Applying cognitive mapping approach to explore the objective-structure of forest owners in a Northern Finnish case area

Forest Policy and Economics

Volumn 9, Issue 2, 2006, Pages 139-152

  Tikkanen, Jukka ^a   Isokääntä, Tarja ^a   Pykäläinen, Jouni ^b   Leskinen, Pekka ^b  

^a OULU UNIVERSITY OF APPLIED SCIENCES   (Finland)

^b FINNISH FOREST RESEARCH INSTITUTE   (Finland)

Author keywords

Cognitive mapping; Forest management; Forest planning; Private forestry; Qualitative study

Indexed keywords

COGNITIVE MAPPING; FOREST PLANNING; PRIVATE FORESTRY; QUALITATIVE STUDY;

COGNITIVE SYSTEMS; INFORMATION RETRIEVAL; STRATEGIC PLANNING;

FORESTRY;

FOREST MANAGEMENT; FORESTRY; INFORMATION RETRIEVAL; PLANNING;

EID: 34547794519     PISSN: 13899341     EISSN: None     Source Type: Book Series    
DOI: 10.1016/j.forpol.2005.04.001     Document Type: Article

References (43)

1. Ananda J., and Herath G. The use of analytic hierarchy process to incorporate stakeholder preferences into regional forest planning. Forest Policy and Economics 5 1 (2003) 13-26
2. Anon. SPSS Base 10.0 Application Guide (1999), SPSS Inc. Printed in the United States of America. 426 pp.
3. Appleyard D. Styles and methods of structuring a city. Environment and Behavior 2 (1970) 100-117
4. Banai R. Environmental cognition: contributions from the analytic hierarchy process towards construction of cognitive maps. In: Schmoldt D.L., Kangas J., Mendoza G.A., and Pesonen M. (Eds). The Analytic Hierarchy Process in Natural Resource and Environmental Decision-Making (2001), Kluwer Academic Publishers 149-166
5. Bitonti C. Cognitive mapping: a qualitative research method for social work. Social Work Research and Abstracts 29 1 (1993) 9-16
6. Bliss J.C., and Martin A.J. Identifying small-scale forest management motivations with qualitative methods. Forest Science 35 2 (1989) 601-622
7. Borg I., and Groenen P. Modern Multidimensional Scaling. Theory and Applications. Springer Series in Statistics (1997), Springer, New York
8. Borgatti, S.P., 1997. Multi dimensional scaling. Unpublished. http://www.analytictech.com/borgatti/mds.htm.
9. Eden C. Cognitive mapping. European Journal of Operational Research 36 (1988) 1-13
10. Eden C., and Ackermann F. Cognitive mapping expert views for policy analysis in the public sector. European Journal of Operational Research 152 (2004) 615-630
11. Eskola J., and Suoranta J. Johdatus laadulliseen tutkimukseen (2000), Vastapaino, Jyväskylä
12. Everitt B.S., and Rabe-Hesketh S. The analysis of proximity data. Kendall's Library of Statistics vol. 4 (1997) 178 pp.
13. In: Hjelmquist E., Sjöberg L., and Montgomery H. (Eds). Johdatus Kognitiiviseen Psykologiaan (1982), Gaudeamus, Vaasa
14. Hjortsø C. Enhancing public participation in natural resource management using Soft OR-an application of strategic option development and analysis in tactical forest planning. European Journal of Operational Research 152 (2004) 667-683
15. Hodginson G., Maule J., and Bown N. Causal cognitive mapping in the organizational strategy field: a comparison of alternative elicitation procedures. Organizational Research Methods 7 1 (2004) 3-26 (January)
16. Hugosson M., and Ingemarson F. Objectives and motivations of small-scale forest owners; theoretical modelling and qualitative assessment. Silva Fennica 38 2 (2004) 217-231
17. Johansson J.-E., Mattila M., and Uusikylä P. Johdatus verkostoanalyysiin. Kuluttajatutkimuskeskus. Menetelmäraportteja ja käsikirjoituksia vol. 3 (1995)
18. Johnson S.C. Hierarchical clustering schemes. Psychometrika 32 (1967) 241-253
19. Kangas J. Metsikön uudistamisketjun valinta-monitavoitteiseen hyötyteoriaan perustuva päätösanalyysimalli (1992), Joensuun yliopiston julkaisuja, Joensuu
20. Kangas J. A multi-attribute preference model for evaluating the reforestation chain in a forest stand. Forest Ecology and Management 59 (1993) 271-288
21. Kangas J., and Niemeläinen P. Opinion of forest owners and the public on forests and their use in Finland. Scandinavian Journal of Forest Research 11 (1996) 269-280
22. Karppinen H. Forest values and the objectives of forest ownership (dissertation). Metsäntutkimuslaitoksen tiedonantoja-Finnish Forest Research Institute. Research Papers 757 (2000) (55 pp. + 4 original papers)
23. Karppinen H., Hänninen H., and Ripatti P. Suomalainen metsänomistaja 2000. Metsäntutkimuslaitoksen Tiedonantoja (2002) 852
24. Kearney A., and Kaplan S. Towards methodology for the measurement of knowledge structures of ordinary people: the conceptual content cognitive map (3CM). Environment and Behavior 29 5 (1997) 579-618
25. Kearney A., Gordon B., Kaplan R., and Kaplan S. Stageholder perspectives on appropriate forest management in the Pacific Northwest. Forest Science 45 1 (1999) 62-73
26. Leskinen L.A. Purposes and challenges of public participation in regional and local forestry in Finland. Forest Policy and Economics 6 6 (2004) 605-618
27. Leskinen P., Leskinen L., and Tikkanen J. Assessing objectives of regional forest policy in Northern Finland. Scandinavian Journal of Forest Research 19 (2004) 180-190
28. Lynch K. The Image of the City (1960), M.I.T. Press, Cambridge
29. Lönnstedt L. Non-industrial private forest owners' decision process: a qualitative study about goals, time perspective, opportunities and alternatives. Scandinavian Journal of Forest Research 12 (1997) 302-310
30. Mau-Crimmins T., de Steiguer J.E., and Dennis D. AHP as a means for improving public participation: a pre-post experiment with university students. Forest Policy and Economics 7 4 (2005) 501-514
31. Mendoza G., and Prabhu R. Multiple criteria decision making using criteria and indicators: a case study. Forest Ecology and Management 131 (2000) 107-126
32. Mendoza G., and Prabhu R. Combining participatory modelling and multi-criteria analysis for community-based forest management. Forest Ecology and Management 207 1-2 (2005) 145-156
33. Mendoza G., Bare B., and Cambell G. Multiobjective programming for generating alternatives: a multiple-use planning example. Forest Science 33 2 (1987) 458-468
34. Montazemi A., and Conrath D. The use of cognitive mapping for information requirements analysis. MIS Quarterly/March 1986 (1986) 45-56
35. Paulhus D. Two-component models of socially desirable responding. Journal of Personality and Social Psychology 46 (1984) 598-609
36. Pukkala T. Methods to incorporate the amenity of landscape into forest management planning. Silva Fennica 22 2 (1988) 135-146
37. Pukkala T., and Kangas J. A heuristic optimization method for forest planning and decision making. Scandinavian Journal of Forest Research 8 (1993) 560-570
38. Pykäläinen J. Defining forest owner's forest-management goals by means of a thematic interview in interactive forest planning. Silva Fennica 34 1 (2000) 47-49
39. Pykäläinen J., Kangas J., and Loikkanen T. Interactive decision analysis in participatory strategic forest planning: experiences from state owned boreal forests. Journal of Forest Economics 5 3 (1999) 341-364
40. Pykäläinen J., Pukkala T., and Kangas J. Alternative priority models for forest planning on the landscape level involving multiple ownership. Forest Policy and Economics 2 3-4 (2001) 293-306
41. In: Schmoldt D.L., Kangas J., Mendoza G.A., and Pesonen M. (Eds). The Analytic Hierarchy Process in Natural Resource and Environmental Decision Making (2001), Kluwer Academic Publishers
42. Scott J. Social Network Analysis (1991), Sage, London
43. Sheetz S., Tegarden K., Kozar K., and Zigurs I. A group support system approach to cognitive mapping. Journal of Management Information Systems 11 1 (1994) 31-57