Drawing on previous literature on dynamic capability view (DCV), we examine the effects of data analytics capabilities (BDAC) on organizational ambidexterity and the paradoxical tensions between exploration and exploitation in the Malaysian banking sector. Although banks are often considered as mature commercial organizations, they are not free of issues concerning technological advancement and organizational changes for long-term competitiveness. Through statistical analysis by using data from 162 bank managers in Malaysia, it is confirmed that BDAC positively influences the two contradictory aspects of organizational ambidexterity (i.e., explorative dynamic capabilities and exploitative dynamic capabilities), and explorative dynamic capabilities also mediate the positive relationship between BDAC and exploitative marketing capabilities. The findings provide meaningful insights to researchers and bank managers on how to obtain sustainable competitive advances in the current digital era.
The tourism and hospitality industry has been deeply disrupted by the COVID-19 pandemic since its inception in December 2019. Many tourists are too anxious to travel. Thus, understanding how travel constraints and perceived travel risk influence travel intention is crucial for many destinations in their post-crisis recovery. Drawing upon 357 Malaysian respondents, this study finds that structural constraints initiate tourists' negotiation process for travel decisions, which is inconsistent with the original Leisure Constraints Model. Nevertheless, it is reaffirmed that intrapersonal constraints remain the centrality of the negotiation process as they mediate the relationship between structural constraints, perceived travel risk and travel intention. These findings provide some theoretical contributions with regard to the Leisure Constraints Model and perceived travel risk in the context of the COVID-19. Based on the theoretical contributions, this study also sheds light on tourism revival from a practical perspective. Tourism authorities, destination marketing organizations, and business operators are suggested to take measures to restore tourists' confidence toward travel by reducing structural constraints and mitigating tourists' risk perception in a cooperative manner.
Food waste is a serious problem with regard to social equity and environmental challenges across the world. In recent decades, a dramatic growth of restaurant food waste has been seen in China. This study integrated the norm activation model (NAM), Chinese cultural values (i.e. face saving and group conformity) and information publicity to examine young Chinese consumers' food waste behaviors in a dining-out context. By drawing data from 311 respondents from Shenyang, Northeast China, this research finds that Chinese cultural values significantly influence personal norms and food waste practices. Meanwhile, publicized information could effectively shape cultural values and food waste behaviors. This study advances our understanding of young Chinese consumers' food waste behaviors from the perspective of cultural values and information publicity, which sheds light on how to mitigate the food waste challenge for policy makers, relevant NGOs, food service providers and even individuals.
The COVID-19 pandemic has deeply influenced the tourism and hospitality industry, and it has also reshaped people's travel preferences and related behaviors. As a result, how prospective travelers perceive travel constraints and their effects on future travel behaviors may have changed to some extent. Besides, such perception arguably varies across gender. Therefore, this research examines the interplay between travel constraints, gender, and travel intentions for facilitating robust tourism recovery by revisiting the Leisure Constraints Model (LCM) from a gender perspective. Data were collected through a survey from 357 Malaysian prospective travelers. By conducting path analysis and multigroup analysis (MGA), it is found that structural and interpersonal constraints impose indirect effects on travel intentions (mediated by intrapersonal constraints), and gender moderating the effect of structural cost on intrapersonal constraints and effect of intrapersonal constraints on travel intentions. Based on these findings, this research provides theoretical and practical implications into how to adjust their marketing strategies and travel products during the era of "new normal" for tourism policy makers, destination marketers, and related businesses.
Nipah virus and Hendra virus are closely related and following natural or experimental exposure induce similar clinical disease. In humans, encephalitis is the most serious outcome of infection and, hitherto, research into the pathogenesis of henipavirus encephalitis has been limited by the lack of a suitable model. Recently we reported a wild-type mouse model of Hendra virus (HeV) encephalitis that should facilitate detailed investigations of its neuropathogenesis, including mechanisms of disease recrudescence. In this study we investigated the possibility of developing a similar model of Nipah virus encephalitis.
The EEG features of different emotions were extracted based on multi-channel and forehead channels in this study. The EEG signals of 26 subjects were collected by the emotional video evoked method. The results show that the energy ratio and differential entropy of the frequency band can be used to classify positive and negative emotions effectively, and the best effect can be achieved by using an SVM classifier. When only the forehead and forehead signals are used, the highest classification accuracy can reach 66%. When the data of all channels are used, the highest accuracy of the model can reach 82%. After channel selection, the best model of this study can be obtained. The accuracy is more than 86%.
Ionogels prepared from ionic liquid (IL) have the characteristics of nonevaporation and stable performance relative to traditional hydrogels. However, the conductivities of commonly used ionogels are at very low relative to traditional hydrogels because the large sizes of the cation and anion in an IL impedes ion migration in polymer networks. In this study, ultradurable ionogels with suitable mechanical properties and high conductivities are prepared by impregnating IL into a safe, environmentally friendly water-based polyurethane (WPU) network by mimicking the ion transport channels in the phospholipid bilayer of the cell membrane. The increase in electrical conductivity is attributed to the introduction of carboxylic acid in the hard segment of WPU; this phenomenon regularly arranges hard segment structural domains by hydrogen bonding, forming ionic conduction channels. The conductivities of their ionogels are >28-39 mS cm-1 . These ionogels have adjustable mechanical properties that make the Young's modulus value (0.1-0.6 MPa) similar to that of natural skin. The strain sensor has an ultrahigh sensitivity that ranges from 0.99 to 1.35, with a wide sensing range of 0.1%-200%. The findings are promising for various ionotronics requiring environmental stability and high conductivity characteristics.