45 research outputs found
Analysis of the Variables that Affect Frequency of Use and Time Spent on Social Networking
No full textAbstract This manuscript provides a comprehensive review of the many potential variables associated with the use of technology and tests their applicability to social networking. Variables were included from a variety of well accepted theories including Theory of Reasoned Action, Diffusion of Innovation, Theory of Planned Behavior, Technology Acceptance Model and End User Computer Satisfaction. Prior studies have explored variables and factors that influence social networking intention and behavior. This study is an extension of prior studies that separately reviewed emotions associated with social networking behavior and intention as well as applying the TRA model and the Diffusion of Innovation theory model to behavioral intention. This study is unique in that it does not review the intention or usage of the technology but rather explores the frequency of use and the amount of time spent using the technology. In addition, it is a comprehensive look at variables from a number of important behavioral theories as well as emotions. As a result, we can explore a comprehensive review of many variables effect on the relative importance of the technology and its time and frequency penetration on the part of users rather than just a generic variable measuring agreement with an intention to use and actual use
An Empirical Study of Social Networking Behavior Using Diffusion of Innovation Theory
No full textOnline social networking (SN) has gained enormous popularity in the last ten years with users numbering in the millions. There are an equal number of males and females who use social net-working and there is no difference in ethnicity; Caucasians, African-American and Hispanic adults are equally likely to use these sites. This paper studies social networking behavior using Rogers (1995) model of human behavior known as Diffusion of Innovation (DI). Specifically, findings re-veal that behavioral compatibility (COMP) with social networking, relative advantage (RA), com-plexity (CMPX) and ease of trying (TRY) are positively associated with intention to use social net-working. In addition, findings confirm that intention influences use of social networking. A review of gender shows little difference between diffusion influences on intention. The modified DI model provides a good fit with the overall data and can be used to predict and understand the usage of social networking
Integrating Soft Skill Competencies Through Project-based Learning Across the Information Systems Curriculum
No full textContemporary Information Systems graduates will be more marketable in the workplace upon graduation if they have combined competencies in both technical and soft skills: interpersonal communication, teamwork, time management, planning and organizational skills. Team and projectbased learning can be used to incorporate soft skill competencies with technical skills. The authors have created instructional modules that take these factors into account. Using these strategies while at the same time applying soft skills into practice, students gain a deeper understanding and appreciation of the importance of such skills
An Empirical Study of Social Networking Behavior Using Theory of Reasoned Action
No full textOne of the most important means of communication for young people today is social networking. This study explores social networking behavior using the Ajzen and Fishbein (1980) model of human behavior known as Theory of Reasoned Action (TRA). Specifically, findings reveal that both attitude toward social networking and “subjective norm” are positively associated with intention to use social networking (SN). In addition, intention influences use of social networking. The TRA model provides a strong fit with the overall data and can be used to predict and understand the usage of social networking in the target population
An Empirical Study of Instant Messaging Behavior Using Diffusion of Innovation Theory
No full textInstant messaging (IM) as a form of communication offers unique advantages to traditional email communications, centered mostly on its immediacy. However, levels of IM use are significantly less than email especially in business organizations. In an attempt to understand IM behavior and encourage its adoption, this manuscript explores the instant messaging behavior using the Rogers (1995) model of human behavior known as Diffusion of Innovation (DI). Specifically, findings reveal that both behavioral compatibility with instant messaging, relative advantage (RA) provided by IM, and ease of trying (TRY) IM are positively associated with intention to use IM. In addition, critical mass (CM) is positively associated with intention and findings confirm that intention influences use of instant messaging. A review of gender shows little difference between diffusion influences on intention. The only significant change is relative advantage which is significant at p \u3c .05 for males but only at p \u3c .10 for females. The modified DI model provides a good fit with the overall data and can be used to predict and understand the usage of instant messaging. Specific recommendations to increase IM usage are proposed
Got Web 2.0? A Review of Web 2.0 Tools for the Information Systems Curriculum
No full textThis paper discusses the importance of incorporating Web 2.0 technologies across the Information Systems (IS) curriculum. The Web 2.0 paradigm is not new; although the term itself was coined in 2004 by Dale Dougherty of O’Reilly Media, Inc., (Anderson, 2007) the concept of a collaborative workspace was the original vision of Tim Berners-Lee, the inventor of the World Wide Web. The Economist Intelligence Unit (2007) reports that approximately 80% of all corporations believe that Web 2.0 has the potential to increase revenues. Others have stated that health of one’s business could be seriously damaged if these technologies are not being utilized. This manuscript first presents a review of the importance of Web 2.0 technologies. This is followed by a comprehensive overview of the multitude of technologies that make up Web 2.0. The goal is to provide a detailed reference to understanding these tools so that they can be readily understood by students and easily incorporated into current information systems curricula
Web 2.0 Matters: An Analysis of Implementing Web 2.0 in the Classroom
No full textWeb 2.0 tools are collaborative Internet applications that allow for facilitation of communications between individuals and organizations. Examples of Web 2.0 tools include blogs, wikis, Second Life, and social networking. This manuscript reviews classroom implementation of Web 2.0 tools at three Northeastern US universities. The importance of Web 2.0 instruction is examined via literature review and pre and post class testing of the students involved in the courses. It was found that knowledge of Web 2.0 skills is generally regarded as being very important. Students who took the course and were educated on Web 2.0 skills increased both their knowledge and comfort level after the course. A detailed analysis of student perceptions both prior to taking the course and after instruction are reviewed
An Empirical Study of Instant Messaging (IM) Behavior Using Theory of Reasoned Action
No full textInstant messaging (IM) as a form of communication offers unique advantages to traditional email communication centered mostly on its immediacy. Levels of IM use are significantly less than email especially in business organizations. In order to understand IM behavior and encourage its adoption, this manuscript explores IM behavior using the Ajzen & Fishbein (1980) model of human behavior known as Theory of Reasoned Action (TRA). Attitude toward IM and “subjective norm” are positively associated with intention to use instant messaging. The TRA model can be used to predict and understand the usage of instant messaging in the target population
An Empirical Study of Text Messaging Behavioral Intention and Usage
No full text: Text messaging or Short Message Service (SMS) as a form of communication offers unique advantages to traditional phone call communications. The typical U.S. mobile subscriber sends and receives more SMS text messages than telephone calls. In an attempt to understand text messaging behavioral intention and encourage its adoption, this manuscript explores the text messaging behavior using the variables from the models of human behavior known as Theory of Reasoned Action (TRA), the Technology Acceptance Model (TAM), and the Diffusion of Innovation (DI). Variables from each did contribute to text messaging usage. In addition, an analysis of text messaging by age and student status was performed. Overall, there was no difference found in intent to use text messaging by age or gender. Also, no significant difference was found in frequency of text messaging and time spent texting by gender. Age, did show significant differences supporting statistics that show younger individuals text more. Linear regression found that four variables from the models affected text messaging behavior at p \u3c .10, Usefulness and Ease of Use from TRA, Attitude from TAM, and Compatibility from Diffusion of Innovation. No other variable significantly affected behavioral intention at p \u3c .10. This suggests that traditional variables influence text messaging use and its use can be expanded through education on its usefulness, simple training, integration and compatibility instruction, and a positive approach to its use
An Empirical Study of Behavioral Factors Influencing Text Messaging Intention
No full textThis manuscript provides a comprehensive review of many of the behavioral factors associated with the use of technology and tests their applicability to text messaging. The theories explored included End User Computer Satisfaction, Theory of Reasoned Action, Diffusion of Innovation, Theory of Planned Behavior, and Technology Acceptance Model. In addition, Positive and Negative Emotion factors were developed and tested to examine their influence on text messaging behavioral intention. Several statistical processes were utilized to develop and confirm the factors. The results of the study suggest that no one model can fully explain texting behavior but several factors did have a significant influence on intention at p \u3c .05. These factors were Attitude, Compatibility, Ease of Use, Satisfaction, and Visibility. These factors can serve as areas that practitioners and researchers can focus on to improve text messaging intention and obtain the significant benefits of this technology
