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The purpose of this paper is to develop an evaluation model to determine the relative weights of key factors influencing international market development (IMD) success through analysis network process (ANP) during group decision-making. An empirical case of the Taiwan bulk shipping industry is used to illustrate the feasibility of the proposed approach.

The literature review is performed to generate 20 key success factors (KSFs) along with four factor categories in IMD (such as organizational capability, environmental scanning, international strategy and internationalization behavior). Then, ANP is applied to develop an evaluation model that prioritizes the relative importance linking the above four factor categories with 20 evaluated KSFs.

With respect to the final weights for factor categories, “international strategy” and “environmental scanning” are the two most important criteria, followed by “organizational capability” and “internationalization behavior”. The results also showed that by reviewing the global weights of the 20 KSFs of IMD, “service as competitive advantage”, “market potential” and “risk taking” have the highest rankings.

The findings indicate that firm expansion into international markets typically depends on a successful international strategy. Hence, to enhance their global market competitiveness, Taiwan bulk shipping firms should focus their efforts on planning international market entry strategy and prioritizing shipping services with high-potential target markets.

Theoretically, the study results can provide both theoretical basis and empirical evidence, indicating the relative weights and priorities of KSFs of IMD for the Taiwan bulk shipping industry. From the managerial perspective, the analytical results can help managers focus on main factors and identify the best policy to improve their IMD practice and performance.

Population aging was a global trend, and the most obvious thing after aging was the change in skin appearance. Therefore, the active ingredients that delay skin aging were particularly noticed. Past studies had pointed out that Chinese herbal extracts can improve skin elasticity, reduce wrinkles and melanin precipitation. The purpose of this paper is to explore whether combining hydrolyzed collagen with Chinese herbal extracts can improve skin conditions and achieve anti-inflammatory effects.

Fifty subjects were randomly divided into collagen or placebo groups, and one bottle of collagen or placebo drink was used every day for four weeks, after which skin and inflammatory factors were tested.

In comparison with the baseline results, the skin parameters were improving after four-week intervention. In addition, the IL-6, IL-8, TNF-a were significantly decreased and tissue inhibitor matrix metalloproteinase 1 (TIMP-1) was increased after four-week hydrolyzed collagen intervention.

This study showed that hydrolyzed collagen combined with Chinese herbal extracts can improve the condition of the skin, and can also reduce inflammatory associated factors, thereby achieving anti-aging effects.

The purpose of this paper is to achieve one garment with multiple uses, reduce waste and increase the fun of clothing design.

Through the comparison of the structural design of windbreaker with the structural design of suit and other coats, find out the similarities and differences between them in the structure then provide a reliable theoretical basis for the combination and transformation of the two; and then start with the structural theory of men's windbreaker, from the detail structure and the structure. The optimization design of the overall structure, the application of mathematical theory to establish a regular structure design method, so that it can be split through the zipper combination into men's suits or other coats. Finally, from the perspective of technology, the functional transformation from men's windbreaker to men's casual suit and other coats is completed in terms of style, structure and technology.

Through reasonable clothing structure design and invisible zipper layout, one type of clothing can be used as multiple types of clothing.

A new fashion design method is proposed to minimize the waste of fashion design process.

The purpose of this paper is to examine the performance of business processes, operational process efficiency and profitability of enterprise resource planning (ERP) pre‐ and post‐adoption in the long term. The paper also aims to examine the factors of ERP supplier types and firm size in Taiwan.

The paper measures business process (structure capital value added and operational expense ratio), process efficiency (account receivable turnover and inventory turnover) and profitability (continuing operating income and net profit margin) of pre‐ and post‐adoption ERP. First, the overall samples are tested. Second, ERP performances are compared, classified as large, medium and small. Finally, the ERP performances, classified as international and local supplier, are compared using the Wilcoxon rank test.

The results show that the business process, process efficiency, and profitability increase in the fourth or fifth years. This shows that the benefits of ERP are evident in the long term. Regarding firm size, big firms enhance their business process through process efficiency and financial performance. Medium‐sized firms raise continuing operating income only in the first five years. Small firms show no improvement. The results show that the business process, relating to process efficiency and profitability, demonstrates significant improvements in implementing international ERP vendors. Adversely, firms using local ERP systems have a diminished outcome in overall performance.

This paper suggests that when companies plan to adopt an ERP system, large firms possess more advantages than medium‐sized or small firms and international ERP vendors are preferable to local systems.

Previous research has rarely compared the results of process reengineering after ERP system implementation. This paper offers insight into ERP adopters in the electronics industry.

Automatic optical inspection (AOI) systems have been widely used in many fields to evaluate the qualities of products at the end of the production line. The purpose of this paper is to propose a local-to-global ensemble learning method for the AOI system based on to inspect integrated circuit (IC) solder joints defects.

In the proposed method, the locally statistically modeling stage and the globally ensemble learning stage are involved to tackle the inspection problem. At the former stage, the improved visual background extraction–based algorithm is used for locally statistically modeling to grasp tiny appearance differences between the IC solder joints to achieve potential defect images for the subsequent stage. At the latter stage, mean unqualified probability is introduced based on a novel ensemble learning, in which an adaptive weighted strategy is proposed for revealing different contributions of the base classifier to the inspection performance.

Experimental results demonstrate that the proposed method achieves better inspection performance with an acceptable inspection time compared with some state-of-the-art methods.

The approach is a promising method for IC solder joint inspection, which can simultaneously grasp the local characteristics of IC solder joints and reveal inherently global relationships between IC solder joints.