Search results

While psychology, sociology and communications studies hypothesise a range of independent variables that might impact on individuals’ acceptance or rejection of rumours, almost all studies of the phenomenon have taken place in environments featuring notable, and sometimes very deep, partisan divisions, making it almost impossible to isolate the impact of partisan influences on views on different rumour subjects. This study aims to remove the possibility of partisan influences on readers of internet rumours by testing the impact of independent demographic variables in China, a one-party state with no overt partisan divisions. The study provides an opportunity to strip away the influence of ideology and see whether this factor may have coloured previous studies on susceptibility to believe rumours.

An empirical study was used to examine belief in false and true online rumours in a non-partisan environment. A large sample group was presented with rumours across four subject areas and respondents’ conclusions and demographic information was then subject to logistic regression analysis to identify relationships between factors and ability to identify the veracity of online rumours.

Unexpectedly, the regression analysis revealed no statistically significant nexus between many independent demographic variables and patterns of believing or disbelieving rumours. In other cases, a statistically significant relationship was revealed, but only to a limited degree. The results suggest that once the role of partisanship in explaining the proliferation of and belief in false rumours and the ability to identify true ones is removed from consideration, no other independent variables enjoy convincing links with rumour belief.

The study tests in China, a jurisdiction featuring a non-partisan environment, the impact of independent variables on media users’ belief in a wide range of rumours.

Research on new internet venture growth is lacking. The purpose of this paper is to address the gap by developing and testing a theoretical model that links venturing principles (effectuation or causation) to new internet venture growth through resource bundling (pioneering or stabilizing).

The proposed theoretical model is developed upon the entrepreneurship literature and resource-based view. Empirical data are collected from entrepreneurs and top executives in China via a survey. The Baron and Kenny (1986) mediation model assessment procedure is used to analyze the data.

Both effectuation and causation are positively associated with new internet venture growth. Effectuation leads to pioneering resource bundling, which in turn contributes to new internet venture growth. Causation also contributes to new internet venture growth, but through stabilizing resource bundling.

This research helps link the theory of effectuation to resource-based theory by revealing resource bundling as the mediator between effectuation, causation, and new venture growth. Moreover, the authors provide empirical evidence of the importance of resource bundling with entrepreneurial strategic decision logics to the growth of new internet ventures in transitional economies.

Entrepreneurs and managers of new internet ventures should leverage both venturing principles to support growth. Internet ventures generally are creative and innovative in nature, hence favor effectuation. But it will be unwise to ignore causation, which also leads to growth.

This is an original empirical research guided by theories. It is a novel insight to identify the mediating effect of resource bundling. This study likely will inspire more scholarly research on the subject. It also lays a solid foundation for further inquiry such as complementarities between effectuation and causation.