Volume 7, Issue 1 (6-2020)
Human Information Interaction 2020, 7(1): 56-70 |
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Ebrahimy S, Salimi G, Anbaraki S, Zare H. The patterns and behaviors of researchers’ knowledge sharing in scientific social networks:A Case Study of Research Gate’ Question And Answer System. Human Information Interaction 2020; 7 (1)
URL: http://hii.khu.ac.ir/article-1-2840-en.html
URL: http://hii.khu.ac.ir/article-1-2840-en.html
Shiraz university
Abstract: (3584 Views)
Aim: Scientific social networks were shaped as part of a set of social software and a platform for international interactions sharing the tangible and intangible knowledge of researchers. The purpose is to investigate the patterns and behaviors of knowledge sharing of researchers in Research Gate. Based on this, the question and answer system of this scientific social network was analyzed and reviewed.
Methodology: Method is applied descriptive survey with web content analysis approach. The community studied was the questions and answers provided in the Q & A system of Research Gate. Two subject areas were selected, 127 questions and 408 responses related to these two domains were analyzed and reviewed.
Findings: Findings showed that the questions raised in two domains examined in the question and answer system of the scientific network were conceptual questions and replies in both domains were often intangible, and the type of presentation are scientific vision and mental pattern. Most of the inquirers were researchers from Asian countries with less than 5 RG rank. While researchers from European countries - with an RG rank of over 10, have been posting answers and sharing their expertise.
Conclusion: Q & A systems are diverse, efficient technologies for sharing knowledge and enhancing international interactions among researchers beyond the geographical and political boundaries, which has created a place for the reproduction of scientific disciplines in the world. The results according to Castells, speak of latent power of social networks and question and answer systems in knowledge sharing and widespread knowledge boundaries that facilitate transfer of experiences, thought and knowledge of researchers and provide fertile ground for science.
Methodology: Method is applied descriptive survey with web content analysis approach. The community studied was the questions and answers provided in the Q & A system of Research Gate. Two subject areas were selected, 127 questions and 408 responses related to these two domains were analyzed and reviewed.
Findings: Findings showed that the questions raised in two domains examined in the question and answer system of the scientific network were conceptual questions and replies in both domains were often intangible, and the type of presentation are scientific vision and mental pattern. Most of the inquirers were researchers from Asian countries with less than 5 RG rank. While researchers from European countries - with an RG rank of over 10, have been posting answers and sharing their expertise.
Conclusion: Q & A systems are diverse, efficient technologies for sharing knowledge and enhancing international interactions among researchers beyond the geographical and political boundaries, which has created a place for the reproduction of scientific disciplines in the world. The results according to Castells, speak of latent power of social networks and question and answer systems in knowledge sharing and widespread knowledge boundaries that facilitate transfer of experiences, thought and knowledge of researchers and provide fertile ground for science.
Keywords: Knowledge Sharing Behavior, Research Gate, Q&A System, Online Scientific Social Network, Tangible & Intangible Knowledge
References
1. Abrams, L. C., Cross, R., Lesser, E., & Levin, D. Z. (2003). Nurturing interpersonal trust in knowledge-sharing networks. The Academy of Management Executive, 17, 4, 64−77. [DOI:10.5465/ame.2003.11851845]
3. Afjeh, S. A. A. , Entezari, A. & Mortaji, N. S. (2016). Pattern Of Knowledge Sharing Behavior In Social Network. Quarterly journal of social sciences. 71, 90-125.
4. Amiri, M., Entezari, A. & Mortaji, S. N.(2016). Knowledge sharing behavior of Iranian experts in experts' social networks: Identification of indexes. Human Information Interaction. 3,3,66-81.
5. Anbaraki, S. (2016). A survey on the role of trust factor on the promotion of knowledge sharing on online social networks from the perspective of researchers at the universities of Shiraz and Persian Gulf in Bushehr. Master of knowledge and information science thesis. School of education science and psychology. Shiraz university.
6. Anbaraki S, Jowkar A. & Ebrahimy, S.(2016) identifying incentives and disincentives factors effects on willingness to share knowledge In online scientific social networks. Iranian journal of information processing and management. 33 ,3. 967-988.
7. Anbari, A.M.& Hariri, N. (2015). The Role of Persian Professional Web-based Social Networks in Knowledge Sharing. National studies on librarianship and information organization. 26,3,115-132.
8. Aftabi, Z. (2015). A Review of question and answer systems regarding to information retrieval. Master of computer engineering thesis. School of electronic and computer engineering. Yazd university.
9. Batooli, Z. (2013). ResearchGate features for researchers. Science and technology discourse. 1,2,59-68.
10. Bilgihan, A., Barreda, A., Okumus, F. & Nusair, K. (2015). Consumer perception of knowledge-sharing in travel-related Online Social Networks. Journal of Tourism Management, 52, 287-296. [DOI:10.1016/j.tourman.2015.07.002]
12. Bock, G. W., & Kim, Y. (2002). Breaking the myths of rewards: an exploratory study of attitudes about knowledge sharing. Information Resources Management Journal, 15(2), 14-21. [DOI:10.4018/irmj.2002040102]
14. 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. [DOI:10.2307/25148669]
16. Bouthillier, F & Shearer, K. (2002).Understanding knowledge management and information management: The need for an empirical perspective. Information Research. 8,1.
17. Castells, M. & Catterall, B. (2001). The Making of the Network Society, London: ICA.
18. Cho, H., Chen, M., & Chung, S. (2010). Testing an Integrative Theoretical Model of Knowledge-Sharing Behavior in the Context of Wikipedia. Journal of the American Society for Information Science and Technology, 61, 6 , 1198-1212. [DOI:10.1002/asi.21316]
20. Elalfy, D., Gad, W., & Ismail, R. (2018). A hybrid model to predict best answers in question answering communities. Egyptian informatics journal, 19, 1, 21-31. [DOI:10.1016/j.eij.2017.06.002]
22. Giglia, E. (2011). Academic social networks: it's time to change the way we do research. European journal of physical and rehabilitation medicine, 47, 2, 345-349.
23. Hansen, S & Avital, M. (2005). Share and share alike: The social and technological influences on knowledge sharing behavior. Sprouts, 5, 1, 1-19.
24. Holsapple, C. W., & Joshi, K. D. (2004). A formal knowledge management ontology: Co [DOI:10.1007/978-3-540-24746-3]
26. nduct, activities, resources, and influences. Journal of the American Society for Information Science and Technology, 55, 7, 593-612.
27. Hou, H.T., Sung, Y. T.& Chang, K. E. (2009). Exploring the behavioral patterns of an online knowledge-sharing discussion activity among teachers with problem-solving strategy. Journal of Teaching and Teacher Education, 25, 101-108. [DOI:10.1016/j.tate.2008.07.006]
29. Jin, X. L., Zhou, Z.; Lee, Matthew K.O. & Cheung, C. M.K (2013).Why users keep answering questions in online question answering communities: A theoretical and empirical investigation. International Journal of Information Management. 33, 93- 104. [DOI:10.1016/j.ijinfomgt.2012.07.007]
31. Ku,E.C.S &Fan,Y.W (2009). Knowledge sharing and customer relationship management in the travel service alliances. Journal of total quality management and business excellence, 20(12), 1407-1421. [DOI:10.1080/14783360903248880]
33. Le, L. T., Shah, C., & Choi, E. (2016, June). Evaluating the quality of educational answers in community question-answering. In 2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL) (pp 129-138). IEEE. [DOI:10.1145/2910896.2910900] [PMID]
36. Leon, R. D. , Rodríguez, R. R., Gasquet, P.G. & Mula, J. (2017). Social network analysis: A tool for evaluating and predicting future knowledge flows from an insurance organization. Technological Forecasting & Social Change, 114, 103-118. [DOI:10.1016/j.techfore.2016.07.032]
38. Li, M., Li, Y., Lu, Y., & Zhang, Y. (2019). Evaluating Indicators of Answer Quality in Social Q&A Websites. In PACIS (p. 217).
39. Lin, Fu-ren, & Huang, Hui-yi. (2012). Why people share knowledge in virtual communities? Internet Research.
40. Lin, H.-F. (2007). Knowledge sharing and firm innovation capability: an empirical study. International Journal of Manpower, 28, 315-332. [DOI:10.1108/01437720710755272]
42. Lindsey, L. K. (2006). Knowledge sharing barriers, in the encyclopedia of knowledge management (pp.500-506) Schwartz, G. D: Idea Grouping, UK. [DOI:10.4018/978-1-59140-573-3.ch065]
44. Madhusudhan, M. (2012). Use of social networking sites by research scholars of the University of Delhi: A study. The International Information & Library Review, 44, 2, 100-113. [DOI:10.1080/10572317.2012.10762919]
46. Mogotsi, I.C. (2009). An empirical investigation into the relationships among knowledge sharing behavior, organizational citizenship behavior, job satisfaction and organizational commitment.University of Pretoria. ProQuest Dissertations and Theses.
47. Mooradian, T., Renzl, B., & Matzler, K. (2006). Who Trusts? Personality, Trust and Knowledge Sharing. Management Learning, 37, 4, 523-540. [DOI:10.1177/1350507606073424]
49. Naif Marouf, L. (2015). Social Networks And Knowledge Sharing In Organizations: A case study. Journal of knowledge management, 11, 6, 110-125. [DOI:10.1108/13673270710832208]
51. Nocera A., D. Ursino. 2011. An approach to providing a user of a ''social folksonomy'' with of Delhi: A study. The International Information & Library Review 44,100-113.
52. Oh, S. (2012). The Characteristics and Motivations of Health Answerers for Sharing Information, Knowledge, and Experiences in Online Environments. Journal Of The American Society For Information Science And Technology, 63(3), 543-557. [DOI:10.1002/asi.21676]
54. Reagans, R., & McEvily, B. (2003). Network structure and knowledge transfer: The effects of cohesion and range. Administrative Science Quarterly, 48, 2, 240-267. [DOI:10.2307/3556658]
56. Seba, I; Rowley, J & Lambert, S.(2012).Factors affecting attitudes and intentions towards knowledge sharing in the Dubai Police Force, International Journal of Information Management. 32(4), 372-380. [DOI:10.1016/j.ijinfomgt.2011.12.003]
58. Seibold, Balthas (2009). The global digital divide is an innovation and learning divide. Ethical challenges and solutions based on capacity building. In: Dabrowski, Martin
59. Shen,H. (2015). Knowledge Sharing in the Online Social Network of Yahoo! Answers and Its Implications. IEEE Transactions On Computers, 64, 6, 1715-1728.
60. Shen, H.& Li, G. (2014). SOS: A Distributed Mobile Q&A System Based on Social Networks. Journal Of IEEE Transactions On Parallel And Distributed Systems, 25,4, 1066-1077. [DOI:10.1109/TPDS.2013.130]
62. Van den Hooff, B., & de Leeuw van Weenen, F. (2004). Committed to Share: Commitment and CMC Use as Antecedents of Knowledge Sharing. Knowledge and Process Management, 11 ,1, 13-24. [DOI:10.1002/kpm.187]
64. Wah, C. Y., Menkhoff, T., Loh, B., & Evers, H.-D. (2005). Theorizing, Measuring, and Predicting Knowledge Sharing Behavior in Organizations-A Social Capital Approach. Proceedings of the Annual Hawaii International Conference on System Sciences, 252. [DOI:10.1109/HICSS.2005.622]
66. Wasko, M. M., & Faraj, S. (2005).Why should I Share? Examining Social Capital and Knowledge Contribution in Electronic Networks of Practice. MIS Quarterly, 29(1), 35-57. [DOI:10.2307/25148667]
68. Wu, Lingfei; Baggio, Jacopo; Janssen, Marco. (2016). The Role of Diverse Strategies in Sustainable Knowledge Production. Journal of PLoS ONE ,11,3, 1-13. [DOI:10.1371/journal.pone.0149151] [PMID] []
71. Yager, Ronald.R. (2009). Knowledge Trees and Protoforms Question-Answering Systems. Journal of the American society for information science and technology, 5, 4, 550-563. [DOI:10.1002/asi.20309]
73. Yi, J. (2005). A measure of knowledge sharing behavior: Scale development and validation. Indiana University). ProQuest Dissertations and Theses, 143.
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