The
ISQS 7342-002, Fall 2007
ADVANCED TOPICS IN MIS – Recent Research Trends in Business
Intelligence
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Instructor: Dr. Office hours: 9-11a TTh or by appointment,
BA 708 Class Meeting: 9:00-11:50a Friday, BA 271 Course objectives:
Course Structure: In general,
this course will emphasize on the quantitative techniques with the
methodologies in both economics and behavioral science. The class will be
conducted in two phases. In the first phase, there will be two parallel threads:
the economics fundamentals and research methodology overview. There will be
some lectures covering a number of classical economics models and the basic
concepts in the game theoretic approach in order to make up necessary
background of the course. In the same
time, the students will be involved in the discussions on the designated
topics. In the second phase, the students will be assigned with readings in
BI/E-commerce research. In the class meeting some students will take the lead
on the presentation of the materials. After the class, students are requested
to complete a short summary about the topic. Deliverables: 1. 10 assignments (30%, not including class
discussions), each worth of 3%. There will be combinations of different types
of questions in each assignment: 1)
Problem solving, typically 1-2 questions in an
assignment. 2)
A summary from a reading material (2-3 page,
600-1200 words) containing the following contents.
a. Research question(s)
b. Methodology
c. Main logic flow of the paper
d. Theory and method
e. Contributions
f. Contemporary relevant research issues 3)
A comprehensive summary based on a number of
reading materials (3-6 page, 800-1500 words) with the following
contents.
a. general research background of the specific
topic
b. main research question in the covered
materials and their relationships
c. relevant theories and methods
d. key research outcomes: implications,
contributions, etc.
e. your comments 4)
A research issue proposal, 1-2 pages plus
references 2. Class participation (20%). Involvement in class discussion and weekly
short presentations if any. 3. A research proposal with clearly
defined research issues, relevant literature and applicable theories (6-10
pages plus references, double spacing, 12 point). (20%) 4. A final version of the extended
proposal or working paper with a twenty-minute in-class presentation (30%)
Grading
criteria of the deliverables: 1.
Relevance to the theme
of this seminar course 2.
Creativity and
insightfulness of the research subject 3.
Comprehensiveness and
broadness of the supporting information 4.
Quality writing and
conciseness of expressions 5.
Logically
well-structured and methodologically sound contents 6.
Timeliness of the submission Required
Textbooks: Game Theory for Applied Economists, by Robert
Gibbons, 288 pages, Princeton University Press; Reprint edition
(July 13, 1992), ISBN: 0691003955 |
Schedule
(subject to updates)
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Topics |
Reading
List (Articles are available in Texas
Tech University’s library) |
Deliverables
(due a week after the assignment): |
|
Topic
1 - Introduction |
Readings: ·
Vasant
Dhar, Arun Sundararajan, “Information Technologies in Business: A Blueprint
for Education and Research,” Information
Systems Research, Vol. 18, No. 2, June 2007, pp. 125–141 ·
Carr,
Nicholas G., “IT Doesn't Matter,” Harvard
Business Review, May2003, Vol. 81 Issue 5, pp41-49 References: ·
Pinsonneault, Alain, and Kraemer, Kenneth L. “Survey Research
Methodology in Management Information Systems: An Assessment” Journal of Management Information Systems,
Vol. 10 No. 2, Fall 1993 pp. 75 - 106 ·
Allen S. Lee, Richard L. Baskerville, “Generalizing Generalizability in
Information Systems Research,” Information
Systems Research, V14. September 2003, N3. pp 0221-0243 ·
Pierre Berthon, Leyland Pitt, Michael Ewing, Christopher L. Carr,
“Potential Research Space in MIS: A Framework for Envisioning and Evaluating
Research Replication, Extension, and Generation,” Information Systems Research, V13. December 2002, N4. pp
0416-0427 ·
Guy Paré, “INVESTIGATING INFORMATION SYSTEMS WITH POSITIVIST CASE STUDY
RESEARCH,” Comm. of AIS, (Volume
13, 2004) 233-264. |
Assignment 1 1)
List two
possible IT research issues that are relevant to any topics covered in this
semester. Each is described in a couple of sentences with 4-6 keywords. 2)
Summarize
the paper for the next week presentations. |
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Topic
2 - Market & Competition |
Readings: ·
Gibbons:
pp1-29, Nash equilibrium, strategy dominated equilibrium, prisoner’s dilemma,
sex battle, zero-sum. ·
Microeconomics
review: Any introductory reading materials about Cournot duopoly, Bertrand
duopoly, etc. (handout available). ·
Salop,
Steven C., “Monopolistic Competition with Outside Goods,” The Bell Journal of Economics 10(1),
Spring 1979, 141-150. ·
Dewan,
Rajiv, Bing Jin, and Abraham Seidmann, “Adoption of Internet-Based Product
Customization and Pricing Strategies,” JMIS,
v17, n2, 2000, 9-28. References: ·
Banker, Rajiv D., Inder
Khosla, and Kingshuk K. Sinha, “Quality and Competition,” Management Science, Vol. 44, No. 9,
September 1998, 1179-1192. ·
Chen, Pei-Yu, L. M.
Hitt, “Measuring Switching Costs and the Determinants of Customer Retention
in Internet-Enabled Businesses: A Study of the Online Brokerage Industry,” Information Systems Research, 13, 3, September
2002, 255-274. |
Assignment 2 1)
Find a
latest IT issue in the industry from the web and prepares a one-page story
description with a few online references (web links plus the article titles,
etc.) 2)
Find 3-4
relevant research papers on the theme of next week 3)
Summarize
one of the papers or the papers in the reading list for the next week
meeting. 4)
Exercises:
Gibbons pp48-49, 1.2, 1.5 |
|
Topic
3 - E-market & E-business |
Readings: ·
Gibbons:
pp29-50, mixed strategy Nash equilibrium ·
Microeconomics
review: Adverse selection; Moral hazard (handout available) ·
Akerlof, G. (1970). The Market for
“Lemons”: Quality Under Uncertainty and the Market Mechanism. Quarterly Journal of Economics, Vol.
84, 488-500. ·
Rahul Telang, Uday Rajan, Tridas
Mukhopadhyay, “Market Structure for Internet Search Engines”, JMIS, 21(2),
137-160, 2004. ·
Wang, Liz C; Baker, Julie; Wagner,
Judy A; Wakefield, Kirk, “Can a Retail Web Site Be Social?” Journal
of Marketing, Jul2007, Vol. 71 Issue 3, p143-157 ·
Lin, Z, and Jones, D. “Duopoly
Quality Competition of Online Services with IT Advancement,” working paper. References: ·
Yun Wan; Menon, Satya; Ramaprasad, Arkalgud, “A Classification of
Product Comparison Agents,” Communications of the ACM, Aug2007, Vol. 50 Issue
8, p65-71. ·
Karl R. Lang, Di Shang,
Roumen Vragov, “Designing Market for Open Source Production of Digital
Culture Goods,” ICEC 2007. |
Assignment 3 1)
Go
through all reading assignments for Topic 4. Carefully study one or two of the
papers in the reading list as the papers may be diversified in focuses or
research methodology. 2)
Summarize
the paper(s) you focused, with a comprehensive review of all relevant papers
you read. Also include 2-3 extra papers on the same theme to enrich your
summary. 3)
Prepare
for a presentation of 15 minutes covering the contents in your summary.
Identifying possible research problems is required but further extension is
optional. 4)
Exercises:
Gibbons pp50-51, 1.11, 1.12 Deliverables: Eco homework, summary, extra references, 15-minute presentation. |
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Topic
4 - Reputation Systems |
Readings: ·
Gibbons: pp55-82, dynamic game
with complete information ·
Microeconomics
review: Stackelberg model ·
Chrysanthos Dellarocas, “Research
Note - How Often Should Reputation Mechanisms - Update a Trader’s Reputation
Profile?,” Information Systems Research,
Vol. 17, No. 3, September 2006, pp. 271–285 ·
S. Tadelis, What's in a Name?
Reputation as a Tradeable Asset, American
Economic Review 89(3) (1999) 48-563. ·
Standifird, S. S. (2001).
Reputation and e-commerce: eBay auctions and the asymmetrical impact of
positive and negative ratings. Journal
of Management, 27(3), 279-295. ·
Yvonne Durham, Matthew R. Roelofs,
Stephen S. Standifird, “eBay’s Buy-It-Now Function: Who, When, and How,”
Topics in Economic Analysis & Policy, Volume 4, Issue 1 2004 Article 28 References: ·
Dawn G. Gregg and Judy
E. Scott, “The Role of Reputation Systems in Reducing On-Line Auction Fraud,”
International Journal of Electronic
Commerce, Spring 2006, Vol. 10, No. 3, pp. 95–120. ·
Fombrun, C., &
Shanley, M. (1990). What's in a Name? Reputation Building and Corporate
Strategy. Academy of Management Journal,
33(2), 233-258. ·
C. Dellarocas,
Digitization of Word-of-Mouth: Promise and Challenges of Online Feedback
Mechanisms, Management Science 49 (2003) 1407-1424. |
Assignment 4 1) Go through all reading assignments for Topic 5.
Carefully study one or two of the papers in the reading list as the papers
may be diversified in focuses or research methodology. 2) Summarize the paper(s) you focused, with a
comprehensive review of all relevant papers you read. Also include 2-3 extra
papers on the same theme to enrich your summary. 3) Prepare slides for a presentation of 15 minutes
covering the contents in your summary. Identifying possible research problems
is required but further extension is optional. 4) Exercises: Gibbons pp130, 2.1. Deliverables: Eco homework, summary, extra references, 15-minute presentation. |
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Topic
5 –Information System Integration & Information Technology Adoption |
Readings: ·
Gibbons: pp82-107, Repeated game ·
Siva Viswanathan, “Competing Across Technology-Differentiated
Channels: The Impact of Network Externalities and Switching Costs,” Management Science, Mar 2005. Vol. 51,
Iss. 3; pp483-496 ·
Jørgen P. Bansler, Jan Damsgaard,
Rens Scheepers, Erling Havn, and Jacob Thommese, “Corporate Intranet
Implementation: Managing Emergent Technologies and Organizational Practices,”
JAIS, Volume 1, Paper 10, December
2000 ·
Anne Beaudry and Alain
Pinsonneault, “Understanding User Responses to Information Technology: A
Coping Model of User Adaptation,”, MIS
Quarterly, Vol. 29 No. 3/September 2005, pp493-524 ·
Sung S. Kim, Naresh K. Malhotra,
“A Longitudinal Model of Continued IS Use: An Integrative View of Four
Mechanisms Underlying Postadoption Phenomena,” Management Science, Volume: 51, Number: 5., . May 2005, pp.
0741-0755. References: ·
Kirsch, L. J.,
“Deploying Common Systems Globally: The Dynamics of Control”, ISR, vol.15, issue 4. December 2004,
pp.374-395. ·
Barbara H. Wixom, Peter
A. Todd, “Theoretical Integration of User Satisfaction and Technology
Acceptance,” ISR, Vol. 16, No. 1,
March 2005, pp. 85–102 |
Assignment 5 1) Identify the research topic for your research
proposal. You may extend one of the topics you found for the previous
assignments. 2) Go through all reading assignments for Topic 6.
Carefully study one or two of the papers in the reading list as the papers
may be diversified in focuses or research methodology. 3) Summarize the paper(s) you focused, with a
comprehensive review of all relevant papers you read. Also include 2-3 extra
papers on the same theme to enrich your summary. 4) Prepare slides for a presentation of 15 minutes
covering the contents in your summary. Identifying possible research problems
is required but further extension is optional. 5) Exercises: Gibbons pp135, 2.11. Deliverables: Eco homework, summary, extra references, 15-minute presentation, one
research topic. |
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Topic
6 – Open Source and Knowledge Management |
Readings: ·
Katherine
J. Stewart, Anthony P. Ammeter, Likoebe M. Maruping, “Impacts of License Choice and Organizational
Sponsorship on User Interest and Development Activity in Open Source Software
Projects,” Information Systems Research,
Vol. 17, No. 2, June 2006, pp. 126–144 ·
Reina Y.
Arakji, and Karl R. Lang, “Digital Consumer Networks and Producer–Consumer
Collaboration: Innovation and Product Development in the Video Game
Industry,” Journal of Management Information Systems / Fall 2007, Vol. 24,
No. 2, pp. 199–224. ·
Wonseok
Oh, Sangyong Jeon, “Membership Herding and Network Stability in the Open
Source Community: The Ising Perspective,” Management
Science, Vol. 53, No. 7, July 2007, pp. 1086–1101 ·
Jack A.
Nickerson, Todd R. Zenger, “A Knowledge-Based Theory of the Firm—The
Problem-Solving Perspective,” Organization
Science, Vol. 15, No. 6, November–December 2004, pp. 617–632 ·
Maryam Alavi, Dorothy E. Leidner,
“Review: Knowledge Management and Knowledge Management Systems: Conceptual
Foundations and Research Issues,” MISQ
Vol. 25 No. 1, pp. 107-136/March 2001 References: ·
Adelaide Wilcox King, and Carl P. Zeithaml, “Measuring Organizational
Knowledge: A Conceptual and Methodological framework,” Strategic Management Journal, 24: 763–772 (2003) ·
Jerald Hughes, Karl R. Lang, Eric K. Clemons, |
Assignment 6 1) Refine your research proposal. 2) Go through all reading assignments for Topic 7.
Carefully study one or two of the papers in the reading list as the papers
may be diversified in focuses or research methodology. 3) Summarize the paper(s) you focused, with a
comprehensive review of all relevant papers you read. Also include 2-3 extra
papers on the same theme to enrich your summary. 4)
Choose a search engine to study the services it provides. Identify any
interesting research issues. Draft a one-page essay. References are required. 5) A few slides for a presentation of 15 minutes
covering the contents in your summary. Deliverables: Summary, extra references, 15-minute presentation. |
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Oct
12, 2007 |
University Fall Break |
The same as previous. |
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Topic
7 - Search Engine and Information Quality |
·
Liu, De, Xianjun Geng, and ·
Dirk Lewandowski, “Web searching, search engines and
Information Retrieval,” Information Services & Use 25 (2005), pp.137–147. ·
Feng, J., Bhargava, H. and Pennock, D. “Implementing
Sponsored Search in Web Search Engines: Computational Evaluation of
Alternative Mechanisms” INFORM Journal
on Computing, Vol. 19, No. 1, Winter 2007, pp. 137–148. ·
Morahan-Martin, Janet M., “How Internet Users Find, Evaluate,
and Use Online Health Information: A Cross-Cultural Review,” CyberPsychology
& Behavior, Oct2004, Vol. 7 Issue 5, pp.497-510. ·
Avrahami, Thi Truong, Lawrence Yau, Luo Si, and Jamie Callan,
“The FedLemur project: Federated search in the real world,” Journal of the
American Society for Information Science & Technology, Feb2006, Vol. 57
Issue 3, pp.347-358. References: ·
De Liu, and Jianqing Chen, “Designing online
auction with past performance information,” Decision Support Systems 42 (206)
1307-1320. ·
Johnson, Eric J.; Moe, Wendy W.; Fader, Peter S.;
Bellman, Steven; Lohse, Gerald L., “On the Depth and Dynamics of Online
Search Behavior,” Management Science, Mar2004, Vol. 50 Issue 3, p299-308 ·
Zwick, Rami; Rapoport, Amnon; Lo, Alison King
Chung; Muthukrishnan, A. V. “Consumer Sequential Search:Not Enough or Too
Much?” Marketing Science, Fall2003,
Vol. 22 Issue 4, p503-519 ·
Andreas I. Nicolaou, D. Harrison McKnight,
“Perceived Information Quality in Data Exchanges: Effects on Risk, Trust, and
Intention to Use,” Information Systems Research, Vol. 17, No. 4, December
2006, pp. 332–351 ·
Xing, B., and Lin, Z., “The Impact of Search
Engine Optimization on Online Advertising Market,” ICEC 2006 ·
Collier, Harry, and
Stephen E. Arnold, “Search
Engines: Evolution and diffusion,” January 31, 2003, ·
Bar-Ilan, Judit, “Web
Links and Search Engine Ranking: The Case of Google and the Query ‘Jew’,”
Journal of the American Society for Information
Science & Technology, Oct2006, Vol. 57 Issue 12, p1581-1589 ·
ACM EC’07 “Session 2:
The Price Is Right” ·
AMCIS “Business Intelligence” Session ·
ICEC 2007 Session M4:
Sponsored Search on the Internet I ·
ICEC 2007 Session M7:
Sponsored Search on the Internet II |
Assignment 7: 1) Refine your research proposal. 2) Go through all reading assignments for Topic 8.
Carefully study one or two of the papers in the reading list as the papers may
be diversified in focuses or research methodology. 3) Summarize the paper(s) you focused, with a
comprehensive review of all relevant papers you read. Also include 2-3 extra
papers on the same theme to enrich your summary. 4) A few slides for a presentation of 15 minutes
covering the contents in your summary. Deliverables: Summary, extra references, 15-minute presentation. |
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Proposal
discussion |
Assignment 8: Research proposal due |
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Topic
8 - Targeted Advertising Guest
speaker: Dr. Fatih Koksal, “Data mining in |
·
Wan-Shiou Yang and Jia-Ben Dia, “Discovering cohesive subgroups from social networks for targeted
advertising,” Expert Systems with Applications, In Press. ·
Chickering, D., and Heckerman, D., “Targeted Advertising on
the Web with Inventory Management,” INFORMS Journal of Interfaces, Vol. 33,
No. 5, September-October 2003, 71-77. ·
E. W. T. Ngai, “Selection of web sites for online advertising
using the ·
Lacerda, A., Cristo, M., Goncalves, A., Fan, W., Ziviani, N.,
and Ribeiro-Neto, B. “Learning to Advertise”, SIGIR , ·
Elia Zureik and Abbe Mowshowitz, “Consumer Power in the
Digital Society,” October 2005/Vol. 48, No. 10 COMMUNICATIONS OF THE ACM References: ·
Bruner, Rick E., “The
decade in Online Advertising 1994-2004,” April 2005, DoubleClick
white paper ·
eMarketer. “The
E-Mail Marketing Report,” eMarketer, January 2007, retrieved on
February 25, 2007 ·
Greenspan, R. “How
to cheat Google AdWords select. Site-Point,” December
2003. Retrieved on ·
Interactive Advertising Bureau, “IAB/PwC RELEASE
FOURTH-QUARTER AND FY 2006 INTERNET AD REVENUE FIGURES,” March 7,
2007. Retrieved on ·
Internet World Stats
(2007), retrieved on · ICEC2007 Session T5: Data Mining in E-Commerce I ·
ICEC2007 Session T8: Data Mining in E-Commerce II |
Assignment 9: 1) Go through all reading assignments for Topic 9.
Carefully study one or two of the papers in the reading list as the papers
may be diversified in focuses or research methodology. 2) Summarize the paper(s) you focused, with a
comprehensive review of all relevant papers you read. Also include 2-3 extra
papers on the same theme to enrich your summary. 3) A few slides for a presentation of 15 minutes
covering the contents in your summary. Deliverables: Summary, extra references, 15-minute presentation, the case of
recommendation system in one page. |
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Topic
9 - Recommendation Systems |
·
Nanda
Kumar, Izak Benbasat, “Research Note - The Influence of Recommendations and
Consumer Reviews on Evaluations of Websites,” Information Systems Research, Vol. 17, No. 4, December 2006, pp.
425–439 ·
Xiao, Bo
and Izak Benbasat, “E-Commerce Product Recommendation Agents: Use,
Characteristics, and Impact,” MIS
Quarterly, 31, 1, March 2007, 137-209. ·
Komiak,
Sherrie Y. X. and Izak Benbasat, “The Effects of Personalization and Familiarity
on Trust and Adoption of Recommendation Agents,” MIS Quarterly, 30, 4, December 2006, 941-960. ·
Bruce D.
Weinberga, Lenita Davis, “Exploring the WOW in online-auction feedback,” Journal of Business Research 58 (2005)
1609– 1621 ·
Miller,
Nolan; Resnick, Paul; Zeckhauser, Richard. “Eliciting Informative Feedback:
The Peer-Prediction Method,” Management
Science, Sep2005, Vol. 51 Issue 9, p1359-1373 References: ·
Zhiqiang Zheng;
Padmanabhan, Balaji (2006), “Selectively Acquiring Customer Information: A
New Data Acquisition Problem and an Active Learning-Based Solution,” Management Science, May2006, Vol. 52
Issue 5, p697-712 ·
Awad, Naveen Farag and
M. S. Krishnan, “The Personalization Privacy Paradox: An Empirical Evaluation
of Information Transparency and the Willingness to be Profiled Online for
Personalization,” MIS Quarterly,
30, 1, March 2006, 13-28. ·
ACM EC’07 “Session 4: Empirical Excursions” ·
ACM EC’07 “Session 6:
Recommended for People Like You” ·
ICEC2007 Session M3:
Recommender Systems |
Assignment 10: 1) Go through all reading assignments for Topic
10. Carefully study one or two of the papers in the reading list as the
papers may be diversified in focuses or research methodology. 2) Summarize the paper(s) you focused, with a
comprehensive review of all relevant papers you read. Also include 2-3 extra
papers on the same theme to enrich your summary. 3) A few slides for a presentation of 15 minutes
covering the contents in your summary. Deliverables: Summary, extra references, 15-minute presentation. |
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Topic
10 - Social Computing and Distributed Business Intelligence |
Readings: ·
Parameswaran,
Manoj, and Whinston, Andrew B. , “Research Issues in Social Computing,” Journal of the Association for Information
Systems; Jun2007, Vol. 8 Issue 6, p336-350. ·
Nobuyuki
Hanaki, Alexander Peterhansl, Peter S. Dodds, Duncan J. Watts, “Cooperation
in Evolving Social Networks,” Management
Science, Vol. 53, No. 7, July 2007, pp. 1036–1050 ·
Xiao-Bai
Li, Sumit Sarkar, “Privacy Protection in Data Mining: A Perturbation Approach
for Categorical Data,” Information
Systems Research, Vol. 17, No. 3, September 2006, pp. 254–270 ·
Nicos
Nicolaou, Sue Birley, “Social Networks in Organizational Emergence: The University
Spinout Phenomenon,” Management Science,
Vol. 49, No. 12, December 2003, pp. 1702–1725 ·
Bo Yang,
William K. Cheung, and Jiming Liu, “Community Mining from Signed Social
Networks,” IEEE Transactions on Knowledge and Data Engineering, V 19, N 10,
October 2007 References: ·
ACM EC’07 “Session 3:
Pass It On” |
Assignment 11: 1) Go through all reading assignments for Topic
11. Carefully study one or two of the papers in the reading list as the
papers may be diversified in focuses or research methodology. 2) Summarize the paper(s) you focused, with a
comprehensive review of all relevant papers you read. Also include 2-3 extra
papers on the same theme to enrich your summary. 3) A few slides for a presentation of 15 minutes
covering the contents in your summary and the virtual community case. Deliverables: Summary, extra references, 15-minute presentation, the case of virtual
community in one page. |
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Thanksgiving |
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Topic
11 – Virtual Community |
Readings: ·
Bin Gu, Prabhudev
Konana, Balaji Rajagopalan, Hsuan-Wei Michelle Chen, “Competition Among
Virtual Communities and User Valuation: The Case of Investing-Related
Communities,” Information Systems
Research, Vol. 18, No. 1, March 2007, pp. 68–85 ·
Sirkka
L. Jarvenpaa, Thomas R. Shaw, D. Sandy Staples, “Toward Contextualized
Theories of Trust: The Role of Trust in Global Virtual Teams,” Information Systems Research, Vol. 15,
No. 3, September 2004, pp. 250–267 ·
M. Lynne
Markus, Brook Manville, Carole E. Agres, “What makes a virtual organization
work?” Slogan Management Review,
Fall 2000 ·
Dahui
Li, Patrick Y.K. Chau, Hao Lou, “Understanding Individual Adoption of Instant
Messaging: An Empirical Investigation,” JAIS,
Vol. 6, No.4, pp.102-129/April 2005 Relevant websites: Second
Life, FaceBook, YouTube, LinkedIn References: ·
KAHNEMAN, Daniel and Amos TVERSKY, “Prospect
Theory: An Analysis of Decision under Risk”, Econometrica 47(2),
1979, 263-292. ·
AMCIS2007 “Impact of Virtual Communities” Session |
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December 7, 2007, Friday Final Exam |
Term Paper Presentation (9a-12p) 30 minutes presentation + 10 minutes discussion for each
student |
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December
11, 2007, Tuesday |
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Term paper/report due |