our investigation clarifies and illustrates the similarities and differences between undergraduate data analytics and data science programs.

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A linkedin analysis of career paths of information systems alumni Journal of the Southern Association for Information System

Thomas L Case, Adrian Gardiner, Paige Rutner, John N Dyer

2012

Information harvested from the LinkedIn profiles for 175 graduates of an Information Systems program at a mid-sized comprehensive university in the southeastern USA are summarized in this investigation. The current investigation was undertaken to examine the extent to which LinkedIn profiles are able to provide a more realistic picture of entry-level jobs held by program alumni and subsequent career progress. Additionally, our results suggest that LinkedIn profiles can help answer questions such as: what jobs do IS graduates get, what does the career of an IS professional typically look like, and can IS graduates successfully transition from technical to managerial positions? Our findings also suggest that information in LinkedIn profiles can be used to assess the long-term outcomes of IS programs.

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Recruiters' Perceptions of Information Systems Graduates with Traditional and Online Education Journal of Information Systems Education

Manouchehr Tabatabaei, Adrian Gardiner

2012

Online education is on the rise as the number of online courses and degrees has increased significantly in recent years. This trend will continue as many institutions incorporate online studies as part of redesigning and making changes to their curricula. As a result, an increasing number of graduates with a significant part of their education completed online will start to appear in the job market. However, it remains unclear how these graduates are regarded within the job market, compared to their counterparts with strictly traditional studies. To investigate this issue, we presented a set of vignettes describing hypothetical Information Systems (IS) graduates to 82 IS professionals with recruitment experience to ascertain whether an IS graduate’s education mode (online versus traditional studies) influence their employment judgments. The findings did not support the notion that an IS graduate’s education mode was an important consideration to recruiters. In contrast, other factors included in the vignettes, such as work experience and academic performance were more salient to recruiters. Overall, our findings agree with the viewpoint that online education is evolving into a viable alternative to traditional education, with other factors’ dominating perceptions of IS graduate attractiveness.

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Supporting creativity in software development: an application in IT education Online and Distance Learning: Concepts, Methodologies, Tools, and Applications

Aybüke Aurum, Meliha Handzic, Adian Gardiner

2008

This chapter examines the potential of the application of an individual creativity-enhancing technique (called SoloBrainstorming, or SBS) to improve the level of creativity of Information Technology (IT) students in performing information system (IS) requirements determination. Requirements determination, in the context of software development, involves gaining an understanding of the underlying issues related to a business problem, and also considering potential solutions. The chapter begins with a definition of creativity, followed by an overview of strategies suggested to enhance creativity. The SBS technique is then introduced, followed by a report of empirical results from its application. Finally, we offer advice for IT education in terms of incorporating creativity-enhancing techniques into the IT course curriculum.

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A Zachman cube Issues in Information Systems

Vladan Jovanovic, Stevan Mrdalj, Adrian Gardiner

2006

The Zachman Framework (ZF) is a matrix of distinct stakeholder perspectives and unique concerns or aspects of information system architecture. This work suggests how the ZF can be extended into a multidimensional Zachman’s Cube. We illustrate its use with a set of UML usage styles, but one can choose other global system dimensions—for example, security.

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