Study on the system model of career decision making based on cognitive information processing

Author(s):  
Shuang Zhao ◽  
Caixia-Jiang
2016 ◽  
Vol 27 (1) ◽  
pp. 70-84 ◽  
Author(s):  
Julia F. Kronholz ◽  
Debra S. Osborn

This article presents a study with the purpose to determine preliminary findings regarding the effect of a study abroad experience on vocational identity and career decision-making as defined by Cognitive Information Processing (CIP) theory (Sampson et al., 2004). 


2017 ◽  
Vol 4 (1) ◽  
pp. 21-34
Author(s):  
Fatma Nur Aqmarina ◽  
Riana Sahrani ◽  
Rahmah Hastuti

Having graduated from senior high school, most of high school students continue their education to university level. This research aimed to find effectiveness of career counseling by using career information-processing model to assist career decision-making for students of MAN Y Jakarta. The career information-processing model emphasizes the mind and memory in the process of problem solving and career decision-making (Henderson, 2009). This research used quasi-experiment one group pre-test post-test design involving 7 participants who previously experienced the obstacle in career decision-making. The career counseling intervention was implemented in 9 sessions. Based on paired sample t-test (t=8.576, p<.01), result showed that career counseling intervention was effective to assist career counseling for students of MAN Y Jakarta. Thus, intervention in this study could serve as a model of intervention to assist students in career decision-making.


2014 ◽  
Vol 34 (1) ◽  
pp. 22-34 ◽  
Author(s):  
Emily Bullock-Yowell ◽  
Amy E. McConnell ◽  
Emily A. Schedin

The career concern differences between undecided and decided college students (N = 223) are examined. Undecided college students (n = 83) reported lower career decision-making self-efficacy, higher incidences of negative career thoughts, and more career decision-making difficulties than their decided peers (n = 143). Results reveal that undecided students are as ready to make a career-related decision as their decided counterparts but may lack or be receiving inconsistent career information. Academic advising implications include ways to more effectively serve these populations. Practical suggestions from social-cognitive career theory and the cognitive information-processing approach are provided.


2021 ◽  
pp. 106907272199931
Author(s):  
Brianna Werner ◽  
Emily Bullock-Yowell ◽  
Richard Mohn ◽  
Melanie Leuty ◽  
Eric Dahlen

The CASVE-Cycle Questionnaire (CASVE-CQ) was developed to assess career decision-making progress and operationalizes the Cognitive Information Processing Theory’s CASVE Cycle decision-making approach. Development occurred across three unique studies. In the pilot study’s college student sample ( N = 323) and initial adult sample ( N = 427), two exploratory factor analyses supported a theoretically consistent six-factor solution. A confirmatory factor analysis in the second adult sample ( N = 342) confirmed the factor structure, resulting in a 42-item measure with six subscales. A second-order factor analysis assessed the utility of a CASVE-CQ total score. Consistent with theory, this model did not converge, and a total score for the CASVE-CQ was not supported. Supporting the validity of the CASVE-CQ as a decision-making progress measure, greater decision-making activity in each phase/subscale was associated with lower career decision-making difficulties, stable vocational identity, and greater career commitment. Continued test development steps and theory, research, and practice implications, are discussed.


2020 ◽  
Vol 15 (3) ◽  
pp. 149-161
Author(s):  
Ariel Nian Gani ◽  
Muhammad Rofi’i ◽  
Ikhsan Maksum

The use of rational and intuitive information-processing systems is related to the entrepreneurial decision-making effectiveness. This study aims to comprehensively describe the literature that examines the effects of using rational and intuitive systems on entrepreneurial decision making. Leading literature databases are sought for studies published between 1995 and 2017 that evaluate rational and/or intuitive systems in relation to entrepreneurial decision making. We found ten empirical studies that met our inclusion criteria. There is some evidence from this research that the use of intuitive systems can positively influence entrepreneurial decision making in the early stages of entrepreneurship (e.g, opportunity identification). Other studies report mixed results regarding the impact of using rational and / or intuitive information processing systems for decision making at the next entrepreneurial stage (e.g, Exploitation of opportunities and financial performance). Based on the findings of this review, there are three further research opportunities, namely: (1) researchers must begin to learn about the ability of entrepreneurs to match their cognitive information processing systems with task characteristics; (2) assesses the effectiveness of decision making as the main outcome; and (3) study the construction of entrepreneurial behavior at the individual level in relation to the use of rational and intuitive information processing systems.


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