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This study aims to provide data references for deposit cleaning, fuel formulation and lubricant formulation.

The engine disassembly procedure was carried out based on the IO540 operation manual part number 60297-10-1-7 document. Except for the normal disassembly and assembly of the engine and the measurement of parts, the main test contents included break-in run operation, cylinder pressure test, oil consumption run, pretest calibration run, post-test calibration test and the most critical endurance test. The Lycoming IO-540-V4V5 engine and the customized Hartzell CK319 propeller were selected for the test run.

The deposits were mainly composed of C, O, B, Al, Br and Pb, which were mainly sourced from fuel, lubricating oil and body materials. XPS analysis showed that the presence of O determined the richness of the deposit components, giving the deposit structure with organic and inorganic components.

This work provides certain data support and reference for subsequent aircraft maintenance, fuel formula and lubricating oil formula. The long-term stability and safety of the aircraft run can be ensured through continuous research, improvement and optimizing the operating of the engine.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-08-2024-0300/

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.

This study investigated how Generation Z adopted brand messages through trending topics and analysed the central and peripheral routes of information adoption. It explored the roles of informational and emotional supports in influencing information adoption through perceived information usefulness and considered the adoption of brand messages within trending topic discussions.

Drawing on the extension information adoption model, this study employed a quantitative approach by utilising covariance-based structural equation modelling to analyse 400 valid web-based questionnaire responses from Sina Microblog users among Generation Z in China.

Adopting brand messages via trending topics, with cues emphasising information quality as the central route and information credibility as the peripheral route, enhances perceived information usefulness. Notably, Generation Z can derive informational and emotional support from trending topic discussions, influencing their perceived information usefulness. This process operates independently of the dual routes of information adoption.

Marketers can leverage influencers and users’ comments to motivate Generation Z to adopt brand messages through trending topics, but this study was limited by the demographic diversity of its sample and the specific types of brands analysed. Incorporating cross-cultural comparisons, group analyses, potential moderating factors and control variables could improve the model’s generalisability.

Compared to information adoption models rooted in the organisational information exchange, the originality of this study lies in confirming that, within the context of trending topics, which blend social connections with an anonymous environment, informational and emotional supports can serve as additional cues influencing brand information adoption via perceived information usefulness.

This research explores the impact of approach and avoidance drivers on users’ discontinuance usage intention (DUI) in social commerce (s-commerce). It also examines the mediating role of perceived enjoyment and the moderating role of autotelic personality traits.

Using a purposive sample of 465 s-commerce users in Malaysia, data analysis was conducted using partial least squares structural equation modeling (PLS-SEM).

This study demonstrates that informational support is a key approach driver, enhancing perceived enjoyment and reducing perceived deception and DUI. Although perceived deception does not directly affect perceived enjoyment, it significantly predicts DUI. Additionally, the impact of informational support on DUI is mediated by perceived enjoyment and moderated by autotelic personality.

S-commerce stakeholders, including platform developers, sellers and policymakers, can leverage these findings to foster a sustainable s-commerce environment. Implementing the proposed strategies can enhance perceived enjoyment and reduce DUI among current users.

This research advances s-commerce marketing and IS discontinuance studies by extending the approach-avoidance motivations model (AAMM) into s-commerce and incorporating autotelic personality as a moderating factor provides new insights into user DUI in this evolving field.

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.

Pores are the primary cause of fatigue failure in laser-directed energy deposition (L-DED) titanium alloys, which are largely determined by their location, size and shape. It is crucial for promoting the application of L-DED titanium alloys and ensuring their safety that establishing a fatigue life prediction method induced by pores, resulting in a proposed fatigue life prediction framework for L-DED Ti-6Al-4V based on a physics-informed neural network (PINN) algorithm.

In this study, a novel fatigue life prediction framework for L-DED Ti-6Al-4V based on a PINN algorithm was proposed. The influence patterns of various fatigue-sensitive parameters were revealed. The paper also included validation and analysis of the method, such as hyperparameter analysis of the PINN, efficacy analysis driven by physical information and comparative analysis of different methods.

The proposed method demonstrated high accuracy, with a correlation coefficient of 0.99 with experimental life. The coefficient of determination was 0.95 and the mean squared error was 0.06.

The results indicate that the proposed fatigue life prediction framework was of strong generalization capability and robustness.

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.

Visual simultaneous localization and mapping (SLAM) methods suffer from accumulated errors, especially in challenging environments without loop closure. By constructing lightweight offline maps and using deep learning (DL)-based technology in the two stages, i.e. image retrieval and feature matching, the goal is to reconstruct the six-degree-of-freedom (6-DoF) relationship between SLAM sequences and map sequences. This study aims to propose a comprehensive coarse-to-fine 6-DoF long-term visual relocalization assisted SLAM method specifically designed for challenging environments, aiming to achieve more accurate pose estimation.

First, image global feature matching and patch-level global feature matching are conducted to achieve optimal frame-to-frame matching. Second, a DL network is introduced to extract and match features between the most similar frames, enabling point-to-point motion estimation. Finally, a fast pose graph optimization method is proposed to achieve real-time optimization of the pose in the SLAM sequence.

The proposed method has been successfully validated on the real-world FinnForest Dataset and UZH-FPV Drone Racing Dataset. The accuracy of the proposed method is evaluated using absolute positional error and absolute rotational error. Experimental results show that in most cases, there are significant improvements in the root mean square error and the standard deviation of the error in pose estimation, and it performs better than loop closure in terms of accuracy. This indicates that the method has strong generalizability and robustness.

The main contribution of this study is the proposal of a complete DL-based coarse-to-fine 6-DoF long-term visual relocalization method to assist vSLAM, which demonstrates enhanced robustness and generalizability and can eliminate cumulative errors in pose estimation under challenging environments.