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Article
Publication date: 18 June 2024

Jingjing Zhao, Yuan Li, Liang Xie and Jinxiang Liu

This study aims to propose an optimization framework using deep neural networks (DNN) coupled with nondominated sorting genetic algorithm II and technique for order preference by…

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Abstract

Purpose

This study aims to propose an optimization framework using deep neural networks (DNN) coupled with nondominated sorting genetic algorithm II and technique for order preference by similarity to an ideal solution method to improve the tribological properties of camshaft bearing pairs of internal combustion engine.

Design/methodology/approach

A lubrication model based on the theory of elastohydrodynamic lubrication and flexible multibody dynamics was developed for a V6 diesel engine. Setting DNN model as fitness function, the multi-objective optimization genetic algorithm and decision-making method were used to optimize the bearing pair structure with the goal of minimizing the total friction loss and the difference of the average values of minimum oil film thickness.

Findings

The results show that the lubrication state corresponding to the optimized bearing pair structure is elastohydrodynamic lubrication. Compared with the original structure, the optimized structure significantly reduces the total friction loss.

Originality/value

The optimized performance and corresponding structural parameters are obtained, and the optimization results were verified through multibody dynamics simulation.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-12-2023-0417/

Details

Industrial Lubrication and Tribology, vol. 76 no. 5
Type: Research Article
ISSN: 0036-8792

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Article
Publication date: 26 October 2018

Lingcheng Kong, Ling Liang, Jianhong Xu, Weisi Zhang and Weijun Zhu

Although the wind power industry has been booming in China during the last decade, the development of wind turbine aftermarket service is still lagging behind, which seriously…

590

Abstract

Purpose

Although the wind power industry has been booming in China during the last decade, the development of wind turbine aftermarket service is still lagging behind, which seriously affects the operational efficiency of wind farms. If wind turbine manufacturers get involved in the aftermarket, the service pricing policy will impact the profits of both the manufacturer and the wind farm. Therefore, it is necessary to discuss an optimal service pricing strategy in the wind turbine aftermarket and design a method to improve electricity generation efficiency through service contract design. The paper aims to discuss these issues.

Design/methodology/approach

In order to decide the maintenance quantity and channel effort level, the authors design a normal Stackelberg game and an efficiency value-added revenue-sharing contract and discuss two kinds of revenue increment sharing models under situations, in which the supply chain’s leaders are the wind farm and the wind turbine manufacturer, respectively.

Findings

The results show that in either case, there exist optimal power generation revenue-sharing ratios that can maximize profit. At the same time, the authors outline an optimal service pricing policy, maintenance demand policy and channel service effort-level policy. The results summarize the influences of wind aftermarket services on wind farms’ and wind turbine manufacturers’ profit, which provides managerial insights into the process of manufacturing servitization.

Practical implications

The manufacturer’s channel effort level will influence the power generation increments very much, so the authors have developed a mechanism to stimulate the manufacturer improving the efficiency of aftermarket services.

Originality/value

Taking the power generation increment revenue as the profit increment function, the authors discuss the influence of service price on the profit increment of the wind farm and the wind turbine manufacturer and also consider the influence of service price on the wind farms maintenance quantity and wind turbine manufacturers channel effort level.

Details

Industrial Management & Data Systems, vol. 119 no. 3
Type: Research Article
ISSN: 0263-5577

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Book part
Publication date: 14 March 2022

Wenyan Yin and Hwy-Chang Moon

Given the growing external value chain disruptions, there have been many studies seeking to propose methods for improving the resilience of global value chains (GVCs). This study

Abstract

Given the growing external value chain disruptions, there have been many studies seeking to propose methods for improving the resilience of global value chains (GVCs). This study complements previous studies by proposing the perspective of firm strategy in switching governance modes to improve the resilience of GVCs. Specifically, this study explores under what conditions MNCs are more likely to switch governance toward non-equity mode (NEM) from the alternative ones. This study introduces three industry-specific factors that affect MNCs’ decision for NEM. It then applies this framework to explain how Korean MNCs’ strategic governance change for the co-productions with Chinese firms when entering their film market which is highly restricted by the Chinese government. This study enriches the research on GVC resilience by arguing that MNCs can avoid unfavorable environmental impacts by flexibly changing their GVC governance modes under certain conditions. This study also contributes to the understanding on why some countries maintain their high attractiveness for foreign MNCs, whereas other countries do not, given the similar level of restrictive government regulations. The protectionist policies of the host government are valid only in an industry where the three conditions are met, as they increase the possibility of domestic firms’ participation by encouraging foreign MNCs to shift their entry mode from sole venture toward alliances with domestic firms.

Details

International Business in Times of Crisis: Tribute Volume to Geoffrey Jones
Type: Book
ISBN: 978-1-80262-164-8

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Book part
Publication date: 10 July 2019

Tianxing Wu, Guilin Qi and Cheng Li

With the continuous development of intelligent technologies, knowledge graph, the backbone of artificial intelligence, has attracted much attention from both academic and…

Abstract

With the continuous development of intelligent technologies, knowledge graph, the backbone of artificial intelligence, has attracted much attention from both academic and industrial communities due to its powerful capability of knowledge representation and reasoning. Besides, knowledge graph has been widely applied in different kinds of applications, such as semantic search, question answering, knowledge management, and so on. In recent years, knowledge graph techniques in China are also developing rapidly and different Chinese knowledge graphs have been built to support various applications. Under the background of “One Belt One Road (OBOR)” initiative, cooperating with the countries along OBOR on studying knowledge graph techniques and applications will greatly promote the development of artificial intelligence. At the same time, the accumulated experience of China on developing knowledge graph is also a good reference. Thus, in this chapter, the authors mainly introduce the development of Chinese knowledge graphs and their applications. The authors first describe the background of OBOR, and then introduce the concept of knowledge graph and three typical Chinese knowledge graphs, including Zhishi.me, CN-DBpedia, and XLORE. Finally, the authors demonstrate several applications of Chinese knowledge graphs.

Details

The New Silk Road Leads through the Arab Peninsula: Mastering Global Business and Innovation
Type: Book
ISBN: 978-1-78756-680-4

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Book part
Publication date: 15 June 2018

Elisa Labbas, Padma Rao Sahib and Trang Thu Doan

Many announced cross-border mergers and acquisitions (M&As) are never brought to completion despite potential negative consequences to acquirers and targets. This paper presented…

Abstract

Many announced cross-border mergers and acquisitions (M&As) are never brought to completion despite potential negative consequences to acquirers and targets. This paper presented evidence on the dynamic effects of spatial distance and two industry-level characteristics, namely industry relatedness between the two firms and technological intensity, on the completion likelihood of cross-border M&A deals. Based on a sample of 8,489 M&A transactions we found that the completion likelihood of cross-border M&As increases with spatial distance. The effect is more pronounced for deals across technology-based industries, evidence for related deals is inconclusive.

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Book part
Publication date: 23 November 2017

Desislava Dikova, Ahmad Arslan and Jorma Larimo

We investigate the effect of distance – political, economic, cultural and spatial, on developed-economy multinational enterprises’ (MNEs’) ownership decisions in cross-border (CB…

Abstract

We investigate the effect of distance – political, economic, cultural and spatial, on developed-economy multinational enterprises’ (MNEs’) ownership decisions in cross-border (CB) acquisitions. We start with the premise that distance discourages full and majority ownership in CB acquisitions, and further investigate the moderating role of distance-reducing factors. We examine how the relationship between distance and acquisition ownership decision is moderated by firm-specific characteristics, such as firm size, general international experience, and specific host country experience. Our data sample consists of 1,041 CB acquisitions under taken by Finnish MNEs in 58 countries during the time period 1990–2010. We find substantial support for all our hypotheses and conclude that the negative effects of distance on CB acquisition equity stake are positively moderated by the three firm-specific resources but their individual importance is conditional on the host country type (developed or emerging).

Details

Distance in International Business: Concept, Cost and Value
Type: Book
ISBN: 978-1-78743-718-0

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Article
Publication date: 17 May 2022

Dongzhi Chen and Jian-Wu Bi

This study aims to explore how attribute performance and hosts’ service quality attributes affect room sales on peer-to-peer (P2P) platforms from the cue congruence perspective.

718

Abstract

Purpose

This study aims to explore how attribute performance and hosts’ service quality attributes affect room sales on peer-to-peer (P2P) platforms from the cue congruence perspective.

Design/methodology/approach

More than 9.53 million reviews concerning 258,473 listings located in 35 major cities worldwide were collected from Airbnb. Data was collected from December 2019 to December 2020 and was analysed using a generalised linear model.

Findings

Results show that when attribute performance and hosts’ service quality attributes give positive signals, Airbnb room sales are significantly higher than when the two kinds of cues give inconsistent or negative signals; when attribute performance gives positive signals and hosts’ service quality attributes give negative signals, room sales are higher than when the former gives negative signals and the latter give positive signals; surprisingly, when both kinds of cues give negative signals, room sales are higher than when attribute performance gives positive signals and hosts’ service quality attributes give negative signals.

Research limitations/implications

This paper adds useful insights on understanding of cue congruence (incongruence) effect on room sales of P2P accommodation platforms. This study has practical implications for hosts, online platform managers and guests regarding how to use online strategies and promotions on the Airbnb platform.

Originality/value

This study is an early attempt to explore how the combination of attribute performance and hosts’ service quality attributes affects Airbnb room sales under the conditions of consistency and inconsistency.

Details

International Journal of Contemporary Hospitality Management, vol. 34 no. 10
Type: Research Article
ISSN: 0959-6119

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Article
Publication date: 1 February 2021

Ling Liang, Lin Tian, Jiaping Xie, Jianhong Xu and Weisi Zhang

The car-sharing market has entered the mature stage, and consumers' demand shows a diversified increasing trend. This paper considers two modes of operation and two pricing…

1739

Abstract

Purpose

The car-sharing market has entered the mature stage, and consumers' demand shows a diversified increasing trend. This paper considers two modes of operation and two pricing strategies, which are business-to-consumer and consumer-to-consumer modes, market pricing and platform pricing. Under these conditions, the platform's revenue-sharing ratio will be different. The purpose of this paper is to explore this research question, and seeks an optimal pricing mechanism that can achieve a win–win situation between platform and automobile manufacturer in the two market modes.

Design/methodology/approach

The authors design different profit functions for platform under the two contexts. Of course, the platform's function is constrained to the manufacturer's function. By introducing a revenue-sharing contract a Stackelberg game model dominated by the platform is established and the equilibrium solutions under the two pricing models are derived.

Findings

The study found that even if only market pricing is executed, the scale of the car-sharing market will continue to expand. As the car-sharing market becomes more saturated, platform pricing is better for the automobile manufacturer; in most cases, the platform prefers platform pricing, but when the number of private cars is relatively small, if the cost of car operation and maintenance for the automobile manufacturer is lower or the revenue-sharing ratio of private cars is high, then market pricing will be more favorable to the platform.

Practical implications

With the cross-border integration of car service platforms and the automobile manufacturing industry, the key to achieving win–win cooperation and sustainable development in the car-sharing market will converge on the question of how to design a suitable pricing mechanism and revenue-sharing method.

Originality/value

Authors have determined how a car-sharing platform achieves a win–win order pricing strategy with the manufacturer and private car owners, respectively. And authors combined the supply chain revenue-sharing contract with the car-sharing market to explore the application of the revenue-sharing contract in the sharing economy.

Details

Industrial Management & Data Systems, vol. 121 no. 3
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 10 July 2018

Jiaping Xie, Yu Xia, Ling Liang, Weisi Zhang and Minghong Shi

To promote the development of renewable energy, the Chinese Government adopts the policy of Feed-in Tariff and subsidy. However, the high purchase price and the intermittence…

527

Abstract

Purpose

To promote the development of renewable energy, the Chinese Government adopts the policy of Feed-in Tariff and subsidy. However, the high purchase price and the intermittence limit the development of renewable energy source electricity (RES-E). The purpose of this paper is to discuss the pricing strategy for system operators to stimulate the development of the RES-E industry under the scenario of uncertain supply and demand.

Design/methodology/approach

The authors establish a two-echelon supply chain investment model led by a power grid operator considering the uncertainties in both demand and supply, and study the impact of the power purchase price designed by a system operator using Stackelberg’s model.

Findings

There is an optimal capacity for RES-E generators, that is, independent of the market demand. Besides, the optimal order of grid operators is independent of the uncertain RES-E supply and the purchase price of fossil fuel. By properly setting the purchase prices, the system operator can stimulate the capacity investment in renewable energy. Finally, increasing the punishment in power shortage can stimulate the capacity investment in RES-E under certain conditions.

Practical implications

The result of this paper can mitigate the phenomenon of power abandonment in the RES-E industry and promote the grid integration of RES-E.

Originality/value

Both uncertain demand and supply are considered in this paper. A heuristic algorithm is provided to compute the optimal purchase price combination.

Details

Industrial Management & Data Systems, vol. 118 no. 5
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 14 November 2023

Xiaojiang Zheng and Shixuan Fu

In tourism live streaming (TLS), streamers strive to capture viewers’ attention by responding quickly to viewers’ requests and providing tourism-related knowledge. However, the…

927

Abstract

Purpose

In tourism live streaming (TLS), streamers strive to capture viewers’ attention by responding quickly to viewers’ requests and providing tourism-related knowledge. However, the effectiveness of such practices in the TLS context remains unclear. Accordingly, based on flow theory, this study aims to uncover the effects of responsiveness and knowledge spillover on viewers’ travelling intentions.

Design/methodology/approach

The authors collected 319 valid questionnaires to examine the proposed model. Followingly, the authors used a partial least squares structural equation modelling approach using SmartPLS 4 to analyse the survey data.

Findings

The authors found that responsiveness could enhance viewers’ flow experience and destination attachment, fostering travelling intentions. The authors further found that knowledge spillover strengthened the relationship between responsiveness and travelling intentions and responsiveness and flow experience.

Originality/value

This study broadens the scope of extant tourism research by juxtaposing the effects of responsiveness and knowledge spillover on viewers’ travelling intentions in the TLS context. Practically, the findings provide valuable insights for streamers to conduct appropriate viewer–streamer interaction strategies by providing instant responses and tourism-related knowledge to viewers.

目的

在旅游直播中, 主播常常通过快速响应观众并提供目的地知识, 以吸引观众注意。然而这种策略是否有效地提升了观众的旅游意愿仍需进一步验证。因此, 本研究基于心流理论验证了响应性及知识溢出效应对观众旅游意愿的影响。

设计/方法/途径

我们通过评估319份有效问卷来检验所提出的模型, 采用了SmartPLS软件构建偏最小二乘结构方程模型(PLS-SEM)分析问卷数据。

研究发现

我们发现, 响应性将增强观众的心流体验和目的地依恋感, 从而促进旅游意愿。此外, 知识溢出效应强化了响应性和旅游意愿及响应性和心流体验之间的关系。

原创性/价值

本研究同时关注响应性及知识溢出在旅游直播情境下对观众旅游意愿的影响机制。从实践层面, 本研究为旅游主播提供了高效互动及目的地推广的策略。

Propósito

En las retransmisiones turísticas en directo (TLS), los organizadores se esfuerzan por captar la atención de los espectadores respondiendo de forma rápida a sus peticiones y aportando conocimientos relacionados con el turismo. Sin embargo, la eficacia de estas prácticas en el contexto de la retransmisión turística en directo sigue sin estar clara. Por consiguiente, este estudio, basado en la teoría del flujo, trata de descubrir los efectos de la capacidad de respuesta y la difusión de conocimientos en la intención de viajar de los espectadores.

Diseño/metodología/enfoque

Se recogieron 319 cuestionarios válidos para examinar el modelo propuesto. Seguidamente, se aplicó la técnica de ecuaciones estructurales con mínimos cuadrados parciales (PLS-SEM) mediante el software SmartPLS para analizar los datos de la encuesta.

Resultados

Se concluye que la capacidad de respuesta mejoraría la experiencia de flujo de los espectadores y el apego al destino, fomentando su intención de viajar. Además, se comprueba que la difusión de conocimientos fortalece la relación entre (1) la capacidad de respuesta y la intención de viajar y (2) la capacidad de respuesta y la experiencia de flujo.

Originalidad/valor

La presente investigación amplía el enfoque de los estudios existentes en la investigación turística al aproximar los efectos de la capacidad de respuesta y la difusión de conocimientos sobre la intención de viajar de los espectadores en el contexto de retransmisiones turísticas en directo. Desde el punto de vista práctico, los resultados aportan ideas para que los streamers empleen estrategias de interacción apropiadas con los espectadores, proporcionándoles respuestas instantáneas y transmitiéndoles conocimientos relacionados con el turismo.

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