Scientific knowledge contribution to online knowledge-sharing platforms has long been regarded as instrumental behavior based on utilitarian considerations. Employing cognitive evaluation theory, this study examines scientific expert users’ behavioral metrics to understand the factors responsible for users continuing to contribute their scientific knowledge for an extended period or a very short span. We found that expert users’ intrinsic motivations, which has received little attention in recent studies, constitute an important indicator of sustained online scientific knowledge contribution. Furthermore, although social rewards fail to predict the continuity of scientific knowledge contribution, they prolong the duration of knowledge contribution by enhancing the intrinsic motivations of expert users. In conclusion, a self-reinforcement mechanism underlies the relationship of intrinsic motivation with social rewards, which governs continuous online scientific knowledge contribution behavior.
ArdichviliA (2008) Learning and knowledge sharing in virtual communities of practice: Motivators, barriers, and enablers. Advances in Developing Human Resources10(4): 541–554.
2.
BanduraA (1986) The explanatory and predictive scope of self-efficacy theory. Journal of Social and Clinical Psychology4(3): 359–373.
3.
BanduraAWoodR (1989) Effect of perceived controllability and performance standards on self-regulation of complex decision making. Journal of Personality and Social Psychology56(5): 805–814.
4.
BaronRMKennyDA (1986) The moderator—Mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology51(6): 1173–1182.
5.
BlanckPDReisHTJacksonL (1984) The effects of verbal reinforcement of intrinsic motivation for sex-linked tasks. Sex Roles10(5–6): 369–386.
6.
BrabhamDC (2010) Moving the crowd at threadless: Motivations for participation in a crowdsourcing application. Information, Communication & Society13(8): 1122–1145.
7.
BrowneMWCudeckR (1993) Alternative ways of assessing model fit. In: BollenKALongJS (eds) Testing Structural Equation Models. Newbury Park, CA: SAGE, pp. 136–162.
8.
ButlerBS (2001) Membership size, communication activity, and sustainability: A resource-based model of online social structures. Information Systems Research12(4): 346–362.
9.
ByrneBM (2001) Structural equation modeling with AMOS, EQS, and LISREL: Comparative approaches to testing for the factorial validity of a measuring instrument. International Journal of Testing1(1): 55–86.
10.
ChangI-CLiuC-CChenK (2014) The effects of hedonic/utilitarian expectations and social influence on continuance intention to play online games. Internet Research24(1): 21–45.
11.
ChenC-JHungS-W (2010) To give or to receive? Factors influencing members’ knowledge sharing and community promotion in professional virtual communities. Information & Management47(4): 226–236.
12.
ChenK-CJangS-J (2010) Motivation in online learning: Testing a model of self-determination theory. Computers in Human Behavior26(4): 741–752.
13.
CheshireC (2007) Selective incentives and generalized information exchange. Social Psychology Quarterly70(1): 82–100.
14.
ChiuC-MHsuM-HWangETG (2006) Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories. Decision Support Systems42(3): 1872–1888.
15.
ChoiDHanJChungTAhnYYChunBGKwonTT (2015) Characterizing conversation patterns in Reddit: From the perspectives of content properties and user participation behaviors. In: Proceedings of the 2015 ACM on conference on online social networks, Palo Alto, CA, 2 November, pp. 233–243. New York: Association for Computing Machinery.
16.
DeCharmsR (1976) Enhancing Motivation: Change in the Classroom. New York: Irvington Publishers.
17.
DeciELRyanRM (1980) The empirical exploration of intrinsic motivational processes. In: BerkowitzL (ed.) Advances in Experimental Social Psychology. Vol. 13. New York: Academic Press, pp. 39–80.
18.
DeciELRyanRM (2012) Self-determination theory. In: Van LangePAMKruglanskiAWHigginsET (eds) Handbook of Theories of Social Psychology. Vol. 1. Thousand Oaks, CA: SAGE, pp. 416–437.
19.
DeciELKoestnerRRyanRM (1999) A meta-analytic review of experiments examining the effects of extrinsic rewards on intrinsic motivation. Psychological Bulletin125(6): 627–668.
20.
DickinsonL (1995) Autonomy and motivation a literature review. System23(2): 165–174.
21.
EscobarMLKommersPABeldadA (2014) Using narratives as tools for channeling participation in online communities. Computers in Human Behavior37: 64–72.
22.
FengYYeHJYuYYangCCuiT (2018) Gamification artifacts and crowdsourcing participation: Examining the mediating role of intrinsic motivations. Computers in Human Behavior81: 124–136.
23.
FornellCLarckerDF (1981) Evaluating structural equation models with unobservable. Variables and measurement error. Journal of Marketing Research18(1): 39–50.
24.
GuoLTanEChenSZhangXZhaoY (2009) Analyzing patterns of user content generation in online social networks. In: Proceedings of the 15th ACM SIGKDD international conference on knowledge discovery and data mining—KDD’09, Paris, 28June–1July, pp. 369–378. New York: ACM Press.
25.
HashimKFTanFB (2015) The mediating role of trust and commitment on members’ continuous knowledge sharing intention: A commitment-trust theory perspective. International Journal of Information Management35(2): 145–151.
26.
HavakhorTSororAASabherwalR (2018) Diffusion of knowledge in social media networks: Effects of reputation mechanisms and distribution of knowledge roles. Information Systems Journal28(1): 104–141.
27.
HeWWeiK-K (2009) What drives continued knowledge sharing? An investigation of knowledge-contribution and -seeking beliefs. Decision Support Systems46(4): 826–838.
28.
HearstMAPedersenJO (1996) Reexamining the cluster hypothesis. In: Proceedings of the 19th annual international ACM SIGIR conference on research and development in information retrieval—SIGIR ’96, Zurich, 18–22August, pp. 76–84. New York: ACM Press.
29.
JianGJeffresLW (2006) Understanding employees’ willingness to contribute to shared electronic databases. Communication Research33(4): 242–261.
30.
KaufmannNSchulzeTVeitD (2011) More than fun and money. Worker motivation in crowdsourcing—a study on mechanical turk. In: Americas conference on information systems (AMCIS), Vol. 11, Detroit, MI, 4–7August. pp. 1–11. Atlanta: Association for Information Systems.
31.
KimHWZhengJRGuptaS (2011) Examining knowledge contribution from the perspective of an online identity in blogging communities. Computers in Human Behavior27(5): 1760–1770.
32.
KimYKatoDKuniedaKYamadaK (2013) Preliminary user study for gratitude and reciprocity in a Q&A system. In: Proceedings of the 2013 conference on computer supported cooperative work companion, San Antonio, TX, 23–27 February, pp. 169–174. New York: ACM Press.
33.
LakhaniKWolfB (2003) Why hackers do what they do: Understanding motivation and effort in free/open source software projects. In: FellerJFitzgeraldBHissamSALakhaniKR (eds) Perspectives on Free and Open Source Software. Cambridge: MIT Press, pp. 3–22.
34.
LiCDongZJRolandHChasteenM (2013) Engaging computer science students through gamification in an online social network based collaborative learning environment. International Journal of Information and Education Technology3(1): 72–77.
35.
LiangJJLiuXMZhangWY (2019) Scientists vs laypeople: How genetically modified food is discussed on a Chinese Q&A website. Public Understanding of Science28(8): 991–1004.
36.
LievrouwLA (2010) Social media and the production of knowledge: A return to little science?Social Epistemology24(3): 219–237.
37.
LinH-F (2007) Effects of extrinsic and intrinsic motivation on employee knowledge sharing intentions. Journal of Information Science33(2): 135–149.
38.
MilojevićSRadicchiFWalshJP (2018) Changing demographics of scientific careers: The rise of the temporary workforce. Proceedings of the National Academy of Sciences of the United States of America115(50): 12616–12623.
39.
MojdehSHeadMEl ShamyN (2018) Knowledge sharing in social networking sites: How context impacts individuals’ social and intrinsic motivation to contribute in online communities. AIS Transactions on Human-Computer Interaction10(2): 82–104.
40.
MurdockJAllenCDeDeoS (2017) Exploration and exploitation of Victorian science in Darwin’s reading notebooks. Cognition159: 117–126.
41.
OlatokunWNwaforCI (2012) The effect of extrinsic and intrinsic motivation on knowledge sharing intentions of civil servants in Ebonyi State, Nigeria. Information Development28(3): 216–234.
42.
OrbenAPrzybylskiAK (2019) The association between adolescent well-being and digital technology use. Nature Human Behaviour3(2): 173–182.
43.
PaulSAHongLChiH (2012) Who is authoritative? Understanding reputation mechanisms in Quora. arXiv preprint arXiv:12043724.
44.
PetersenAMFortunatoSPanRKKaskiKPennerORungiA, et al. (2014) Reputation and impact in academic careers. Proceedings of the National Academy of Sciences of the United States of America111(43): 15316–15321.
45.
PetersenAMRiccaboniMStanleyHEPammolliF (2012) Persistence and uncertainty in the academic career. Proceedings of the National Academy of Sciences of the United States of America109(14): 5213–5218.
46.
RichardHJOldhamG (1976) Motivation through the design of work: Test of a theory. Organizational Behavior and Human Performance16(2): 250–279.
47.
RyanRMMimsVKoestnerR (1983) Relation of reward contingency and interpersonal context to intrinsic motivation: A review and test using cognitive evaluation theory. Journal of Personality and Social Psychology45(4): 736–750.
48.
ScharrerLRupieperYStadtlerMBrommeR (2016) When science becomes too easy: Science popularization inclines laypeople to underrate their dependence on experts. Public Understanding of Science26(8): 1003–1018.
49.
TsengF-CKuoF-Y (2010) The way we share and learn: An exploratory study of the self-regulatory mechanisms in the professional online learning community. Computers in Human Behavior26(5): 1043–1053.
50.
VallerandRJReidG (1984) On the causal effects of perceived competence on intrinsic motivation: A test of cognitive evaluation theory. Journal of Sport and Exercise Psychology6(1): 94–102.
51.
VerdugoVC (2012) The positive psychology of sustainability. Environment, Development and Sustainability14(5): 651–666.
52.
VranaR (2013) Promotion of scientific literacy and popularization of science with support of libraries and internet services. In: Worldwide commonalities and challenges in information literacy research and practice. Proceedings of the European Conference on Information Literacy, ECIL 2013 (eds KurbanoğluSGrassianEMizrachiDCattsRŠpiranecS), Istanbul, 22–25, October, pp. 324–330. Cham: Springer.
53.
WaaijerCJFMacalusoBSugimotoCRLarivièreV (2016) Stability and longevity in the publication careers of U.S. Doctorate recipients. PLoS ONE11(4): e0154741.
WangXClayPF (2012) Beyond adoption intention: Online communities and member motivation to contribute longitudinally. Journal of Organizational Computing and Electronic Commerce22(3): 215–236.
56.
WaskoMMFarajS (2005) Why should I share? Examining social capital and knowledge contribution in electronic networks of practice. MIS Quarterly29(1): 35–57.
57.
WhiteRW (1959) Motivation reconsidered: The concept of competence. Psychological Review66(5): 297–333.
58.
YanBJianL (2017) Beyond reciprocity: The bystander effect of knowledge response in online knowledge communities. Computers in Human Behavior76: 9–18.
59.
YangHLLaiCY (2010) Motivations of Wikipedia content contributors. Computers in Human Behavior26(6): 1377–1383.
60.
ZengAShenZZhouJFanYDiZWangY, et al. (2019) Increasing trend of scientists to switch between topics. Nature Communications10(1): 3439.
61.
ZhangXMZhuF (2006) Intrinsic motivation of open content contributors: The case of Wikipedia. Workshop on Information Systems and Economics (WISE), Chicago, Illinois.
62.
ZhangXMZhuF (2011) Group size and incentives to contribute: A natural experiment at Chinese Wikipedia. American Economic Review101(4): 1601–1615.
63.
ZhangYWangP (2016) Interactions and user-perceived helpfulness in diet information social questions and answers. Health Information & Libraries Journal33(4): 295–307.
64.
ZhuJJHZhouYGuanLHouLShenALuH (2019) Applying user analytics to uses and effects of social media in China. Asian Journal of Communication29(3): 291–306.
65.
ZuckermanMPoracJLathinDDeciEL (1978) On the importance of self-determination for intrinsically-motivated behavior. Personality and Social Psychology Bulletin4(3): 443–446.
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