Journal of Korean Society of Rural Planning (농촌계획)

Korean Society of Rural Planning (한국농촌계획학회)
권호 표지

Interconnected Characteristics of Innovation Networks of Farmers Employing Ranked Logit Model

순위형 로짓모형을 이용한 농업인의 혁신네트워크 연계 특성

  • Published : 2007.12.30
Download PDF
⟨ Previous Next ⟩

Abstract

This study analyzed the probability that experiment stations, agricultural technology and extension centers, provincial agricultural research and extension services, central government organs, or civilian and other related organs will be the first choice of the compositional subjects of local innovation networks. While gender effect was statistically insignificant, educational level, income, main acquired information, sources of necessary information, and frequency of information acquisition sessions were significant, and the preference ranking model was highly relevant. According to the analysis, highly academic and business-related information was most likely to be acquired from the civilian sector; agricultural technology such as technology, crops/plants, storage, and circulation was most likely to be acquired from experiment stations and provincial agricultural research and extension services; and information on agricultural production was most likely to be acquired from agricultural technology centers.

Keywords

References

  1. 강현수. (2006). 지역혁신체제 구축에 있어서 국책 연구기관의 역할에 관한 연구, 한국지역지리학회지 12(1): 108-123
  2. 김경미, 고운미. (2005). 여성농업인의 역할유형별 영농의사결정 참여실태, 농업교육과 인적자원개발 37(3): 47-64
  3. 김동주. (2005) 참여정부의 주요 국정과제 추진현황과 전망(1): 국가균형발전의 비전과 전략, 국토 279: 6-17
  4. 김용웅 등. (2003). 지역발전론, 서울: 한울아카데미
  5. 김인중, 김영수, 김선배. (2001). 지식기반경제에서의 지역혁신체계 구축모형, 산업연구원
  6. 농림부. (2002). 농업정보 응용기반 구축에 관한 연구
  7. 류승호. (1996). CMC와 정보서비스와의 상관관계에 대한 정책적 접근, 한국정책학회보 5(2): 161-180
  8. 민동규, 김혜정. (2004). 관광정보 웹사이트 서비스 요인분석에 관한 연구: 지방자치단체 관광정보 웹사이트를 중심으로, 관광정보연구 17: 113-143
  9. 오익근, 최재화. (1999). 광역자치단체의 홈페이지 관광정보 구성체계, 한국관광학회 제45차 학술연구발표회 주제발표 논문집
  10. 이경진. (2005). 농촌지역자원에 기반한 산업의 생산 및 혁신 네트워크에 관한 연구, 서울대학교 대학원 석사학위논문
  11. 이춘우, 유홍섭, 김성국, 유용환, 박종욱. (2006). 농업정보 전달매체 및 농업언 선호정보 조사, 한국국제농업개발학회지 18: 40-42
  12. 임업. (2005). 지식외부효과의 공간적 특성과 지속가능한 지역혁신체제의 구축, 국토 284: 100-108
  13. 최병익, 위오기, 이규대. (1995). 충청남도의 농업정보사스템의 구축에 관한 연구, 한국국제지역사회개발학회 5: 7-35
  14. Allen, B. L. (1994). Cognitive abilities and information system usability, Information Processing and Management 30(2): 177-191 https://doi.org/10.1016/0306-4573(94)90063-9
  15. Allen, B. L. (1996). Information Tasks: Toward a User-centered Approach to Information System, San Diego: Academic Press
  16. Allison, P. D. (1999). Comparing Logit and Probit Coefficient across Groups, Sociological Methods & Research 28(2) : 186-208 https://doi.org/10.1177/0049124199028002003
  17. Allison, P. D., & Christakis, N. A. (1994). Logit Models for Sets of Ranked Items, Sociological Methodology 24 : 199-228 https://doi.org/10.2307/270983
  18. Antonelli, C. (2000). ColIective knowledge communication and innovation: The evidence of technological districts, Regional Studies 34(6): 535-548 https://doi.org/10.1080/00343400050085657
  19. Asheim, B. & Isaksen, A. (1997). Location, agglomeration and innovation: Towards regional innovation systems in Norway?, European Planning Studies 5(3): 299-231 https://doi.org/10.1080/09654319708720402
  20. Asheim, B. & Isaksen, A. (2002). Regional Innovation Systems: the integration of local 'sticky' and global 'ubiquitous' knowledge, Journal of Technology Transfer 27: 77-86 https://doi.org/10.1023/A:1013100704794
  21. Barry, C. L. (1994). User defined relevance criteria: An exploratory study, Journal of the American Society for Information System 45(3): 149-159 https://doi.org/10.1002/(SICI)1097-4571(199404)45:3<149::AID-ASI5>3.0.CO;2-J
  22. Basch, R. (1993). Secrets of the super searchers: Planning search strategies, Online 17(5): 52-54
  23. Belkin, N. J. (1984). Cognitive models and information transfer, Social Science Information Studies 4: 111-129 https://doi.org/10.1016/0143-6236(84)90070-X
  24. Belkin, N. J., Oddy, R. N. & Brooks, H. M. (1982). ASK for information retrieval: Part 1, Background and theory, Journal of Documentation 38: 61-71 https://doi.org/10.1108/eb026722
  25. Bellardo, T. (1985). An investigatin of online searcher traits and their relationship to serach outcome, Journal of the American Society for Information Science 36(4): 241-250 https://doi.org/10.1002/asi.4630360404
  26. DeBresson, C. & Amesse, F. (1991). Networks of innovators: A review and introduction to the issue, Research Policy 20(5): 363-379 https://doi.org/10.1016/0048-7333(91)90063-V
  27. Doloreux, D. (2002). What We should Konw about Regional Systems of Innovation, Technology in Society 24: 243-263 https://doi.org/10.1016/S0160-791X(02)00007-6
  28. Dosi, G. (1988). The nature of the innovative process. In Dosi, G.(Eds.), Technical Change & Economic Theory, London: Pinter
  29. Drehen, M. J. & Guthrie, J. T. (1990). Cognitive processes in textbook chapter search tasks, Reading Research Quarterly 25(4): 323-339 https://doi.org/10.2307/747694
  30. Edquist, C. (1997). Introduction: Systems of Innovation Approaches-Their Emergence and Characteristics, In Edquist, C.(Eds.), Systems of Innovation, London: Pinter
  31. Fidel, R. (1997). User-centered approach to the design of information systems: Change as Challenging Opportunity, In An International Seminar and Lectures on the User-centered Information Systems, Seoul: KIST
  32. Grant, R. M. (1996). Toward a knowledge-based theory of the firm, Strategic Management Journal 17: 109-122 https://doi.org/10.1002/(SICI)1097-0266(199602)17:2<109::AID-SMJ796>3.0.CO;2-P
  33. Guthrie, J. T., Weber, S. & Kimmerly, N. (1993). Searching document: Cognitive processes and deficits in understanding graphs, tables, and illustrations, Contemporary Educatiional Psychology 18(2): 186-221 https://doi.org/10.1006/ceps.1993.1017
  34. Hauknes, J. (2001). Innovation styles in agro-food production in Norway. In OECD, Innovative Clusters: Drivers of National Innovation Systems
  35. Kaimowitz, D. (1990). Making the Link: Agricultural Research and Technology Transfer in Developing Countries, London: Westview Press
  36. Kline, S. J. & Rosenberg, N. (1986). An Overview of Innovation. In Nelson, R., Silverberg, G. & Soete, L.(Eds.), The Positive Sum Strategy, Washington: National Academy Press
  37. Latta, G. F. & Swigger, K. (1992). Validation of the repertory grid for use in modeling knowledge, Journal of the American Society for information Science 43(2): 115-129 https://doi.org/10.1002/(SICI)1097-4571(199203)43:2<115::AID-ASI2>3.0.CO;2-I
  38. Lundvall, B. A. (1992). National System of Innovation: Toward? a Theory of Innovation and Interactive Learning, London: Pinter
  39. Marchionini, G. (1992). Interfaces for end-user information seeking, Journal of the Amercan Society for Information Science 43(2): 156-163 https://doi.org/10.1002/(SICI)1097-4571(199203)43:2<156::AID-ASI8>3.0.CO;2-U
  40. McFadden, D. (1974). Conditional Logit Analysis of Qualitative Choice Behavior, In Zarembka, P.(Eds.), Frontiers in Economics, Academic Press
  41. McFadden, D. (1976). Quantal Choice Analysis : A Survey, Annals of Economics and Social Measurement 5: 363-390
  42. McFadden, D. (1980). Econometric Models for Probabilistic Choice among Products, Journal of Business 53(3): 513-529
  43. McKelvey, M. (1997). Using Evolutionary Theory to Define Systems of Innovation, In Edquist, C.(Eds.), Systems of Innovation, London: Pinter
  44. Moulaert, F. & Sekia, F. (2002). Territorial Innovation Models: A Critical Survey, Regional Studies 37(3): 289-302 https://doi.org/10.1080/0034340032000065442
  45. Murdoch, J. (2000). Networks: a new paradigm of rural development?, Journal of Rural Studies 16: 407-419 https://doi.org/10.1016/S0743-0167(00)00022-X
  46. Norman, D. A. & Draper, S. W. (1986). User Centered System Design: New Perspectives on Human-Computer Interaction, Hillsdale, NJ: Lawrence Erlbaum
  47. OECD. (2005). Oslo Manual: Guidelines for Collecting and Interpreting Innovation Data, Paris: OECD
  48. Paivio, A. (1990). Mental representations: A dual coding approach, NY: Oxford
  49. Pezzini, M. (2002). Cultivating Regional Development: Main Trends and Policy Challenges in OECD Regions, In An International conference on Regional Development and Foreign Direct Investment in Fortaleza, Brazil
  50. Rogers, E. M. (2003). Diffusion of Innovations, New York: Free Press
  51. Salomon, M. L. & Engel, P. G. H. (1997). Networking for Innovation, Royal Tropical Institute-Amsterdam
  52. Savolainen, R. (1993). The sense-making theory: reviewing the interests of a user-centered approach to information seeking and use, Information Processing & Management 29(1): 13-28 https://doi.org/10.1016/0306-4573(93)90020-E
  53. Stein, J. A. (1981). Irradiation-related thyroid cancer: influencing the health behaviour of high risk individual through mass media and a telephone Information service, Paper presented to the American Association for Cancer Education, San Diego
  54. Todtling, F. & Kaufmann, A. (1999). Innovation Systems in Regions of Europe: A Comparative Perspective. European Planning Studies 7(6): 699-717 https://doi.org/10.1080/09654319908720549
  55. Tenopir, C., Nahl-Jakobovits, D. & Howard, D. L. (1991). Strategies and assessments ments online: Novices' experience, Library and Information Science Research 13(3): 237-266
  56. Walther, J. B. (1992). Interpersonal effects in computer mediated interaction: A relational perspective, Communication Research 19(1): 52-90 https://doi.org/10.1177/009365092019001003
  57. Watters, C. & Shepherd, M. A. (1994). Shifting the information paradigm from data-centered to user-centered, Information Processing & Management 30(4): 455-471 https://doi.org/10.1016/0306-4573(94)90034-5
  58. Wersig, G. & Windel, G. (1985). Information sciences needs a theory of 'information actions', Social Science Information Studies 5: 11-23 https://doi.org/10.1016/0143-6236(85)90003-1
  59. Wilson, T. D. (1984). The cognitive approach to information-seeking behaviour and information use, Social Science Information Studies 4: 197-204 https://doi.org/10.1016/0143-6236(84)90076-0
  60. Wilson, T. D. (1997). Information behaviour: An Interdisciplinary perspective, Information Processing & Management 33(4): 551-572 https://doi.org/10.1016/S0306-4573(97)00028-9