To determine the role of physical self in body-involving consumption, we explore how body image influences purchasing intention toward hybrid products with body-involving features. In this study, we establish the dual nature of body image: specifically, body image influences intention to purchase via the perception of utilitarian value and symbolic value. Further, we find a competitive mediation in which positive body image negatively influences purchase intention, while PBI is positively related to purchase intention via utilitarian and symbolic value. This indicates (...) that without the mediation testing of the utilitarian-symbolic framework, the positive influence of body image will be “hidden.” Additionally, the mediated effect of symbolic value is moderated by personal innovativeness toward technology, suggesting that a consumer’s knowledge of wearables enhances the effect of body image. With the introduction of body image, this paper provides a more comprehensive model to analyze purchase intention with regard to digital products with body-involving features. (shrink)

Guanxi, or social networks common in Confucian cultures, has long been recognized as one of the major factors for success when doing business in China. However, insider networks in business are certainly not confined to Asian cultures, nor is the attendant possibility for corruption. This study obtained original data to investigate current Taiwanese perceptions of (1) how guanxi is established and cultivated; (2) how guanxi actually is practiced now and people’s acceptance of it; and (3) the effects of guanxi on (...) business operations, employment/promotion, and social justice and fairness. The researchers also hope to (4) verify some arguments made by pioneering researchers. The authors speculate on how these attitudes may affect behavior in business transactions in hopes of making readers more aware of differing cultural values that may create unexpected ethical dilemmas. They suggest that professional ethical codes should provide guidance on the practice of guanxi in a Confucian society and that special emphasis or training in interpreting those codes may be required. (shrink)

The paper reports an investigation on whether valid results can be achieved in analyzing the structure of datasets although a large percentage of data is missing without replacement. Two types of confirmatory factor analysis models were employed for this purpose: the missing data CFA model with an additional latent variable for representing the missing data and the semi-hierarchical CFA model that also includes the additional latent variable and reflects the hierarchical structure assumed to underlie the data. Whereas, the missing data (...) CFA model assumes that the model is equally valid for all participants, the semi-hierarchical CFA model is implicitly specified differently for subgroups of participants with and without omissions. The comparison of these models with the regular one-factor model in investigating simulated binary data revealed that the modeling of missing data prevented negative effects of missing data on model fit. The investigation of the accuracy in estimating the factor loadings yielded the best results for the semi-hierarchical CFA model. The average estimated factor loadings for items with and without omissions showed the expected equal sizes. But even this model tended to underestimate the expected values. (shrink)

Plasmids are a major type of mobile genetic elements (MGEs) that mediate horizontal gene transfer. The stable maintenance of plasmids plays a critical role in the functions and survival for microbial populations. However, predicting and controlling plasmid persistence and abundance in complex microbial communities remain challenging. Computationally, this challenge arises from the combinatorial explosion associated with the conventional modeling framework. Recently, a plasmid‐centric framework (PCF) has been developed to overcome this computational bottleneck. This framework enables the derivation of a simple (...) metric, the persistence potential, to predict plasmid persistence and abundance. Here, we discuss how PCF can be extended to account for plasmid interactions. We also discuss how such model‐guided predictions of plasmid fates can benefit from the development of new experimental tools and data‐driven computational methods. (shrink)