Charles A. Wood is an Assistant Professor in the Management Information Systems area at the Palumbo Donahue School of Business at Duquesne University in Pittsburgh, Pennsylvania.  After spending over a decade in the "real world" as a systems analyst, team leader, manager, systems architect, and finally as the owner of a successful consulting company, Chuck returned to academia to complete an M.B.A. and a Ph.D.  Chuck has taught at several institutions, including Notre Dame and at the University of Minnesota.

Dr. Wood develops and teaches courses at the undergraduate and graduate level where he challenges students to understand how information flows within an organization, and how to develop systems to get the right information to the right people at the right time to make the right decisions, and how to protect the information and ensure the information is correct.

Dr. Wood received his doctorate from the University of Minnesota's Carlson School of Management. His research interests are e-commerce, electronic auctions, buyer and seller reputations, and pricing in Internet-based selling. His publications appear in The Journal of MIS, Management Science, Communications of the ACM, Journal of MIS, Information Technology and Management, Electronic Commerce Research and Applications, Managerial Decisions and Economics, Information Systems Frontiers, and the International Journal of Intelligent Systems in Accounting, Finance and Management. He has authored multiple books on software development, database management and computer systems development.

Ow, T. T.; Wood, C. A. "Which online channel is right? Online auction channel choice for personal computers in the presence of demand decay." Electronic Commerce Research and Applications 10(2) , 2011, 203-213

Easley, R., Wood, C., and Barkataki, S. "Bidding Patterns, Experience, and  Avoiding the Winner's Curse in Online Auctions," Journal of MIS, 27(3), 2011, 241-268.
Kauffman, R. J., Spaulding, T., and Wood, C. A. "Are online auction markets efficient? An empirical study of market liquidity and abnormal returns," Decision Support Systems 48 (1), 2009, 3-13.

Dellarocas, C. and Wood, C. A. "The Sound of Silence in Online Feedback: Estimating Trading Risks in the Presence of Reporting Bias," Management Science 54(3), March 2008, 460-476.

Kauffman, R.J., and Wood, C.A. "Follow the Leader: Price Change Timing and Strategic Pricing in E-Commerce," Managerial and Decision Economics 28 (7), October 2007, 697-700.

Kauffman, R.J., and Wood, C.A., "Doing Their Bidding: An Empirical Examination of Factors that Affect a Buyer's Utility in Internet Auctions," Information Technology and Management 7 (3), September 2006, 171-190.

Wood, C. A. and Ow, T. "WEBVIEW; an SQL extension for joining corporate data to data derived from the web."  Communications of the ACM  48 (9), September 2005, 99-104.

Kauffman, R. J., March, S. T., Wood, C. A.  "Design Principles for Long-Lived Internet Agents," International Journal of Intelligent Systems in Accounting, Finance, and Management, 9 (4), December 2000, 217-236.

March, S., Wood, C., and Allen, G. "Research Frontiers in Object Technology," Information Systems Frontiers 1 (1), 1999.

I am most interested in the effects that Internet systems have on buyers, sellers, and firms.  It is easily argued that the Internet has changed selling and purchasing behavior.  My main research goal is to analyze how these behavioral changes result in modifications in seller actions, buyer behavior, and thus result in a change in firm and market structure. While my research spans the entire e-commerce space, such as competition, bundling decisions, firm size, and pricing decisions made among vendor retailers like Amazon, my research often uses data from online auctions, where thousands of sellers and thousands of buyers interact, making it a rich environment for studying how buyers and sellers interact over online auction Internet systems.  Indeed, several small business exist solely through online auction sites like eBay, often generating up to hundreds of thousands of dollars in annual sales, and also  other well established companies such as Hewlett Packard, Dell, and Disney now use eBay as a channel for sales.

Online auctions, in particular, have shown perhaps the greatest change in structure from traditional auctions.  Lately, my work in online auctions has concentrated on how technology has changed traditional auctions to a type of asset exchange, where financial aspects like investment risk and return, market efficiency, and the value of options can be studied.  This research is only recently made possible by the millions of buyers and sellers participating in online auctions - a participation level that is several orders of magnitude higher than participation in auctions before the Internet.  It has also proven to be of interest, as results from my auction research stream have been discussed in articles appearing in The Economist, The New York Times, and many other trade and news publications.

To gather data for my research, I have developed customized Internet agents (written in Java, a computer programming language) that can gather literally millions of records in a relatively short time and in at very low cost.  The design of Internet agents and automated data collection methodologies has become a source of research interest for me, resulting in systems design articles that describe the development and design of data collecting Internet agents, a research stream on ethical data collection, articles on how the Web has changed research, and even a patent (held jointly by Notre Dame and myself) that describes how database data can be joined to Web data with an SQL addition that can reside on the database engine and perform ad hoc queries that join database and Web data. I have developed a tool in Java that incorporates this SQL addition, and I often use this tool when I gather data to conduct research.  These articles on data collection are complemented by five pedagogical books (each around 700 pages or so) and a myriad of book chapters that I have written that deal with overall systems and database design and development in various computer languages.

2010: Best Paper Award -- Marketing Strategy and Marketing Management Track. 2010 American Marketing Association (AMA) Summer Marketing Educator's Conference, Boston, USA, 2010. 

2010: Best Paper Award -- Marketing Track, 43rd Hawaii International Conference on System Sciences (HICSS), Kauai, Hawaii. 2010.

2002: Best Dissertation Award -- University of Minnesota Conference on E-Commerce

2000: Best Paper Award - International Conference on Information Systems (ICIS 2000) for "Follow the Leader? Strategic Pricing in E-Commerce," joint research on price competition in Internet-based selling with R.J. Kauffman (chosen best out of 348 submissions and 44 accepted papers).

2000: Winner, Best Paper of Conference. American Conference on Information Systems (AMCIS 2000), August 2000, Winner, Best Paper in Mini-Track, Electronic Markets and Auctions, for "Running Up the Bid: Modeling Seller Opportunism in Internet Auctions," joint research on seller pricing behavior in Internet-based electronic auction markets with R. J. Kauffman. (Chosen best out of 194 accepted papers.)

2000: Best Research in Track. University of Minnesota Annual Conference on E-Commerce, Winner, Ph. D. Research Track.'

2000: Carlson School of Management Dissertation Fellowship, University of Minnesota