The purpose of this paper is to propose a new grey prediction model, GOFHGM (1,1), which combines generalised fractal derivative and particle swarm optimisation algorithms. The…
Abstract
Purpose
The purpose of this paper is to propose a new grey prediction model, GOFHGM (1,1), which combines generalised fractal derivative and particle swarm optimisation algorithms. The aim is to address the limitations of traditional grey prediction models in order selection and improve prediction accuracy.
Design/methodology/approach
The paper introduces the concept of generalised fractal derivative and applies it to the order optimisation of grey prediction models. The particle swarm optimisation algorithm is also adopted to find the optimal combination of orders. Three cases are empirically studied to compare the performance of GOFHGM(1,1) with traditional grey prediction models.
Findings
The study finds that the GOFHGM(1,1) model outperforms traditional grey prediction models in terms of prediction accuracy. Evaluation indexes such as mean squared error (MSE) and mean absolute error (MAE) are used to evaluate the model.
Research limitations/implications
The research study may have limitations in terms of the scope and generalisability of the findings. Further research is needed to explore the applicability of GOFHGM(1,1) in different fields and to improve the model’s performance.
Originality/value
The study contributes to the field by introducing a new grey prediction model that combines generalised fractal derivative and particle swarm optimisation algorithms. This integration enhances the accuracy and reliability of grey predictions and strengthens their applicability in various predictive applications.
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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, Xiaoya Zhang, Jia Rong, Hing Kai Chan, Jinyu Xiao and Haoyu Kong
Robots, as the crystallization of new artificial intelligence, are being applied in various fields, especially the hotel industry. They are seizing the opportunities, using…
Abstract
Purpose
Robots, as the crystallization of new artificial intelligence, are being applied in various fields, especially the hotel industry. They are seizing the opportunities, using technology to improve the overall quality and comprehensive competitiveness. However, they also cause many problems due to practical limitations. The purpose of this paper is to study customers' recognition and acceptance of hotel service robots to guide the successful promotion of this technology.
Design/methodology/approach
This paper proposed a comprehensive model based on the theory of planned behavior, the technology acceptance model and then the perceived value-based acceptance model. Exploratory factor analysis, confirmatory factor analysis, grouped regression analysis and path analysis was adopted to validate the impacts of each variable to obtain the final reliable model using data collected from hotel guests using a self-designed questionnaire.
Findings
The empirical research based on the theoretical model shows that the constructed conceptual model can thoroughly explain the influencing factors of hotel robot acceptance, enrich the acceptance theory and provide academic support for the use and popularization of hotel service robots. Among all variables, attitude, usefulness and perceived value are the factors that have the greatest impact on acceptance. They have significant differences in the effects of adjustment variables such as gender, educational level, whether hotel robots have been used, and whether other robot services have been experienced on different paths in the model.
Practical implications
This paper explored the customer acceptance of service robots in hotels, helped to understand the process of decision-making on service robot selection and contributed to the theoretical extension of the hospitality industry. The work guides hotel management to promote better-personalized products and services of robot technology in the hospitality industries.
Originality/value
The acceptance study on hotel service robots provides insight into the hotel industry to understand customers' attitudes and acceptance of emerging technology.
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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 Si, Yan Pan, Xiaoqing Zhang, Jie Wang, Jia Yao, Yanjie Wang, Fengbin Liu and Feng He
This paper aims to clarify the effects of metallic nanoparticles (NPs) additives and room temperature ionic liquids (ILs) on the tribological performance of electric contacts.
Abstract
Purpose
This paper aims to clarify the effects of metallic nanoparticles (NPs) additives and room temperature ionic liquids (ILs) on the tribological performance of electric contacts.
Design/methodology/approach
Tribological properties of copper (Cu) and silver (Ag) NPs as lubricant additives in different lubricants of ILs or polyalphaolefin (PAO) oils under applied electric currents were investigated. After tribological tests, morphologies of worn surfaces were observed; meanwhile, lubrication and anti-wear properties were analyzed.
Findings
The mixture solution of the IL and Cu NPs showed desirable lubrication and anti-wear properties due to the reduction of electrocorrosion and the enhancement of rolling effects of particles in the contact region. The anti-wear performance of Cu NPs is better than that of Ag NPs due to the difference in the particle size. The PAO oil with the Cu NPs additives showed poor lubrication properties due to the low solubility of the particles in the oil. When the direction of applied current was changed, the friction of the lubricant with better conductivity was more stable in the variation trend.
Originality/value
This paper begins with a study of tribological properties of Cu and Ag NPs as lubricant additives in different lubricants of IL or PAO oils under applied electric currents. The authors then propose several methods and possible solutions which could be implemented to improve the tribological performance of electric contacts.
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Lei Zhu, Jinting Sun, Lina Zhang, Jing Du, Dezhi Li and Xianbo Zhao
It is a complex and dynamic process to provide high-quality rural infrastructure. However, there lacks a holistic performance evaluation method for rural infrastructure provision…
Abstract
Purpose
It is a complex and dynamic process to provide high-quality rural infrastructure. However, there lacks a holistic performance evaluation method for rural infrastructure provision that reflects changing rural social needs and takes a village as a whole. This study aims to develop a holistic and dynamic performance evaluation model for rural infrastructure in Mainland China.
Design/methodology/approach
This study established an evaluation index system by combining the lifecycle theory and the economy, efficiency, effectiveness and equity (4E) theory. This study developed an evaluation model by using the analytic network process (ANP) and matter-element analysis theory (MEAT). The model was validated by two representative villages in Mainland China.
Findings
The developed model can reflect dynamic social needs and effectively evaluate the overall infrastructure provision performance of a village. The weight of indicators reflects the changes in Mainland China’s contemporary rural social needs, with particular emphasis on the impact and output performance. The evaluation result shows that the overall performance of the representative villages was excellent but had a tendency toward good. Although the output performance was excellent, different input, process and impact performances resulted in different downgrade trends.
Originality/value
This study provides a theoretical basis for disaggregating the complex issue of the performance of rural infrastructure provision. The results can be used by relevant authorities to make a holistic and dynamic evaluation of the performance of rural infrastructure provision and timely revise planning and management policies.
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Lina Frennesson, Joakim Kembro, Harwin de Vries, Luk Van Wassenhove and Marianne Jahre
To meet the rising global needs, the humanitarian community has signed off on making a strategic change toward more localisation, which commonly refers to the empowerment of…
Abstract
Purpose
To meet the rising global needs, the humanitarian community has signed off on making a strategic change toward more localisation, which commonly refers to the empowerment of national and local actors in humanitarian assistance. However, to this date, actual initiatives for localisation are rare. To enhance understanding of the phenomenon, the authors explore localisation of logistics preparedness capacities and obstacles to its implementation. The authors particularly take the perspective of the international humanitarian organisation (IHO) community as they are expected to implement the localisation strategy.
Design/methodology/approach
A phenomenon-driven, exploratory and qualitative study was conducted. Data collection included in-depth interviews with 28 experienced humanitarian professionals.
Findings
The findings showed the ambiguity inherent in the localisation strategy with largely different views on four important dimensions. Particularly, the interviewees differ about strengthening external actors or internal national/local offices. The resulting framework visualises the gap between strategy formulation and implementation, which forms major obstacles to the localisation aims.
Research limitations/implications
Further research is required to support the advancement of localisation of logistics preparedness capacities. Important aspects for future research include triangulation of results, other stakeholder perspectives and the influence of context.
Practical implications
The authors add to the important debate surrounding localisation by offering remedies to overcoming obstacles to strategy implementation. Further, the authors’ proposed framework offers a language to precisely describe the ways in which IHOs (should) view localisation of logistics preparedness capacities and its operationalisation.
Originality/value
To the best of authors’ knowledge, this paper is the first academic article on localisation within the humanitarian logistics context.
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Jian Pei Kong, Basmawati Baharom, Norshariza Jamhuri, Khalizah Jamli, Siti Farah Zaidah Mohd Yazid, Norafidza Ashiquin, Lina Isnin, Chooi Wah Leow and Siew Mee Lim
The provision of meals has long been regarded as an essential part of treatment of hospitalized patients complementing medical procedures and nursing management. Today, despite…
Abstract
Purpose
The provision of meals has long been regarded as an essential part of treatment of hospitalized patients complementing medical procedures and nursing management. Today, despite changes in the health-care landscape, which focused on improving the quality and efficiency of hospital care, malnutrition among inpatient was still a common worldwide concern.
Design/methodology/approach
This was a multi-centre, randomized study conducted in 21 study sites comprising 21 state and specialist government hospitals under the Ministry of Health, Malaysia. The sample size for this study was calculated with purposive sampling method, followed by proportionate sampling to determine the random sample size of each of the study sites. The total sample size required for this study was 2,759 subjects. A validated data collection form was used in the study.
Findings
Only 32.2 % and 37.6 % of subjects achieved adequate energy and protein intake, respectively, during their admission to medical ward. The study result showed that the overall mean energy and protein intake was 794.6 ± 487.8 kcal and 35.2 ± 24.3 g, respectively. The estimated energy (p = 0.001) and protein (p = 0.001) intake of all study sites was significantly lower compared to the adequacy value.
Research limitations/implications
The adequacy intake in this study was only carried out in medical wards, thus reproducible result among other wards in different study sites could not be confirmed. Besides, this study assumed that the portion eaten by subjects during lunch and dinner was the same, and therefore, either one was recorded together with breakfast and either lunch or dinner to represent a subject’s daily intake.
Originality/value
This was the first nationwide study to report the adequacy of energy and protein intake of patients receiving therapeutic diets in the government hospital setting in Malaysia.
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Khairul Akmaliah Adham, Nadiah Mahmad Nasir, Nur Sa’adah Muhamad, Saida Farhanah Sarkam and Raudha Md Ramli
This study aims to investigate the attributes of halal tourism with family members by exploring the experiences of Muslims who had travelled with their families to the local…
Abstract
Purpose
This study aims to investigate the attributes of halal tourism with family members by exploring the experiences of Muslims who had travelled with their families to the local islands of the Maldives. This country was chosen as the context of the study as it is a destination with a fully Muslim population, which served as a normative context for studying halal tourism.
Design/methodology/approach
A basic qualitative design was adopted as the research methodology, with the data collected through in-depth interviews with the selected Muslim families.
Findings
Nine emergent themes unique to the context of halal tourism with family members extend the existing discussion on family tourism and halal tourism. Overall, halal family tourism experience is laden with Islamic family values, characterised by the dimensions of group organisation, safety, practicality, risk management as well as mutual respect and benefit between travellers and providers, and among family members. This experience leads to increased family bonding and the internalisation of Islamic values. Hence, this study highlights halal tourism with family members as a form of dignified tourism.
Originality/value
Travel with the family deserves greater academic attention due to the large market size and the distinctive nature of travel undertaken by groups of individuals bonded through familial relationships. To the best of the authors’ knowledge, this study is among the first to explore the attributes of halal tourism with family members, and the normative Islamic context of the local islands of the Maldives assisted in elucidating the emergent themes and values of this form of halal tourism with family members. Halal family tourism, as a nexus of family tourism and halal tourism, offers a huge potential of future research avenue.
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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.