SNS 1 2 2 2013 4 10, 2013 7 3 SNS SNS SNS 20 60 20 SNS A User Survey of Introducing Social Networking Sites into Enterprises Namie Kato 1 Hirohiko Suwa 2 Toshizumi Ohta 2 Received: April 10, 2013, Accepted: July 3, 2013 Abstract: Social networking sites (SNS) attract attention as a network service in an organization. We examine that what kind of user attributes and enterprise attributes affect the merits and demerits in an enterprise. We develop a set of hypotheses based on our survey of the literature concerning the SNS, and conduct a questionnaire survey in enterprises. We find that those who belong to his/her 20 s or his/her 60 s, and to a smaller organization feel the merits. On the other hand, those who belong to his/her 20 s and a smaller organization also feel the demerits. We also find a tendency that the larger number of acquaintances in the friend list and the larger number of participants in the community are responded, the more demerits as well as the merits the respondents report to feel. Keywords: enterprise SNS, questionnaire survey, factor analysis, analysis of variances, merits and demerits 1. SNS Social Networking Sites 1 ICT [1] SNS 2011 4,289 45.1%2014 5,643 58.6% SNS 2005 1 JMA Research Institute Inc., Chiyoda, Tokyo 100 0004, Japan 2 University of Electro-Communications, Chofu, Tokyo 182 8585, Japan VARRY [2] SNS 2005 NTT Sati NTT Nexti SNS 1 SNS SNS [3] [4] SNS [5], [6], [7] c 2014 Information Processing Society of Japan 221
[8] SNS SNS 2 SNS 3 SNS 4 5 6 7 2. SNS Boyd [9] SNS web Web Web Web SNS [3] SNS [10] A SNS 1 High High High [11] SNS ennetforum [12], [13] SNS SNS [14] 2 SNS [5] SNS [6] SNS SNS [7] SNS SNS Face to Face SNS 1 Borremans [15] 34 IBM SNS Bernoff [16] IT SNS SNS 3. SNS SNS 3.1 SNS [17] SNS SNS 3 1 2 c 2014 Information Processing Society of Japan 222
3 OBOG [17] NTT 1 3 OBOG 2 1 2 SNS 3 1 1 2 SNS 2005 SNS SNS SNS 3.2 3.3 3.2 1 [18] 24.3% 35.1% 29.8% 33.2% [11] SNS 2 [18] 20 43.9% 42.2% 30 33.3% 37.8% 40 20.2% 36.2% 50 16.8% 27.4% 60 14.8% 27.8%20 3 [6] SNS 4 [17] SNS 3 1 PUSHPULL 2 3 SNS SNS 3.3 5 [17] SNS 6 Krackhardt [19] 7 [6] SNS 8 9 [6] c 2014 Information Processing Society of Japan 223
4. 3 4.1 SNS SNS 4.2 SNS ennetforum [12], [13] 4 ennetforum [12], [13] 4 ennetforum [13] [14] 4 SNS SNS 5 5 SNS SNS 6 4.3 2012 2 23 25 SNS 20 440 SNS 240 3 SNS 5. 5.1 12 65.3% 1 3 5.2 1 2 3 4 5 t 1 1 t(238) = 0.787 p < 0.01 1 2 3 1 F(4, 235) = 3.689 p < 0.05 2 F(4, 235) = 2.789 p < 0.05 3 F(4, 235) = 6.575 p < 0.05 20 60 30 40 50 t 0 299 300 4,999 5,000 1 3 c 2014 Information Processing Society of Japan 224
1 Table 1 Results of factor analysis. Fig. 1 1 Differences in factor score by gender. Fig. 3 3 Differences in factor score by position. Fig. 2 2 Differences in factor score by age. Fig. 4 4 Differences in factor score by employee size. 1 F(2, 237) = 3.076 p < 0.05 3 F(2, 237) = 6.131 p < 0.05 0 299 0 299 1 2 4 5 2 3 c 2014 Information Processing Society of Japan 225
Table 2 2 Correlation coefficients between user attitude and extracted factor. Fig. 5 5 Differences in factor score by number of business location or branch. Fig. 7 7 Differences in factor score by number of participation to community. 6 SNS Fig. 6 Differences in factor score by access frequency to SNS. 2 F(2, 237) = 4.132 p < 0.05 3 F(2, 237) = 5.448 p < 0.05 1 1 5.3 SNS SNS 6 7 SNS 2 1 2 2 F(3, 236) = 8.019 p < 0.05 1 1 0 1 3 4 6 7 9 10 1 2 3 1 F(5, 234) = 2.962 p < 0.05 2 F(5, 234) = 4.059 p < 0.05 3 F(5, 234) = 3.368 p < 0.05 2 c 2014 Information Processing Society of Japan 226
Table 3 3 Results of relations between individual attribute and extracted factor. Table 4 4 Results of relations between usage attribute and extracted factor. 6. 3 4 20 SNS 60 [20] 20 60 SNS [6] SNS [6] SNS 1 [6] 1 [6] 4 SNS c 2014 Information Processing Society of Japan 227
[6] Krackhardt [19] SNS [6] 7. SNS SNS 20 60 20 [1] ICT SNS ICT http://www.ictr.co.jp/ topics 20111227.html 2012-10-15 [2] SNS NTT NTT https://www.keieiken.co.jp/ monthly/2010/1008-08/ 2013-07-08 [3] SNS 3 http://www4.atpages. jp/sigksn/conf03/index.html 2013-07-13 [4] CMC SNS (2010). [5] SNS! pp.9 10 (2009) [6] SNS Vol.21, No.1, pp.19 32 (2009) [7] SNS pp.11 14 (2009) [8] DIAMOND pp.106 117 (2012) [9] Boyd, D.M. and Ellison, N.B.: Social Network Sites: Definition, History, and Scholarship, Journal of Computer-Mediated Communication, Vol.13, No.1, article 11 (2007). [10] SNS 6 http://www4.atpages.jp/ sigksn/conf06/index.html 2013-07-13 [11] SNS 2012 (2012) [12] ennetforum ennetforum SNS SNS blog RSS Wiki ennetforum www.ennetforum.org/meeting/ meeting 200512/houkoku.pdf 2008-07-10 [13] ennetforum 5 SNS blog RSS Wiki SNS SNS ennetforum http://www.ennetforum.org/meeting 200611.html 2008-07-10 [14] SNS http://ci.nii.ac.jp/naid/ 110006869269 2013-07-13 [15] Borremans, P.: Clarifying IBM s strategic mission for social media, Strategic Communication Management (online), available from http://courses.washington.edu/ com529/page2/page3/files/page3 5.pdf (accessed 2013-07-13). [16] Bernoff, J. and Schadler, T.: Empowered: Unleash your employeers, energize your customer, and transform your business, Harvard Business School Press (2010). (2011). [17] SNS 2008 JASI&JSIS pp.216 221 (2008). [18] 23 http://www.e-stat.go.jp/ SG1/estat/List.do?bid=000001039309&cycode=0 2013-04-05 [19] Krackhardt, D.: The Ties that Torture: Simmelian Tie Analysis in Organizations, Research in the Sociology of Organizations, Vol.16, pp.183 210 (1999). [20] http://www.e-stat.go.jp/sg1/estat/ List.do?lid=000001070464 2013-01-05 c 2014 Information Processing Society of Japan 228
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