世新「真資管」「在職碩士專班」實驗保送計畫歡迎報名世新「真資管」「在職碩士專班」實驗保送計畫

世新「真資管」「在職碩士專班」實驗保送計畫請以谷歌搜尋「資管教育」,看誰是排名第一的資管系所?

世新「真資管」「在職碩士專班」實驗保送計畫適合非資訊本科在職者,發展第二資管專長。世新「真資管」「在職碩士專班」實驗保送計畫適合擬轉業者/退休者,發展人生第二春、第二樂趣!

Internet Users Behavior

Google Analytics 制訂策略Solid Evidence!
This Web Community has the most first keywords in Google Ranking Worldwide

Details
電子商務市場預測模式
This site was the only one forecasted and announced the alert for "Dot Com Bubble"

Intro

This empirical research series, 1966-now, investigated internet users??behavior and the growth of E-commerce in Taiwan. Some new ideas of methodological issues for internet users??surveys have been initiated and employed. The major perspectives we provide are the followings:

Profiling

To depict the profiles of internet users, its characteristics of ?ybercitizen?? and its implication for globalization.

Forecast

To forecast internet activities in Taiwan, and to reveal the reality of E-commerce and its growth trend.

Strategies

To propose E-commerce strategies on market planning and public policies for private or governmental sectors.3.

Methodology

To initiate new ideas of methodological issues for internet users??surveys and also contribute to the scientific .philosophy in behavioral research.

Four strategies were examined including: market scale and trends, sales volume and trends, best seller and potential products, and barriers to E-commerce.
This research series is the first and only work to conduct internet users and E-commerce research on a random sampling base in Taiwan.

Dot-Com Crisis Alert

There were many studies that reported a much more optimistic vision than ours. Our experience suggests keeping a more careful forecast. Based on the research series, Sean TX Wu announced an alert to E-commerce industry at the ?nternational Conference on Communication Technology??in December, 1999. The basic message of this conference was, ?nvest in E-commerce now, before it is too late?? Wu was the only one to step on the brake. In March 2000, 4 months after our alert, the ?ot-com disaster??really happened.
The alert was based on the use of a tool we developed to assist in forecasting growth with the General Adoption Model. This tool is the Ambiance Expectation Thermometer, a measure based on content analysis of media coverage.
The visual growth of E-commerce is shown at the top of this page. The comparison of the Active Adoption Model data and the Ambiance Expectation Thermometer  is shown here.

Digital Divide

Evidence has also shown another angle in which to consider the ?igital Divide?? Psychological and cognitive factors might be a better approach than demographic variables to analyze the cause.
The findings were also compared with relevant results in the USA to provide cross-cultural perspectives. Furthermore, the author found there were various results in different studies. The statistics were even not convergent in different release versions of the same survey conductor. The different survey methods and interpretation might have produced this conflict. Thus, core methodological issues were selected and discussed in order to initiate integrated points of view.

Silver Jay

According to the Chinese Mythology, jays are the builder to bridge the Silver River (Milk Way) for the Altair and Vega. Internet is today's Silver Jay to make the imagination come true.

回頁首 Up to page head 至相關主題 Go to related pages
E-commerce Strategy E-commerce Strategy E-commerce Strategy  
請點這裡看所有留言分類 Please click here to view categories of comments
同類別內相關主題

上層主題
統雄網路社群的Google分析排名
統雄網群 Google關鍵字全球第一
統雄網群 Google關鍵字全球首頁選錄
電子商務個體策略:行為科技TxES與網路科技SEO/Google數位分析應用
Google Analytics SERP關鍵字篇
Google Analytics SEO優化篇
Google Analytics 黑心SEO/老鼠會篇
什麼是SEO 搜尋增強器? What is SEO Boosters
內容農場行銷‧網站內容行銷‧谷歌貓熊內容評鑑 Content Farms Marketing, Content Marketing, Google Panda
TxES 行為科技:數位分析的行動方案平臺_電子商務 網路消費行為 個體策略技術應用 TxES and Digital Analytics
TxES電子商務個體策略:數量分析 TxES for Business Entity: Quantity Analysis
TxES電子商務個體策略:品質分析 TxES for Business Entity: Quality Analysis
Google Analytics 實作篇
Google Analytics 進階篇
Google Analytics 範例篇
Google Analytics 驗證篇