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Available. Open Access. Open Access
Article
Publication date: 13 September 2023

Raouf Boucekkine, Carmen Camacho, Weihua Ruan and Benteng Zou

The authors characterize the conditions under which a country may eventually split and when it splits within an infinite horizon multi-stage differential game.

326

Abstract

Purpose

The authors characterize the conditions under which a country may eventually split and when it splits within an infinite horizon multi-stage differential game.

Design/methodology/approach

In contrast to the existing literature, the authors do not assume that after splitting, players will adopt Markovian strategies. Instead, the authors assume that while the splitting country plays Markovian, the remaining coalition remains committed to the collective control of pollution and plays open-loop.

Findings

Within a full linear-quadratic model, the authors characterize the optimal strategies. The authors later compare with the outcomes of the case where the splitting country and the remaining coalition play both Markovian. The authors highlight several interesting results in terms of the implications for long-term pollution levels and the duration of coalitions under heterogenous strategies as compared to Markovian behavior.

Originality/value

In this paper, the authors have illustrated the richness of the simplications of enlarging the set of strategies in terms of the emergence of coalitions, their duration and the implied welfare levels per player. Varying only three parameters (the technological gap, pollution damage and coalition payoff share distribution across players), the authors have been able to generate, among other findings, quite different rankings of welfare per player depending on whether the remaining coalitions after split play Markovian or stay precommited to the pre-splitting period decisions.

Details

Fulbright Review of Economics and Policy, vol. 3 no. 2
Type: Research Article
ISSN: 2635-0173

Keywords

Available. Open Access. Open Access
Article
Publication date: 6 December 2023

Binh Tran-Nam, Cuong Le-Van, Van Pham-Hoang and Thai-Ha Le

462

Abstract

Details

Fulbright Review of Economics and Policy, vol. 3 no. 2
Type: Research Article
ISSN: 2635-0173

Available. Content available
Article
Publication date: 17 August 2012

415

Abstract

Details

Grey Systems: Theory and Application, vol. 2 no. 2
Type: Research Article
ISSN: 2043-9377

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Article
Publication date: 23 May 2022

Weihua Liu, Yanjie Liang, Ming K. Lim, Shangsong Long and Xiaoran Shi

This study explores the influencing factors of smart supply chain innovation (SSCI) for going global companies and designs a theoretical framework.

728

Abstract

Purpose

This study explores the influencing factors of smart supply chain innovation (SSCI) for going global companies and designs a theoretical framework.

Design/methodology/approach

This paper is a multi-case study that includes a combination of exploratory and explanatory case studies.

Findings

First, the authors find that SSCI is embodied in product development and supply chain empowerment, which represent exploitative innovation and explorative innovation, respectively. Meanwhile, supply chain empowerment has a positive impact on product development. Second, the going global policy affects the transformation of supply chain empowerment to SSCI practices. Third, in terms of exploitative innovation, personalized demand positively affects SSCI through product development. Finally, explorative innovation, including emerging technology application and supply chain ecologicalization, has a positive effect on supply chain empowerment and thereby affects SSCI.

Originality/value

Supply chain innovation in the context of a smart economy has gained great popularity. This study sheds light on the influencing factors and mechanisms of SSCI from the exploitative and explorative aspects of innovations.

Details

The International Journal of Logistics Management, vol. 33 no. 3
Type: Research Article
ISSN: 0957-4093

Keywords

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Article
Publication date: 21 July 2022

Chaolun Yuan, Weihua Liu, Gang Zhou, Xiaoran Shi, Shangsong Long, Zhixuan Chen and Xiaoyu Yan

This study aims to empirically examine the effect of supply chain innovation (SCI) announcements on shareholder value within the context of Industry 4.0 and Industry 5.0.

1145

Abstract

Purpose

This study aims to empirically examine the effect of supply chain innovation (SCI) announcements on shareholder value within the context of Industry 4.0 and Industry 5.0.

Design/methodology/approach

This study uses an event study method to examine the effect of SCI announcements on shareholder value of the 156 listed companies in China.

Findings

First, SCI announcements have a positive effect on shareholder value. Second, SCI with an integrated form more positively affects shareholder value than SCI with an independent form. SCI at the strategy level more positively affects shareholder value than SCI at the operation level. Technology-type SCI more positively affects shareholder value than process-type SCI. Third, this study finds that investors pay more attention to the SCI of companies in the service industry than that of in the manufacturing industry. Finally, the post-hoc analysis finds that digital SCI more positively affects shareholder value than intelligent SCI.

Originality/value

First, most scholars use questionnaire data rather than second-hand data to conduct empirical research to explore the impact of SCI on performance. Second, although scholars focus on performance comprehensively, including operational, financial, relational and environmental performance, no scholars use an event study to explore the impact of SCI on the stock market. Third, no scholars have explored the differential impact of SCI in different industries. Forth, few scholars have classified SCI according to the characteristics to explore the differential impact of SCI. Finally, the differences between SCI of Industry 4.0 and SCI of Industry 5.0 have been described, but no scholars have used empirical research to explore the differences.

Details

Industrial Management & Data Systems, vol. 122 no. 8
Type: Research Article
ISSN: 0263-5577

Keywords

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Article
Publication date: 8 November 2019

Yau-Ren Shiau and Hui-Min Chang

The framework of Six Sigma Define-Measure-Analyze-Improve-Control was applied in this study, and various tools and techniques were used at different stages to implement lean…

217

Abstract

Purpose

The framework of Six Sigma Define-Measure-Analyze-Improve-Control was applied in this study, and various tools and techniques were used at different stages to implement lean measures to ensure quality. The purpose of this paper is to develop a decision-making framework that assesses key quality performance to ensure that practitioners improve quality and control by modeling and optimizing production processes.

Design/methodology/approach

A model of a quality performance index system was established. The weights of factors and sub-factors, which were estimated using an FAHP, were used as a reference for the decision maker under fuzzy uncertainly to make a decision, and thus, results present the bottlenecks in processes. Furthermore, any other factors that may affect the key process bottlenecks must be considered. The critical to quality characteristics were determined, and factor levels were set. The interaction between the factors was analyzed, their significance was studied using the Design of experiments and the parameters were predicted. Finally, quality improvement decisions were made through failure mode and effects analysis.

Findings

The implementation results of this research prove that the proposed model could successfully determine the key processes and focus on the improvement of critical quality factors under limited resources.

Originality/value

This study establishes a set of performance appraisal methods for production systems, which can be used for improving productivity and quality.

Details

The TQM Journal, vol. 32 no. 1
Type: Research Article
ISSN: 1754-2731

Keywords

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