@article {442,
	title = {The influence of government intervention on logistics enterprise{\textquoteright}s adoption of information technology},
	journal = {Journal of Digital Information Management},
	volume = {12},
	year = {2014},
	note = {Export Date: 10 July 2014},
	month = {2014},
	pages = {8 - 17},
	abstract = {With emphasizing the process of innovation, this paper classifies government intervention focused on innovation adoption into three dimensionalities: information support, financial support and personnel support. It also refines technological cognition into two aspects: perceived benefits including functional benefits and social benefits, and perceived costs including financial cost and risk. This paper develops an information technology adoption model of logistic enterprise for the context of government intervention, which based on the technology adoption theories of behavior perspective and follows the corresponding basic principle that government intervention affects adoption intention indirectly via technological cognition. Then, the study takes standard TMS and investigates some logistic enterprises in Zhejiang province to conduct empirical research. With collected 113 valid data, the author tests the model by regression analysis. The results demonstrate that adoption intention is affected by government intervention through technological cognition, and reveals the path in which different kinds of government intervention affect technological cognition.},
	keywords = {Government intervention, Innovation policy, Logistics enterprise, Technology adoption},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84900452701\&partnerID=40\&md5=112750f1b798a63b5af1ec6502ed603a},
	author = {Xiao, L. and Ma, X.}
}
@article {293,
	title = {Applications classification and scheduling on heterogeneous hpc systems using experimental research},
	journal = {Journal of Digital Information Management},
	volume = {9},
	year = {2011},
	note = {Export Date: 10 July 2014},
	month = {2011},
	pages = {227 - 232},
	abstract = {Heterogeneous high-performance computing (HPC) systems have been proposed as a power efficient alternative to traditional homogeneous systems. In heterogeneous HPC system, fast CPUs which have complex pipelines, high clock frequencies as well as high power consumption are combined with slow ones which have simple pipelines, low clock frequencies as well as low power consumption. Different types of applications should be distributed to run on different type of CPUs, in order to achieve a trade-off between energy and performance. In this paper, we use experimental research to investigate the applications classifications which categorize each application as the CPU-intensive, memory-intensive, or phase-change application. We also conduct some experiments to measure the current, power, and energy of different types of applications. Afterwards, a scheduling method for applications on heterogeneous HPC systems is proposed. The experiment shows that the scheduling method can trade off the latency and energy consumption based on the applications classification and measurement.},
	keywords = {Applications Classification, Heterogeneous Systems, High Performance Computing, Scheduling},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84855410151\&partnerID=40\&md5=442c0fa54ceef88eed0bc85373d116ff},
	author = {Xia, Y. and Zhu, M. and Kuang, L. and Ma, X.}
}
