Assessing a cross-border logistics policy using a performance measurement system framework: the case of Hong Kong and the Pearl River Delta region

Wong, David W.C.; Choy, Kwang‐Leong; Chow, Harry K. H.; Lin, Canhong

doi:10.1080/00207721.2012.761468

Cited by 11 publications

(6 citation statements)

References 28 publications

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“…Alexis et al (2010) performed the measurement of logistics performance of the autonomous port of Cotonou in Berlin. Wong et al (2014) assessed a cross-border logistics policy using a performance-measurement-system framework in Hong Kong and the Pearl River Delta region. Li (2011) studied the effective management of the cost and the time of logistics quick response.…”

Section: Literature Reviewmentioning

confidence: 99%

An Empirical Analysis Оn Logistics Performance and the Global Competitiveness

Yildiz

2017

Business: Theory and Practice

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expectations of their customers (Lai and Cheng 2009). For this purpose, many of them have found the logistics as the area for reducing the costs and improving services efficiency (Lai and Cheng 2009).The current research was undertaken to address the issue of how logistics performances and global competitiveness relate to each other. Are there any significant relationships between logistics performance score and global competitiveness? Which pillars of global competitiveness highly correlate with the logistics performances? Based on the income levels of group of countries, are there any significant changes in the mean values of global competitiveness over the seven-year period? Which pillars of global competitiveness are showing significant differences?The remainder of this paper is organized as follows. Section 1 reviews the literature on logistics. Section 2 introduces the data and methods used for the analyses by using various measures drawn from the World Bank (2016) Abstract. Logistics has been identified as an area to build cost and service advantages. Therefore, companies are more focused on customer needs and trying to find ways to reduce costs, improve quality and meet the growing expectations of their clients. Indeed, the global competition has led managers to begin to address the issue of providing more efficient logistics services. In this regard, this paper presents an empirical study on logistics performance and global competitiveness. This paper also identifies the associations between logistics performances and global competitiveness. The results indicate that some variables in global competitiveness scores contribute much higher to the logistics performances than the other variables through analysis. The variables that contribute much higher than the other variables to the logistics performances are shown.

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Section: Literature Reviewmentioning

confidence: 99%

An Empirical Analysis Оn Logistics Performance and the Global Competitiveness

Yildiz

2017

Business: Theory and Practice

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“…The description of competitiveness is difficult for researchers, because organizations have many and often overlapping targets [12][13][14][15][16][17]. Some of these may include: Quality [13], Vendor performance [14], Productivity [15], Efficiency [16], Competitive position [18], Operating performance [19], Distribution effectiveness [20,21], Raw financial statistics (e.g., net income, gross sales), Cost statistics (e.g., transport cost, standard labor costs), firm evaluation [22], waste management [23], and input/output measures or performance criteria (e.g., number of shipments/vehicle hour) [12], etc.…”

Section: Logistics Competitiveness Evaluationmentioning

confidence: 99%

Logistics competitiveness of OECD countries using an improved TODIM method

Özmen

2019

Sādhanā

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The Organization for Economic Cooperation and Development (OECD) provides a forum where governments can work together to increase the global welfare and to seek solutions to common problems through economic growth, where logistics plays an important role and contributes to financial stability. Evaluation of the logistics competitiveness of countries is a technical decision-making issue involving a variety of criteria. Most importantly, these criteria usually conflict with each other and they often act and react upon one another. As in logistics competitiveness as well as in many decision-making problems, the relationships among criteria are interdependent. Moreover, different dimensions and criteria weights also affect the evaluation results. By considering these situations, in order to handle these criteria interactions, Mahalanobis distance (MD) based TODIM (an acronym in Portuguese for Interactive and Multicriteria Decision Making) method has been developed and it has been applied to evaluate the logistics competitiveness of the OECD countries. Evaluation of the correlation between criteria develops the consideration outcomes (regarding sorting) to a certain degree with the traditional TODIM method.

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“…The quality of the operation of the environment logistics [ 7 ]. In 2014, Wong et al [ 8 ] took the Pearl River Delta region of China as the research object and proposed the importance of bonded warehouses for cross-border logistics. On this basis, a PMS performance evaluation framework is proposed.…”

Section: Introductionmentioning

confidence: 99%

“…The PMS framework includes four dimensions: time, cost, quality, and flexibility. Research shows that the PMS framework can help enterprises to improve competitiveness and resource allocation efficiency [ 8 ]. In 2016, Ai et al [ 9 ] studied for the performance evaluation of cross-border logistics, a corresponding performance evaluation model is constructed using the two-sided market theory.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Prediction of Cross-Border e-Commerce Scale of China Based on the Machine Learning Model

Chen

2022

Computational Intelligence and Neuroscience

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In the context of the rapid development of Internet technology, the integration of the world economy has been strengthened, and the continuous innovation of technology and foreign trade business forms has promoted the rapid development of cross-border e-commerce. Due to the lack of relevant data on cross-border logistics empirical research, this paper conducts a prediction study on the scale of China’s cross-border e-commerce market based on machine learning models and combines the relevant financial reports of listed companies to determine the proportion of performance costs to turnover. Forecast of the scale of cross-border e-commerce in China. Combined with the total economic volume, industrial structure, domestic and foreign trade, online shopping development, people’s life, and express development, the index system is established, and 11 indicators are initially established with reference to the selection principle of indicators. Combined with the research object, multiple regression and gray prediction methods are established. The relevant prediction model is tested, and the established model is tested to ensure the prediction accuracy. The forecast results show that by 2027, the size of China’s cross-border e-commerce market will reach 30.8133 trillion yuan.

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Assessing a cross-border logistics policy using a performance measurement system framework: the case of Hong Kong and the Pearl River Delta region

Cited by 11 publications

References 28 publications

An Empirical Analysis Оn Logistics Performance and the Global Competitiveness

An Empirical Analysis Оn Logistics Performance and the Global Competitiveness

Logistics competitiveness of OECD countries using an improved TODIM method

Analysis and Prediction of Cross-Border e-Commerce Scale of China Based on the Machine Learning Model

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