Accounting

T. Blackburne and Quinn, P., “Disclosure Speed: Evidence from Nonpublic SEC Investigations”, The Accounting Review, 2022.
T. Blackburne and Quinn, P., “Disclosure Speed: Evidence from Nonpublic SEC Investigations”, 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?”, Journal of Accounting and Economics, vol. 71, no. 2-3, 2021.
T. Blackburne, Bernard, D., and Thornock, J., “Information flows among rivals and corporate investment”, Journal of Financial Economics, vol. 136, no. 3, pp. 760-779, 2020.
T. Blackburne, Kepler, J., Quinn, P., and Taylor, D., “Undisclosed SEC Investigations”, Management Science, 2020.
T. Blackburne and Armstrong, C., “Discussion of "Do Voting Rights Matter? Evidence from the Adoption of Equity-Based Compensation Plans."”, 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?”, International Journal of Digital Accounting Research, vol. 10, pp. 27-54, 2010.
C. Brown and Coakley, J., “Financial neural Network applications: 1998-1999 update”, 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 Issues”, 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 Accounting”, Management Accounting, vol. LXXVI, no. 11, pp. 51-53, 56-57, 1995.
C. Brown, Coakley, J., and Phillips, M. Ellen, “Neural Networks: Nuts and Bolts”, 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 Management”, 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 Process”, 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 Activities”, 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 Statistics”, 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 Expense”, 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 Shifting”, Journal of Accounting Research, vol. 58, no. 4, pp. 953-987, 2020.
J. Elston and Weidinger, A., “Internationalization and Regional Entrepreneurship in China”, Small Business Economics, 2019.
J. Elston, Chen, S., and Weidinger, A., “The role of informal capital on new venture formation and growth in China”, Small Business Economics, vol. 46, no. 1, pp. 79-91, 2016.
M. Behm, Veltri, A., and Kleinsorge, I., “The Cost of Safety: Cost Analysis Model”, 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 curricula”, 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 Schools”, International Journal of Operations and Quantitative Management, vol. 3, no. 2, pp. 125-138, 1997.
I. Kleinsorge, “A Multicourse Practice Set: The Ultimate 'Messy' Problem”, Journal of Private Enterprise, vol. 7, no. 2, 1997.
I. Kleinsorge, “Lessons Learned Using Total Quality Concepts for Accounting Curriculum Development”, vol. 2, no. 2, pp. 185-198, 1997.
I. Kleinsorge, “Linking Accounting Courses with an Unstructured Project”, vol. 2, no. 2, pp. 199-211, 1997.
I. Kleinsorge, “Financial and Efficiency Differences in Family-Owned and Non-Family Owned Nursing Homes An Oregon Study”, Family Business Review, 1994.
H. Koenig and Kleinsorge, I., “Perceptual Measures of Quality: A Tool to Improve Nursing Home Systems”, Hospital & Health Services Administration, vol. 39, no. 4, pp. 487-503, 1994.
I. Kleinsorge, “TQM: Are Cost Accountants Meeting The Challenge”, Management Accounting, vol. 75, no. 10, pp. 65-67, 1994.
H. Koenig and Kleinsorge, I., “The Silent Customers: Measuring Customer Satisfaction in Nursing Homes”, 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-Compliance”, 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-Compliance”, 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 Behavior”, 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 Behavior”, 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 Effectiveness”, Communications of the IIMA, vol. 15, no. 1, 2017.
M. Curry, Marshall, B., and Kawalek, P., “Improving IT Assessment with IT Artifact Affordance Perception Priming”, 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 paradigms”, 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)”, 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 Quality”, 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 Standards”, 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?”, 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 Security”, 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 Activity”, 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 System”, 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 Relations”, 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 Algorithm”, 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 Experience”, 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 Management”, 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 Information”, 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 Parser”, 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?”, International Journal of Accounting Information Systems, vol. 48, 2023.
K. Obermire, Cohen, J., and Johnstone, K., “Audit Committee Members' Professional Identities: Evidence from the Field”, 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 Aggressiveness”, 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 Quality”, Contemporary Accounting Research, 2021.
D. Downey, Obermire, K., and Zehms, K., “Toward an Understanding of Audit Team Distribution and Performance Quality”, 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 Evidence”, 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 cooperation”, 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)”, 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 Quality”, 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 Standards”, 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 Management”, 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 Expense”, 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 it”, Contemporary Accounting Research, vol. 37, no. 2, pp. 1140-1171, 2020.
L. Steele and Lee, G., “Debt Structure and Conditional Conservatism”, Journal of Financial Reporting, 2019.
L. Steele, Gaertner, F., and Kauser, A., “Negative accounting earnings and gross domestic product”, 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"”, 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 Risk”, 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 filings”, Review of Accounting Studies, vol. 19, no. 1, pp. 396-455, 2014.
J. Deng and Yang, J., “Corporate Reputation and Hedging Activities”, 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 Markets”, 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?”, 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 Technology”, 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 Effects”, 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 Practices”, 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 update”, 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 Issues”, 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 Chain”, 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,"”, 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 Game”, Journal of Management Education, 1998.
J. Coakley, “An Expert System to Diagnose Anemia and Report Results Directly on Hematology Forms”, Computers and Biomedical Research, pp. 16-26, 1996.
J. Coakley, “Using Pattern Analysis Methods to Supplement Attention-Directing Analytical Procedures”, Expert Systems with Applications, no. December, pp. 513-528, 1996.
J. Coakley, “CIO 'Impression Management:' Problems and Practices”, 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 Accounting”, Management Accounting, vol. LXXVI, no. 11, pp. 51-53, 56-57, 1995.
C. Brown, Coakley, J., and Phillips, M. Ellen, “Neural Networks: Nuts and Bolts”, 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 Management”, 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 Process”, 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 Cultures”, International Journal of Logistics Management, vol. 2, pp. 22-29, 1991.
J. Coakley, “The Expectations of Accounting Errors in Medium-Sized Manufacturing Firms”, 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 Transactions”, Journal of Operations Management, 2022.
J. Chen, Shao, R., and Fan, S., “Destabilization and Consolidation: Conceptualizing, Measuring, and Validating the Dual Characteristics of Technology”, 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 Analysis”, 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 Perspective”, MIS Quarterly, vol. 45, no. 2, pp. 563-692, 2021.
S. Fan and Ilk, N., “A text analytics framework for automated communication pattern analysis”, 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 Media”, Decision Sciences, 2020.
J. Wu, Fan, S., and J. Zhao, L., “Community Engagement and Online Word of Mouth: An Empirical Investigation”, 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 Methodology”, 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 approach”, 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 data”, 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 Modeling”, 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 issue”, Financial Innovation, vol. 2, 2016.
S. Fan, Lau, R., and Zhao, J. L., “Demystifying big data analytics through the lens of marketing mix”, Big Data Research, vol. 2, no. 1, pp. 28-32, 2015.

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