With global recession and growing international competition among brands, cross-border acquisitions (CBAs) are increasing in the luxury industry. Since country-of-origin (COO) plays a large role in a luxury brand’s image, a CBA that changes the nationality of the company owning the luxury brand and modifies consumer COO knowledge can influence consumer brand perception. This study explores the influence of a luxury brand’s CBA on perceived brand value and the moderation effect of brand loyalty. In the case of a CBA by a company associated with a superior country image, only perceptions of low-loyalty consumers are affected positively by the CBA information. In the case of a CBA by a company associated with an inferior country image, only perceptions of high-loyalty consumers are affected negatively by the CBA information. The result of this study provides a deep understanding of how consumer brand perception is influenced by the changes of brand-country association.
With the shifting healthcare environment, the importance of public healthcare systems is being emphasized, and the efficiency of public healthcare systems has become a critical research agenda. We reviewed recent research on the efficiency of public healthcare systems using DEA, which is one of the leading methods for efficiency analysis. Through a systematic review, we investigated research trends in terms of research purposes, specific DEA techniques, input/output factors used for models, etc. Based on the review results, future research directions are suggested. The results of this paper provide valuable information and guidelines for future DEA research on public healthcare systems.
We propose a network DEA (Data Envelopment Analysis) model that consists of internal and external service processes and employs customer satisfaction as an intermediate factor. Using the proposed model, we calculate four efficiency scores: service productivity score drawn from internal service process, service efficiency score drawn from external service process, overall efficiency score drawn from both internal and external service processes, and management efficiency score calculated without the intermediate output. By analyzing the four efficiency scores, we find that overall efficiency score is well suited to represent a hotel’s comprehensive productivity. Our results support the validity of a network DEA model which includes customer satisfaction for analyzing hotel efficiency. Despite its important role that plays in hotel efficiency, customer satisfaction has been barely considered in the previous hotel efficiency studies. By analyzing hotel efficiency including customer satisfaction, this study sheds new light on the hotel efficiency research area and provides a valuable basis for future research.
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