Xiaoting Huang, Chun Liu, Chun LIU, Zhenda Wei and Xi Y. Leung
Drawn from flow theory, this study aims to explore children’s flow experiences in virtual reality (VR) by examining the relationships between VR experience length, arousal and…
Abstract
Purpose
Drawn from flow theory, this study aims to explore children’s flow experiences in virtual reality (VR) by examining the relationships between VR experience length, arousal and flow experience (time estimation and enjoyment).
Design/methodolog/approach
A within-subject laboratory experiment was conducted using 9D VR and iMEC 12. A total of 47 children participated in this study. Both survey data and physiological data were collected.
Findings
The results revealed that longer VR videos evoked lower arousal, higher respiratory rates and less enjoyment among child participants than shorter videos. This study also verified the mediating effects of respiratory rates measured arousal on time estimations and self-reported arousal in terms of enjoyment.
Originality/value
This study fills a research gap related to children’s flow experiences in VR, as children’s voices remain limited in tourism research. The study findings offer meaningful insights for destination marketers to leverage the growth of parent-child tours and the increasing effects of VR on the tourism industry.
儿童虚拟现实旅游体验探究: 一项基于沉浸理论的心理-生理研究
研究目的
基于沉浸理论,本研究旨在通过检验虚拟现实(VR)的体验长度、兴奋度, 以及沉浸体验(时间估计和乐趣)之间的关系来探讨儿童的VR沉浸体验。
研究设计/方法/途径
运用9D虚拟现实模拟器和iMEC12, 本研究进行了一项被试内实验。一共有47位儿童参与本研究。收集了调研数据和生理学实验数据。
研究发现
研究结果显示与短VR视频相比, 较长的VR视频导致了较低水平的兴奋度, 较高水平的呼吸率,和较少的乐趣。本研究且还证实了呼吸率测量的兴奋度对时间估计的中介作用 和自我报告的兴奋度对乐趣的中介作用。
研究原创性/价值
由于从儿童角度出发的旅游研究有限, 所以本研究填补了儿童VR沉浸体验领域的研究空白。本研究为目的地营销人员提供了有意义的参考, 从而能有效利用亲子旅游和VR对旅游业日益增长的影响。
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Xiaolin (Crystal) Shi, Xiaoting Huang, Zimeng Guo and Susan Elizabeth Gordon
The purpose of this paper is to investigate the influence of employees’ trait rumination on the variability of their state rumination and the continuing influence on their…
Abstract
Purpose
The purpose of this paper is to investigate the influence of employees’ trait rumination on the variability of their state rumination and the continuing influence on their negative affect at home.
Design/methodology/approach
A time-lagged experience sampling method was used for the data collection from full-time employees in the hotel industry. The hypotheses were tested with multilevel modeling using a random coefficient modeling approach.
Findings
Hotel employees who are high in trait rumination generally show high levels of state rumination and greater within-person variability in state rumination over time. Additionally, the negative effects of workplace state rumination can last until employees come home and the next day before going to work. Furthermore, employees who are high in trait rumination are more likely to be influenced by state rumination, as they experience more negative affect after arriving home.
Practical implications
Rumination has been shown to decrease hotel employee overall well-being. The findings of this study provide suggestions for remedial measures that can be taken by hotel organizations to help employees address ruminative thinking.
Originality/value
Drawing on response styles and work/family border theories, this study contributes to the rumination literature by considering both trait rumination and state rumination in a broader context. For a comprehensive understanding of the dynamic temporal characteristics of state rumination, this study considers the net intraindividual variability of state rumination as the outcome of trait rumination.
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Xiaoting Guo, Changku Sun, Peng Wang and Lu Huang
This paper aims to propose a hybrid method based on polynomial fitting bias self-compensation, grey forward-backward linear prediction (GFBLP) and moving average filter (MAF) for…
Abstract
Purpose
This paper aims to propose a hybrid method based on polynomial fitting bias self-compensation, grey forward-backward linear prediction (GFBLP) and moving average filter (MAF) for error compensation in micro-electromechanical system gyroscope signal especially under motion state.
Design/methodology/approach
The error compensation can be divided into two processes: bias correction and noise reduction. A polynomial drift angle fitting algorithm is used to correct bias before denoising processing. For noise reduction, operation can be taken in two stages: detection and processing. First, sample variances are used to judge motion state. According to the detection results, algorithmic system switches between grey GFBLP and MAF to ensure fast convergence rate and small steady-state error.
Findings
Experimental results show that the proposed method can correct bias effectively for practical gyroscope signal, and can eliminate noise effectively for both practical gyroscope signal and synthetic signal, which indicates the effectiveness of the proposed method.
Originality/value
Bias correction and noise reduction are considerations. Noise contained in practical or synthetic signal can be reduced rapidly and effectively, which benefits from the new idea of combination grey GFBLP, MAF and sample variances. And most importantly, it is applicable for signal denoising under arbitrary motion state condition, which is different from other methods where the convergence performance is seldom analyzed.
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Heesup Han, Seongseop (Sam) Kim, Blankson-Stiles-Ocran Sarah, Inyoung Jung and Xiaoting Chi
The hospitality and tourism industry strives to enhance its corporate image to speed up recovery from the effects of the COVID-19 pandemic. Since employees are service providers…
Abstract
Purpose
The hospitality and tourism industry strives to enhance its corporate image to speed up recovery from the effects of the COVID-19 pandemic. Since employees are service providers and practitioners of a company’s philosophy, it is vital to determine whether their work performance is conducive to corporate sustainability. This study investigated employees’ green behaviors in the hospitality and tourism industries using the behavioral reasoning theory (BRT).
Design/methodology/approach
This study performed fuzzy-set qualitative comparative analysis (fsQCA) and necessary condition analysis (NCA) to evaluate the formation of employees’ approach intentions for green behaviors at work.
Findings
The fsQCA and NCA results revealed complex causal recipes for the formation of high-level and low-level employees’ approach intentions for green behaviors at work and predicted that there is no single necessary condition.
Practical implications
The research findings have significant managerial implications for enhancing employees’ approaches to green practices in the workplace and promoting the green performance of existing tourism and hotel products.
Originality/value
The research findings established a theoretical basis for industry managers to activate employees’ green behaviors, providing significant references for scholars to investigate green work performance in the hospitality and tourism industry.
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Heesup Han, Nancy Grace Baah, Seongseop (Sam) Kim, Xiaoting Chi and Inyoung Jung
Hospitality and tourism businesses often face environmental criticism as they rely heavily on natural resources to operate. Therefore, as a recent trend, hospitality companies are…
Abstract
Purpose
Hospitality and tourism businesses often face environmental criticism as they rely heavily on natural resources to operate. Therefore, as a recent trend, hospitality companies are trying to adopt an environmentally friendly approach. Thus, this study sought to investigate the determinants of employee intention to engage in environmentally responsible actions in the workplace, drawing on the theory of planned behavior (TPB) and the value-belief norm (VBN) theory.
Design/methodology/approach
This study employed the fuzzy-set qualitative comparative analysis (fsQCA) to discover sufficient configurations for predicting employees’ intentions.
Findings
The result has provided recipes with an efficient combination of factors that can influence employees’ intention to undertake environmentally responsible behaviors.
Originality/value
This study contributes to the body of knowledge regarding sustainable behavior among employees and sustainability in the travel and hospitality sector. The findings of this research also provide managers and operators of sustainable hospitality businesses with guidance on how to enhance their staff members' environmentally friendly behaviors at work.
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Urs Alexander Fichtner, Lukas Maximilian Horstmeier, Boris Alexander Brühmann, Manuel Watter, Harald Binder and Jochen Knaus
One of the currently debated changes in scientific practice is the implementation of data sharing requirements for peer-reviewed publication to increase transparency and…
Abstract
Purpose
One of the currently debated changes in scientific practice is the implementation of data sharing requirements for peer-reviewed publication to increase transparency and intersubjective verifiability of results. However, it seems that data sharing is a not fully adopted behavior among researchers. The theory of planned behavior was repeatedly applied to explain drivers of data sharing from the perspective of data donors (researchers). However, data sharing can be viewed from another perspective as well: survey participants. The research questions (RQs) for this study were as follows: 1 Does data sharing increase participant's nonresponse? 2 Does data sharing influence participant's response behavior? The purpose of this paper is to address these issues.
Design/methodology/approach
To answer the RQs, a mixed methods approach was applied, consisting of a qualitative prestudy and a quantitative survey including an experimental component. The latter was a two-group setup with an intervention group (A) and a control group (B). A list-based recruiting of members of the Medical Faculty of the University of Freiburg was applied for 15 days. For exploratory data analysis of dropouts and nonresponse, we used Fisher's exact tests and binary logistic regressions.
Findings
In sum, we recorded 197 cases for Group A and 198 cases for Group B. We found no systematic group differences regarding response bias or dropout. Furthermore, we gained insights into the experiences our sample made with data sharing: half of our sample already requested data of other researchers or shared data on request of other researchers. Data repositories, however, were used less frequently: 28% of our respondents used data from repositories and 19% stored data in a repository.
Originality/value
To the authors’ knowledge, their study is the first study that includes researchers as survey subjects investigating the effect of data sharing on their response patterns.
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Bowen Miao, Xiaoting Shang, Kai Yang, Bin Jia and Guoqing Zhang
This paper studies the location-inventory problem (LIP) in pallet pooling systems to improve resource utilization and save logistics costs, which is a new extension of the…
Abstract
Purpose
This paper studies the location-inventory problem (LIP) in pallet pooling systems to improve resource utilization and save logistics costs, which is a new extension of the classical LIP and also an application of the LIP in pallet pooling systems.
Design/methodology/approach
A mixed-integer linear programming is established, considering the location problem of pallet pooling centers (PPCs) with multi-level capacity, multi-period inventory management and bi-directional logistics. Owing to the computational complexity of the problem, a hybrid genetic algorithm (GA) is then proposed, where three local searching strategies are designed to improve the problem-solving efficiency. Lastly, numerical experiments are carried out to validate the feasibility of the established model and the efficiency of the proposed algorithm.
Findings
The results of numerical experiments show that (1) the proposed model can obtain the integrated optimal solution of the location problem and inventory management, which is better than the two-stage model and the model with single-level capacity; (2) the total cost and network structure are sensitive to the number of PPCs, the unit inventory cost, the proportion of repairable pallets and the fixed transportation cost and (3) the proposed hybrid GA shows good performance in terms of solution quality and computational time.
Originality/value
The established model extends the classical LIP by considering more practical factors, and the proposed algorithm provides support for solving large-scale problems. In addition, this study can also offer valuable decision support for managers in pallet pooling systems.
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Gangxiang Xu, Bin Guo, Wen Li and Xiaoting Wang
The purpose of this paper is to use the theoretical perspective of structural inertia as a unique lens to study foreign sequential entry mode choices of multinational firms.
Abstract
Purpose
The purpose of this paper is to use the theoretical perspective of structural inertia as a unique lens to study foreign sequential entry mode choices of multinational firms.
Design/methodology/approach
It adopts quantitative analysis of a sample of 121 Chinese publicly listed firms with 564 foreign entry incidents in the 2001-2012 period to test the hypotheses.
Findings
The empirical results show that multinational firms have a tendency to adopt the same mode in the subsequent entry as the number of prior entry mode choice of a given type (joint venture (JV) in this study) increases. The results support the theoretical prediction that organizations repeat their past activities due to structural inertia. Moreover, such an inertia effect in foreign sequential entry mode choices becomes stronger for older multinational firms, larger multinational firms and state-owned multinational firms.
Research limitations/implications
Consistent with existing research, this study focuses on the entry mode choice between JV and wholly owned subsidiaries. However, it is better to examine the relationship identified in the study for different types of entry mode choices to assess result generalizability.
Practical implications
It reminds managers of multinational firms that they should be cautious to the influence of structural inertia that can be a barrier to strategic flexibility when they make entry mode choices.
Originality/value
The main contribution of this study resides in introducing structural inertia perspective to help understand the determinants of foreign sequential entry mode choices of multinational firms.
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Xiaoting Shen, Yimeng Zhao, Jia Yu and Mingzhou Yu
This study aims to investigate the responses of young Chinese consumers with different cultural characteristics to negative brand information about electric vehicles.
Abstract
Purpose
This study aims to investigate the responses of young Chinese consumers with different cultural characteristics to negative brand information about electric vehicles.
Design/methodology/approach
The current study is quantitative research with an experimental method. It shows two different levels of severity for negative publicity and asks participants to self-report through questionnaires.
Findings
Chinese young consumers, being collectivist and of high uncertainty avoidance, tend to search for and spread information; consumers with low power distance search and share information more under low information severity. In addition, information search positively affects brand attitude under lower severity; negative word-of-mouth intention negatively affects brand attitudes at both severity levels.
Research limitations/implications
The current study examines the influence of personal cultural values on information searching and negative information dissemination among young consumers, providing insights to complement previous studies. Furthermore, it explores how such exposure influences young consumers’ brand attitude and intention to purchase. Limitations include simple sample scopes and single-product stimuli.
Practical implications
This research highlights the importance of cultural dimensions in shaping young consumers’ responses to negative publicity. Marketers worldwide should consider cultural influence and develop specific strategies to address negative information about different products. Understanding customers’ unique characteristics and preferences can help marketers effectively tailor their approaches to counter negative publicity.
Originality/value
This study originally provides a supplement to prior studies on cultural dimensions and consumer behavior and provides suggestions to marketers on young Chinese consumers.
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Binyue Kang, Qiuyu Shao, Hengkang Xu, Fengyan Jiang, Xiaoting Wei and Xinqing Shao
Grassland in Qinghai as the main type of ecosystem in this region is located in arid and semi-arid areas. The ecosystem is fragile and sensitive to climate change. Grassland…
Abstract
Purpose
Grassland in Qinghai as the main type of ecosystem in this region is located in arid and semi-arid areas. The ecosystem is fragile and sensitive to climate change. Grassland ecosystem not only provides essential ecological and life functions for human society but also plays a vital role in mitigating and adapting to climate change. The empirical literature on grassland ecosystem services value (ESV) does not consider the impact of climate change and regional economic development level factors, which prevents policymakers from making appropriate decisions. This paper aims to analyze the influencing factors of grassland ESV assessment, and, based on the meta-prediction model, account the grassland ESV in Qinghai province.
Design/methodology/approach
To understand the value of grassland ecosystem services in China under climate change, this paper used 61 research literature on the evaluation of grassland ESV in China, including a total of 564 value observations to establish a value transfer database. Based on the meta-analysis method, this study has constructed a value transfer model, to evaluate the grassland ESV in Qinghai province, and an interpretation model, which can analyze if the independent variables affect the grassland ESV significantly.
Findings
The study finds that the evaluation methods, types of ecosystem service functions, climate change and grassland types can affect the grassland ESV significantly. Based on the meta-regression prediction model to evaluate the grassland ESV in Qinghai is US$1,542.67/ha/year. It indicates several targeted approaches to increase the grassland ESV, and climate change also has a specific impact on the value of grassland ecosystem services.
Research limitations/implications
This study provides a scientific basis for grassland management related to the development of grasslands and ecological compensation, as well as promote the sustainable development of grassland ecosystems.
Originality/value
This paper contributes to the field of grassland ESV assessment in at least three aspects; first, it innovatively introduces the meta-analysis to carry out an integrated analysis of previous research results; second, it includes a broader set of influence variables in the analysis, including meteorological and economic factors; and third, it establishes a methodological basis for the field of grassland ESV accounting.