An Empirical Study on the Usage Intention of Geological Cloud Service Based on DTPB and TTF Integration – A Case Study of Geological Cloud • Shaanxi Sub-Node

Abstract

This article from the theoretical perspective, IT adopted process based on the TOE framework, from the technical characteristics, organization situation and environment dimension identification and analysis of key factors affecting geological cloud platform to accept, combined with the Task Technology Fit model (Task - Technology Fit and the vera.ttf) and the Theory of deconstruction Task Technology Fit (Decomposed and found of Planned behaviors, DTPB) SEM model of geological cloud platform framework, with geological cloud platform service of geological survey industry users as the research sample, SPSS and Amos were used to verify the research hypothesis and model through questionnaire survey to explore the acceptability of geological cloud platform. The results show that willingness, subjective norm and perceived behavior control all have a positive and significant influence on the geological surveyors' service acceptance intention in The geological cloud (Shaanxi), among which attitude and perceived behavior control have the most significant influence, followed by subjective norm. Users' ease of use of the "geological cloud" service, usefulness and task technology fit sexy, geological data under the situation of compliance motivation, perceived behavior control of self-efficacy, resources convenience conditions and technical conditions are the key factors can’t be ignored, accordingly puts forward related Suggestions to provide geological survey reference for the decision-making body.