| Literature DB >> 35645905 |
Qiang Liu1, Zhongwei Zhao2, Yiran Liu1, Yu Guo3, Yao He2, Hao Wang1.
Abstract
Based on the antecedent variable (playfulness personality) and the outcome variable (creative deviance) on the individual level, we introduce mediating variables (positive impression management motivation and harmonious innovation passion), integrate moderating variables (employee growth need strength and professional mission sense) to construct the conceptual model and theoretical framework of the influence mechanism of playfulness personality on creative deviance of employees. Based on the questionnaire survey data of employees in high-tech enterprises, this study adopts the nonparametric percentile Bootstrap method based on deviation correction to empirically discuss the influence mechanism of employee playfulness personality on employee creative deviance. The empirical analysis results show that employee playfulness personality has a significant positive influence on employee creative deviance. Positive impression management motivation and harmonious innovation passion partially mediate the relationships between employee playfulness personality and creative deviance. Employee growth need strength negatively moderates the relationships between positive impression management motivation and employee creative deviance. The stronger the employee growth need strength, the weaker the mediating effect of employees' playfulness personality on employee creative deviance through positive impression management motivation, and there is a moderated mediating effect.Entities:
Keywords: creative deviance; influence mechanism; management motivation; playfulness personality; positive impression management motivation
Year: 2022 PMID: 35645905 PMCID: PMC9130931 DOI: 10.3389/fpsyg.2022.821285
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Figure 1Conceptual model.
Statistical analysis results of questionnaire investigation data.
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| Respondents' enterprises | High-tech enterprises | 289 | 100.00% |
| Regions of the respondents' enterprises | Eastern China | 289 | 100.00% |
| Working fields of respondents | R&D and innovation | 289 | 100.00% |
| Ages of respondents | 20 years old to 30 years old | 89 | 30.80% |
| 30 years old to 40 years old | 100 | 34.60% | |
| 40 years old to 50 years old | 100 | 34.60% | |
| Genders of respondents | Male | 189 | 65.40% |
| Female | 100 | 34.60% | |
| Education backgrounds of respondents | College degree | 89 | 30.80% |
| Bachelor degree | 131 | 45.33% | |
| Graduate degree | 69 | 23.88% | |
| Working years of respondents | 5 years to 10 years | 58 | 20.07% |
| 10 years to 15 years | 131 | 45.33% | |
| Over 15 years | 100 | 34.60% | |
| Marriage of respondents | Married | 200 | 69.20% |
| Unmarried | 89 | 30.80% | |
| Ages of the respondents' enterprises | 5 years to 10 years | 74 | 25.61% |
| 10 years to 15 years | 103 | 35.64% | |
| Over 15 years | 112 | 38.75% | |
| Natures of the respondents' enterprises | State-owned enterprise | 71 | 24.57% |
| Private enterprise | 104 | 35.99% | |
| Foreign-funded enterprises | 114 | 39.45% | |
| Scale of the respondents' enterprises | Large enterprises | 101 | 34.95% |
| Medium-sized enterprises | 188 | 65.05% |
Abbreviation names of the variables.
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| Playfulness personality | PLAY |
| Positive impression management motivation | YXDJ |
| Employee growth need strength (employee GNS) | GNS |
| Creative deviance | CRDE |
| Harmonious innovation passion | CXJQ |
| Professional mission sense | SMG |
The scales and the corresponding items.
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| Playfulness personality | I am easily attracted to new jobs or activities. |
| When I feel stressed, I often do something fun to relax myself. | |
| When there is a self-breakthrough in my work, it often brings me great joy. | |
| I think I have a good performance at work | |
| At work, I can often maintain a happy mood and expression | |
| I have a way to make boring work fun. | |
| I think work is like having fun and learning from it. | |
| In the process of work, I will share some interesting things with my colleagues. | |
| Positive impression management motivation | I hope to make a good impression on leaders by putting forward new ideas and skills. |
| I hope to lay a good foundation for getting along with leaders in the future through positive performance. | |
| I hope to show my innovative ideas and views based on professional ability to leaders. | |
| I hope to get the attention of the leaders. | |
| I hope to be recognized and rewarded by the leaders. | |
| Employee GNS | I use my imagination and creativity at work. |
| I will consider all the important things in my work. | |
| I often exercise my ability to finish my work. | |
| I will create opportunities to learn new knowledge. | |
| I will seek for opportunities for personal growth and development. | |
| Creative deviance | I continue to improve some of the new ideas, although the new ideas do not receive my leader's approval. |
| In my work time, I often think about how to make the rejected ideas better. | |
| Although my leader asks me to stop developing some new ideas, I still work on these ideas. | |
| Besides working on ideas that are approved by my leader, I also exert effort in improving the rejected ideas by collecting information and trying again. | |
| I spend some of my work time in developing the ideas rejected by my leader. | |
| Up to this point, I still have not given up on some of the rejected ideas. | |
| I have improved some rejected ideas in my working hours. | |
| Although some ideas are stopped by the leader, I work on the improved versions of the ideas. | |
| Using some of my work time or resources, I keep on working on the rejected ideas. | |
| Harmonious innovation passion | Participating in innovation activities allows me to live a variety of experiences. |
| The new things that I discover in participating in innovation activities allow me to appreciate it even more. | |
| Participating in innovation activities allows me to have memorable experiences. | |
| Participating in innovation activities reflects the qualities I like about myself. | |
| Participating in innovation activities is in harmony with the other activities in my life. | |
| For me, participating in innovation activities is a passion that I still manage to control. | |
| I am completely taken with participating in innovation activities. | |
| Professional mission sense | I am convinced that I am called to this kind of work I am currently engaged in. |
| My work helps me achieve my life goal. | |
| I believe that the pressure in front of me can help me promote my career. | |
| The most important part of my career is to meet the needs of the works. | |
| I am attracted by something, which spurs me into my present work. | |
| In my career, changing other people's lives is my basic motivation. | |
| I see my career as a way to realize the meaning of life. | |
| My work has contributed to public wealth. | |
| My career is an important part of the meaning of my life. | |
| I often try to evaluate the benefits of my work to others. | |
| I have been doing my best in the present work, and achieve my belief. | |
| When I work, I try to make my career match the significance of life. |
Common method bias test results.
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| Single factor model | PLAY+YXDJ+GNS+CRDE+CXJQ+SMG | 4.328 | 0.790 | 0.607 | 0.093 |
| Two factors model | PLAY, YXDJ+CXJQ+GNS+SMG+ CRDE | 3.874 | 0.837 | 0.671 | 0.084 |
| Three factors model | PLAY, YXDJ+CXJQ+GNS+SMG, CRDE | 3.212 | 0.871 | 0.853 | 0.081 |
| Four factors model | PLAY, YXDJ+CXJQ, GNS+SMG, CRDE | 3.129 | 0.886 | 0.870 | 0.076 |
| Five factors model | PLAY, YXDJ, SMG, CXJQ+GNS, CRDE | 3.045 | 0.895 | 0.877 | 0.073 |
| Six factors model | PLAY, YXDJ, CXJQ, GNS, SMG, CRDE | 2.889 | 0.918 | 0.904 | 0.068 |
| Six factors model+ the latent factor of the common method | PLAY, YXDJ, CXJQ, GNS, SMG, CRDE, the latent factor of the common method | 2.738 | 0.927 | 0.909 | 0.058 |
Confirmatory factor analysis (structural validity test results).
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| PLAY | 0.680–0.851 | 0.047 | 0.929 | 0.901 |
| CRDE | 0.787–0.822 | 0.032 | 0.947 | 0.921 |
| CXJQ | 0.766–0.884 | 0.019 | 0.983 | 0.965 |
| YXDJ | 0.784–0.853 | 0.017 | 0.987 | 0.973 |
| SMG | 0.769–0.851 | 0.043 | 0.889 | 0.864 |
| GNS | 0.710–0.760 | 0.011 | 1.000 | 1.009 |
Test results of reliability and convergent validity.
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| PLAY | 0.923 | 0.906–0.920 | 0.670–0.814 | 0.937 | 0.651 |
| CRDE | 0.946 | 0.938–0.942 | 0.772–0.827 | 0.955 | 0.701 |
| CXJQ | 0.944 | 0.933–0.939 | 0.774–0.840 | 0.954 | 0.749 |
| YXDJ | 0.916 | 0.892–0.905 | 0.746–0.806 | 0.937 | 0.748 |
| SMG | 0.959 | 0.955–0.957 | 0.754–0.835 | 0.964 | 0.692 |
| GNS | 0.853 | 0.817–0.829 | 0.646–0.689 | 0.895 | 0.631 |
Test results of discriminant validity.
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| CRDE | 0.701 |
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| CXJQ | 0.749 | 0.674 |
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| GNS | 0.631 | 0.736 | 0.784 |
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| PLAY | 0.651 | 0.729 | 0.739 | 0.629 |
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| SMG | 0.692 | 0.616 | 0.403 | 0.443 | 0.404 |
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| YXDJ | 0.748 | 0.628 | 0.497 | 0.486 | 0.479 | 0.812 |
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Diagonal bold is .
Test results of discriminant validity based on structural equation modeling methods.
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| Single factor model | PLAY+YXDJ+GNS+CRDE+CXJQ+SMG | 4.328 | 0.790 | 0.607 | 0.093 |
| Two factors model | PLAY, YXDJ+CXJQ+GNS+SMG+ CRDE | 3.874 | 0.837 | 0.671 | 0.084 |
| Three factors model | PLAY, YXDJ+CXJQ+GNS+SMG, CRDE | 3.212 | 0.871 | 0.853 | 0.081 |
| Four factors model | PLAY, YXDJ+CXJQ, GNS+SMG, CRDE | 3.129 | 0.886 | 0.870 | 0.076 |
| Five factors model | PLAY, YXDJ, SMG, CXJQ+GNS, CRDE | 3.045 | 0.895 | 0.877 | 0.073 |
| Six factors model | PLAY, YXDJ, CXJQ, GNS, SMG, CRDE | 2.889 | 0.918 | 0.904 | 0.068 |
Main effect test results.
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| Main effect (PLAY → CRDE) | 0.720 | 0.051 | 14.196 | 0.000 | 0.614 | 0.815 |
Test results of mediating effects.
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| CRDE | PLAY | 0.424 | 0.071 | 5.950 | 0.000 | 0.271 | 0.552 |
| YXDJ | 0.385 | 0.046 | 8.386 | 0.000 | 0.299 | 0.479 | |
| CXJQ | 0.200 | 0.070 | 2.875 | 0.004 | 0.077 | 0.349 | |
| YXDJ | PLAY | 0.401 | 0.041 | 9.783 | 0.000 | 0.320 | 0.480 |
| CXJQ | PLAY | 0.709 | 0.043 | 16.650 | 0.000 | 0.621 | 0.789 |
Comparison results of mediating effects.
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| CXJQ mediating effect | 0.142 | 0.050 | 2.838 | 0.005 | 0.055 | 0.251 | 0.052 | 0.248 |
| YXDJ mediating effect | 0.154 | 0.025 | 6.095 | 0.000 | 0.111 | 0.210 | 0.108 | 0.206 |
| Total values of mediating effects | 0.296 | 0.049 | 6.083 | 0.000 | 0.208 | 0.399 | 0.206 | 0.396 |
| Difference values of mediating effects | 0.013 | 0.062 | 0.201 | 0.841 | −0.119 | 0.129 | −0.118 | 0.129 |
Test results of direct effect, indirect effect and total effect.
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| Total effects | 0.720 | 0.051 | 14.196 | 0.000 | 0.614 | 0.815 |
| Total indirect effects | 0.296 | 0.049 | 6.083 | 0.000 | 0.208 | 0.399 |
| Direct effects | 0.424 | 0.071 | 5.950 | 0.000 | 0.271 | 0.552 |
| PLAY → YXDJ → CRDE | 0.154 | 0.025 | 6.095 | 0.000 | 0.111 | 0.210 |
| PLAY → CXJQ → CRDE | 0.142 | 0.050 | 2.838 | 0.005 | 0.055 | 0.251 |
Test results of GNS moderating effect.
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| 0.8007 | 0.6411 | 0.4100 | 169.6935 | 3.0000 | 285.0000 | 0.0000 |
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| Constant | 4.5194 | 0.0417 | 108.4391 | 0.0000 | 4.4374 | 4.6014 |
| YXDJ | 0.4245 | 0.0476 | 8.9139 | 0.0000 | 0.3308 | 0.5182 |
| GNS | 0.6764 | 0.0507 | 13.3517 | 0.0000 | 0.5767 | 0.7762 |
| Int_1 | −0.1115 | 0.0475 | −2.3487 | 0.0195 | −0.2050 | −0.0181 |
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| YXDJ*GNS | 0.0069 | 5.5163 | 1.0000 | 285.0000 | 0.0195 | |
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| −1.0754 | 0.5444 | 0.0719 | 7.5698 | 0.0000 | 0.4029 | 0.6860 |
| −0.0754 | 0.4329 | 0.0480 | 9.0238 | 0.0000 | 0.3385 | 0.5273 |
| 0.7246 | 0.3437 | 0.0570 | 6.0282 | 0.0000 | 0.2315 | 0.4559 |
Level of confidence for all confidence intervals in output: 95%.
Test results of SMG moderating effect.
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| 0.7718 | 0.5956 | 0.4620 | 139.9419 | 3.0000 | 285.0000 | 0.0000 |
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| Constant | 4.5010 | 0.0428 | 105.2725 | 0.0000 | 4.4169 | 4.5852 |
| CXJQ | 0.5179 | 0.0423 | 12.2422 | 0.0000 | 0.4346 | 0.6012 |
| SMG | 0.4350 | 0.0437 | 9.9440 | 0.0000 | 0.3489 | 0.5211 |
| Int_1 | −0.0568 | 0.0366 | −1.5530 | 0.1215 | −0.1289 | 0.0152 |
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| CXJQ*SMG | 0.0034 | 2.4117 | 1.0000 | 285.0000 | 0.1215 | |
Level of confidence for all confidence intervals in output: 95%.
Figure 2Moderating and interaction effect figure.
The corresponding data of moderating and interaction effect figure.
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| Low GNS | 3.304 | 4.284 |
| High GNS | 4.701 | 5.320 |
The moderation mediating effect test results.
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| 0.4746 | 0.2252 | 0.6395 | 83.4186 | 1.0000 | 287.0000 | 0.0000 |
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| Constant | −1.4755 | 0.168 | −8.7692 | 0.0000 | −1.8067 | −1.1443 |
| PLAY | 0.4012 | 0.0439 | 9.1334 | 0.0000 | 0.3147 | 0.4876 |
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| 0.8469 | 0.7173 | 0.3242 | 180.1091 | 4.0000 | 284.0000 | 0.0000 |
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| Constant | 3.1932 | 0.1561 | 20.4567 | 0.0000 | 2.8859 | 3.5004 |
| PLAY | 0.3606 | 0.0412 | 8.746 | 0.0000 | 0.2794 | 0.4417 |
| YXDJ | 0.3273 | 0.0438 | 7.4757 | 0.0000 | 0.2411 | 0.4134 |
| GNS | 0.4470 | 0.0521 | 8.5741 | 0.0000 | 0.3444 | 0.5496 |
| Int_1 | −0.1112 | 0.0422 | −0.6335 | 0.0089 | −0.1943 | −0.0281 |
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| YXDJ*GNS | 0.0069 | 6.9355 | 1.0000 | 284.0000 | 0.0089 | |
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| −0.8596 | 0.4228 | 0.0585 | 7.2281 | 0.0000 | 0.3077 | 0.5380 |
| 0.0000 | 0.3273 | 0.0438 | 7.4757 | 0.0000 | 0.2411 | 0.4134 |
| 0.8596 | 0.2317 | 0.0552 | 4.1993 | 0.0000 | 0.1231 | 0.3403 |
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| 0.3606 | 0.0412 | 8.7463 | 0.0000 | 0.2794 | 0.4417 | |
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| −0.8596 | 0.1696 | 0.0306 | 0.1120 | 0.2311 | ||
| 0.0000 | 0.1313 | 0.0225 | 0.0909 | 0.1782 | ||
| 0.8596 | 0.0930 | 0.0216 | 0.0515 | 0.1366 | ||
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| GNS | −0.0446 | 0.0163 | −0.0780 | −0.0136 | ||
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| 0.1313 | 0.1696 | −0.0383 | 0.0140 | −0.0671 | −0.0117 | |
| 0.0930 | 0.1696 | −0.0767 | 0.0280 | −0.1342 | −0.0234 | |
| 0.0930 | 0.1313 | −0.0383 | 0.0140 | −0.0671 | −0.0117 | |
Level of confidence for all confidence intervals in output: 95%. Number of Bootstrap samples for percentile Bootstrap confidence intervals: 5000. GNS values in conditional tables are the mean and +/- SD from the mean.
Research hypothesis test results summary 1.
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| CRDE | PLAY | H1 | 0.720 | 0.051 | 0.000 | 0.614 | 0.815 | Support |
| YXDJ | PLAY | H5 | 0.401 | 0.041 | 0.000 | 0.320 | 0.480 | Support |
| CXJQ | PLAY | H2 | 0.709 | 0.043 | 0.000 | 0.621 | 0.789 | Support |
| CRDE | PLAY | 0.424 | 0.071 | 0.000 | 0.271 | 0.552 | Support | |
| YXDJ | H6 | 0.385 | 0.046 | 0.000 | 0.299 | 0.479 | Support | |
| CXJQ | H3 | 0.200 | 0.070 | 0.004 | 0.077 | 0.349 | Support |
Research hypothesis test results summary 2.
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| Indirect mediating effect PLAY → YXDJ → CRDE | H7 | 0.154 | 0.025 | 0.000 | 0.111 | 0.210 | Support |
| Indirect mediating effect PLAY → CXJQ → CRDE | H4 | 0.142 | 0.050 | 0.005 | 0.055 | 0.251 | Support |
| Moderating effect of GNS | H9 | −0.1115 | 0.0475 | 0.0195 | −0.2050 | −0.0181 | Support |
| Moderating effect of SMG | H8 | −0.0568 | 0.0366 | 0.1215 | −0.1289 | 0.0152 | Nonsupport |
| The moderated mediating effect (GNS) | H11 | −0.0446 | 0.0163 | −0.078 | −0.0136 | Support | |
| The moderated mediating effect (SMG) | H10 | Nonsupport |