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M OTIVES FOR SOCIAL C OLLABORATION IN K NOWLEDGE SHARING PORTALS

M OTIVES FOR SOCIAL C OLLABORATION IN K NOWLEDGE SHARING PORTALS. Farzad Sabetzadeh Eric Tsui Department of Industrial and Systems Engineering The Hong Kong Polytechnic University. People Need MOTIVATION.

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M OTIVES FOR SOCIAL C OLLABORATION IN K NOWLEDGE SHARING PORTALS

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  1. MOTIVES FOR SOCIAL COLLABORATION IN KNOWLEDGE SHARING PORTALS FarzadSabetzadeh Eric Tsui Department of Industrial and Systems Engineering The Hong Kong Polytechnic University

  2. People Need MOTIVATION It’s the people who are riding on the technology , NOT the technology riding on the people Knowledge- Based Society Technology Needs INFRASTRUCTURE

  3. What Motives People to Collaborate Online? Social Values Tangibles Social Reciprocity Intangibles Benevolence

  4. Challenges Network Pattern Business Innovation Moving from mechanistic models to complex holistic system analysis Value Social Innovation Moving beyond teams to knowledge networks and communities of practice Knowledge Technology Innovation Technologies for codification, organization and integration Technology How do People bring Value to knowledge societies by their participation? = + Adopted from Allee and Taug (2006)’s 3 level innovation model

  5. Personal Benefits What is in it for me? (WIIIF Rule) Money Making Name Branding

  6. Altruism Impure Pure

  7. Reciprocity and Conditional Cooperation How Big Is This Community? How Big Are The Others’ Pieces of Knowledge?

  8. Social Norms (Culture) Lessons Learned Social Identity

  9. Research Framework • Personal Benefits • Tangible Rewards • Intangible Rewards Knowledge Sharing Behavior • Benevolence • Intrinsic Rewards • Perceived Efficacy • Social Norm • Social Identity • Learned Lessons • Reciprocity • Society size • Perceived participation

  10. Study Group 130 Respondents from almost 40 countries Within first quarter of year 2008 • The majority of the studied population has higher education degrees. • The studied population is almost equally divided between the genders. • The majority of the population is in the age range of 20 to 30 years . • Almost half the population has basic job experience with a minimum 2 years. • The majority of the population has internet usage history of more than 4 years. • The majority of the population has a high internet connection frequency per day. • The majority of the population owns a computer device, and almost half of the population has their own laptops showing a high connection mobility. • The majority of the population are registered with at least one of the social networking sites, and mostof the studied population check their emails on first connecting to the internet. • Chatting and VOIP is the preferred communication tool for the greater portion of the population,followed by email in the second place. • The majority of the studied population use Email forwarding as a preferred tool to share online contentwith others.

  11. Hypothesis Testing Conditions Strongly Agree Strongly Disagree 1 2 3 4 5 Normal Test (NT) : µ ≤ 2 Positively Neutral Test (PNT) : μ≤ 2.5

  12. Results More than 60% of the motives are Rejected within Normal Test!!!!

  13. Findings • Altruism is a key factor as it inherits the social nature of the shared benefits under ubiquitous participation. • Reciprocity in the form of perceived participation from others is needed for knowledge sharing reinforcement. • Social norms (culture) finds its meaning as a sharing catalyst when people are directed from neutral position into agreement. • Last but not the least, people are potentially optimistic about what they can benefit from the online world, yet this needs proper policy and strategies that can move them from neutral position into an acceptance level.

  14. Conclusion • Identifying the motives alone does not guarantee their usefulness for online communities. • There are a lot of motives that encourage people to share but not all of them work for communities all the time. • Many motives might be potential (ulterior) that can only work when proper context is provided through appropriate policy and strategies

  15. Future Work • Previously researchers have tried to identify many of the social motives (WHATs) • We’re trying to identify the ways these motives work and benefit the online communities (HOWs) • There is a huge uncovered space under so-called “Social Complexity” to identify the reasons behind these motives (WHYs)

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