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Ru-Jen Lin

Researcher at Lunghwa University of Science and Technology

Publications -  10
Citations -  719

Ru-Jen Lin is an academic researcher from Lunghwa University of Science and Technology. The author has contributed to research in topics: Quality (business) & Supply chain. The author has an hindex of 5, co-authored 10 publications receiving 562 citations.

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Market demand, green product innovation, and firm performance: evidence from Vietnam motorcycle industry

TL;DR: In this article, the authors examined how market demand affects green product innovation and firm performance in the context of Vietnamese motorcycle industry and found that market demand is positively correlated with both green-product innovation and the firm performance.
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Benchmarking eco-efficiency in green supply chain practices in uncertainty

TL;DR: In this article, a fuzzy set theory within reference model (known as TODIM) is used to evaluate both qualitative and quantitative data together for green supply chain (GSC) practices, which is useful for identifying the best performing units against which to be benchmarked and for providing actionable measures for improv...
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Close-loop or open hierarchical structures in green supply chain management under uncertainty

TL;DR: The results indicate that the close-loop hierarchical structure more closely resembles existing applications than the open hierarchical structure, which is commonly employed in green supply chain management.
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Evaluating the customer perceptions on in-flight service quality

TL;DR: In this paper, the authors applied fuzzy-grey method based to deal with the vagueness and uncertainty of the in-flight service quality with uncertainty, and the results are as follows, (i) the weights of criteria and alternatives are described in linguistic preferences; (ii) using a grey possibility degree to result the ranking order for all alternatives; and (iii) an empirical example of in flight service quality ranking problem.
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Evaluating the effectiveness of e‐learning system in uncertainty

TL;DR: The results indicated that the fuzzy analytical network process is a simple, suitable, and effective method of identifying the primary measures that influence the effectiveness of e‐learning, specifically in the context of interdependent measures and varying linguistic preferences.