Eddie's+Annotated+Biblio


 * Adams, A., Nelson, R., & Todd, P. (1992). Perceived usefulness, ease of use and usage of information technology: A replication. //MIS Quarterly, 16//, 227-247.**

This article is focused on the usefulness of adopting an information technology. The technology studied here is a replication of adoption of voice-mail. Ease of use and usage is also focused on Roger's theory but expands it to information technology adoption.


 * Agarwal, R., & Prasad, J. (1997). Role of innovation characteristics and perceived voluntariness in the acceptance of information technologies. //Decision Sciences, 25//(3), 557-582.**

This research empirically supports the idea of conceptualizing observability into two separate constructs. Visibility refers to the degree that a person perceives to observe others and themselves using the new innovation. Result demonstrability refers to the degree that a person perceives the apparent outcomes from the use of an innovation.


 * Anandarajan, M., & Simmers, C. A. (2002). //Factors influencing the web access behavior in the workplace: a structural equation approach, Managing web usage in the workplace: a social, ethical and legal perspective//. Hershey, PA: Idea Group Publishing.**

Book on the structural approach of web usage in the workplace. Along with adoptions rate and use perceptions it talks about the different influential factors of why someone would adopt the technology.


 * Avrahami, D., & Hudson, S. E. (2006). //Communication characteristics of instant messaging: effects and predictions of interpersonal relationships.// Paper presented at the Computer Supported Cooperative Work, Banff, Alberta, Canada.**

IM research related instant messaging, paper was presented at a conference. The research focuses on ties created through intranet messaging. Messaging was used for departmental communication but found interpersonal relationships growing via the new medium.


 * Chin-Lung, H., & Hsi-Peng, L. (2004). Why do people play on-line games? an extended TAM with social influences and flow experience. //Information and Management, 41//(7), 853-868.**

Davis's Technology Acceptance Model tested on why people play online games. Adoption is examined through on-line social network communication/support. They found that gaming is highly influenced through the social aspects of online gaming.


 * Chin-Lung, H., & Hsi-Peng, L. (2007). Consumer behavior in online game communities: A motivational factor perspective. //Computers in Human Behavior, 23//(3), 1642-1659.**

Much like the Ching-Lung & His Peng research in 2004, they focused on factors of retention and adoption of an online game according to a person's social network. In this study, the user's game community was observed versus the previous study of the communication medium. Adoption of the game community and retention was reviewed. Positive experiences equaled longer retention and the support of a gaming community strengthened this phenomena.


 * Chin, W., & Gopal, A. (1995). Adoption Intention in GSS: Relative Importance of Beliefs. //DATA BASE, 26//(2), 42-63.**

The study focuses on adoption of GSS (group support systems). Davis' Technology Acceptance Model was used to measure adoption intention. The study was in a university setting and focused on beliefs of a user to use the GSS.


 * Chin, W., & Todd, P. A. (1995). On the Use, Usefulness, and Ease of Use of Structural Equation Modeling in MIS Research: A Note of Caution. //MIS Quarterly, 19//(2), 237-246.**

The study focuses on adoption of word processing. Davis' Technology Acceptance Model was used to measure adoption intention. Use, usefulness, and ease of use were studied in the equation modeling innovation.


 * Davis, F. (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. //MIS Quarterly, 13//(3), 319-340.**

Based on Roger's construct of perceived ease of use, Davis uses his on Technology Acceptance Model (TAM). TAM (Davis, 1986) is another influential model on technology adoption and diffusion. The model focuses on ease of use and perceived usefulness of an innovation, and how users will accept or reject the innovation.


 * Elizabeth, E., Grandon, J., & Pearson, M. (2004). Electronic commerce adoption: an empirical study of small and medium US businesses. //Information and Management, 42//(1), 197-216.**

Adoption of electronic commerce of businesses. The research shows that there has been a rise in the number of ecommerce adopters. It was slightly slower for smaller businesses versus the medium businesses. The overall trend was US businesses generally adopted doing business online if it was cost effective and if it was easy to use.


 * Gefen, D., & Straub, D. W. (1997). Gender Differences in the Percepion and Use of E-Mail: An Extension to the Technology Acceptance Model. //MIS Quarterly, 21//(4), 389-400.**

Gender study on adoption of email. May seem old but they used TAM and had interesting results. Women find e-mail more useful than men, but men found e-mail easier to use than women. The research goes on to focus on gender studies on how women prefer deep communication experiences. Men seemed to prefer the ease and simplicity of the communication medium.


 * Jahnke, A. (2003). Ready for Instant Messaging?; IM isn’t just for teenagers anymore. But are the downsides too much for corporate America? //CIO, 16//(11).**

Study of IM in the workplace. Jahnke observes the use of IM in the work place as a new communication medium. Adoption is based on the users perceptions on innovation theory. Study found that workers found IM easy to use and convenient to communicate between others (personal and interdepartmental).


 * Moore, G. C., & Benbasat, I. (1991). Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation. //Information Systems Research, 2//(3), 192-222.**

Research that support's Roger's adoption characteristic of perceived observability. This research along with Ararwal & Prasad (1997) support adoption of an innovation through perceived observability. Moore and Benbasat proposes that observability be recreated to cover two constructs, visibility and result demonstrability.


 * Prescott, M., & Conger, S. (1995). Diffusion of Innovation Theory: Borrowing, Extensions and Modifications from IT Researchers. //DATA BASE for Advances in Information Systems, 26//(2 & 3), 20-41.**

Perceived relative advantage has been a common factor in showing positive influence on adoption and use intentions. It's a relook at the diffusion of innovation and extending it towards information technology adoption. Although Rogers revisits his theory in the 5th edition of Diffusion of Innovations, it supports the theory through the technology sector.


 * Rogers, E. M. (1995). //Diffusion of Innovations// (5 ed.). New York, NY: The Free Press.**

Diffusion of Innovation theory is a well accepted theory that helps examine the decision making process of an innovation according to the perceptions of the adopter. Based on this model, user’s perceptions of the characteristics of an innovation affect adoption. The most commonly used characteristics are relative advantage, compatibility, complexity, triablitiy, and observability.


 * Selim, H. M. (2003). An empirical investigation of student acceptance of course websites. //Computers & Education, 40//(4), 343-360.**

Study on students adopting online courses. Ease of use is the main factor to adopting the technology. It seems that students who were previously exposed to computer or who owned computers and were familiar with the online environment easily transitioned to using course websites. Non-traditional students also adopted the use of the websites but were more hesitant because of their lack of experience with the tools.


 * Tornatzky, L., & Klein, K. (1982). Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings. //IEEE Transactions on Engineering Management, 29//, 28-45.**

IEEE research of characteristics of adoption of any innovation. Common characteristics of adoption include ease of use, feasibility, and visibility of the innovation. Social networks also play a roll on adoption of an innovation. Other studies followed Rogers diffusion of innovation 5 characteristics which include relative advantage, compatibility, complexity, trialability, and observability.


 * Van-Slyke, C., Comunale, C. L., & Belanger, F. (2002). Gender differences in perceptions of web-based shopping. //Communications of the ACM, 45//(8), 82-86.**

Technology study on gender preferences based on perceptions of a new technogy. The study is in support for males having favorable attitudes toward innovative technologies. It follows the progression that men prefer to be in the early adopter range.


 * Van-Slyke, C., Lou, H., & Day, J. (2003). Intentions to use groupware: the influence of users' perceptions. In M. Khosrow-Pour (Ed.), //Advanced topics in information resources management// Hershey, PA: IGI Publishing.**

This study focuses on the percieved relative advantage of adopting a new technology. This influence has been widely tested in IT adoption studies the use of smart card adoption in the workplace.


 * Venkatesh, V., & Morris, M. G. (2000). Why don't men ever stop to ask for directions? Gender, social influence and their role in technology acceptance and user behavior. //MIS Quarterly, 24//(1), 115-139.**

This study focuses on the perceived relative advantage of adopting a new technology. This influence has been widely tested in IT adoption studies and this one focuses on the adoption of information retrieval systems in the workplace. Really quick and easy of the adoption of the new technology according to its advantage.