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Social media played an irreplaceable role in young people’s online social life and information consumption during the COVID-19 pandemic. This research focuses on the impact of excessive information on social media about COVID-19 vaccines on Generation Z's (Gen Z) associated psychological states and long-term vaccine advocacy.

The research conducted structural equation modeling analysis with online survey data from 409 Gen Z citizens in the UK.

The findings suggest that excessive information increased Gen Z social media users' ambivalence and conspiracy beliefs around COVID-19 vaccines, which, in turn, reduced their long-term vaccine advocacy in terms of vaccine acceptance, vaccination intention and vaccine promotion. Importantly, Gen Z’s confidence in government and in the healthcare systems during COVID-19 was effective in helping them overcome the detrimental effects of conspiracy beliefs and ambivalence about long-term vaccine advocacy, respectively.

This research reveals the “dark side” of social media use in the post-pandemic period and highlights the significant roles played by social institutions in mitigating the detrimental effects of Gen Z’s support in social decisions. Beyond the context of COVID-19, this research has important implications for facilitating the civic engagement of Gen Z and boosting their confidence in social institutions in terms of social cohesion.

Balancing accuracy and efficiency is an important evaluation index of response surface method. The purpose of this paper is to propose an adaptive order response surface method (AORSM) based on univariate decomposition model (UDM).

First, the nonlinearity of the univariate function can be judged by evaluating the goodness of fit and the error of curve fit rationally. Second, combining UDM with the order analysis of separate component polynomial, an easy-to-implement AORSM is proposed. Finally, several examples involving mathematical functions and structural engineering problems are studied in detail.

With the proposed AORSM, the orders of component functions in the original response surface can be determined adaptively and the results of those cases in this paper indicate that the proposed method performs good accuracy, efficiency and robustness.

Because just the cases with single failure mode and single MPP are studied in this paper, the application in multi-failure mode and multi-MPP cases need to be investigated in the coming work.

The nonlinearity of the univariate in the response surface can be determined adaptively and the undetermined coefficients of each component function are obtained separately, which reduces the computation dramatically.

Based on univariate dimension-reduction model, this study aims to propose an adaptive anisotropic response surface method (ARSM) and its high-order revision (HARSM) to balance the accuracy and efficiency for response surface method (RSM).

First, judgment criteria for the constitution of a univariate function are derived mathematically, together with the practical implementation. Second, by combining separate polynomial approximation of each component function of univariate dimension-reduction model with its constitution analysis, the anisotropic ARSM is proposed. Third, the high-order revision for component functions is introduced to improve the accuracy of ARSM, namely, HARSM, in which the revision is also anisotropic. Finally, several examples are investigated to verify the accuracy, efficiency and convergence of the proposed methods, and the influence of parameters on the proposed methods is also performed.

The criteria for constitution analysis are appropriate and practical. Obtaining the undetermined coefficients for every component functions is easier than the existing RSMs. The existence of special component functions is useful to improve the efficiency of the ARSM. HARSM is helpful for improving accuracy significantly and it is more robust than ARSM and the existing quadratic polynomial RSMs and linear RSM. ARSM and HARSM can achieve appropriate balance between precision and efficiency.

The constitution of univariate function can be determined adaptively and the nonlinearity of different variables in the response surface can be treated in an anisotropic way.

This paper aims to explore how typical personal, interpersonal and environmental factors influence entrepreneurs' growth aspirations by investigating the impact mechanism of entrepreneurial competency and guanxi on the growth aspirations of small tourism entrepreneurs in a dynamic environment.

Applying social cognitive theory (SCT) and business growth theory (BGT), this research uses confirmatory factor analysis and structural equation modeling (SEM) based on the questionnaire survey data of 371 small tourism business owners/owner-managers to test the relationship between entrepreneurial competency, guanxi and growth aspirations, with self-efficacy as a mediator and environment dynamism as a moderator.

The findings indicate that entrepreneurial competency is a more direct and significant factor than guanxi in facilitating the entrepreneurial growth aspirations in small tourism enterprises (STEs). Entrepreneurial competency and guanxi can both enhance entrepreneurs' self-efficacy, which then affects their aspirations to grow their business. Self-efficacy is a critical predictor of entrepreneurs' growth aspirations in STEs, although its effect is weakened by environmental dynamism.

This study expands the integrated application of SCT and BGT in tourism context, providing a more comprehensive and nuanced interpretation of the growth aspirations of entrepreneurs in STEs. It sheds more light on the effect of different entrepreneurial capital on growth aspirations and provides managerial implications accordingly.

The principal objective of this current research is to explore and test an underlying mechanism to solve the inconsistent relationship between supervisors’ developmental feedback and employee creativity. This study also tests the moderating role of absorptive capacity in fully understanding the relationship between two constructs.

A time-lagged survey was utilized to collect data from 317 employees working at information technology (IT) organizations in Vietnam. This research conducted a hierarchical regression analysis to examine the hypotheses.

This research found that employees’ operational skills fully mediated the link between supervisors’ developmental feedback and employees’ creative performance. Moreover, absorptive capacity positively moderated the relationship between supervisors’ developmental feedback and employees’ operational skills as well as the relationship between employees’ operational skills and employee creativity.

This research is one of the first papers to discuss the mediating role of employees’ operational skills in associating supervisors’ developmental feedback with employee creativity in response to the calls of previous studies. To fully comprehend the indirect impact of supervisors' developmental feedback on workers' creative performance, this research also examines the moderating influence of absorptive capacity at the individual level.