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社群媒體擴散對非直接銷售模式營收之影響：以 C 家電品牌之六度分隔理論應用為例;社群媒體擴散對非直接銷售模式營收之影響：以 C 家電品牌之六度分隔理論應用為例

Tue, 20 Oct 2026 07:21:06 GMT

title: 社群媒體擴散對非直接銷售模式營收之影響：以 C 家電品牌之六度分隔理論應用為例;社群媒體擴散對非直接銷售模式營收之影響：以 C 家電品牌之六度分隔理論應用為例 abstract: 隨著社群媒體成為企業重要的數位行銷工具，品牌資訊得以透過網絡快速傳播，並可能影響消費者之產品認知與購買決策。然而，對於採用企業對企業對消費者（Business-to-Business-to-Consumer， B2B2C）銷售模式之企業而言，品牌並未直接向終端消費者完成交易，社群互動是否能進一步與企業營收形成穩定關聯，仍有待實證檢驗。因此，本研究以六度分隔理論（Six Degrees of Separation）與弱連結理論（The Strength of Weak Ties）為理論基礎，以C公司台灣分公司為研究個案，探討Facebook社群互動、資訊擴散與企業營收之關聯。本研究蒐集2023年1月至2025年12月共36個月之Facebook官方粉絲專頁後台數據與公司內部月營收資料，並另取得2026年1月營收資料，以進行一期滯後分析。研究變數包括分享數、留言數、曝光數、發文篇數、傳播轉換率、當月營收及次月營收。本研究採用描述性統計、標準化趨勢比較、Pearson相關分析、月變化量分析、當月與次月多元線性迴歸分析，並以成對樣本t檢定比較不同內容類型之傳播轉換率差異。研究結果顯示，Facebook分享數、留言數、曝光數及發文篇數與當月營收之相關程度均偏低，且皆未達統計顯著水準。當月多元迴歸模型之R平方為0.0774，整體模型亦未達顯著。月變化量分析同樣未發現社群互動增減與營收增減之間存在顯著且穩定的線性關聯。在一期滯後分析方面，分享數與曝光數和次月營收之相關係數雖較當月提高，但留言數及發文篇數未呈現一致結果，且各項相關均未達統計顯著。次月多元迴歸模型之R平方為0.0656，低於當月模型，整體模型亦未達顯著。因此，尚無足夠證據支持Facebook社群互動指標與次月營收之關聯程度高於其與當月營收之關聯程度。在強連結與弱連結比較方面，本研究以分享數作為弱連結擴散之代理指標，以留言數作為相對較具互動深度之強連結代理指標。分析結果顯示，分享數與營收之相關係數絕對值低於留言數，且兩者均未達統計顯著，因此無法證明弱連結擴散代理指標與營收之關聯程度高於強連結互動代理指標。在內容類型分析方面，情感／形象型內容之平均傳播轉換率高於資訊型內容，但兩類內容之差異未達統計顯著；資訊型內容與營收之相關程度在數值上高於情感／形象型內容，但兩者均未達統計顯著。整體而言，本研究所提出之主要假說均未獲統計支持。綜合研究結果可知，在C公司B2B2C銷售模式下，Facebook社群互動與企業月營收之直接線性關聯有限。標準化趨勢比較與標準化多元迴歸結果亦未發現社群互動與營收之間存在穩定且顯著的線性關聯。此一結果並不表示社群媒體不具管理價值，而是顯示社群資訊擴散與企業營收轉化分屬不同層次之績效問題，兩者之間仍受到消費者決策、促銷活動、產品組合、通路訂貨、出貨安排及營收認列時點等因素影響。六度分隔理論與弱連結理論仍可作為解釋品牌資訊跨圈層傳播之理論基礎，但本研究之月彙總資料尚不足以驗證完整網絡路徑，亦無法證明社群擴散能穩定轉化為企業營收。基於研究結果，B2B2C企業除持續衡量社群曝光與互動外，亦可透過產品體驗、使用情境分享、消費者推薦及通路合作活動，鼓勵實際使用者將產品經驗傳遞至其家人、朋友及其他社交圈層，以強化人際網絡中的口碑擴散，並建立社群互動、通路活動與後續銷售資料之追蹤機制。本研究結果可供B2B2C企業進行社群績效衡量、內容策略規劃、口碑推薦機制及通路資料整合之參考。;As social media has become an important digital marketing tool， brand information can be rapidly disseminated through online networks and may influence consumers’ product awareness and purchase decisions. However， for firms operating under a Business-to-Business-to-Consumer (B2B2C) sales model， brands do not directly complete transactions with end consumers. Whether social media engagement can be translated into a stable relationship with corporate revenue therefore requires further empirical examination. Drawing on the Six Degrees of Separation Theory and the Strength of Weak Ties Theory， this study investigates the relationships among Facebook engagement， information diffusion， and corporate revenue， using the Taiwan branch of Company C as a case study. This study collected 36 months of Facebook Page Insights data and internal monthly revenue records from January 2023 to December 2025. Revenue data for January 2026 were additionally obtained for the one-period lag analysis. The variables examined included shares， comments， impressions， number of posts， diffusion conversion rate， current-month revenue， and next-month revenue. Considering the differences in measurement units and numerical scales between social media engagement indicators and revenue， the main social media engagement indicators and revenue variables were transformed into standardized Z-scores for trend comparison and standardized multiple regression analyses. The empirical analyses subsequently included descriptive statistics， Pearson correlation analysis， month-to-month change analysis， current-month and next-month multiple linear regression analyses， and a paired-samples t-test to compare the diffusion conversion rates of different content types. The results indicate that Facebook shares， comments， impressions， and number of posts had only weak relationships with current-month revenue， and none of these relationships reached statistical significance. The current-month multiple regression model produced an R-squared value of 0.0774 and was not statistically significant. The month-to-month change analysis also failed to identify a significant and stable linear relationship between changes in social media engagement and changes in revenue. In the one-period lag analysis， the correlations of shares and impressions with next-month revenue were numerically higher than their correlations with current-month revenue. However， comments and number of posts did not show the same pattern， and none of the next-month correlations reached statistical significance. The next-month multiple regression model yielded an R-squared value of 0.0656， which was lower than that of the current-month model， and the overall model was not statistically significant. Therefore， there was insufficient evidence to support the proposition that Facebook engagement indicators were more strongly related to next-month revenue than to current-month revenue. For the comparison between strong- and weak-tie proxies， shares were used as a proxy for weak-tie diffusion， while comments were used as a proxy for relatively deeper interaction. The absolute correlation between shares and revenue was lower than that between comments and revenue， and neither relationship was statistically significant. Accordingly， the findings did not demonstrate that the weak-tie diffusion proxy had a stronger relationship with revenue than the strong-tie interaction proxy. Regarding content types， emotional and brand-image content generated a higher average diffusion conversion rate than informational content， but the difference was not statistically significant. Informational content showed a numerically stronger relationship with revenue than emotional and brand-image content， but neither relationship reached statistical significance. Overall， the major hypotheses proposed in this study were not statistically supported. The findings suggest that， under Company C’s B2B2C sales model， the direct linear relationship between Facebook engagement and monthly corporate revenue is limited. The standardized trend comparisons and standardized multiple regression analyses likewise did not identify a stable and statistically significant linear relationship between social media engagement and revenue. This result does not imply that social media lacks managerial value. Rather， it indicates that social media diffusion and revenue conversion represent different levels of performance and are jointly affected by consumer decision-making， promotional activities， product mix， channel ordering， shipment arrangements， and revenue recognition timing. The Six Degrees of Separation Theory and the Strength of Weak Ties Theory may still serve as theoretical perspectives for explaining the cross-group diffusion of brand information. Nevertheless， the monthly aggregate data used in this study were insufficient to verify complete network paths or demonstrate that social media diffusion could be consistently translated into corporate revenue. Based on the findings， B2B2C firms may use product trial programs， usage-scenario sharing， consumer referral activities， and coordinated channel campaigns to encourage actual users to share their product experiences with family members， friends， and other social groups， thereby strengthening interpersonal word-of-mouth diffusion. Firms should also establish tracking mechanisms that integrate social media engagement， channel activities， and subsequent sales data. The findings provide practical references for social media performance measurement， content strategy planning， word-of-mouth referral mechanisms， and channel data integration in B2B2C firms.

碳費與租稅優惠政策對台灣半導體產業鏈財務績效之影響;碳費與租稅優惠政策對台灣半導體產業鏈財務績效之影響

Tue, 20 Oct 2026 07:21:01 GMT

title: 碳費與租稅優惠政策對台灣半導體產業鏈財務績效之影響;碳費與租稅優惠政策對台灣半導體產業鏈財務績效之影響 abstract: 為應對氣候變遷，全球主要經濟體相繼提出『2050 淨零排放』目標並建構碳定價機制。歐盟《碳邊境調整機制》（CBAM）與美國《清潔競爭法案》（CCA）之推動，已將碳排放正式納入國際貿易之關鍵成本。我國為接軌國際規範，於2023年公布《氣候變遷因應法》，確立2050 零路徑，並啟動碳費徵收機制。然而，對於以出口為導向、營運資本密集且具備高研發投入特性的台灣半導體產業而言，碳費之課徵不僅是單純的成本支出，更涉及《產業創新條例》中研發抵減紅利之財務對沖效益。本研究探討台灣碳費政策與產業創新條例第10條之2租稅優惠對半導體產業鏈財務績效之淨影響。依據產業代表性與研發規模，選取台灣半導體產業鏈之關鍵企業為樣點，六間具產業代表性之上市企業為對象，以台積電、聯發科、日月光(A組)分別代表晶圓製造、IC設計與封裝測試之全球龍頭，具備高額研發投入以觀察其對《產創條例》10條之2的政策適用性；與世界先進、義隆電子、京元電子(B組)作為具特定製程或產品優勢之企業對照組為研究對象，藉此分析不同規模與技術位階在碳定價衝擊下的財務韌性差異，分析2019-2024年財務與碳排放數據。研究透過企業年度ESG永續報告書揭露之碳排放數據，依據環境部預估碳費費率推算潛在碳成本支出，並進一步探討該成本對企業財務績效之真實影響。研究結果發現，儘管各企業均設定淨零減碳目標，但碳定價政策開徵將對財務績效產生結構性分歧。大廠憑藉高額研發投入，成功跨越《產創條例》10-2 條之獎勵門檻，有效運用所得稅抵減紅利抵銷碳成本衝擊；反觀中小規模企業因政策紅利邊際效應較低，其每股盈餘（EPS）、淨利率及股東權益報酬率（ROE）均面臨較顯著之負面壓力。台灣碳費費率之訂定及租稅配套措施之執行，將直接影響半導體產業鏈內部的競爭優勢配置。因此，企業能否將碳成本轉化為綠色轉型與政策套利之動能，將成為決定其國際競爭力與財務績效之關鍵因子。;In response to climate change， major global economies have established "2050 Net-Zero Emissions" targets and implemented carbon pricing mechanisms. The advancement of the EU′s Carbon Border Adjustment Mechanism (CBAM) and the U.S. Clean Competition Act (CCA) has officially integrated carbon emissions as a critical cost factor in international trade. To align with global standards， Taiwan promulgated the Climate Change Response Act in 2023， establishing a 2050 net-zero pathway and initiating a carbon fee collection mechanism. However， for Taiwan’s semiconductor industry—characterized by its export-oriented nature， capital intensity， and high R&D investment—the imposition of carbon fees represents more than a mere cost expenditure; it involves a financial hedging effect against the R&D tax credit benefits provided under the Statute for Industrial Innovation. This study investigates the net impact of Taiwan′s carbon fee policy and the tax incentives under Article 10-2 of the Statute for Industrial Innovation on the financial performance of the semiconductor supply chain. Based on industry representativeness and R&D scale， six key listed companies were selected as research subjects and divided into two groups. Group A (TSMC， MediaTek， and ASE) represents global leaders in wafer fabrication， IC design， and assembly/testing， respectively， characterized by substantial R&D investments to observe their eligibility for Article 10-2 incentives. Group B (VIS， Elan Microelectronics， and KYEC) serves as a comparative group consisting of enterprises with specific process or product advantages， allowing for an analysis of the differences in financial resilience across different scales and technological tiers under the impact of carbon pricing. The study analyzes financial and carbon emission data from 2019 to 2024. By utilizing carbon emission data disclosed in corporate annual ESG Sustainability Reports， potential carbon cost expenditures are estimated based on the Ministry of Environment’s projected fee rates to explore the actual impact on corporate financial performance. The results indicate that while all enterprises have set net-zero targets， the implementation of carbon pricing will lead to a structural divergence in financial performance. Leading firms， leveraged by high R&D investments， successfully meet the incentive thresholds of Article 10-2 of the Statute for Industrial Innovation， effectively utilizing income tax credit bonuses to offset the shock of carbon costs. Conversely， small and medium-sized enterprises face significant downward pressure on Earnings Per Share (EPS)， Net Profit Margin， and Return on Equity (ROE) due to lower marginal policy benefits. The determination of Taiwan’s carbon fee rates and the execution of supporting tax measures will directly influence the allocation of competitive advantages within the semiconductor supply chain. Consequently， a firm′s ability to transform carbon costs into momentum for green transformation and "policy arbitrage" will be a decisive factor in determining its international competitiveness and financial performance.

應用層級分析法於IMS MCPCB供應商評選之研究－以S公司為例;應用層級分析法於IMS MCPCB供應商評選之研究－以S公司為例

Tue, 20 Oct 2026 07:20:57 GMT

title: 應用層級分析法於IMS MCPCB供應商評選之研究－以S公司為例;應用層級分析法於IMS MCPCB供應商評選之研究－以S公司為例 abstract: 隨著 5G 通訊、電動車（EV）及高效能運算（HPC）等應用快速發展，電子產品對高散熱、高可靠度之需求日益提升，使 IMS MCPCB（絕緣金屬基印刷電路板）成為關鍵材料之一。然而，在全球供應鏈受國際貿易政策變動與地緣政治風險影響下，供應商選擇不僅涉及成本因素，更需同時考量品質、交期、技術能力及供應穩定性等多重準則，增加企業決策之複雜性。本研究以 S 公司為個案，運用層級分析法（Analytic Hierarchy Process， AHP）建構 IMS MCPCB 供應商評選模型。首先透過文獻探討與專家訪談，建立包含品質、成本、交期、技術、服務及公司治理六大構面之評選架構，並發放問卷蒐集專家意見。經一致性檢定後，採用幾何平均法整合專家判斷，計算各構面與次準則之相對權重與整體權重。研究結果顯示，在六大構面中，以品質構面權重最高（0.437），為供應商評選之最關鍵因素，其次依序為成本、技術、交期、服務及公司治理。在次準則分析中，出貨品質穩定度、出貨品質良率及進料 IQC 管理為最重要之評估指標，顯示 IMS MCPCB(絕緣金屬基印刷電路板)產業具高度品質導向特性。此外，本研究透過三家實際供應商進行可行性驗證，結果顯示 AHP 評選結果與企業實際選擇一致，驗證本模型具備良好之可行性與實務應用價值。綜合而言，本研究所建構之 IMS MCPCB 供應商評選模型，能有效整合多準則因素並提供系統化決策依據，不僅可協助企業提升供應商選擇之客觀性與一致性，亦可作為後續供應商管理與策略規劃之參考;With the rapid development of 5G communication， electric vehicles， and high-performance computing， electronic products increasingly require high reliability and efficient thermal management. IMS MCPCB has become a key material due to its superior heat dissipation and structural stability. Under this trend， supplier selection has become more complex and requires consideration of multiple criteria beyond cost. This study develops a supplier selection model for IMS MCPCB using the Analytic Hierarchy Process (AHP). Based on literature review and expert interviews， six main criteria are identified: quality， cost， delivery， technology， service， and corporate governance. Expert questionnaires are collected， tested for consistency， and used to calculate the weights of each criterion. The results show that quality is the most important factor， with the highest weight (0.437)， followed by cost， technology， delivery， service， and corporate governance. At the sub-criteria level， shipment quality stability， yield rate， and incoming quality control (IQC) are ranked as the most critical factors， indicating a strong quality-oriented characteristic in the IMS MCPCB industry. A feasibility validation using three actual suppliers confirms that the AHP model results are consistent with the company’s actual supplier selection. This demonstrates that the proposed model is practical and can serve as a useful tool for supplier selection and management.

歐盟CBAM對台灣高碳排產業評價變化之影響-以鋼鐵產業為例;The Impact of the EU Carbon Border Adjustment Mechanism (CBAM) on Valuation Changes of Taiwan′ s High-Carbon Emission Industries: Evidence from the Steel Industry.

Tue, 20 Oct 2026 07:20:52 GMT

title: 歐盟CBAM對台灣高碳排產業評價變化之影響-以鋼鐵產業為例;The Impact of the EU Carbon Border Adjustment Mechanism (CBAM) on Valuation Changes of Taiwan′ s High-Carbon Emission Industries: Evidence from the Steel Industry. abstract: 隨著氣候變遷影響，全球對於環境議題格外重視，碳稅徵收更是不容忽視，近年來歐盟推動「碳邊境調整機制」（Carbon Border Adjustment Mechanism， CBAM），從過渡期公告至正式上路，對於貿易蓬勃發展的現今而言，無論哪一種產業皆屬重大衝擊。此舉不僅是環境政策的延伸，更代表國際貿易規範與永續治理的深度結合，對出口導向型經濟體如臺灣影響尤為顯著，鋼鐵產業因碳排放密集度高，成為CBAM首波納管的重點對象，未來在歐盟市場的競爭力將直接受到碳成本與碳資訊揭露要求等挑戰。本文以臺灣鋼鐵產業為研究對象，透過敘述性統計與迴歸分析，探討CBAM對企業經營績效與市場評價的影響，研究設計涵蓋碳排放資訊透明度、碳排強弱與財務指標之關聯，並從獲利能力、營收成長等面向進行分析。文獻指出，CBAM的推動將使企業過去未反映於財報的外部環境成本，轉化為必須承擔的內部財務負擔；同時，碳強度高的企業在出口競爭力上受限，低碳轉型者則可能獲得市場溢酬。碳稅波動與政策不確定性亦提升投資人風險感知，影響折現率與估值；而碳資訊揭露的透明度則成為影響投資人信心與資金流向的重要因素。本研究實證結果顯示，在歐盟CBAM政策衝擊下，企業獲利能力與永續治理機制對企業價值具有顯著正向影響。其中，高營業毛利率之企業因具備較佳之成本吸收能力、價格轉嫁能力及財務韌性，能有效減緩碳成本上升所帶來之衝擊，進而提升資產報酬率與股東權益報酬率；同時，設立永續委員會與提升資訊揭露透明度之企業，亦能透過制度化治理、風險控管與ESG市場評價效果，強化投資人信心並降低政策不確定性。然而，原預期碳排放強度與碳排放量應對企業績效產生負向影響之假說，實證結果卻呈現顯著正向關係，顯示目前CBAM尚處於政策接軌之階段，碳成本尚未完全內部化，因此，高碳排企業仍可能憑藉規模經濟、產能優勢、市場議價能力及技術資源維持短期獲利能力，因此負面效果尚未完全顯現。綜合而言，本研究認為CBAM對企業價值之影響已逐步形成，但其長期效果仍需隨政策全面施行與碳成本正式反映於財務結構後進一步觀察與驗證，同時亦突顯企業低碳轉型、永續治理與資訊透明化將成為未來維持國際競爭力與提升企業價值之重要關鍵。此外，本研究亦提醒CBAM政策的影響不僅限於單一產業，而是可能重塑整體出口導向型經濟的結構，若臺灣能及早建立碳定價制度、完善碳盤查與資訊揭露機制，並透過政策引導與技術創新協助企業降低碳風險，則有機會將危機轉化為契機，甚至在全球供應鏈重組中取得領先地位，此研究期望能提供學術上的理論貢獻及實務上的政策參考價值，協助臺灣產業在永續浪潮下穩健發展。;With the increasing impact of climate change， global attention to environmental issues has become more prominent， and the imposition of carbon taxes has become an issue that cannot be ignored. In recent years， the European Union has promoted the Carbon Border Adjustment Mechanism (CBAM)， from its transitional phase announcement to its formal implementation. In the context of today’s rapidly expanding global trade， this policy has generated significant impacts on all industries. This measure not only represents an extension of environmental policy， but also signifies the deep integration of international trade regulations and sustainable governance. Its impact is particularly significant for export-oriented economies such as Taiwan. Due to its high carbon emission intensity， the steel industry has become one of the key sectors included in the first phase of CBAM regulation， and its future competitiveness in the European market will be directly challenged by carbon costs and carbon information disclosure requirements. This study focuses on Taiwan’s steel industry and employs descriptive statistics and regression analysis to examine the impact of CBAM on corporate operating performance and market valuation. The research design includes carbon emission information transparency， carbon emission intensity， and their relationships with financial indicators， and further analyzes profitability and revenue growth. The literature indicates that the implementation of CBAM will transform external environmental costs， which were previously not reflected in financial statements， into internal financial burdens that firms must bear. At the same time， firms with higher carbon intensity are constrained in export competitiveness， while those undergoing low-carbon transformation may obtain market premiums. In addition， fluctuations in carbon taxation and policy uncertainty increase investors’ risk perception， thereby affecting discount rates and valuation. The transparency of carbon information disclosure has also become an important factor influencing investor confidence and capital flows. The empirical results of this study show that under the impact of the EU CBAM policy， corporate profitability and sustainable governance mechanisms have a significantly positive effect on firm value. Firms with higher gross profit margins possess better capabilities in cost absorption， price pass-through， and financial resilience， enabling them to effectively mitigate the impact of rising carbon costs and further improve return on assets (ROA) and return on equity (ROE). At the same time， firms that establish sustainability committees and enhance information disclosure transparency can strengthen investor confidence and reduce policy uncertainty through institutionalized governance， risk control， and ESG market evaluation effects. However， contrary to the original hypothesis that carbon emission intensity and total emissions would have a negative impact on corporate performance， the empirical results show a significantly positive relationship. This suggests that CBAM is currently still in the stage of policy alignment， and carbon costs have not yet been fully internalized. Therefore， high carbon-emitting firms may still rely on economies of scale， production capacity advantages， market bargaining power， and technological resources to maintain short-term profitability， and the negative effects have not yet fully materialized. In conclusion， this study finds that the impact of CBAM on firm value has gradually begun to emerge; however， its long-term effects still require further observation and verification as the policy is fully implemented and carbon costs are formally reflected in financial structures. At the same time， it highlights that low-carbon transformation， sustainable governance， and information transparency will become key factors for maintaining international competitiveness and enhancing firm value in the future. Furthermore， this study also points out that the impact of CBAM is not limited to a single industry， but may reshape the overall structure of export-oriented economies. If Taiwan can establish a carbon pricing system at an early stage， improve carbon inventory and information disclosure mechanisms， and assist firms in reducing carbon risks through policy guidance and technological innovation， it may be possible to turn challenges into opportunities and even gain a leading position in the restructuring of global supply chains. This study is expected to provide theoretical contributions to academia and practical policy implications， thereby supporting the steady development of Taiwan’s industries under the trend of sustainability.