Modeling technology adoption in the hardwood sawmill

被引:0
|
作者
Bowe, Scott A.
Smith, Robert L.
机构
[1] Univ Wisconsin, Coll Agr & Life Sci, Dept Forest Ecol & Management, Russell Labs 120, Madison, WI 53706 USA
[2] Virginia Polytech Inst & State Univ, Coll Nat Resources, Dept Wood Sci & Forest Prod, Ctr Forest Prod Mkt & Management, Blacksburg, VA 24061 USA
来源
WOOD AND FIBER SCIENCE | 2006年 / 38卷 / 03期
关键词
hardwood sawmill; scanning; optimizing; technology; adoption; analytic; hierarchy; process;
D O I
暂无
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
This study examined the adoption decision process for scanning and optimizing technology in hardwood sawmills. Data were collected through personal interviews with two hardwood sawmill groups including those that had adopted advanced scanning and optimizing technology and those that had not adopted such technology. The interviewees rated the importance of decision factors in the adoption decision process. They also rated the influence of four sawmill departments on the adoption decision process. These data were compiled using the Analytic Hierarchy Process model. The initial premise that adopters of scanning and optimizing technology managed from a systems perspective was not found. When examining the influence of the four sawmill departments in the adoption decision process, technology adopters rated the production process more than two times higher than the next highest department. Non-adopters also rated the production process the highest; however, the overall rating of the four sawmill departments' influence was more evenly weighted in the non-adopter model.
引用
收藏
页码:484 / 496
页数:13
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