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Management Information Systems Commons™

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Faculty Publications

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Full-Text Articles in Management Information Systems

The Business Value Of Social Network Technologies: A Framework For Identifying Opportunities For Business Value And An Emerging Research Program, Degan Kettles, Julie Smith David Jan 2008

The Business Value Of Social Network Technologies: A Framework For Identifying Opportunities For Business Value And An Emerging Research Program, Degan Kettles, Julie Smith David

Faculty Publications

Although social network technologies have been the focus of many articles in the popular and business press, businesses remain unclear about their value. We use theory and data gathered from IT leaders to develop an initial model assessing the value of social network technologies in the business environment. Insights are given into when different features should be used to enhance existing business processes and to provide business value.

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An Overview And Tutorial Of The Repertory Grid Technique In Information Systems Research, Aaron Mosiah Curtis, Taylor Michael Wells, Paul Benjamin Lowry, Trevor Higbee Jan 2008

An Overview And Tutorial Of The Repertory Grid Technique In Information Systems Research, Aaron Mosiah Curtis, Taylor Michael Wells, Paul Benjamin Lowry, Trevor Higbee

Faculty Publications

Interest in the repertory grid technique has been growing in the IS field. This article seeks to inform the reader on the proper use and application of the technique in IS research. The methodology has unique advantages that make it suitable for many research settings. In this tutorial, we describe the technique, its theoretical underpinnings, and how it may be used by IS researchers. We conclude by detailing many IS research opportunities that exist in respect to the repertory grid technique.

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Proposing The Interactivity-Stimulus-Attention Model (Isam) To Explain And Predict The Enjoyment, Immersion, And Adoption Of Purely Hedonic Systems, Paul Benjamin Lowry, Nathan W. Twyman, James Gaskin, Bryan Hammer, Aaron R. Bailey, Tom L. Roberts Jan 2007

Proposing The Interactivity-Stimulus-Attention Model (Isam) To Explain And Predict The Enjoyment, Immersion, And Adoption Of Purely Hedonic Systems, Paul Benjamin Lowry, Nathan W. Twyman, James Gaskin, Bryan Hammer, Aaron R. Bailey, Tom L. Roberts

Faculty Publications

Traditional TAM research primarily focuses on utilitarian systems where extrinsic motivations chiefly explain and predict acceptance. We propose a theoretical model, ISAM, which explains the role of intrinsic motivations in building the user attention that leads to hedonic system acceptance. ISAM combines several theories with TAM to explain how interactivity acts as a stimulus in hedonic contexts—fostering curiosity, enjoyment, and the full immersion of cognitive resources. Two experiments involving over 700 participants validated ISAM as a useful model for explaining and predicting hedonic system acceptance. Immersion and PE are shown to be the primary predictors of behavioral intention to use …

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A Framework For Aligning Testing And Development, Colin Onita, Jasbir Dhaliwal Jan 2007

A Framework For Aligning Testing And Development, Colin Onita, Jasbir Dhaliwal

Faculty Publications

Strategic alignment between an organization’s business strategy/capabilities and those of its information technology (IT) unit has been researched extensively and has found significant application in industry in the last decade. Given the critical interdependencies between development and testing groups within a corporate IT unit, this paper presents a similar alignment model for ensuring that these two functions work together effectively in meeting corporate IT goals pertaining to building new systems. This development-testing alignment (DTA) model is described and an overarching research framework  for investigating its value and application is presented.

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A Theoretical Model And Empirical Results Linking Website Interactivity And Usability Satisfaction, Paul Benjamin Lowry, Trent Spaulding, Taylor Wells, Greg Moody, Kevin Moffit, Sebastian Madariaga Jan 2006

A Theoretical Model And Empirical Results Linking Website Interactivity And Usability Satisfaction, Paul Benjamin Lowry, Trent Spaulding, Taylor Wells, Greg Moody, Kevin Moffit, Sebastian Madariaga

Faculty Publications

Usability is a key component of websites that are commercially successful. Interactivity has been inconclusively linked to website usability. This study strengthens the theoretical understanding of how interactivity affects usability by measuring user satisfaction—a subconstruct of usability—across bookstore and e-card websites. We build on theoretical models from Liu and Shrum [17] and Khalifa and Liu [15]. Users were asked to perform tasks of varying levels of interactivity at bookstore and e-card websites. Measures were obtained for the user’s expectations of, desires for, and satisfaction with the websites. Results indicate that interactivity is successfully able to increase website satisfaction. Finally, implications …

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Online Payment Gateways Used To Facilitate E-Commerce Transactions And Improve Risk Management, Paul Benjamin Lowry, Taylor Michael Wells, Greg Moody, Sean Lamarc Humpherys, Degan Kettles Jan 2006

Online Payment Gateways Used To Facilitate E-Commerce Transactions And Improve Risk Management, Paul Benjamin Lowry, Taylor Michael Wells, Greg Moody, Sean Lamarc Humpherys, Degan Kettles

Faculty Publications

As online transactions continue to increase and become a significant part of the global economy, the ability to accept payments online becomes more important for businesses. This paper evaluates the literature and provides current information for IS researchers and instructors focusing on electronic commerce. In this paper, we explore the components of e-credit providers (conventional, person-to-person, and third-party) and explain how each system processes a single transaction. We then analyze several market leaders in each segment and summarize the strengths and weaknesses of each company. We provide guidelines for selecting an e-credit provider and highlight the options that apply best …

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A Semantic Web Data Retrieval Implementation With An Adaptive Model For Supporting Agent Decision Structures, James V. Hansen, James B. Mcdonald, Conan C. Albrecht, Douglas L. Dean, Bonnie B. Anderson Jan 2005

A Semantic Web Data Retrieval Implementation With An Adaptive Model For Supporting Agent Decision Structures, James V. Hansen, James B. Mcdonald, Conan C. Albrecht, Douglas L. Dean, Bonnie B. Anderson

Faculty Publications

This paper proposes an adaptive learning approach that yields decision models that can be applied by a transactions agent. This model can learn effectively with a variety of data distributions. This research used the Semantic Web as a data access approach. The Semantic Web is a method that sellers can use to publish semantically meaningful information on Websites so that automated applications can reliably access that information. We implemented a Semantic Web composed of 30 vendors’ Web pages and a spider to search those pages to obtain product and vendor information. This information was used to train a learning agent, …

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Deception Detection Through Automatic, Unobtrusive Analysis Of Nonverbal Behavior, Thomas O. Meservy, Matthew L. Jensen, John Kruse, Judee K. Burgoon, Jay F. Nunamaker Jr., Douglas P. Twitchell, Gabriel Tsechpenakis, Dimitris N. Metaxas Jan 2005

Deception Detection Through Automatic, Unobtrusive Analysis Of Nonverbal Behavior, Thomas O. Meservy, Matthew L. Jensen, John Kruse, Judee K. Burgoon, Jay F. Nunamaker Jr., Douglas P. Twitchell, Gabriel Tsechpenakis, Dimitris N. Metaxas

Faculty Publications

Every day, hundreds of thousands of people pass through airport security checkpoints, border crossing stations, or other security screening measures. Security professionals must sift through countless interactions and ferret out high-risk individuals who represent a danger to other citizens. During each interaction, the security professional must decide whether the individual is being forthright or deceptive. This task is difficult because of the limits of human vigilance and perception and the small percentage of individuals who actually harbor hostile intent. Our research initiative is based on a behavioral approach to deception detection. We attempted to build an automated system that can …

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Dependability Auditing With Model Checking, Bonnie Anderson, James Hansen, Paul Benjamin Lowry Jan 2005

Dependability Auditing With Model Checking, Bonnie Anderson, James Hansen, Paul Benjamin Lowry

Faculty Publications

Model checking offers a methodology for determining whether a model satisfies a list of correctness requirements. We propose a theory of dependability auditing with model checking based on four principles: (1) The modeling process should be partitioned into computational components and behavioral components as an aid to system understanding; (2) The complex system will be abstracted to create a model; (3) A language must be available that can represent and evaluate states and processes that evolve over time; (4) Given an adequate model and temporal specifications, a model checker can verify whether or not the input model is a model …

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Data Mining Of Forensic Association Rules, James V. Hansen, Paul Benjamin Lowry, Rayman D. Meservy Jan 2003

Data Mining Of Forensic Association Rules, James V. Hansen, Paul Benjamin Lowry, Rayman D. Meservy

Faculty Publications

Data mining offers a potentially powerful method for analyzing the large data sets that are typically found in forensic computing (FC) investigations to discover useful and previously unknown patterns within the data. The contribution of this paper is an innovative and rigorous data mining methodology that enables effective search of large volumes of complex data to discover offender profiles. These profiles are based on association rules, which are computationally sound, flexible, easily interpreted, and provide a ready set of data for refinement via predictive models. Methodology incorporates link analysis and creation of predictive models based on association rule input.

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Innovate Or Evaporate . . . Business Concept Innovation In The Furniture Industry In The Age Of Information, Steven H. Bullard Jan 2002

Innovate Or Evaporate . . . Business Concept Innovation In The Furniture Industry In The Age Of Information, Steven H. Bullard

Faculty Publications

Introduction The U.S. furniture industry has changed dramatically in recent years. Furniture manufacturers, for example, have recently faced competition from foreign producers that has been particularly intense – resulting in factory closings and job losses in many areas of the country, including the Mid-South. In Mississippi, for example, the number of employees in furniture and fixtures industries dropped by 2,100 (6.8%) in the year 2000 (Center for Policy Research and Planning 2001). Similar job losses have been occurring in Tennessee, Virginia, North Carolina and other important furniture-producing states. Nationwide, employment in furniture and fixtures manufacturing dropped by 40,000 (7.2%) from …

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Focused Graduate Education: An Invisible But Real Competitive Edge, Roland D. Kankey, Jan P. Muczyk, Neal M. Ely Oct 1997

Focused Graduate Education: An Invisible But Real Competitive Edge, Roland D. Kankey, Jan P. Muczyk, Neal M. Ely

Faculty Publications

The future mission of the Air Force will be diverse and complex. Advanced technology will play an increasingly prominent role; a smaller force must accomplish more. To support this mission, our acquisition corps must be intellectually capable, well educated and trained. Focused graduate education will be essential to sustain this effort.

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An Adaptive Learning Model Which Accommodates Asymmetric Error Costs And Choice-Based Samples, James V. Hansen, James B. Mcdonald, Rayman D. Meservy Oct 1995

An Adaptive Learning Model Which Accommodates Asymmetric Error Costs And Choice-Based Samples, James V. Hansen, James B. Mcdonald, Rayman D. Meservy

Faculty Publications

This paper introduces an adaptive-learning model, EGB2, which optimizes over a parameter space to fit data to a family of models based on maximum-likelihood criteria. We also show how EGB2 can be modified to handle asymmetric costs of Type I and Type II errors, thereby minimizing misclassification costs. It has been shown that standard methods of computing maximum-likelihood estimators of qualitative-response models are generally inconsistent when applied to sample data with different proportions than found in the universe from which the sample is drawn. We investigate how a choice estimator, based on weighting each observation's contribution to the log-likelihood function, …

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Case-Based Reasoning: Application Techniques For Decision Support, James V. Hansen, Rayman D. Meservy, Larry E. Wood Jan 1995

Case-Based Reasoning: Application Techniques For Decision Support, James V. Hansen, Rayman D. Meservy, Larry E. Wood

Faculty Publications

Decision-support systems can be improved by enabling them to use past decisions to assist in making present ones. Reasoning from relevant past cases is appealing because it corresponds to some of the processes an expert uses to solve problems quickly and accurately. All this depends on an effective method of organizing cases for retrieval. This paper investigates the use of inductive networks as a means for case organization and outlines an approach to determining the desired number of cases-or assessing the reliability of a given number. Our method is demonstrated by application to decision making on corporate tax audits.

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Learn Audit Selection Rules From Data: A Genetic Algorithms Approach, David P. Greene, Rayman D. Meservy, Stephen F. Smith Jan 1992

Learn Audit Selection Rules From Data: A Genetic Algorithms Approach, David P. Greene, Rayman D. Meservy, Stephen F. Smith

Faculty Publications

The construction of expert systems typically require the availability of expertise that can be modeled. However, there are many important problems where no expertise exists, yet there is a wealth of data indicating results in different situations. Machine learning algorithms attempt to discover rules which capture the regularities that exists in such data.

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Case-Based Reasoning And Risk Assessment In Audit Judgment, Eric L. Denna, James V. Hansen, Rayman D. Meservy, Larry E. Wood Sep 1991

Case-Based Reasoning And Risk Assessment In Audit Judgment, Eric L. Denna, James V. Hansen, Rayman D. Meservy, Larry E. Wood

Faculty Publications

The purpose of this paper is to describe the results of an effort to utilize Case Based Reasoning (CBR) to model a specific audit judgment task. To date most efforts to develop computational models of audit judgment have used strictly rule-based representation methods. Some researchers have recently adopted more robust structures to model the auditor domain knowledge. Although these recent efforts to extend the representation methods appear to be more accurate descriptions of auditor reasoning and memory, they still lack a comprehensive. theory to guide the development of the model. A commonly encountered phenomenon in audit judgment is for an …

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Investigating Expertise In Auditing, Paul E. Johnson, Andrew D. Bailey Jr, Rayman D. Meservy Oct 1986

Investigating Expertise In Auditing, Paul E. Johnson, Andrew D. Bailey Jr, Rayman D. Meservy

Faculty Publications

Research on human expertise in auditing contexts is an important area of study. Our objective in this paper is to present an approach to conducting research on human expertise. We begin with some issues of terminology and then propose a strategy for inquiry into the phenomena of expertise. Finally, we attempt to illustrate this strategy with three examples of recently completed work. The examples include: two from the auditing literature that involve the analysis of internal control and a medical diagnosis case which illustrates the "garden path" problem that is of concern in any decision making context, including auditing.

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Auditing, Artificial Intelligence And Expert Systems, Andrew D. Bailey, Rayman D. Meservy, Gordon L. Duke, Paul E. Johnson, William Thompson Jan 1986

Auditing, Artificial Intelligence And Expert Systems, Andrew D. Bailey, Rayman D. Meservy, Gordon L. Duke, Paul E. Johnson, William Thompson

Faculty Publications

This paper will provide the reader with an introduction to the field of financial auditing and the applicability of Decision Support Systems (DSS), Artificial Intelligence (AI), and Expert Systems (ES) to that field of endeavor. The paper will also discuss a continuing research project concerning the application of DSS/AI/ES techniques to the evaluation of internal accounting controls. The reader will find that the evaluation of internal accounting controls is a critical step in every financial audit and that it is an area in which the auditor exhibits substantial expertise. It is thus an area of work particularly suited to the …

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Kass: A Knowledge-Based Auditor Support System, Ramayya Krishnan, Rayman D. Meservy, Vandana Gadh Jan 1986

Kass: A Knowledge-Based Auditor Support System, Ramayya Krishnan, Rayman D. Meservy, Vandana Gadh

Faculty Publications

This paper describes the design of a knowledge-based system to assist auditors in the evaluatation of internal accounting controls and focusses on the logic-based language AL that has been developed as a knowledge representation formalism. Interesting features of AL include a declarative approach to modeling accounting systems and the means to explicitly describe authority structures typically used to enforce internal controls.

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Internal Control Evaluation: A Computational Model Of The Review Process, Rayman D. Meservy, Andrew D. Bailey Jr, Paul E. Johnson Jan 1986

Internal Control Evaluation: A Computational Model Of The Review Process, Rayman D. Meservy, Andrew D. Bailey Jr, Paul E. Johnson

Faculty Publications

This study investigated the strategies by which experienced auditors evaluate systems of internal accounting controls. The research method included: (1) observations, using concurrent protocols, of a small sample of practicing auditors performing the internal control evaluation task; (2) extensive interviews with one of the practicing auditors; (3) formalization of auditor processes as a computational model; and (4) validation of the model. The simulation model was Im· plemented as an expert system and tuned to one auditor. The model output consists of a trace of the model processing including: (1) rec• ommendatlons for specific controls to be compliance tested; and (2) …

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A Mathematical Contraction And Automated Analysis Of Internal Controls, Andrew D. Bailey Jr, Gordon Leon Duke, James Gerlach, Chen-En Ko, Rayman D. Meservy, Andrew B. Whinton Nov 1982

A Mathematical Contraction And Automated Analysis Of Internal Controls, Andrew D. Bailey Jr, Gordon Leon Duke, James Gerlach, Chen-En Ko, Rayman D. Meservy, Andrew B. Whinton

Faculty Publications

This paper presents a precedent oriented computer assisted method of designing, analyzing and evaluating systems of internal controls. The ..!..nternal Control _!iodel, TICOM III, is fundamentally a design and analysis tool useful in the context of Automated Office Information Systems (AOIS's). Traditional analysis and evaluation tools, such as flowcharting, written narratives and questionnaires, are inefficient, if not insufficient, to support the design and control analysis of these new systems. The advantages of TICOM III over traditional methods such as narrative description, questionnaires and flowcharts are: (1) the evaluation can be more rigorous and exhaustive because of the speed, accuracy and …

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