- 1 Andm~ s, L., and G utkia, T. The ~ of hum an vs. oom purer authoula~p on oonsam ex~ p~tions ofpsydaob~mpozts. 007~ put. Hum. B6hav. ? (1991), 311-317.Google Scholar
- 2 B auhs, J., and Cooke, N . Is know lag m oxe mknl}y bet/P_m?. E ~ of syst~n devebpm entiafo~ atbn in hum an~expert sySmm ia~ctions. In GEl'94 OowpBni~ ~o~on, Apr. 24-28). ACH Pxess, New Yo~, 1994, pp. 99-100. Google ScholarDigital Library
- 3 Fogg, B., and T s~ag, H . T he e}am aats ofcum putmr c~ '~i~. In PfO~ in~sdCHl'99 ~ithbu~jh,H ay15-20).ACH Pmss, New Yo~, 1999. Google ScholarDigital Library
- 4 K antow itz, B., H anow ~i~ R., and K antow itz, S. D Eider aoc~pt~noe of F8~o'$ 39, 2 Q997), 164-176.Google Scholar
- 5 Kin, J., andM oon, J.D esklning towauts ~n otbnalus~bility in custom er inter~oes: T ~u~ ofehine~ of cyber4oanking sySmm intemfaces. Inte'act. with C_,crrCmt. 10 Q997), 1-29.Google Scholar
- 6 Lee, J. T he dyna~ ics of tmush in a sJpeurls~ry control sh u}ation. In Procezlings of the Hu~ Factors ,.~zT'ety 35th Annual Masting (Santa M onice, Calif., Sept. 2-6). Hum an FactD~ and E~onom ics Sock, SantmM onica, Calif., 1991, pp. 1228-1232.Google Scholar
- 7 Le. rch, F., and P~}a, M . How do we tuishm aohine advi~? D estjniqg and usng hum an~m purer iqtPufaoes and know ledge%areal sySmm s. In Prozarli ngs d the Third Annual C, cnf~ ~ H uman-~e~ I nte'acfia7. El~e~m, Am she~t~, 1989,pp. 411-419. Google ScholarDigital Library
- 8 Muir, B., andM o~y, N . T ~ushin autDm ation: Expemin entalSmdiss of tmish and hum an intervention in a proc~ oontrol skn ul~tion. Er~uno71 39, 3 Q996), 429-460.Google Scholar
- 9 Reeves, B., andN ass, C . TheM~ia Equatim: Ho,v Peuple Tre~t CoP pute'$ Tda/igon, and NaN MEdia Like P,~ Peuple and Races c am - b_}ilge U nize__.usty P:h'ees, N e,T Yo_~, 1996. Google ScholarDigital Library
- 10 Se~ c .c mib'~.ln An Inte/fatad~~ to~nicmicn The;ry~d /~dT, M .Sal~en andD .Stzuks, Eds. Erbam~ ,M ahwah, N J., 1996.Google Scholar
- 11 Sherhtan, T., Vam os, T., and Aida, S. Adapting autom atbn to m an, ollm~e, and so~.Automat. 19, 6 Q983), 605-612.Google ScholarDigital Library
- 12 W ~n, Y., and Ram being, R. People's p~tbn ofhum an and oom - pumradvi:e. CcrrCmt. Hum. B~hav. 12, 1 (1996), 17-27.Google Scholar
Index Terms
- Credibility and computing technology
Recommendations
Factors and effects of information credibility
ICEC '07: Proceedings of the ninth international conference on Electronic commerceWebsite success hinges on how credible the consumers consider the information on the website. Unless consumers believe the website's information is credible, they are not likely to be willing to act on the advice and will not develop loyalty to the ...
Impact of informational factors on online recommendation credibility
This study investigates the moderating effect of recommendation source credibility on the causal relationships between informational factors and recommendation credibility, as well as its moderating effect on the causal relationship between ...
Credibility of Electronic Word-of-Mouth: Informational and Normative Determinants of On-line Consumer Recommendations
Word-of-mouth (WOM) study is extended to the on-line context (eWOM) by examining the informational and normative determinants of the perceived credibility of on-line consumer recommendations. A survey of users of an on-line consumer discussion forum in ...
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