Linkages between creativity and intention to quit: an occupational study of chefs.
By Richard N. S. Robinson, Lisa G. A. Beesley. 2010
129 citations recorded by the source corpus.
Subfields: Experimental and Cognitive Psychology, Sociology and Political Science, Tourism, Leisure and Hospitality Management
View Paper: https://www.semanticscholar.org/paper/e9aed83b05afdc162158ab5c931ed4defb978bb1
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In Experimental and Cognitive Psychology
In Sociology and Political Science
- Kavitha Haldorai
- Taesu Park
- Woo Gon Kim
- Souji Gopalakrishna Pillai
- Kandappan Balasubramanian
- Chung-Jen Wang
In Tourism, Leisure and Hospitality Management
Citations in the corpus
- Thinking job embeddedness not turnover: Towards a better understanding of frontline hotel worker retention (2014, unknown): “The evidence is that the intrinsic rewards offered, such as autonomy (Yang, 2010) and creativity (Robinson & Beesley, 2010) are more likely to engender organizational commitment for hospitality employees.”
- Linking transformational leadership and employee creativity in the hospitality industry: the influences of creative role identity, creative self-efficacy, and job complexity. (2014, background): “…the antecedents of employee creativity, which is required to generate novel ideas for new products, services and process, especially in the field of hospitality research (Amabile, Barsade, Mueller, & Staw, 2005; Horng & Lee, 2009; Robinson & Beesley, 2010; Wong & Ladkin, 2008; Wong & Pang, 2003).”
- Transformational Leadership, Innovation Climate, Creative Self-Efficacy and Employee Creativity: A Multilevel Study (2015, unknown): “Innovation and creativity are intrinsically linked (Robinson and Beesley, 2010), where creativity is the emergence of new ideas (Beesley and Cooper, 2008), innovation requires the implementation of those creative ideas (Robinson and Beesley, 2010).”
- Factors affecting hotel employees’ attrition and turnover: Application of pull-push-mooring framework (2019, methodology): “The researches utilized SmartPLS version 3 (Ringle et al., 2015) to analyze the data because it matches the researchers’ prediction-oriented objective.”