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This paper takes the manufacturing cluster supply chain as the research object and explores the evaluation and enhancement strategy of manufacturing cluster supply chain synergy. The purpose of this study was to (1) analyze the mechanism of manufacturing cluster supply chain synergy; (2) construct manufacturing cluster supply chain synergy evaluation model; (3) algorithm realization of manufacturing cluster supply chain synergy evaluation and (4) propose manufacturing cluster-based supply chain synergy enhancement strategy.

Breaking through the limitations of traditional manufacturing cluster supply chain synergy evaluation, we take horizontal synergy and vertical synergy as coupled synergy subsystems, use the complex system synergy model to explore the horizontal synergy between core enterprises and cluster enterprises and the vertical synergy of supply chain enterprises and use the coupling coordination model to construct the coupled synergy evaluation model of manufacturing cluster supply chain, which is an innovation of the evaluation perspective of previous cluster supply chain synergy and also an enrichment and supplementation of the evaluation methodology. This is not only the innovation of the evaluation perspective but also the enrichment and supplementation of the evaluation method.

Using Python software to conduct empirical analysis on the evaluation model, the research shows that the horizontal and vertical synergies of the manufacturing cluster supply chain interact with each other and jointly affect the coupling synergy. On this basis, targeted strategies are proposed to enhance the synergy of the manufacturing cluster supply chain.

This study takes manufacturers, suppliers and sellers in the three-level supply chain as the research object and does not consider the synergistic evaluation between distributors and consumers in the supply chain, which can be further explored in this direction in the future.

Advanced manufacturing clusters, as the main force of manufacturing development, and the synergistic development of supply chain are one of the important driving forces for the high-quality development of China’s manufacturing industry. As a new type of network organization coupling industrial clusters and supply chains, cluster supply chain is conducive not only to improving the competitiveness of cluster supply chains but also to upgrading cluster supply chains through horizontal synergy within the cluster and vertical synergy in the supply chain.

Research can help accelerate the transformation and upgrading of clustered supply chains in the manufacturing industry, promote high-quality development of the manufacturing industry and accelerate the rise of the global value chain position of the manufacturing industry.

(1) Innovation of research perspective. Starting from two perspectives of horizontal synergy and vertical synergy, we take a core enterprise in the cluster supply chain as the starting point, horizontally explore the main enterprises of the cluster as the research object of horizontal synergy, vertically explore the upstream and downstream enterprises of the supply chain as the research object of vertical synergy and explore the coupling synergy of cluster supply chain as two subsystems, which provides new perspectives of evaluation of the degree of synergy and synergy evaluation. (2) Innovation of research content. Nine manufacturing clusters are selected as research samples, and through data collection and model analysis, it is verified that the evaluation model and implementation algorithm designed in this paper have strong practicability, which not only provides methodological reference for the evaluation of manufacturing cluster-type supply chain synergy but also reduces the loss caused by the instability of clusters and supply chains and then provides a theoretical basis for improving the overall performance of cluster-type supply chains.

The performance of the measurement matrix directly affects the quality of reconstruction of compressive sensing signal, and it is also the key to solve practical problems. In order to solve data collection problem of wireless sensor network (WSN), the authors design a kind of optimization of sparse matrix. The paper aims to discuss these issues.

Based on the sparse random matrix, it optimizes the seed vector, which regards elements in the diagonal matrix of Hadamard matrix after passing singular value decomposition (SVD). Compared with the Toeplitz matrix, it requires less number of independent random variables and the matrix information is more concentrated.

The performance of reconstruction is better than that of Gaussian random matrix. The authors also apply this matrix to the data collection scheme in WSN. The result shows that it costs less energy and reduces the collection frequency of nodes compared with general method.

The authors design a kind of optimization of sparse matrix. Based on the sparse random matrix, it optimizes the seed vector, which regards elements in the diagonal matrix of Hadamard matrix after passing SVD. Compared with the Toeplitz matrix, it requires less number of independent random variables and the matrix information is more concentrated.

With the rise of customer engagement in online products and services innovation, enterprises are seeking effective referral reward program (RRP) to encourage customers’ follow-up electronic-referral (e-referral) behaviors. Therefore, how to stimulate more customers to participate in the RRP is very important to enterprises. However, little empirical work has systemically investigated the impact of RRP on customers’ follow-up e-referral, as well as the moderating effects of customers’ characteristics. To fill those research gaps, the purpose of this paper is to explore the effects of RRP (particularly, reward amount and reward type) on customers’ follow-up e-referral, and the role of creative self-efficacy.

Based on the self-perception theory and the context of online customer innovation, this paper establishes a theoretical model and uses an experiment with 160 participants to test the hypotheses on the role of reward (amount and type) and the moderating effect of creative self-efficacy.

The results of the experiment suggest that both reward amount and reward type in RRP positively impact customers’ follow-up e-referral. Furthermore, customers’ creative self-efficacy moderates the relationship between rewards and customers’ follow-up e-referral. Customers with low creative self-efficacy, reward amount significantly stimulate their follow-up e-referral, but such effect is insignificant when customers’ creative self-efficacy is high. In terms of reward type, gift reward has more positive effect on customers’ follow-up e-referral when they have high (rather than low) creative self-efficacy, but cash reward has more positive effect on those with low (rather than high) creative self-efficacy.

First, based on the self-perception theory, the study clarifies the inconsistent relationship between reward and customers’ e-referral and contributes to related research. Second, the study broadens the existing research perspective by introducing creative self-efficacy, which shows interesting and powerful moderating effect but has been ignored in previous studies. Third, the study provides valuable advice on how enterprises design an effective RRP to enhance customers’ follow-up e-referral.

Although the role of returnees is critical to firm innovation, the literature offers inconsistent findings regarding returnees' effect on firms' innovation performance. To reconcile this issue, the authors argue that taking the types of innovation into account – i.e. technical innovation and commercial innovation – is necessary. Thus, the purpose of this study is to examine how firms led by returnees affect the relationship between research and development (R&D) input and above two types of innovation output, as well as the contingent role of political connections (PCs) and venture capital funding (VC funding).

This study empirically tested the hypotheses using a dataset of 54,617 firm-year observations for 18,475 Chinese firms in Zhongguancun Science Park (ZSP) from 2009 to 2014.

The results show that the positive effect of R&D input on technical innovation performance (TIP) is reinforced when firms are led by returnees, while the positive effect of R&D input on commercial innovation performance (CIP) is weakened when firms are led by returnees compared with those firms led by the local counterparts. The findings further show that returnee firms' positive effect on the relationship between R&D input and technical innovation performance is more salient for firms with more PCs but weakened for those with more VC funding.

This study enriches the research on returnee firms' advantages and disadvantages in transforming R&D input into innovation performance, and the findings highlight that firms led by returnees can increase R&D efficiency of technical innovation, but reduce R&D efficiency of commercial innovation. Moreover, this study offers a contingent view of political and economic stakeholders' roles in returnee firms' innovation, by revealing PCs help returnee firms to enhance R&D efficiency in technological innovation, while venture capital can hamper such R&D efficiency.

The purpose of this paper is to present the influence of inter-turn short circuit faults (ITSF) on electromagnetic vibration in high-voltage line-starting permanent magnet synchronous motor (HVLSPMSMS).

In this paper, the ampere–conductor wave model of HVLSPMSM after ITSF is established. Second, a mathematical model of the magnetic field after ITSF is established, and the influence law of the ITSF on the air-gap magnetic field is analyzed. Further, the mathematical expression of the electromagnetic force density is established based on the Maxwell tensor method. The impact of HVLSPMSM torque ripple frequency, radial electromagnetic force spatial–temporal distribution and rotor unbalanced magnetic tension force by ITSF is revealed. Finally, the electromagnetic–mechanical coupling model of HVLSPMSM is established, and the vibration spectra of the motor with different degrees of ITSF are solved by numerical calculation.

In this study, it is found that the 2np order flux density harmonics and (2 N + 1) p order electromagnetic forces are not generated when ITSF occurs in HVLSPMSM.

By analyzing the multi-harmonics of HVLSPMSM after ITSF, this paper provides a reliable method for troubleshooting from the perspective of vibration and torque fluctuation and rotor unbalanced electromagnetic force.

This study intends to explore the configuration that affects the active degree of written questions in the Macau Legislative Assembly.

This study takes the members elected by the sixth Legislative Assembly of Macau as samples and uses the fuzzy set qualitative comparative analysis method. Five conditional factors are discussed, including multiple concurrent factors and complex causal mechanisms, which lead to the difference in the active degree of written questions.

The main conclusions are as follows: (1) Not Serving in the government is a necessary condition for a high active degree of the written question, and (2) The driving mechanism of a high active degree of written question can be divided into two paths. Among them, direct election into the Legislative Assembly is the crucial factor.

Traditional research mainly uses quantitative research methods. This study uses qualitative comparative analysis (QCA), which is a hybrid method designed to bridge the qualitative (case-oriented) and quantitative (variable-oriented) research gap.

This paper aims to examine the double-edged sword effects of work-related rumination on employees’ innovative performance. Drawing upon Conservation of Resources (COR) theory, this study developed a model to reveal the mechanism through which work-related rumination affects employees’ innovative performance.

Data were collected from a sample of employees and their managers at an information technology services firm in China. A two-wave data collection method with a one-month interval was employed. The analysis was conducted using structural equation modeling on 482 paired manager-subordinate responses.

Our findings highlight the complex interplay between work-related rumination and innovative performance. Specifically, affective rumination was found to detract from employees’ innovative performance, whereas problem-solving pondering had a positive effect. Notably, creative self-efficacy emerged as a key mediator in these relationships. Furthermore, employees’ perceived organizational support moderated the impact of rumination on creative self-efficacy and, consequently, on innovative performance, buffering the negative effects of affective rumination and enhancing the positive effects of problem-solving pondering.

Firstly, it enriches the existing literature on work-related rumination by exploring its nuanced influence on employees’ innovative performance. Secondly, it illuminates the underlying mechanism through which work-related rumination affects innovative performance, mediated by creative self-efficacy. Lastly, it highlights the crucial role of perceived organizational support in moderating these relationships, offering valuable insights for practitioners seeking to foster a more innovative work environment.

More people share their tourism experiences on social media today than in the past, and as a result, more people follow these posts in their trip planning. However, studies into tourists' intention to follow such posts are scarce. Therefore, this study investigates the antecedents influencing social media users' intentions to follow tourism-related posts (TRPs) when planning their trips.

Questionnaires were collected from 402 social media users who had followed TRPs for their trip planning. Data were then analyzed using partial least squares structural equation modeling (PLS-SEM) and artificial neural networks.

The authors found that blogger–user fit and users' involvement with TRPs influenced behavior components (attitudes toward TRPs and intention to follow TRPs) via assessment components (bloggers' credibility and content quality), and the authors developed a framework to explain this relationship.

The findings advance prior studies by investigating (1) the antecedents of intention to follow TRPs when trip planning, (2) the two main social media elements – bloggers and posts – to understanding the role of social media on travel behavior and (3) involvement with TRPs and their impacts on travel behavior. This study contributes to the research on social media and tourism marketing and proposes practical indications for bloggers, social media platforms and destination marketing organizations.

This study aims to examine the impact of virtual reality (VR) interactivity elements, including synchronicity, two-way communication and active control, on tourists’ VR memorable experiences, and the subsequent effect on tourists’ word-of-mouth (WOM) and VR continuance intention.

The research model was tested using self-administrated survey data from 285 Chinese tourists who were experienced in travel and VR tourism activities. Partial least squares–structural equation modelling was adopted to perform latent variable analysis.

VR interactivity elements, including synchronicity, two-way communication and active control, play a considerable role in driving tourists’ VR memorable experiences, which in turn drive tourists’ WOM and VR continuance intention.

Cross-sectional, single country data was used and thus the generalisability of the findings may be limited. Future research is recommended adopting a longitudinal approach to compare the relationship between constructs in countries with diverse cultures.

The findings provide guidance for tourism marketers to use the interactive features of VR, including synchronicity, two-way communication and active control, to drive tourists’ memorable experiences and thereby strengthen tourists’ referral and continuance intention.

Scholarly attention on the importance of VR interactivity in driving tourists’ memorable experiences and behavioural intention is limited. This study contributes to the tourism marketing literature by empirically testing the research model to reveal the importance of VR interactivity elements, including synchronicity, two-way communication and active control, to drive tourists’ VR memorable experiences and behavioural intentions.

虚拟现实交互在COVID-19时代中构建难忘的游客体验和采纳意向的作用

本研究旨在检验虚拟现实 (VR) 交互元素的影响, 包括同步性、双向通信和主动控制, 对游客的VR 难忘的经历, 以及对游客口碑 (WOM) 和 VR 的持续意向。

该研究模型采用来自285名体验过旅行和VR旅游活动的中国游客的调查数据进行了测试。偏最小二乘 - 结构方程模型（PLS-SEM）用来执行潜在的变量分析。

VR交互元素, 包括同步性、双向通信和主动控制, 在推动游客 VR 难忘体验方面发挥了相当大的作用, 进而推动游客的口碑和VR持续意向

使用了横断面的单一国家数据, 因此调查结果的普遍性可能有限。建议未来的研究采用纵向比较方法来比较具有多元文化不同国家为背景的构象之间关系。

研究结果为旅游营销人员利用VR的交互特性, 包括同步性、双向交流、主动性控制, 来驱动游客难忘的体验, 从而加强游客的推荐和继续意向

学术界对 VR 交互性在构建游客的难忘经历和行为意图的重要作用的研究仍然有限。本研究有助于旅游营销文献通过实证检验研究模型揭示VR交互元素的重要性, 包括同步性、双向通信、和主动控制, 构建游客的 VR 难忘体验和行为意图。

The purpose of this review is to systematically understand the development of enterprise social media (ESM) research, quantitatively analyze the landscape and track the development of ESM literature and reveal new trends and challenges in ESM research.

Based on 321 relevant literature studies (2005–2020) collected from the Web of Science core collection, the visualization tool CiteSpace is used to conduct bibliometric cocitation and cooccurrence analyses to quantify and visualize the landscape and evolution of ESM research.

Through analyzing the author cocitation network, document cocitation network, journal cocitation network and keywords cooccurrence network, this review proposes an integrated research framework, which highlights major purposes, antecedents and consequences of ESM use in organizations and presents future research trends of ESM research.

Different from the existing qualitative review of ESM, this review adopts bibliometric review to quantify and visualize the landscape of ESM research.