| Literature DB >> 35859843 |
Bin Liu1, Jing Zhu2, Fangguo Su3, Bin Wen4, Yingqi Wu5.
Abstract
The crisis anxiety of others is a phenomenon that goes hand in hand with the spread of the occupational health pandemic. It is becoming increasingly important to better understand its emergence process, especially in the era of greater uncertainty. This study aims to examine the impact of the external financial crisis on managerial stress among financial employees. The sample consists of 347 senior managers and financial employees from companies in China. The empirical analysis shows that external financial crises have significant effects on anxiety levels, especially external corporate crisis, debt crisis and growth crisis both have mediating effect on the relationship between anxiety level and pressure management and the relationship between external financial crisis and pressure management. This study explores the rules for the emergence of anxiety among corporate managers and expands the scope of environmental factors that need to be discussed in the study of corporate financial management. This study provides theoretical implications for the psychological study of Financial Management and practical implications for corporate financial management.Entities:
Keywords: management stress; occupational health; others' crisis anxiety; state anxiety; trait anxiety
Year: 2022 PMID: 35859843 PMCID: PMC9291433 DOI: 10.3389/fpsyg.2022.854746
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Figure 1Research framework.
Descriptive statistics.
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| Gender | Male | 180 | 51.87 |
| Female | 167 | 48.13 | |
| Educational background | High school and below | 21 | 6.06 |
| Junior college | 41 | 11.81 | |
| Undergraduate | 211 | 60.81 | |
| Postgraduate and above | 74 | 21.32 | |
| Age | Aged below 30 | 84 | 24.21 |
| Aged 31-45 | 175 | 50.43 | |
| Aged above 45 | 88 | 25.36 | |
| Career experiences | Less than 3 years | 20 | 5.76 |
| 3-5 years | 76 | 21.91 | |
| 5-10 years | 137 | 39.48 | |
| More than 10 years | 114 | 32.85 | |
| Corporate type | State-owned or collective enterprises | 93 | 26.80 |
| Private enterprises | 187 | 53.89 | |
| Foreign- funded enterprise (joint venture or sole proprietorship) | 67 | 19.31 | |
| Job post | Corporate senior mangers | 78 | 22.48 |
| Financial staff | 269 | 77.52 |
The data comes from a questionnaire survey of 347 financial personnel.
Confirmatory factor analysis.
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| OC | OC1 | 0.868 | 0.696 | 0.921 | 0.700 | |
| OC2 | 0.000 | 0.861 | 0.725 | |||
| OC3 | 0.000 | 0.785 | 0.584 | |||
| OC4 | 0.000 | 0.832 | 0.651 | |||
| OC5 | 0.000 | 0.836 | 0.637 | |||
| DC | DC1 | 0.778 | 0.552 | 0.906 | 0.660 | |
| DC2 | 0.000 | 0.833 | 0.646 | |||
| DC3 | 0.000 | 0.793 | 0.56 | |||
| DC4 | 0.000 | 0.844 | 0.642 | |||
| DC5 | 0.000 | 0.811 | 0.645 | |||
| GC | GC1 | 0.842 | 0.629 | 0.914 | 0.726 | |
| GC2 | 0.000 | 0.866 | 0.689 | |||
| GC3 | 0.000 | 0.829 | 0.598 | |||
| GC4 | 0.000 | 0.871 | 0.737 | |||
| SA | SA1 | 0.813 | 0.264 | 0.901 | 0.695 | |
| SA2 | 0.000 | 0.857 | 0.232 | |||
| SA3 | 0.000 | 0.851 | 0.193 | |||
| SA4 | 0.000 | 0.813 | 0.288 | |||
| FC | FC1 | 0.867 | 0.599 | 0.905 | 0.705 | |
| FC2 | 0.000 | 0.849 | 0.72 | |||
| FC3 | 0.000 | 0.823 | 0.632 | |||
| FC4 | 0.000 | 0.818 | 0.759 | |||
| MS | MS1 | 0.884 | 0.704 | 0.908 | 0.767 | |
| MS2 | 0.000 | 0.885 | 0.722 | |||
| MS3 | 0.000 | 0.858 | 0.695 |
The data comes from a questionnaire survey of 347 financial personnel and the items refer to existing measurement scales, such as STAI and SSAI. OC, operational crisis; DC, debut crisis; GC, growth crisis; SA, state anxiety; FC, financial warning capability; MS, management stress; and ***p < 0.001.
Discriminant validity.
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| OC | 3.78 | 1.06 |
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| DC | 3.89 | 1.004 | 0.251 |
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| GC | 3.84 | 1.022 | 0.103 | 0.163 |
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| SA | 3.75 | 1.106 | 0.305 | 0.270 | 0.235 |
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| FC | 3.71 | 1.059 | 0.158 | 0.228 | 0.235 | 0.271 |
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| MS | 3.66 | 1.103 | 0.199 | 0.290 | 0.279 | 0.278 | 0.274 |
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| AVE square root | 0.837 | 0.812 | 0.852 | 0.834 | 0.840 | 0.876 |
Significantly correlated at the 0.01 level (two-sided); the diagonal values (bold) are AVE (Average Variance Extracted). ***p < 0.001; **p < 0.01; *p < 0.05.
Figure 2Structure model.
Hypothesis testing.
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| SA | OC | 0.236 | 0.056 | 4.235 |
| 0.402 | 0.447 | Supported |
| DC | 0.237 | 0.058 | 4.083 |
| 0.365 | Supported | ||
| GC | 0.248 | 0.054 | 4.546 |
| 0.390 | Supported | ||
| MS | SA | 0.773 | 0.156 | 4.955 |
| 0.458 | 0.210 | Supported |
*p < 0.05; **p < 0.01;
p < 0.001.
Goodness-of-fit of the structural model.
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| Absolute fitting index | CMIN/DF | 1–3 | 1.469 | Ideal |
| GFI | >0.9 | 0.933 | Ideal | |
| RMSEA | <0.05 | 0.037 | Ideal | |
| Value-added fitting index | CFI | >0.9 | 0.98 | Ideal |
| IFI | >0.9 | 0.98 | Ideal | |
| TLI | >0.9 | 0.976 | Ideal | |
| Simple fitting index | PGFI | >0.5 | 0.719 | Ideal |
| PCFI | >0.5 | 0.831 | Ideal | |
| PNFI | >0.5 | 0.797 | Ideal |
Empirical testing of mediating effects.
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| Overall effect OC → MS | 0.402 | 0.120 | 3.350 | 0.001 | 0.119 | 0.425 | 0.117 | 0.423 |
| Indirect effect OC → SA → MS | 0.184 | 0.050 | 3.680 | 0.000 | 0.034 | 0.159 | 0.031 | 0.152 |
| Direct effect OC → MS | 0.218 | 0.120 | 1.817 | 0.069 | 0.020 | 0.191 | 0.020 | 0.190 |
| Overall effect DC → MS | 0.365 | 0.117 | 3.120 | 0.002 | 0.075 | 0.370 | 0.050 | 0.360 |
| Indirect effect DC → SA → MS | 0.167 | 0.055 | 3.036 | 0.002 | 0.022 | 0.138 | 0.018 | 0.130 |
| Direct effect DC → MS | 0.198 | 0.117 | 1.692 | 0.091 | 0.013 | 0.167 | 0.011 | 0.162 |
| Overall effect GC → MS | 0.390 | 0.114 | 3.421 | 0.001 | 0.085 | 0.379 | 0.078 | 0.373 |
| Indirect effect GC → SA → MS | 0.179 | 0.065 | 2.754 | 0.006 | 0.020 | 0.154 | 0.018 | 0.145 |
| Direct effect GC → MS | 0.211 | 0.114 | 1.851 | 0.064 | 0.015 | 0.171 | 0.013 | 0.168 |
Moderating effect testing.
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| SA → MS | 0.200 | 0.186 | 0.067 | 2.998 | 0.003 |
| FC → MS | 0.270 | 0.247 | 0.069 | 3.897 |
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| Int → MS | −0.052 | −0.370 | 0.056 | −0.921 | 0.037 |
Interaction term of SA and MS.
p < 0.001.
Figure 3Mediating role of financial warning capability.