Lina Qiu, Jin Tian, Weiwei Zhang, Aijun Gong and Weiyu Zhao
Sulfate-reducing bacteria (SRB) are recognized by scholars as the most important class of bacteria leading to corrosion of metal materials. It is important to use the properties…
Abstract
Purpose
Sulfate-reducing bacteria (SRB) are recognized by scholars as the most important class of bacteria leading to corrosion of metal materials. It is important to use the properties of microorganisms to inhibit the growth of SRB in the corrosion protection of metal materials and to protect the environment.
Design/methodology/approach
In this work, the behavior of anaerobic Thiobacillus denitrificans (TDN) intracellular enzyme inhibition of SRB corrosion of EH36 steel was investigated with electrochemical impedance spectroscopy, biological detection technology and X-ray photoelectron spectroscopy.
Findings
Results showed that the SRB crude intracellular enzyme affected the corrosion behavior of EH36 steel greatly and the purified TDN intracellular enzyme inhibits SRB intracellular enzyme corrosion to EH36 steel.
Originality/value
A perfect enzyme activity inhibition mechanism will provide theoretical guidance for the selection and application of anticorrosion microorganisms, which is of scientific significance in the field of microbial anticorrosion research.
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Lina Qiu, Yanan Mao, Aijun Gong, Weiwei Zhang, Yanqiu Cao and Lu Tong
Bdellovibrio bacteriovorus is a gram-negative predatory bacterium which can potentially inhibit microbiologically influenced corrosion by preying on sulfate-reducing bacteria…
Abstract
Purpose
Bdellovibrio bacteriovorus is a gram-negative predatory bacterium which can potentially inhibit microbiologically influenced corrosion by preying on sulfate-reducing bacteria (SRB). However, no researches about the inhibition are reported according to the authors’ knowledge. The purpose of this paper was to investigate the Inhibition effect of B. bacteriovorus on the corrosion of X70 pipeline steel induced by SRB.
Design/methodology/approach
The effect of B. bacteriovorus on the growth of SRB was studied by measuring the optical density at 600 nm (OD600) and sulfate concentration in culture medium. X70 pipeline steel was used as the test material to investigate the anti-corrosion effect of B. bacteriovorus on SRB by conducting electrochemical analysis (including Tafel polarization curves and electrochemical impendence spectroscopy) and weight loss measurement.
Findings
B. bacteriovorus could inhibit the growth of SRB in culture medium by its predation on SRB, which led to decrease of OD600 value and increase of sulfate concentration. The results of electrochemical analysis indicated that B. bacteriovorus had positive inhibition efficiencies on SRB-induced corrosion of X70 pipeline steel. Moreover, corrosion rate of X70 pipeline steel was declined from 19.17 to 3.75 mg·dm-2·day-1 by the presence of B. bacteriovorus.
Originality/value
This is the first report about using B. bacteriovorus to inhibit the corrosion induced by SRB. Compared to other anti-corrosion methods, the microbial inhibition methods exhibit more considerable application value due to its low cost, high efficiency and non-pollution.
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Lina Zhong, Mengyao Zhu, Xiaonan Li, Alastair M. Morrison and Mark Anthony Camilleri
The purpose of this research paper was to determine which needs for incentives influence positive word-of-mouth (PWOM) among international tourists and how these needs differ…
Abstract
Purpose
The purpose of this research paper was to determine which needs for incentives influence positive word-of-mouth (PWOM) among international tourists and how these needs differ based on the cultural orientation toward individualism and collectivism.
Design/methodology/approach
This research used online surveys to gather data from 959 Australian, US, UK, Japanese and Korean respondents who had visited Beijing. A random sampling method was used, and data were analyzed using SmartPLS 4.0. By adopting the existence relatedness growth theory, the findings explain how cultural orientation affects the impact of needs for incentives in generating PWOM.
Findings
Three hypothesized relationships were significant for Australia/UK/USA and Japan/Korea – the effect of needs for incentives on motivation, the effect of motivation on PWOM and the effects of needs for incentives on PWOM were significant and positive for Australia/UK/USA and Japan/Korea. The effect of needs for incentive type on motivation varied across national populations, and the intensity of the effects of needs for incentive type on PWOM was also different. For Australian, UK and the US tourists, the honorary title was the most influential need to stimulate word-of-mouth motivation. The need for cultural learning was the most influential for Japanese and Korean tourists.
Originality/value
This research contributes to the literature by exploring and comparing the needs for incentives that influence PWOM among tourists from the perspective of individualism and collectivism. The results also increase the understanding of the relationships among needs for incentives, motivation and PWOM.
研究目的
本研究旨在确定哪些激励需求会影响国际旅游者的积极口碑(PWOM), 以及这些激励方式的影响在个人主义和集体主义文化取向的群体中有何不同。
设计/方法/途径
本研究通过在线调查收集了 959 名曾到访北京的澳大利亚、美国、英国、日本和韩国的国际游客数据。研究采用了随机抽样的方法, 使用 SmartPLS 4.0 对数据进行了分析。基于ERG理论, 本研究解释了文化如何影响激励类型对积极口碑的影响。
研究结论
研究结果显示, 三个假设关系在澳大利亚/英国/美国和日本/韩国两个群组中均显著, 即激励需求对动机的影响、动机对积极口碑的影响、以及激励需求对积极口碑的影响在澳大利亚/英国/美国和日本/韩国群组中都是显著和正向的。激励需求类型对动机和积极口碑的影响在不同国家群体中存在差异。对于澳大利亚、英国和美国的国际游客, 满足名誉需求的激励对产生积极口碑动机的影响更大。对于日本和韩国的国际游客, 满足文化学习需求的激励对产生积极口碑动机的影响更大。
原创性
本研究从个人主义和集体主义的角度, 探讨比较了影响国际旅游者积极口碑的激励需求, 为相关领域研究做出了贡献。研究结果加深了对激励需求、动机和积极口碑之间关系的理解。
Objetivo
El objetivo de esta investigación era determinar qué necesidades de incentivación influyen en el boca a boca positivo (PWOM por sus siglas en inglés) entre los turistas internacionales y cómo difieren estas necesidades en función de la orientación cultural hacia el individualismo y el colectivismo.
Diseño/metodología/enfoque
Esta investigación utilizó encuestas en línea para recopilar datos de 959 encuestados australianos, estadounidenses, británicos, japoneses y coreanos que habían visitado Pekín. Se empleó un método de muestreo aleatorio y los datos se analizaron con SmartPLS 4.0. Adoptando la teoría del Crecimiento de la Relación con la Existencia (ERG por sus siglas en inglés), los resultados explican cómo afecta la orientación cultural al impacto de las necesidades de incentivos en la generación del PWOM.
Resultados
Tres relaciones hipotetizadas resultaron significativas en los dos grupos de Australia/Reino Unido/Estados Unidos y Japón/Corea: el efecto de las necesidades de incentivación en la motivación, el efecto de la motivación en la PWOM y los efectos de las necesidades de incentivación en la PWOM fueron significativos y positivos para Australia/Reino Unido/Estados Unidos y Japón/Corea. El efecto del tipo de necesidad de incentivación sobre la motivación varió entre las poblaciones nacionales, y la intensidad de los efectos del tipo de necesidad de incentivos sobre la PWOM también fue diferente. Para los turistas australianos, británicos y estadounidenses, el título honorífico fue la necesidad más influyente para estimular la motivación WOM. La necesidad de aprendizaje cultural fue la más influyente para los turistas japoneses y coreanos.
Originalidad/valor
Esta investigación contribuye a la bibliografía al explorar y comparar las necesidades de incentivación que influyen en la motivación boca a boca entre los turistas desde la perspectiva del individualismo y el colectivismo. Los resultados también aumentan la comprensión de las relaciones entre las necesidades de incentivación, la motivación y el PWOM.
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Yui-yip Lau, Lina Vyas and Stuti Rawat
The outbreak of the COVID-19 pandemic led to the rise of online learning in Hong Kong. Online learning was identified as the only solution to meet students’ learning needs in the…
Abstract
Purpose
The outbreak of the COVID-19 pandemic led to the rise of online learning in Hong Kong. Online learning was identified as the only solution to meet students’ learning needs in the higher education sector during this chaotic period. This research aims to explore students’ perceptions of online teaching and learning from home under a health emergency via a comparison of undergraduate and postgraduate students’ experiences.
Design/methodology/approach
A total of 174 postgraduate students and 286 undergraduate students in various universities and colleges in Hong Kong were surveyed in this study.
Findings
The results show that postgraduate students generally gave more positive feedback on individual and environmental prerequisites, alongside pedagogical and institutional support, and were more motivated in online classes as compared to undergraduate students. Undergraduate students considered the shift to online education in light of the COVID-19 pandemic to be timely and rated their level of discipline with respect to online learning higher than did postgraduate students.
Originality/value
This study enables educators to better understand the first-hand experiences of students across different levels of study in Hong Kong, as well as to examine the possibility of establishing online education as a more prevalent mode of study in the future. The COVID-19 pandemic has educated us on the significance of being well-prepared to ensure quality education continues when emergencies and disturbances arise.
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Jian Hua Li, Shilin Jia, Lina Ren and Xueliang Li
The purpose of this study is to optimize the operational efficiency of the entire system by developing a reasonable maintenance strategy for wind turbines that improves component…
Abstract
Purpose
The purpose of this study is to optimize the operational efficiency of the entire system by developing a reasonable maintenance strategy for wind turbines that improves component reliability and safety while reducing maintenance costs.
Design/methodology/approach
A hybrid incomplete preventive maintenance (PM) model based on boundary intensity process is established to give dynamic PM intervals for wind turbines using an iterative method with reliability as a constraint; the selection method of PM and replacement is given based on the cost-effectiveness ratio, which in turn determines the optimal number of PM for wind turbines.
Findings
The reliability is used to obtain the components’ maintenance cycle, and the cost-effectiveness ratio is used to select the number of maintenance times, thus, getting the optimal maintenance strategy. The validity of this paper’s method is verified by arithmetic cases, which provides a new method for formulating a reasonable PM strategy for wind turbines.
Practical implications
The wind turbine preventive maintenance strategy for Boundary intensity process proposed in this paper can scientifically formulate the maintenance strategy, optimize the cost-effectiveness per unit of time of the wind power generation system, and solve the problems of difficulty in formulating a reasonable maintenance strategy for the wind turbine components and high operation and maintenance costs.
Originality/value
In this paper, the authors describe the failure pattern by a Boundary intensity process, establish a hybrid incomplete PM model by introducing a failure intensity increment factor and an age reduction factor and establish a maintenance strategy optimization model with comprehensive consideration of reliability and cost-effectiveness ratio. Finally, the validity of the model in this paper is verified by arithmetic case analysis.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-05-2024-0153/
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Lina Zhong, Jiating Liu, Alastair M. Morrison, Yingchao Dong, Mengyao Zhu and Lei Li
Based on text content analysis using big data, this study aims to explore differences in guest perceptions of peer-to-peer accommodations before and after COVID-19 to provide…
Abstract
Purpose
Based on text content analysis using big data, this study aims to explore differences in guest perceptions of peer-to-peer accommodations before and after COVID-19 to provide suggestions for the development of these properties in China postpandemic.
Design/methodology/approach
A guest perception dictionary was established by collecting Ctrip customer reviews of peer-to-peer accommodations. After data cleaning, thematic word analysis and semantic association network analysis were used to explore perceptions and thematic differences before and after COVID-19.
Findings
This research constructed a multidimensional framework of guest-perceived values for peer-to-peer accommodation in the context of COVID-19. The findings showed that the emphasis on functionality in peer-to-peer accommodation changed; perceived emotional values associated with peer-to-peer stays were more complex; perceived social values decreased, host–guest interactions were reduced and online communication became a stronger trend; tourist preferences for types of experiences changed, and people changed their destination selections; perceived conditional value was reflected in perceived risks, and the perceptions of environmental health, service and physical risks increased.
Research limitations/implications
This research has constructed a multidimensional framework of tourist perceived value on the basis of peer-to-peer accommodation context and epidemic background and has thus shown the changes in tourist perceived value of peer-to-peer accommodation before and after COVID-19.
Originality/value
To the best of authors’ knowledge, this research constitutes the first attempt to explore the perceptual differences for peer-to-peer accommodations before and after COVID-19 based on an extensive data set of online reviews from multiple provinces of China.
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Bowen Jia, Jiaying Wu, Juan Du, Yun Ji and Lina Zhu
The purpose of this paper is to calculate the local guaranteed fiscal revenue with the local fiscal revenue of 31 provinces, and predict their guaranteed fiscal revenue in 2018…
Abstract
Purpose
The purpose of this paper is to calculate the local guaranteed fiscal revenue with the local fiscal revenue of 31 provinces, and predict their guaranteed fiscal revenue in 2018 with the artificial neural network (ANN).
Design/methodology/approach
The principal components analysis (PCA), particle swarm optimization (PSO) and extreme learning machine (ELM) model was designed to produce the inputs of KMV model. Then the KMV model was used for obtaining the default probabilities under different issuance scales. Data were collected from Wind Database. MATLAB 2018b and SPSS 22 were used in the field of modeling and results analysis.
Findings
This study’s findings show that PCA–PSO–ELM proposed in this research has the highest accuracy in terms of the prediction compared with ELM, back propagation neural network and auto regression. And PCA–PSO–ELM–KMV model can calculate the secure issuance scale of local government bonds effectively.
Practical implications
The sustainability forecast in this study can help local governments effectively control the scale of debt issuance, strengthen the budget management of local debt and establish the corresponding risk warning mechanism, which could make local governments maintain good credit ratings.
Originality/value
This study sheds new light on helping local governments avoid financial risks effectively, and it is conducive to establish a debt repayment reserve system for local governments and the proper arrangement for stock debt.
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Lina Zhong, Xiaonan Li, Sunny Sun, Rob Law and Mengyao Zhu
Existing tourism review articles have limited review topics and cover a relatively short period. This review paper aims to extend the coverage of the previous literature and…
Abstract
Purpose
Existing tourism review articles have limited review topics and cover a relatively short period. This review paper aims to extend the coverage of the previous literature and enhances the completeness of tourism-related studies to provide comprehensive tourism-related literature from 1945 (World War II onward) to 2022. Specifically, this paper reveals the major research themes present in published tourism research during this time period and highlights the evolution of tourism research from the preliminary phase, the transversal phase, to the growth phase.
Design/methodology/approach
The present study visualizes tourism research through networks of coauthors and their countries and regions, cocitation analysis of keywords and explores the thematic evolution of tourism research after the World War II (i.e., 1945–2022) from Web of Science and Google Scholar through bibliometric analysis.
Findings
Findings reveal that the themes of tourism research in the past years can be divided into seven major research themes. The tourism research evolution from World War II to 2022 can be categorized into three stages: preliminary (1945–1970), transversal (1971–2004) and growth (2005–2022). In addition, the research themes of tourism are not static but evolve according to the dynamics of the society and the industry, and that seven main research themes have been formed, namely, “heritage tourism,” “medical tourism,” “adventure tourism,” “dark tourism,” “sustainable tourism,” “rural tourism” and “smart tourism.”
Originality/value
The present study expands and refines the comprehensive literature in tourism research, as well as reveals the trends and dynamics in tourism research through network analysis and thematic evolution research methods.
目的
现有的旅游评论文章在审查主题方面有限, 并且涵盖的时间相对较短。本综述文章扩展了先前文献的涵盖范围, 增强了与旅游相关研究的完整性, 提供了从1945年(第二次世界大战之后)到2022年的全面旅游相关文献。具体而言, 本文揭示了此期间发表的旅游研究中的主要研究主题, 并突出了旅游研究从初步阶段、横向阶段到增长阶段的演变。
设计/方法/途径
本研究通过共同作者及其国家的网络、关键词的共同引用分析, 将旅游研究可视化, 并探索二战后旅游研究的主题演变。本研究通过文献计量学分析, 将 Web of Science (WoS) 和 Google Scholar 中的旅游研究(即 1945–2022 年)可视化。
研究结果
研究结果显示, 过去几年的旅游研究主题可分为七大研究主题。从第二次世界大战到 2022 年的旅游研究演变可分为三个阶段:初步阶段(1945–1970 年)、横向阶段(1971–2004 年)和成长阶段2005–2022 年)。此外, 旅游的研究主题并不是静态的, 而是根据社会和行业的动态而演变, 形成了七个主要研究主题, 即“遗产旅游”、“医疗旅游”、“冒险旅游”、“黑暗旅游”、“可持续旅游”、“乡村旅游”和“智慧旅游”。
原创性
本研究通过网络分析和主题演变研究方法扩展和完善了旅游研究方面的综合文献, 并揭示了旅游研究的趋势和动态。
Objetivo
Los artículos de revisión existentes sobre turismo tienen temas de revisión limitados y cubren un periodo relativamente corto. Este artículo de revisión amplía la cobertura de la bibliografía anterior y mejora la exhaustividad de los estudios relacionados con el turismo para ofrecer una bibliografía exhaustiva sobre el turismo desde 1945 (Segunda Guerra Mundial en adelante) hasta 2022. En concreto, este documento revela los principales temas de investigación presentes en la investigación turística publicada durante este periodo de tiempo y destaca la evolución de la investigación turística desde la fase preliminar, la fase transversal, hasta la fase de crecimiento.
Diseño/metodología/enfoque
El presente estudio visualiza la investigación turística a través de redes de coautores y sus países y regiones, análisis de co-citación de palabras clave, y explora la evolución temática de la investigación turística después de la Segunda Guerra Mundial (es decir, 1945–2022) a partir de Web of Science y Google Scholar mediante análisis bibliométricos.
Resultados
Los resultados revelan que los temas de la investigación turística de los últimos años pueden dividirse en siete grandes temas de investigación. La evolución de la investigación turística desde la Segunda Guerra Mundial hasta 2022 puede clasificarse en tres etapas: preliminar (1945–1970), transversal (1971–2004) y de crecimiento (2005–2022). Además, los temas de investigación del turismo no son estáticos, sino que evolucionan según la dinámica de la sociedad y de la industria, y que se han formado siete temas principales de investigación, a saber: “turismo patrimonial”, “turismo médico”, “turismo de aventura”, “turismo oscuro”, “turismo sostenible”, “turismo rural” y “turismo inteligente”.
Originalidad/valor
El presente estudio amplía y perfecciona la amplia bibliografía existente en el campo de la investigación turística, además de revelar las tendencias y la dinámica de la investigación turística mediante el análisis de redes y los métodos de investigación de evolución temática.
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Abubakar Sadiq Muhammad, Ibrahim Adeshola and Labaran Isiaku
Generation Z (Gen-Z), sometimes known as “digital natives”, represents the first generation to become immersed in digital communication. In a multicultural environment, this study…
Abstract
Purpose
Generation Z (Gen-Z), sometimes known as “digital natives”, represents the first generation to become immersed in digital communication. In a multicultural environment, this study aims to explore which types of factors are most beneficial in connection with Gen-Z’s impulsive purchase behaviour.
Design/methodology/approach
This study adopts an exploratory sequential mixed-method design, incorporating both qualitative and quantitative approaches. In Study 1, focus group discussions are conducted to address “why” and “how” questions, whereas Study 2 uses a quantitative method to test the hypothetical model. The model is assessed using structural equation modelling. This study used the stimulus–organism–response (SOR) framework in the context of Instagram.
Findings
Building on Mehrabian and Russell’s (1974) concept and focus group discussions, Study 1 introduces a novel SOR model tailored to Instagram. In Study 2, the model is tested, and results confirm most hypotheses, except for three. Factors such as aesthetic appeal, scarcity promotions and discounted prices stimulate impulse buying behaviour in Gen-Z. Positive emotional responses evoked by these factors also influence impulse buying, whereas the impact of negative emotional responses is found to be insignificant.
Originality/value
This mixed-methods study enhances the theoretical understanding of Gen-Zers’ impulse buying behaviour by highlighting the influence of diverse independent variables. By using the SOR framework, it reveals the intricate emotional aspects impacting impulsive purchase decisions. The research provides new insights into online impulsive buying behaviour, particularly relevant to consumer psychology and behavioural economics among young collectivist consumers.