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中文摘要：
文基于创新扩散理论（Innovation Diffusion Theory）和技术任务匹配理论（Task-technology Fit）提出了一个分析企业对于移动服务采纳行为的综合模型。通过中国四大电信公司的客户服务部门从80个不同行业的企业收集调查数据，利用SPSS统计软件对模型量表进行了信度效度分析，并采用GraPh3．0分析软件对研究模型的假设进行了检验。研究结果表明，该模型对理解、预测和解释企业对于移动服务采纳行为具有一定的实际意义。
英文摘要：
In recent years, the rapid development of mobile business （m-business） has attracted researchers and practitioners to the issue of the acceptance of m-business applications. As an emerging mobile application for enterprise users, enterprise short message service （ESMS） is playing an important role in the development of enterprise m-business in China. This study examines enterprises＇ adoption of ESMS based on the innovation diffusion theory （IDT） and the task-technology fit （TTF） model. We collected survey data from 80 enterprise respondents through the customer service departments of four telecommunication companies in China. The scaling of reliability and validity of the model are verified through SPSS 13.0 and the hypotheses of the structure equation model are verified by Graph3.0. The results indicate that in the integrated model, seven out of nine paths examined are significant. The exceptions are the impact of observability and trialability on behavioral intention. TTF constructs directly affect behavioral intention and indirectly affect organizational adoption through IDT＇s two explanatory variables - relative advantage and complexity. We also test the IDT model and TTF model alone. The results demonstrate that extending IDT with TTF provides a better explanation for the variance in organizational adoption of ESMS than using either IDT or TTF alone. Our results provide insight into enterprise adoption research and mobile service marketing strategies. For researchers, this study demonstrates that organizational users＇ adoption of ESMS can be explained by both innovation diffusion and the fit of the mobile technology and organizational tasks. For practitioners, the research provides some guidelines in improving their products and services to attract and acquire organizational users. Thus, our results indicate that the combined model have important role on explaining and forecasting enterprise adoption of mobile services.
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