动态稠密人际网络中创新扩散研究

使用复杂网络模型最新成果——p-GNC网络拟合社交时代的人际网络，运用多智能体仿真法分析了p-GNC网络结构、网络效应强度和社会系统中创新先驱者比例对创新扩散的影响。研究发现，p-GNC网络的平均聚集系数越大、平均度越小，创新扩散规模越大，且平均度是创新扩散规模的决定因素。网络效应强度正向影响创新扩散规模，网络效应强度越高，p-GNC网络结构变化对创新扩散规模的影响越大。创新先驱者比例正向影响创新扩散规模，当网络效应强度较高且p-GNC网络呈现出稀疏状态时，提高创新先驱者比例对创新扩散规模的促进作用随创新先驱者比例的增加而边际递减。     

The non-union workplace in Australia: bleak house or human resource innovator?

This paper compares the employee relations practices and outcomes of non-union and unionized workplaces in Australia. It also examines the nature of those practices to ascertain whether non-union workplaces can best be characterized as human resource innovators or 'bleak houses'. The data for the study are drawn from the 1995 Australian Workplace Industrial Relations Survey. The findings suggest that non-union workplaces are distinctly less innovative in a number of their employee relations practices and in general have less favourable employee relations outcomes than unionized workplaces in terms of dismissal and turnover rates. The non-union workplace is also distinguished by the individualistic nature of its contractual, remunerative and bargaining arrangements.     

Laggards in disguise: Resistance to adopt and the leapfrogging effect

In this conceptual paper we propose a redefinition of the Laggards concept and discuss a consumer leapfrogging effect, whereby Laggards of previous product generations may often become the Innovators of the most recent generation. We then examine the potential financial benefits to be gained by addressing this resistant population.     

Gadget lovers

Marketers in firms that routinely produce high-tech innovations want rapid adoption of their products. Many believe the consumer segment that is targeted initially should consist of people who adopt innovative technology relatively early and are influential sources of information that others use as references for their own behavior. A set of adopters who might meet these requirements, but have not been the focus of prior scholarly research, are gadget lovers. This article provides insights into this segment, proposes a scale to measure its key characteristics, and reports the results of a group interview and four additional studies that support the validity of the scale (n ₁ = 1,655, n ₂ = 789, n ₃ = 1,366, and n ₄ = 188). The gadget lover scale explains adoption-related behaviors beyond the variance accounted for by technological innovativeness and key demographic variables.