How Does Personality Matter? Relating the Five Factor Model to Technology Acceptance and Use In this paper, the researchers expound on the Five Factor Model (FFM) of personality that has been used widely in management and psychology studies to forecast behavior, but has been overlooked in the information systems field. The authors explain how the FFM can be used in information systems research by using the FFM personality factors in the framework of technology acceptance. In addition, the authors propose a dispositional outlook to comprehend user attitudes and beliefs, and investigate the impact of user personality on both the supposed importance and of the subjective practices towards the acceptance and use of technology (Devaraj et al, 2008). Basis for the Problem The research problem investigated in the paper stems from the failure of previous research to incorporate qualitative methods in the study of information system aspects. Even though the future of IS research points to a movement beyond the technology acceptance model, the connection between the two elements has been concisely established, and this is the basis of the research. Clarity and Completeness of Description of the Problem The authors give a vivid description of the research problem. They first approach the topic from a historical perspective, referring to Huber’s statements in 1983 that discouraged the study of cognitive techniques as a foundation for DSS design. They also refer to previous research in the field of personality and technology acceptance and present the hypotheses tested in these studies. The authors begin from early studies and research, then move step by step to recent studies on the same topic. They relate personality and FFM, arguing that the FFM is taken to be an all-inclusive and parsimonious representation of personality (Venkatesh and Davis, 2000). Next, they present a relation between personality and technology acceptance, this consequently leads to a relation between FFM and technology acceptance. These step by step processes lead to a concise understanding of the topic under study. Design and Conducting of the Research Study This research study employs a commercial collaborative system (which they call eproject) to collect data. The research system organizes team efforts around particular projects, offering numerous common social features such as announcements, discussions, document versions control and voting in addition to a number of project management features such as task assignment and issue management. !80 subjects were used for the study, comprising MBA (119) EMBA (61) students and. All subjects receive similar training on various aspects of information systems. After the training, the technology acceptance model (TAM), customer self-efficacy (CSE) and other related surveys were undertaken and this provided data for analysis. Control variables were used in the survey and these included the use of a different method to measure CSE. GMA and GPA scores of the subjects were also used to test whether a connection existed between these scores and survey results. Infrastructuring: Toward an Integrated Perspective on the Design and Use of Information Technology In this paper, the resea