Xinyi Zhang, Yanni Yu and Ning Zhang
This study aims to provide a literature review and bibliometric analysis of sustainable supply chain management using big data. We reviewed the literature on sustainable supply…
Abstract
Purpose
This study aims to provide a literature review and bibliometric analysis of sustainable supply chain management using big data. We reviewed the literature on sustainable supply chain management under big data from 2012 to 2019 and extracted 777 articles.
Design/methodology/approach
We conducted quantitative analysis and data network visualization of the chosen literature, including authors, journals, countries, research institutions and citations.
Findings
We discovered that the development of this interdisciplinary field has gained increasing popularity among researchers around the world, such as China and the US publishing the most articles and Western states having more cooperation, which indicates this research topic is growing in significance globally.
Originality/value
Scientific and technological revolutions such as big data have been incorporated in various industries. Modern supply chain management has also been combined with the advances in data science to achieve sustainability goals. No studies have reviewed the sustainable supply chain management based on big data. This study fills this gap.
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Jian Wang, Xinyi Zhang, Min Du, Xueyan Shan and Zhiyu Tian
The purpose of this study is to provide ideas and theoretical guidance for green, environmentally friendly and efficient “bacteriostasis with bacteria” technology.
Abstract
Purpose
The purpose of this study is to provide ideas and theoretical guidance for green, environmentally friendly and efficient “bacteriostasis with bacteria” technology.
Design/methodology/approach
In this paper, a beneficial strain of bacteria was extracted and purified from marine mud. Weight-loss test, morphological observation and electrochemical test were used to systematically study the effect of sulfate-reducing bacteria (SRB)-induced corrosion inhibition on X65 steel in simulated offshore oil field production water.
Findings
The results showed that a beneficial strain was selected and identified as Vibrio alginolyticus. Under the condition of co-culture of SRB, the average corrosion rate of X65 steel was significantly reduced. In the mixed bacterial system, the surface of X65 steel samples was relatively flat, and the structure of biofilm and corrosion product film was dense. The number of corrosion pits, the average diameter and depth of corrosion pits were significantly reduced. The localized corrosion of X65 steel was significantly inhibited.
Originality/value
The complex and changing marine environment makes the corrosion problem of marine steel increasingly severe, and the microbiologically influenced corrosion (MIC) caused by SRB is particularly serious. The research and development of environmentally friendly corrosion protection technology is a long-term and difficult problem. The use of beneficial microorganisms to control MIC is a green and efficient anticorrosion measure. Compared with terrestrial microorganisms, marine microorganisms can adapt to complex environments, and their metabolites exhibit special biological activities. The use of marine beneficial bacteria can inhibit SRB activity to achieve the corrosion inhibition effect.
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Based on the theoretical predictions of media equation theory and the computers-are-social-actors (CASA) perspective, this study aims to examine the effects of performance error…
Abstract
Purpose
Based on the theoretical predictions of media equation theory and the computers-are-social-actors (CASA) perspective, this study aims to examine the effects of performance error type (i.e. logical, semantic or syntactic), task type and personality presentation (i.e. dominant/submissive and/or friendly/unfriendly) on users’ level of trust in their personal digital assistant (PDA), Siri.
Design/methodology/approach
An experimental study of human–PDA interactions was performed with two types of tasks (social vs functional) randomly assigned to participants (N = 163). While interacting with Siri in 15 task inquiries, the participants recorded Siri’s answers for each inquiry and self-rated their trust in the PDA. The answers were coded and rated by the researchers for personality presentation and error type.
Findings
Logical errors were the most detrimental to user trust. Users’ trust of Siri was significantly higher after functional tasks compared to social tasks when the effects of general usage (e.g. proficiency, length and frequency of usage) were controlled for. The perception of a friendly personality from Siri had an opposite effect on social and functional tasks in the perceived reliability dimension of trust and increased intensity of the presented personality reduced perceived reliability in functional tasks.
Originality/value
The research findings contradict predictions from media equation theory and the CASA perspective while contributing to a theoretical refinement of machine errors and their impact on user trust.
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Lei Xie, Shaoping Qiu and Xinyi Bian
Building on social exchange theory and selection, optimization and compensation theory, this study aims to examine a moderated curvilinear relationship between servant leadership…
Abstract
Purpose
Building on social exchange theory and selection, optimization and compensation theory, this study aims to examine a moderated curvilinear relationship between servant leadership (SL) and work-family conflict (WFC).
Design/methodology/approach
Participants were 329 female workers recruited from a Chinese small business in the service Industry. A three-step hierarchical regression was conducted to examine the relationships among the variables and the incremental contribution of SL and age and the squared term of SL.
Findings
Study results confirmed a curvilinear relationship between SL and WFC and the moderating effect of age. When younger female employees perceived a moderate range of SL from their supervisors, they reported higher WFC compared to the low or high level of perceived SL. On the contrary, senior female employees reported a lower level of WFC when they perceived a moderate level of SL than when they perceived very low or high levels.
Originality/value
SL research has experienced a period of exponential growth in the past decade. This study advanced the field of leadership by arguing that SL perceived by female employees is curvilinearly related to WFC and the curvilinear relationship is moderated by age.
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Xinyi Liu, Zhiyong Li, Qiqi Zhang and Yue Zhang
This study aims to identify the factors influencing Chinese outbound tourists’ perceptions of safety in Thailand. A media coverage analysis compares the safety perceptions of…
Abstract
Purpose
This study aims to identify the factors influencing Chinese outbound tourists’ perceptions of safety in Thailand. A media coverage analysis compares the safety perceptions of visitors and non-visitors.
Design/methodology/approach
A mixed-methods approach was adopted. Based on a content analysis of 204 news items related to safety incidents in Thailand, this paper divides the factors of safety perception into four dimensions. The quantitative data were gathered by self-administered questionnaires from 370 visitors who have previously visited Thailand and 407 potential visitors yet to visit Thailand.
Findings
The results demonstrated significant differences in the safety perceptions of visitors and non-visitors, indicating non-visitors’ fear of uncertainty and intolerance of the exotic. The study also confirmed social-demographic characteristics influence destination safety perceptions. For non-visitors, safety issues tend to have a negative influence on future visit intention, but those with previous travel experience have less concerns.
Research limitations/implications
The findings provide valuable insights to industry practice. More publicity campaigns within the Chinese media may reduce the spillover effects of crisis events and correct the potentially inaccurate images of disease and terrorism risk. Thai government is suggested to develop the Chinese inbound market, improve the quality of tourism infrastructure and standardisation and efficiency of tourism services.
Originality/value
The media plays a significant role in destination image, tourist decision-making and safety measures imposed by governments. This study identified the factors influencing Chinese outbound tourists’ perceptions of safety in Thailand through an analysis of media coverage. The study provides a better understanding of the differences in safety perceptions between visitors and non-visitors to Thailand. The segmentation of visitors and non-visitors also may help destination managers to cater to differing expectations of safety.
研究目的
本研究旨在探讨中国赴泰游客和潜在赴泰游客对泰国安全认知的影响因素。本研究通过对媒体报道文本的分析,识别出中国出境游客泰国安全感的影响因素,并进一步对游客与潜在游客在安全感知上的差异进行对比。
设计/方法/方法
本研究采用了混合方法。本文通过对204篇泰国安全事件新闻报道的内容进行分析,将安全感知因素分为四个维度。定量研究数据是从370名有泰国旅游经历的游客和407名没有去过泰国的潜在游客中收集的。
研究结果
研究结果显示游客与潜在游客在安全认知上有显著差异,体现了潜在访客对异国情调的不确定性和不宽容。本研究也证实了社会人口学特征对两个群体的目的地安全感知都有影响。此外,对于潜在游客来说,大多数安全问题都会对他们未来的访问意图产生负面影响,但对于游客来说,结果则相反。
原创性/价值
媒体在目的地形象、旅游决策和政府安全措施方面发挥着重要作用。本研究以媒体报导为分析工具,探讨中国出境游客泰国安全感的影响因素。这项研究有助于更好地了解中国赴泰游客和潜在游客在安全认知方面的差异。游客和潜在游客的细分也有助于目的地管理者满足他们对安全的特定期望。
研究局限性/启示
我们的发现为行业实践提供了有价值的见解。在中国媒体上开展更多的宣传活动,可以减少危机事件的外溢效应,纠正有关疾病和恐怖主义风险的潜在地不准确形象。此外,泰国政府应提高旅游基础设施的质量,提高旅游服务的标准化和效率。
Propósito
Este estudio identifica los factores que influyen en la seguridad percibida de Tailandia por los turistas emisores chinos, con el análisis de la cobertura de los medios, y además compara las diferencias en las percepciones de seguridad entre visitantes y no visitantes.
Diseño/metodología/enfoque
Se ha adoptado una metodología mixta. Basado en el análisis de contenido de 204 noticias sobre incidentes de seguridad en Tailandia, este trabajo divide los factores de percepción de seguridad en cuatro dimensiones. Los datos cuantitativos se recopilaron mediante cuestionarios autoadministrados de 370 visitantes que tenían experiencia en viajes a Tailandia y 407 visitantes potenciales que no habían estado en Tailandia.
Resultados
Los resultados demuestran diferencias significativas en la percepción de seguridad de los visitantes y no visitantes, lo que indica el miedo de los no visitantes a la incertidumbre y la intolerancia de lo exótico. Este estudio también confirma que las características sociodemográficas influyen en la percepción de seguridad del destino de cada grupo. Además, para los no visitantes, la mayoría de las cuestiones de seguridad influyen negativamente en su intención de visita futura, pero para los turistas, los resultados son contrarios.
Limitaciones/implicaciones de la investigación
Los resultados brindan información valiosa para la práctica de la industria. Más campañas publicitarias en los medios chinos podrían reducir los efectos secundarios de los eventos de crisis y corregir las imágenes potencialmente inexactas sobre los riesgos de enfermedades y terrorismo. Además, el gobierno tailandés debería mejorar la calidad de su infraestructura turística y aumentar la estandarización y eficiencia de los servicios turísticos.
Originalidad/valor
Los medios de comunicación juegan un papel importante en la imagen del destino, la toma de decisiones turísticas y las medidas de seguridad de los gobiernos. Este estudio identifica los factores que influyen en la seguridad percibida de Tailandia por parte de los turistas chinos, con el análisis de la cobertura de los medios. El estudio proporciona una mejor comprensión de las diferencias en las percepciones de seguridad entre visitantes y no visitantes de Tailandia. La segmentación de visitantes y no visitantes también ayuda a los gestores de los destinos a satisfacer expectativas específicas de seguridad.
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Zhiqiang Zhang, Xiaoming Li, Xinyi Xu, Chengjie Lu, Yihe Yang and Zhiyong Shi
The purpose of this study is to explore the potential of trainable activation functions to enhance the performance of deep neural networks, specifically ResNet architectures, in…
Abstract
Purpose
The purpose of this study is to explore the potential of trainable activation functions to enhance the performance of deep neural networks, specifically ResNet architectures, in the task of image classification. By introducing activation functions that adapt during training, the authors aim to determine whether such flexibility can lead to improved learning outcomes and generalization capabilities compared to static activation functions like ReLU. This research seeks to provide insights into how dynamic nonlinearities might influence deep learning models' efficiency and accuracy in handling complex image data sets.
Design/methodology/approach
This research integrates three novel trainable activation functions – CosLU, DELU and ReLUN – into various ResNet-n architectures, where “n” denotes the number of convolutional layers. Using CIFAR-10 and CIFAR-100 data sets, the authors conducted a comparative study to assess the impact of these functions on image classification accuracy. The approach included modifying the traditional ResNet models by replacing their static activation functions with the trainable variants, allowing for dynamic adaptation during training. The performance was evaluated based on accuracy metrics and loss profiles across different network depths.
Findings
The findings indicate that trainable activation functions, particularly CosLU, can significantly enhance the performance of deep learning models, outperforming the traditional ReLU in deeper network configurations on the CIFAR-10 data set. CosLU showed the highest improvement in accuracy, whereas DELU and ReLUN offered varying levels of performance enhancements. These functions also demonstrated potential in reducing overfitting and improving model generalization across more complex data sets like CIFAR-100, suggesting that the adaptability of activation functions plays a crucial role in the training dynamics of deep neural networks.
Originality/value
This study contributes to the field of deep learning by introducing and evaluating the impact of three novel trainable activation functions within widely used ResNet architectures. Unlike previous works that primarily focused on static activation functions, this research demonstrates that incorporating trainable nonlinearities can lead to significant improvements in model performance and adaptability. The introduction of CosLU, DELU and ReLUN provides a new pathway for enhancing the flexibility and efficiency of neural networks, potentially setting a new standard for future deep learning applications in image classification and beyond.
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Xinyi Jiang, Yanfeng Chen, Bo Zhang and Dongyuan Qiu
This paper aims to present a simplified method to analyze the transient characteristics of a fractional-order very high frequency (VHF) resonant boost converter. The transient…
Abstract
Purpose
This paper aims to present a simplified method to analyze the transient characteristics of a fractional-order very high frequency (VHF) resonant boost converter. The transient analytical solutions of state variables obtained by this method could be used as a guide for parameter design and circuit optimization.
Design/methodology/approach
The VHF converter is decoupled into a simplified equivalent circuit model and described by the differential equation. The solution of the simplified equivalent circuit model is taken as the main oscillation component of the transient state variable. And the equivalent small parameter method (ESPM) and Kalman filter technology are used to solve the differential equation of the converter to obtain the steady-state ripple component. Then, by superimposing the abovementioned two parts, the approximate transient analytical solution can be acquired. Finally, the influence of the fractional order of the energy storage elements on the transient process of the converter is discussed.
Findings
The results from the proposed method agree well with those from simulations, which indicates that the proposed method can effectively analyze the transient characteristic of the fractional-order VHF converter, and the analytical solution derived from the proposed mathematical model shows sufficient accuracy.
Originality/value
This paper proposes for the first time a method to analyze the transient characteristics of a fractional-order VHF resonant boost converter. By combining the main oscillated solution derived from the simplified equivalent circuit model with the steady-state solution based on ESPM, this method can greatly reduce the computation amount to estimate the transient solution. In addition, the discussion on the order of fractional calculus of energy storage components can provide an auxiliary guidance for the selection of circuit parameters and the study of stability.
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Ruilin Yu, Yuxin Zhang, Luyao Wang and Xinyi Du
Time headway (THW) is an essential parameter in traffic safety and is used as a typical control variable by many vehicle control algorithms, especially in safety-critical ADAS and…
Abstract
Purpose
Time headway (THW) is an essential parameter in traffic safety and is used as a typical control variable by many vehicle control algorithms, especially in safety-critical ADAS and automated driving systems. However, due to the randomness of human drivers, THW cannot be accurately represented, affecting scholars’ more profound research.
Design/methodology/approach
In this work, two data sets are used as the experimental data to calculate the goodness-of-fit of 18 commonly used distribution models of THW to select the best distribution model. Subsequently, the characteristic parameters of traffic flow are extracted from the data set, and three variables with higher importance are extracted using the random forest model. Combining the best distribution model parameters of the data set, this study obtained a distribution model with adaptive parameters, and its performance and applicability are verified.
Findings
In this work, two data sets are used as the experimental data to calculate the goodness-of-fit of 18 commonly used distribution models of THW to select the best distribution model. Subsequently, the characteristic parameters of traffic flow are extracted from the data set, and three variables with higher importance are extracted using the random forest model. Combining the best distribution model parameters of the data set, this study obtained a distribution model with adaptive parameters, and its performance and applicability are verified.
Originality/value
The results show that the proposed model has a 62.7% performance improvement over the distribution model with fixed parameters. Moreover, the parameter function of the distribution model can be regarded as a quantitative analysis of the degree of influence of the traffic flow state on THW.
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Lixia Wang, Xin Zhang, Beibei Yan and Vigdis Boasson
This paper aims to examine the internal logical relationship between two intergenerational inheritance ways of passing property rights and residual control rights (RCR) and to…
Abstract
Purpose
This paper aims to examine the internal logical relationship between two intergenerational inheritance ways of passing property rights and residual control rights (RCR) and to construct a conceptual model comprising transfer elements, paths and timing of succession in this process.
Design/methodology/approach
Driven by the cases of Haixin, Tianyijiao and Changhe Group, this paper applies research methods of copying and expanding analysis logic, progressive deduction, content analysis and comparative research based on the perspective of HeXie theory to explore the deep interrelation of transfer elements, paths and timing during family business succession.
Findings
The findings present that the content of intergenerational inheritance of a family firm is the inheritance of property rights and RCR. First, the inheritance of property rights is a static inheritance of time-point delivery, whereas the inheritance of RCR is a dynamic inheritance process for a period of time. Second, the inheritance of property rights and RCR are not independent; only a “HeXie” succession of both rights can realize a successful inheritance of family firms.
Originality/value
This paper constructs the paths and timing model of intergenerational inheritance of property rights and RCR in family firms. This paper integrates the current literature studies on the family inheritance of property rights and RCR and explains their internal mechanisms. This paper also provides a theoretical foundation and empirical evidence for family business transitions in the business world.
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Shilei Zhang, Teng Zhao, Xinyi Liu, Chunhao Wei and Sijun Liu
Building on the broaden-and-build theory and incorporating a self-regulatory perspective, this study examines the relationship between trait gratitude and subjective career…
Abstract
Purpose
Building on the broaden-and-build theory and incorporating a self-regulatory perspective, this study examines the relationship between trait gratitude and subjective career success and investigates the mediating roles of growth mindset of work and career network breadth.
Design/methodology/approach
Time-lagged data were collected in three waves from a sample of 314 employees in China. Hypotheses were tested using structural equation modeling.
Findings
The findings demonstrate that trait gratitude is positively related to SCS, mediated by growth mindset of work as an indicator of psychological resources and career network breadth as an indicator of social resources. Trait gratitude is more strongly associated with network breadth (i.e., social resources) than with growth mindset (i.e., psychological resources).
Practical implications
Organizations may find trait gratitude an applicable addition to the selection criteria during the recruitment process.
Originality/value
By identifying trait gratitude as an antecedent of SCS and revealing its underlying mechanisms, the current study points to a new perspective on the study of career success.