Purpose Based on self-consistency theory and conservation of resource theory, this study aims to discuss the impact of career calling congruence on employees’ innovation performance (IP) and analyzes the mediating effect of work passion [harmonious passion (HP) and obsessive passion (OP)]. Design/methodology/approach To avoid serious common method biases, data in this paper were collected at three-wave. This paper investigated 381 employees to assess their career calling in time 1, measured their work passion in time 2 and assessed the IP of these employees in time 3. This paper also conducts confirmatory factor analysis, polynomial regression, response surface analysis, bootstrapping test and simple slope test to verify the research hypothesis in this paper. Findings In the career calling congruence case, employees’ HP, OP and IP are higher when both levels of serving oneself career calling and helping others career calling are high than when both are low; In the career calling incongruence case, employees’ HP, OP and IP are higher in the “low serving oneself and high helping others” case than in the “high serving oneself and low helping others” case; The more congruent the “serving oneself” and “helping others” career calling are, the higher the employees’ HP, OP and IP will be; and HP and OP mediate the relationship between career calling congruence and IP. Originality/value This study further clarifies the structure of career calling and find the positive effects of career calling on IP. The results present a deeper understanding of career calling and are universal applicable to the eastern culture context.

In the mobile era, more and more financial institutions are beginning to cooperate with financial technology companies to enhance services and attract customers. The emergence of 5G technology has provided new choices for financial institutions, and the impact of the 5G ecosystem on financial companies and mobile banking is self-evident. With its strong security and speed, 5G technology will greatly shorten the trading cycle and transaction delay, and the capital market will also usher in a revolution. 5G technology will bring more customers and market share to financial institutions and financial technology. In terms of financial technology innovation and application services, 5G will increase productivity and customer satisfaction. The financial services industry hopes that 5G will improve real-time mobile trading and high-frequency trading. Safety is the most critical of the financial sector, 84 percent of financial services executives pay more attention to the potential of 5G provides a more secure transactions. This paper studies financial technology to promote business innovation, reduce risks in the financial sector, and promote high-quality economic development. Relying on high-speed, large-bandwidth, low-latency mobile 5G networks, it is carried out in the backbone network technology evolution, computer room drone inspection, and cash box transportation path monitoring.

Our research investigates the connection between firm characteristics and leverage based on a sample of firms listed in the Chinese Stock Index 300. We aim to examine the sustainability of the financial structure of Chinese enterprises covering the period 2010–2019. We employ a conditional quantile regression that discloses the behavior of regressions across the leverage distribution and compares its results for different leverage levels with those achieved by the linear regression model. The results confirm the effects of the determinants of capital structure change since the quantile of leverage varies. We find that both the trade-off theory (TOT) and the pecking order theory (POT) confirm the validity of Chinese firms’ financing decisions at different quantiles of leverage. Specifically, the empirical results support the POT more over the TOT at higher levels of the quantile. Furthermore, the relationship between firm size and leverage strongly switches to support the POT at the highest quantile. All empirical results are obtained from quantile regression, consistent with the prediction for an increase in asymmetric information of the POT when Chinese firms employ more debt in their capital structure.

Time pressure (TP) is the most common kind of pressure faced by R&D teams. How to improve team innovation performance (TIP) when time resources are insufficient has been a concern of practitioners and scholars. The purpose of this paper is to put forward some suggestions to solve that time dilemma. We conducted a survey based on a sample of 163 teams. In the first-stage survey (time 1), we measured the team temporal leadership (TTL) and TP. In the second-stage survey (time 2), we measured team learning behavior (TLB). TIP was measured in the third-wave survey (time 3). The results are as follows: (i) TTL has a significant positive impact on the TLB and TIP; (ii) TLB plays a mediating role in the relationship between TTL and TIP; and (iii) TP can positively moderate the relationship between TTL and TLB, that is, the promoting effect of TTL on TLB is more pronounced under the higher level of TP. These findings reveal the influence mechanism of TTL on TIP from the perspective of TLB and TP.

The coronavirus disease 2019 (COVID-19) caused by a novel coronavirus, severe acute respiratory syndrome coronavirus 2, has caused a large death, a range of serious health problems, and significant economic costs in many countries around the world. This study analyzes statistical characteristics of pandemic disasters using historical records since the Middle Ages. Compared to literature which studies the effect of the COVID- 19 pandemic on the financial market, this paper attempts to find two financial instruments in the financial market to hedge pandemic risks. Two instruments could be useful for public health care schemes to increase their assets or decrease their liabilities during the pandemic period, namely, assets in the form of a biotechnology investment portfolio and liabilities in the form of pandemic bonds. Empirical results show the feasibility of such instruments and the informational efficiency of the U.S. stock market.