【摘要】：在經(jīng)濟高速發(fā)展的當今社會，不少國人感嘆人性在倒退，人性問題也是管理學最基礎的問題，忽略了管理學的人性觀問題，往往會給人以舍本逐末的感覺。古今中外對人性善惡的問題從未間斷過，然而，“善”究竟是什么？至今沒有一個統(tǒng)一的評價標準。對組織管理實踐中人力資源問題的研究應該回歸到管理學的人性觀問題上來，應該建立在煥發(fā)人性中良知的基礎上進行人力資源管理，而前提必須是先厘清“善”的可操作性定義，其內(nèi)部的結構維度是什么。 本文在文獻回顧的基礎上，通過深度訪談的方式搜集資料，運用扎根理論的方法，經(jīng)過開放式編碼、關聯(lián)式編碼、選擇式編碼將資料現(xiàn)象層層抽象與歸納，構建了個體善的結構維度理論模型，即個體善的結構維度模型是一個多維的層級模型，可以分為認知善、情感善、意志善、行為善四個維度，，各個維度之下都包含對應的子維度要素，包括全局觀、客觀公正、價值判斷、包容心、愛心、重感情、責任心、內(nèi)心法則、自我控制、利他行為、互惠行為11種類別，共40種善的具體成分。在此基礎上，結合定性分析中各范疇概念的內(nèi)涵與參考點開發(fā)了善的測量量表。隨后，通過問卷預測試，運用SPSS19.0軟件包對來自不同企業(yè)性質(zhì)的員工調(diào)查得到的123份小樣本數(shù)據(jù)進行統(tǒng)計分析，對指標體系進行了修改并形成了正式的調(diào)查問卷。然后進行了大樣本問卷調(diào)查與分析，分別利用SPSS19.0和Amos17.0軟件包對416份樣本數(shù)據(jù)進行探索性因子分析和驗證性因子分析，得出當代中國人心目中的“善”由認知善、情感善、意志善、行為善四個維度構成，從而用定量分析的方法對定性研究得出的理論模型進行了驗證。 最后，本文在對上述研究作出總結的同時分析了研究中存在的局限性以及后續(xù)的方向和思路。本文構建的善的四維模型及相應量表，對后續(xù)研究有一定的借鑒意義，同時，指出未來需進一步深入研究情境因素對個體善內(nèi)在意識的外在顯現(xiàn)程度的影響，以及考慮不同層次的善與個體善之間的跨層作用機制。
[Abstract]:In today's society with rapid economic development, many people lament that human nature is regressing, and human nature is also the most basic problem in management. Ignoring the concept of human nature in management often gives people a sense of giving up their own business. The question of good and evil of human nature has never stopped, but what is "good"? Up to now, there is no uniform evaluation standard. The study of human resources in the practice of organizational management should be returned to the human nature view of management, and human resource management should be established on the basis of coruscating conscience in human nature. The premise must be to clarify the operational definition of "good" and what the internal structural dimension is. On the basis of literature review, this paper collects data through in-depth interviews, uses the method of rooted theory, abstracts and induces the phenomenon of data layer by layer through open coding, associative coding and selective coding. A theoretical model of the structural dimension of individual goodness is constructed, that is, the structural dimension model of individual goodness is a multi-dimensional hierarchical model, which can be divided into four dimensions: cognition, emotion, will and behavior. Each dimension contains corresponding sub-dimension elements, including global view, objective justice, value judgment, tolerance, love, affection, responsibility, inner law, self-control, altruistic behavior, and reciprocal behavior. There are 40 specific components of good. On this basis, combining with the connotation and reference point of each category concept in qualitative analysis, a good measurement scale is developed. Then, by using SPSS19.0 software package, 123 small sample data collected from different enterprises were statistically analyzed, and the index system was revised and a formal questionnaire was formed. Then, a large sample questionnaire survey and analysis are carried out, and the exploratory factor analysis and confirmatory factor analysis of 416 sample data are carried out by using SPSS19.0 and Amos17.0 software, respectively, and it is concluded that the "good" in the eyes of contemporary Chinese is "good" by cognition. There are four dimensions of emotion goodness, will goodness and behavior goodness, so the theoretical model of qualitative research is verified by quantitative analysis. Finally, this paper summarizes the above research and analyzes the limitations of the research, as well as the future direction and ideas. The four-dimensional model and the corresponding scale of goodness constructed in this paper can be used for reference in the follow-up study. At the same time, it is pointed out that it is necessary to further study the influence of situational factors on the external manifestation of the internal consciousness of the individual goodness in the future. And to consider the different levels of good and individual good between the cross-layer mechanism.
【學位授予單位】：重慶大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：F272.92;C912.6

【引證文獻】

相關碩士學位論文 前2條

1 桂宇杉;本土搖滾亞文化群體認同的質(zhì)性研究[D];云南師范大學;2016年

2 徐菲;人際冷漠維度探索[D];云南師范大學;2016年

本文編號：2313719