Scholarly communities of research in multiple criteria decision making: A bibliometric research profiling study

International Journal of Information Technology and Decision Making

Volumn 11, Issue 2, 2012, Pages 401-426

  Bragge, Johanna ^a   Korhonen, Pekka ^a   Wallenius, Hannele ^b   Wallenius, Jyrki ^a  

^a HELSINKI SCHOOL OF ECONOMICS   (Finland)

^b AALTO UNIVERSITY   (Finland)

Author keywords

bibliometrics; Multiple criteria decision making; research profiling; text mining

Indexed keywords

EID: 84862059779     PISSN: 02196220     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219622012400081     Document Type: Article

References (55)

1. A. L. Porter, A. Kongthon and J. C. Lu, Research profiling: Improving the literature review, Scientometrics 53(3) (2002) 351-370.
2. J. Wallenius, J. S. Dyer, P. C. Fishburn, R. E. Steuer, S. Zionts and K. Deb, Multiple criteria decision making, multiattribute utility theory: Recent accomplishments and what lies ahead, Management Science 54(7) (2008) 1336-1349.
3. J. Bragge, P. Korhonen, H. Wallenius and J. Wallenius, Bibliometric analysis of MCDM/MAUT, in MCDM for Sustainable Energy and Transportation Systems, eds. M. Ehrgott, B. Naujoks, T. J. Stewart and J. Wallenius (Springer, Berlin, 2010), pp. 259-268.
4. R. E. Steuer, L. Gardiner and J. Gray, A bibliographical survey of the activities and international nature of multiple criteria decision making, Journal of Multi-Criteria Decision Analysis 5 (1996) 195-217.
5. B. Urli and R. Nadeau, Evolution of multi-criteria analysis: A scientometric analysis, Journal of Multi-Criteria Decision Analysis 8 (1999) 31-43.
6. F. Edgeworth, Mathematical Psychics: An Essay on the Application of Mathematics to the Moral Sciences (McMaster University Archive for the History of Economic Thought, 1881).
7. V. Pareto, Manual of Political Economy (Macmillan, New York, 1906).
8. N. Condorcet, Essay on the Application of Analysis to the Probability of Majority Decisions (Bibliotheque National de France, 1785).
9. M. Köksalan, J. Wallenius and S. Zionts, Multiple Criteria Decision Making. From Early History to the 21st Century (World Scientific Publishing, Singapore, 2011).
10. F. P. Ramsey, Truth and probabilty, in The Foundations of Mathematics and Other Logical Essays, ed. R. B. Braithwaite (Routledge and Kegan, London, 1931), pp. 156-198
11. P. Samuelson, A note on the pure theory of consumers' behaviour, Economica 5 (1938) 61-71.
12. J. Von Neumann and O. Morgenstern, Theory of Games and Economic Behavior (Princeton University Press, 1944).
13. G. Debreu, Theory of Value: An Axiomatic Analysis of Economic Equilibrium (Yale University Press, 1959).
14. W. Edwards, The theory of decision making, Psychological Bulletin 41 (1954) 380-417.
15. W. Edwards, Behavioral decision theory, Annual Review of Psychology 12 (1961) 473-498.
16. A. Tversky and D. Kahneman, Prospect theory: An analysis of decision under risk, Econometrica 47(2) (1979) 263-292.
17. H. A. Simon, A behavioral model of rational choice, Quarterly Journal of Economics 69(1) (1955) 99-118.
18. A. Wierzbicki, Basic properties of scalarizing functionals for multiobjective optimization, Mathematische Operationsforschung und Statistik 8(1) (1977) 55-60.
19. D. Luce and H. Raiffa, Games and Decisions: Introduction and Critical Survey (Wiley, New York, 1957).
20. R. Howard, Decision analysis: Applied decision theory, Fourth Int. Conf. Operational Research (Wiley-Interscience, 1966), pp. 55-71.
21. H. Raiffa, Decision Analysis, Introductory Lectures on Choices under Uncertainty (Addison Wesley, Reading, Massachusetts, 1968).
22. H. Raiffa and R. Schlaifer, Applied Statistical Decision Theory (Harvard University Press, Boston, 1961).
23. G. Dantzig, Programming in a Linear Structure (Comptroller, USAF, Washington DC, 1948).
24. T. C. Koopmans, Analysis of production as an efficient combination of activities, in Activity Analysis of Production and Allocation, ed. T. C. Koopmans (Physica, Heidelberg, 1951).
25. A. Charnes, W. W. Cooper and R. O. Ferguson, Optimal estimation of executive compensation by linear programming, Management Science 1 (1955) 138-151.
26. A. Charnes and W. W. Cooper, Management Models and Industrial Applications of Linear Programming (Wiley, New York, 1961).
27. T.-P. Hong, C.-Y. Wang and C.-W. Lin, Providing timely updated sequential patterns in decision making, International Journal of Information Technology and Decision Making 9(6) (2010) 873-888.
28. Y. Peng, G. Kou, Y. Shi and Z. Chen, A descriptive framework for the field of data mining and knowledge discovery, International Journal of Information Technology and Decision Making 7(4) (2008) 639-682.
29. D. Delen and M. D. Crossland, Seeding the survey and analysis of research literature with text mining, Expert Systems with Applications 34 (2010) 1701-1720.
30. W. W. Hood and C. S. Wilson, The literature of bibliometrics, scientometrics, and informetrics, Scientometrics 52(2) (2001) 291-314.
31. S. Raghuram, P. Tuertscher and R. Garud, Mapping the field of virtual work: A cocitation analysis, Information Systems Research 21(4) (2009) 983-999.
32. H. A. Schildt, S. A. Zahra and A. Sillanpää, Scholarly communities in entrepreneurship research: A co-citation analysis, Entrepreneurship Theory & Practice 30 (2006) 399-415.
33. J. Mingers and F. Xu, The drivers of citations in management science journals, European Journal of Operational Research 205 (2010) 422-430.
34. R. J. Watts and A. L. Porter, Mining conference proceedings for corporate technology knowledge management, International Journal of Innovation and Technology Management 4(2) (2007) 103-119.
35. H. A. Simon, The New Science of Management Decision (Harper and Row, New York, NY, 1960).
36. A. L. Porter and S. W. Cunningham, Tech Mining. Exploiting New Technologies for Competitive Advantage (John Wiley & Sons, Hoboken, New Jersey, 2005).
37. Y. Yang, L. Akers, T. Klose and C. Barcelon Yang, Text mining and visualization tools - Impressions of emerging capabilities, World Patent Information 30(4) (2008) 280-293.
38. T. Saaty, The Analytic Hierarchy Process (McGraw Hill, New York, 1980).
39. B. Roy, Classement et choix en pr-esence de points de vue multiples (la m-ethode ELECTRE), La Revue d'Informatique et de Recherche Op-erationelle 8 (1968) 57-75 (in French).
40. P. Korhonen and J. Wallenius, Pareto race, Naval Research Logistics 35 (1988) 615-623.
41. ANEP, (Agencia Nacional de Evaluación y Prospectiva), Nueva Clasificación Tem-atica, Spanish Ministry of Education (2004).
42. S. Stremersch, I. Verniers and P. C. Verhoef, The quest for citations: Drivers of article impact, Journal of Marketing 71 (2007) 171-193.
43. R. Clarke, An exploratory study of information systems researcher impact, Communications of the Association for Information Systems 22(1) (2008) 1-32.
44. F. Franceshini and D. A. Maisano, Analysis of the Hirsch index's operational properties, European Journal of Operational Research 203 (2010) 494-504.
45. R. Keeney and H. Raiffa, Decisions with Multiple Objectives: Preferences and Value Tradeoffs (Wiley, New York, 1976).
46. P. C. Fishburn, Decision and Value Theory (Wiley, New York, 1964).
47. P. C. Fishburn, Utility Theory for Decision Making (Wile, New York, 1970).
48. R. R. Yager, On ordered weighted averaging aggregation operators in multicriteria decisionmaking, IEEE Transactions on Systems, Man and Cybernetics 18(1) (1988) 183-190.
49. J. P. Evans and R. E. Steuer, A revised simplex method for linear multiple objective programs, Mathematical Programming 5(1) (1973) 54-72.
50. P. L. Yu and M. Zeleny, The set of all nondominated solutions in linear cases and a multicriteria simplex method, Journal of Mathematical Analysis and Applications 49 (1975) 430-468.
51. A. Geoffrion, J. Dyer and A. Feinberg, An interactive approach for multicriterion optimization with an application to the operation of an academic department, Management Science 19 (1972) 357-368.
52. S. Zionts and J. Wallenius, An interactive programming method for solving the multiple criteria problem, Management Science 22(6) (1976) 652-663.
53. L. Zadeh, Fuzzy sets, Information and Control 8 (1965) 338-353.
54. J. D. Schaffer, Some experiments in machine learning using vector evaluated genetic algorithms, Ph.D. thesis, Vanderbilt University, Nashville, Tennessee (1984).
55. N. Srinivas and K. Deb, Multi-objective function optimization using non-dominated sorting genetic algorithms, Evolutionary Computation 2 (1994) 221-248.