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Tak Wing Yiu and Hung Kei Lee

How Do Personality Traits Affect Construction Dispute Negotiation? Study of Big Five Personality Model. Tak Wing Yiu and Hung Kei Lee. 5. 6. 4. 1. 2. 3. Contributions to Theory and Practice. Introduction. Data Collection. Results and Discussions. Data Set. Data Analysis. Abstract.

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Tak Wing Yiu and Hung Kei Lee

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  1. How Do Personality Traits Affect Construction DisputeNegotiation? Study of Big Five Personality Model Tak Wing Yiu and Hung Kei Lee

  2. 5 6 4 1 2 3 Contributions to Theory and Practice Introduction Data Collection Results and Discussions Data Set Data Analysis Abstract

  3. Abstract • 本文主要研究在工程争端谈判中,个人特质(personality traits)如何影响谈判行为和谈判结果。采用多元调节回归(mode-rated multiple regression )方法,个人特质为调节变量,选取了16个具有显著调节效应的模型。并且确定了5个调节效应最强的模型。 • 采用调查问卷的方法,用五大性格模型来衡量谈判人员的个人特质。 • 外向、率直、责任心显著影响,精确定义 • 研究结果指出哪一类型的个人特质可以帮助改善谈判结果并且优化工程争端谈判的整体绩效。

  4. Introduction • 先前的研究显示一个具有情感定位的个人特质可以对谈判结果起到积极的作用。因为(1)它帮助谈判者理解另一方的利益;(2)它帮助谈判者设计他们的谈判策略。 • 本文通过研究可得(1)识别谈判者个人特质的不同与谈判行为的决定因素;(2)帮助研究工程谈判的谈判力;(3)促进研究工程争端谈判中的行为变化。 • 主要研究(1) 个人特质;(2) 谈判行为的类型;(3)工程争端谈判中典型的谈判结果。

  5. Introduction

  6. Data Collection • 问卷分为四部分: • 回答者的背景资料、详细资料(项目性质、合同金额、涉及的谈判方) • 个人特质 • 谈判行为 • 谈判结果 • 1.个人特质 • 五大性格模型 • (1) openness;率直 • (2) conscientiousness; 负责任 • (3) extraversion;外向 • (4) agreeableness;亲和性 (5) neuroticism .神经质

  7. Data Collection

  8. Data Collection • 2.谈判行为和谈判结果 • 分层随机抽样 • 从香港的Development Bureau and the Architectural Services Department的网页获取建筑公司和咨询公司列表。 • 58个承包商 • 18个建筑咨询公司 • 9个工料测量咨询公司(quantity surveying consultants) • 5个私人开发商 • 2个政府部门

  9. Data Set • 发放200份问卷,其中80份是完整的 • 47.50%是咨询公司 • 43.75%是承包商 • 5.00%是私人开发商 • 3.75%是政府部门 • 数据的信度与数据来源有关,与完成调查问卷的人员的职位有关。 • 此次调查中,一半以上的被调查者有至少5年的工程谈判经验。

  10. Data Analysis • 求平均值 • 对谈判行为和谈判结果各自的影响因子进行分析其相关性,采用主成分因子分析法,总结数据进行进一步的分析。

  11. Moderating Effects of Personality Traits Y=因变量;X和Z=自变量;XZ=调节效应;b=未知常数 • 分析每个MMR模型 • (1)检验个人特质存在调节效应; • (2)评估个人特质调节效应的强度; • (3)说明个人特质调节效应的本质。

  12. Results and Discussions

  13. Results and Discussions

  14. Results and Discussions • 多元调节回归 • 谈判行为作为预测变量 • 谈判结果作为判断准则 • 个人特质作为调节变量 • 100 (5 × 4 × 5) MMR models • devised from the five-, four-, and five-factor scales for negotiating behaviors, negotiation outcomes, and personality traits, respectively

  15. Results and Discussions • 检验存在调节效应 • 在统计回归分析中,检验变量的调节效应意味着检验调节变量和自变量的交互效应是否显著。 • 检验调节效应看各组回归方程的相关系数R2

  16. Results and Discussions • 评估调节效应的强度 • Among the 16 significant MMR models, Model 3 yielded the largest ΔR² of 0.286, which accounts for 28.6% of the variance in predicting negotia-tion outcomes. • 模型3, 13, 12, 9和8 是调节效应最强的五个模型 • These top five MMR models were used to examine the natures of the moderating effects.

  17. Results and Discussions • 说明调节效应的本质 • 检验b3。It represents the number of units that the slope of Y (i.e., negotiation outcomes) on X (i.e., negotiating behaviors) changes, given a one-unit change in Z (i.e., personality traits)

  18. Results and Discussions

  19. Contributions to Theory and Practice • First, this study provides an in-depth analysis of how per-sonality traits affect negotiating behaviors and negotiation outcomes in construction dispute negotiation.首先,研究提出一个深入的分析方法,在工程争端谈判中个人特质是如何影响谈判行为和谈判结果的。 • Second, this study introduced the Big Five Personality Model that offers a unique tool to measure five major per-sonality traits in construction dispute negotiation. This helps theorize the role of personality on negotiation and make widespread interpretation of research findings.其次,研究引入了五大性格模型,为衡量工程争端谈判中五种主要的个人特质提供了工具。这有助于使谈判中的个性角色理论化,对研究结果进行广泛的解释。

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