• Journal of Information Technology Services
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• v.8 no.4
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• pp.115-128
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• 2009

In today's changing environment where the product life-cycle is becoming shorter, enterprises are forced to introduce new products as rapidly as possible and to score a success in a market. It is important to manage suppliers who supply parts of the new products to satisfy variable demands. We suggest performance measures of flexibility for suppliers in new products environments. We analyzed the measures from literatures, SCOR (Supply Chain Operations Reference) model and several scorecards. A simulation study was made with the measures in order to understand adaptability of a supply chain. It could help a manufacturer make a decision of purchasing and find a bottleneck supplier.

• Management & Information Systems Review
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• v.33 no.1
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• pp.237-261
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• 2014

This study is to investigate the impact of information technology implementation on supply chain risk and performance. It focuses on how information technology adoption affects supply risk as well as performance. It collected one hundred fifty nine responses from supply executives and supply and purchasing managers of U.S manufacturing firms by applying a survey methodology. The research results provide empirical evidence that the use of information technology in the supply chain mitigates supply risk and improves performance. More importantly, information technology adoption involves three aspects: inbound and outbound communications, internal communications and administration and finally, mitigation of supply risks and improved performance via order taking and procurement. This research emphasizes the importance of IT implementation in supply risk management. It also points out how information technology adoption facilitates the impact of information technology in risk mitigation in the supply chain and in performance. Thus, supply and purchasing managers need to consider IT implementation and adoption when establishing their risk mitigating strategies within the supply chains.

• Journal of Navigation and Port Research
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• v.30 no.2
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• pp.151-159
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• 2006

This study intends to surveyrequirements for port and logistics supply chain management with RFID {Radio Frequency IDentification)technology. Port and logistics supply chain management has become a critical issue due to the necessity of efficiency, visibility, trace-ability, etc. Since the introduction of RFID technology, its performance, reliability, validity, and safety have been a concern in most industries. Particularly, in port and logistics supply chain management, RFID has the potential to track the movement of containers and to provide in-transit visibility toward customers. In thispaper we consider some critical issues related to port and logistics supply chain management, which previously adopted RFID technology. In order to successfully design and adopt RFID technology and utilize it as optimally as is possible in the port and logistics industry, it is necessary to understand the potential of shipping companies and their requirements in adopting RFID technology in port and logistics.

• Journal of Distribution Science
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• v.21 no.1
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• pp.53-63
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• 2023

Purpose: Big Data analytics (BDA) has been recognized to improve firm performance because it can efficiently manage and process large-scale, wide variety, and complex data structures. This study examines the determinants of Big Data analytics adoption toward marketing and financial performance of global logistic companies in Thailand. The research framework is adopted from the technology-organization-environment (TOE) model, including technological factors (relative advantages), organizational factors (technological infrastructure and absorptive capability), environmental factors (industry competition and government support), Big Data analytics adoption, marketing performance, and financial performance. Research design, data, and methodology: A quantitative method is applied by distributing the survey to 450 employees at the manager's level and above. The sampling methods include judgmental, stratified random, and convenience sampling. The data were analyzed by Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM). Results: The results showed that all factors significantly influence Big Data analytics adoption, except technological infrastructure. In addition, Big Data analytics adoption significantly influences marketing and financial performance. Conversely, marketing performance has no significant influence on financial performance. Conclusions: The findings of this study can contribute to the strategic improvement of firm performance through Big Data analytics adoption in the logistics, distribution, and supply chain industries.

• JSTS:Journal of Semiconductor Technology and Science
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• v.11 no.4
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• pp.309-317
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• 2011

This paper describes a baseband analog (BBA) chain for wireless local area network (WLAN) applications. For the given specifications of the receiver BBA chain, the optimum allocation of the gain and filter rejection of each block in a BBA chain is achieved to maximize the SFDR. The fully integrated BBA chain is fabricated in 0.13 ${\mu}m$ CMOS technology. An input-referred third-order intercept point (IIP3) of 22.9 dBm at a gain of 0.5 dB and an input-referred noise voltage (IRN) of 32.2 nV/${\surd}$Hz at a gain of 63.3 dB are obtained. By optimizing the allocation of the gain and filter rejection using the proposed design methodology, an excellent SFDR performance of 63.9 dB is achieved with a power consumption of 12 mW.

• Journal of Fashion Business
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• v.9 no.4
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• pp.44-58
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• 2005

In a global market environment with information technology, the textile and apparel industry tries to survive by having competitive power embedded in Supply Chain Management to improve the interrelation among different stages of industries such as fiber, textile, apparel manufacturing, and retailing. The purpose of this empirical study was to investigate performance on Supply Chain Management of textile firms such as 4 textile export firms and 10 collaborate firms which were adopted SCM system. For research methodology, we developed questionnaires based upon interview and literature review. The results of this study were as follows: There were neutral responses or somewhat dissatisfactions on SCM application from CEOs, CMOs, site workers, and collaborators, but over half of respondents indicated 21-40% improvement of affairs. Standard documents and information sharing of SCM system were salient effects. SCM system with standard documents improved receipts/payments and inventory management most.

• Journal of Korea Trade
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• v.27 no.1
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• pp.19-41
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• 2023

Purpose - Conventional supply chains (SCs) must identify facilitating roles, such as port or terminal operators, shipping companies, and freight forwarders in executing the various logistical activities that support the organizational strategies of shippers. Meanwhile, supply chain collaborative practices can engender a willingness to share relevant and mutually helpful information. To this end, this study seeks to identify the impact of supply chain integration (SCI) on information sharing (IS) and the operational performance (OP) of Korea's container-shipping industry from the perspective of social capital. Design/methodology - We established the research model for this study based on previous studies. In administering the survey, we obtained 149 valid responses from employees working in liner-shipping companies and freight forwarders in Korea. With the collected questionnaires, the study's hypotheses were tested using SPSS 26.0 and AMOS 26.0 Findings - The results indicate the existence of a mediated relationship where the impact of SCI on OP is mediated by IS. The effect of external integration (EI) on OP is fully mediated by information quality (IQ) and information-sharing content (ISC). Furthermore, EI, IQ and ISC partially mediate the relationship between internal integration (II) and OP. Originality/value - This study expands SCI contexts, where ISC and IQ respectively serve as bridges between EI and OP which has crucial implications for container-shipping companies in terms of improving their performance.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2002.11a
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• pp.53-61
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• 2002

This paper aims to apply a supply chain modeling and its analysis framework to the supply chain in the port industry, each of which has its own objective. The simulation approach serves two purposes: to model a supply chain network in quantity approach and to evaluate its supply chain performance based on proposed strategies. The simulation model will be applied to quantifying the flow of a supply chain, the involved information and material flow and conducted to simulate the supply chain operations. The model will also be used which strategic and operational policies are the most effective in smoothing the variations in the supply chain.

• Advanced Industrial SCIence
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• v.2 no.2
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• pp.1-8
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• 2023

The goal of the study is to describe blockchain technology as it relates to enhancing supply chains in the retail sector in order to achieve sustainability. This study offers a critical analysis of the possible applications of blockchain technology and smart contracts to supply chain management. This paper explains how Blockchain technology may be used by customers and merchants in a variety of retail business operations to great advantage. By adopting a modified version of the UTUAT model, this study validates the possibility of using blockchain for supply chain management in the retail industry. The study found a significant and positive correlation between behavioral intention and acceptance toward employing block networks in supply chain management in the retail business. The behavior intention (BI) to adopt blockchain technology is significantly influenced by performance expectations, effect expectations, subjective standards, and enabling variables. The performance and effort expectations have a considerable impact on the BI to adopt blockchain in supply chain management.

• Industrial Engineering and Management Systems
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• v.13 no.1
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• pp.15-28
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• 2014

Evaluation of the implementation and performance of a firm's green supply chain management (GSCM) is an ongoing process. Balanced scorecard is a multi-criteria evaluation concept that highlights implementation and performance measures. The literature on the framework is abundant literature but scarce on how to build a hierarchical framework under uncertainty with dependence relations. Hence, this study proposes a hybrid approach, which includes applied interpretive structural modeling to build a hierarchical structure and uses the analytic network process to analyze the dependence relations. Additionally, this study applies the fuzzy set theory to determine linguistic preferences. Twenty dependence criteria are evaluated for a GSCM implemented firm in Taiwan. The result shows that the financial aspect and life cycle assessment are the most important performance and weighted criteria.