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This study proposes a novel method utilising a speech-word pair bipartite network to examine the correlation structure between members of parliament (MPs) in the context of the UK- China relationship.

We construct MP-word pair bipartite networks based on the co-occurrence relationship between MPs and words in their speech content. These networks are then mapped into monopartite MPs correlation networks. Additionally, the study calculates correlation network indicators and identifies MP communities and factions to determine the characteristics of MPs and their interrelation in the UK-China relationship. This includes insights into the distribution of key MPs, their correlation structure and the evolution and development trends of MP factions.

Analysis of the parliamentary speeches on China-related affairs in the British Parliament from 2011 to 2020 reveals that the distribution and interrelationship of MPs engaged in UK-China affairs are centralised and discrete, with a few core MPs playing an integral role in the UK-China relationship. Among them, MPs such as Lord Ahmad of Wimbledon, David Cameron, Lord Hunt of Chesterton and Lord Howell of Guildford formed factions with significant differences; however, the continuity of their evolution exhibits unstableness. The core MP factions, such as those led by Lord Ahmad of Wimbledon and David Cameron, have achieved a level of maturity and exert significant influence.

The research has several limitations that warrant acknowledgement. First, we mapped the MP-word pair bipartite network into the MP correlation network for analysis without directly analysing the structure of MPs based on the bipartite network. In future studies, we aim to explore various types of analysis based on the proposed bipartite networks to provide more comprehensive and accurate references for studying UK-China relations. In addition, we seek to incorporate semantic-level analyses, such as sentiment analysis of MPs, into the MP-word -pair bipartite networks for in-depth analysis. Second, the interpretations of MP structures in the UK-China relationship in this study are limited. Consequently, expertise in UK-China relations should be incorporated to enhance the study and provide more practical recommendations.

Firstly, the findings can contribute to an objective understanding of the characteristics and connotations of UK-China relations, thereby informing adjustments of focus accordingly. The identification of the main factions in the UK-China relationship emphasises the imperative for governments to pay greater attention to these MPs’ speeches and social relationships. Secondly, examining the evolution and development of MP factions aids in identifying a country’s diplomatic focus during different periods. This can assist governments in responding promptly to relevant issues and contribute to the formulation of effective foreign policies.

First, this study expands the research methodology of parliamentary debates analysis in previous studies. To the best of our knowledge, we are the first to study the UK-China relationship through the MP-word-pair bipartite network. This outcome inspires future researchers to apply various knowledge networks in the LIS field to elucidate deeper characteristics and connotations of UK-China relations. Second, this study provides a novel perspective for UK-China relationship analysis, which deepens the research object from keywords to MPs. This finding may offer important implications for researchers to further study the role of MPs in the UK-China relationship.

This study proposes a novel scheme for analysing the correlation structure between MPs based on bipartite networks. This approach offers insights into the development and evolving dynamics of MPs.

With the rapid growth of the domestic lending industry, assessing whether the borrower of each loan is at risk of default is a pressing issue for financial institutions. Although there are some models that can handle such problems well, there are still some shortcomings in some aspects. The purpose of this paper is to improve the accuracy of credit assessment models.

In this paper, three different stages are used to improve the classification performance of LSTM, so that financial institutions can more accurately identify borrowers at risk of default. The first approach is to use the K-Means-SMOTE algorithm to eliminate the imbalance within the class. In the second step, ResNet is used for feature extraction, and then two-layer LSTM is used for learning to strengthen the ability of neural networks to mine and utilize deep information. Finally, the model performance is improved by using the IDWPSO algorithm for optimization when debugging the neural network.

On two unbalanced datasets (category ratios of 700:1 and 3:1 respectively), the multi-stage improved model was compared with ten other models using accuracy, precision, specificity, recall, G-measure, F-measure and the nonparametric Wilcoxon test. It was demonstrated that the multi-stage improved model showed a more significant advantage in evaluating the imbalanced credit dataset.

In this paper, the parameters of the ResNet-LSTM hybrid neural network, which can fully mine and utilize the deep information, are tuned by an innovative intelligent optimization algorithm to strengthen the classification performance of the model.

This study investigates the motivation among customers to be more loyal to online food delivery applications (OFDA) services even after the COVID-19 epidemic by using perceived service quality aspects in Sri Lanka. The data were gathered by physically distributing a self-administrated questionnaire to clients in Sri Lanka who continue to use OFDA services on platform to customer (P2C) service delivery platforms to buy food despite the COVID-19 outbreak. Multiple regression is employed to analyse 287 effective observations, and the data revealed the significant positive effect of interaction, environment, outcome, and food qualities on customer loyalty to OFDA services. In fact, there is no impact from the delivery quality on customer loyalty to OFDA services due to outsourced food delivery. The findings suggest regular improvements in attributes such as interaction, environment, outcome, and food qualities in this hyper-competitive business environment. Further, this study sets substantial facts for the interested parties to establish an exemplary delivery system and other technological advancements to have a sustainable competitive advantage and solid customer base in the long run.

This paper aims to propose an effective dynamic calibration and compensation method to solve the problem that the statically calibrated force sensor would produce large dynamic errors when measuring dynamic signals.

The dynamic characteristics of the force sensor are analyzed by modal analysis and negative step dynamic force calibration test, and the dynamic mathematical model of the force sensor is identified based on a generalized least squares method with a special whitening filter. Then, a compensation unit is constructed to compensate the dynamic characteristics of the force measurement system, and the compensation effect is verified based on the step and knock excitation signals.

The dynamic characteristics of the force sensor obtained by modal analysis and dynamic calibration test are consistent, and the time and frequency domain characteristics of the identified dynamic mathematical model agree well with the actual measurement results. After dynamic compensation, the dynamic characteristics of the force sensor in the frequency domain are obviously improved, and the effective operating frequency band is widened from 500 Hz to 1,560 Hz. In addition, in the time domain, the rise time of the step response signal is reduced from 0.29 ms to 0.17 ms, and the overshoot decreases from 26.6% to 9.8%.

An effective dynamic calibration and compensation method is proposed in this paper, which can be used to improve the dynamic performance of the strain-gauge-type force sensor and reduce the dynamic measurement error of the force measurement system.

This research sought to propose a theoretical model that analyzes the factors associated with unlearning (individual and organizational) and contributes to generating and realizing ideas among young people at the beginning of their careers based on the predominant type of structure.

The study had a sample (n = 971) and used the multivariate data analysis partial least squares - Structural Equation Modeling (PLS-SEM regular) and multigroup analysis (PLS-MGA) to identify significant differences between the estimates of the specific parameters of each group (a- Organic/b- Mechanistic).

All the direct relationships and formulated mediations were found to be supported, except for H6 (ET→EO) within the group that had a primarily mechanistic organizational structure. Thus, the more turbulent the environmental, the more initiative-taking, innovative and risk-taking a company tends to be. However, it remains to be seen whether the organizational structure plays a role in facilitating or hindering this relationship. H1 (IG→IR) indicates that predominantly organic organizations have a stronger and more consistent relationship with the knowledge developed through individual and organizational unlearning process. This knowledge contributes to the idea-generation process and ultimately leads to realizing those ideas.

The article contributes to literature by proposing an original and integrated theoretical model incorporating individual and organizational approaches to unlearning to understand the effect on idea generation and realization.

Spatial olfactory design in the library appears to be a practical approach to enhance the coordination between architectural spaces and user behaviors, shape immersive activity experiences and shape immersive activity experiences. Therefore, this study aims to explore the association between the olfactory elements of library space and users’ olfactory perception, providing a foundation for the practical design of olfactory space in libraries.

Using the olfactory perception semantic differential experiment method, this study collected feedback on the emotional experience of olfactory stimuli from 56 participants in an academic library. From the perspective of environmental psychology, the dimensions of pleasure, control and arousal of users’ olfactory perception in the academic library environment were semantically and emotionally described. In addition, the impact of fatigue state on users’ olfactory perception was analyzed through statistical methods to explore the impact path of individual physical differences on olfactory perception.

It was found that users’ olfactory perception in the academic library environment is likely semantically described from the dimensions of pleasure, arousal and control. These dimensions mutually influence users’ satisfaction with olfactory elements. Moreover, there is a close correlation between pleasure and satisfaction. In addition, fatigue states may impact users’ olfactory perception. Furthermore, users in a high-fatigue state may be more sensitive to the arousal of olfactory perception.

This article is an empirical exploration of users’ perception of the environmental odors in libraries. The experimental results of this paper may have practical implications for the construction of olfactory space in academic libraries.

This study aims to understand the learner behaviour of millennials for Massive Open Online Courses (MOOCs) in the post-adoption stage by extending the theory of Unified Theory of Acceptance and User Technology 2 (UTAUT2) with expectancy confirmation model (ECM) along with personal innovativeness as the exogenous, satisfaction as a mediating and continued intention as an endogenous construct.

This study applied a cross-sectional research design by using a survey method to collect primary data with a structured questionnaire. Convenience sampling was used to collect data from millennial MOOC users, and partial least square structural equation modelling method was applied for data analysis.

The results indicate that performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation influence satisfaction. Similarly, performance expectancy, hedonic motivation, personal innovativeness and satisfaction influence the continued intention for MOOCs.

In terms of limitations, the study applied a cross-sectional research design that could lead to data collection bias. Similarly, the study used convenience sampling as the authors did not have access to the participant list of users from MOOC platforms.

The research highlights various insights to all the stakeholders on improving MOOC satisfaction and enhance the continued intention for millennial learners.

The findings of this research bridge this gap by examining the post-adoption usage behaviour of MOOCs by extending the baseline model of UTAUT2 with personal innovativeness and integrating it with ECM.

This paper aims at explore the intervening role of servant leadership in tourism businesses' outcomes, in the context of travel agencies. Drawing on servant leadership theory, the authors develop a multimediation model exploring the relationships between servant leadership and person–job fit, work–life balance, work engagement, innovative work behavior and job crafting.

Using SmartPLS3, data collected from 942 travel agencies operating in Egypt, a questionnaire was used to obtain data on how travel agency employees envisage their organization’s adoption of servant leadership, person–job fit, job crafting, work–life balance, work engagement and innovative work behavior.

The authors show that servant leadership correlates positively with person–job fit, work–life balance, work engagement, innovative work behavior and job crafting, while job crafting correlates positively with work–life balance, work engagement and innovative work behaviors. The partial mediating roles of both job crafting and person–job fit in the link between servant leadership and work–life balance, and the partial mediating role of work engagement in the link between servant leadership and innovative work behaviors.

Up to date, research on the effects of servant leadership on person–job fit, job crafting, work–life balance, work engagement and innovative work behavior has been inadequate. In terms of contextual applicability, an empirical investigation of the relationship between these factors in travel agencies is not available. By empirically examining these relationships in the context of Egyptian travel agencies, the current study has bridged a gap in the tourism and hospitality literature, human resources management and organizational behavior literature.

本文旨在探讨仆人式领导在旅行社背景下对旅游企业成果的干预作用。借鉴仆人式领导理论, 我们开发了一个多重中介模型, 探索仆人式领导与人-工作契合度、工作-生活平衡、工作投入、创新工作行为和工作重塑之间的关系。

使用 SmartPLS3, 从在埃及运营的 942 家旅行社收集的数据, 使用问卷调查获取有关旅行社员工如何设想他们的组织采用仆人式领导、人-工作匹配、工作重塑、工作与生活平衡、工作参与和和 创新工作行为。

我们表明, 仆人式领导与人-工作契合度、工作-生活平衡、工作投入、创新工作行为和工作重塑呈正相关, 而工作重塑与工作-生活平衡、工作投入和创新工作行为呈正相关。工作重塑和个人-工作在仆人式领导与工作-生活平衡之间的联系中起部分中介作用, 工作投入在仆人式领导与创新工作行为之间的联系中起部分中介作用。

该研究进行了一些开创性的检查。迄今为止, 关于仆人式领导对人-工作契合度、工作重塑、工作-生活平衡、工作投入和创新工作行为的影响的研究还不够充分。就情境适用性而言, 尚无对旅行社中这些因素之间关系的实证研究。通过在埃及旅行社的背景下对这些关系进行实证检验, 当前的研究弥合了旅游和酒店文献、人力资源管理和组织行为文献中的空白。

El objetivo de este artículo es explorar el papel que desempeña el liderazgo de servicio en los resultados de las empresas turísticas, en el contexto de las agencias de viajes. Basándonos en la teoría del liderazgo de servicio, desarrollamos un modelo de mediación múltiple que explora las relaciones entre el liderazgo de servicio y la adecuación de la persona al trabajo, el equilibrio entre el trabajo y la vida personal, el compromiso laboral, el comportamiento laboral innovador y el diseño proactivo del puesto de trabajo.

Con SmartPLS3 se analizaron datos recopilados de 942 agencias de viajes que operan en Egipto mediante un cuestionario con el que se obtuvo información sobre cómo los empleados de agencias de viajes prevén que su organización adopte el liderazgo de servicio, el ajuste persona-trabajo, el diseño proactivo del puesto de trabajo, el equilibrio entre el trabajo y la vida personal, el compromiso laboral y el comportamiento laboral innovador.

Mostramos que el liderazgo de servicio se correlaciona positivamente con el ajuste persona-trabajo, el equilibrio entre el trabajo y la vida personal, el compromiso laboral, el comportamiento laboral innovador y el diseño proactivo del puesto de trabajo, mientras que el diseño del puesto de trabajo se correlaciona positivamente con el equilibrio entre la vida laboral y personal, el compromiso laboral y los comportamientos laborales innovadores. Mostramos también el papel mediador parcial del diseño proactivo del puesto de trabajo y del ajuste persona-trabajo, en el vínculo entre el liderazgo de servicio y el equilibrio entre el trabajo y la vida personal, asi como el papel mediador parcial del compromiso laboral en el vínculo entre el liderazgo de servicio y los comportamientos laborales innovadores.

Hasta la fecha, la investigación sobre los efectos del liderazgo de servicio en la adecuación de la persona al trabajo, el diseño proactivo del puesto de trabajo, el equilibrio entre el trabajo y la vida personal, el compromiso laboral y el comportamiento laboral innovador ha sido insuficiente. En términos de aplicabilidad contextual, no se disponía de una investigación empírica de la relación entre estos factores en las agencias de viajes. Al examinar empíricamente estas relaciones en el contexto de las agencias de viajes egipcias, el presente estudio cubre un vacío en la literatura sobre turismo y hostelería, gestión de recursos humanos y comportamiento organizacional.

The purpose of this study is to explore the impact of online reviews on answer adoption in virtual Q&A communities, with an eye toward extending knowledge exchange and community management.

Online reviews contain rich cognitive and emotional information about community members regarding the provided answers. As feedback information on answers, it is crucial to explore how online reviews affect answer adoption. Based on signaling theory, a research model reflecting the influence of online reviews on answer adoption is established and empirically examined by using secondary data with 69,597 Q&A data and user data collected from Zhihu. Meanwhile, the moderating effects of the informational and emotional consistency of reviews and answers are examined.

The negative binomial regression results show that both answer-related signals (informational support and emotional support) and answerers-related signals (answerers’ reputations and expertise) positively impact answer adoption. The informational consistency of reviews and answers negatively moderates the relationships among information support, emotional support and answer adoption but positively moderates the effect of answerers’ expertise on answer adoption. Furthermore, the emotional consistency of reviews and answers positively moderates the effect of information support and answerers’ reputations on answer adoption.

Although previous studies have investigated the impacts of answer content, answer source credibility and personal characteristics of knowledge seekers on answer adoption in virtual Q&A communities, few have examined the impact of online reviews on answer adoption. This study explores the impacts of informational and emotional feedback in online reviews on answer adoption from a signaling theory perspective. The results not only provide unique ideas for community managers to optimize community design and operation but also inspire community users to provide or utilize knowledge, thereby reducing knowledge search costs and improving knowledge exchange efficiency.