Information technology adoption using survival analysis technique

Abstract

Abstract: Base on the survey data of informatization construction of 205 enterprises in China, the survival analysis technique was used to study the dynamic law of Information Technology (IT) adoption of Chinese enterprises. Enterprise IT applications were categorized into five types, that is, finance/accounting/human resource management system, the other single/multi function application system, overall integration application system, multi enterprise application system, and technological application system. The method of Kaplan-Meier was used to compare the difference of survival time of IT adoption for heterogeneous enterprises, and the resulting survival functions could reflect the dynamic adoption proportion at any particular time. Then Cox regression model was used to examine the impact of enterprise characteristics on IT adoption. The result indicates the direction and significance of the impact of each enterprise characteristics on the five types of technologies, respectively. It demonstrates that the ownership, industry type, size, organizational structure, competition level, industrial position of enterprises, and growth stage have different impact on the adoption of target technologies, and the adoption trend of the five types of technologies for heterogeneous enterprises are also revealed.

Key words: information technology, information technology adoption, survival analysis

CLC Number:

C931.6

Yu Cuiling, Bi Xinhua, Qi Xiaoyun. Information technology adoption using survival analysis technique[J]. Science Research Management, 2011, 32(9): 83-90,124.

References

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