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This study aims to design an optimized algorithm for low-cost pedestrian navigation system (PNS) to correct the heading drift and altitude error, thus achieving high-precise pedestrian location in both two-dimensional (2-D) and three-dimensional (3-D) space.

A novel heading correction algorithm based on smoothing filter at the terminal of zero velocity interval (ZVI) is proposed in the paper. This algorithm adopts the magnetic sensor to calculate all the heading angles in the ZVI and then applies a smoothing filter to obtain the optimal heading angle. Furthermore, heading correction is executed at the terminal moment of ZVI. Meanwhile, an altitude correction algorithm based on step height constraint is proposed to suppress the altitude channel divergence of strapdown inertial navigation system by using the step height as the measurement of the Kalman filter.

The verification experiments were carried out in 2-D and 3-D space to evaluate the performance of the proposed pedestrian navigation algorithm. The results show that the heading drift and altitude error were well corrected. Meanwhile, the path calculated by the novel algorithm has a higher match degree with the reference trajectory, and the positioning errors of the 2-D and 3-D trajectories are both less than 0.5 per cent.

Besides zero velocity update, another two problems, namely, heading drift and altitude error in the PNS, are solved, which ensures the high positioning precision of pedestrian in indoor and outdoor environments.

This paper aims to explore a structural optimization method to achieve the lightweight design of an aviation control stick part manufactured by laser powder bed fusion (LPBF) additive manufacturing (AM). The utilization of LPBF for the fabrication of the part provides great freedom to its structure optimization, further reduces its weight and improves its portability.

The stress distribution of the model was analyzed by finite element analysis. The material distribution path of the model was optimized through topology optimization. The structure and size of the parts were designed by applying honeycomb structures for weight reduction. The lightweight designed control stick part model was printed by LPBF using AlSi10Mg.

The weight of the control stick model was reduced by 32.64% through the optimization method using honeycomb structures with various geometries. The similar stress concentrations of the control stick model indicate that weight reduction has negligible effect on its mechanical strength. The maximum stress of the lightweight designed model under loading is 230.85 MPa, which is 61.81% larger than that of the original model. The lightweight control stick part manufactured by LPBF has good printability and service performance.

A structural optimization method integrating topology, shape and size optimization was proposed for a lightweight AlSi10Mg control stick printed by LPBF. The effectiveness of the optimization method, the printability of the lightweight model and the service performance of LPBF-printed AlSi10Mg control stick was verified, which provided practical references for the lightweight design of AM.

This study aims to focus on the optimized design and mechanical properties of gradient triply periodic minimal surface cellular structures manufactured by selective laser melting.

Uniform and gradient IWP and primitive cellular structures have been designed by the optimized function in MATLAB, and selective laser melting technology was applied to manufacture these cellular structures. Finite element analysis was applied to optimize the pinch-off problem, and compressive tests were carried out for the evaluation of mechanical properties of gradient cellular structures.

Finite element analysis shows that the elastic modulus of IWP increased as design parameter b increased, and then decreased when parameter b is higher than 5.5. The highest elastic modulus of primitive increased by 89.2% when parameter b is 6. The compressive behavior of gradient IWP and primitive shows a layer-by-layer way, and elastic modulus and first maximum compressive strength of gradient primitive are higher than that of gradient IWP. The effective energy absorption of gradient cellular structures increased as the average porosity decreased, and the effective energy absorption of gradient primitive is about twice than that of gradient IWP.

This paper presents an optimized design method for the pinch-off problem of gradient triply periodic minimal surface cellular structures.

Fine-tuning pre-trained language models (PLMs), e.g. SciBERT, generally require large numbers of annotated data to achieve state-of-the-art performance on a range of NLP tasks in the scientific domain. However, obtaining fine-tuning data for scientific NLP tasks is still challenging and expensive. In this paper, the authors propose the mix prompt tuning (MPT), which is a semi-supervised method aiming to alleviate the dependence on annotated data and improve the performance of multi-granularity academic function recognition tasks.

Specifically, the proposed method provides multi-perspective representations by combining manually designed prompt templates with automatically learned continuous prompt templates to help the given academic function recognition task take full advantage of knowledge in PLMs. Based on these prompt templates and the fine-tuned PLM, a large number of pseudo labels are assigned to the unlabelled examples. Finally, the authors further fine-tune the PLM using the pseudo training set. The authors evaluate the method on three academic function recognition tasks of different granularity including the citation function, the abstract sentence function and the keyword function, with data sets from the computer science domain and the biomedical domain.

Extensive experiments demonstrate the effectiveness of the method and statistically significant improvements against strong baselines. In particular, it achieves an average increase of 5% in Macro-F1 score compared with fine-tuning, and 6% in Macro-F1 score compared with other semi-supervised methods under low-resource settings.

In addition, MPT is a general method that can be easily applied to other low-resource scientific classification tasks.

Drawing on the affect transfer and stakeholder theories, this study aims to examine how the performance of a sports team that a firm owns or sponsors may affect the firm’s market value. It explicates that a sports team wins (loses) in the field raises the public’s positive (negative) affect, which can spill over to the associated firm.

Based on a sample of publicly listed firms in Chinese stock exchanges that are owners or sponsors of soccer teams that competed in the National soccer league of China during 2004–2017, the authors find good support for the hypotheses.

The findings reveal that a firm’s cumulative abnormal return is positively related to its soccer team’s winning and negatively related to the team’s losing, and these relationships are moderated by both firm and match characteristics. By showing a relationship between sports team’s performance and associated firm’s market value, executives need cautions when their firms want to own or sponsor sports team. However, owned sports team’s winning could be a good strategy to improve a firm’s market value.

This study enriches the spillover literature and deepens the understanding of spillover effect. It provides evidence for the concept of affect transfer and broadens its application scope.

This study aims to explore the combined strategies leading to successful repair of two types of trust in Chinese construction projects and provide an effective guidance and control trust repair in construction projects. During the research period, the author interviewed 150 managers from 50 Chinese construction projects and collected details of 125 violations. The research examines the effect of combined strategy of trust repair in Chinese management scenario.

This study adopted a mixed, quantitative, qualitative and exploratory approach. The author first extracted six strategies, namely, apology, denial, penance, communication, promise and compensation, from the literature review and generalization. Then, the author conducted an interview with 150 managers from 50 China construction projects. And the author analyzed the data through qualitative comparative analysis (QCA).

When competence-based trust is broken, violators should adopt communication and promise, demonstrate their competence and qualification, and change the attributions of competence from the trustor. When integrity-based trust is broken, violators should apologize, actively admit the mistake, show a positive attitude and seek the forgiveness from the trustor. After reconstructing trustors' perceptions of competence or integrity, violators should also make a promise to trustors for the future. The result of this research not only illustrates the sufficiency and necessity of a single strategy for trust repair but also explores the combination of trust repair strategies that rebuild the trust.

This study is limited to 50 construction projects in the Chinese construction context, so conclusions are limited in application. Data used in this research did not provide an in-depth analysis of trust repair failures. Thus, additional research is needed to explore why trust was not repaired. The study is also limited to examining the Chinese construction project organizations only, and future studies should incorporate organizations in other nations and regions.

Compared with using a single strategy, a combined strategy provides a contribution to the future practice of repair broken relationship between construction project organizations. This research helps to organize decisions and benefits managers, from Chinese owners and contractors, in choosing which of these strategies repair trust. The author also provides a specific combination of strategies to repair relationships for international companies that have conflicts with Chinese construction companies.

This research is among the early studies in China that preliminary examines the combined strategy of trust repair between Chinese owners and contractors by using causal attribution theory and QCA. This study makes a valuable contribution toward combined strategy in construction project and the knowledge system of trust repair. Future studies could build on the findings from the current study to develop a cross-cultural research on trust repair.

Although extant studies have investigated the antecedents of negative electronic word of mouth (eWOM), they treated it as a unidimensional concept without classification. To bridge this knowledge gap, this paper distinguishes rational negative eWOM (RNW) from emotional negative eWOM (ENW) and leverages the consumer value framework to investigate their drivers in the context of peer-to-peer accommodation platforms (PPAPs).

This study collected data through an online survey of 437 PPAP users. Partial least squares (PLS) were used to validate the proposed hypotheses. Further, the path coefficients comparison method was adopted to distinguish the different impacts of consumer values on RNW and ENW.

This research showed that self-presentation exerted a positive impact on RNW, but its relationship with ENW was insignificant. Anger and regret were, respectively, positively related to ENW and RNW. Besides, altruism exerted a positive effect on RNW, whereas it had a negative effect on ENW.

First, this paper makes a fresh attempt to categorize negative eWOM into RNW and ENW. Second, this paper draws upon the consumer value framework to dissect varied motivations for posting RNW versus ENW on PPAPs. Third, this paper empirically verifies the differential influences that consumer values exert on RNW and ENW.

Although user behaviors in social network service (SNS) have been well studied in prior literature, most of these studies focus on those behaviors with relatively deep user engagement such as information disclosure, while the underlying mechanisms that explain users’ shallow engagement behaviors (e.g. Like behavior) have been rarely discussed. To fill this research gap, the purpose of this paper is to propose and empirically test a research model to identify the antecedents of Like behavior.

This study identifies the distinctions between post behavior and Like behavior and develops a research model of Like behavior by emphasizing the role of sense of presence from the perspective of symbolic interactionism. The model is tested through a survey with 479 users of WeChat (a popular SNS tool in China). Structural equation modeling, SmartPLS in particular, is used for data analysis.

Three value perceptions, namely cognitive value, hedonic value and social value, are found to be positively associated with Like intention, and sense of presence is found to affect Like intention both directly and indirectly via the three value perceptions.

The research model is tested based on a specific SNS in China, so whether the conclusions can be applied to other research contexts should be further examined in future research. This study identifies the distinctions between post behavior and Like behavior and suggests to view the Like behavior from the perspective of symbolic interactionism.

The paper outlines ways to effectively promote SNS users’ Like behaviors by enhancing the functions related to three value perceptions, especially by enriching the ways that facilitate interpersonal interactions.

This paper is one of the first to distinguish Like behavior from post behavior in SNS, propose and empirically test a research model of Like behavior. In particular, this paper strengthens the important role of sense of presence from the perspective of symbolic interactionism which has rarely been investigated in prior studies.

This study aims to deepen our understanding of how chatbots’ empathy influences humans–AI relationship in frontline service encounters. The authors investigate the underlying mechanisms, including perceived anthropomorphism, perceived intelligence and psychological empowerment, while also considering variations between different stages of the customer journey (before and after purchase).

Data collection was conducted through an online survey distributed among 301 customers who had experience using AI-based service chatbot in frontline service encounters in China. The hypotheses were examined through structural equation modeling and multi-group analysis.

The findings of this study revealed the positive impacts of emotional and cognitive empathy on humans–AI relationship through perceived anthropomorphism, perceived intelligence and psychological empowerment. Furthermore, this study verified the moderating effect of the customer journey stages, such that the impacts of anthropomorphism and intelligence on humans–AI relationship displayed more strength during the pre- and post-purchase phases, respectively.

This research offers practical implications for companies: recognize and enhance empathy dimensions in AI-based service chatbot to empower human–AI relationships; boost customer empowerment in human–AI interactions; and tailor anthropomorphic features in the pre-purchase stage and improve problem-solving capability in the post-purchase stage to enrich user experiences.

This study extends relationship marketing theory and human–AI interaction frameworks by investigating the underlying mechanisms of the effect of two-dimensional empathy on human–AI relationship. This study also enriches service design theories by revealing the moderating effect of customer journey stages.

The contractors’ consummate performance behavior is the key to achieving the project’s value added, but existing research has paid little attention to how to stimulate this behavior. Based on contractual functions and regulatory focus theory, this study examined how the allocation of contractual functions and the contractors’ regulatory focus affect their consummate performance behaviors. At the same time, considering the important position of guanxi between owner and contractor, this study also examined the moderating effect of guanxi on the relationship between the contractors’ regulatory focus and consummate performance behaviors.

This study first constructs a conceptual model that incorporates contractual functions (control, coordination and adaptation), contractors’ regulatory focus (promotion focus, prevention focus) and the effect of guanxi on contractors’ consummate performance behavior. Next, partial least squares structural equation modeling is used to analyze the survey data of 297 Chinese construction project professionals.

This study has the following four findings. First, contractual control has a negative effect on contractors’ promotion focus but a positive effect on their prevention focus. Contractual coordination and adaptation have a positive effect on contractors’ promotion focus but a negative effect on their prevention focus. Second, contractors’ promotion focus has a positive effect on their consummate performance behaviors, while their prevention focus has a negative effect on such behaviors. Third, both of contractors’ promotion focus and prevention focus play a mediating role in the relationship between contractual functions and their consummate performance behaviors. Finally, guanxi plays a moderating role in the relationship between contractors’ regulatory focus and their consummate performance behaviors.

Theoretically, this study enriches the research on the antecedents of contractors’ regulatory focus and extends the literature on contractual and guanxi management in construction projects. In practice, this study can provide guidance for improving contractors’ consummate performance behaviors and reasonable allocation of contractual functions.