IS

Brass, Daniel J.

Topic Weight Topic Terms
0.398 online evidence offline presence empirical large assurance likely effect seal place synchronous population sites friends
0.217 network networks social analysis ties structure p2p exchange externalities individual impact peer-to-peer structural growth centrality
0.199 relationships relationship relational information interfirm level exchange relations perspective model paper interpersonal expertise theory study
0.184 banking bank multilevel banks level individual implementation analysis resistance financial suggests modeling group large bank's
0.139 implementation erp enterprise systems resource planning outcomes support business associated understanding benefits implemented advice key
0.107 effect impact affect results positive effects direct findings influence important positively model data suggest test

Focal Researcher     Coauthors of Focal Researcher (1st degree)     Coauthors of Coauthors (2nd degree)

Note: click on a node to go to a researcher's profile page. Drag a node to reallocate. Number on the edge is the number of co-authorships.

Chen, Dongyu 1 Liu, De 1 Lu, Yong 1 Sasidharan, Sharath 1
Santhanam, Radhika 1 Sambamurthy, Vallabh 1
social networks 2 enterprise systems 1 friendship relationships 1 herding 1
information exchange 1 learning 1 postimplementation 1 Peer-to-peer lending 1
prism effect 1

Articles (2)

Friendship in Online Peer-to-Peer Lending: Pipes, Prisms, and Relational Herding (MIS Quarterly, 2015)
Authors: Abstract:
    This paper investigates how friendship relationships act as pipes, prisms, and herding signals in a large online, peer-to-peer (P2P) lending site. By analyzing decisions of lenders, we find that friends of the borrower, especially close offline friends, act as financial pipes by lending money to the borrower. On the other hand, the prism effect of friends' endorsements via bidding on a loan negatively affects subsequent bids by third parties. However, when offline friends of a potential lender, especially close friends, place a bid, a relational herding effect occurs as potential lenders are likely to follow their offline friends with a bid.
The Effects of Social Network Structure on Enterprise Systems Success: A Longitudinal Multilevel Analysis. (Information Systems Research, 2012)
Authors: Abstract:
    The implementation of enterprise systems has yielded mixed and unpredictable outcomes in organizations. Although the focus of prior research has been on training and individual self-efficacy as important enablers, we examine the roles that the social network structures of employees, and the organizational units where they work, play in influencing the postimplementation success. Data were gathered across several units within a large organization: immediately after the implementation, six months after the implementation, and one year after the implementation. Social network analysis was used to understand the effects of network structures, and hierarchical linear modeling was used to capture the multilevel effects at unit and individual levels. At the unit level of analysis, we found that centralized structures inhibit implementation success. At the individual level of analysis, employees with high in-degree and betweenness centrality reported high task impact and information quality. We also found a cross-level effect such that central employees in centralized units reported implementation success. This suggests that individual-level success can occur even within a unit structure that is detrimental to unit-level success. Our research has significant implications for the implementation of enterprise systems in large organizations.