112 年 國立中央大學資訊管理學系碩士班丙組《管理資訊系統》

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第 1 題25 分

什麼是資訊管理?請分別說明你研讀過的所有教科書作者的觀點、以及你自己融會貫通後的觀點。(25分)

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這一題的完整詳解

本題主要在考察學生對「資訊管理」基本概念的理解與整合能力。考生需要回顧並歸納不同教科書對資訊管理(Management Information Systems, MIS)的定義與核心內容,並在此基礎上提出自己整合後的觀點。

詳解:

資訊管理(MIS)的核心目的是利用資訊科技(IT)來支持組織的營運、決策與競爭優勢。不同的教科書可能從不同角度切入,但通常包含以下幾個關鍵面向:

  1. 教科書作者的觀點(歸納與整合):
    • 強調系統觀點: 許多教科書會將 MIS 定義為一個整合的系統,包含人員、流程、技術和資料,旨在收集、處理、儲存、分發資訊以支援組織的決策制定、協調、控制、分析與視覺化。例如, Laudon & Laudon 的教科書常強調 MIS 是「組織與資訊科技之間互動的系統」。
    • 強調決策支援: 部分教科書會聚焦於 MIS 在支援各層級管理者決策方面的角色,區分出不同類型的資訊系統,如交易處理系統(TPS)、管理資訊系統(MIS)、決策支援系統(DSS)、主管資訊系統(EIS)等。
    • 強調資訊資產管理: 另一些觀點則強調資訊本身作為一種重要的組織資產,MIS 的目標是有效管理這些資產,確保其可用性、準確性、安全性與時效性。
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第 2 題25 分

社群媒體已經成為假消息或謠言傳遞的管道,請舉例說明此現象,並以資訊管理觀點分析問題及提供可能解決方案。(25分)

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這一題的完整詳解

本題主要探討社群媒體上的假消息傳播現象,並要求從資訊管理的角度進行分析與提出解決方案。

詳解:

核心觀念: 社群媒體的開放性、快速傳播性與低門檻,使其成為假消息(Fake News)與謠言(Rumors)的溫床。資訊管理在此需要關注資訊的品質、流動、驗證機制以及使用者的素養。

1. 舉例說明假消息或謠言傳遞的現象:

  • 例子一:COVID-19 疫情期間的假消息

    • 現象: 在 COVID-19 疫情初期,社群媒體上充斥著各種關於病毒來源、預防方法、治療藥物的未經證實或錯誤資訊。例如,聲稱喝漂白水或酒精可以殺死病毒、聲稱 5G 基地台會傳播病毒、或是各種「祖傳秘方」能治癒 COVID-19 等。
    • 傳播途徑: 這些訊息透過 Facebook、LINE、Twitter、Instagram 等平台,以文字、圖片、短影片等形式,在親友群組、粉絲專頁、甚至公開發布,由於其聳動或迎合特定心理(如恐懼、希望),極易被快速轉發分享,形成病毒式傳播。
    • 影響: 導致民眾延誤就醫、採取無效甚至有害的預防措施、對科學產生不信任感、甚至引發社會恐慌或對立。
  • 例子二:選舉期間的政治謠言

    • 現象: 在選舉前後,社群媒體常成為政治攻防的戰場。候選人或其支持者可能散布對手的不實資訊,例如捏造的緋聞、抹黑的政績、或扭曲的政策內容。
    • 傳播途徑: 透過網軍、假帳號、或有心人士刻意操作,將這些謠言包裝成「新聞」、「內幕消息」,在特定社群或論壇散播,影響選民的判斷。
    • 影響: 損害候選人聲譽、誤導選民、影響選舉結果的公平性,加劇社會對立。

2. 以資訊管理觀點分析問題:

從資訊管理的角度,假消息/謠言的傳播可視為一個「資訊品質」與「資訊流」失控的問題,主要可從以下幾個面向分析:

  • 資訊來源的不可靠性(Source Reliability): 社群媒體的開放性使得任何人都可以成為資訊的發布者,缺乏傳統媒體的編輯審查機制,導致大量未經驗證的資訊湧入。
  • 資訊傳播的速度與範圍(Speed and Reach): 演算法推薦、分享機制、群組傳播等,使得假消息能以極快的速度、極廣的範圍傳播,一旦被觸及,影響力便迅速擴大。
  • 資訊驗證機制的缺乏(Lack of Verification Mechanisms): 接收者往往缺乏足夠的資訊判讀能力,或缺乏便捷的工具來驗證資訊的真偽,容易受情緒或偏見驅動而相信並轉發。
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第 3 題25 分

Regarding digital transformation, please answer the following questions from the perspective of management information systems, and give an example to support your explanations.
(a) Define digital transformation, and explain how digital transformation provide value to businesses. (5分)
(b) Describe the possible benefits of digital transformation for business resilience. (10分)
(c) Distinguish between digital transformation and green transformation. (10分)

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這一題的完整詳解

本題要求從管理資訊系統(MIS)的角度,探討數位轉型(Digital Transformation, DT)的定義、對企業的價值、對業務韌性的益處,以及與綠色轉型(Green Transformation, GT)的區別。

核心觀念: 數位轉型是企業運用數位科技來根本性地改變其營運模式、客戶體驗和價值主張的過程。MIS 在其中扮演著核心驅動者和賦能者的角色。

3.(a) Define digital transformation, and explain how digital transformation provide value to businesses.

  • Definition of Digital Transformation:
    Digital transformation refers to the strategic and pervasive integration of digital technology into all areas of a business, fundamentally changing how organizations operate and deliver value to customers. It is a cultural, organizational, and technological shift that requires leaders to continually challenge the status quo, experiment, and become comfortable with failure. From an MIS perspective, it's about leveraging information systems and technologies to reimagine business processes, customer interactions, and entire business models.

  • How Digital Transformation Provides Value to Businesses:
    Digital transformation creates value for businesses in several key ways, often enabled and measured by MIS:

    1. Enhanced Customer Experience: By understanding customer behavior through data analytics (a core MIS function), businesses can personalize offerings, streamline customer journeys, and provide seamless omnichannel experiences.
      • Example: A retail company uses its CRM system (part of MIS) to track customer purchase history and online browsing behavior. This allows them to send personalized product recommendations via email and display targeted ads on their website, leading to increased sales and customer loyalty.
    2. Improved Operational Efficiency: Automating processes, optimizing supply chains, and using data-driven insights can significantly reduce costs and increase productivity.
      • Example: A manufacturing firm implements an IoT-enabled predictive maintenance system (managed by MIS). Sensors on machinery collect real-time data, which is analyzed to predict potential failures before they occur, reducing downtime and maintenance costs.
    3. New Business Models and Revenue Streams: Digitalization enables the creation of new products, services, and ways of doing business, opening up new markets.
      • Example: A traditional software company shifts from selling perpetual licenses to offering a Software-as-a-Service (SaaS) model, generating recurring revenue and providing continuous updates. This transition requires robust cloud infrastructure and subscription management systems, overseen by MIS.
    4. Better Decision-Making: Advanced analytics and real-time data dashboards (MIS tools) empower managers with better insights for strategic and operational decisions.
      • Example: A logistics company uses real-time tracking data and AI-powered route optimization software (MIS) to dynamically adjust delivery routes based on traffic conditions, weather, and delivery priorities, improving on-time delivery rates and reducing fuel consumption.
    5. Increased Agility and Innovation: Digital capabilities allow businesses to respond more quickly to market changes and innovate faster.

【答案】
詳見上述說明。

3.(b) Describe the possible benefits of digital transformation for business resilience.

Business resilience refers to an organization's ability to anticipate, prepare for, respond to, and recover from disruptive events (e.g., economic downturns, natural disasters, pandemics, cyberattacks) while continuing to operate and adapt. Digital transformation significantly enhances business resilience through various mechanisms supported by MIS:

  1. Enhanced Adaptability and Agility:

    • Benefit: Digital systems are often more flexible and modular than traditional ones. This allows businesses to pivot quickly when faced with disruptions. For instance, if a physical store is closed due to a lockdown, a business with strong e-commerce capabilities (enabled by MIS) can immediately shift its focus to online sales.
    • Example: During the COVID-19 pandemic, restaurants that had already invested in online ordering platforms, delivery partnerships, and digital payment systems (all managed by MIS) could adapt much faster to dine-in restrictions than those reliant solely on physical presence.
  2. Improved Business Continuity:

    • Benefit: Digital infrastructure, such as cloud computing and remote work tools, allows employees to continue working from distributed locations, minimizing operational halts during crises. Robust data backup and disaster recovery systems (MIS components) ensure data availability.
    • Example: A company with a well-established cloud-based collaboration platform and VPN access can ensure its employees can work remotely if its physical office becomes inaccessible, maintaining productivity and service delivery.
  3. Data-Driven Risk Management and Early Warning Systems:

    • Benefit: MIS can integrate data from various sources to monitor external and internal environments for potential threats. Advanced analytics can identify patterns indicating emerging risks, allowing for proactive measures.
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第 4 題25 分

Digital news has become as the major source of information for people across the world, with social media playing a crucial role in news consumption. According to a 2022 survey by the Pew Research Center, half of U.S. adults get news at least sometimes from social media. The figures below show some of the findings from this investigation. Please answer the following questions from the perspective of management information systems, and give an example to support your explanations.
(a) Identify and explain the key findings from the figures below. (10分)
(b) Develop a research hypothesis based on the findings, and explain the rationale for the hypothesis. (15分)

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這一題的完整詳解

本題要求從管理資訊系統(MIS)的角度,分析 Pew Research Center 關於社群媒體與新聞消費的調查數據,並根據這些數據提出研究假說。

核心觀念: 數據分析、資訊傳播、使用者行為、平台演算法是 MIS 在此情境下的關鍵關注點。

4.(a) Identify and explain the key findings from the figures below.

The figures provided by the Pew Research Center offer insights into how Americans consume news through social media, examining trends over time and across different demographic groups. From an MIS perspective, these findings highlight critical aspects of information dissemination, user engagement, and platform dynamics.

Key Findings from Figure 1 (Social media sites by portion of users who regularly get news there):

  1. Dominance of Major Platforms for News Consumption: Twitter, Facebook, and YouTube consistently show the highest percentages of their users regularly getting news there across the years '20, '21, and '22. For instance, Twitter has remained above 50% for its users getting news, and Facebook has hovered around 50-55%.
    • MIS Implication: This indicates that established social media platforms serve as significant conduits for news delivery. MIS needs to understand the information architecture and content delivery mechanisms of these platforms.
  2. Declining or Stagnant Trends for Some Platforms: While Twitter and Facebook remain strong, some platforms show fluctuating or slightly declining trends in news consumption share over the years (e.g., Reddit, Instagram). YouTube's trend is also somewhat variable but remains high.
    • MIS Implication: This suggests that user behavior regarding news consumption on social media is dynamic. MIS must continuously monitor these trends to understand how information flow patterns evolve and which platforms are gaining or losing relevance for news.
  3. Emergence of Newer Platforms (e.g., TikTok): TikTok shows a notable increase in its news consumption share, though still lower than established giants. Nextdoor is also introduced in 2022 without trend data.
    • MIS Implication: This highlights the need for MIS to remain aware of new platforms and their potential to disrupt traditional news dissemination channels. Understanding the unique features and user base of emerging platforms is crucial.
  4. Platform-Specific Engagement: Different platforms attract news consumers with varying levels of regularity. Twitter and Facebook are primary destinations for a significant portion of their users, while others like Snapchat, LinkedIn, WhatsApp, and Twitch have a smaller, though still present, share of users getting news.
    • MIS Implication: This points to different information ecosystem designs and user intentions on each platform. MIS can analyze these differences to understand how platform features influence information consumption.

Key Findings from Figure 2 (Demographic profiles and party identification of regular social media news consumers in the U.S.):

  1. Gender and Age Demographics:

    • Men vs. Women: There are notable differences. For example, on Facebook, 63% of regular news consumers are women, while on LinkedIn, 67% are men.
    • Age Groups: Younger adults (18-29) show a higher propensity to get news from platforms like TikTok and Snapchat, while older groups (50-64, 65+) tend to rely more on Facebook and YouTube, or platforms like Nextdoor.
    • MIS Implication: These demographic patterns reveal distinct user segments and their preferred information channels. MIS can use this for targeted information dissemination or to understand differing information needs and consumption habits.
  2. Education Level and News Consumption:

    • Educational Attainment: Users with higher education levels (College+) tend to rely more on platforms like Twitter and LinkedIn for news, while those with lower education levels (High school or less) show a higher reliance on Facebook and YouTube.
    • MIS Implication: This suggests that information literacy and critical evaluation skills might correlate with educational background, influencing platform choice and how news is consumed and processed.
  3. Racial/Ethnic Groups:

    • Variations Across Groups: Different racial and ethnic groups show preferences for certain platforms. For example, Black adults show higher news consumption on Facebook and YouTube compared to White adults.
    • MIS Implication: Cultural and community factors likely influence information consumption patterns. MIS needs to consider these nuances when analyzing user behavior.
  4. Political Affiliation:

    • Party Identification: Democrats/Lean Democrats show a stronger tendency to get news from platforms like YouTube, TikTok, and Snapchat compared to Republicans/Lean Republicans, who show a higher percentage on Facebook and Nextdoor.
    • MIS Implication: This finding is particularly critical from an MIS perspective, as it suggests potential for echo chambers and political polarization. Different political groups might be exposed to vastly different news diets, reinforcing existing beliefs.

Overall Key Findings:

  • Social media is a primary news source for a significant portion of the U.S. adult population, with established platforms like Twitter, Facebook, and YouTube leading.
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