Search results

1 – 10 of over 5000
Article
Publication date: 18 May 2020

Yu Shi and Rebecca Hendrick

The objective of the study is to determine if an over-borrowing bias emerges when the state fiscal base is shared by multiple general-purpose and special-purpose jurisdictions…

Abstract

Purpose

The objective of the study is to determine if an over-borrowing bias emerges when the state fiscal base is shared by multiple general-purpose and special-purpose jurisdictions serving different groups of citizens.

Design/methodology/approach

This study uses panel data from all 50 states in the US from 1997 to 2007 to estimate models of total debt levels of state governments and total debt levels of all local governments aggregated at the state level. For comparison, it also estimates total debt levels of state and local governments taken together for the same years.

Findings

This study finds that jurisdictional overlap will increase state government debt, local government debt, as well as combined state and local government debt.

Originality/value

The finding from the study suggests that the fiscal common-pool model provides a more accurate analysis and more appropriate understanding of the institutional composition at the state and local public sector, especially for the vertical dimension of the local public sector where there are more specialized and overlapping jurisdictions.

Details

Journal of Public Budgeting, Accounting & Financial Management, vol. 32 no. 2
Type: Research Article
ISSN: 1096-3367

Keywords

Case study
Publication date: 30 January 2024

Yong Su and Huaying Yang

In the increasingly competitive leisure food market, Lyfen has become a well-known leisure food brand in Shanghai after long-term independent operation. Insisting on chain retail…

Abstract

In the increasingly competitive leisure food market, Lyfen has become a well-known leisure food brand in Shanghai after long-term independent operation. Insisting on chain retail specializing in various kinds of leisure food, Lyfen captures the consumption habits of consumers, timely launches new products in line with consumers' preferences, and leads the consumption trend. Its main competitors include other leading enterprises in China's leisure food chain industry, such as Three Squirrels, BESTORE and Baiweilin. The company's products are mainly divided into nine categories, totaling more than 900 special products. Some products under Lyfen's name have established good reputation in East China. Regarding business model, Lyfen has devoted its full energy to the construction of brand and channel, and created a unique asset-light model, which mainly involves sourcing and sales two chains.

Details

FUDAN, vol. no.
Type: Case Study
ISSN: 2632-7635

Article
Publication date: 12 April 2024

Xiaodong Yu, Guangqiang Shi, Hui Jiang, Ruichun Dai, Wentao Jia, Xinyi Yang and Weicheng Gao

This paper aims to study the influence of cylindrical texture parameters on the lubrication performance of static and dynamic pressure thrust bearings (hereinafter referred to as…

Abstract

Purpose

This paper aims to study the influence of cylindrical texture parameters on the lubrication performance of static and dynamic pressure thrust bearings (hereinafter referred to as thrust bearings) and to optimize their lubrication performance using multiobjective optimization.

Design/methodology/approach

The influence of texture parameters on the lubrication performance of thrust bearings was studied based on the modified Reynolds equation. The objective functions are predicted through the BP neural network, and the texture parameters were optimized using the improved multiobjective ant lion algorithm (MOALA).

Findings

Compared with smooth surface, the introduction of texture can improve the lubrication properties. Under the optimization of the improved algorithm, when the texture diameter, depth, spacing and number are approximately 0.2 mm, 0.5 mm, 5 mm and 34, respectively, the loading capacity is increased by around 27.7% and the temperature is reduced by around 1.55°C.

Originality/value

This paper studies the effect of texture parameters on the lubrication properties of thrust bearings based on the modified Reynolds equation and performs multiobjective optimization through an improved MOALA.

Details

Industrial Lubrication and Tribology, vol. 76 no. 4
Type: Research Article
ISSN: 0036-8792

Keywords

Book part
Publication date: 15 April 2020

Yubo Tao and Jun Yu

This chapter examines the limit properties of information criteria (such as AIC, BIC, and HQIC) for distinguishing between the unit-root (UR) model and the various kinds of…

Abstract

This chapter examines the limit properties of information criteria (such as AIC, BIC, and HQIC) for distinguishing between the unit-root (UR) model and the various kinds of explosive models. The explosive models include the local-to-unit-root model from the explosive side the mildly explosive (ME) model, and the regular explosive model. Initial conditions with different orders of magnitude are considered. Both the OLS estimator and the indirect inference estimator are studied. It is found that BIC and HQIC, but not AIC, consistently select the UR model when data come from the UR model. When data come from the local-to-unit-root model from the explosive side, both BIC and HQIC select the wrong model with probability approaching 1 while AIC has a positive probability of selecting the right model in the limit. When data come from the regular explosive model or from the ME model in the form of 1 + nα/n with α ∈ (0, 1), all three information criteria consistently select the true model. Indirect inference estimation can increase or decrease the probability for information criteria to select the right model asymptotically relative to OLS, depending on the information criteria and the true model. Simulation results confirm our asymptotic results in finite sample.

Article
Publication date: 17 May 2021

Ziming Zeng, Yu Shi, Lavinia Florentina Pieptea and Junhua Ding

Aspects extracted from the user’s historical records are widely used to define user’s fine-grained preferences for building interpretable recommendation systems. As the aspects…

Abstract

Purpose

Aspects extracted from the user’s historical records are widely used to define user’s fine-grained preferences for building interpretable recommendation systems. As the aspects were extracted from the historical records, the aspects that represent user’s negative preferences cannot be identified because of their absence from the records. However, these latent aspects are also as important as those aspects representing user’s positive preferences for building a recommendation system. This paper aims to identify the user’s positive preferences and negative preferences for building an interpretable recommendation.

Design/methodology/approach

First, high-frequency tags are selected as aspects to describe user preferences in aspect-level. Second, user positive and negative preferences are calculated according to the positive and negative preference model, and the interaction between similar aspects is adopted to address the aspect sparsity problem. Finally, an experiment is designed to evaluate the effectiveness of the model. The code and the experiment data link is: https://github.com/shiyu108/Recommendation-system

Findings

Experimental results show the proposed approach outperformed the state-of-the-art methods in widely used public data sets. These latent aspects are also as important as those aspects representing the user’s positive preferences for building a recommendation system.

Originality/value

This paper provides a new approach that identifies and uses not only users’ positive preferences but also negative preferences, which can capture user preference precisely. Besides, the proposed model provides good interpretability.

Article
Publication date: 12 April 2022

Mengjuan Zha, Changping Hu and Yu Shi

Sentiment lexicon is an essential resource for sentiment analysis of user reviews. By far, there is still a lack of domain sentiment lexicon with large scale and high accuracy for…

Abstract

Purpose

Sentiment lexicon is an essential resource for sentiment analysis of user reviews. By far, there is still a lack of domain sentiment lexicon with large scale and high accuracy for Chinese book reviews. This paper aims to construct a large-scale sentiment lexicon based on the ultrashort reviews of Chinese books.

Design/methodology/approach

First, large-scale ultrashort reviews of Chinese books, whose length is no more than six Chinese characters, are collected and preprocessed as candidate sentiment words. Second, non-sentiment words are filtered out through certain rules, such as part of speech rules, context rules, feature word rules and user behaviour rules. Third, the relative frequency is used to select and judge the polarity of sentiment words. Finally, the performance of the sentiment lexicon is evaluated through experiments.

Findings

This paper proposes a method of sentiment lexicon construction based on ultrashort reviews and successfully builds one for Chinese books with nearly 40,000 words based on the Douban book.

Originality/value

Compared with the idea of constructing a sentiment lexicon based on a small number of reviews, the proposed method can give full play to the advantages of data scale to build a corpus. Moreover, different from the computer segmentation method, this method helps to avoid the problems caused by immature segmentation technology and an imperfect N-gram language model.

Details

The Electronic Library , vol. 40 no. 3
Type: Research Article
ISSN: 0264-0473

Keywords

Article
Publication date: 21 July 2022

Yu Shi and Kuen-Hung Tsai

This study develops a sequential process model to address how to improve firm performance by responding to external stakeholder pressures in service contexts.

Abstract

Purpose

This study develops a sequential process model to address how to improve firm performance by responding to external stakeholder pressures in service contexts.

Design/methodology/approach

The model posits that external stakeholder pressures affect firm performance through organizational learning, green creativity and environmental performance. Data from 219 service firms are utilized to test the hypotheses. A sequential mediation approach is adopted to analyze the model.

Findings

Results reveal (1) organizational learning mediates the effects of government, customer and supplier pressures on firm performance, (2) environmental performance mediates the effect of customer pressure on firm performance, (3) organizational learning and green creativity serially mediate the effects of the three stakeholder pressures on firm performance and (4) the three external stakeholder pressures enhance firm performance through organizational learning, green creativity and environmental performance in a sequential manner.

Originality/value

This study originally contributes to the service literature by providing a sequential process lens to address how to improve performance by responding to external stakeholder pressures.

Details

Journal of Service Theory and Practice, vol. 32 no. 5
Type: Research Article
ISSN: 2055-6225

Keywords

Article
Publication date: 13 September 2022

Zhaoqin Wang, Yu Shi and Xiaorong Wang

This paper aims to investigate the additive manufacturing (AM) approach of a spatial complex curve feature (SCCF, mapped from two-dimensional nonuniform rational B-splines…

Abstract

Purpose

This paper aims to investigate the additive manufacturing (AM) approach of a spatial complex curve feature (SCCF, mapped from two-dimensional nonuniform rational B-splines [2D-NURBS] curve) on a complex surface based on a serial robot using plasma built-up welding, and lays a foundation for plasma AM SCCFs on complex surfaces by combining the NURBS theory with the serial robotic kinematics.

Design/methodology/approach

Combining serial robotic kinematics and NURBS theory, a SCCF mapped from a square-like 2D-NURBS curve is prepared on a predefined complex NURBS surface using serial robotic plasma AM. The interpolation points C (ui) on the square-like 2D-NURBS curve are obtained using the equi-chord length interpolation method, and mapped on a predefined NURBS surface to get mapped points S (ui, vj). The homogeneous transformation matrix T = [n o a S (ui, vj)] of the plasma torch is calculated using the mapped points S (ui, vj) and the designated posture [n o a]. Using the inverse kinematics of the serial robot, the joint vector θ of the serial robot can be computed. After that, the AM programs are generated and transferred into the serial robotic controller and carried out by the serial robot of Motoman-UP6. The 2D-NURBS curve (square-like) is considered as AM trajectory planning curve, while its corresponding SCCF mapped from the 2D-NURBS curve as AM trajectory.

Findings

Simulation and experiments show that the preparation of SCCF (mapped from 2D-NURBS curve) on complex NURBS surface using robotic plasma AM is feasible and effective.

Originality/value

A SCCF mapped from a 2D-NURBS curve is prepared on a complex NURBS surface using the serial robotic plasma AM for the first time. It provides a theoretical and technical basis for plasma AM to produce SCCFs on complex surfaces. With the increasing demand for surface remanufacturing of complex parts, the serial robotic plasma AM of SCCFs on complex NURBS surfaces has a broad application prospect in aero-engine components, high-speed rail power components, nuclear industry components and complex molds.

Details

Industrial Robot: the international journal of robotics research and application, vol. 50 no. 2
Type: Research Article
ISSN: 0143-991X

Keywords

Article
Publication date: 25 April 2022

Zhao-Qin Wang, Yu Shi and Xiao-Rong Wang

The bisection inverse search bow height control interpolation (BIS-BHCI) method for nonuniform rational B-splines (NURBS) curve is proposed to accomplish the serial robotic plasma…

Abstract

Purpose

The bisection inverse search bow height control interpolation (BIS-BHCI) method for nonuniform rational B-splines (NURBS) curve is proposed to accomplish the serial robotic plasma cladding of planar complex curve coating with high precision.

Design/methodology/approach

A plasma–computer integrated cladding system is constructed based on a Motoman-UP6 serial robot and a plasma power. Based on the BIS-BHCI method, combining the serial robotic kinematics with the NURBS curve model, an offline plasma cladding software is developed for Motoman-UP6. Before plasma cladding, a planar NURBS curve coating is designed and defined and its BIS-BHCI is carried out with proper parameters. Then, the cladding programs are generated using the BIS-BHCI results and the robotic kinematics and inputted into the serial robotic controller. After that, the plasma cladding of the planar NURBS curve coating is implemented based on the Motoman-UP6 serial robot.

Findings

The simulation and plasma cladding for the NURBS curve coating shows that the BIS-BHCI method is feasible and effective. Plasma cladding of complex NURBS curve coating based on serial robot is feasible and effective.

Originality/value

The complex NURBS curve coating is prepared based on a serial robot platform for the first time. It provides a theoretical and technical basis for plasma cladding to produce surface coatings of industrial complex parts. With the increasing application of complex parts, the plasma cladding process of complex NURBS curve coatings has a broad application prospect.

Details

Industrial Robot: the international journal of robotics research and application, vol. 49 no. 6
Type: Research Article
ISSN: 0143-991X

Keywords

Article
Publication date: 1 May 2001

Shi Ming Yu and Sun Sheng Han

Rapid development of information technology (IT) has posed constant challenges to business information management. By using a case study, this paper discusses the main components…

3305

Abstract

Rapid development of information technology (IT) has posed constant challenges to business information management. By using a case study, this paper discusses the main components and development of an information system (IS) for public housing management in Singapore. It was found that the IS has evolved around a core of transaction processing system, with value‐adding sub‐systems which reflect the use of the latest IT. The paper not only contributes to the understanding of IS for public housing management, but also to the planning of IS for business management.

Details

Facilities, vol. 19 no. 5/6
Type: Research Article
ISSN: 0263-2772

Keywords

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