过程(计算)
背景(考古学)
管理科学
心理学
决策场理论
商业决策图
决策
R型铸件
概念模型
决策工程
对偶(语法数字)
决策分析
知识管理
社会心理学
计算机科学
决策支持系统
人工智能
数学
经济
运营管理
艺术
古生物学
统计
文学类
采购
数据库
生物
操作系统
标识
DOI:10.1177/10690727231161378
摘要
The dual-process theory of career decision-making (DTC; Xu, 2021a ; 2021b ) resulted from a synthesized and critical reflection of career decision-making and related models in the contemporary psychosocial context of career development. The DTC features persistent decision uncertainty as a salient condition of contemporary career decision-making, and its theoretical framework and predictive model establish DTC’s conceptual and empirical foundation, respectively. However, the DTC and the career decision-making literature in general still lack a process-oriented prescriptive model that foregrounds decision uncertainty. Consequently, the extant literature fails to prescribe key decision-making components and procedures under decision uncertainty. Thus, drawing on the DTC, decision-making science, and existing models of career decision-making, we propose a four-stage process model, which involves four interlinked macro stages and micro steps within each stage. The model also involves five propositions to explain and predict the effects of important personal and environmental factors on the process and outcomes of each stage. We describe the DTC process model and use a case example to illustrate how the model can be applied in practice. Together, the DTC’s theoretical framework, predictive model, and process-oriented prescriptive model constitute a comprehensive theory regarding dynamic career decision-making and adaption in an uncertain world and offer diverse research and practical implications.
科研通智能强力驱动
Strongly Powered by AbleSci AI