Banks’ primary goal is to gain profit for survival and to thrive. Therefore, they have to take various measures, such as data analysis, to maintain their sustainable competitiveness. Along with the rapid development of information technology, big data analytics capabilities (BDAC) is considered essential for banks in the highly dynamic market. To gain an in-depth understanding of the economic importance of BDAC in the banking sector in Malaysia, this research examines the relationship between BDAC and firm performance (i.e., market performance and operational performance) based on the resource-based view (RBV) and the contingent resource-based view (CRBV). The partial least squares structural equation modelling (PLS-SEM) was adopted to analyse the collected data from 162 bank managers in Malaysia. The findings verify that BDAC is composed of seven tangible/intangible resources and human skills, and it significantly influences firm performance in the banking sector.
29 March 2022 in Journal of China Tourism Research
This research aims to explore the relationship between travel motivations and information sharing behaviors on social media in a context of Confucianism, and examine whether there are significant differences across gender. Partial least squares – structural equation modeling (PLS-SEM) was used for data analysis. By conducting a multigroup analysis (MGA), it is found that there are significant differences between three travel motivations (i.e. exciting experiences, escape and relationship/socializing) and travel information sharing between Chinese Gen Y males and females. More significantly, gender-based differences reveal a combination of traditionality and modernity of social norms guiding Chinese Gen Y’s travel motivations and online information sharing behaviors. This paper makes theoretical contributions to tourism literature with regard to Chinese tourists and China’s outbound tourism market by comparing Gen Y males and females in a Confucianism context. Furthermore, marketing implications and future research directions are provided.
As a typical cultural concept being deeply rooted in Chinese society, “face” regulates many social behaviors in China. However, research on the social aspect of “face” is limited in tourism studies. This study applies an extended TPB model incorporating face gaining for examining millennials’ outbound travel intention from mainland China. By analyzing data from 350 Chinese millennial tourists, we find that face gaining has an indirect impact on outbound travel intention through attitude (ATT), subjective norm (SN) and perceived behavioral control (PBC). Based on the findings, the research provides some insights regarding “face gaining” in travel behavior, and destination marketing on Chinese millennials.