Wenyue Tang, Tengfei Zhang and Yang Yang
This study aims to discuss the formation mechanism of members’ emotional attachment to virtual travel communities from an online–offline perspective, focusing on the role of…
Abstract
Purpose
This study aims to discuss the formation mechanism of members’ emotional attachment to virtual travel communities from an online–offline perspective, focusing on the role of offline tourism experiences.
Design/methodology/approach
A questionnaire was designed to survey active travel enthusiast clubs that hold frequent offline tourism activities. A structural equation modeling method was used to estimate the model and test the research hypotheses.
Findings
Results demonstrated that offline travel experiences positively influenced online community attachment (i.e., community dependence and identity), and this effect was more pronounced than that of one’s sense of community (i.e., belonging, trust and immersion) on community attachment. Therefore, compared with online interaction, offline travel experiences played a greater part in strengthening virtual community attachment.
Originality/value
The study presents a pioneering effort on understanding how offline activities help shape the community attachment to virtual communities.
研究目的
本研究从线上-线下的角度探讨了人们对虚拟旅行社区的情感依恋形成机制, 着重关注线下旅游体验的作用。
研究方法
本研究设计了问卷, 对经常举办线下旅游活动的驴友俱乐部进行了调查。采用结构方程建模方法估计模型并验证研究假设。
研究发现
结果表明, 线下旅游体验积极地影响着线上社区依恋, 并且这种影响比社区感对社区依恋的影响更为显著。因此, 相较于线上互动, 线下旅游体验在增强虚拟社区依恋方面起到了更大的作用。
研究创新
本研究首次探讨了线下活动如何帮助塑造虚拟社区成员对虚拟社区的依恋。
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Fengjun Tian, Yang Yang, Zhenxing Mao and Wenyue Tang
This paper aims to compare the forecasting performance of different models with and without big data predictors from search engines and social media.
Abstract
Purpose
This paper aims to compare the forecasting performance of different models with and without big data predictors from search engines and social media.
Design/methodology/approach
Using daily tourist arrival data to Mount Longhu, China in 2018 and 2019, the authors estimated ARMA, ARMAX, Markov-switching auto-regression (MSAR), lasso model, elastic net model and post-lasso and post-elastic net models to conduct one- to seven-days-ahead forecasting. Search engine data and social media data from WeChat, Douyin and Weibo were incorporated to improve forecasting accuracy.
Findings
Results show that search engine data can substantially reduce forecasting error, whereas social media data has very limited value. Compared to the ARMAX/MSAR model without big data predictors, the corresponding post-lasso model reduced forecasting error by 39.29% based on mean square percentage error, 33.95% based on root mean square percentage error, 46.96% based on root mean squared error and 45.67% based on mean absolute scaled error.
Practical implications
Results highlight the importance of incorporating big data predictors into daily demand forecasting for tourism attractions.
Originality/value
This study represents a pioneering attempt to apply the regularized regression (e.g. lasso model and elastic net) in tourism forecasting and to explore various daily big data indicators across platforms as predictors.
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Wenyue Cui, Jie Tang, Zhipeng Zhang and Xin Dai
Innovation convergence is critical to national or regional economic growth patterns. This article provides a systematic review of innovation convergence research through…
Abstract
Purpose
Innovation convergence is critical to national or regional economic growth patterns. This article provides a systematic review of innovation convergence research through qualitative discussions combined with bibliometric methods. Through this article, researchers interested in the field of innovation convergence can quickly understand the development of the field, quickly identify authors and publications with significant impact, and collaborative networks in the field.
Design/methodology/approach
This article is based on the relevant literature included in the WOS database from 1990 to 2021, using Citespace, Gephi and other software to conduct a systematic bibliometric analysis of the research in the new convergence field.
Findings
This research shows that the second half of the twentieth century was a boom period for research on economic convergence. 2. The subject foundation of innovation convergence research mainly includes mathematics, economics, political science and computational science. 3. The journals that publish research in this field are widely distributed, including the fields of economics, natural sciences and complex sciences. 4. The research in the field of innovation convergence is inseparable from the research in the field of economic growth.
Originality/value
This study may help others to understand the development history and research trends of the innovation convergence field, as well as the literature and cooperative scientific research institutions that have an important influence.
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Ziyu Jiang, Guojian Ma and Wenyue Zhu
The purposes of this paper are to analyze whether digital finance can contribute to enterprises' innovation performance and to determine the mediating effect of government…
Abstract
Purpose
The purposes of this paper are to analyze whether digital finance can contribute to enterprises' innovation performance and to determine the mediating effect of government subsidies.
Design/methodology/approach
This paper empirically examines the impacts of digital finance on enterprises' innovation performance by looking at Chinese companies listed on the SME and GEM boards from 2011 to 2018 to build an econometric model to test our hypotheses. The mediating effect of government subsidies, the moderating effect of financial constraints are examined, as well as shareholding of the largest shareholders in each selected company and the asset-liability ratio.
Findings
The results show that digital finance has a significant promotional effect on firms' innovation performance and that government subsidies play a partial mediating role in digital finance's contribution to firms' innovation performance. In addition, financial constraints and the shareholding of the largest shareholders in each selected company have a negative moderating effect on the relationship between government subsidies and firms' innovation performance. On the contrary, the asset-liability ratio is found to positively affect the relationship.
Originality/value
There has been limited research to date on the relationship between digital finance and firms' innovation performance, particularly with regard to the extent to which digital finance can influence innovation performance and the mechanisms for doing so. Therefore, it is of great significance to examine the relationship between digital finance and enterprises' innovation performance, which can also provide guidance for both the Chinese government and enterprises.
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This study aims to present a method for the conceptual design and simulation of an aircraft flight control system.
Abstract
Purpose
This study aims to present a method for the conceptual design and simulation of an aircraft flight control system.
Design/methodology/approach
The design methodology is based on particle swarm optimization (PSO). PSO can be used to improve the performance of conventional controllers. The aim of the present study is threefold. First, it attempts to detect and isolate faults in an aircraft model. Second, it is to design a proportional (P) controller, a proportional derivative (PD) controller, a proportional-integral (PI) controller and a fuzzy controller for an aircraft model. Third, it is to design a PD controller for an aircraft using a PSO algorithm.
Findings
Conventional controllers, an intelligent controller and a PD controller-based PSO were investigated for flight control. It was seen that the P controller, the PI controller and the PD controller-based PSO caused overshoot. These overshoots were 18.5, 87.7 and 2.6 per cent, respectively. Overshoot was not seen using the PD controller or fuzzy controller. Steady state errors were almost zero for all controllers. The PD controller had the best settling time. The fuzzy controller was second best. The PD controller-based PSO was the third best, but the result was close to the others.
Originality/value
This study shows the implementation of the present algorithm for a specified space mission and also for study regarding variation of performance parameters. This study shows fault detection and isolation procedures and also controller gain choice for a flight control system. A comparison between conventional controllers and PD-based PSO controllers is presented. In this study, sensor fault detection and isolation are carried out, and, also, root locus, time domain analysis and Routh–Hurwitz methods are used to find the conventional controller gains which differ from other studies. A fuzzy controller is created by the trial and error method. Integral of squared time multiplied by squared error is used as a performance function type in PSO.