近期因疫情流行的影響下，許多企業陸續採用科技工具媒介作為組織內部溝通與分享知識管道，員工於虛擬社群中進行知識分享行為的議題也被學者廣泛地討論。透過文獻回顧了解，目前國內研究針對虛擬社群大多聚焦在網路社群行銷等領域。然而，使用虛擬社群的過程中，員工知識分享行為展現是否會受到環境與個人內心信念所影響為本研究目的。有鑑於此，本研究從個人與環境的角度進行檢視員工虛擬社群意識、知識分享自我效能及知識分享行為之間的關係，並進一步檢驗知識分享自我效能是否具有中介效果？以知識密集型產業中在組織內部參與虛擬社群且持續與成員進行互動之正職工作者作為受試對象，資料搜集採用問卷調查法，總計回收有效問卷242份進行編碼，經由信效度分析、相關分析及多元迴歸分析等統計分析方法，檢驗虛擬社群意識、知識分享自我效能、知識分享行為間的關聯性，研究結果發現：一、虛擬社群意識對知識分享自我效能具有正向關係；二、虛擬社群意識對知識分享行為具有正向關係；三、知識分享自我效能對知識分享行為具有正向關係；四、知識分享自我效能在虛擬社群意識對知識分享行為之間的關係具部分中介效果。研究結果可提供職場上運用虛擬社群進行知識分享時，虛擬社群意識和知識分享自我效能對員工行為之影響，作為後續研究的重要參考。

In recent years, many businesses have adopted technological tools and media as a means of internal communication and knowledge sharing in response to the impact of the pandemic. The topic of individual employees' knowledge sharing within virtual communities has also been extensively discussed by scholars. Through a literature review, researchers have found that current domestic studies on virtual communities mainly focus on areas such as online community marketing, with limited exploration of collaboration and knowledge sharing among organizational members on internal social media platforms. In light of this, this study aims to investigate the relationship between employees' sense of virtual community, knowledge-sharing self-efficacy, and knowledge-sharing behavior. Furthermore, it seeks to examine whether knowledge-sharing self-efficacy acts as a mediator. The study intends to examine this from the perspectives of individuals and their environment, focusing on full-time employees in knowledge-intensive industries who actively participate in and interact with members of virtual communities within their organizations. The data collection will be conducted through a questionnaire survey. Statistical analysis like reliability and validity analysis, correlation analysis, and multiple regression analysis were utilized to analyze a total of 242 valid questionnaires. Findings from this research: (1) sense of virtual community has a positive relationship with knowledge-sharing self-efficacy; (2) sense of virtual community has a positive relationship with knowledge-sharing behavior; (3) knowledge-sharing self-efficacy has a positive relationship with knowledge-sharing behavior; (4) knowledge-sharing self-efficacy partially mediates the relationship between sense of virtual community and knowledge-sharing behavior. The results of this study contribute to our understanding of the influence of a sense of virtual community and knowledge-sharing self-efficacy on employee behavior in the context of knowledge-sharing within virtual communities in the workplace, providing valuable insights for future study.

吳明隆、涂金堂(2011)。SPSS與統計應用分析。五南。
胡雅惠（2010）。從社會認知理論的觀點探討專業虛擬社群中影響知識分享行為的因素〔未出版之碩士論文〕。長庚大學資訊管理學系。取自https://hdl.handle.net/11296/c8ywfv
陳頴仲（2014）。網路口碑對購買意圖之影響-虛擬社群意識之調節角色〔未出版之碩士論文〕。國立臺北大學資訊管理研究所。取自https://hdl.handle.net/11296/9ma35d
黃士齊（2014）。信任關係、知識分享意圖及知識分享行為關聯性研究-以創新組織氣候為調節變數〔未出版之碩士論文〕。國立成功大學企業管理學系。取自https://hdl.handle.net/11296/w6b429
藍仁澤（2012）。大學生網路知識分享行為與自我效能、虛擬社群意識與控制信念之相關研究〔未出版之碩士論文〕。淡江大學教育科技學系。取自https://hdl.handle.net/11296/698b23
Abbas, A., Zhou, Y., Deng, S., & Zhang, P. (2018). Text analytics to support sense-making in social media: A language-action perspective. MIS Quarterly, 42(2), 427-464.https://doi.org/10.25300/MISQ/2018/13239
Abfalter, D., Zaglia, M. E., & Mueller, J. (2012). Sense of virtual community: A follow up on its measurement. Computers in Human Behavior, 28(2), 400-404. https://doi.org/https://doi.org/10.1016/j.chb.2011.10.010
Ardichvili, A., Page, V., & Wentling, T. (2003). Motivation and barriers to participation in virtual knowledge‐sharing communities of practice. Journal of Knowledge Management, 7(1), 64-77. https://doi.org/10.1108/13673270310463626
Argote, L., & Ingram, P. (2000). Knowledge transfer: A basis for competitive advantage in firms. Organizational Behavior and Human Decision Processes, 82(1), 150-169. https://doi.org/10.1006/obhd.2000.2893
Avci, U., & Ergun, E. (2018). Knowledge Sharing Self-Efficacy, Motivation and Sense of Community as Predictors of Knowledge Receiving and Giving Behaviors. Journal of Educational Technology & Society, 21(3), 60-73. http://www.jstor.org/stable/26458507
Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94. https://doi.org/10.1177/009207038801600107
Bandura, A. (1977). Self-efficacy: toward a unifying theory of behavioral change. Psychological Review, 84(2), 191-215. https://doi.org/10.1037/0033-295X.84.2.191
Bandura, A. (1978). The self-system in reciprocal determinism. American Psychologist, 33(4), 344-358. https://doi.org/10.1037/0003-066X.33.4.344
Bandura, A. (1986). Social foundations of thought and action: A social-cognitive theory. Prentice Hall. http://dx.doi.org/10.4135/9781446221129.n6
Bandura, A. (1989). Human agency in social cognitive theory. American Psychologist, 44(9), 1175-1184. https://doi.org/10.1037/0003-066X.44.9.1175
Bandura, A., Freeman, W. H., & Lightsey, R. (1997). Self-Efficacy: The Exercise of Control. Journal of Cognitive Psychotherapy,13(2), 158-166. https://doi.org/10.1891/0889-8391.13.2.158
Baron, R. M., &Kenny, D. A. (1986). The moderator—mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality & Social Psychology,51,1173–1182. https://doi.org/10.1037/0022-3514.51.6.1173
Baxter, G. (2015). Social Media in Organizations. John Wiley & Sons, Inc. https://doi.org/10.1002/9781118767771.wbiedcs025
Bhagat, R. S., Kedia, B. L., Harveston, P. D., & Triandis, H. C. (2002). Cultural variations in the cross-border transfer of organizational knowledge: An integrative framework. Academy of Management Review, 27(2), 204-221. https://doi.org/10.5465/amr.2002.6588000
Blanchard, A. L. (2007). Developing a sense of virtual community measure. CyberPsychology & Behavior, 10(6), 827-830. https://doi.org/10.1089/cpb.2007.9946
Blanchard, A. L. (2008). Testing a model of sense of virtual community. Computers in Human Behavior, 24(5), 2107-2123. https://doi.org/10.1016/j.chb.2007.10.002
Blanchard, A. L., & Markus, M. L. (2004). The experienced" sense" of a virtual community: Characteristics and processes. ACM Sigmis Database: the database for advances in information systems, 35(1), 64-79. https://doi.org/10.1145/968464.968470
Bock, G.W., Zmud, R. W., Kim, Y.G., & Lee, J.N. (2005). Behavioral Intention Formation in Knowledge Sharing: Examining the Roles of Extrinsic Motivators, Social-Psychological Forces, and Organizational Climate. MIS Quarterly, 29(1), 87-111. https://doi.org/10.2307/25148669
Bradfield, D., & Gao, J. (2007). A methodology to facilitate knowledge sharing in the new product development process. International Journal of Production Research, 45(7), 1489-1504. https://doi.org/10.1080/00207540600942227
Bryman, A. & Cramer, D. (1997) Quantitative Data Analysis with SPSS for Windows: A Guide for Social Scientists. Routledge Publishing Company. https://doi.org/10.4324/9780203498187
Cai, Y., & Shi, W. (2022). The influence of the community climate on users’ knowledge-sharing intention: the social cognitive theory perspective. Behaviour & Information Technology, 41(2), 307-323. https://doi.org/10.1080/0144929X.2020.1808704
Cai, Z., Huang, Q., Liu, H., & Wang, X. (2018). Improving the agility of employees through enterprise social media: The mediating role of psychological conditions. International Journal of Information Management, 38(1), 52-63. https://doi.org/https://doi.org/10.1016/j.ijinfomgt.2017.09.001
Carmeli, A., Gelbard, R., & Reiter‐Palmon, R. (2013). Leadership, creative problem‐solving capacity, and creative performance: The importance of knowledge sharing. Human Resource Management, 52(1), 95-121. https://doi.org/10.1002/hrm.21514
Chavis, D. M., Lee, K. S., & Acosta, J. D. (2008,June 5). The sense of community (SCI) revised: The reliability and validity of the SCI-2. Paper presented at the 2nd International Community Psychology Conference, Lisboa, Portugal.
Chen, C.J., & Hung, S.W. (2010). To give or to receive? Factors influencing members’ knowledge sharing and community promotion in professional virtual communities. Information & Management, 47(4), 226-236. https://doi.org/https://doi.org/10.1016/j.im.2010.03.001
Chen, S.C., & Lin, C.P. (2019). Understanding the effect of social media marketing activities: The mediation of social identification, perceived value, and satisfaction. Technological Forecasting and Social Change, 140, 22-32. https://doi.org/https://doi.org/10.1016/j.techfore.2018.11.025
Chen, S.S., Chuang, Y.W., & Chen, P.Y. (2012). Behavioral intention formation in knowledge sharing: Examining the roles of KMS quality, KMS self-efficacy, and organizational climate. Knowledge-Based Systems, 31, 106-118. https://doi.org/https://doi.org/10.1016/j.knosys.2012.02.001
Chen, Y.J., Chen, Y.M., & Wu, M.S. (2012). An empirical knowledge management framework for professional virtual community in knowledge-intensive service industries. Expert Systems with Applications, 39(18), 13135-13147. https://doi.org/10.1016/j.eswa.2012.05.088
Chi, C. W., Lieu, P. T., Hung, K., & Cheng, H. W. (2016). Do industry or firm effects drive performance in Taiwanese knowledge-intensive industries? Asia Pacific Management Review, 21(3), 170-179. https://doi.org/10.1016/j.apmrv.2016.05.001
Chow, W. S., & Chan, L. S. (2008). Social network, social trust and shared goals in organizational knowledge sharing. Information & Management, 45(7), 458-465. https://doi.org/https://doi.org/10.1016/j.im.2008.06.007
Constant, D., Sproull, L., & Kiesler, S. (1996). The kindness of strangers: The usefulness of electronic weak ties for technical advice. Organization Science, 7(2), 119-135. https://doi.org/10.1287/orsc.7.2.119
Davenport, T., & Prusak, L. (1998). Working Knowledge: How Organizations Manage What They Know. Harvard Business Press. https://doi.org/10.1145/348772.348775
Dondi, M., Klier, J., Panier, F., & Schubert, J. (2021, June 25). Defining the Skills Citizens Will Need in the Future World of Work. McKinsey&Company. https://www.mckinsey.com/industries/public-and-social-sector/our-insights/defining-the-skills-citizens-will-need-in-the-future-world-of-work
Druker, P. (1993). Post-capitalist society. HarperBusiness.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.1177/002224378101800104
Ghobadi, S., & D’Ambra, J. (2013). Modeling high-quality knowledge sharing in cross-functional software development teams. Information Processing & Management, 49(1), 138-157. https://doi.org/10.1016/j.ipm.2012.07.001
Grant, R. M. (1996). Toward a knowledge-based theory of the firm. Strategic Management Journal, 17(S2), 109-122. https://doi.org/https://doi.org/10.1002/smj.4250171110
Hair Jr., J.F., Anderson, R.E., Tatham, R.L. and Black, W.C. (1998) Multivariate Data Analysis. Macmillan Publishing Company, 5th Edition. https://www.scirp.org/(S(lz5mqp453edsnp55rrgjct55.))/reference/referencespapers.aspx?referenceid=3218645
Hau, Y. S., & Kang, M. (2016). Extending lead user theory to users’ innovation-related knowledge sharing in the online user community: The mediating roles of social capital and perceived behavioral control. International Journal of Information Management, 36(4), 520-530. https://doi.org/https://doi.org/10.1016/j.ijinfomgt.2016.02.008
Hendriks, P. (1999). Why share knowledge? The influence of ICT on the motivation for knowledge sharing. Knowledge and Process Management, 6(2), 91-100. https://doi.org/10.1002/(SICI)1099-1441(199906)6:2%3C91::AID-KPM54%3E3.0.CO;2-M
Hocevar, K. P., Flanagin, A. J., & Metzger, M. J. (2014). Social media self-efficacy and information evaluation online. Computers in Human Behavior, 39, 254-262. https://doi.org/https://doi.org/10.1016/j.chb.2014.07.020
Hsu, C.-L., & Lin, J. C.-C. (2020). Antecedents and gains of user participation in social media in Taiwan. Technology in Society, 61, 101243. https://doi.org/https://doi.org/10.1016/j.techsoc.2020.101243
Hsu, M.-H., Ju, T. L., Yen, C.-H., & Chang, C.-M. (2007). Knowledge sharing behavior in virtual communities: The relationship between trust, self-efficacy, and outcome expectations. International Journal of Human-Computer Studies, 65(2), 153-169. https://doi.org/https://doi.org/10.1016/j.ijhcs.2006.09.003
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55. https://doi.org/10.1080/10705519909540118
Kane, G. C. (2017). The evolutionary implications of social media for organizational knowledge management. Information and Organization, 27(1), 37-46. https://doi.org/https://doi.org/10.1016/j.infoandorg.2017.01.001
Kaya, N., Koc, E., & Topcu, D. (2010). An exploratory analysis of the influence of human resource management activities and organizational climate on job satisfaction in Turkish banks. The International Journal of Human Resource Management, 21(11), 2031-2051. https://doi.org/10.1080/09585192.2010.505104
Kemp, S. (2022, February 15). Digital 2022: Taiwan. Datareportal. https://datareportal.com/reports/digital-2022-taiwan
Kim, Y., & Glassman, M. (2013). Beyond search and communication: Development and validation of the Internet Self-efficacy Scale (ISS). Computers in Human Behavior, 29(4), 1421-1429. https://doi.org/10.1016/j.chb.2013.01.018
Koh, J., & Kim, Y. G. (2004). Knowledge sharing in virtual communities: an e-business perspective. Expert Systems with Applications, 26(2), 155-166. https://doi.org/https://doi.org/10.1016/S0957-4174(03)00116-7
Koh, J., Kim, Y. G., & Kim, Y. G. (2003). Sense of virtual community: A conceptual framework and empirical validation. International Journal of Electronic Commerce, 8(2), 75-94. https://doi.org/10.1080/10864415.2003.11044295
Korzynski, P., Mazurek, G., & Haenlein, M. (2020). Leveraging employees as spokespeople in your HR strategy: How company-related employee posts on social media can help firms to attract new talent. European Management Journal, 38(1), 204-212. https://doi.org/10.1016/j.emj.2019.08.003
Kozinets, R. V. (1999). E-tribalized marketing?: the strategic implications of virtual communities of consumption. European Management Journal, 17(3), 252-264. https://doi.org/https://doi.org/10.1016/S0263-2373(99)00004-3
Kulkarni, U. R., Ravindran, S., & Freeze, R. (2006). A knowledge management success model: Theoretical development and empirical validation. Journal of Management Information Systems, 23(3), 309-347. https://doi.org/10.2753/MIS0742-1222230311
Kuo, F.Y., & Young, M.L. (2008). Predicting knowledge sharing practices through intention: A test of competing models. Computers in Human Behavior, 24(6), 2697-2722. https://doi.org/https://doi.org/10.1016/j.chb.2008.03.015
Lai, H.M., & Chen, C.P. (2011). Factors influencing secondary school teachers’ adoption of teaching blogs. Computers & Education, 56(4), 948-960. https://doi.org/10.1016/j.compedu.2010.11.010
Lai, H.M., & Chen, T. T. (2014). Knowledge sharing in interest online communities: A comparison of posters and lurkers. Computers in Human Behavior, 35, 295-306. https://doi.org/https://doi.org/10.1016/j.chb.2014.02.004
Lee, F. S., Vogel, D., & Limayem, M. (2003). Virtual community informatics: A review and research agenda. Journal of Information Technology Theory and Application (JITTA), 5(1), 47-61. https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1160&context=jitta
Lee, J.N. (2001). The impact of knowledge sharing, organizational capability and partnership quality on IS outsourcing success. Information & Management, 38(5), 323-335. https://doi.org/10.1016/S0378-7206(00)00074-4
Leonardi, P. M. (2017). The social media revolution: Sharing and learning in the age of leaky knowledge. Information and Organization, 27(1), 47-59. https://doi.org/https://doi.org/10.1016/j.infoandorg.2017.01.004
Liao, S.H., Chang, J.C., Cheng, S.C., & Kuo, C.M. (2004). Employee relationship and knowledge sharing: a case study of a Taiwanese finance and securities firm. Knowledge Management Research & Practice, 2(1), 24-34. https://doi.org/10.1057/palgrave.kmrp.8500016
Liao, S.H., Widowati, R., & Cheng, C.J. (2022). Investigating Taiwan Instagram users’ behaviors for social media and social commerce development. Entertainment Computing, 40, 100461. https://doi.org/10.1016/j.entcom.2021.100461
Lin, H. F. (2007). Knowledge sharing and firm innovation capability: an empirical study. International Journal of Manpower, 28(3/4),315-332 https://doi.org/10.1108/01437720710755272
McDonald, R. P., & Marsh, H. M. (1990). Choosing a multivariate model: Noncentrality and goodness-of-fit. Psychological Bulletion, 107, 247-255. https://doi.org/10.1037/0033-2909.107.2.247
McMillan, D. W., & Chavis, D. M. (1986). Sense of community: A definition and theory. Journal of Community Psychology, 14(1), 6-23. https://doi.org/10.1002/1520-6629(198601)14:1<6::AID-JCOP2290140103>3.0.CO;2-I
Mew, L., & Money, W. H. (2011). Effects of computer self efficacy on the use and adoption of online social networking. IGI Global. https://doi.org/10.4018/978-1-60960-100-3.ch403
Michael S. Chien, John S. Lawler & Jin-Feng Uen (2010). Performance-based pay, procedural justice and job performance for R&D professionals: evidence from the Taiwanese high-tech sector. The International Journal of Human Resource Management, 21(12), 2234-2248. https://doi.org/10.1080/09585192.2010.509626
Miles, I., Kastrinos, N., Bilderbeek, R., Den Hertog, P., Flanagan, K., Huntink, W., & Bouman, M. (1995, March). Knowledge-intensive business services: users, carriers and sources of innovation. European Innovation Monitoring System Publication,15.
Nonaka, I. (1994). A dynamic theory of organizational knowledge creation. Organization Science, 5(1), 14-37. https://doi.org/10.1287/orsc.5.1.14
Nonaka, I., & Takeuchi, H. (1995). The knowledge-creating company: How Japanese companies create the dynamics of innovation. Long Range Planning, 4(29), 592. https://doi.org/10.1016/0024-6301(96)81509-3
Nonaka, I., & von Krogh, G. (2009). Tacit knowledge and knowledge conversion: Controversy and advancement in organizational knowledge creation theory. Organization Science, 20(3), 635-652. https://doi.org/10.1287/orsc.1080.0412
Nunnally, J. (1978). Psychometric Theory 2nd edition (New York: McGraw).
Olatokun, W., & Nwafor, C. I. (2012). The effect of extrinsic and intrinsic motivation on knowledge sharing intentions of civil servants in Ebonyi State, Nigeria. Information Development, 28(3), 216-234. https://doi.org/10.1177/0266666912438567
Organization for Economic Co-operation and Development(2015，April 15). The R&D Intensity of Economic Activities in OECD Countries: Proposal for a new classification for industry and services. https://one.oecd.org/document/DSTI/EAS/STP/NESTI(2015)9/en/pdf
Pan, S. L., & Leidner, D. E. (2003). Bridging communities of practice with information technology in pursuit of global knowledge sharing. The Journal of Strategic Information Systems, 12(1), 71-88. https://doi.org/10.1016/S0963-8687(02)00023-9
Panahi, S., Watson, J., & Partridge, H. (2016). Social media and physicians: Exploring the benefits and challenges. Health Informatics Journal, 22(2), 99-112. https://doi.org/10.1177/1460458214540907
Papadopoulos, T., Stamati, T., & Nopparuch, P. (2013). Exploring the determinants of knowledge sharing via employee weblogs. International Journal of Information Management, 33(1), 133-146. https://doi.org/10.1016/j.ijinfomgt.2012.08.002
Park, J.G., & Lee, J. (2014). Knowledge sharing in information systems development projects: Explicating the role of dependence and trust. International Journal of Project Management, 32(1), 153-165. https://doi.org/10.1016/j.ijproman.2013.02.004
Pee, L. G., & Lee, J. (2015). Intrinsically motivating employees’ online knowledge sharing: Understanding the effects of job design. International Journal of Information Management, 35(6), 679-690. https://doi.org/10.1016/j.ijinfomgt.2015.08.002
Pekkala, K. (2020). Managing the communicative organization: A qualitative analysis of knowledge-intensive companies. Corporate Communications: An International Journal, 25(3), 551-571. https://doi.org/10.1108/CCIJ-02-2020-0040
Pekkala, K., & van Zoonen, W. (2022). Work-related social media use: The mediating role of social media communication self-efficacy. European Management Journal, 40(1), 67-76. https://doi.org/10.1016/j.emj.2021.03.004
Rheingold, H. (1993). The virtual community, revised edition: Homesteading on the electronic frontier. MIT Press. https://doi.org/10.7551/mitpress/7105.001.0001
Roberts, L. D., Smith, L. M., & Pollock, C. (2002). Mooing till the cows come home. In Psychological Sense of Community, 223-245. https://doi.org/10.1007/978-1-4615-0719-2_12
Rothaermel, F. T., & Sugiyama, S. (2001). Virtual internet communities and commercial success: individual and community-level theory grounded in the atypical case of TimeZone. com. Journal of Management, 27(3), 297-312. https://doi.org/10.1177/014920630102700305
Ryu, S., Ho, S. H., & Han, I. (2003). Knowledge sharing behavior of physicians in hospitals. Expert Systems with Applications, 25(1), 113-122. https://doi.org/10.1016/S0957-4174(03)00011-3
Safari, N., Díaz Andrade, A., & Techatassanasoontorn, A. A. (2022). Visibility of knowledge in social media: Conceptualization and instrument development. Information & Management, 59(6), 103676. https://doi.org/10.1016/j.im.2022.103676
Safdar, M., Batool, S. H., & Mahmood, K. (2020). Relationship between self-efficacy and knowledge sharing: systematic review. Global Knowledge, Memory and Communication, 70(3), 254-271. https://doi.org/10.1108/GKMC-11-2019-0139
Senge, P. M. (1998). The leader's new work: Building learning organizations. Sage Publications Inc. https://doi.org/10.4324/9781315250601-6
Straub, D. W. (1989). Validating instruments in MIS research. MIS Quarterly,13(2), 147-169. https://doi.org/10.2307/248922
Tagliaventi, M. R., Bertolotti, F., & Macrì, D. M. (2010). A perspective on practice in interunit knowledge sharing. European Management Journal, 28(5), 331-345. https://doi.org/10.1016/j.emj.2010.04.001
Tamjidyamcholo, A., Bin Baba, M. S., Tamjid, H., & Gholipour, R. (2013). Information security – Professional perceptions of knowledge-sharing intention under self-efficacy, trust, reciprocity, and shared language. Computers & Education, 68, 223-232. https://doi.org/https://doi.org/10.1016/j.compedu.2013.05.010
Ulrike Lechner, J. H. (2002). Business models and system architectures of virtual communities: From a sociological phenomenon to peer-to-peer architectures. International Journal of Electronic Commerce, 6(3), 41-53. https://doi.org/10.1080/10864415.2002.11044242
Unobservable Variables and Measurement Error. Journal of Marketing Research. 18. 39-51. https://doi.org/10.1177/002224378101800104
Wang, S., & Noe, R. A. (2010). Knowledge sharing: A review and directions for future research. Human Resource Management Review, 20(2), 115-131. https://doi.org/https://doi.org/10.1016/j.hrmr.2009.10.001
Wijnhoven, F. (1998). Knowledge logistics in business contexts: analyzing and diagnosing knowledge sharing by logistics concepts. Knowledge and Process Management, 5(3), 143-157. https://doi.org/10.1002/(SICI)1099-1441(199809)5:3<143::AID-KPM24>3.0.CO;2-9
Zack, M. H. (1999). Developing a Knowledge Strategy. California Management Review, 41(3), 125-145. https://doi.org/10.2307/41166000
Zhang, X., Liu, S., & Chen, X. (2017). Social capital, motivations, and knowledge sharing intention in health Q&A communities. Management Decision, 55(7),1536-1557. https://doi.org/10.1108/MD-10-2016-0739
Zhao, L. (2010). Sharing Knowledge in Virtual Communities: Factors Affecting A Member's Intention to Share (Publication No.871182365) [Doctoral dissertation, University of McMaster]. http://hdl.handle.net/11375/19433