Partner Selection in Supply Chain of Vietnam’s Textile and Apparel Industry: The Application of a Hybrid DEA and GM (1,1) Approach

Wang, Chia–Nan; Nguyen, Han-Khanh; Liao, Ruei-Yuan

doi:10.1155/2017/7826840

Cited by 15 publications

(13 citation statements)

References 15 publications

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“…The best productivity is shown by Libya, however this DEA does not show benchmarking values and it is suggested that, to benchmark the countries for the same time period, multistage DEA can be performed. The forecast is calculated by the actual data, and if the errors are in the allowable range, then it will be a reliable and usable model for the study [43]. The forecasted results of this study have a high level of accuracy, as average MAPE of 20 DMUs is 8.21% as in Table 5.…”

Section: Pearson Correlationmentioning

confidence: 79%

Application of Multi-Criteria Decision-Making Model and GM (1,1) Theory for Evaluating Efficiency of FDI on Economic Growth: A Case Study in Developing Countries

Wang

2019

Sustainability

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Foreign direct investment (FDI) and corporate social responsibility (CSR) spending are one of the major factors in improving sustainable economic development of a country. Therefore, this study focuses on the multi criteria application of FDI and sustainability factors (CSR spending) in various developing countries to explore its impact and decision making for sustainable economic growth. The study uses a case study methodology whereby FDI, exchange rate, and CSR expenditure data from 20 countries were used to assess the efficiency in sustainable economic growth. Data were collected from the World Bank for 20 Asian and African developing countries during 2012–2017 and analyzed using GM (1,1), mean absolute percentage error (MAPE), Malmquist productivity index (MPI)-data envelopment analysis (DEA), and the slacks-based measure of efficiency (SBM) model. Correlation analysis is used to find the relationship for FDI, CSR, exchange rate, gross domestic product (GDP), and GDP per capita (GDPPC). The results of the Malmquist productivity index and the frontier effect clearly highlight that a few countries have witnessed a great improvement in terms of productivity and technological progression. Therefore, the decision makers must adopt the model of those countries with respect to sustainable development of the nation. This study helps developing nations as well as researchers to benchmark efficient countries and follow their strategies to develop a new one for utilizing FDI and CSR spending in sustainable economic development. The study also helps policy makers in multi criterion application of FDI and CSR for decision making in economic development.

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Section: Pearson Correlationmentioning

confidence: 79%

Application of Multi-Criteria Decision-Making Model and GM (1,1) Theory for Evaluating Efficiency of FDI on Economic Growth: A Case Study in Developing Countries

Wang

2019

Sustainability

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“…These studies have yielded good results and high applicability. Among them, Chia-Nan Wang, Han-Khanh Nguyen, and Ruei-Yuan Liao [7] combined the Grey model and DEA model to find a strategic partner in the supply chain of the textile and garment industry in Vietnam. In 2011, Jia-Jane Shuai and Wei-Wen Wu [8] used the DEA model and Grey model to evaluate marketing effectiveness through the website of hotels in Taiwan.…”

Section: Related Researchmentioning

confidence: 99%

“…Through the Website of the General Statistics Office, the authors compiled 17 contractors to satisfy the conditions of this study ( Table 2). Coteccons construction joint stock company I 5 Hoa Binh construction group joint stock company I 6 Binhduong trade and development joint stock company I 7 Development investment construction Hoi An joint stock company I 8 Licogi 14 joint stock company I 9 Tien Giang investment and construction joint stock company I 10…”

Section: Contractors Collectionmentioning

confidence: 99%

Application of Optimization to Select Contractors to Develop Strategies and Policies for the Development of Transport Infrastructure

Wang

Nguyen³

2019

Mathematics

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Many factors influence the efficiency and quality of transport works. In particular, consultants and construction contractors of these works play important roles, and critical factors directly affect the quality of traffic works. If the quality of consultancy and construction is good, the project will reduce the total investment; if the contractor is good, the completion time of the new project is guaranteed, thus reducing construction costs. The longer the construction time is, the higher the cost of the project. In this study, the authors used optimal algorithms to evaluate past, present, and future contractors’ technical, technological, and performance effectiveness. Research results show that bidders are divided into three groups: highly effective bidders, stable contractors, and inefficient groups. Research results for this subject will help the government, regulatory agencies, and investors select good contractors as the basis for developing strategies and policies for the development of transport infrastructure.

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“…e T&C sector in Pakistan is one of the most prominent manufacturing industries that assume a central part in the country's economy as it offers employment to 30% of the country's total workforce, adds 8.5% to GDP, and continues to be the lifeblood for the country's exports at 52% of the total trade [6,7]. Pakistan is amongst the main textiles producing regions of the world, as quoted by Wang et al [8].…”

Section: Introductionmentioning

confidence: 99%

Quantifying the Consequences of Perceived Stress in the Textile and Clothing Sector through Structural Equation Modelling

Ahmad¹,

Hussain

Mahmood

et al. 2021

Mathematical Problems in Engineering

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The textile and clothing (T&C) sector plays an important role in the growth and industrial development of emerging economies. Work stress is a real concern for organizations with no immunity for the T&C sector. It hampers individual as well as organizational work performance that ultimately places a significant hurdle in achieving competitiveness in the market. This study aims at exploring the antecedents and consequences of work stress and how different causes of stress influence perceived stress among the employees of the textile and clothing organizations in Pakistan. Data were collected from 1470 employees of 24 organizations. Cohen’s Perceived Stress Scale-10 (PSS-10) and two researcher-developed instruments (34 items and 22 items each) were used for the data collection. Information gathered was analyzed by PLS-SEM (partial least squares structural equation modelling) technique. Statistically significant results were found for the antecedents, namely, work-family conflict, role clarity, work characteristics, social working environment, managers’ support at work, and training and career development, with work-family conflict as the most significant, and for the consequences, namely, psychological, emotional, physical, performance, and behavioral with psychological effect as the most significant. The findings of the study could help managers, designers, planners, and ergonomists in making more informed and proactive decisions while attempting to prevent or control the stress phenomenon in the T&C sector. Moreover, the study highlights the need for gaining more in-depth insight into the work-stress phenomenon proactively so that the effectiveness of intervention strategies might be assured.

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Partner Selection in Supply Chain of Vietnam’s Textile and Apparel Industry: The Application of a Hybrid DEA and GM (1,1) Approach

Cited by 15 publications

References 15 publications

Application of Multi-Criteria Decision-Making Model and GM (1,1) Theory for Evaluating Efficiency of FDI on Economic Growth: A Case Study in Developing Countries

Application of Multi-Criteria Decision-Making Model and GM (1,1) Theory for Evaluating Efficiency of FDI on Economic Growth: A Case Study in Developing Countries

Application of Optimization to Select Contractors to Develop Strategies and Policies for the Development of Transport Infrastructure

Quantifying the Consequences of Perceived Stress in the Textile and Clothing Sector through Structural Equation Modelling

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