naa a22 4500 510759912 CHVBK 20180411083135.0 cr unu---uuuuu 180411e20130901xx s 000 0 eng 10.1007/s12525-013-0125-7 doi (NATIONALLICENCE)springer-10.1007/s12525-013-0125-7 Peddibhotla Naren Department of Business Management, SUNY Institute of Technology, 100 Seymour Road, 13502, Utica, NY, USA aut How individuals choose topics to contribute at an online context [Elektronische Daten] [Naren Peddibhotla] User generated content is being recognized as part of the value proposition of e-commerce organizations. To make available fresh content on topics, one needs to understand how individuals consider existing contributions in their decision to contribute. This study develops and tests three hypotheses based on a survey and archival data of 235 contributors of reviews at Amazon.com. Results from a LISREL analysis indicate that those with greater self-perceived competence tend to submit content on topics with fewer existing contributions. On the other hand, those with higher social adjustive motive toward others in general tend to contribute on topics where there are many existing contributions. In contrast, people for whom the social adjustive motive toward specific others is salient are equally likely to contribute on topics with few and many existing contributions. These findings suggest ways for site administrators to ensure a balanced coverage across topics by addressing these individual and social factors. Institute of Information Management, University of St. Gallen, 2013 Online contexts nationallicence User-generated content nationallicence Product reviews nationallicence Sequential position of contribution nationallicence Bystander model nationallicence Survey nationallicence Electronic Markets Springer Berlin Heidelberg 23/3(2013-09-01), 241-250 1019-6781 23:3<241 2013 23 12525 https://doi.org/10.1007/s12525-013-0125-7 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s12525-013-0125-7 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Peddibhotla Naren Department of Business Management, SUNY Institute of Technology, 100 Seymour Road, 13502, Utica, NY, USA aut NATIONALLICENCE 773 0- Electronic Markets Springer Berlin Heidelberg 23/3(2013-09-01), 241-250 1019-6781 23:3<241 2013 23 12525 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer