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This study investigates the antecedents of career initiative, a proactive behavior, whereby individuals engage in activities to promote their career development. The authors first argue that organizational tenure – the length of time employed within a specific organization – will exhibit a curvilinear or inverted-U-shaped relationship with career initiative. In the early years of an employment relationship, career initiative gradually increases as employees overcome the initial challenges of joining a new organization. However, career initiative will plateau and eventually decline as employees struggle to envision further development.

This study uses a survey design with data collected from the North American operations of a large global telecommunications company.

This study identifies two key mechanisms, both concerning relational context, that drive the curvilinear relationship between organizational tenure and career initiative: mentoring and barriers to networking. Specifically, increased mentoring and reduced barriers to networking both significantly weaken the curvilinear effect.

The results suggest that organizations can promote proactive behaviors through employee mentoring and by removing network barriers, particularly for those most at risk for reduced career initiative: early- and especially later-tenure employees.

Career initiative is a valued behavior among employees, but individual-level phenomena can be fostered, or inhibited, by relational context. So, while some scholars have found a trend toward “boundaryless” careers, this study reveals the importance of considering how the boundaries and social context within organizations can create an environment in which employee proactivity can flourish.

The current study is to examine the association between cognitive abilities and financial resilience among millennial single parents. This study examines the role of cognitive abilities on financial resilience after controlling for key demographic variables – gender, age, university degree, employment status and staying with parents.

Using the ordered logit regression approach, the authors analyzed results for 395 single parents (237 single mothers and 159 single fathers) aged 31 to 40 in India. Financial resilience is measured using economic resources, financial resources, financial knowledge and behavior, and social capital. The authors further provide several robustness tests to validate their findings. The results are controlled for state-fixed effects.

The authors find a significant impact of single parents' cognitive abilities on their financial resilience. This study also found that gender, age, university degree, employment status and staying with parents influence single parents' financial resilience. Single mothers are found to have higher levels of both cognitive abilities and financial resilience scores than single fathers.

Financial institutions, marketers and financial advisors can find innovative ways to increase the financial resilience of single parents by improving their cognitive ability. Also, policymakers should focus on interventions to increase single parents' education level to increase their financial resilience and provide policy support to those without any parental support system.

This study extends the literature on financial resilience in two directions – by establishing a relationship between cognitive abilities and financial resilience and studying the financial resilience of a vulnerable societal section-millennial single parents. The study also extends the literature on single parents' financial vulnerability by establishing a relationship between key demographic variables and their financial resilience.

This study seeks to examine the effect of work-related boredom and a perceived lack of external stimulation on benevolent and entitled employees' perceived inequity and discretionary workplace behaviors.

A total of 668 useable three-wave panel data were obtained via Amazon Mechanical Turk during a three-month period. The hypothesized model was tested using a latent growth curve modeling via EQS 6.4 for Windows.

This study finds the following results. First, benevolent employees who experience higher initial work-related boredom report positive inequity. Second, entitled employees who experience higher initial work-related boredom and a perceived lack of external stimulation report negative inequity. Third, increases in work-related boredom and a perceived lack of external stimulation result in a faster increase in entitled employees' perceived negative inequity. Fourth, entitled employees who perceive higher negative inequity at the initial measurement period report higher interpersonal deviance. Finally, increases in entitled employees' perceived negative inequity result in a faster increase in interpersonal deviance.

This study highlights how employees may assess their effort and rewards when experiencing boredom. This study also offers some practical recommendations that help human resource managers manage boredom in the organization effectively.

Amidst the turbulent tides of geopolitical uncertainty and pandemic-induced economic disruptions, the information technology industry grapples with alarming attrition and aggravating talent gaps, spurring a surge in demand for specialized digital proficiencies. Leveraging this imperative, firms seek to attract and retain top-tier talent through generous compensation packages. This study introduces a holistic, integrated theoretical framework integrating machine learning models to develop a compensation model, interrogating the multifaceted factors that shape pay determination.

Drawing upon a stratified sample of 2488 observations, this study determines whether compensation can be accurately predicted via constructs derived from the integrated theoretical framework, employing various cutting-edge machine learning models. This study culminates in discovering a random forest model, exhibiting 99.6% accuracy and 0.08° mean absolute error, following a series of comprehensive robustness checks.

The empirical findings of this study have revealed critical determinants of compensation, including but not limited to experience level, educational background, and specialized skill-set. The research also elucidates that gender does not play a role in pay disparity, while company size and type hold no consequential sway over individual compensation determination.

The research underscores the importance of equitable compensation to foster technological innovation and encourage the retention of top talent, emphasizing the significance of human capital. Furthermore, the model presented in this study empowers individuals to negotiate their compensation more effectively and supports enterprises in crafting targeted compensation strategies, thereby facilitating sustainable economic growth and helping to attain various Sustainable Development Goals.

The cardinal contribution of this research lies in the inception of an inclusive theoretical framework that persuasively explicates the intricacies of a machine learning-driven remuneration model, ennobled by the synthesis of diverse management theories to capture the complexity of compensation determination. However, the generalizability of the findings to other sectors is constrained as this study is exclusively limited to the IT sector.