Distributional characteristics and influencing factors of tolerance threshold of commuting time for car users

Objective: We examined the impact of teleworking frequency, including influencing factors and work functioning impairment. Methods: This online cross-sectional study was conducted using a self-administered questionnaire among 27,036 full-time Japanese workers. We used the Work Functioning Impairment Scale to measure work functioning impairment and performed multilevel logistic regression analysis. Results: We observed higher odds for work functioning impairment among employees who teleworked 4 or more days a week compared with those almost never teleworked: odds ratio (OR) 1.18, 95% confidence interval (CI) 1.07-1.3. After adjusting for influencing factors (teleworking preference, changes in working time, and commuting time), there was no significant association between teleworking frequency and work functioning impairment (OR 0.93, 95% CI 0.82-1.05). Conclusions: Frequent telework may cause work functioning impairment; this can be explained by the impact of influencing factors.

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POSSIBLE INFLUENCING FACTORS OF BOWEL CLEANLINESS DURING COLONOSCOPY

10.1055/s-0038-1637582 ◽

2018 ◽

Author(s):

I Iozsef ◽

O Ilyés ◽

P Miheller ◽

AV Patai

Keyword(s):

Influencing Factors

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Reliability-Based Assessment of the Truck Safe Following Distance Considering Multiple Influencing Factors

CICTP 2017 ◽

10.1061/9780784480915.495 ◽

2018 ◽

Author(s):

Bowen Dong ◽

Wenjun Du ◽

Feng Chen ◽

Qi Deng ◽

Xiaodong Pan

Keyword(s):

Influencing Factors

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Influencing Factors on Recruitment and Retention of Women in Construction Education: A Literature Review

Construction Research Congress 2020 ◽

10.1061/9780784482872.078 ◽

2020 ◽

Author(s):

Amy King Lewis ◽

Yongwei Shan

Keyword(s):

Literature Review ◽

Influencing Factors ◽

Recruitment And Retention ◽

Construction Education

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A Comparative Study on the Influencing Factors of Continuous Use Intention of Korean and Chinese SNS Users: Focused on the Technology Readiness and Acceptance Model

The Institute of Management and Economy Research ◽

10.32599/apjb.9.4.201812.181 ◽

2018 ◽

Vol 9 (4) ◽

pp. 181-199

Author(s):

Sung-Joon Yoon ◽

Jong-Chul Oh

Keyword(s):

Comparative Study ◽

Influencing Factors ◽

Technology Readiness ◽

Acceptance Model ◽

Continuous Use

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Entrepreneurial Mindset

Conference Proceedings of the Academy for Design Innovation Management ◽

10.33114/adim.2019.03.312 ◽

2019 ◽

Vol 2 (1) ◽

Author(s):

Nusa FAIN ◽

Michel ROD ◽

Erik BOHEMIA

Keyword(s):

Influencing Factors ◽

Future Study ◽

Engineering Students ◽

Initial Study ◽

Longitudinal Survey ◽

Teaching Approaches ◽

Approaches To Teaching ◽

Design Students ◽

Commerce Students ◽

Case Based

This paper explores the influence of teaching approaches on entrepreneurial mindset of commerce, design and engineering students across 3 universities. The research presented in this paper is an initial study within a larger project looking into building ‘entrepreneurial mindsets’ of students, and how this might be influenced by their disciplinary studies. The longitudinal survey will measure the entrepreneurial mindset of students at the start of a course and at the end. Three different approaches to teaching the courses were employed – lecture and case based, blended online and class based and fully project-based course. The entrepreneurial mindset growth was surprisingly strongest within the engineering cohort, but was closely followed by the commerce students, whereas the design students were slightly more conservative in their assessments. Future study will focus on establishing what other influencing factors beyond the teaching approaches may relate to the observed change.

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