SUPERVISORS’ SELF-PERCEIVED SOCIAL CLASS AND ETHICS: A Cross-Cultural Analysis
►Chung-wen Chen and John B. Cullen
10.52283/NSWRCA.AJBMR.20150410A02
ABSTRACT
We employed Robert Merton’s anomie theory to examine supervisors’ ethics. We examined whether supervisors with a lower self-perceived social class are more likely to justify ethically suspect behaviors than are those with a higher self-perceived social class and whether cultural values influence this individual-level association. The results did not show that supervisors’ self-perceived social class is able to predict their ethics. However, supervisors’ self perception of social class could explain their ethics under the influences of cultural values, and the statistical report indicated that assertiveness, in-group collectivism, future orientation, humane orientation and the importance of the economy exert a moderating effect on the individual-level relationship between supervisors’ self-perceived social class and ethics. The sample contained 11,728 supervisors from 28 countries.
Keywords: supervisor, social class, ethics, cultural values, anomie theory
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►A NOVEL SALES PREDICTION APPROACH: Competing vs Supporting Networks
Kun Chen, Dejun Xie and Huaiqing Wang
10.52283/NSWRCA.AJBMR.20150410A03
ABSTRACT
Modelling and predicting online sales based on the publicly available data from the online user community are important. In order to improve the accuracy of existing predicting model, we propose a weighted related networks approach to account for the contributions from related products in the same brand (supporting) and category (competing), plus other factors including the claimed past purchases by the user members, the number of reviewers and the relative prices. Three scenarios of such an approach are implemented, compared and tested with a baseline model that is developed based on a traditional approach in literature. The results show that categorical relationship impacts the online sales more significantly in general.
Keywords: sales prediction, sales network, brand and category, online marketing