digital marketing sp的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列評價、門市、特惠價和推薦等優惠

Selling Online for Dummies

為了解決digital marketing sp的問題，作者Waddy, Paul 這樣論述：

Transform your ecommerce ideas into profitable reality with this page-turning new handbookYou’ve probably heard that online stores and ecommerce just had their best year in history. But have you ever wondered how to start selling online? Do you dream of staking out a piece of online real estate a

nd grabbing a big share of that multi-billion-dollar industry?In Selling Online For Dummies, accomplished exec and online shopping guru Paul Waddy shows you exactly how to get started in setting up your online shop. With an expert’s eye for business, and an easy-to-understand take on the technical s

tuff, Waddy takes you from digital start to finish as he discusses topics like: How to find hot products to sell, and what to do if you don’t have an idea for one yetBuilding a website from scratch by choosing the right developer and platformMarketing your site by email and on Google, Instagram, Fac

ebook, and moreHow to deal with payments, currencies, taxes, and dutiesPerfect for anyone who’s ready to take advantage of the commercial opportunities waiting for them online, Selling Online For Dummies is a must-read that will help you turn your great idea from virtual to reality.

digital marketing sp進入發燒排行的影片

COVID-19疫情對運動產業行銷策略與經營績效之影響；以Nike公司為例

為了解決digital marketing sp的問題，作者謝閔揆 這樣論述：

隨著時代的發展，許多運動品牌崛起，消費者能選擇的品牌也與日俱增，而現代人的運動需求多元，使用數位科技來滿足自己的運動需求已成為常態，然而最近全球遭受疫情疫情影響，對人民的生活習慣有相當大的改變，而對於運動產業也帶來毀滅性的衝擊，像是賽事活動停擺、門市停業等等，受到不小的經濟損失面臨轉型的難題，本研究將探討Nike在疫情中受到的影響，及行銷團隊如何迅速的因應，激盪出新的行銷策略來度過低迷的景氣。本研究使用Nike公司本身提供的財務報表來進行行銷分析，以及選擇Nike及其他競爭品牌透過數據的比較在疫情下雙方受到的衝擊程度，以及對應的行銷策略是否出色，觀察Nike公司如何在疫情的困境中脫穎而出，本

研究將根據Nike年報中所給出的本期稅後淨利、股東權益報酬率、資產報酬率、股票日報酬率等數據來進行分析，並結合其他競爭品牌的行銷策略找出彼此間的共同點。本研究結果發現Nike公司受到COVID-19新冠肺炎的影響，各項財務指標皆直線下滑，而Nike透過出色的轉型策略，即時的控制現有金流，將部分門市即時歇業止損，同時並加強網路行銷，並結合球星的知名度來帶動買氣，適當的縮減營業規模，並開發新的數位科技產品，如：線上運動課程、Nike的podcast平台等等行銷策略來讓原本受疫情下滑的營收成長。

The Role of Smart Technologies in Decision Making: Developing, Supporting and Training Smart Consumers

為了解決digital marketing sp的問題，作者 這樣論述：

This comprehensive book examines the impact of smart technologies in consumer’s behaviour from a contemporary perspective, blending marketing and retailing along with other disciplines such as psychology, media studies and sociology.Market forces and technological advancements are making the mana

gement of and strategies for innovation more prominent and essential in all functions of business, not least marketing and retailing. Frontiers of marketing are constantly pushed, requiring the development and adjustments of new theories. Prior literature on innovation in marketing has mainly focuse

d on digital marketing strategies and consumer behaviour, while only recently introducing the notion of smart retailing in terms of smart experience and interaction. While these studies provide a basis for defining smart retailing and consumer behaviour in smart retail settings, the concept of smart

consumers is still under-investigated. Thus, the smart consumer - consumers making extensive use of smart technologies in all steps of their shopping behaviour and experience of the store (both offline and online) - is emerging as a promising area for future marketing and retailing studies.The chap

ters in this edited volume seek to understand the effect of innovation in consumer behaviour by proposing original empirical and theoretical contributions, methods, models, tools and case studies that contribute to explain this emergent phenomenon.The chapters in this book were originally published

as a special issue of the Journal of Marketing Management.

觀聲量，探股市！比特幣的網路聲量與市場價格對其概念股股價之關聯研究

為了解決digital marketing sp的問題，作者邱建翔 這樣論述：

比特幣在金融市場的價值逐漸提高，帶動一波全民「挖礦」熱潮，形成以比特幣產業鏈為概念的比特幣概念股，過往研究指出比特幣價格波動和比特幣概念股股價具有連動關係，然而現今大量訊息於社群媒體流竄，投資人買賣股票的決策易受到網路訊息與大眾對該股票相關議題評價而影響，因此，本研究將進一步探討比特幣價格、比特幣網路聲量與其正負面情緒比對比特幣概念股之影響。本研究蒐集2020年8月10日至2021年8月6日之比特幣網路聲量與其正負面情緒比、比特幣價格及比特幣概念股股價，利用時間序列分析中的向量自迴歸模型 (Vector Autoregression Model) 建立股價預測模型，透過Granger因果分析

觀察是否有領先與落後關係存在於變數間，並利用衝擊反應函數與預測誤差異變數分解來檢視變數間的動態關係，最後以均方根誤差(Root-Mean-Squre Error)比較納入網路聲量後的複合模型，其預測誤差是否低於過去僅納入比特幣價格之單因子模型。本研究主要發現包含 (1)比特幣價格與網路聲量對概念股公司股價有影響，但依不同公司之結果存在差異； (2)挖礦效能相關產業之概念股公司，其公司股價易受到比特幣價格與比特幣網路聲量波動所影響；(3)公司規模較小的公司股價易受比特幣網路聲量波動而影響，規模較大的公司則不易受網路聲量波動影響；(4)納入比特幣網路聲量之複合模型對預測股價準確率優於過去僅比特幣價

格之單因子模型。本研究為網路聲量對公司股價的影響提供不同視角，以延伸網路聲量於概念股股價預測的實際應用。