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Marios Koufaris
Baruch College
57Publications
17H-index
4,009Citations
Publications 57
Newest
#1Stanislav Mamonov (MSU: Montclair State University)H-Index: 5
#2Marios Koufaris (Baruch College)H-Index: 17
ABSTRACTIT training is firmly established as a key condition that influences successful technology adoption, yet little is known about factors that can affect voluntary training participation. We evaluate the predictive value of IT-related attributional style in relation to the intention to participate in voluntary training in the context of a mandatory enterprise resource planning system rollout. We find that individual IT-related attributional style is highly predictive of the intention to par...
ABSTRACTThe evolution of information technologies enables new forms of communication and facilitates the emergence of different types of virtual communities, such as social networks. While some social network services have succeeded, others have failed. Understanding the factors that affect the sustainability of social network sites is important for both research and practice. We draw on the sense of community theory to develop a nomological framework of antecedents and consequences associated w...
#1Stanislav Mamonov (MSU: Montclair State University)H-Index: 5
#2Marios Koufaris (Baruch College)H-Index: 17
ABSTRACTGovernment electronic surveillance programs are an active topic in public debates, yet little is known about how awareness of government electronic surveillance programs affects technology users’ concerns, beliefs, and behaviors. This study examined the impact of exposure to news stories about government surveillance on users’ concerns about government intrusion, their privacy self-efficacy, and the strength of passwords they use to protect information. Findings were that the exposure to...
#1Stanislav Mamonov (MSU: Montclair State University)H-Index: 5
#2Marios Koufaris (Baruch College)H-Index: 17
Technology training is firmly established as a key factor that influences successful technology adoption and use. Certain variables may affect the intention to participate in technology training when the training is optional. In this study we focus on one such variable that has received little attention in IS research: the individual information technology related causal attribution style and its connection to the intention to participate in voluntary training. Specifically, we examine how the i...
#1Chi-Wen Chen (CUNY: City University of New York)H-Index: 1
#2Marios Koufaris (CUNY: City University of New York)H-Index: 17
There is considerable research on how Decision Support Systems (DSSs) enable users to make better decisions. However, there is less focus on the possibility that some of their features may introduce biases and encourage suboptimal user behavior. We report on an experimental study that examines three DSS features that are generally considered beneficial to the user: the degree of choice the system provides to the user, the presence of competition among concurrent users, and the use of training to...
Jan 1, 2015 in ICIS (International Conference on Information Systems)
#1Sara Moussawi (CUNY: City University of New York)H-Index: 1
#2Marios Koufaris (CUNY: City University of New York)H-Index: 17
Low-paid micro-task crowdsourcing sites present a new workplace that has been increasingly popular. Given recently reported crowd demographics and relevant literature we believe that the understanding of higher-level motivations for workers on these sites is still an under-explored area. Using a qualitative research methodology, we explore workers’ motivations in their natural settings. We conduct interviews with Amazon Mechanical Turk workers and analyze the data through the lens of Alderfer’s ...
#1Tamilla Mavlanova (UConn: University of Connecticut)H-Index: 5
#2Raquel Benbunan-Fich (Baruch College)H-Index: 26
Last.Guido Lang (Quinnipiac University)H-Index: 3
view all 4 authors...
This study extends the understanding of signaling in online shopping environments by evaluating the effect of positive and negative signals on perceptions of online buyers. Drawing from signaling theory, this study proposes and empirically tests a model for conceptualizing the influence of website signals on perceived deceptiveness and purchase intentions. The results support the assertions of the model and indicate that the online buyers' perceptions of website deceptiveness and purchase intent...
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