Accounting

T. Blackburne and Quinn, P., “Disclosure Speed: Evidence from Nonpublic SEC Investigationsâ€, The Accounting Review, 2022.
T. Blackburne and Quinn, P., “Disclosure Speed: Evidence from Nonpublic SEC Investigationsâ€, The Accounting Review, vol. 98, no. 1, pp. 55-82, 2022.
T. Blackburne, Armstrong, C., and Quinn, P., “Are CEO's purchases more profitable than they appear?â€, Journal of Accounting and Economics, vol. 71, no. 2-3, 2021.
T. Blackburne, Bernard, D., and Thornock, J., “Information flows among rivals and corporate investmentâ€, Journal of Financial Economics, vol. 136, no. 3, pp. 760-779, 2020.
T. Blackburne, Kepler, J., Quinn, P., and Taylor, D., “Undisclosed SEC Investigationsâ€, Management Science, 2020.
T. Blackburne and Armstrong, C., “Discussion of "Do Voting Rights Matter? Evidence from the Adoption of Equity-Based Compensation Plans."â€, Contemporary Accounting Research, vol. 29, pp. 1237-1248, 2012.
B. Marshall, Mortenson, K., Bourne, A., and Price, K., “Visualizing Basic Accounting Flows: Does XBRL + Model + Animation = Understanding?â€, International Journal of Digital Accounting Research, vol. 10, pp. 27-54, 2010.
C. Brown and Coakley, J., “Financial neural Network applications: 1998-1999 updateâ€, New Review of Applied Expert Systems and Emerging Technologies, vol. 7, pp. 167-182, 2001.
J. Coakley and Brown, C., “Artificial Neural Networks in Accounting and Finance: Modeling Issuesâ€, International Journal of Intelligent Systems in Accounting Finance and Management, vol. 9, no. 2, pp. 119-144, 2000.
C. Brown, Coakley, J., and Phillips, M. Ellen, “Neural Networks Enter the World of Management Accountingâ€, Management Accounting, vol. LXXVI, no. 11, pp. 51-53, 56-57, 1995.
C. Brown, Coakley, J., and Phillips, M. Ellen, “Neural Networks: Nuts and Boltsâ€, Management Accounting, vol. LXXVI, no. 11, pp. 54-55, 1995.
C. Brown, Coakley, J., and Eining, M. M., “Conference Report: The Fourth International Symposium on Intelligent Systems in Accounting, Finance and Managementâ€, International Journal of Intelligent Systems in Accounting Finance and Management, vol. 3, no. 3, pp. 223-235, 1994.
J. Coakley and Brown, C., “Artificial Neural Networks Applied to Ratio Analysis in the Analytical Review Processâ€, International Journal of Intelligent Systems in Accounting, Finance and Management, vol. 2, no. 1, pp. 19-39, 1993.
J. Deng and Yang, J., “Corporate Reputation and Hedging Activitiesâ€, Accounting and Finance, vol. 63, no. S1, pp. 1223-1247, 2023.
J. Deng and Laux, R. C., “Income Shifting and U.S. International Trade in Goods Statisticsâ€, Journal of Accounting and Public Policy, vol. 40, no. 5, 2021.
J. Deng, Steele, L., Lynch, D., and Gaertner, F. B., “Proprietary Costs and the Reporting of Segment-level Tax Expenseâ€, Journal of the American Taxation Association, vol. 43, no. 1, pp. 1-26, 2021.
J. Deng, “Foreign Exchange Risk, Hedging, and Tax-Motivated Outbound Income Shiftingâ€, Journal of Accounting Research, vol. 58, no. 4, pp. 953-987, 2020.
J. Elston and Weidinger, A., “Internationalization and Regional Entrepreneurship in Chinaâ€, Small Business Economics, 2019.
J. Elston, Chen, S., and Weidinger, A., “The role of informal capital on new venture formation and growth in Chinaâ€, Small Business Economics, vol. 46, no. 1, pp. 79-91, 2016.
M. Behm, Veltri, A., and Kleinsorge, I., “The Cost of Safety: Cost Analysis Modelâ€, Professional Safety, vol. 49, no. 4, pp. 22-29, 2004.
J. Drexler and Kleinsorge, I., “Using total quality processes and learning outcome assessments to develop management curriculaâ€, Journal of Management Education, vol. 24, no. 2, pp. 167-182, 2000.
I. Kleinsorge, “A Benchmarking Study of the Current Practices with Regard to the Role of the Quantitative Curriculum in Business Schoolsâ€, International Journal of Operations and Quantitative Management, vol. 3, no. 2, pp. 125-138, 1997.
I. Kleinsorge, “A Multicourse Practice Set: The Ultimate 'Messy' Problemâ€, Journal of Private Enterprise, vol. 7, no. 2, 1997.
I. Kleinsorge, “Lessons Learned Using Total Quality Concepts for Accounting Curriculum Developmentâ€, vol. 2, no. 2, pp. 185-198, 1997.
I. Kleinsorge, “Linking Accounting Courses with an Unstructured Projectâ€, vol. 2, no. 2, pp. 199-211, 1997.
I. Kleinsorge, “Financial and Efficiency Differences in Family-Owned and Non-Family Owned Nursing Homes An 91ÆÞÓÑ Studyâ€, Family Business Review, 1994.
H. Koenig and Kleinsorge, I., “Perceptual Measures of Quality: A Tool to Improve Nursing Home Systemsâ€, Hospital & Health Services Administration, vol. 39, no. 4, pp. 487-503, 1994.
I. Kleinsorge, “TQM: Are Cost Accountants Meeting The Challengeâ€, Management Accounting, vol. 75, no. 10, pp. 65-67, 1994.
H. Koenig and Kleinsorge, I., “The Silent Customers: Measuring Customer Satisfaction in Nursing Homesâ€, Journal of Health Care Marketing, vol. 11, no. 4, pp. 2-13, 1991.
B. Marshall, Curry, M., Correia, J., and Crossler, R. E., “Machine Learning and Survey-based Predictors of InfoSec Non-Complianceâ€, ACM Transactions on Management Information Systems, vol. 13, no. 2, pp. 1-20, 2021.
B. Marshall, Curry, M., Correia, J., and Crossler, R. E., “Machine Learning and Survey-based Predictors of InfoSec Non-Complianceâ€, ACM Transactions on Management Information Systems, 2021.
M. Curry, Marshall, B., Correia, J., and Crossler, R. E., “InfoSec Process Action Model (IPAM): Targeting Insider's Weak Password Behaviorâ€, Journal of Information Systems, vol. 33, no. 3, pp. 201-225, 2019.
M. Curry, Marshall, B., Crossler, R. E., and Correia, J., “InfoSec Process Action Model (IPAM): Systematically Addressing Individual Security Behaviorâ€, Data Base for Advances in Information Systems, vol. 49, no. SI, 2018.
M. Curry, Marshall, B., and Kawalek, P., “A Normative Model for Assessing SME IT Effectivenessâ€, Communications of the IIMA, vol. 15, no. 1, 2017.
M. Curry, Marshall, B., and Kawalek, P., “Improving IT Assessment with IT Artifact Affordance Perception Primingâ€, International Journal of Accounting Information Systems, vol. 19, pp. 17-28, 2015.
M. Curry, Marshall, B., and Kawalek, P., “IT Artifact Bias: How exogenous predilections influence organizational information system paradigmsâ€, International Journal of Information Management, vol. 34, no. 4, pp. 427-436, 2014.
R. Reitsma, Marshall, B., and Chart, T., “Can Intermediary-based Science Standards Crosswalking Work? Some Evidence from Mining the Standard Alignment Tool (SAT)â€, Journal of the Association for Information Science and Technology, vol. 63, pp. 1843-1858, 2012.
B. Marshall, Curry, M., and Reitsma, R., “Organizational Information Technology Norms and IT Qualityâ€, Communications of the IIMA, vol. 11, no. 4, 2011.
R. Reitsma, Marshall, B., and Zarske, M., “Aspects of 'Relevance' in the Alignment of Curriculum with Educational Standardsâ€, Information Processing & Management, vol. 46, no. 3, pp. 362-376, 2010.
B. Marshall, Mortenson, K., Bourne, A., and Price, K., “Visualizing Basic Accounting Flows: Does XBRL + Model + Animation = Understanding?â€, International Journal of Digital Accounting Research, vol. 10, pp. 27-54, 2010.
S. Kaza, Xu, J., Marshall, B., and Chen, H., “Topological Analysis of Criminal Activity Networks: Enhancing Transportation Securityâ€, IEEE Transactions on Intelligent Transportation Systems, vol. 10, no. 1, pp. 83 - 91, 2009.
B. Marshall, Chen, H., and Kaza, S., “Using Importance Flooding to Identify Interesting Networks of Criminal Activityâ€, Journal of the Association for Information Science and Technology, vol. 59, no. 13, pp. 2099-2114, 2008.
K. D. Quiñones, Su, H., Marshall, B., Eggers, S., and Chen, H., “User-Centered Evaluation of Arizona BioPathway: An Information Extraction, Integration, and Visualization Systemâ€, IEEE Transactions on Information Technology in Biomedicine, vol. 11, no. 5, pp. 527-536, 2007.
B. Marshall, Su, H., McDonald, D., Eggers, S., and Chen, H., “Aggregating Automatically Extracted Regulatory Pathway Relationsâ€, IEEE Transactions on Information Technology in Biomedicine, vol. 10, no. 1, pp. 100- 108, 2006.
B. Marshall, Chen, H., and Madhusudan, T., “Matching Knowledge Elements in Concept Maps Using a Similarity Flooding Algorithmâ€, Decision Support Systems, vol. 42, no. 3, pp. 1290-1306, 2006.
B. Marshall, Chen, H., Shen, R., and Fox, E. A., “Moving Digital Libraries into the Student Learning Space: the GetSmart Experienceâ€, Journal on Educational Resources in Computing, vol. 6, no. 1, 2006.
T. Madhusudan, J. Zhao, L., and Marshall, B., “A Case-based Reasoning Framework for Workflow Model Managementâ€, Data and Knowledge Engineering, vol. 50, no. 1, pp. 87-115, 2004.
B. Marshall, McDonald, D., Chen, H., and Chung, W., “EBizPort: Collecting and Analyzing Business Intelligence Informationâ€, Journal of the Association for Information Science and Technology, vol. 55, no. 1, pp. 873-891, 2004.
D. McDonald, Chen, H., Su, H., and Marshall, B., “Extracting Gene Pathway Relations Using a Hybrid Grammar: The Arizona Relation Parserâ€, Bioinformatics, vol. 20, no. 18, pp. 3370-8, 2004.
C. Norman, Obermire, K., Rose, A. M., Rose, J., and Frydenlund, N., “Take Responsibility or Take Action: How Can Firms Recover from Information Technology Control Material Weakness Disclosures?â€, International Journal of Accounting Information Systems, vol. 48, 2023.
K. Obermire, Cohen, J., and Johnstone, K., “Audit Committee Members' Professional Identities: Evidence from the Fieldâ€, Accounting, Organizations and Society, vol. 93, 2021.
E. R. Condie, Obermire, K., Seidel, T. A., and Wilkins, M. S., “Prior Audit Experience and CFO Financial Reporting Aggressivenessâ€, Auditing: A Journal of Practice and Theory, 2021.
P. Hurley, Mayhew, B., Obermire, K., and Tegeler, A., “The Impact of Risk and the Potential for Loss on Managers' Demand for Audit Qualityâ€, Contemporary Accounting Research, 2021.
D. Downey, Obermire, K., and Zehms, K., “Toward an Understanding of Audit Team Distribution and Performance Qualityâ€, Auditing: A Journal of Practice and Theory, vol. 39, no. 4, pp. 87-112, 2020.
P. Hurley, Mayhew, B., and Obermire, K., “Realigning Auditors' Accountability: Experimental Evidenceâ€, The Accounting Review, vol. 94, no. 3, pp. 233-250, 2019.
C. Chen, Pesch, H., and Wang, L., “Selection benefits of below-market pay in social-mission organizations: effects on individual performance and team cooperationâ€, The Accounting Review, vol. 95, no. 1, pp. 57-77, 2020.
R. Reitsma, Marshall, B., and Chart, T., “Can Intermediary-based Science Standards Crosswalking Work? Some Evidence from Mining the Standard Alignment Tool (SAT)â€, Journal of the Association for Information Science and Technology, vol. 63, pp. 1843-1858, 2012.
B. Marshall, Curry, M., and Reitsma, R., “Organizational Information Technology Norms and IT Qualityâ€, Communications of the IIMA, vol. 11, no. 4, 2011.
R. Reitsma, Marshall, B., and Zarske, M., “Aspects of 'Relevance' in the Alignment of Curriculum with Educational Standardsâ€, Information Processing & Management, vol. 46, no. 3, pp. 362-376, 2010.
W. O'Grady, Akroyd, C., and Scott, I., “Beyond Budgeting: Distinguishing Modes of Adaptive Performance Managementâ€, Advances in Management Accounting, vol. 29, pp. 33-53, 2017.
J. Deng, Steele, L., Lynch, D., and Gaertner, F. B., “Proprietary Costs and the Reporting of Segment-level Tax Expenseâ€, Journal of the American Taxation Association, vol. 43, no. 1, pp. 1-26, 2021.
L. Steele, Campbell, J., and Lee, G., “Express yourself: Why managers' disclosure tone varies across time and what investors learn from itâ€, Contemporary Accounting Research, vol. 37, no. 2, pp. 1140-1171, 2020.
L. Steele and Lee, G., “Debt Structure and Conditional Conservatismâ€, Journal of Financial Reporting, 2019.
L. Steele, Gaertner, F., and Kauser, A., “Negative accounting earnings and gross domestic productâ€, Review of Accounting Studies, 2019.
L. Steele, Bens, D., and Monahan, S., “The Effect of Aggregation of Accounting Information via Segment Reporting on Accounting Conservatism"â€, European Accounting Review, vol. 27, no. 2, pp. 237-262, 2018.
L. Steele, Dhaliwal, D., Lee, H. - S., and Pincus, M., “Taxable Income and Firm Riskâ€, Journal of the American Taxation Association, vol. 39, no. 1, pp. 1-24, 2017.
L. Steele, Campbell, J., Chen, H., Dhaliwal, D., and Lu, H. -min, “The information content of mandatory risk factor disclosures in corporate filingsâ€, Review of Accounting Studies, vol. 19, no. 1, pp. 396-455, 2014.
J. Deng and Yang, J., “Corporate Reputation and Hedging Activitiesâ€, Accounting and Finance, vol. 63, no. S1, pp. 1223-1247, 2023.
L. Dang and Yang, J., “The choice between rights and underwritten equity offerings: Evidence from Chinese Stock Marketsâ€, Journal of Multinational Financial Management, vol. 23, no. 3, pp. 235-253, 2013.

BIS

B. Marshall, Mortenson, K., Bourne, A., and Price, K., “Visualizing Basic Accounting Flows: Does XBRL + Model + Animation = Understanding?â€, International Journal of Digital Accounting Research, vol. 10, pp. 27-54, 2010.
J. Chen, Shao, R., and Fan, S., “Destabilization and Consolidation: Conceptualizing, Measuring, and Validating the Dual Characteristics of Technologyâ€, Research Policy, vol. 50, no. 1, pp. 104-115, 2021.
E. Coulter, Coakley, J., and Sessions, J., “The Analytic Hierarchy Process: A Tutorial for Use in Prioritizing Forest Road Investments to Minimize Environmental Effectsâ€, International Journal of Forest Engineering, vol. 17, no. 2, pp. 51-70, 2006.
M. K. Fiegener and Coakley, J., “Making Sense of Strategic Alignment: An Interpretive View of Alignment Problems and Practicesâ€, Journal of Information Technology Management, vol. XIII, no. 3-4, pp. 15-32, 2002.
C. Brown and Coakley, J., “Financial neural Network applications: 1998-1999 updateâ€, New Review of Applied Expert Systems and Emerging Technologies, vol. 7, pp. 167-182, 2001.
J. Coakley and Brown, C., “Artificial Neural Networks in Accounting and Finance: Modeling Issuesâ€, International Journal of Intelligent Systems in Accounting Finance and Management, vol. 9, no. 2, pp. 119-144, 2000.
C. K. Tyran and Coakley, J., “The E-Commerce Course Project: Creating Educational Linkages with the Value Chainâ€, Journal of Informatics Education and Research, vol. 2, no. 2, pp. 59-70, 2000.
J. Coakley, Drexler, J. A., Kircher, A. E., and Larson, E. W., “Using a Computer Based Version of The Beer Game - Lessons Learned,"â€, Journal of Management Education, vol. 22, no. 3, pp. 416-424, 1998.
E. Larson, Coakley, J., and Drexler, J., “Using a Computer-Based Version of the Beer Gameâ€, Journal of Management Education, 1998.
J. Coakley, “An Expert System to Diagnose Anemia and Report Results Directly on Hematology Formsâ€, Computers and Biomedical Research, pp. 16-26, 1996.
J. Coakley, “Using Pattern Analysis Methods to Supplement Attention-Directing Analytical Proceduresâ€, Expert Systems with Applications, no. December, pp. 513-528, 1996.
J. Coakley, “CIO 'Impression Management:' Problems and Practicesâ€, Journal of Systems Management, no. Nov/Dec, pp. 56-61, 1995.
C. Brown, Coakley, J., and Phillips, M. Ellen, “Neural Networks Enter the World of Management Accountingâ€, Management Accounting, vol. LXXVI, no. 11, pp. 51-53, 56-57, 1995.
C. Brown, Coakley, J., and Phillips, M. Ellen, “Neural Networks: Nuts and Boltsâ€, Management Accounting, vol. LXXVI, no. 11, pp. 54-55, 1995.
C. Brown, Coakley, J., and Eining, M. M., “Conference Report: The Fourth International Symposium on Intelligent Systems in Accounting, Finance and Managementâ€, International Journal of Intelligent Systems in Accounting Finance and Management, vol. 3, no. 3, pp. 223-235, 1994.
J. Coakley and Brown, C., “Artificial Neural Networks Applied to Ratio Analysis in the Analytical Review Processâ€, International Journal of Intelligent Systems in Accounting, Finance and Management, vol. 2, no. 1, pp. 19-39, 1993.
J. Coakley, “A Compari­son of User Satisfaction with MIS Across Two Culturesâ€, International Journal of Logistics Management, vol. 2, pp. 22-29, 1991.
J. Coakley, “The Expectations of Accounting Errors in Medium-Sized Manufacturing Firmsâ€, Advances in Accounting, vol. 2, no. 199-245, 1985.
G. Shang, Ilk, N., and Fan, S., “Need for Speed, but How Much Does It Cost? Unpacking the Fee-Speed Relationship in Cryptocurrency Transactionsâ€, Journal of Operations Management, 2022.
J. Chen, Shao, R., and Fan, S., “Destabilization and Consolidation: Conceptualizing, Measuring, and Validating the Dual Characteristics of Technologyâ€, Research Policy, vol. 50, no. 1, pp. 104-115, 2021.
D. Pan, J. Zhao, L., Fan, S., and Zhang, Z., “Dividend or No Dividend in Delegated Blockchain Governance: A Game Theoretic Analysisâ€, Journal of Systems Science and Systems Engineering, pp. 1-19, 2021.
N. Ilk, Shang, G., Fan, S., and J. Zhao, L., “Stability of Transaction Fees in Bitcoin: A Supply and Demand Perspectiveâ€, MIS Quarterly, vol. 45, no. 2, pp. 563-692, 2021.
S. Fan and Ilk, N., “A text analytics framework for automated communication pattern analysisâ€, Information & Management, vol. 57, no. 4, 2020.
N. Ilk and Fan, S., “Combining Textual Cues with Social Clues: Utilizing Social Features to Improve Sentiment Analysis in Social Mediaâ€, Decision Sciences, 2020.
J. Wu, Fan, S., and J. Zhao, L., “Community Engagement and Online Word of Mouth: An Empirical Investigationâ€, Information & Management, vol. 55, no. 2, pp. 258-270, 2018.
S. Fan, Li, X., and J. Zhao, L., “Collaboration Process Pattern Approach to Improving Teamwork Performance: A Data Mining-Based Methodologyâ€, INFORMS Journal on Computing, vol. 29, no. 3, pp. 438-456, 2017.
Z. Liu, Fan, S., Wang, H., and J. Zhao, L., “Enabling effective workflow model reuse: A data-centric approachâ€, Decision Support Systems, vol. 93, pp. 11-25, 2017.
S. Fan, Xiao, J. I., Xie, K., and J. Zhao, L., “Introduction to the special issue of ECR on E-business innovation with big dataâ€, Electronic Commerce Research, 2017.
S. Fan, Hua, Z., Storey, V., and Zhao, J. L., “A Process Ontology Based Approach to Easing Semantic Ambiguity in Business Process Modelingâ€, Data and Knowledge Engineering, vol. 102, 2016.
L. J. Zhao, Fan, S., and Yan, J., “Overview of business innovations and research opportunities in blockchain and introduction to the special issueâ€, Financial Innovation, vol. 2, 2016.
S. Fan, Lau, R., and Zhao, J. L., “Demystifying big data analytics through the lens of marketing mixâ€, Big Data Research, vol. 2, no. 1, pp. 28-32, 2015.

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