不同场景微信群的知识共享影响差异研究——基于ERGMs模型
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摘要
以社会资本理论为基础,研究结构资本、关系资本、认知资本对工作、学习和生活微信群内部显性、隐性知识共享的影响差异,并借助指数随机图模型(ERGMs)对其进行实证研究。研究表明,工作场景下,影响隐性知识共享的关键因素是个体中心性、互动关系强度、认同、互惠和信任;影响显性知识共享的关键因素是个体中心性、认同、互惠、信任和共同语言。学习场景下,影响隐性知识共享的关键因素是个体中心性、认同、互惠和信任;影响显性知识共享的关键因素是个体中心性、互动关系强度、互惠、信任和共同语言。生活场景下,影响隐性知识共享的关键因素是互动关系强度、认同、信任和共同语言;影响显性知识共享的关键因素是信任和共同语言。
This paper researched the effects of structural capital, relational capital and cognitive capital on the explicit and tacit knowledge sharing within the work, learning and living WeChat group based on the theory of social capital by random graph model(ERGMs).The results show that the key factors affecting tacit knowledge sharing in the work scene are individual centricity, interaction intensity, identity, reciprocity and trust. The key factors that affect explicit knowledge sharing in the work scene are individual centrality, identity, reciprocity, trust, and common language. The key factors affecting tacit knowledge sharing in learning scenes are individual centrality, identity, reciprocity and trust. The key factors that affect explicit knowledge sharing in learning scenarios are individual centrality, interaction intensity, reciprocity, trust and common language. The key factors that affect the sharing of tacit knowledge in life scenes are the intensity of interaction, identity, trust and common language. Trust and common language are the key factors that affect explicit knowledge sharing in life situations.
This paper researched the effects of structural capital, relational capital and cognitive capital on the explicit and tacit knowledge sharing within the work, learning and living WeChat group based on the theory of social capital by random graph model(ERGMs).The results show that the key factors affecting tacit knowledge sharing in the work scene are individual centricity, interaction intensity, identity, reciprocity and trust. The key factors that affect explicit knowledge sharing in the work scene are individual centrality, identity, reciprocity, trust, and common language. The key factors affecting tacit knowledge sharing in learning scenes are individual centrality, identity, reciprocity and trust. The key factors that affect explicit knowledge sharing in learning scenarios are individual centrality, interaction intensity, reciprocity, trust and common language. The key factors that affect the sharing of tacit knowledge in life scenes are the intensity of interaction, identity, trust and common language. Trust and common language are the key factors that affect explicit knowledge sharing in life situations.
引文
[1]PANAHI S,WATSON J,PARTRIDGE H.Conceptualizing social media support for tacit knowledge sharing:physicians’ perspectives and experiences[J].Journal of Knowledge Management,2016,20(2):344-363.
[2]腾讯科技.腾讯2018年上半年总收入1472亿元同比增长39% [EB/OL].腾讯网,(2018-08-15)[2018-12-03].http://tech.qq.com/a/20180815/054575.htm.
[3]HUTCHINGS K,MICHAILOVA S .Facilitating knowledge sharing in Russian and Chinese subsidiaries:the role of personal networks and group membership[J].2004,8(2):84-94.
[4]CHOW C W,DENG F J,HO J L.The openness of knowledge sharing within organizations:a comparative study of the United States and the People’s Republic of China[J].Journal of Management Accounting Research,2000,12(1):65-95.
[5]ZHANG Q,CHINTAKOVID T,SUN X,et al.Saving face or sharing personal information?A cross-cultural study on knowledge sharing[J].Journal of Information &Knowledge Management,2006,5(1):73-79.
[6]赵大丽,孙道银,张铁山.社会资本对微信朋友圈用户知识共享意愿的影响研究[J].情报理论与实践,2016,39(3):102-107.
[7]张生太,刘露露.社会资本对微信群用户知识共享意愿的影响[J].科研管理,2018,39(10):108-119.
[8]SENGE P.Sharing knowledge[J].Executive Excellence,1997,14(11):1-18.
[9]NONAKA I.A dynamic theory of organizational knowledge creation[J].Organization Science,1994,5(1):14-35.
[10]PANAHI S,WATSON J,PARTRIDGE H.Conceptualizing social media support for tacit knowledge sharing:physicians’ perspectives and experiences[J].Journal of Knowledge Management,2016,20(2):344-363.
[11]孙道银,宋维翔.社会资本对知识共享意愿影响的实证研究[J].情报杂志,2012,31(6):125-128.
[12]张敏,吴郁松,霍朝光.科研团队显性知识和隐性知识共享意愿影响因素的对比分析[J].图书馆学研究,2016(13):90-97.
[13]徐芳,瞿静.基于社交网络的隐性知识共享模式构建[J].情报理论与实践,2018,41(3):68-72,94.
[14]BOURDIE P.The forms of social capital handbook of theory and research for sociology of education[M].Westport:CT Greenwood Press,1986.
[15]NAHAPIET J,GHOSHAL S.Social capital,intellectual capital,and the organizational advantage[J].The Academy of Management Review,1998,23(2):242-266.
[16]林南,俞弘强.社会网络与地位获得[J].马克思主义与现实,2003,21(2):46-59.
[17]NETTLETON D F,SALAS,JULIAN.A data driven anonymization system for information rich online social network graphs[J].Expert Systems with Applications,2016,55(8):87-105.
[18]MPINGANJIRA,MERCY.Precursors of trust in virtual health communities:a hierarchical investigation[J].Information & Management,2018,55(6):686-694.
[19]AHUJA M K,CARLEY G K M.Individual centrality and performance in virtual R&D groups:an empirical study[J].Management Science,2003,49(1):21-38.
[20]王芳,杨晶晶.社会资本对公务员知识共享影响的实证研究[J].情报学报,2013,32(7):742-751.
[21]TSENG F C,KUO F Y.A study of social participation and knowledge sharing in the teachers' online professional community of practice[J].Computers & Education,2014,72:37-47.
[22]LEFEBVRE V M,SORENSON D,HENCHION M,et al.Social capital and knowledge sharing performance of learning networks[J].International Journal of Information Management,2016,36(4):570-579.
[23]HAU Y S,KIM B,LEE H,et al.The effects of individual motivations and social capital on employees’ tacit and explicit knowledge sharing intentions[J].International Journal of Information Management,2013,33(2):356-366.
[24]刘良灿,张同健.组织隐性知识转移的演化博弈:基于互惠性企业环境[J].技术经济与管理研究,2011(2):38-41.
[25]AHUJA M K,CARLEY G K M .Individual centrality and performance in virtual R&D groups:an empirical study[J].Management Science,2003,49(1):21-38.
[26]ABBOTT S,FREETH D.Social capital and health:starting to make sense of the role of generalized trust and reciprocity[J].Journal of Yangtze University,2014,13(7):874-883.
[27]HOLLAND P,SAMUEILEINHARDT.An exponential family of probability distributions for directed graphs[J].Publications of the American Statistical Association,1981,76(373):18.
[28]PATTISON P,WASSERMAN S.Logit models and logistic regressions for social networks:II multivariate relations[J].Psychometrika,2011,52(2):169-193.
[29]ROBINS G,PATTISON P ,KALISH Y ,et al.An introduction to exponential random graph (p *) models for social networks[J].Social Networks,2007,29(2):173-191.
[30]HUNTER D R,HANDCOCK M S,BUTTS C T,et al.Ergm:a package to fit,simulate and diagnose exponential-family models for networks[J].Journal of Statistical Software,2008,24(3):54-60.
[31]CHIU C M,WANG E T G,FU-JONG SHIH,et al.Understanding knowledge sharing in virtual communities[J].Decision Support Systems,2011,42(3):1872-1888.
[32]BOCK G W,ZMUD R W,KIM Y G,et al.Behavioral intention formation in knowledge Sharing:examining the roles of extrinsic motivators,social-psychological forces,and organizational climate[J].Mis Quarterly,2005,29(1):87-111.
[33]CHURCHILL G A,PETER J P.Research design effects of the reliability of rating scales:a meta-analysis[J].Journal of Marketing Research,1984,21:360-375.
[34]邱皓政.结构方程模型的原理与应用[M].北京:中国轻工业出版社,2009.
[35]高倩,佐斌.主我分享:人际吸引研究的新发展[J].心理科学,2009,32(2):391-393.
[36]PINEL E C,LONG A E,LANDAU M J,et al.Seeing I to I:a pathway to interpersonal connectedness[J].Journal of Personality and Social Psychology,2006,90(2):243-257.
[37]SHUMATEM,PALAZZOLO E T.Exponential random graph (＼r,p*＼r,)models as a method for social network analysis in communication research[J].Communication Methods and Measures,2010,4(4):341-371.
[2]腾讯科技.腾讯2018年上半年总收入1472亿元同比增长39% [EB/OL].腾讯网,(2018-08-15)[2018-12-03].http://tech.qq.com/a/20180815/054575.htm.
[3]HUTCHINGS K,MICHAILOVA S .Facilitating knowledge sharing in Russian and Chinese subsidiaries:the role of personal networks and group membership[J].2004,8(2):84-94.
[4]CHOW C W,DENG F J,HO J L.The openness of knowledge sharing within organizations:a comparative study of the United States and the People’s Republic of China[J].Journal of Management Accounting Research,2000,12(1):65-95.
[5]ZHANG Q,CHINTAKOVID T,SUN X,et al.Saving face or sharing personal information?A cross-cultural study on knowledge sharing[J].Journal of Information &Knowledge Management,2006,5(1):73-79.
[6]赵大丽,孙道银,张铁山.社会资本对微信朋友圈用户知识共享意愿的影响研究[J].情报理论与实践,2016,39(3):102-107.
[7]张生太,刘露露.社会资本对微信群用户知识共享意愿的影响[J].科研管理,2018,39(10):108-119.
[8]SENGE P.Sharing knowledge[J].Executive Excellence,1997,14(11):1-18.
[9]NONAKA I.A dynamic theory of organizational knowledge creation[J].Organization Science,1994,5(1):14-35.
[10]PANAHI S,WATSON J,PARTRIDGE H.Conceptualizing social media support for tacit knowledge sharing:physicians’ perspectives and experiences[J].Journal of Knowledge Management,2016,20(2):344-363.
[11]孙道银,宋维翔.社会资本对知识共享意愿影响的实证研究[J].情报杂志,2012,31(6):125-128.
[12]张敏,吴郁松,霍朝光.科研团队显性知识和隐性知识共享意愿影响因素的对比分析[J].图书馆学研究,2016(13):90-97.
[13]徐芳,瞿静.基于社交网络的隐性知识共享模式构建[J].情报理论与实践,2018,41(3):68-72,94.
[14]BOURDIE P.The forms of social capital handbook of theory and research for sociology of education[M].Westport:CT Greenwood Press,1986.
[15]NAHAPIET J,GHOSHAL S.Social capital,intellectual capital,and the organizational advantage[J].The Academy of Management Review,1998,23(2):242-266.
[16]林南,俞弘强.社会网络与地位获得[J].马克思主义与现实,2003,21(2):46-59.
[17]NETTLETON D F,SALAS,JULIAN.A data driven anonymization system for information rich online social network graphs[J].Expert Systems with Applications,2016,55(8):87-105.
[18]MPINGANJIRA,MERCY.Precursors of trust in virtual health communities:a hierarchical investigation[J].Information & Management,2018,55(6):686-694.
[19]AHUJA M K,CARLEY G K M.Individual centrality and performance in virtual R&D groups:an empirical study[J].Management Science,2003,49(1):21-38.
[20]王芳,杨晶晶.社会资本对公务员知识共享影响的实证研究[J].情报学报,2013,32(7):742-751.
[21]TSENG F C,KUO F Y.A study of social participation and knowledge sharing in the teachers' online professional community of practice[J].Computers & Education,2014,72:37-47.
[22]LEFEBVRE V M,SORENSON D,HENCHION M,et al.Social capital and knowledge sharing performance of learning networks[J].International Journal of Information Management,2016,36(4):570-579.
[23]HAU Y S,KIM B,LEE H,et al.The effects of individual motivations and social capital on employees’ tacit and explicit knowledge sharing intentions[J].International Journal of Information Management,2013,33(2):356-366.
[24]刘良灿,张同健.组织隐性知识转移的演化博弈:基于互惠性企业环境[J].技术经济与管理研究,2011(2):38-41.
[25]AHUJA M K,CARLEY G K M .Individual centrality and performance in virtual R&D groups:an empirical study[J].Management Science,2003,49(1):21-38.
[26]ABBOTT S,FREETH D.Social capital and health:starting to make sense of the role of generalized trust and reciprocity[J].Journal of Yangtze University,2014,13(7):874-883.
[27]HOLLAND P,SAMUEILEINHARDT.An exponential family of probability distributions for directed graphs[J].Publications of the American Statistical Association,1981,76(373):18.
[28]PATTISON P,WASSERMAN S.Logit models and logistic regressions for social networks:II multivariate relations[J].Psychometrika,2011,52(2):169-193.
[29]ROBINS G,PATTISON P ,KALISH Y ,et al.An introduction to exponential random graph (p *) models for social networks[J].Social Networks,2007,29(2):173-191.
[30]HUNTER D R,HANDCOCK M S,BUTTS C T,et al.Ergm:a package to fit,simulate and diagnose exponential-family models for networks[J].Journal of Statistical Software,2008,24(3):54-60.
[31]CHIU C M,WANG E T G,FU-JONG SHIH,et al.Understanding knowledge sharing in virtual communities[J].Decision Support Systems,2011,42(3):1872-1888.
[32]BOCK G W,ZMUD R W,KIM Y G,et al.Behavioral intention formation in knowledge Sharing:examining the roles of extrinsic motivators,social-psychological forces,and organizational climate[J].Mis Quarterly,2005,29(1):87-111.
[33]CHURCHILL G A,PETER J P.Research design effects of the reliability of rating scales:a meta-analysis[J].Journal of Marketing Research,1984,21:360-375.
[34]邱皓政.结构方程模型的原理与应用[M].北京:中国轻工业出版社,2009.
[35]高倩,佐斌.主我分享:人际吸引研究的新发展[J].心理科学,2009,32(2):391-393.
[36]PINEL E C,LONG A E,LANDAU M J,et al.Seeing I to I:a pathway to interpersonal connectedness[J].Journal of Personality and Social Psychology,2006,90(2):243-257.
[37]SHUMATEM,PALAZZOLO E T.Exponential random graph (＼r,p*＼r,)models as a method for social network analysis in communication research[J].Communication Methods and Measures,2010,4(4):341-371.