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高速公路標段團隊知識學習影響因素的提煉與路徑參數(shù)分析

發(fā)布時間:2018-09-01 08:39
【摘要】:社會和經(jīng)濟發(fā)展的需要對于高速公路建設(shè)項目的建設(shè)規(guī)模、建設(shè)內(nèi)容等提出了更高的要求,其建設(shè)的高難度性及復雜性要求高速公路建設(shè)項目團隊具備更高的建設(shè)水平。高速公路標段團隊作為專業(yè)團隊的聚合性團隊,是高速公路建設(shè)的主體團隊,該團隊知識學習的演化形態(tài)以及其對知識學習過程的掌握程度至關(guān)重要,是團隊建設(shè)水平的重要體現(xiàn)。然而標段團隊相對于企業(yè)團隊成員結(jié)構(gòu)更加復雜,團隊知識學習受眾多因素影響,各因素的影響程度不同,影響路徑也具有多樣性。因此對高速公路標段團隊的知識學習及其影響因素進行研究就變得尤為重要。 本文首先界定了高速公路標段團隊的涵義,,結(jié)合其團隊特點分析了其團隊知識學習的特征,并從高速公路標段團隊知識學習過程出發(fā)研究了標段團隊知識學習的演化形態(tài)及其漸進、重構(gòu)的兩種模式。本文采用扎根理論的研究方法,通過開放性編碼、關(guān)聯(lián)性編碼及選擇性編碼三個關(guān)鍵程序提煉出影響標段團隊知識學習的因素,包括知識主體學習能力、知識學習激勵方式、知識學習途徑和知識學習環(huán)境等四個方面,針對這四個方面的因素分析了它們對標段團隊知識學習過程的影響作用;诮Y(jié)構(gòu)方程模型的基礎(chǔ)上建立了標段團隊知識學習影響因素路徑參數(shù)分析的指標體系,并設(shè)計了用于收集模型數(shù)據(jù)的題項量表問卷,構(gòu)建了標段團隊知識學習影響因素的結(jié)構(gòu)方程模型。結(jié)合案例的運用,通過驗證性因素分析以及模型估計、評價等步驟得到標段團隊知識學習影響因素的路徑關(guān)系及路徑參數(shù),針對該路徑參數(shù)的分析結(jié)果給出了促進該標段團隊知識學習的對策與建議。 本文的研究是將知識學習過程與知識演化相結(jié)合,對高速公路標段團隊知識學習的影響因素進行了提煉,并通過結(jié)構(gòu)方程模型的運用對其路徑參數(shù)進行了分析,是對項目團隊知識管理研究領(lǐng)域的視角拓展,對高速公路標段團隊和其他項目團隊知識學習效果的提高及團隊知識學習的演化進程推進提供了一定的參考作用。
[Abstract]:The needs of social and economic development put forward higher requirements for the construction scale and content of expressway construction projects, and the high difficulty and complexity of the construction require the expressway construction project teams to have a higher level of construction. As the collective team of the professional team, the expressway segment team is the main team of highway construction. The evolutionary form of knowledge learning and its mastery of the process of knowledge learning are very important. It is an important embodiment of the level of team building. However, compared with the member structure of enterprise team, segment team is more complex, team knowledge learning is affected by many factors, the influence degree of each factor is different, and the influence path is also diverse. So it is very important to study the knowledge learning and its influencing factors. This paper first defines the meaning of the expressway segment team, and analyzes the characteristics of its team knowledge learning combined with the characteristics of its team. Based on the knowledge learning process of expressway segment team, this paper studies the evolution of segment team knowledge learning and its two models of gradual and reconstruction. In this paper, through three key programs, open coding, association coding and selective coding, the factors that affect the knowledge learning of segment teams are extracted, including the learning ability of knowledge subject and the motivation mode of knowledge learning. According to the four aspects of knowledge learning approach and knowledge learning environment, this paper analyzes the influence of these four factors on the process of knowledge learning of segment teams. Based on the structural equation model, an index system of path parameter analysis of influencing factors of segment team knowledge learning was established, and a questionnaire was designed to collect model data. The structural equation model of influencing factors of segment team knowledge learning is constructed. Combined with the application of the case, the path relationship and path parameters of the influencing factors of segment team knowledge learning are obtained through confirmatory factor analysis, model estimation, evaluation and so on. According to the analysis results of the path parameters, the countermeasures and suggestions to promote the knowledge learning of the segment team are given. In this paper, the knowledge learning process and knowledge evolution are combined, and the influencing factors of expressway team knowledge learning are refined, and the path parameters are analyzed through the application of structural equation model. It is an extension to the research field of project team knowledge management and provides a certain reference for improving the effect of knowledge learning and the evolutionary process of team knowledge learning for highway segment teams and other project teams.
【學位授予單位】:長沙理工大學
【學位級別】:碩士
【學位授予年份】:2013
【分類號】:F542;F224

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