01771nas a2200169 4500008004100000245008700041210006900128260004200197520122100239653001501460653000801475100002001483700002101503700001901524700001701543856004101560 2022 eng d00aDo Measures of Security Compliance Intent Equal Non-Compliance Scenario Agreement?0 aDo Measures of Security Compliance Intent Equal NonCompliance Sc aCopenhagen, Denmark, Dec. 2022c20223 aTo better protect organizations from the threat of insiders, IS security (ISS) research frequently emphasizes IS Security Policy (ISP) behavior. The effectiveness of an assessment model is typically analyzed either using short survey statements (behavior survey) or by using scenario agreement (prospective scenario) to measure current and prospective compliance (or non-compliance) behavior. However, a significant gap is the lack of statistical evidence to demonstrate that these two measures or dependent variables (DV) sufficiently agree with one another. We report on an effort to compare and contrast two assessment models which employed alternate styles of DVs and demonstrate that the primary construct from two different ISS behavioral theories had approximately the same effect size on either of the DVs. Our findings add support for substantial (but not overly correlated) synchronization between the two DV values, since we also observe that the prospective scenario non-compliance measure resulted in lower model fit while the behavior survey compliance measures fit both models with higher accuracy. We discuss our findings and recommend that for many studies there can be value in employing both DVs.10aAccounting10aBIS1 aMarshall, Byron1 aShadbad, Forough1 aCurry, Michael1 aBiros, David uhttps://aisel.aisnet.org/wisp2022/1901859nas a2200169 4500008004100000245008700041210006900128260004200197520122100239653001501460653000801475100002001483700002101503700001901524700001701543856012901560 2022 eng d00aDo Measures of Security Compliance Intent Equal Non-Compliance Scenario Agreement?0 aDo Measures of Security Compliance Intent Equal NonCompliance Sc aCopenhagen, Denmark, Dec. 2022c20223 aTo better protect organizations from the threat of insiders, IS security (ISS) research frequently emphasizes IS Security Policy (ISP) behavior. The effectiveness of an assessment model is typically analyzed either using short survey statements (behavior survey) or by using scenario agreement (prospective scenario) to measure current and prospective compliance (or non-compliance) behavior. However, a significant gap is the lack of statistical evidence to demonstrate that these two measures or dependent variables (DV) sufficiently agree with one another. We report on an effort to compare and contrast two assessment models which employed alternate styles of DVs and demonstrate that the primary construct from two different ISS behavioral theories had approximately the same effect size on either of the DVs. Our findings add support for substantial (but not overly correlated) synchronization between the two DV values, since we also observe that the prospective scenario non-compliance measure resulted in lower model fit while the behavior survey compliance measures fit both models with higher accuracy. We discuss our findings and recommend that for many studies there can be value in employing both DVs.10aAccounting10aBIS1 aMarshall, Byron1 aShadbad, Forough1 aCurry, Michael1 aBiros, David uhttps://stage.business.oregonstate.edu/biblio/do-measures-security-compliance-intent-equal-non-compliance-scenario-agreement00845nas a2200169 4500008004100000245009300041210006900134260004200203520019900245653001500444653000800459100001900467700002000486700002100506700001900527856012900546 2022 eng d00aWill SOC Telemetry Data Improve Predictive Models of User Riskiness? A Work in Progress0 aWill SOC Telemetry Data Improve Predictive Models of User Riskin aCopenhagen, Denmark, Dec. 2022c20223 aThis extended abstract describes our planned efforts to usefully integrate psychometric and telemetry data to help identify cybersecurity risks and more effectively analyze cybersecurity events.10aAccounting10aBIS1 aCurry, Michael1 aMarshall, Byron1 aShadbad, Forough1 aHong, Sanghyun uhttps://stage.business.oregonstate.edu/biblio/will-soc-telemetry-data-improve-predictive-models-user-riskiness-work-progress00574nas a2200157 4500008004100000245007500041210006900116260000900185653001500194653000800209100002000217700001900237700001800256700002400274856011800298 2021 eng d00aMachine Learning and Survey-based Predictors of InfoSec Non-Compliance0 aMachine Learning and Surveybased Predictors of InfoSec NonCompli c202110aAccounting10aBIS1 aMarshall, Byron1 aCurry, Michael1 aCorreia, John1 aCrossler, Robert, E uhttps://stage.business.oregonstate.edu/biblio/machine-learning-and-survey-based-predictors-infosec-non-compliance02603nas a2200193 4500008004100000245007500041210006900116260000900185300000900194490000700203520197500210653001502185653000802200100002002208700001902228700001802247700002402265856012002289 2021 eng d00aMachine Learning and Survey-based Predictors of InfoSec Non-Compliance0 aMachine Learning and Surveybased Predictors of InfoSec NonCompli c2021 a1-200 v133 aSurvey items developed in behavioral Information Security (InfoSec) research should be practically useful in identifying individuals who are likely to create risk by failing to comply with InfoSec guidance. The literature shows that attitudes, beliefs, and perceptions drive compliance behavior and has influenced the creation of a multitude of training programs focused on improving ones’ InfoSec behaviors. While automated controls and directly observable technical indicators are generally preferred by InfoSec practitioners, difficult-to-monitor user actions can still compromise the effectiveness of automatic controls. For example, despite prohibition, doubtful or skeptical employees often increase organizational risk by using the same password to authenticate corporate and external services. Analysis of network traffic or device configurations is unlikely to provide evidence of these vulnerabilities but responses to well-designed surveys might. Guided by the relatively new IPAM model, this study administered 96 survey items from the Behavioral InfoSec literature, across three separate points in time, to 217 respondents. Using systematic feature selection techniques, manageable subsets of 29, 20, and 15 items were identified and tested as predictors of non-compliance with security policy. The feature selection process validates IPAM's innovation in using nuanced self-efficacy and planning items across multiple time frames. Prediction models were trained using several ML algorithms. Practically useful levels of prediction accuracy were achieved with, for example, ensemble tree models identifying 69% of the riskiest individuals within the top 25% of the sample. The findings indicate the usefulness of psychometric items from the behavioral InfoSec in guiding training programs and other cybersecurity control activities and demonstrate that they are promising as additional inputs to AI models that monitor networks for security events.10aAccounting10aBIS1 aMarshall, Byron1 aCurry, Michael1 aCorreia, John1 aCrossler, Robert, E uhttps://stage.business.oregonstate.edu/biblio/machine-learning-and-survey-based-predictors-infosec-non-compliance-001598nas a2200157 4500008004100000245013000041210006900171260000900240520106500249653001501314653000801329100001901337700002001356700002401376856004001400 2019 eng d00aIdentifying potentially risky insider on-compliance using machine learning to assess multiple protection motivation behaviors0 aIdentifying potentially risky insider oncompliance using machine c20193 aCybersecurity researchers have made significant steps to understand the mechanisms of security policy compliance and unify theories of security behavior. However, due partly to the limitations of traditional variance model statistical methods, these studies by necessity typically focus on a single security policy issue. By contrast, new machine learning algorithms frequently employed by data scientists offer great promise as a new statistical approach for examining robust individualized interpretations of policy and can also identify potentially risky behaviors. This study proposes to explore cybersecurity training impediments of multiple protection motivation behaviors in ransomware prevention training. It demonstrates the feasibility of using machine learning with survey items from the cybersecurity research to predict non-compliance. It also illustrates a potentially novel method to statistically validate research theory through higher levels of ML prediction. This study is a work in progress and we seek feedback on its design and relevance.10aAccounting10aBIS1 aCurry, Michael1 aMarshall, Byron1 aCrossler, Robert, E uhttps://aisel.aisnet.org/wisp2019/101681nas a2200193 4500008004100000245008400041210006900125260000900194300001200203490000700215520112200222653001501344653000801359100001901367700002001386700001801406700002401424856003901448 2019 eng d00aInfoSec Process Action Model (IPAM): Targeting Insider's Weak Password Behavior0 aInfoSec Process Action Model IPAM Targeting Insiders Weak Passwo c2019 a201-2250 v333 aThe possibility of noncompliant behavior is a challenge for cybersecurity professionals and their auditors as they try to estimate residual control risk. Building on the recently proposed InfoSec Process Action Model (IPAM), this work explores how nontechnical assessments and interventions can indicate and reduce the likelihood of risky individual behavior. The multi-stage approach seeks to bridge the well-known gap between intent and action. In a strong password creation experiment involving 229 participants, IPAM constructs resulted in a marked increase in R2 for initiating compliance behavior with control expectations from 47 percent to 60 percent. Importantly, the model constructs offer measurable indications despite practical limitations on organizations' ability to assess problematic individual password behavior. A threefold increase in one measure of strong password behavior suggested the process positively impacted individual cybersecurity behavior. The results suggest that the process-nuanced IPAM approach is promising both for assessing and impacting security compliance behavior.10aAccounting10aBIS1 aCurry, Michael1 aMarshall, Byron1 aCorreia, John1 aCrossler, Robert, E uhttps://doi.org/10.2308/isys-5238101824nas a2200169 4500008004100000245005500041210005500096260000900151520135500160653001501515653000801530100001901538700002001557700001801577700001801595856004101613 2018 eng d00aFear Appeals Versus Priming in Ransomware Training0 aFear Appeals Versus Priming in Ransomware Training c20183 aEmployee non-compliance is at the heart of many of today’s security incidents. Training programs often employ fear appeals to motivate individuals to follow policy and take action to reduce security risks. While the literature shows that fear appeals drive intent to comply, there is much less evidence of their impact after intention is formed. Building on IPAM – a process nuanced model for compliance training and assessment – this study contrasts the impact of fear appeals vs. self-efficacy priming on ransomware training. In our proposed study, a pool of students will participate in a three-step series of training events. Some participants will encounter enhanced fear appeals at each step while others will be presented with materials that include
priming signals intended to foster development of increased self-efficacy. Previously identified
drivers of behavior (intent, processed-nuanced forms of self-efficacy, and outcome expectations)
are measured so that the effect of the treatments can be contrasted. A scenario agreement
methodology is used to indicate behavior as a dependent variable. We expect to show that while
fear appeals are useful and help build intent to comply at the motivational stage, process-nuanced
self-efficacy treatments are expected have a stronger effect on behavior post-intentional.10aAccounting10aBIS1 aCurry, Michael1 aMarshall, Byron1 aCrossler, Rob1 aCorreia, John uhttps://aisel.aisnet.org/wisp2018/1/02095nas a2200181 4500008004100000245009600041210006900137260000900206490000700215520144300222653001501665653000801680100001901688700002001707700002401727700001801751856014401769 2018 eng d00aInfoSec Process Action Model (IPAM): Systematically Addressing Individual Security Behavior0 aInfoSec Process Action Model IPAM Systematically Addressing Indi c20180 v493 aWhile much of the extant InfoSec research relies on single assessment models that predict intent to act, this article proposes a multi-stage InfoSec Process Action Model (IPAM) that can positively change individual InfoSec behavior. We believe that this model will allow InfoSec researchers to focus more directly on the process which leads to action and develop better interventions that address problematic security behaviors. Building on successful healthcare efforts which resulted in smoking cessation, regular exercise and a healthier diet, among others, IPAM is a hybrid, predictive, process approach to behavioral InfoSec improvement. IPAM formulates the motivational antecedents of intent as separate from the volitional drivers of behavior. Singular fear appeals often seen in InfoSec research are replaced by more nuanced treatments appropriately differentiated to support behavioral change as part of a process; phase-appropriate measures of self-efficacy are employed to more usefully assess the likelihood that a participant will act on good intentions; and decisional balance –assessment of pro and con perceptions – is monitored over time. These notions better align InfoSec research to both leading security practice and to successful comparators in healthcare. We believe IPAM can both help InfoSec research models better explain actual behavior and better inform practical security-behavior improvement initiatives.10aAccounting10aBIS1 aCurry, Michael1 aMarshall, Byron1 aCrossler, Robert, E1 aCorreia, John uhttps://www.researchgate.net/publication/321138048_InfoSec_Process_Action_Model_IPAM_Systematically_Addressing_Individual_Security_Behavior01991nas a2200169 4500008004100000245005700041210005500098260000900153490000700162520151400169653001501683653000801698100001901706700002001725700001901745856005701764 2017 eng d00aA Normative Model for Assessing SME IT Effectiveness0 aNormative Model for Assessing SME IT Effectiveness c20170 v153 aInformation technology (IT) is a key enabler of modern small businesses, yet fostering reliably
effective IT systems remains a significant challenge. This paper presents a light weight IT
effectiveness model for small businesses to assess their IT and formulate strategies for
improvement. Employing an action research approach we investigate a mixed method analysis of
120 survey responses from small family businesses and user participation in 10 semi-structured
interviews. We then conduct critical reflection to identify refinements which are validated using
72 survey responses from university students. The results present compelling evidence that
employees’ normative patterns (norms) are a significant driver of IT effectiveness in a second
order PLS predictive model able to explain 26% of observed variance.
A norms-based approach to IT effectiveness helps fill a significant research and managerial gap
for organizations unable or unwilling to adopt IT best practice frameworks used by large
organizations. Our findings imply that comparing norms to IT best practices may offer a less
technical approach to assessing IT operations, which may be well suited to small businesses.
Although further investigation cycles are needed to systematically test this model, we encourage
small business managers to: 1) anticipate IT risks and mitigate them; 2) identify measures of IT
performance, and monitor them, and 3) review/synchronize business and IT goals.10aAccounting10aBIS1 aCurry, Michael1 aMarshall, Byron1 aKawalek, Peter uhttp://scholarworks.lib.csusb.edu/ciima/vol15/iss1/300515nas a2200157 4500008004100000245006700041210006700108260000900175653001500184653000800199100002000207700001900227700001800246700001800264856007500282 2017 eng d00aPersonal Motivation Measures for Personal IT Security Behavior0 aPersonal Motivation Measures for Personal IT Security Behavior c201710aAccounting10aBIS1 aMarshall, Byron1 aCurry, Michael1 aCorreia, John1 aCrossler, Rob uhttp://aisel.aisnet.org/amcis2017/InformationSystems/Presentations/27/01759nas a2200193 4500008004100000245005900041210005700100260000900157300000700166520123900173653001501412653000801427100001901435700002001454700001501474700002201489700001701511856003701528 2016 eng d00aBA302: Microsoft Dynamics NAV ERP Exercise/Walkthrough0 aBA302 Microsoft Dynamics NAV ERP ExerciseWalkthrough c2016 a253 aWhether you enter the workforce as a sales manager, financial accountant or office admin, chances are that you will be working with some type of Enterprise Resource Planning (ERP) system. The purpose of this exercise/walkthrough is to familiarize you with a typical business process as it is commonly executed with the help of one of the leading ERP systems in the market today – Microsoft Dynamics NAV. This exercise will walk you through the six steps of a typical sales process: 1) Creating a customer order; 2) Backordering an out-of-stock item; 3) Receiving the backordered item; 4) Shipping the customer the ordered items and invoicing the customer; 5) Receiving payment from the customer; 6) Making a payment to the vendor from whom we backordered. As you make your way through this exercise, you should realize that in a real company this process would be executed by different people working in different departments. They all will interact with the ERP; i.e., they all retrieve information from the ERP and store new information in it, as the sales process progresses. In this exercise you take on the role of each of these people, giving you a sense of how the sales order is processed both by the company and by the ERP.10aAccounting10aBIS1 aCurry, Michael1 aMarshall, Byron1 aRaja, V.T.1 aReitsma, Reindert1 aWydner, Kirk uhttp://hdl.handle.net/1957/5985800507nas a2200145 4500008004100000245006400041210006400105260000900169653001500178653000800193100001900201700002000220700001800240856010300258 2016 eng d00aHope for change in individual security behavior assessments0 aHope for change in individual security behavior assessments c201610aAccounting10aBIS1 aCurry, Michael1 aMarshall, Byron1 aCrossler, Rob uhttps://stage.business.oregonstate.edu/biblio/hope-change-individual-security-behavior-assessments00524nas a2200121 4500008004100000245009300041210006900134260002600203653001500229653000800244100002000252856013000272 2016 eng d00a(See proceeding paper above) Hope for change in individual security behavior assessments0 aSee proceeding paper above Hope for change in individual securit aDublin, Irelandc201610aAccounting10aBIS1 aMarshall, Byron uhttps://stage.business.oregonstate.edu/biblio/see-proceeding-paper-above-hope-change-individual-security-behavior-assessments01395nas a2200157 4500008004100000245006400041210006200105260000900167520087100176653001501047653000801062100002001070700002201090700002101112856010401133 2016 eng d00aUnraveling K-12 Standard Alignment; Report on a New Attempt0 aUnraveling K12 Standard Alignment Report on a New Attempt c20163 aWe present the results of an experiment which indicates that automated alignment of electronic learning objects to educational standards may be more feasible than previously implied. We highlight some important deficiencies in existing alignment systems and formulate suggestions for improved future ones. We consider how the changing substance of newer educational standards, a multi-faceted view of standard alignment, and a more nuanced view of the ‘alignment’ concept may bring the long-sought goal of automated standard alignment closer. We explore how lexical similarity of documents, a World+Method representation of semantics, and network-based analysis can yield promising results. We furthermore investigate the nature of false positives to better understand how validity of match is evaluated so as to better focus future alignment system development.10aAccounting10aBIS1 aMarshall, Byron1 aReitsma, Reindert1 aSamson, Carleigh uhttps://stage.business.oregonstate.edu/biblio/unraveling-k-12-standard-alignment-report-new-attempt00620nas a2200133 4500008004100000245016100041210006900202260000900271653001500280653000800295100001900303700002000322856014400342 2015 eng d00aAffordance Perception in Risk Adverse IT Adoption: An Agenda to Identify Drivers of Risk Consideration and Control Adoption in Individual Technology Choices0 aAffordance Perception in Risk Adverse IT Adoption An Agenda to I c201510aAccounting10aBIS1 aCurry, Michael1 aMarshall, Byron uhttps://stage.business.oregonstate.edu/biblio/affordance-perception-risk-adverse-it-adoption-agenda-identify-drivers-risk-consideration-and01537nas a2200181 4500008004100000245007500041210006900116260000900185300001000194490000700204520094600211653001501157653000801172100001901180700002001199700001901219856011701238 2015 eng d00aImproving IT Assessment with IT Artifact Affordance Perception Priming0 aImproving IT Assessment with IT Artifact Affordance Perception P c2015 a17-280 v193 aAccurately assessing organizational information technology (IT) is important for accounting professionals, but also difficult. Both auditors and the professionals from whom they gather data are expected to make nuanced judgments regarding the adequacy and effectiveness of controls that protect key systems. IT artifacts (policies, procedures, and systems) are assessed in an audit because they “afford” relevant action possibilities but perception preferences shade the results of even systematic and well-tested assessment tools. This study of 246 business students makes two important contributions. First we demonstrate that a tendency to focus on either artifact or organizational imperative systematically reduces the power of well-regarded IT measurements. Second, we demonstrate that priming is an effective intervention strategy to increase the predictive power of constructs from the familiar technology acceptance model (TAM).10aAccounting10aBIS1 aCurry, Michael1 aMarshall, Byron1 aKawalek, Peter uhttp://people.oregonstate.edu/~marshaby/Papers/IJAIS%20-%20IT%20Artifact%20Affordance%20Perception%20Priming.pdf00538nas a2200169 4500008004100000245005500041210005400096260000900150653001500159653000800174653002300182100001500205700001500220700001300235700002000248856010000268 2015 eng d00aWeather Factors and Online Product/Service Reviews0 aWeather Factors and Online ProductService Reviews c201510aAccounting10aBIS10aBusiness Analytics1 aFeng, Jiao1 aYao, Zhong1 aZhu, Bin1 aMarshall, Byron uhttps://stage.business.oregonstate.edu/biblio/weather-factors-and-online-productservice-reviews01587nas a2200181 4500008004100000245010400041210006900145260000900214300001200223490000700235520102800242653001501270653000801285100001901293700002001312700001901332856005401351 2014 eng d00aIT Artifact Bias: How exogenous predilections influence organizational information system paradigms0 aIT Artifact Bias How exogenous predilections influence organizat c2014 a427-4360 v343 aEfforts in IS research have long sought to bridge the gap between the information technology (IT) function and strategic business interests. Efforts in IS research have long sought to bridge the gap between the information technology (IT) function and the strategic business interests. People perceive affordances (possibilities for action) in information technology artifacts differently as cognitive structures (schema) which bias individual focus. This study explores how an individual’s tendency to perceive the ‘trees’ in an IT ‘forest’ (artifact preference), affects their assessment of efforts to achieve more effective IT outcomes. The effect is demonstrated using a relatively simple IT success model. Further, in a sample of 120 survey responses supported by ten semi-structured interviews we demonstrate that job role and organizational IT complexity systematically impact artifact perception. A better understanding of IT artifact bias promises to help organizations better assess information systems.10aAccounting10aBIS1 aCurry, Michael1 aMarshall, Byron1 aKawalek, Peter uhttp://dx.doi.org/10.1016/j.ijinfomgt.2014.02.00500523nas a2200145 4500008004100000245006900041210006500110260001900175653001500194653000800209100002000217700001900237700001900256856010200275 2014 eng d00aThe Moderating Power of IT Bias on User Acceptance of Technology0 aModerating Power of IT Bias on User Acceptance of Technology aAucklandc201410aAccounting10aBIS1 aMarshall, Byron1 aCurry, Michael1 aKawalek, Peter uhttps://stage.business.oregonstate.edu/biblio/moderating-power-it-bias-user-acceptance-technology01920nas a2200181 4500008004100000245012400041210006900165260000900234300001400243490000700257520128200264653001501546653000801561100002201569700002001591700001801611856010901629 2012 eng d00aCan Intermediary-based Science Standards Crosswalking Work? Some Evidence from Mining the Standard Alignment Tool (SAT)0 aCan Intermediarybased Science Standards Crosswalking Work Some E c2012 a1843-18580 v633 aWe explore the feasibility of intermediary-based crosswalking and alignment of K-12 science education standards. With increasing availability of K-12 science, technology, engineering and mathematics (STEM) digital library content, alignment of that content with educational standards is a significant and continuous challenge. Whereas direct, one-to-one alignment of standards is preferable but currently unsustainable in its resource demands, less resource-intensive intermediary-based alignment offers an interesting alternative. But will it work? We present the results from an experiment in which the machine-based Standard Alignment Tool (SAT) —incorporated in the National Science Digital Library (NSDL)— was used to collect over half a million direct alignments between standards from different standard-authoring bodies. These were then used to compute intermediary-based alignments derived from the well-known AAAS Project 2061 Benchmarks and NSES standards. Results show strong variation among authoring bodies in their success to crosswalk with best results for those who modeled their standards on the intermediaries. Results furthermore show a strong inverse relationship between recall and precision when both intermediates where involved in the crosswalking.10aAccounting10aBIS1 aReitsma, Reindert1 aMarshall, Byron1 aChart, Trevor uhttp://people.oregonstate.edu/~marshaby/Papers/ReitsmaMarshallChart_StandardsCrosswalking_JASIST2012.pdf00417nas a2200133 4500008004100000245003500041210003500076260002700111653001500138653000800153100001900161700002000180856008300200 2012 eng d00aDisentangling IT Artifact Bias0 aDisentangling IT Artifact Bias aOrlando, Floridac201210aAccounting10aBIS1 aCurry, Michael1 aMarshall, Byron uhttps://stage.business.oregonstate.edu/biblio/disentangling-it-artifact-bias-000561nas a2200145 4500008004100000245008000041210006900121260002700190653001500217653000800232653002300240100001300263700002000276856011900296 2012 eng d00aIs It You or the Message: Why Do People Pass Along Micro-Blogging Messages?0 aIt You or the Message Why Do People Pass Along MicroBlogging Mes aOrlando, Floridac201210aAccounting10aBIS10aBusiness Analytics1 aZhu, Bin1 aMarshall, Byron uhttps://stage.business.oregonstate.edu/biblio/it-you-or-message-why-do-people-pass-along-micro-blogging-messages-001804nas a2200169 4500008004100000245006300041210006300104260000900167490000700176520125500183653001501438653000801453100002001461700001901481700002201500856011201522 2011 eng d00aOrganizational Information Technology Norms and IT Quality0 aOrganizational Information Technology Norms and IT Quality c20110 v113 aThe effectiveness of IT governance initiatives in improving IT’s contribution to organizational success has been demonstrated but the mechanisms by which improved outcomes are realized have largely remained unexplored. Although IT governance tools such as COBIT and ITIL specify procedures and policies for the management of IT resources, the experts who developed those tools also embedded a set of core principles or ‘norms’ in the underlying frameworks. This article explores these norms and their role in the realization of organizational IT quality. Through analysis of normative messages implicitly expressed in the documentation elements provided by COBIT, we extract two norms (commitment to improvement and a risk/control perspective) thought to indicate that an organization has adopted the spirit of IT governance. Next, we model the relationship between adoption of these norms and IT quality and evaluate the model with data from a survey of 86 individuals who use, manage, and/or deliver organizational IT services. Principal component analysis is used to validate the survey items. Results show statistically significant relationships between norm adoption, participation in norm-driven activities, and organizational IT quality.10aAccounting10aBIS1 aMarshall, Byron1 aCurry, Michael1 aReitsma, Reindert uhttp://www.iima.org/index.php?option=com_phocadownload&view=category&id=60:2011-volume-11-issue-4&Itemid=6801713nas a2200145 4500008004100000245008200041210006900123260000900192520117300201653001501374653000801389100002001397700002201417856012801439 2011 eng d00aWorld vs. Method: Educational Standard Formulation Impacts Document Retrieval0 aWorld vs Method Educational Standard Formulation Impacts Documen c20113 aAlthough initiatives are underway in the educational community to consolidate disparate collections of educational standards, little has been done to explore the impact of educational standard formulation on information retrieval. Recent research contrasts two categories of educational standards: ‘World’ (topical domain-related concepts) and ‘Method’ (investigative and epistemological principles). This paper explores the information retrieval implications of the World vs. Method distinction. We find that experts are more likely to agree about which educational resources align with a Method standard but that a typical automatic standard assignment tool is more likely to assign a World standard to an educational resource. Further, a text-based information retrieval system is more likely to be accurate in retrieving documents relevant to a World standard as compared to a Method standard. These findings have implications both for educational standard formulation (combining World and Method components in a standard may improve retrieval) and for digital library builders who want to help teachers identify useful, standards-aligned learning objects.10aAccounting10aBIS1 aMarshall, Byron1 aReitsma, Reindert uhttps://stage.business.oregonstate.edu/biblio/world-vs-method-educational-standard-formulation-impacts-document-retrieval-002114nas a2200181 4500008004100000245008500041210006900126260000900195300001200204490000700216520152400223653001501747653000801762100002201770700002001792700002001812856010001832 2010 eng d00aAspects of 'Relevance' in the Alignment of Curriculum with Educational Standards0 aAspects of Relevance in the Alignment of Curriculum with Educati c2010 a362-3760 v463 aRetrieval of useful digitized learning objects is a key objective for educational digital libraries, but imprecise definitions of alignment hinder the development of effective retrieval mechanisms. With over 63,000 U.S. K-12 science and mathematics education standards and a rapid proliferation of Web-enabled curriculum, retrieving curriculum that aligns with the standards to which teachers must teach is increasingly important. Previous studies of such alignment use single-dimensional and binary measures of relevance. Perhaps as a consequence they suffer from low inter-rater reliability (IRR), with experts agreeing about alignments only some 20-40% of the time. We present the results of an experiment in which the dependent variable ‘alignment’ is operationalized using the Saracevic model of relevance in which; i.e., alignment is defined and measured through ‘clues’ from the everyday practice of K-12 teaching. Results show higher inter-rater reliability on all clues with significantly higher IRR on several specific alignment dimensions. In addition, a (linear) model of ‘overall alignment’ is derived and estimated. Both the structure and explanatory power of the model differ significantly between searching vs. assessment. These results illustrate the usefulness of clue-based relevance measures for information retrieval and have important consequences for both the formulation of automated retrieval mechanisms and the construction of a gold standard set of standard-curriculum alignments.10aAccounting10aBIS1 aReitsma, Reindert1 aMarshall, Byron1 aZarske, Malinda uhttp://www.sciencedirect.com/science/article/B6VC8-4XF7Y02-1/2/3fd5e4257f3d904d5929eeff2185c67801850nas a2200157 4500008004100000245005200041210005100093260000900144520135600153653001501509653000801524100002001532700001901552700002201571856009901593 2010 eng d00aDoes Using CobiT Improve IT Solution Proposals?0 aDoes Using CobiT Improve IT Solution Proposals c20103 aThe CobiT (Control Objectives for Information and related Technology) framework is designed to help organizations implement IT governance practices by systematically shaping identifiable IT processes to better leverage IT expenditures. The control structure advocated in CobiT embodies governance notions including business alignment, a risk/control perspective, systematic measurement, accountability, and continuous improvement. Despite the rise of internal control regulation, not all organizations have implemented systematic IT controls and many, notably small, organizations may never do so. This study explores whether exposing decision makers to CobiT positively affects the IT solutions they generate. We present a framework (drawn primarily from the structure of CobiT) for identifying normatively better IT plans as measured by application of governance principles. We report on 115 IT solution proposals created by business students. The proposals developed using CobiT more frequently took a risk/control approach, addressed the need for continuous improvement, referred to general IT processes, identified the people who should implement a solution, and proposed more measures of success. Thus, exposing decision makers to a systematic IT governance framework promises to help them generate more comprehensive solutions to IT challenges.10aAccounting10aBIS1 aMarshall, Byron1 aCurry, Michael1 aReitsma, Reindert uhttps://stage.business.oregonstate.edu/biblio/does-using-cobit-improve-it-solution-proposals-001601nas a2200157 4500008004100000245003900041210003900080260004900119520110400168653001501272653000801287100002001295700001901315700002201334856008701356 2010 eng d00aIT Governance Norms and IT Success0 aIT Governance Norms and IT Success aDecember 2010, Saint Louis, MO, U.S.A.c20103 aThe checklists included in well-known IT governance frameworks may be a good fit for
large organizations that face regulatory pressure and a need for large-scale coordination
but may be less appropriate for smaller organizations. Core IT governance principles
embedded in the structure of CobiT, ITIL, and ISO2000 can be expressed as a set of IT
governance norms including business alignment, a risk/control perspective, systematic
measurement, accountability, and continuous improvement. In this study, we model IT
effectiveness and willingness to comply with best practices as effects of adopting these
norms. We propose a set of survey items tailored to help assess the constructs in this
model then partially validate them using principal components analysis. Survey
responses (n=86) reveal a significant connection between evidence of norm adoption in
organizations and IT success. This norms-based paradigm may be useful in bringing
some of the benefits of IT governance to the smaller organizations that are thought to
drive economic growth and employment.10aAccounting10aBIS1 aMarshall, Byron1 aCurry, Michael1 aReitsma, Reindert uhttps://stage.business.oregonstate.edu/biblio/it-governance-norms-and-it-success-001453nas a2200193 4500008004100000245008700041210006900128260000900197300001000206490000700216520088000223653001501103653000801118100002001126700002401146700001601170700001701186856005601203 2010 eng d00aVisualizing Basic Accounting Flows: Does XBRL + Model + Animation = Understanding?0 aVisualizing Basic Accounting Flows Does XBRL Model Animation Und c2010 a27-540 v103 aThe usefulness of XBRL (eXtensible Business Reporting Language) in facilitating efficient data sharing is clear, but widespread use of XBRL also promises to support more effective analysis processes. This format should allow managers, investors, regulators, and students to aggregate, compare and analyze financial information. This study explores an XBRL-based visualization tool that maps the organization of financial statements captured in the XBRL formalism into a graphical representation that organizes, depicts, and animates financial data. We show that our tool integrates and presents profitability, liquidity, financing, and market value data in a manner recognizable to business students. Our findings suggest the promise of XBRL-based visualization tools both in helping students grasp basic accounting concepts and in facilitating financial analysis in general.10aAccounting10aBIS1 aMarshall, Byron1 aMortenson, Kristian1 aBourne, Amy1 aPrice, Kevin uhttp://www.uhu.es/ijdar/10.4192/1577-8517-v10_2.pdf00577nas a2200169 4500008004100000245006000041210006000101260002200161653001500183653000800198100002000206700002400226700001600250700001700266700002100283856010300304 2009 eng d00aDelivering Value Beyond Efficiency with Visualized XBRL0 aDelivering Value Beyond Efficiency with Visualized XBRL aPhoenix, AZc200910aAccounting10aBIS1 aMarshall, Byron1 aMortenson, Kristian1 aBourne, Amy1 aPrice, Kevin1 aMarshall, Andrew uhttps://stage.business.oregonstate.edu/biblio/delivering-value-beyond-efficiency-visualized-xbrl-100511nas a2200145 4500008004100000245011400041210006900155260000900224653001500233653000800248100002000256700002200276700002000298856004700318 2009 eng d00aDimensional Standard Alignment in K-12 Digital Libraries: Assessment of Self-found vs. Recommended Curriculum0 aDimensional Standard Alignment in K12 Digital Libraries Assessme c200910aAccounting10aBIS1 aMarshall, Byron1 aReitsma, Reindert1 aZarske, Malinda uhttp://doi.acm.org/10.1145/1555400.155540300443nas a2200133 4500008004100000245004500041210004300086260002300129653001500152653000800167100002200175700002000197856009200217 2009 eng d00aTeachEngineering: K-12 Teacher Use Study0 aTeachEngineering K12 Teacher Use Study aBoulder, CO.c200910aAccounting10aBIS1 aReitsma, Reindert1 aMarshall, Byron uhttps://stage.business.oregonstate.edu/biblio/teachengineering-k-12-teacher-use-study-002250nas a2200193 4500008004100000245009000041210006900131260000900200300001200209490000700221520168100228653001501909653000801924100002001932700001701952700002001969700001901989856004802008 2009 eng d00aTopological Analysis of Criminal Activity Networks: Enhancing Transportation Security0 aTopological Analysis of Criminal Activity Networks Enhancing Tra c2009 a83 - 910 v103 aThe security of border and transportation systems is a critical component of the national strategy for homeland security. The security concerns at the border are not independent of law enforcement in border-area jurisdictions because the information known by local law enforcement agencies may provide valuable leads that are useful for securing the border and transportation infrastructure. The combined analysis of law enforcement information and data generated by vehicle license plate readers at international borders can be used to identify suspicious vehicles and people at ports of entry. This not only generates better quality leads for border protection agents but may also serve to reduce wait times for commerce, vehicles, and people as they cross the border. This paper explores the use of criminal activity networks (CANs) to analyze information from law enforcement and other sources to provide value for transportation and border security. We analyze the topological characteristics of CAN of individuals and vehicles in a multiple jurisdiction scenario. The advantages of exploring the relationships of individuals and vehicles are shown. We find that large narcotic networks are small world with short average path lengths ranging from 4.5 to 8.5 and have scale-free degree distributions with power law exponents of 0.85–1.3. In addition, we find that utilizing information from multiple jurisdictions provides higher quality leads by reducing the average shortest-path lengths. The inclusion of vehicular relationships and border-crossing information generates more investigative leads that can aid in securing the border and transportation infrastructure.10aAccounting10aBIS1 aKaza, Siddharth1 aXu, Jennifer1 aMarshall, Byron1 aChen, Hsinchun uhttp://dx.doi.org/10.1109/TITS.2008.201169501884nas a2200181 4500008004100000245008700041210006900128260002300197520123400220653001501454653000801469100002001477700002401497700001601521700001701537700002101554856012701575 2009 eng d00aVisualizing basic accounting flows: does XBRL + model + animation = understanding?0 aVisualizing basic accounting flows does XBRL model animation und aNew York, NYc20093 aThe usefulness of XBRL (eXtensible Business Reporting Language) in facilitating efficient data sharing is clear, but widespread use of XBRL also promises to support more effective analysis processes. Representing traditional financial statements in this electronic and interoperable format should allow managers, investors, regulators, and importantly students to aggregate, compare and analyze financial information. Processing such data requires an understanding of the underlying paradigms embedded in consolidated sets of financial statements. This work explores the feasibility and effectiveness of an XBRL-based visualization tool, presenting an organizational framework, mapping that framework to financial statements and the XBRL formalism, and demonstrating a visual representation that organizes, depicts, and animates financial data. We show that our tool integrates and presents profitability, liquidity, financing, and market value data in a manner recognizable to business students in introductory financial accounting classes. This preliminary finding suggests the promise of XBRL-based visualization tools both in helping students grasp basic accounting concepts and in facilitating financial analysis in general.10aAccounting10aBIS1 aMarshall, Byron1 aMortenson, Kristian1 aBourne, Amy1 aPrice, Kevin1 aMarshall, Andrew uhttps://stage.business.oregonstate.edu/biblio/visualizing-basic-accounting-flows-does-xbrl-model-animation-understanding-402064nas a2200181 4500008004100000245008400041210006900125260000900194300001400203490000700217520147700224653001501701653000801716100002001724700001901744700002001763856009901783 2008 eng d00aUsing Importance Flooding to Identify Interesting Networks of Criminal Activity0 aUsing Importance Flooding to Identify Interesting Networks of Cr c2008 a2099-21140 v593 aCross-jurisdictional law enforcement data sharing and analysis is of vital importance because law breakers regularly operate in multiple jurisdictions. Agencies continue to invest massive resources in various sharing initiatives despite several high-profile failures. Key difficulties include: privacy concerns, administrative issues, differences in data representation, and a need for better analysis tools. This work presents a methodology for sharing and analyzing investigation-relevant data and is potentially useful across large cross-jurisdictional data sets. The approach promises to allow crime analysts to use their time more effectively when creating link charts and performing similar analysis tasks. Many potential privacy and security pitfalls are avoided by reducing shared data requirements to labeled relationships between entities. Our importance flooding algorithm helps extract interesting networks of relationships from existing law enforcement records using user-controlled investigation heuristics, spreading activation, and path-based interestingness rules. In our experiments, several variations of the importance flooding approach outperformed relationship-weight-only methods in matching expert-selected associations. We find that accuracy in not substantially affected by reasonable variations in algorithm parameters and demonstrate that user feedback and additional, case-specific information can be usefully added to the computational model.10aAccounting10aBIS1 aMarshall, Byron1 aChen, Hsinchun1 aKaza, Siddharth uhttp://people.oregonstate.edu/~marshaby/Papers/Marshall_JASIST_ImportanceFlooding_PrePrint.pdf01347nas a2200157 4500008004100000245005000041210004900091260002300140520084900163653001501012653000801027100002001035700002201055700001901077856009301096 2007 eng d00aSemantics or Standards for Curriculum Search?0 aSemantics or Standards for Curriculum Search aNew York, NYc20073 aAligning digital library resources with national and state educational standards to help K-12 teachers search for relevant curriculum is an important issue in the digital library community. Aligning standards from different states promises to help teachers in one state find appropriate materials created and cataloged elsewhere. Although such alignments provide a powerful means for crosswalking standards and curriculum across states, alignment matrices are intrinsically sparse. Hence, we hypothesize that such sparseness may cause significant numbers of false negatives when used for searching curriculum. Our preliminary results confirm the false negative hypothesis, demonstrate the usefulness of term-based techniques in addressing the false negative problem, and explore ways to combine term occurrence data with standards correlations.10aAccounting10aBIS1 aMarshall, Byron1 aReitsma, Reindert1 aCyr, Martha, N uhttps://stage.business.oregonstate.edu/biblio/semantics-or-standards-curriculum-search-002033nas a2200205 4500008004100000245011700041210006900158260000900227300001200236490000700248520135500255653001501610653000801625100002501633700001201658700002001670700001901690700001901709856009901728 2007 eng d00aUser-Centered Evaluation of Arizona BioPathway: An Information Extraction, Integration, and Visualization System0 aUserCentered Evaluation of Arizona BioPathway An Information Ext c2007 a527-5360 v113 aExplosive growth in biomedical research has made automated information extraction, knowledge integration, and visualization increasingly important and critically needed. The Arizona BioPathway (ABP) system extracts and displays biological regulatory pathway information from the abstracts of journal articles. This study uses relations extracted from more than 200 PubMed abstracts presented in a tabular and graphical user interface with built-in search and aggregation functionality. This article presents a task-centered assessment of the usefulness and usability of the ABP system focusing on its relation aggregation and visualization functionalities. Results suggest that our graph-based visualization is more efficient in supporting pathway analysis tasks and is perceived as more useful and easier to use as compared to a text-based literature viewing method. Relation aggregation significantly contributes to knowledge acquisition efficiency. Together, the graphic and tabular views in the ABP Visualizer provide a flexible and effective interface for pathway relation browsing and analysis. Our study contributes to pathway-related research and biological information extraction by assessing the value of a multi-view, relation-based interface which supports user-controlled exploration of pathway information across multiple granularities.10aAccounting10aBIS1 aQuiñones, Karin, D.1 aSu, Hua1 aMarshall, Byron1 aEggers, Shauna1 aChen, Hsinchun uhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=4300830&arnumber=4300844&count=17&index=501468nas a2200205 4500008004100000245006900041210006900110260000900179300001300188490000700201520086100208653001501069653000801084100002001092700001201112700002101124700001901145700001901164856007901183 2006 eng d00aAggregating Automatically Extracted Regulatory Pathway Relations0 aAggregating Automatically Extracted Regulatory Pathway Relations c2006 a100- 1080 v103 aAutomatic tools to extract information from biomedical texts are needed to help researchers leverage the vast and increasing body of biomedical literature. While several biomedical relation extraction systems have been created and tested, little work has been done to meaningfully organize the extracted relations. Organizational processes should consolidate multiple references to the same objects over various levels of granularity, connect those references to other resources, and capture contextual information. We propose a feature decomposition approach to relation aggregation to support a five-level aggregation framework. Our BioAggregate tagger uses this approach to identify key features in extracted relation name strings. We show encouraging feature assignment accuracy and report substantial consolidation in a network of extracted relations.10aAccounting10aBIS1 aMarshall, Byron1 aSu, Hua1 aMcDonald, Daniel1 aEggers, Shauna1 aChen, Hsinchun uhttp://people.oregonstate.edu/~marshaby/Papers/Marshall_IEEE_TITB_2005.pdf01362nas a2200181 4500008004100000245008600041210006900127260000900196300001400205490000700219520077400226653001501000653000801015100002001023700001901043700002401062856009401086 2006 eng d00aMatching Knowledge Elements in Concept Maps Using a Similarity Flooding Algorithm0 aMatching Knowledge Elements in Concept Maps Using a Similarity F c2006 a1290-13060 v423 aConcept mapping systems used in education and knowledge management emphasize flexibility of representation to enhance learning and facilitate knowledge capture. Collections of concept maps exhibit terminology variance, informality, and organizational variation. These factors make it difficult to match elements between maps in comparison, retrieval, and merging processes. In this work, we add an element anchoring mechanism to a similarity flooding (SF) algorithm to match nodes and substructures between pairs of simulated maps and student-drawn concept maps. Experimental results show significant improvement over simple string matching with combined recall accuracy of 91% for conceptual nodes and concept ¨ link ¨ concept propositions in student-drawn maps.10aAccounting10aBIS1 aMarshall, Byron1 aChen, Hsinchun1 aMadhusudan, Therani uhttp://people.oregonstate.edu/~marshaby/Papers/MatchKnowledgeElements_PrePrintVersion.pdf01741nas a2200181 4500008004100000245008600041210006900127260000900196490000600205520119200211653001501403653000801418100002001426700001901446700001401465700002001479856006001499 2006 eng d00aMoving Digital Libraries into the Student Learning Space: the GetSmart Experience0 aMoving Digital Libraries into the Student Learning Space the Get c20060 v63 aThe GetSmart system was built to support theoretically sound learning processes in a digital library environment by integrating course management, digital library, and concept mapping components to support a constructivist, six-step, information search process. In the fall of 2002 more than 100 students created 1400 concept maps as part of selected computing classes offered at the University of Arizona and Virginia Tech. Those students conducted searches, obtained course information, created concept maps, collaborated in acquiring knowledge, and presented their knowledge representations. This article connects the design elements of the GetSmart system to targeted concept-map-based learning processes, describes our system and research testbed, and analyzes our system usage logs. Results suggest that students did in fact use the tools in an integrated fashion, combining knowledge representation and search activities. After concept mapping was included in the curriculum, we observed improvement in students' online quiz scores. Further, we observed that students in groups collaboratively constructed concept maps with multiple group members viewing and updating map details.10aAccounting10aBIS1 aMarshall, Byron1 aChen, Hsinchun1 aShen, Rao1 aFox, Edward, A. uhttp://portal.acm.org/citation.cfm?doid=1217862.121786400487nas a2200133 4500008004100000245008400041210006900125260002400194653001500218653000800233100002000241700001900261856007300280 2006 eng d00aUsing Importance Flooding to Identify Interesting Networks of Criminal Activity0 aUsing Importance Flooding to Identify Interesting Networks of Cr aSan Diego, CAc200610aAccounting10aBIS1 aMarshall, Byron1 aChen, Hsinchun uhttp://people.oregonstate.edu/~marshaby/Papers/Marshall_ISI_2006.pdf01720nas a2200169 4500008004100000245010700041210006900148260000900217520116000226653001501386653000801401100002001409700001201429700001801441700001901459856007201478 2005 eng d00aLinking Ontological Resources Using Aggregatable Substance Identifiers to Organize Extracted Relations0 aLinking Ontological Resources Using Aggregatable Substance Ident c20053 aSystems that extract biological regulatory pathway relations from free-text sources are
intended to help researchers leverage vast and growing collections of research literature.
Several systems to extract such relations have been developed but little work has focused on
how those relations can be usefully organized (aggregated) to support visualization systems or
analysis algorithms. Ontological resources that enumerate name strings for different types of
biomedical objects should play a key role in the organization process. In this paper we
delineate five potentially useful levels of relational granularity and propose the use of
aggregatable substance identifiers to help reduce lexical ambiguity. An aggregatable
substance identifier applies to a gene and its products. We merged 4 extensive lexicons and
compared the extracted strings to the text of five million MEDLINE abstracts. We report on
the ambiguity within and between name strings and common English words. Our results show
an 89% reduction in ambiguity for the extracted human substance name strings when using an
aggregatable substance approach.10aAccounting10aBIS1 aMarshall, Byron1 aSu, Hua1 aMcDonald, Dan1 aChen, Hsinchun uhttp://people.oregonstate.edu/~marshaby/Papers/marshall_PSB2005.pdf01188nas a2200181 4500008004100000245005600041210005600097260000900153520064400162653001500806653000800821100002000829700002100849700001200870700001900882700001900901856008600920 2005 eng d00aVisualizing Aggregated Biological Pathway Relations0 aVisualizing Aggregated Biological Pathway Relations c20053 aThe Genescene development team has constructed an aggregation interface for automatically-extracted biomedical pathway
relations that is intended to help researchers identify and process relevant information from the vast digital library of abstracts found in the National Library of Medicine’s PubMed collection.
Users view extracted relations at various levels of relational granularity in an interactive and visual node-link interface. Anecdotal feedback reported here suggests that this multigranular visual paradigm aligns well with various research tasks,
helping users find relevant articles and discover new information.10aAccounting10aBIS1 aMarshall, Byron1 aQuiñones, Karin1 aSu, Hua1 aEggers, Shauna1 aChen, Hsinchun uhttp://people.oregonstate.edu/~marshaby/Papers/Marshall_JCDL_2005_Aggregation.pdf01636nas a2200181 4500008004100000245006700041210006400108260000900172300001100181490000700192520109700199653001501296653000801311100002401319700001501343700002001358856007601378 2004 eng d00aA Case-based Reasoning Framework for Workflow Model Management0 aCasebased Reasoning Framework for Workflow Model Management c2004 a87-1150 v503 aIn order to support efficient workflow design, recent commercial workflow systems are providing templates of common business processes. These templates, called cases, can be modified individually or collectively into a new workflow to meet the business specification. However, little research has been done on how to manage workflow models, including issues such as model storage, model retrieval, model reuse and assembly. In this paper, we propose a novel framework to support workflow modeling and design by adapting workflow cases from a repository of process models. Our approach to workflow model management is based on a structured workflow lifecycle and leverages recent advances in model management and case-based reasoning techniques. Our contributions include a conceptual model of workflow cases, a similarity flooding algorithm for workflow case retrieval, and a domain-independent AI planning approach to workflow case composition. We illustrate the workflow model management framework with a prototype system called Case-Oriented Design Assistant for Workflow Modeling (CODAW).10aAccounting10aBIS1 aMadhusudan, Therani1 aZhao, Leon1 aMarshall, Byron uhttp://people.oregonstate.edu/~marshaby/Papers/Madhusudan_DKE_CODAW.pdf02392nas a2200193 4500008004100000245007400041210006900115260000900184300001200193490000700205520180700212653001502019653000802034100002002042700001802062700001902080700001902099856008002118 2004 eng d00aEBizPort: Collecting and Analyzing Business Intelligence Information0 aEBizPort Collecting and Analyzing Business Intelligence Informat c2004 a873-8910 v553 aIn this article, Marshall, McDonald, Chen, and Chung take a different approach to supporting search services to large and heterogeneous document collections. They propose development of a domain-specific collection by crawling the content of a small set of highly reputable sites, maintaining a local index of the content, and providing browsing and searching services on the specialized content. This resource, known as a vertical portal, has the potential of overcoming several problems associated with bias, update delay, reputation, and integration of scattered information. The article discusses the design of a vertical portal system's architecture called EbizPort, rationale behind its major components, and algorithms and techniques for building collections and search functions. Collection (or more broadly content) has an obvious relationship to the nature of the search interface, as it can impact the type of search functions that can be offered. Powerful search interface functions were built for EbizPort by exploiting the underlying content representation and a relatively narrow and well-defined domain focus. Particularly noteworthy are the innovative browsing functions, which include a summarizer, a categorizer, a visualizer, and a navigation side-bar. The article ends with a discussion of an evaluation study, which compared the EbizPort system with a baseline system called Brint. Results are presented on effectiveness and efficiency, usability and information quality, and quality of local collection and content retrieved from other sources (an extended search operation called meta-search service was also provided in the system). Overall, the authors find that EbizPort outperforms the baseline system, and it provides a viable way to support access to business information.10aAccounting10aBIS1 aMarshall, Byron1 aMcDonald, Dan1 aChen, Hsinchun1 aChung, Wingyan uhttp://people.oregonstate.edu/~marshaby/Papers/Marshall_JASIST_EBizPort.pdf00414nas a2200133 4500008004100000245003700041210003700078260000900115653001500124653000800139100002000147700002400167856008900191 2004 eng d00aElement Matching in Concept Maps0 aElement Matching in Concept Maps c200410aAccounting10aBIS1 aMarshall, Byron1 aMadhusudan, Therani uhttp://people.oregonstate.edu/~marshaby/Papers/Marshall_JCDL2004_ElementMatching.pdf01663nas a2200193 4500008004100000245009100041210006900132260000900201300001100210490000700221520107000228653001501298653000801313100001801321700001901339700001201358700002001370856007901390 2004 eng d00aExtracting Gene Pathway Relations Using a Hybrid Grammar: The Arizona Relation Parser0 aExtracting Gene Pathway Relations Using a Hybrid Grammar The Ari c2004 a3370-80 v203 aMotivation: Text-mining research in the biomedical domain has been motivated by the rapid growth of new research findings. Improving the accessibility of findings has potential to speed hypothesis generation.Results: We present the Arizona Relation Parser that differs from other parsers in its use of a broad coverage syntax-semantic hybrid grammar. While syntax grammars have generally been tested over more documents, semantic grammars have outperformed them in precision and recall. We combined access to syntax and semantic information from a single grammar. The parser was trained using 40 PubMed abstracts and then tested using 100 unseen abstracts, half for precision and half for recall. Expert evaluation showed that the parser extracted biologically relevant relations with 89% precision. Recall of expert identified relations with semantic filtering was 35 and 61% before semantic filtering. Such results approach the higher-performing semantic parsers. However, the AZ parser was tested over a greater variety of writing styles and semantic content. 10aAccounting10aBIS1 aMcDonald, Dan1 aChen, Hsinchun1 aSu, Hua1 aMarshall, Byron uhttp://people.oregonstate.edu/~marshaby/Papers/MCDONALD_BIOINFORMATICS.pdf01516nas a2200205 4500008004100000245006500041210006300106260000900169520090600178653001501084653000801099100002001107700001701127700001901144700001501163700001401178700001601192700002001208856008201228 2003 eng d00aKnowledge Management and E-Learning: the GetSmart Experience0 aKnowledge Management and ELearning the GetSmart Experience c20033 aThe National Science Digital Library (NSDL), launched in December 2002, is emerging as a center of innovation in digital libraries as applied to education. As a part of this extensive project, the GetSmart system was created to apply knowledge management techniques in a learning environment. The design of the system is based on an analysis of learning theory and theinformation search process. Its key notion is the integration of search tools and curriculum support with concept mapping. More than 100 students at the University of Arizona and Virginia Tech used the system in the fall of 2002. A database of more than one thousand student-prepared concept maps has been collected with more than forty thousand relationships expressed in semantic, graphical, node-link representations. Preliminary analysis of the collected data is revealing interesting knowledge representation patterns. 10aAccounting10aBIS1 aMarshall, Byron1 aZhang, Yiwen1 aChen, Hsinchun1 aLally, Ann1 aShen, Rao1 aFox, Edward1 aCassel, Lillian uhttp://people.oregonstate.edu/~marshaby/Papers/Marshall_JCDL2003_GetSmart.pdf