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.
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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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Jinkyung Jenny Kim, Nancy Grace Baah, Seongseop (Sam) Kim, Heesup Han, Bo Meng and Xiaoting Chi
This study aims to determine the distinctive attributes of pet-friendly hotels, examine the importance versus the performance of each attribute, and test the effect of the…
Abstract
Purpose
This study aims to determine the distinctive attributes of pet-friendly hotels, examine the importance versus the performance of each attribute, and test the effect of the performance of attributes on customer behavior.
Design/methodology/approach
This research applied qualitative and quantitative methods to explore the unique attributes of pet-friendly hotels. The importance-performance analysis was used to investigate how customers perceive the importance and the performance of each attribute, and regression analysis was used to examine how the performance of attributes influences customer behavior.
Findings
This study identified six distinctive attributes of pet-friendly hotels. Furthermore, the findings underlined the significance of pet-related activity support for pet-friendly hotel selections, and addressed an urgent need for the improvement of pet-friendly safety measures. Last, results showed the salient effect of pet-related activity support on visit and word-of-mouth intentions, and the strong influence of pet-centric facilities and services on willingness to pay premiums for pet-friendly hotels.
Practical implications
The findings provided useful insights into how hotel companies could effectively position themselves as pet-friendly from customers’ perspectives.
Originality/value
This research is among the first to determine distinctive attributes and adopt importance-performance analysis in pet-friendly hotel context.
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Yuanyuan Guo, Chaoyou Wang and Xiaoting Chen
This study aims to examine the relative effectiveness of functional and financial remedies in influencing customers' negative coping responses in the event of a data breach. It…
Abstract
Purpose
This study aims to examine the relative effectiveness of functional and financial remedies in influencing customers' negative coping responses in the event of a data breach. It also uncovers the different mediating roles played by customers' feelings of anger and fear in the process of data breach recovery. This study thus differs from the literature, which has primarily focused on the impact of financial compensation and apologies for service failures in face-to-face environments.
Design/methodology/approach
Two scenario-based experiments were conducted to empirically validate the model. The authors received 302 copies of the questionnaire, of which 269 were valid.
Findings
This study finds that functional remedies are more effective than financial remedies when sensitive information has been compromised, but there is no significant difference between the effectiveness of the two remedies when nonsensitive information has been compromised. In addition, functional remedies influence negative coping behaviors directly and indirectly; the indirect effect is achieved through the reduction of fear and anger. Contrary to the authors' expectation, financial remedies do not have a direct effect on negative coping behaviors; they can indirectly affect negative coping behaviors by reducing anger but do not affect negative coping behaviors by reducing fear.
Practical implications
This study provides key insights into how to manage customer reactions in the event of a data breach, suggesting the use of carefully designed recovery strategies. Companies must attend to customers' specific emotional responses to manage their negative coping behaviors.
Originality/value
This study extends the limited literature on data breach recovery actions by investigating the different effectiveness of functional and financial remedies in the event of a data breach. It also uncovers how functional and financial recovery strategies affect customers' negative coping behaviors by revealing the different mediating effects of fear and anger.
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Jin Chen, Hao Jiao and Xiaoting Zhao
Based on the knowledge-based view (KBV), the purpose of this study is to explore the impact of scientific knowledge resources on innovative performance, as well as the mechanisms…
Abstract
Purpose
Based on the knowledge-based view (KBV), the purpose of this study is to explore the impact of scientific knowledge resources on innovative performance, as well as the mechanisms, in the science-based innovation practice of biotechnological industry. How scientific knowledge influences the firms’ innovative performance and how external scientific knowledge flows into the firms efficiently are important issues every high-tech firms must consider.
Design/methodology/approach
The authors chose biopharmaceutical firms in China as the sample of this study to empirically test the hypotheses.
Findings
The study introduces a framework combining scientific knowledge resources, technological capabilities and innovative performance and, then, follows with an empirical investigation on firms in Chinese biotechnological industry. Survey data from biopharmaceutical firms in China prove the significantly positive impact of both stocks and flows of scientific knowledge on firms’ innovative performance, as well as the significant mediation effect, of technological capability.
Practical implications
From the results of this study, the authors derive the important managerial implications that talent exchange, purchasing external knowledge directly and establishing R&D alliances are three effective ways leading external scientific knowledge to flow into the firms.
Originality/value
The study finds that technological capability plays an intermediary role between scientific knowledge resource and innovative performance; tacit scientific knowledge stock and R&D alliance influence innovative performance through technological capability totally among them.
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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 Hu, Jizhen Li and Zhanming Jin
The purpose of this paper is to examine the influence of ordinary returnee and foreign employees in firm export performance, whose impacts have been overseen in prior research…
Abstract
Purpose
The purpose of this paper is to examine the influence of ordinary returnee and foreign employees in firm export performance, whose impacts have been overseen in prior research. This study also explores whether returnee and foreign employees function as substitutes or complements, and simultaneously considers the impacts of contextual factors on the relationship between returnee (foreign) employees and firm export performance.
Design/methodology/approach
Using panel data of Beijing’s Zhongguancun Science Park manufacturing firms over a seven-year period, from 2009 to 2015, the paper applies panel Tobit regression to deal with the left-censoring dependent variable.
Findings
This paper finds the number of returnee and foreign employees has significantly positive influence in promoting firm export performance; however, substitution effects exist between them. In addition, the positive effects of returnee and foreign employees on firm export performance are conditional. For foreign employees, the presence of corporate president with international background and firm imports will weaken their positive impacts. In terms of returnee employees, their positive influence proves not to be significantly reduced by corporate president’s international background but weakened by firm imports.
Originality/value
Previous research only highlights returnee entrepreneurs’ and top managers’ positive influence on firm export performance. However, with the development of emerging countries, for instance, China in this paper, ordinary returnee and foreign employees are playing more and more critical roles in firms’ internationalization process. This paper responds to the practical needs to focus on ordinary returnee and foreign employees.
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Qian Zhou, Shuxiang Wang, Xiaohong Ma and Wei Xu
Driven by the dual-carbon target and the widespread digital transformation, leveraging digital technology (DT) to facilitate sustainable, green and high-quality development in…
Abstract
Purpose
Driven by the dual-carbon target and the widespread digital transformation, leveraging digital technology (DT) to facilitate sustainable, green and high-quality development in heavy-polluting industries has emerged as a pivotal and timely research focus. However, existing studies diverge in their perspectives on whether DT’s impact on green innovation is synergistic or leads to a crowding-out effect. In pursuit of optimizing the synergy between DT and green innovation, this paper aims to investigate the mechanisms that can be harnessed to render DT a more constructive force in advancing green innovation.
Design/methodology/approach
Drawing from the theoretical framework of resource orchestration, the authors offer a comprehensive elucidation of how DT intricately influences the green innovation efficiency of enterprises. Given the intricate interplay within the synergistic relationship between DT and green innovation, the authors use the fuzzy-set qualitative comparative analysis method to explore diverse configurations of antecedent conditions leading to optimal solutions. This approach transcends conventional linear thinking to provide a more nuanced understanding of the complex dynamics involved.
Findings
The findings reveal that antecedent configurations fostering high green innovation efficiency actually differ across various stages. First, there are three distinct configuration patterns that can enhance the green technology research and development (R&D) efficiency of enterprises, namely, digitally driven resource integration (RI), digitally driven resource synergy (RSy) and high resource orchestration capability. Then, the authors also identify three configuration patterns that can bolster the high green achievement transfer efficiency of enterprises, including a digitally optimized resource portfolio, digitally driven RSy and efficient RI. The findings not only contribute to advancing the resource orchestration theory in the digital ecosystem but also provide empirical evidence and practical insights to support the sustainable development of green innovation.
Practical implications
The findings can offer valuable insights for enterprise managers, providing decision-making guidance on effectively harnessing the innovation-driven value of internal and external resources through resource restructuring, bundling and leveraging, whether with or without the support of DT.
Social implications
The research findings contribute to heavy-polluting enterprises addressing the paradoxical tensions between digital transformation and resource constraints under environmental regulatory pressures. It aims to facilitate the simultaneous achievement of environmental and commercial success by enhancing their green innovation capabilities, ultimately leading to sustainability across profit and the environment.
Originality/value
Compared with previous literature, this research introduces a distinctive theoretical perspective, the resource orchestration view, to shed light on the paradoxical relationship on resource-occupancy between DT application and green innovation. It unveils the “black box” of how digitalization impacts green innovation efficiency from a more dynamic resource-based perspective. While most studies regard green innovation activities as a whole, this study delves into the impact of digitalization on green innovation within the distinct realms of green technology R&D and green achievement transfer, taking into account a two-stage value chain perspective. Finally, in contrast to previous literature that predominantly analyzes influence mechanisms through linear impact, the authors use configuration analysis to intricately unravel the complex influences arising from various combinatorial relationships of digitalization and resource orchestration behaviors on green innovation efficiency.
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Chunlai Yan, Hongxia Li, Ruihui Pu, Jirawan Deeprasert and Nuttapong Jotikasthira
This study aims to provide a systematic and complete knowledge map for use by researchers working in the field of research data. Additionally, the aim is to help them quickly…
Abstract
Purpose
This study aims to provide a systematic and complete knowledge map for use by researchers working in the field of research data. Additionally, the aim is to help them quickly understand the authors' collaboration characteristics, institutional collaboration characteristics, trending research topics, evolutionary trends and research frontiers of scholars from the perspective of library informatics.
Design/methodology/approach
The authors adopt the bibliometric method, and with the help of bibliometric analysis software CiteSpace and VOSviewer, quantitatively analyze the retrieved literature data. The analysis results are presented in the form of tables and visualization maps in this paper.
Findings
The research results from this study show that collaboration between scholars and institutions is weak. It also identified the current hotspots in the field of research data, these being: data literacy education, research data sharing, data integration management and joint library cataloguing and data research support services, among others. The important dimensions to consider for future research are the library's participation in a trans-organizational and trans-stage integration of research data, functional improvement of a research data sharing platform, practice of data literacy education methods and models, and improvement of research data service quality.
Originality/value
Previous literature reviews on research data are qualitative studies, while few are quantitative studies. Therefore, this paper uses quantitative research methods, such as bibliometrics, data mining and knowledge map, to reveal the research progress and trend systematically and intuitively on the research data topic based on published literature, and to provide a reference for the further study of this topic in the future.
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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.