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The increasing popularity of live-streaming commerce has provided a new opportunity for e-retailers to boost sales. This study integrated signaling theory and social exchange theory to investigate how streamer- and product-centered signals influence customers’ likelihood of making an impulsive purchase in the live-streaming commerce context.

An online survey was designed and distributed to the target respondents in China using purposive sampling. A total of 735 valid responses were analyzed with partial least square structural equation modeling (PLS-SEM).

Both streamer-centered signals, i.e. streamer credibility and streamer interaction quality, were discovered to significantly influence product-centered signal, i.e. product information quality. Additionally, streamer interaction quality was found to have a significant impact on streamer credibility. Furthermore, it was observed that customer engagement played a significant mediating role in the relationship between product information quality and impulsive buying tendency. Moreover, the paths between product information quality and customer engagement, as well as the connection between engagement and impulsive buying tendency, were found to be moderated by guanxi orientation.

Despite the prevalence of impulsive purchases in live-streaming commerce, few studies have empirically investigated the impact of streamer and product signals on influencing customers’ impulsive purchase decisions. Consequently, to the best of our knowledge, this study distinguishes itself by offering empirical insights into how streamers use reciprocating relationship mechanisms to communicate signals that facilitate impulsive purchase decisions.

In high-tech markets, innovation is always generative and continuous both within the iteration in a product's development process and throughout the upgrade of multi-generational products. Inspired by this practical phenomenon, this study aims to explore the mechanism of innovation generativity and continuity to explain how future innovations benefit from current innovations.

The study conducted qualitative research to explore innovation generativity and continuity by investigating five electronic information enterprises. The authors employed the ambidexterity perspective to explore the research question.

The authors found innovation generativity has three dimensions: inheritance, metabolism and inspection. These three dimensions and their interactions are what forms the mechanism of innovation generativity and continuity. The authors also found many paradoxes that prompt enterprises to pursue innovation generativity and continuity, and through this innovation process, enterprises are able to attain continuous innovation.

This study theoretically uncovers “how” to carry out innovation generativity and continuity, as well as the antecedents and the outcome. The findings contribute to research on product innovation, continuous innovation and ambidexterity, and have implications for managers who seek to improve innovation generativity and continuity.

Livestream selling is becoming an increasingly popular practice adopted by online retailers to develop a consumer-centric supply chain (CCSC). It improves consumer experience by integrating chat, watch and purchase functions, while also altering consumer behaviors by increasing impulse purchases. Online retailers’ responses to this change potentially impact suppliers’ operational processes. This study aims to empirically examine how livestream selling affects suppliers’ operational performance in terms of lead time and how suppliers’ product variety and order fulfillment capabilities moderate such an impact.

Using data from a leading online retailer in China, the authors use a least squares model with fixed effects to test the relationships. Both the two-stage instrumental variable model and the two-stage Heckman model are used to address potential endogeneity in this study.

The findings show that retailers’ usage of livestream selling can increase suppliers’ lead time. Furthermore, the negative impact is enhanced when a supplier has a higher level of product variety or a weaker order fulfillment capability.

This study explores how livestream selling alters consumer behavior, adversely affecting upstream suppliers’ operational performance. It underscores the need for a CCSC approach across all tiers, not just those closest to consumers. To achieve this, the research suggests that suppliers must align their capabilities with retailers’ consumer-centric practices to develop a CCSC, particularly by improving order fulfillment capability and cautiously expanding their product variety in livestream selling. The research further highlights the importance for retailers to consider changes in lead time to enhance the application of traditional inventory theory in the context of livestream selling.

Previous research on narcissism and leadership seldom takes into account the leader–subordinate dyadic relationship and ignores the role of subordinate. Drawing on the contextual reinforcement model of narcissism, the purpose of this study is to explore the joint effects of both leaders’ and their subordinates’ narcissism on the former’s effectiveness through the latter’s perceived relationship conflict with them (RCWL).

Self-report data were collected from 315 full-time employees using a three-wave survey. Polynomial regression and response surface analysis were used to test the hypotheses.

The results of this study reveal that although RCWL is higher when leaders’ narcissism is higher along both congruence and incongruence line, RCWL is lower when leaders’ narcissism exceeds that of their subordinates than it falls short of subordinates’ narcissism when both leader’s and subordinate’s narcissism are low. Furthermore, the results of this study also demonstrate that leader–subordinate (in)congruence in narcissism has an indirect influence on the leaders’ effectiveness because of the resulting relationship conflict, and that the response surface of the total effect of joint narcissism on leader effectiveness possesses a convex surface, which demonstrates that leader effectiveness is lower at the median point when compared to the low- and high-level congruence points.

This study not only contributes to fit theory, vertical relational conflict and research on narcissistic leader by simultaneously investigating both leaders’ and subordinates’ narcissism and their joint influence on leader–subordinate relational conflict and leaders’ effectiveness but also offers several practical recommendations for companies to enhance leaders’ effectiveness.

This study examines whether Confucian culture can promote enterprise total factor productivity (TFP), and it also studies how transmission mechanism works on enterprise TFP.

Based on the data of A-share listed companies on Shanghai and Shenzhen stock markets from 2008 to 2019, this study measures the influence of Confucian culture on enterprise TFP by the number of Confucian academies and Confucian temples within three radius ranges of a company's registered address.

The empirical results show that Confucian culture has a positive effect on the enterprise TFP. The transmission mechanism test shows that Confucian culture can promote the TFP of Chinese enterprises through reducing agency cost, improving agency efficiency and enhancing innovation.

The findings in this study provide implications for policymakers, scholars and enterprises. The results show that Confucian culture can enhance the TFP of Chinese enterprises. Especially in emerging markets including China, the Confucian culture, as an informal institution, can effectively complement formal institutions, promoting enterprise TFP.

This study expands the literature on Confucian culture in two aspects: the influence of Confucian culture on TFP and its transmission mechanism. To the authors' knowledge, this is the first study to identify a link between Confucian culture and enterprise TFP.

Work interruptions (WIs) due to social media are becoming more and more common in the daily lives of organizations. However, the relationship between WI and work performance of employees is still unclear. This study aims to investigate the effects of WIs due to social media on employees' work performance in terms of different mechanisms; it also considers the moderating role of social media usage.

Using the jobs demands-resource (JD-R) model, this paper proposes a research model to investigate the effects of WIs on employee work performance from the perspective of the enabling mechanism and burden mechanism. Structural equation modeling (SEM) was used to analyze the data of 444 employees.

The results show that (1) with regard to the enabling mechanism path, WI has a positive effect on employees' sense of belonging, which further has a positive effect on employees' work performance; (2) with regard to the burden mechanism path, WI has a positive effect on employees' interruption overload; however, the effect of employee interruption overload on employees' work performance is not significant, and (3) social media used for either work or social purposes can strengthen the relationship between WI and interruption overload, while social media used for work-related purposes can reduce the relationship between WI and a sense of belonging.

First, this paper contributes to the WI literature by clarifying how WI affects employees' work performance through different mechanisms, namely the enabling mechanism and the burden mechanism. Second, this paper contributes to the WI literature by revealing a boundary condition, namely social media use, between WI and a sense of belonging and between WI and employees' interruption overload.

This study aims to propose a cloud platform architecture considering information sharing based on blockchain to realize the security and convenience of enterprise information sharing in the automotive supply chain.

A bilateral matching model considering enterprises information contribution stimulates information sharing and improves the efficiency and quality of supply and demand matching. Three smart contracts are used to complete the information sharing process and match supply and demand in the automotive supply chain.

The system is tested on the local Ganache private chain, and the decentralized web page is designed based on the architecture prototype.

Solve the problem of information island in automobile supply chain.

Considering the frequency of extreme events, enhancing the global financial system's stability has become crucial. This study aims to investigate the contagion effects of extreme risk events in the international commodity market on China's financial industry. It highlights the significance of comprehending the origins, severity and potential impacts of extreme risks within China's financial market.

This study uses the tail-event driven network risk (TENET) model to construct a tail risk spillover network between China's financial market and the international commodity market. Combining with the characteristics of the network, this study employs an autoregressive distributed lag (ARDL) model to examine the factors influencing systemic risks in China's financial market and to explore the early identification of indicators for systemic risks in China's financial market.

The research reveals a strong tail risk contagion effect between China's financial market and the international commodity market, with a more pronounced impact from the latter to the former. Industrial raw materials, food, metals, oils, livestock and textiles notably influence China's currency market. The systemic risk in China's financial market is driven by systemic risks in the international commodity market and network centrality and can be accurately predicted with the ARDL-error correction model (ECM) model. Based on these, Chinese regulatory authorities can establish a monitoring and early warning mechanism to promptly identify contagion signs, issue timely warnings and adjust regulatory measures.

This study provides new insights into predicting systemic risk in China's financial market by revealing the tail risk spillover network structure between China's financial and international commodity markets.

In the practice of live streaming e-commerce, the consumer demand is usually uncertain, and the inventory and prices can be decided by brand owners or streamers. To this end, this study examines the inventory and pricing decisions of the brand owner and streamer in a live streaming e-commerce supply chain under demand uncertainty.

In this study, four scenarios are considered, i.e. the brand owner determines the inventory and price (Scenario BB), the brand owner determines the inventory and the streamer determines the price (Scenario BS), the streamer determines the inventory and the brand owner determines the price (Scenario SB), and the streamer determines the inventory and price (Scenario SS).

The results show that the inventory and prices, as well as the profits of the brand owner and streamer increase with the consumer sensitivity to streamer’s sales effort level under the four scenarios. The inventory (price) is the highest under Scenario SS (SB), while that is the lowest under Scenario BB (BS). In addition, when the sensitivity is low, the brand owner’s profit is the highest under Scenario BB, otherwise, the profit is the highest under Scenario SS. Regardless of the sensitivity, the streamer’s profit is always the highest under Scenario SS.

Few studies focused on the inventory and pricing decisions of brand owners and streamers in live streaming e-commerce supply chains under demand uncertainty, while this work bridges the research gap. This study can provide theoretical basis and decision support for brand owners and streamers.

As a contribution to the social ties and dynamic capabilities literature, the purpose of this study is to examine the boundary role of the industrial factors (competitive intensity, dependence on suppliers and demand uncertainty) on the relationship between small and medium-sized enterprises (SMEs) social ties (business ties and political ties) and firm performance.

Data were collected from 1,077 SME top-level managers in Turkiye. The proposed model is analyzed using partial least squares (PLS) path modeling in SmartPLS 4.0 software.

The results elucidate how demand uncertainty serve to moderate the influence exerted by both business and political ties upon the performance of SMEs. However, the moderating effects of competitive intensity and dependence on suppliers, although initially hypothesized, were not found to have a significant impact on the relationships.

The relevance of social ties of SMEs may depend on the industrial factor. Although both political and business ties are effective on the customer side, these ties may become irrelevant when it comes to competition and supplier relations. In competitive SME settings, where businesses are vying for similar markets, the effectiveness of ties might be questionable. In such cases, SMEs might invest in building in-house capabilities and competencies, rather than relying on their relational networks.

This study contributes to the understanding of how relational networks, which are considered as dynamic managerial capabilities, impact SMEs performance. It also fills an important gap by testing the boundary role of industrial factors on this relationship. The empirical data is collected from the Turkish context, which is also an original aspect of the study, considering most of the social ties literature has a limited focus on a few contexts. The results also indicate new areas for discussion and exploration, indicating potential avenues for further research.