Thursday, September 9, 2010

[Summary] Why share online? / 為何分享? 做功德?佛心來的?

    More and more  Internet users, including me :), participate in online social networking sites to share, comment, and express how they feel about things that happened to them.  This phenomenon let us notice an interesting question in which why internet users incline to share  things to online social networking sites, such as Facebook, blogs, youtube, and online forums, where others may read and comment. They may even use the things you shared without returning anything back. Why people are willing to do that? 

   Unlike commercial activity,  sharing information online does not contain any intention to promote any product or service but instead is a motivation in which I wan to share.  Theoretically,  sharing the information online  seems to be an irrational behavior because the things you shared are so called " public good," the feature of which is purely non -rival and nonexcludable. In other words, it is possible that you spend your time and effort to share online but do not get anything in return. ~ so kind? not really! 
    Indeed, around only 20% of people, called critical mass, share most of information to online social networking while the rest of 80% enjoy access free resources. Thus, why they share? (the idea can be seen as following figure)


People who belong to critical mass are not really irrational but instead have some reasons to motive them to share.  The factors that affect people to share can be categorized into three types [1] :
  • Intrinsic Factors means the level of satisfaction will be enhanced by the actions of generating contents and contributing to online social networking. 
  • Extrinsic Factors refer to the motivation of sharing driven by external stimulus. 
  • Internalized Extrinsic Factors represent the self-regulated instead of directly being influenced by external environment induces the motivation and satisfaction of sharing. 
Based on this category, I summarize a variety of sharing behaviors into each type (some of categories are arguable ~ welcome to share your ideas)

Intrinsic Factors (IF) :  
  1. Fun and Joy in solving challenges [1] [2]
  2. Enjoyment in helping others[3] [13]
  3. Knowledge self-efficacy [3]
  4. Sense of self-worth [4] [5]
  5. Enriching knowledge [6] [7]
  6. Skilled, knowledge- able or respected. [8]
  7. Senders share their positive and negative experiences out of a desire to help others make better decisions, [9] [10][11]
  8. Individuals in the critical mass (higher outdegree) will have greater interests in seeingthe good realized and greater resources to contribute. [12]
Extrinsic Factors (EF):
  1. Organizational rewards [4]
  2. Career opportunities [1]  [2] [14]
  3. Reduction of network congestion in file sharing networks[15] [16] [17]
  4. Making friends [6] [7]
  5. Helping the virtual community to accumulate its knowledge, continue its operation, and grow [18] [19] [20]
  6. Believing that their effort is important to the group’s performance[21]
  7. Shared Vision [32]
Internalized Extrinsic Factors (IEF):
  1. Reputation [3]
  2. Social identity [22] [32]
  3. Reciprocity  [2] [3] [4] [5] [12] [29] [32]
  4. Fairness [4] [13]
  5. Subjective norm [13] [4]
  6. Use value  [1] [2]
  7. Seeking support [6] [7]
  8. To decrease doubts about their own behavior, or to experience feelings of prestige and power [23] [24] [25] 
  9. Express oneself about a positive consumption experience may boost enthusiasm for and satisfaction with the decision outcome [26] [27]
  10. Talking to others about disappointing experiences may relieve negative feelings and reduce dissatisfaction [27] [28].
  11. Believing that their contributions to the group are identifiable[21]
  12. Liking the group they are working with [21]
  13. Longer professional association tenure and higher levels of expertise are associated with responding to others[12]
  14. A generalized exchange takes place when one's giving is not reciprocated by the recipient, but by a third party [30]
  15. Generalized exchange emerges in electronic networks of practice because people typically do not know each other and participation is discretionary.[12]
  16. Social Ties [32]
    While this classification is easy to understand, it is not sophisticated enough to really catch every idea of sharing behavior in online social networking.  To improve this deficiency, I add one more concept which is very important  and always be adopted in social networking literature. 

Group v.s Individual 

    In social setting,  decision making may be based on three different levels: "(1)  individual based models (a personal intention to perform an individual act by oneself), (2)  normative based models (a personal intention to perform an individual act but with consideration of the social influence), and (3) a group-based model (the model comprises of both personal intention and social intention to perform a group act)". There  is a key concept under these levels : Group and Individual [31] . In social networking, people may not just think about themselves as individual but also perceive that they are part of group. Therefore, it is essential to view sharing behavior from group and individual perspectives. 

So, based on above reason, I, combining intrinsic factors, extrinsic factors and internalized extrinsic factors, further classify sharing behavior by creating a matrix bellow.
 Others 
There are some other classifications which are hard to be categorized:
1. Circumstantial contribution and Motivational contribution:
Circumstantial contribution refers to unintentionally share their private resources publicly.  
Motivational contribution refers to intentionally share their resources that are of no interest to him but for the benefit of the bookmarking community. [13]


Building upon my classification, it will be interesting to know everyone's motivations while sharing information to online social networking. Please note that the results are always not sole but mixed. So, what are your motivations? 
For me, I think my motivations to use share information include IF 1-7, EF 4, 6 , IEF 1, 2, 3, 7, 8, 9, 10, 11, 12, 14, 15.

Reference ( do not follow any journal format,  a little be disordered)

[1] Hann, I. J. Robert, and S. Slaughter (2006) Understanding the motivations, participation and performance of open source software developers: a longitudinal study of the apache projects. Management Science 52(7) 984-999. 
[2]Shah,  S.  K.  2006.    Motivation,  governance  and  the  viability  of  hybrid  forms  in  open  source software development. Management Science 52(7) 1000-1014. 
[3]Wasko,  M.  and  S.  Faraj.  2005.  Why  should  i  share?  Examining  knowledge  contribution  in  electronic networks of practice. MIS Quarterly 29(1) 1-23. 
[4]Bock,  G.-W.,  R.  W.  Zmud,  Y.-G.  Kim,  J.-N.  Lee.  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.
[5] Xia,  M.,  Y.  Huang,  W.  Duan,  A.  B.  Whinston.    2008.  To  Keep  Sharing  Or  Not  To  Keep  Sharing?  --  An  Empirical  Analysis  On  User  Decision  In  Peer-to-peer  Sharing  Networks.  UIUC Working Paper.
[6]D. Andrews, J. Preece, M. Turoff, A conceptual framework for demographic groups resistant to on-line community interaction, International  Journal  of  Electronic  commerce  6  (3)  (2002)9–24 
[7]Y. Zhang, S.R. Hiltz, Factors that influence online relationship development in a knowledge sharing community, Proceedings of the Ninth American Conference on Information Systems, 2003, pp. 410–417.
 [8]B. Butler, L. Sproull, S. Kiesler, R. Kraut, Community effort in online groups: who does the work and why, in: S. Weisband, L. Atwater (Eds.), Leadership at a Distance, Lawrence Erlbaum Publishers, Mahwah, NJ, 2002.
[9] E.  Dichter,  How  word-of-mouth  advertising  works,  Harvard  Business  Review (November- December 1966).
[10] P. Fitzgerald Bone, in: J.F. Sherry, B. Sternthal (Eds.), Determinants of Word-of-Mouth Communications During Product Consumption, Advances in Consumer Research, vol. 19, 1992, Provo, UT.
[11] A. Hemetsberger, R. Pieters, When consumers produce on the internet: an inquiry into motivational sources of contribution to joint-innovation, Conference Proceedings La Londe Seminar: Marketing Communications and Consumer Behavior, 2001, Aix-en-Provence.
[12]  Wasko, M.M., Teigland, R. & Faraj, S. (2009) The provision of online public goods: Examining social structure in an electronic network of practice,  47, 254–265
[13] Arakji, R., Benbunan-Fich, R. and Koufaris, M (2009), Exploring contributions of public resources in social bookmarking systems, Decision Support Systems. Volume 47 , Issue 3 (June 2009) 
[14] Jeppesen, L. B., L. Frederiksen. 2006. Why do users contribute to firm-hosted user communities? The case of computer-controlled music instruments. Organization Science. 17(1) 45–63. 
[15] Krishnan, R., M. Smith, Z. Tang, and R. Telang. 2004. The impact of free-riding on peer-to-peer networks. Proceedings of the 37th Hawaii International Conference on System Sciences.
[16] Casadesus-Masanell, R. and A. Hervas-Drane. 2007. Peer-to-peer file sharing and the market for 
digital  information  goods.  Harvard  Business  School  Working  Paper.  Available  at  SSRN:
http://ssrn.com/abstract=950968. 
[17] DangNguyen,  G.  and  T.  Pénard.  2006.  Network  cooperation  and  incentives  within  online 
communities. Available at SSRN: http://ssrn.com/abstract=953072. 
[18]  G.W.  Bock,  Y.G.  Kim,  Breaking  the  myths  of  rewards:  an exploratory  study  of  attitudes  about  knowledge  sharing, Information  Resource  Management  Journal  15  (2)  (2002) 14–21.
[19]  K.E. Kolekofski, A.R. Heminger, Beliefs and attitudes affecting intentions  to  share  information  in  an  organizational  setting, Information & Management 40 (6) (2003) 521–532.
[20] E.L. Lesser, Leveraging social capital in organizations, in: E.L. Lesser (Ed.), Knowledge and Social Capital: Foundations and Applications, Butterworth Heinemann, Woburn, MA, 2000.
[21] Ling, K., Beenen, G., Ludford, P. J., Wang, X., Chang, K., Li, X., et al. (2005). Using social psychology to motivate contributions to online communities. Journal of Computer Mediated Communication, 10(4)
[22] Ma, M. and R. Agarwal. 2007. Through a glass darkly: information technology design, identity 
verification, and knowledge contribution in online communities. Information Systems Research 
18(1) 42-67. 
[23] E.  Dichter,  How  word-of-mouth  advertising  works,  Harvard  Business  Review (November- December 1966).
[24]  P. Fitzgerald Bone, in: J.F. Sherry, B. Sternthal (Eds.), Determinants of Word-of-Mouth Communications During Product Consumption, Advances in Consumer Research, vol. 19, 1992, Provo, UT.
[25]  A. Hemetsberger, R. Pieters, When consumers produce on the internet: an inquiry into motivational sources of contribution to joint-innovation, Conference Proceedings La Londe Seminar: Marketing Communications and Consumer Behavior, 2001,Aix-en-Provence.
[26]  M.L.  Richins,  P.H.  Bloch,  Post-purchase  product satisfaction:  incorporating the effects of involvement and time, Journal of Business Research 23 (1991).
[27]  D.S. Sundaram, K. Mitra, C. Webster, in: J.W. Alba, J.W. Hutchinson (Eds.), Word-of-Mouth Communications: A Motivational Analysis, Advances in Consumer Research, vol. 25, 1998, Provo, UT.
[28]   L. Festinger, A Theory of Cognitive Dissonance, 1962 Stanford, CA.
[29] P.  Kollock,  The  economies  of  online  cooperation:  gifts,  and  public  goods  in cyberspace,  in:  M.A.  Smith,  P.  Kollock  (Eds.),  Communities  in  Cyberspace, Routledge, New York, 1999, pp. 220–239.
[30].P. Ekeh, Social Exchange Theory: The Two Traditions, Harvard University Press, 






Cambridge, MA, 1974.
[31]R.P. Bagozzi, K.H. Lee, Multiple routes for social influence: the role of compliance, internalization,  and  social  identity,  Social  Psychology  Quarterly  65  (3)  (2002) 226–247.
[32] Chiu, C.-M., Hsu, M.-H., & Wang, E. T. G. (2006). Understanding knowledge sharing in virtual communities: an integration of social capital and social cognitive theories. Decision Support Systems, 42(3), 1872-1888.

No comments:

Post a Comment