By Felix B. Tan

ISBN-10: 1591400295

ISBN-13: 9781591400295

ISBN-10: 1930708432

ISBN-13: 9781930708433

Complex issues in info assets administration good points the most recent study findings facing all points of knowledge assets administration, managerial and organizational functions, in addition to implications of data know-how companies. It goals to be instrumental within the development and improvement of the speculation and perform of data assets administration, beautiful to either working towards managers and teachers. furthermore, it educates companies on how they could make the most of their info assets and all of the instruments had to assemble, technique, disseminate and deal with this important source.

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Extra resources for Advanced Topics in Global Information Management Series (Vol. 1)

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For assessing the validity of the instrument, the 36 items were subjected to exploratory factor analysis (EFA). 63% variance extracted was obtained. Except for one item in the construct “perceived risk” that loaded higher on the construct “trust,” all the remaining items loaded on their respective theoretical constructs correctly. The factor loading matrix is shown in Appendix 3. 32 Cheung & Lee Contemporary Approach Structural equation modeling (SEM) techniques are very useful in validating measurement instruments (Steenkamp & Trijp, 1991).

Field Test A refined self-administered questionnaire was distributed to the management information systems (MIS) students from the school of business in a large university, and a total of 405 usable questionnaires were collected. Before the scales were subjected to any statistical analysis, a thorough examination of the psychometric properties of measuring items was performed. The instrument validation process consisted of both classical approach (item-to-total score correlation, Cronbach’s alpha, and exploratory factor analysis) and contemporary approach (structural equation modeling) (Bagozzi, Yi, & Phillips, 1991).

Proposition 9: PTT is positively associated with CTIS. Consequence of Trust: Perceived Risk (PR) Perceived risk is very powerful in explaining consumers’ behavior, since consumers tend more often to avoid mistakes than to maximize utility in purchasing (Mitchell, 1998). In particular, perceived risk is higher in Internet shopping than in the traditional mode of shopping because, for instance, a consumer will not be able to physically examine the appropriateness of a product before a purchase decision is made.

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Advanced Topics in Global Information Management Series (Vol. 1) by Felix B. Tan

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