企業資源規劃系統（ERP）雖然所費不貲而且複雜，但卻是企業在面臨快速變化的經營環境與競爭激烈的市場時，不可或缺的重要資訊系統。過去幾年來，台灣的通訊產業經歷了可觀的產值成長，本論文提出兩個不同模型研究影響台灣通訊產業採用ERP之關鍵因素。
本論文的第一個模型主要是以科技-組織-環境架構（TOE framework）探討影響台灣通訊產業採用ERP之關鍵因素。本篇文章在科技-組織-環境架構下發展出八個項目變數，運用羅吉斯迴歸分析實證結果得知，包含科技準備度、規模、認知障礙及製程改善四個項目變數是探討採用ERP的主要影響因素，該模式之整體準確率為79.8%。
本論文第二個模型主要探討企業經營策略與台灣通訊產業採用ERP之關聯性。本研究利用羅吉斯迴歸分析方法加以驗證。實證研究結果顯示企業的製程改善營運策略是影響公司採用ERP的重要因素；此外，公司規模也顯示出重要之區別能力，表示公司規模大小影響ERP採用的決策。此模式之整體準確率為74.4%。
雖然兩個模型的整體準確率不一樣，但統計上都高於隨機預測模型。更進一步根據兩母體比例之差的假設檢定顯示，本論文所探討之兩個模型的整體準確率並沒有顯著差異。

Enterprise resource planning (ERP) systems are costly and complex but vital for companies having to face a rapidly changing business environment and an increasingly competitive marketplace. This thesis includes two articles within different models to investigate the determinants of the ERP adoption in Taiwan’s communications industry whose production has experienced astounding growth over the past few years.

The purpose of the first model in this thesis is to examine the factors within the technology-organization-environment (TOE) framework that affect the decision to adopt ERP in Taiwan’s communications industry. Eight factors in three broad categories are tested using logistic regression, and four of these, technology readiness, size, perceived barriers and production and operations improvements, are found to be important determinants of the adoption of ERP. This model correctly classifies 79.8% of the decisions made with respect to the adoption of ERP.

The second model of the thesis is to examine the relationship between business strategies and the adoption of ERP in Taiwan’s communications industry. A logistic regression analysis reveals that among the key internal and external business strategies of firms, “production and operations improvements” is the important factor that determines whether ERP is adopted or not. Another variable, organization size is the chief determinant for ERP adoption, indicating that companies of different size approach the adoption of ERP differently. These variables correctly classify 74.7% of the decisions made with respect to the adoption of ERP.

Although the correctly classified proportions of these two models are different, both models have statistically higher prediction accuracy than that of the random choice model. Furthermore, according to the test of the difference between these two population proportions, there is no sufficient evidence to reject that the correctly classified proportions of these two models are the same.

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