The cognitive selection framework for knowledge acquisition strategies in virtual communities

被引:34
作者
Kim, Junghwan [1 ]
Song, Jaeki [1 ]
Jones, Donald R. [1 ]
机构
[1] Texas Tech Univ, Area Informat Syst & Quantitat Sci, Rawls Coll Business Adm, Lubbock, TX 79409 USA
基金
新加坡国家研究基金会;
关键词
Knowledge transfer; Knowledge acquisition strategy; Virtual community; Social cognitive theory; Goal-setting theory; SELF-EFFICACY; PERFORMANCE; EXPERIENCE;
D O I
10.1016/j.ijinfomgt.2010.05.011
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
As a significant source of knowledge, virtual communities have stimulated interest in knowledge management research. Nonetheless, very few studies to date have examined the demand-side knowledge perspective such as knowledge acquisition in virtual communities. In order to explore the knowledge acquisition process within virtual communities, this study proposes the cognitive selection framework of knowledge acquisition strategy in virtual communities. The proposed framework takes a cognitive perspective, to identify how knowledge recipients select their strategy for acquiring specialized knowledge, emphasizing their cognitive goals (e.g., cognitive replication and innovation) and cognitive motivators (e.g., virtual community self-efficacy, heightened enjoyment, and time resources). Our results suggest that knowledge recipients' cognitive motivators differentially influence their cognitive goals (cognitive replication and innovation), which, in turn, are related to their selection of knowledge acquisition strategy (static and dynamic acquisition strategy), respectively. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:111 / 120
页数:10
相关论文
共 58 条
[11]  
Bandura A, 1986, Social Foundations of Thought and Action: A Social Cognitive Theory, DOI DOI 10.5465/AMR.1987.4306538
[12]   A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study [J].
Chin, WW ;
Marcolin, BL ;
Newsted, PR .
INFORMATION SYSTEMS RESEARCH, 2003, 14 (02) :189-217
[13]  
Chin WW, 1998, MIS QUART, V22, pVII
[14]  
Chin WW., 1998, Modern methods for business research, V295, P295, DOI [10.4324/9781410604385, DOI 10.4324/9781410604385]
[15]   Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories [J].
Chiu, Chao-Min ;
Hsu, Meng-Hsiang ;
Wang, Eric T. G. .
DECISION SUPPORT SYSTEMS, 2006, 42 (03) :1872-1888
[16]   Assessing knowledge structures: Relations with experience and posttraining performance [J].
Dorsey, DW ;
Campbell, GE ;
Foster, LL ;
Miles, DE .
HUMAN PERFORMANCE, 1999, 12 (01) :31-57
[17]   ORGANIZATION STRATEGY AND STRUCTURAL DIFFERENCES FOR RADICAL VERSUS INCREMENTAL INNOVATION [J].
ETTLIE, JE ;
BRIDGES, WP ;
OKEEFE, RD .
MANAGEMENT SCIENCE, 1984, 30 (06) :682-695
[18]   EVALUATING STRUCTURAL EQUATION MODELS WITH UNOBSERVABLE VARIABLES AND MEASUREMENT ERROR [J].
FORNELL, C ;
LARCKER, DF .
JOURNAL OF MARKETING RESEARCH, 1981, 18 (01) :39-50
[19]   EFFECTS OF ALTERNATIVE TRAINING METHODS ON SELF-EFFICACY AND PERFORMANCE IN COMPUTER SOFTWARE TRAINING [J].
GIST, ME ;
SCHWOERER, C ;
ROSEN, B .
JOURNAL OF APPLIED PSYCHOLOGY, 1989, 74 (06) :884-891
[20]   Knowledge sourcing methods [J].
Gray, PH ;
Meister, DB .
INFORMATION & MANAGEMENT, 2006, 43 (02) :142-156