A multi-attribute, multi-weight clustering approach to managing "e-mail overload"

Decision Support Systems

Volumn 42, Issue 3, 2006, Pages 1350-1365

  Schuff, David ^a   Turetken, Ozgur ^a   D'Arcy, John ^b  

^a TEMPLE UNIVERSITY   (United States)

^b TOWSON UNIVERSITY   (United States)

Author keywords

Clustering; Electronic mail; Empirical study; Information overload

Indexed keywords

ELECTRONIC MAIL; HIERARCHICAL SYSTEMS; MULTI AGENT SYSTEMS; PROCESS ENGINEERING; SYSTEMS ANALYSIS; USER INTERFACES;

INFORMATION OVERLOADS; MULTI ATTRIBUTE CLUSTERING; MULTI WEIGHT CLUSTERING; SYSTEM DEVELOPMENT;

DATA HANDLING;

EID: 33750478685     PISSN: 01679236     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dss.2005.11.003     Document Type: Article

References (49)

1. Applegate L.M., Klein G., Konsynski B.R., and Nunamaker J.F. Model management systems: proposed model representations and future designs. Proceedings From the 6th International Conference on Information Systems (1985), Association for Information Systems, Atlanta, Georgia
2. Ashcraft M.H. Human Memory And Cognition (1989), Scott, Foresman and Co., Glenview, IL
3. Balter O., and Sidner C.L. Bifrost Inbox Organizer: giving users control over the inbox. Proceedings of the Second Nordic Conference on Human-Computer Interaction (2002), ACM Press, New York, New York 111-118
4. Barnfield E. 2003: Year of internal communication?. Strategic Communication Management 7 1 (2002) 3-4
5. Benbasat I., and Todd P. The effects of decision support and task contingencies on model formulation: a cognitive perspective. Decision Support Systems 17 4 (1996) 241-252
6. Blackwell D. Comparison of experiments. Proceedings of the Second Berkeley Symposium on Mathematical Statistics and Probability (1951), University of California Press, Berkeley, Los Angeles, CA 93-102
7. Chen H., Nunamaker J., Orwig R., and Titkova O. Information visualization for collaborative computing. IEEE Computer 31 8 (1998) 75-82
8. Chen H., Schuffels C., and Orwig R. Internet categorization and search: a self-organizing approach. Journal of Visual Communication and Image Representation 7 1 (1996) 88-102
9. Collins A.M., and Quillian M.R. Retrieval time from semantic memory. Journal of Learning and Verbal Behavior 8 (1969) 240-247
10. Cranor L., and LaMacchia B. Spam!. Communications of the ACM 41 8 (1998) 74-83
11. Davis F.D. Perceived usefulness, perceived ease of use, and user acceptance of information technology. Management Information Systems Quarterly 13 3 (1989) 319-340
12. Davidhizar R., and Shearer R. A dilemma of modern technology: managing e-mail overload. Hospital Material Management Quarterly 21 3 (2000) 42-47
13. DeLone W.H., and McLean E.R. Information system success: the quest for the dependent variable. Information Systems Research 3 1 (1992) 60-95
14. Denning P. The profession of IT. Communications of the ACM 45 3 (2002) 15-18
15. Everitt B. Cluster Analysis (1974), Heineman Educational Books, London
16. Gordon M., Slade L., and Schmitt N. The 'Science of the Sophomore' revisited: from conjecture to empiricism. Academy of Management Review 11 1 (1986) 191-207
17. Gottlieb L., and Dilevko J. Investigating how individuals conceptually and physically structure file folders for electronic bookmarks: the example of the financial services industry. Journal of the American Society for Information Science and Technology 54 2 (2003) 124-139
18. Grisé M., and Gallupe R.B. Information overload: addressing the productivity paradox in face-to-face electronic meetings. Journal of Management Information Systems 16 3 (2000) 157-185
19. Hart S., and Staveland L. Development of NASA-TLX: results of empirical and theoretical research. In: Hancock P., and Meshkati N. (Eds). Advances in Psychology (1988), North Holland, Amsterdam 139-184
20. Hearst M., and Pedersen P. Reexamining the cluster hypothesis: scatter/gather on retrieval results. Proceedings of the 1996 Conference on Research and Development in Information Retrieval (1996), Zurich, Switzerland
21. Hiltz S.R., and Turoff M. Structuring computer-mediated communication systems to avoid information overload. Communications of the ACM 28 7 (1985) 680-689
22. G. Johnston, We've got mail: 60 billion daily, PCWorld.com (Accessed March 30, 2005). Available at http://www.pcworld.com/resource/printable/article/0,aid,105525,00.asp.
23. Kraut R., Sunder S., Morris J., Cronin M., and Filer D. Markets for attention: Will postage for email help?. ACM Conference Proceedings on Computer Supported Cooperative Work (2002), ACM Press, New York, NY 206-215
24. Kushmerick N., and Lau T. Automated email activity management: an unsupervised learning approach,. Proceedings of the 10th international conference on intelligent user interfaces (2005), ACM Press, New York, NY 67-74
25. Mackenzie M. The personal organization of electronic mail messages in a business environment: an exploratory study. Library and Information Science Research 22 4 (2000) 405-426
26. Mackenzie M. Storage and retrieval of e-mail in a business environment: an exploratory study. Library and Information Science Research 24 3 (2002) 357-372
27. Mandler G. Organization in memory. In: Spence K.W., and Spence J.T. (Eds). The Psychology of Learning and Motivation (1967), Academic Press, New York, NY 327-372
28. Marakas G. Decision Support Systems in the 21st Century (2003), Prentice Hall, Upper Saddle River, New Jersey
29. Miller G.A. Information input overload. In: Yovits M.C., Jacobi G.T., and Goldstein G.D. (Eds). Proceedings of the Conference on Self-Organizing Systems (1962), Spartan Books, Washington
30. Mock K. An experimental framework for email categorization and management. Proceedings of the 24th Annual ACM International Conference on Research and Development in Information Retrieval (2001), ACM Press, New York, NY 392-393
31. Orwig R.E., Chen H., and Nunamaker J. A graphical, self-organizing approach to classifying electronic meeting output. Journal of the American Society for Information Science 48 2 (1997) 157-170
32. Pirolli P., Schank P., Hearst M., and Diehl C. Scatter/gather browsing communicates the topic structure of a very large text collection. Proceedings of the Conference on Human Factors in Computing Systems (1996), ACM Press, New York, NY
33. Plouffe C., Hulland J., and Vandenbosch M. Research report: richness versus parsimony in modeling technology adoption decisions-understanding merchant adoption of a smart card-based payment system. Information Systems Research 12 2 (2001) 208-222
34. Quillian M.R. Semantic memory. In: Minsky M. (Ed). Semantic Information Processing (1968), The MIT Press, Cambridge, MA 227-270
35. Roussinov D.G., and Chen H. Document clustering for electronic meetings: an experimental comparison of two techniques. Decision Support Systems 27 1-2 (1999) 67-79
36. Roussinov D.G., and Chen H. Information navigation on the web by clustering and summarizing query results. Information Processing and Management 37 6 (2001) 789-817
37. Roussinov D.G., and Zhao J.L. Automatic discovery of similarity relationships through web mining. Decision Support Systems 35 1 (2003) 149-166
38. Sack W. Conversation map: an interface for very large-scale conversations. Journal of Management Information Systems 17 3 (2000) 73-92
39. Salton G. Automatic Text Processing: The Transformation, Analysis, and Retrieval of Information by Computer (1989), Addison-Wesley, Reading, MA
40. Schultze U., and Vandenbosch B. Information overload in a groupware environment: now you see it, now you don't. Journal of Organizational Computing and Electronic Commerce 8 2 (1998) 127-148
41. Spangler S., Kreulen J.T., and Lessler J. Generating and browsing multiple taxonomies over a document collection. Journal of Management Information Systems 19 4 (2003) 191-212
42. Speier C., and Morris M.G. The influence of query interface design on decision-making performance. Management Information Systems Quarterly 27 3 (2003) 397-423
43. Taylor S., and Todd P. Understanding information technology usage: a test of competing models. Information Systems Research 6 2 (1995) 144-176
44. Todd P., and Benbasat I. The use of information in decision making: an experimental investigation of the impact of computer based decision aids. Management Information Systems Quarterly 16 3 (1992) 373-393
45. Turetken O., and Sharda R. Development of a fisheye-based information search processing aid (FISPA) for managing information overload in the web environment. Decision Support Systems 37 3 (2004) 415-434
46. van Rijsbergen C. Information Retrieval. 2nd Edition (1979), Butterworths, London
47. Vivisimo Corporation, Clustering Engine-Introduction, (Accessed March 30, 2005) Available at http://vivisimo.com/products/Clustering_Engine/Introduction.html.
48. Wang S. A synthesis of natural language, semantic networks, and objects for business process modeling. Canadian Journal of Administrative Sciences 14 1 (1997) 79-92
49. Whittaker S., and Sidner C. Email overload: exploring personal information management of email. Proceedings of the ACM SIGCHI conference on Human factors in computing systems (1996), ACM Press, New York, NY 276-283