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Omni-Channel商業模式研究 – 以美國、台灣服飾業為例

為了解決Dunk low Dcard的問題，作者陶永益 這樣論述：

透過智慧型行動裝置，消費者得以隨時隨地展開其購物流程，實體與虛擬通路之間的界線將逐漸模糊甚至消失，無縫的購物體驗將有助於提升消費者的忠誠度與價值，而受到2020年Covid-19疫情的影響，前往實體通路的可能性大幅降低，許多人轉以數位的方式搜尋、瀏覽、購買商品，疫情後，實體門市再次開放，但隨著人們消費習慣的改變，線上線下都已納入其購物流程當中，全通路的發展速度將大幅提升，因此，全通路對於服飾業者是未來重要的發展趨勢之一。本研究以個案研究法為主，對於美國與台灣的服飾產業之全通路發展與現象進行探討、分析、歸納與統整。本研究結果發現美國與台灣雖然在零售、電子商務的發展上有較相似的歷程，但在全通路的

發展上，美國服飾業者於全通路的策略發展上較為全面且多元，而台灣目前僅位於全通路的起步階段，因此針對全通路發展策略上之差異，本研究對台灣的服飾業者在未來發展的方向上提出實務建議，期望未來台灣服飾產業的全通路發展將更加快速與豐富。

海草床遙測光譜調查、關鍵光譜特徵確認與環境因子影響：以澳洲阿得雷德聖文森灣海草床為例

為了解決Dunk low Dcard的問題，作者黃蓮花 這樣論述：

Seagrasses are a vulnerable and declining coastal habitat, which are crucial to providing shelter and substrata for aquatic microbiota, mollusks, invertebrates, fishes, and sea turtles. More accurate mapping of seagrasses is imperative for their survival as a sustainable natural resource, but is en

cumbered by the lack of data and data processing techniques for reflectance spectra representing the optical signatures of individual species. Moreover, before reflectance spectra could properly be used as remote sensing endmembers, factors that may obscure the detection of reflectance signals must

also be assessed.Objectives of this study are seven-fold: (1) to determine distinguishing characteristics of spectral profiles for sand versus three temperate seagrasses (Posidonia, Amphibolis, and Heterozostera); (2) to evaluate the most efficient derivative analysis method of spectral reflectance

profiles for discriminating between benthic types; and to assess the influences of (3) site location; (4) filtered marine water; (5) epiphytes; (6) natural growing depth; and (7) particular seagrass genera on spectral response signals based on varying degrees of epiphyte presence and natural growing

depth.Results show that the 566:689 and 566:600 bandwidth ratios are useful for differentiating seagrasses from sand and from detritus and algae, respectively. First-derivative deconvolution reflectance spectra, in general, is the most efficient derivative-based method for identifying unique, non-c

ontiguous bandwidths throughout the visible light spectrum, particularly with deconvolution analyses further helping to reveal and isolate 11 key wavelength dimensions (417, 456, 474, 491, 522, 590, 605, 621, 631, 649, and 681 nm). Both differences between sampling sites as well as marine water that

is filtered and unfiltered show no statistically significant effect on reflectance endmembers. These results can potentially be applied when extrapolated to other locations; albeit regarding these two factors, first, caution should be used due to proximity of sampling sites and, second, it is possi

ble that water quality at the time of data collection was probably adequately sufficient and therefore negligible in differences. Epiphytes significantly dampen bottom-type reflectance throughout most of the visible light spectrum, excluding bandwidths at 485–510 and 645–680 nm (p 〈 0.005); these ex

clusionary bandwidths may be useful for assessment of seagrasses regardless of the influence of epiphyte presence. Growing depth at which seagrasses are naturally found does influence reflectance spectral responses, with the detection of deeper seagrasses (2 to 〈3 and 3 to 〈4 m) being less difficult

than those growing within 1 to 〈2 m. Furthermore, as the depth increases, only Heterozostera increases in the exact “red edge” wavelength value at which there is a rapid change in the near-infrared (NIR) spectrum. These findings help to further develop a spectral reflectance library that can be use

d for improved detection of seagrass endmembers during remote sensing, which can in turn allow for continued monitoring, assessment, and management of seagrasses as a continued natural resource.