Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This study describes the initial stages in the development of a Technology Profile Inventory (TPI) and its potential use in a variety of contexts, including dynamic personalization. The initial version of the TPI was constructed based on the responses of 318 participants. Factor analysis was used to establish the major components of individuals' attitudes toward information technology. The factors extracted demonstrate the utility of updating measures of computer attitudes to include items related to the Internet and to a broader range of attitudes. The factors of the TPI re correlated with a variety of demographic and usage variables. Gender differences re found for most TPI factors, though not for approval of information technology, and possible explanations of these differences are discussed. Correlations with usage variables provided both convergent and divergent validation, as both past experience and present use of computers and the Internet re associated with more positive TPI attitudes, but cellular phone use was unrelated to all TPI factors.
['Colin G. DeYoung', 'Ian Spence']
I am writing a research paper on a idea Profiling information technology users: en route to dynamic personalization
[{"from": "human", "value": "I am writing a research paper on a idea Profiling information technology users: en route to dynamic personalization"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This study describes the initial stages in the development of a Technology Profile Inventory (TPI) and its potential use in a variety of contexts, including dynamic personalization. The initial version of the TPI was constructed based on the responses of 318 participants. Factor analysis was used to establish the major components of individuals' attitudes toward information technology. The factors extracted demonstrate the utility of updating measures of computer attitudes to include items related to the Internet and to a broader range of attitudes. The factors of the TPI re correlated with a variety of demographic and usage variables. Gender differences re found for most TPI factors, though not for approval of information technology, and possible explanations of these differences are discussed. Correlations with usage variables provided both convergent and divergent validation, as both past experience and present use of computers and the Internet re associated with more positive TPI attitudes, but cellular phone use was unrelated to all TPI factors."}]