Thriving or surviving at work: how workplace learning opportunities and subjective career success are connected with job satisfaction and turnover intention?

Abstract

Purpose The purpose of this study is to better understand factors related to turnover intention (TI) and job satisfaction (JS) in the information technology and engineering sectors. Specifically, this study investigates the role of workplace learning opportunities (WLO) afforded by the environment and individual’s subjective career success (SCS). The connections between learning opportunities and career success are examined, as well as their connections to JS and TI. Design/methodology/approach The current research was based on self-report questionnaire data (N = 153). The questionnaire included existing instruments measuring WLO, SCS, JS and TI. The analyses of the data included Pearson product-moment correlations, path analysis (based on multiple regression) and analysis of relative importance (dominance analysis). Findings Results indicated that higher access to resources that support learning, more opportunities for professional growth and satisfactory career decisions made by employees were connected to lower TI. The processes of well-being and learning are strongly intertwined and mutually reinforce each other, reducing the willingness to change a job in the near future. Originality/value This study adds to the previous research by providing more detailed knowledge on the connections between the various dimensions of WLO and SCS. The findings of the present study can offer insights for developing work environments where employees wish to remain, learn and are satisfied with their job and careers, thus ultimately supporting their well-being.

Career Decisions and Opportunity Recognition as The Predictors of Entrepreneurial Intention

“…In the same manner, universities are predictable to offer opportunities for career choice and support in handling an entrepreneurial career path. Moreover, the investigation exerted a significant positive effect of ORN on EIN, which is also reinforced by several scholars like Jarvis (2016), Hassan et al (2020), Lehtonen et al (2022) and Lim et al (2023) who confirmed the ORN as the substantial predictor of EIN. These positive connections reflect that students developed their EIN through ORN to pursue their career opportunities in entrepreneurship.…”

“…The earlier career plans of university students are expressively connected to their employability and future career development (Akoğlan & Dalkıranoğlu, 2013). The career decision method is an excellent path to nurturing youth's ambition for the opportunity (Lent & Brown, 2020;Lehtonen et al, 2022;Xu & Flores, 2023). The programs on entrepreneurship were more likely to involve an entrepreneurial activity with potential impacts on career decisions on EIN (Duong et al, 2023).…”

Development and Validation of a New Measure of Work Annoyance Using a Psychometric Network Approach

“…This is commonly considered a positive job characteristic which, differently from decision authority, is negatively associated with burnout [ 19 ]. Workplace learning opportunities and the use of cognitive abilities such as problem solving have been found to be associated with higher job satisfaction and well-being [ 20 , 21 ], but, as argued by Viotti and Converso [ 22 ], they are activities that require the use of resources and energies that might be considered by some workers more of a nuisance than a resource, differently from job autonomy and social support. This could also explain why some studies found a positive, and not a negative, association between skill discretion and job demands [ 23 , 24 , 25 ].…”

Boundaries for career success? How work–home integration and perceived supervisor expectation affect careers

“…Responding to calls to examine the individual dimensions of the measure by Smale et al (2019), we help to investigate the nomological network of subjective career success and whether the effect of work–home integration on subjective career success is consistent across these eight dimensions of success. With this, we build on previous research (Haenggli & Hirschi, 2020; Lehtonen et al, 2022) that investigated the relevance of career resources for the dimensions of subjective career success and their consequences, respectively.…”