Is the lack of keyword synergism inhibiting maturation in the mis theory? An exploratory perspective

Information Processing and Management

Volumn 34, Issue 2-3, 1998, Pages 325-339

  Gorla, Narasimhaiah ^a,b   Walker, Gary ^a  

^a CLEVELAND STATE UNIVERSITY   (United States)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATABASE SYSTEMS; INDEXING (OF INFORMATION); INFORMATION ANALYSIS;

KEYWORD SEARCH; SYNERGISM;

MANAGEMENT INFORMATION SYSTEMS;

EID: 0032017076     PISSN: 03064573     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0306-4573(97)00068-X     Document Type: Article

References (16)

1. Acton, P. (1986). Indexing is not classifying and vice versa. ARMA Records Management Quarterly, 20(3), 10-15.
2. Barki, H., Rivard, S., & Talbot, J. (1988). An informational systems keyword classification scheme. MIS Quarterly, 12(2), 299-322.
3. Barki, H., Rivard, S., & Talbot, J. (1993). A keyword classification scheme for IS research literature: An update. MIS Quarterly, 17(2), 209-226.
4. Ensor, P. (1992). User practices in keyword and boolean searching on an on-line public access catalog. Information Technology and Libraries, 11(3), 210-219.
5. Garland, K. (1983). An experiment in automatic hierarchical document classification, Information Processing and Management, 79(3), 113-120.
6. Golden,. S. U., & Golden, G. A. (1983). Access to periodicals: Search key versus keyword. Information Technology and Libraries, 2(1), 26-32.
7. Gomez, L. M., Lochbaum, C. C., & Landauer, T. K. (1990). All the right words. Finding what you want as a function of richness of indexing vocabulary. ASIS, 47(8), 547-559.
8. Larson, R. R. (1991). The decline of subject searching: Long term trends and patterns of index use in an online catalog. Journal of the ASIS, 42(3), 197-215.
9. Lennon, M., Peirce, D. S., Tarry, B., & Willett, P. (1981). An evolution of some conflation algorithms for information retrieval. Journal of Information Science Principles and Practice, 3(4), 177-183.
10. Li, W. (1992). Random texts exhibit Zipf's-law-like word frequency distribution. IEEE Transactions on Information Theory, 38, 1842-1845.
11. Miller, G. A., Newman, E. B., & Friedman, E. A. (1958). Length-frequency statistics for written English. Information and Control, 1, 370-389.
12. Olsgaard, J. N., & Evans, J. E. (1981). Improving keyword indexing. Journal of the American Society for Information Sciences, 32(1), 71-72.
13. Stanely, M. H. R, Buldyrev, S. V., Halvin, S., Mantegna, R. N., Salinger, M. A., & Stanely, E. H. (1995). Zipf's plots and the size distribution of firms. Economic Letters, 49, 453-457.
14. Suessmuth, P. (1986). Information retrieval. Finding that lost article. Public Personnel Management, 75(4), 429-441.
15. Turner, G. B. (1997). Relationship between vocabulary, text length and Zipf's law. http://www.btinternet.com/ ∼ g.r.turner/ZipfDoc.html, pp. 1-20.
16. Zipf, G. K. (1949). Human behavior and the principle of least effort. Reading, MA: Addison-Wesley.