Do technology-focused fast internationalizers’ performance measures change as they mature?

We examine how technology-focused innovation-based fast internationalizers’ (TIFIs’) performance measures change as they mature. Based on 42 interviews with Australian entrepreneurs and industry experts, we show that young TIFIs employ exploratory strategies for developing cutting-edge solutions and prefer using subjective measures for assessing their export performance. Later, becoming more complex organizations, employing exploitative strategies, they use additional objective, profit-based measures. The implications of destructive forces (e.g., COVID-19) to the performance of these firms were modest. Due to being digitally-based industry disruptors, they remain focused on innovation as the source of their independence and survival. Their creativity drives constant change/disruption to industries, requiring back-and-forth movement among exploratory and exploitative strategies, integrating subjective and objective performance measure simultaneously, as their new-to-the-world solutions are developed to withhold ‘creative destruction’ over time.     

互联网使用与家庭文旅消费——兼论互联网普及下居民消费升级的可行性

经济新常态下,互联网普及推动了消费方式的系统性变革。文章基于中国家庭追踪调查数据(CFPS),实证检验了互联网使用对家庭文旅消费的影响。研究结果表明:(1)互联网使用显著提升了家庭文旅消费概率和水平,并且在克服潜在的内生性问题后,其影响效应保持稳健。(2)进一步分析发现,互联网使用对家庭文旅消费的促进作用来源于信息渠道效应和便捷交易效应,而受教育水平和收入水平的增加有利于增强互联网使用的影响效果。(3)分地区异质性分析显示,在中西部地区、低互联网普及率地区、高景区拥有量地区,互联网使用对家庭文旅消费的促进作用更为明显。(4)拓展分析还发现,互联网使用没有影响家庭在必需品消费方面的支出比重,但却带来以文旅消费为代表的服务消费水平和比重的显著提升,继而有助于家庭扩大消费支出,并促进消费结构的服务化转型。上述结论不仅为理解中国家庭消费行为提供了新的视角,也为合理利用互联网激发消费潜能提供了有益参考。     

一种结合空谱聚类的高光谱图像快速压缩算法

对高光谱图像进行快速压缩已经成为了高光谱遥感领域的研究热点。针对现有的高光谱图像数据量大和压缩所需运算量大的问题，提出了一种基于频段聚类+主成分分析(PCA)与空间分类相结合的高光谱图像快速压缩算法。首先利用最大相关度频段聚类算法(MCBC)将频段聚类，接着将每一类频段用PCA压缩，然后将压缩后的图像利用聚类信号子空间投影(CSSP)算法进行图像分类，最后在每一类内利用LBG(Linde Buzo Gray)算法通过矢量量化快速完成高光谱图像的编码。在不同的压缩比下进行实验，结果表明提出的高光谱图像压缩算法能在保证良好的图像恢复质量的前提下，大幅度降低运算复杂度，实现高光谱图像的快速压缩。