联系我们

论文查询结果	返回搜索

论文编号：	15851
作者编号：	2320233813
上传时间：	2025/12/10 21:39:43
中文题目：	JT公司IT技术栈选型项目风险管理研究
英文题目：	Research on Risk Management of IT Technology Stack Selection Project in JT Company
指导老师：	石鉴
中文关键字：	IT技术栈选型；风险管理；风险识别；风险应对；战略决策
英文关键字：	IT Technology Stack Selection; Risk Management; Risk Identification; Risk Response; Strategic Decision-Making
中文摘要：	在信息化与数字化转型不断加速的背景下，IT技术栈选型已成为企业提升核心竞争力、推动战略落地与实现长期价值的重要环节。然而，IT技术栈选型过程本身充满复杂性和不确定性，企业往往面临人员、技术、管理、成本以及环境等多方面的风险。一旦缺乏有效的识别与控制机制，极易导致项目进度延误、实施成本增加甚至系统建设失败等多种问题。因此，如何科学识别、评估并应对技术栈选型中的风险，已成为企业亟待解决的实际问题。基于此，本文以JT公司IT技术栈选型项目为研究对象，系统分析其在选型过程中的风险特征与管理问题，旨在为JT公司构建科学的IT技术栈选型风险管理体系提供理论支撑与实践参考。 本文在系统梳理国内外相关研究成果的基础上，结合风险管理理论与IT治理框架，首先运用文献研究方法归纳出企业在信息系统选型过程中普遍面临的六类风险：人员风险、技术风险、管理风险、成本风险、环境风险和需求分风险。然后结合JT公司的实际情况，通过头脑风暴法与德尔菲法对其在IT技术栈选型中的风险因素进行系统梳理，并运用AHP层次分析法与FMEA失效模式及影响分析法对不同风险的发生概率和影响程度进行量化评估。在此基础上，构建了覆盖“风险识别—风险评估—风险应对—风险监控”的风险管理框架，并结合JT公司实际业务场景提出相应控制与优化措施。研究结论表明，企业在进行IT技术栈选型时，单纯依赖技术部门的评估或外部供应商的建议往往难以全面覆盖潜在风险，必须建立跨部门协同的决策机制，将技术、业务与战略目标有机结合。本文的创新点主要体现在三个方面：其一，提出了基于人员、技术、管理、成本、环境和需求六大维度的风险分类体系，弥补了以往研究中风险划分不够全面的问题；其二，结合头脑风暴法、德尔菲法与 AHP 方法，构建了一个量化评估与动态调整相结合的风险管理模型，增强了实践可操作性；其三，通过JT公司案例的深入研究，提炼出可复制的风险管理经验，既为JT公司未来的信息系统建设提供了实践指导，也为其他企业在IT技术栈选型中开展风险管理提供了参考与借鉴。整体而言，本研究在理论上拓展了IT风险管理在选型场景下的应用边界，在实践上为企业数字化战略实施提供了科学的决策支持。
英文摘要：	In the context of the accelerating digital and informational transformation, the selection of an IT technology stack has become a crucial step for enterprises to enhance core competitiveness, implement strategies, and achieve long-term value. However, the process of selecting an IT technology stack is fraught with complexity and uncertainty, as enterprises often face various risks related to personnel, technology, management, cost, and environment. Without effective mechanisms for risk identification and control, these risks can lead to project delays, increased implementation costs, and even system construction failures. Therefore, how to scientifically identify, assess, and address the risks in the technology stack selection process has become a pressing issue for enterprises. This thesis takes JT Corporation’s IT technology stack selection project as a case study, systematically analyzing the risk characteristics and management issues during the selection process. The aim is to provide theoretical support and practical references for JT Corporation in constructing a scientific risk management system for IT technology stack selection. Based on a comprehensive review of domestic and international research, and combining risk management theory and IT governance frameworks, this study first uses literature research methods to summarize six common types of risks faced by enterprises in the information system selection process: personnel risk, technology risk, management risk, cost risk, environmental risk, and demand risk. Then, based on JT Corporation’s actual situation, the study uses brainstorming and Delphi methods to systematically identify the risk factors in the IT technology stack selection process and applies AHP (Analytic Hierarchy Process) and FMEA (Failure Modes and Effects Analysis) to quantitatively assess the probability and impact of these risks. On this basis, a risk management framework covering “risk identification, risk assessment, risk response, and risk monitoring” is constructed. In conjunction with JT Corporation’s business scenario, corresponding control and optimization measures are proposed. The research concludes that when selecting an IT technology stack, relying solely on evaluations from the technical department or external suppliers often fails to comprehensively cover potential risks. Therefore, a cross-departmental collaborative decision-making mechanism must be established, integrating technology, business, and strategic goals. This thesis’s contributions are threefold: firstly, it proposes a risk classification system based on six dimensions—personnel, technology, management, cost, environment, and demand—filling the gap in previous research regarding comprehensive risk classification; secondly, it combines brainstorming, Delphi, and AHP methods to build a risk management model that integrates quantitative assessment with dynamic adjustment, enhancing practical operability; thirdly, through an in-depth study of JT Corporation’s case, it extracts replicable risk management experiences, providing practical guidance for JT Corporation’s future information system construction and offering reference and insights for other enterprises in managing risks during IT technology stack selection. Overall, this research expands the theoretical application of IT risk management in the selection scenario and provides scientific decision-making support for the implementation of enterprise digital strategies in practice.
查看全文：	预览  下载(下载需要进行登录)