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Article
Publication date: 19 January 2022

Zhihong Jin, Xiaohan Wang, Jiaqing Sun and Qi Xu

Energy groups are cargo owners with large amounts of energy sources (such as coal) to transport. To achieve a satisfactory tradeoff between the reliability requirements of the sea…

1373

Abstract

Purpose

Energy groups are cargo owners with large amounts of energy sources (such as coal) to transport. To achieve a satisfactory tradeoff between the reliability requirements of the sea transportation process and the need to control the investment cost, they usually set up a self-owned fleet supplemented by a chartered fleet. This paper aims to investigate the best fleet structure and to evaluate the investment scheme under volatile circumstances in the shipping market.

Design/methodology/approach

The authors construct a mathematical model to determine the ratio of the self-owned fleet to the total fleet to minimize fleet operating costs. The volatility of both freight rates and oil prices is taken into consideration. The CPLEX solver is used to empirically analyze real data from an energy group in China, and the ship investment plan is evaluated considering the technical and economic feasibility.

Findings

If the ratio of the self-owned fleet to the total fleet is increased to the optimal of 90.40%, the total operating cost is reduced by 33.98%. Thus, the energy group should increase its capacity with a Panamax vessel of approximately 82,000 DWT. Purchasing a 5-year-old secondhand ship and building a new ship both have good investment return indicators.

Originality/value

For cargo owners engaging in transporting bulk cargo domestically in China, the suggested fleet ratio can provide a reference with a universal application scale, given the boundary economic conditions (including the volatility of freight rates and oil prices in the shipping market) in the paper.

Details

Maritime Business Review, vol. 7 no. 3
Type: Research Article
ISSN: 2397-3757

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Article
Publication date: 6 September 2024

Yongsheng Zhao, Jiaqing Luo, Ying Li, Caixia Zhang and Honglie Ma

The combination of improved PSO (IPSO) algorithm and artificial neural network (ANN) model for intelligent monitoring of the bearing performance of the hydrostatic turntable.

29

Abstract

Purpose

The combination of improved PSO (IPSO) algorithm and artificial neural network (ANN) model for intelligent monitoring of the bearing performance of the hydrostatic turntable.

Design/methodology/approach

This paper proposes an artificial neural network model based on IPSO algorithm for intelligent monitoring of hydrostatic turntables.

Findings

The theoretical model proposed in this paper improves the accuracy of the working performance of the static pressure turntable and provides a new direction for intelligent monitoring of the static pressure turntable. Therefore, the theoretical research in this paper is novel.

Originality/value

Theoretical novelties: an ANN model based on the IPSO algorithm is designed to monitor the load-bearing performance of a static pressure turntable intelligently; this study show that the convergence accuracy and convergence speed of the IPSO-NN model have been improved by 52.55% and 10%, respectively, compared to traditional training models; and the proposed model could be used to solve the multidimensional nonlinear problem in the intelligent monitoring of hydrostatic turntables.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-03-2024-0081/

Details

Industrial Lubrication and Tribology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0036-8792

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Article
Publication date: 4 September 2024

Ningyuan Song, Kejun Chen, Jiaer Peng, Yuehua Zhao and Jiaqing Wang

This study aimed to uncover the characteristics of both misinformation and refutations as well as the associations between different aspects of misinformation and corresponding…

90

Abstract

Purpose

This study aimed to uncover the characteristics of both misinformation and refutations as well as the associations between different aspects of misinformation and corresponding ways of rebutting it.

Design/methodology/approach

Leveraging Hovland's persuasion theory as a research lens and taking data from two Chinese refutation platforms, we characterized the topics of COVID-19-related misinformation and refutations, misinformation communicator, persuasion strategies of misinformation, refutation communicators and refutation strategies based on content analysis. Then, logistic regressions were undertaken to examine how the characteristics of misinformation and refutation strategies interacted.

Findings

The investigation into the association between misinformation and refutations found that distinct refutation strategies are favored when debunking particular types of misinformation and by various kinds of refutation communicators. In addition, several patterns of persuasion strategies were identified.

Research limitations/implications

This study had theoretical and practical implications. It emphasized how misinformation and refutations interacted from the perspective of Hovland's persuasion theory, extending the scope of the existing literature and expanding the classical theory to a new research scenario. In addition, several patterns of persuasion strategies used in misinformation and refutation were detected, which may contribute to the refutation practice and help people become immune to misinformation.

Originality/value

This research is among the first to analyze the relationships between misinformation and refutation strategies. Second, we investigated the persuasion strategies of misinformation and refutations, contributing to the concerning literature. Third, elaborating on Hovland’s persuasion theory, this study proposed a comprehensive framework for analyzing the misinformation and refutations in China during the COVID-19 pandemic.

Details

Aslib Journal of Information Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2050-3806

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Article
Publication date: 1 March 2005

Maureen Berner

Cluster analysis on detailed federal outlay data from fiscal year (FY) 1962 to FY 1995 shows instead of being incremental or not, the budget is both. Spending is initially…

44

Abstract

Cluster analysis on detailed federal outlay data from fiscal year (FY) 1962 to FY 1995 shows instead of being incremental or not, the budget is both. Spending is initially volatile but becomes incremental over time and with political entrenchment. The theory of incrementalism needs to be updated to reflect this complexity. Also, patterns show that most spending falls into three main groups, which do not correspond to traditional budgetary classifications, and none of the patterns show any major shifts in response to process upheaval. This suggests (1) rethinking how to analyze budget data, and (2) while processes and decision-makers have changed, the decisions have not.

Details

Journal of Public Budgeting, Accounting & Financial Management, vol. 17 no. 4
Type: Research Article
ISSN: 1096-3367

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Article
Publication date: 26 July 2018

Michelle Chaotzu Wang and James Quo-Ping Lin

The purpose of this paper is to introduce a progressive strategy of the National Palace Museum (NPM) using new media art exhibitions as a creative marketing tool to interpret its…

2021

Abstract

Purpose

The purpose of this paper is to introduce a progressive strategy of the National Palace Museum (NPM) using new media art exhibitions as a creative marketing tool to interpret its collection, generate cultural value and navigate the greater global context.

Design/methodology/approach

A review of museum marketing literature and the challenges presented by Taiwan’s sociopolitical situation contextualize discussions on marketing activities and the emergence of museum-commissioned new media art at the NPM within the past two decades.

Findings

Democratic potency inherent in the digital medium has enabled the NPM to transcend the conflicting cultural perceptions surrounding its collection and fulfill the function of market expansion and cultural transmission.

Originality/value

Specialized heritage museums, such as the NPM, do not traditionally create or collect contemporary artworks that engage in ongoing cultural dialogues. This paper brings into view the novelty of using the digital medium to generate cultural value as exemplified in the new media art commissioned by the NPM.

Details

Arts and the Market, vol. 8 no. 2
Type: Research Article
ISSN: 2056-4945

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Article
Publication date: 18 April 2008

Sheau‐yueh J. Chao

This paper seeks to discuss the genealogical sources for Chinese immigrants as well as the settlement of Chinese in the USA and the historical evolution of Chinese names, their…

959

Abstract

Purpose

This paper seeks to discuss the genealogical sources for Chinese immigrants as well as the settlement of Chinese in the USA and the historical evolution of Chinese names, their origins, arrangement and development. It aims to cover the origins of various classes of Chinese surnames, followed by the content description of a traditional genealogical book for jiapu.

Design/methodology/approach

The paper researches the various ways that a Chinese person can find out about their ancestry.

Findings

The paper reveals the roles of libraries, including serving the needs of patrons interested in genealogical research, preserving and interpreting information through oral and family history projects and collaborating with other libraries through interlibrary loan, document delivery, library consortia, collection management and international resource‐sharing.

Research limitations/implications

The study provides information on where and how to locate the genealogical resources for researching the genealogy of a Chinese family.

Originality/value

The paper analyzes the value of genealogical research as a documentary source for population history, life expectancy in a clan, marriages and family connections, as well as lineage organizations and inter‐lineage relations.

Details

Collection Building, vol. 27 no. 2
Type: Research Article
ISSN: 0160-4953

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Article
Publication date: 11 June 2018

Iain Robertson

The purpose of this paper is to define and characterise the precise nature of these cultural systems and their resulting impact on the respective art and artists of each…

478

Abstract

Purpose

The purpose of this paper is to define and characterise the precise nature of these cultural systems and their resulting impact on the respective art and artists of each territory, by ascertaining the impact on those systems of their respective government and governance.

Design/methodology/approach

This paper is based on three approaches to art market modelling. All three are based on political ideologies. The first, which typifies the art markets of Western Europe and the USA, is predicated on a Pluralist and Neo-Liberal ideology. The others correspond to the systems of government in China, Taiwan, South Korea and Japan.

Findings

It has been shown in this paper that political systems and their accompanying ideology, born of cultural preferences, have impacted on the art markets of China, Taiwan, South Korea and Japan. It has been demonstrated that all four markets are employing variants of the international norm.

Research limitations/implications

The art that is exported from East Asia will only be accepted by East Asian national markets when East Asian art markets exercise a majority influence on emerging and transitional markets. It is not the intention of this paper to pursue this thought beyond the possibility that it may occur.

Practical implications

The ineluctable conclusion is, therefore, that the global art market is moving towards a bipolar affair.

Social implications

This paper also suggests the disengagement of East Asian and Chinese “culture” and art from a global (western) norm and production and consumption of national culture in East Asia by East Asians.

Originality/value

The paper looks (for the first time) at the direct (and subliminal) influence of political systems on art markets and the consequential effects of political ideology on the art markets of East Asia and China. The paper arrives at a series of precise definitions for the way that these art markets operate.

Details

Arts and the Market, vol. 8 no. 2
Type: Research Article
ISSN: 2056-4945

Keywords

Available. Open Access. Open Access
Article
Publication date: 18 November 2019

Wang Yabin and Jiagui Li

The purpose of this paper is to explore China’s online wine market segmentation on the basis of the wine-related lifestyle (WRL). Moreover, this study can provide further…

7297

Abstract

Purpose

The purpose of this paper is to explore China’s online wine market segmentation on the basis of the wine-related lifestyle (WRL). Moreover, this study can provide further understanding and reference about China’s wine market segmentation research, which is limited at present. This work can be helpful for those who want to do further research in the Chinese wine market. It is good for wine importers wanting to import wine to China to understand the Chinese wine consumers.

Design/methodology/approach

Survey data were obtained from a sample of 3,369 participants through cooperation between the College of Enology and the Yesmywine.com website. Questionnaire items included gender, age, area distribution, unit price, bottles consumed, drinking frequency, drinking time, wine-related knowledge, etc. Combined with the influence factors of the WRL, a structural equation model was developed. The data analysis, particularly employing principal component analysis, enabled the identification of five market segments.

Findings

Five distinct segments were identified within the wine market and designated as follows: wine official consumption type enthusiastic fancier; enjoyment consumption; fashionable consumption; and new, young wine drinkers.

Research limitations/implications

The research data were derived from Yesmywine, one of the largest online wine sale platforms. However, the impact of yesmywine is much smaller compared with Tmall and Taobao and Jingdong. In this paper, we can see that WRL is increasingly becoming a part of Chinese people’s daily lives, especially for the enthusiastic and fancier wine consumers, which is the official type of wine consumer. Next, an analysis of time series under the data of the near future years should be conducted to find the online wine segmentation market variation trend. Moreover, it is important to conduct cross-culture comparison between the Chinese and Australians. Brand positioning can be improved by better understanding China’s online wine market segmentation.

Practical implications

WRL segmentation is valuable for the wine importers and producers in west France, Italian, Germany and so on, as they want to develop China’s wine market and understand the mindset of Chinese wine consumers. The wine importers in China should focus more on consumers that enjoy wine along with newer and younger wine drinkers.

Originality/value

This paper analyzes a large sample (3,369) and therefore is useful for understanding online wine market segmentation and wine consumption behavior in China owing to China’s limited wine market segmentation literature. This paper is the first to use WRL tool to segment China’s online wine market. Moreover, the research data have reference value for those who want to learn more about China’s online wine market, as yesmywine is one of the largest online wine-sale platforms. It also gives some managerial implications for wineries and wine marketers that will be helpful to wine companies in understanding the emerging Chinese wine market and in enacting wine marketing strategies more effectively.

Details

British Food Journal, vol. 122 no. 8
Type: Research Article
ISSN: 0007-070X

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Article
Publication date: 8 August 2024

Wei Suo, Xuxiang Sun, Weiwei Zhang and Xian Yi

The purpose of this study is to establish a novel airfoil icing prediction model using deep learning with geometrical constraints, called geometrical constraints enhancement…

123

Abstract

Purpose

The purpose of this study is to establish a novel airfoil icing prediction model using deep learning with geometrical constraints, called geometrical constraints enhancement neural networks, to improve the prediction accuracy compared to the non-geometrical constraints model.

Design/methodology/approach

The model is developed with flight velocity, ambient temperature, liquid water content, median volumetric diameter and icing time taken as inputs and icing thickness given as outputs. To enhance the icing prediction accuracy, the model involves geometrical constraints into the loss function. Then the model is trained according to icing samples of 2D NACA0012 airfoil acquired by numerical simulation.

Findings

The results show that the involvement of geometrical constraints effectively enhances the prediction accuracy of ice shape, by weakening the appearance of fluctuation features. After training, the airfoil icing prediction model can be used for quickly predicting airfoil icing.

Originality/value

This work involves geometrical constraints in airfoil icing prediction model. The proposed model has reasonable capability in the fast assessment of aircraft icing.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 34 no. 9
Type: Research Article
ISSN: 0961-5539

Keywords

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Article
Publication date: 27 November 2024

Milad Shahvaroughi Farahani, Shiva Babaei, Zahra Sadat Kharazan, Ali Bai, Zahra Rahmati, Ghazal Ghasemi, Fardin Alipour and Hamed Farrokhi-Asl

This paper aims to predict Dogecoin price by using artificial intelligence (AI) methods and comparing the results with the econometrics models.

16

Abstract

Purpose

This paper aims to predict Dogecoin price by using artificial intelligence (AI) methods and comparing the results with the econometrics models.

Design/methodology/approach

An artificial neural network (ANN) was applied as a prediction method without any optimization techniques. Additionally, the genetic algorithm (GA) is used to select the most appropriate input variables. Additionally, based on the literature review and the relationships between crypto-price and global indices, 20 economic indicators, such as Coinbase Bitcoin, Coinbase Litecoin and US dollars, along with main global stock indices such as FTSE100 and NIFTY50, are identified as input variables for the model. Lichtenberg algorithm (LA) and aquila optimization (AO) algorithm are used to make the ANN more robust. To validate our algorithms, they have been implemented on daily data for the last three years. To demonstrate the superiority of the models over traditional methods such as econometrics, regression analysis and curve fitting techniques are used. The effectiveness of these models is then evaluated and compared using criteria such as recall, accuracy and precision.

Findings

The results indicate that AI-based algorithms not only enhance the accuracy, recall and precision of calculations but also expedite the process without requiring the numerous and restrictive assumptions associated with time series and econometric models.

Originality/value

The main contribution of this paper is the application of novel approaches such as AO and LA to improve the predictive capabilities of the ANN method for various cryptocurrencies’ prices. It demonstrates the superiority of the proposed algorithms over traditional econometric models using real-life data.

Details

Journal of Modelling in Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-5664

Keywords

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