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Multi-phase structure electrospun CNF@Ag/Mn/Bi/Fe composite nanofiber enhanced supercapacitor behavior
(2025-02-15)
Sinprachim, Tanayt
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Klompong, Narit
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Chanlek, Narong
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Kidkhunthod, Pinit
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Maensiri, Santi
This study presents the development of carbon-based multiphase metal oxide nanocomposites (CNF@MO<inf>x</inf>; M = Ag, Mn, Bi, and Fe) incorporating silver, manganese, bismuth, and iron nanoparticles within polyacrylonitrile (PAN)-derived carbon nanofibers. These nanocomposites were fabricated via the electrospinning technique with metal oxide concentrations of 10, 20, and 40 %w. This was followed by annealing in an argon atmosphere. The resulting nanofibers exhibited diameters ranging from 559 to 830 nm, with embedded nanoparticles measuring from 9 to 21 nm. Comprehensive characterization revealed that the nanofibers possessed uniform morphology, high porosity, and robust thermal stability. X-ray photoelectron spectroscopy (XPS) and X-ray absorption spectroscopy (XAS) confirmed the valence states of the metal oxides (Ag⁰, Bi³⁺, Mn²⁺, Mn³⁺, Fe²⁺, and Fe³⁺), which are integral to redox reactions and charge storage mechanisms. Among the fabricated composites, CNF@Ag/Mn/Bi/Fe-20 demonstrated the best electrochemical performance, achieving a specific capacitance of 156 F g<sup>−1</sup> at a scan rate of 2 mV s<sup>−1</sup> and outstanding cycling stability with a capacity retention of over 96 % after 1400 charge-discharge cycles. The synergistic combination of double-layer capacitance and pseudocapacitance mechanisms in these nanofibers represents a significant improvement over conventional electrode material. This study highlights CNF@Ag/Mn/Bi/Fe nanocomposites as highly promising candidates for advanced energy storage applications, particularly in supercapacitor technologies.
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The Mediating Role of Green Supply Chain and Supply Chain Collaborative Innovation
(2024-01-01)
Pintuma, Sittichai
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Moryadee, Chanicha
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Chamsuk, Wawmayura
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Phochanikorn, Patchara
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Shaharudin, Mohd Rizaimy
Manufacturers and consumers have become increasingly aware of the environmental impact of manufacturing and consumption. However, most businesses lack the commitment to adopt sustainable practices and transform themselves into a green business. This study aims to examine the factors that can influence sustainable supply chains within the plastic packaging industry of Thailand and formulate effective sustainable supply chain strategies. This research adopts a quantitative approach and examines 220 business operators in the Thai plastic packaging industry. Data are collected with a questionnaire and analysed using a structural equation model.Findings indicate that latent factors such as stakeholder-driven initiatives, green supply chain practices and supply chain collaborative innovation have a significant positive impact on sustainable supply chain management. In addition, the innovative use of renewable resources within the supply chain can facilitate the transformative shift in business operations and integration of economic and environmental activities to establish a sustainable industry network. The results can serve as valuable guidelines for entrepreneurs for facilitating product development, multichannel distribution, cost reductions, time efficiency and revenue growth. Future research should conduct cross-industry comparisons to analyse demand for and emphasis on green product manufacturing and explore variations in consumers'attitudes towards eco-friendly products and entrepreneurs'attitudes towards the plastic manufacturing industry.
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An Analysis of how Customer Value, Service Innovation, and Brand Image Influence Chinese Online Travel Agency Customer Satisfaction and Loyalty
(2024-01-01)
Sun, Lei
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Chamsuk, Wawmayura
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Saengnoree, Amnuay
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Sornsaruht, Puris
This study examines the relationships between customer value (CV), service innovation (SI), OTA brand image (IM), e-customer satisfaction (ECS), and e-customer loyalty (ECL) in the online travel industry. From February to March 2023, the authors collected and analyzed opinions from 361 Chinese online travel agency (OTA) users via confirmatory factor analysis (CFA) and partial least squares structural equation modeling (PLS-SEM) with AMOS Version 22. SPSS for Windows Version 24 was employed for descriptive statistics. The analysis revealed positive direct effects of CV (0.45), SI (0.60), and IM (0.35) on ECS, highlighting their importance in shaping customer satisfaction. ECS also had a strong direct effect on ECL (0.75), emphasizing its role in driving loyalty. Additionally, CV and IM had indirect impacts on the ECL through the ECS (0.34 and 0.26, respectively). The model explains 82% of the variance in ECS and 89% in ECL. These findings offer strategic insights for OTAs, stressing the importance of enhancing CV, SI, and IM to improve ECS and ECL. The study discusses theoretical and practical implications, highlighting the importance of a customer-centric approach in the online travel industry.
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Impacts of collaboration networks, operational performance and reverse logistics determinants on the performance outcomes of the auto parts industry
(2019-01-01)
Phoosawad, Phasit
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Fongsuwan, Wanno
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Chamsuk, Wawmayura
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Takala, Josu
The objectives of this study were to develop a framework of the collaboration network, operational performance, and reverse logistics determinants on the performance outcomes of the auto parts industry, and to study the direct, indirect, and overall effects of the factors that influence the performance outcomes of the auto parts industry. This quantitative research utilized a questionnaire as the tool for data collection, which was completed by the managers in the auto parts industry from 320 companies. According to the analysis with the Structural Equation Modeling (SEM), it was found that the collaboration networks, operational performance, and reverse logistics positively affect the performance outcomes; whereas, the collaboration networks mainly affect the development of organizations by causing performance outcomes to continue growing unceasingly, including the enhancement of sustainable competitive capacity and the operational results of the auto parts industry.
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The Effects of R&D and Innovation Capabilities on the Thai Automotive Industry Part's Competitive Advantage: A SEM Approach
(2017-03-01)
Chamsuk, Wawmayura
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Fongsuwan, Wanno
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Takala, Josu
A structural equation model was used to verify both the direct and indirect influences on research and development and innovation capabilities that affect Thai automotive parts enterprises competitive advantage. Thailand's automotive sector is a major driver of the economy with a multi-thousand network of both domestic and international companies contributing a significant amount to both domestic and Asian economic growth. After peaking in 2013 and reaching the Top 10 automotive nations, there has been a slide backwards. Competition is fierce and the pace of change ever quickening. Therefore, the researchers sought to determine how the automotive parts sector needed to improve in capability, skills and infrastructure to maintain a sustainable competitive advantage. From the structural equation model analysis of 220 regional automotive parts sector managers and use of AMOS software, it was determined that research and development combined with innovation plays key roles in the industry's profitability and survivability. Additionally, there must be support across a wide sector of the economy, including universities, government agencies and institutions. Once championed as the 'Detroit of Asia', Thailand's recognized success as a global automotive hub is a classic case of a well-executed industrial plan but that lead can potentially slip away without embracing new technologies and innovative thinking.
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A structural equation model of factors that affect the ASEAN competitive advantage of the Thai automotive parts industry
(2015-01-01)
Chamsuk, Wawmayura
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Phimonsathien, T.
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Fongsuwan, Wanno
Thailand is considered the heart of Asia and a gateway to the most densely-populated countries in the world included China and India. Thailand is also part of the 600 million people ASEAN Economic Community which is considered the ninth largest global economy representing $2 trillion USD. Under this community's free trade framework with a projected average output increase of 10% annually, Thailand's 'Detroit of Asia' is a crucial component of any future growth. As such, the researchers have therefore developed a structural equation model of influences on research and development (R and D) and technological capabilities affecting the competitive advantage of the Thai automotive parts industry. This sector in 2013 was the 3rd largest part of the economy contributing 12% of GDP. This study clearly shows that in developing countries technology plays a key role in competitive advantage and even more so to Thailand which faces intense competition from both regional and other global players. Therefore, it is crucial that organizations focus on innovative research and development capabilities which need to collaborate, support, fund and incentivize players, both domestic and foreign, to upgrade Thailand's innovative capacity and fill in gaps in its cluster environment going forward. Thailand's recognized success as a global automotive hub is a classic case of a well-executed industrial plan but it must not rest on its laurels and continue moving forward with innovation combined with R and D capability.

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