38 research outputs found

    Common Method Variance in IS Research: Should We Be Concerned?

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    Penggunaan Media Teknologi, Student Engagement, Dan Kinerja Dalam Pembelajaran Akuntansi: Studi Kasus Pada Accounting Software “Accurate”

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    The purpose of this study is to research the relation about accounting software (Accurate)and student engagement and student performance. A number of 186 students in accounting class of Maranatha Christian University participated in this research and valid data is 128. Regression Linear and descriptive analysis are used in this research. The results show that the value of R-square is 0.993, it indicates that there is linear correlation between engagement and students’ score in practical accounting software (Accurate)

    Computer-Mediated Communication and Innovation: Do Communication Media Properties Influence Innovative Thinking Processes?

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    This paper concerns potential impacts that characteristics of communication media in computer-mediated problem solving in groups have on group-members’ innovative thinking. Different processes involved in effective idea generation and problem solving are presented, and we discuss how three characteristics of communication media relevant for group collaboration aiming at producing innovative ideas might influence the group process. A research model is presented, and hypotheses regarding the effects of affordances on innovative thinking are put forth. We finally describe a possible methodological approach that might be applied in order to test the proposed hypotheses

    Reciprocal Effect of Team Commitment and Media Richness in eCollaboration: A Conceptual Model

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    One of the major areas of E-Business applications is the sourcing of expert human resources globally with the help of virtual teams operating in various parts of the world. Major corporations are increasingly using e-Collaboration technologies to make the functioning of these teams economical and effective. The tasks performed by these teams can vary from software design and development to providing back office services like call center support, technical support, transcription services etc. Additionally, after 9/11 corporations have embarked on major initiatives to implement e-Collaboration technologies at the global level to help reduce travel. Extensive work has been done to study the decision-making performance of face-to-face and virtual teams. However, previous studies have found conflicting results regarding the impact of media richness on decision-making performances of teams. This paper posits the significant role of media type on the communication richness when team members have low commitment to the collaborative team projects. A conceptual model that depicts the influence of media type on satisfaction, team conflict, social influence, and supportiveness that influences the team commitment has been developed. The influence of team commitment on communication richness is also examined. A controlled lab experiment is designed to test the research model

    The effect of normative social influence and cultural diversity on group interactions

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    Motivated by concerns regarding the impact of cultural diversity on group interaction processes and a desire to extend the Social Influence Model of Technology Use, this paper discusses the impact of normative social influence on enhancing group media use and group decision making performance over time in different cultural group compositions. This paper proposes that the strength of attraction to the group influences the similarity in media perception and use of group members. The similarity of group media perception and use is proposed to influence group performance. Concurrently, group cohesion, similarity of media perception and use, and group performance are positively correlated over time. Since culture affects individuals' values, beliefs and behavior, this paper proposes that the degree of similarity in media perception and media use may differ when group composition varies by culture. Several propositions for empirical examination are highlighted. Finally, the paper concludes with a discussion of the importance and implications of understanding cultural diversity and social influence on technology use and group performance. © 2006 IEEE

    Messaging Media Perceptions and Preferences: An Exploratory Study

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    Although a significant amount of research has focused on traditional media choice and use and even on some of the “new” media, these studies have neglected Instant Messaging (IM) and Short Messaging Service (SMS). This study offers a novel exploration of students’ perceptions of and preferences for two new messaging media (IM and SMS) in the context of the use of other traditional and new communication media (face-to-face, telephone, and email) in their university learning activities. The findings reveal media richness is rated in decreasing order of face-to-face, telephone, IM, email and SMS. Face-to-face is the most preferred medium in most communication activities. Students preferred email in a manner similar to the telephone. This study has identified the importance of media experience, familiarity and frequency of use, when selecting media. The overall findings of this study support media richness theory

    Idea Generation in Technology-Supported Teams: A Multilevel Motivational Perspective

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    In this research, we draw on multilevel theory to understand the interplay between team characteristics—team size and team dispersion—and individual goal striving in influencing individual idea generation performance. We conducted a laboratory study involving 185 individuals nested in 34 brainstorming teams and found that individual goal striving is a stronger predictor of individual idea generation performance in dispersed team contexts compared to co-located team contexts and in larger teams than in smaller teams. The implications of the findings for theory and practice are discussed.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/116288/1/Srinivasan et al. 2012.pd

    Latent Growth Modeling and Latent Class Analysis

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    Geared towards capturing change, longitudinal research is able to provide insight into a variety of phenomena of interest to IS researchers, especially IT adoption and use. However, its potential is constrained by the data analysis methods typically used. In this paper, I introduce an advanced technique – Latent Curve Modeling – and demonstrate how this technique supports longitudinal data analysis using system use data collected at an international management consulting firm. Latent Curve Modeling helps capture temporal patterns better than existing methods, and provides methods to identify the causes of change in patterns. With rich information in the discussion of the technique and the results of the empirical tests, I recommend it as a valuable option for IS researchers who are interested in research involving temporal changes
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