![]() The survey data of this study were first analyzed using confirmatory factor analysis and hierarchical regression analysis for testing the hypotheses of the study. The hypotheses developed in this study were empirically tested by collecting three-source data from a leading international business company in Taiwan's high-tech industry. At the same time, competence enhancement is examined as a moderator that influences the effects of social interaction and self-efficacy. This study aims to clarify through what mediating mechanism employees' social interaction and self-efficacy can substantially influence their job performance. This study draws upon the theory of eudaimonic motivation to develop a model that explains job performance in high-tech industry. Lastly, this study contributes to people's intention towards preparation for natural disasters which can be applied and extended for other calamities worldwide. This study is considered the first study that measured intention to prepare for tsunami holistically. Moreover, the findings of this study may be applied to other countries that may be affected by tsunamis. This study presented practical and government implications for promoting mitigation and preparedness among people for tsunami. It could be deduced that when people understand the impact, severity, vulnerability, and aftermath brought by tsunamis, individuals would have a high positive relationship to attitude to prepare for tsunamis. In addition, attitude on intention to prepare showed a significant direct relationship, which led to an understanding of tsunami having an indirect effect on intention to prepare through PS, PV, and attitude. Through the use of structural equation modeling, factors such as understanding tsunami affecting perceived severity (PS) and perceived vulnerability (PV) were seen to be the most significant relationship. A total of 736 valid responses collected via convenience sampling answered a self-administered cross-sectional online survey to measure the behavioral aspects holistically. This study aimed to analyze different factors affecting the intention to prepare for tsunamis through the integration of the Theory of Planned Behavior and Protection Motivation Theory. Related studies have dealt with the mapping and routes for efficient evacuation but limited works of literature considered the intention to prepare for tsunamis. The threat brought by natural disasters such as tsunamis is evident since the major chaotic event happened in 2004. ![]() This study provides second-hand retailors and managers with valuable insights into developing successful marketing tactics to attract customers and improve the second-hand industry’s performance in China. As for the second-hand clothing market, “unregulated industry” (10.29%), “fake identification” (8.09%), and “sanitation concern” (5.88%) are the three most mentioned problems in China. Concerns about poverty association and the sanitation conditions of second-hand clothing are the main purchase barriers for the investigated Chinese young consumers. Moreover, past overseas shopping experiences are found to be a significant booster to second-hand clothing consumption. Instead, their purchase is primarily motivated by treasure-hunting fun. Results show that the vast majority (96%) of the investigated consumers are young people born in the 1990s and 2000s, and they are neither significantly driven by economic nor environmental protection motivations. Specifically, the study conducted a semi-structured online survey with 127 consumers of three second-hand clothing stores in China. In this regard, this study analyzed the motivations and barriers to Chinese consumers’ purchase of second-hand clothes as well as their perceived problems with this industry. However, research regarding this topic is scarce in China, which has also witnessed the rapid growth of the second-hand market in recent years. Second-hand clothing consumption has grown in popularity in recent decades and has also attracted extensive worldwide efforts to investigate the dynamics behind consumers’ purchase behaviours.
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