Affordances for sharing domain-specific and complex knowledge on enterprise social media

被引:98
|
作者
Pee, L. G. [1 ]
机构
[1] Nanyang Technol Univ, Singapore, Singapore
关键词
Willingness to share knowledge; Enterprise social media; Knowledge complexity; Knowledge specificity; Cross-domain knowledge sharing; MANAGEMENT; ORGANIZATIONS; COLLABORATION; MOTIVATIONS; PERFORMANCE; TECHNOLOGY; NETWORKS; BEHAVIOR; WORK;
D O I
10.1016/j.ijinfomgt.2018.05.006
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
Many organizations have implemented enterprise social media (ESM) to better connect employees and promote knowledge sharing. Prior studies indicate that employees often use ESM to access knowledge in other domains or complex knowledge. But connecting employees is only part of the picture - while ESM offer the possibility of accessing domain specific and complex knowledge, the flow of such knowledge might remain inhibited by the perceived effort required to codify them for sharing. This study identifies salient ESM affordances that can alleviate the perceived effort of sharing domain-specific and complex knowledge. Results of a survey of 303 employees working in organizations using ESM indicate that domain-specific knowledge is perceived as less effortful to codify when the affordance of visibility is strong (i.e., the affordance negatively moderates the positive relationship between knowledge specificity and perceived codification effort), and complex knowledge is perceived as less effortful to codify when the affordances of association and editability are strong. These findings indicate that it is necessary to consider both knowledge attributes and ESM affordances and their interactions when understanding knowledge sharing using ESM.
引用
收藏
页码:25 / 37
页数:13
相关论文
共 50 条
  • [41] Enterprise social media and knowledge creation capability: a comparison between pre- and post-COVID-19 pandemic
    Dai, Jing
    Xu, Dong
    Shao, Jinan
    Lim, Jia Jia
    Shangguan, Wuyue
    INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 2024, 124 (04) : 1413 - 1436
  • [42] Knowledge sharing through enterprise social network (ESN) systems: motivational drivers and their impact on employees' productivity
    Aboelmaged, Mohamed Gamal
    JOURNAL OF KNOWLEDGE MANAGEMENT, 2018, 22 (02) : 362 - 383
  • [43] To share or not to share: the effects of extrinsic and intrinsic motivations on knowledge-sharing in enterprise social media platforms
    Rode, Henning
    JOURNAL OF INFORMATION TECHNOLOGY, 2016, 31 (02) : 152 - 165
  • [44] Mathematical expertise: the role of domain-specific knowledge for memory and creativity
    Meier, Michaela A.
    Gross, Franz
    Vogel, Stephan E.
    Grabner, Roland H.
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [45] Domain-specific prior knowledge and learning: A meta-analysis
    Simonsmeier, Bianca A.
    Flaig, Maja
    Deiglmayr, Anne
    Schalk, Lennart
    Schneider, Michael
    EDUCATIONAL PSYCHOLOGIST, 2022, 57 (01) : 31 - 54
  • [46] KPMG Knowledge Management and the Next Phase: Using Enterprise Social Media
    O'Leary, Daniel E.
    JOURNAL OF EMERGING TECHNOLOGIES IN ACCOUNTING, 2016, 13 (02) : 215 - 230
  • [47] Enterprise social media usage and knowledge hiding: a motivation theory perspective
    Ma, Liang
    Zhang, Xin
    Ding, Xiaoyan
    JOURNAL OF KNOWLEDGE MANAGEMENT, 2020, 24 (09) : 2149 - 2169
  • [48] A Model Construction for Investigating the Impact of Enterprise Social Media Affordances on Employees' Perceived Creativity
    Sun, Yuan
    Wang, Chunli
    Jeyaraj, Anand
    Nie, Kun
    PROCEEDINGS OF NINETEENTH WUHAN INTERNATIONAL CONFERENCE ON E-BUSINESS, 2020, : 388 - 389
  • [49] "Maybe we can work together": researchers' outcome expectations for sharing knowledge on social media
    Alshahrani, Hussain
    Pennington, Diane
    GLOBAL KNOWLEDGE MEMORY AND COMMUNICATION, 2021, 70 (4-5) : 377 - 398
  • [50] Knowledge Sharing Through Social Media and its Impact on Student Creativity
    Arif, Muhammad
    Nunes, Miguel Baptista
    Qaisar, Nasim
    Kanwal, Saima
    PROCEEDINGS OF THE 20TH EUROPEAN CONFERENCE ON KNOWLEDGE MANAGEMENT (ECKM 2019), VOLS 1 AND 2, 2019, : 60 - 68