Cloud
Factors affecting individual adoption of Web based database
Team Members
Savitha Bangalore
Prabhu Rangaraju
Chandni Saxena
Introduction:
The growth of World Wide Web combined with increase in use of technology has paved the online use of any technology. Web based data base are online data base which allows the user to share the database on the web, whereas others can access it from anywhere in the world with an internet connection.
Over the last two decades, a significant body of research has focused on identifying various factors that influence user acceptance behaviour of web based technology (Davis, 1989; Davis et al., 1989, Lucas and Spitler, 1999). Quite a number of studies have been published for studying the web based database (Maja Pantic et al., 2005, Antonija Mitrovic et al., 2004). Even though number of studies explains about the adoption of web based technologies, there still exists a gap in the research which needs explanation about individual adoption of web based database.
This study looks at factor affecting individual adoption of web based database from technological and user perspective. This research going to investigate web based database acceptance by combining the work done by (Mun Y Yi et al., 2003) pertaining to “Predicting the use of web-based information systems: self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model” and by (Irwin T.J.Brown et al., 2002) pertaining to “Individual and Technological factors affecting perceived ease of use of web based learning technologies in a developed country”. Specifically this study investigates the impact of perceived ease of use, perceived usefulness, ease of finding, ease of understanding, self efficacy, computer anxiety and enjoyment on intended usage of web based database by individuals. As the web based database are increasingly expanding through research and development. This study will be
Team Members
Savitha Bangalore
Prabhu Rangaraju
Chandni Saxena
Introduction:
The growth of World Wide Web combined with increase in use of technology has paved the online use of any technology. Web based data base are online data base which allows the user to share the database on the web, whereas others can access it from anywhere in the world with an internet connection.
Over the last two decades, a significant body of research has focused on identifying various factors that influence user acceptance behaviour of web based technology (Davis, 1989; Davis et al., 1989, Lucas and Spitler, 1999). Quite a number of studies have been published for studying the web based database (Maja Pantic et al., 2005, Antonija Mitrovic et al., 2004). Even though number of studies explains about the adoption of web based technologies, there still exists a gap in the research which needs explanation about individual adoption of web based database.
This study looks at factor affecting individual adoption of web based database from technological and user perspective. This research going to investigate web based database acceptance by combining the work done by (Mun Y Yi et al., 2003) pertaining to “Predicting the use of web-based information systems: self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model” and by (Irwin T.J.Brown et al., 2002) pertaining to “Individual and Technological factors affecting perceived ease of use of web based learning technologies in a developed country”. Specifically this study investigates the impact of perceived ease of use, perceived usefulness, ease of finding, ease of understanding, self efficacy, computer anxiety and enjoyment on intended usage of web based database by individuals. As the web based database are increasingly expanding through research and development. This study will be
References: Davis, F.D., 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology Davis, F.D., Bagozzi, R.P., Warshaw, P.R., 1989. User acceptance of computer technology: a comparison of two theoretical models. Management Science 35, 982–1002. Lucas, H.C.J., Spitler, V.K., 1999. Technology use and performance: a field study of broker workstations. Decision Sciences 30, 291–311. Mitrovic, A., Suraweera, P., Martin, B., Weerasinghe, A. (2004) DB-suite: experiences with three intelligent, web-based database tutors. Journal of Interactive Learning Research, 15(4), pp. 409-432. Vukadinovic, D., Pantic, M., 2005. Fully automatic facial feature point detection using Gabor feature based boosted classifiers. Systems, Man and Cybernetics, 2005 IEEE International Conference ,pp. 1692 - 1698 Vol. 2 Mun Y Irwin T.J.Brown, 2002. Individual and Technological Factors Affecting Perceived Ease of Use of Web-based Learning Technologies in a Developing Country. The Electronic Journal on Information Systems in Developing Countries 9,5,1-15. H. van der Heijden, “Factors influencing the usage of websites: The case of a generic portal in the Netherlands”, Information & Management, 40 (2003). V.Venkatesh, F.D. Davis, “A theoretical extension of the technology acceptance model: Four longitudinal field studies”, Management Science, 46 (2) (2000). Szajna, B., 1996. Empirical evaluation of the revised technology acceptance model. Management Science 42, 85–92. Lederer, A., Maupin, D.,Sena, M. & Zhuang, Y. (2000) The Technology Acceptance Model and the World Wide Web, Decision Support Systems, 29, 3, 269-282 Dishaw, M & String, D Anandarajan, M., Igbaria, M. & Anakwe, U.(2002) IT Acceptance in a Less-Developed Country: A Motivational Factor Perspective, International Journal of Information Management, 22, 1, 47-65 Agarwal, R., Karahanna, E., 2000 Venkatesh, V., 2000. Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research 11, 342–365 Gefen, D., and Straub, D Csikszentmihalyi, M., 1990. Flow: The Psychology of Optimal Experience. Harper and Row, New York. Agarwal, R., Karahanna, E., 2000. Time flies when you’re having fun: cognitive absorption and beliefs about information technology usage. MIS Quarterly 24, 665–694. Davis, F.D., Bagozzi, R.P., Warshaw, P.R., 1992. Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology 22, 1111–1132. Venkatesh, V., Speier, C., Morris, M.G., 2002. User acceptance enablers in individual decision making about technology: toward an integrated model. Decision Sciences 33, 297–316. Venkatesh, V., 2000. Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research 11, 342–365.