Adeola Samuel Adebusuyi, Samson Olowo Kolawole, Hassan Salawu Abu, Olubusayo Foluso Adebusuyi and Adesina Adewale Ajulo
This study aims to investigate how new graduates in Nigeria can simultaneously pursue entrepreneurial and professional careers. Specifically, this study tested the contextual…
Abstract
Purpose
This study aims to investigate how new graduates in Nigeria can simultaneously pursue entrepreneurial and professional careers. Specifically, this study tested the contextual (socioeconomic status [SES]), person-based (an open personality) and cognitive-person (self-efficacy and outcome expectations) predictors of entrepreneurship, professionalism and leadership.
Design/methodology/approach
The study design is cross-sectional. Data were collected from 363 new graduates from Nigerian tertiary institutions. Hypotheses were generated from social cognitive career self-management (CSM) variables. Research instruments were also revalidated for the Nigerian context, and regression path analysis was used to analyze the data.
Findings
This study’s key findings showed that SES and an open personality are predictors of entrepreneurship, professionalism and leadership (EPL) self-efficacy and intentions, entrepreneurial and job outcome expectations. Second, EPL self-efficacy predicted both entrepreneurial and job outcome expectations and served as a mediating variable for SES and an open personality. Third, entrepreneurial outcome expectations related to EPL intentions, whereas job outcome expectations did not. These results suggest that SES and openness personality trait are crucial for developing a versatile career mindset.
Research limitations/implications
This study demonstrated that individuals’ characteristics (i.e. cognitive and personality) and economic resources are crucial determinants of CSM. As this study is cross-sectional, future research could use a longitudinal approach to determine the cause-effect relationship.
Originality/value
To the best of the authors’ knowledge, this study is the first research to examine how new graduates can simultaneously explore entrepreneurial and professional careers in a developing country like Nigeria using the CSM theory.
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Keywords
Himanshu Seth, Saurabh Chadha, Satyendra Kumar Sharma and Namita Ruparel
This study develops an integrated approach combining data envelopment analysis (DEA) and structural equation modeling (SEM) for estimating the working capital management (WCM…
Abstract
Purpose
This study develops an integrated approach combining data envelopment analysis (DEA) and structural equation modeling (SEM) for estimating the working capital management (WCM) efficiency and evaluating the effects of diverse exogenous variables on the WCM efficiency and firms' performance.
Design/methodology/approach
DEA is applied for deriving WCM efficiency for 212 Indian manufacturing firms over a period from 2008 to 2019. Also, the effect of human capital (HC), structural capital (SC), cost of external financing (CEF), interest coverage (IC), leverage (LEV), net fixed asset ratio (NFA), asset turnover ratio (ATR) and productivity (PRD) on the WCM efficiency and firms' performance is examined using SEM.
Findings
The average mean efficiency scores ranging from 0.623 to 0.654 highlight the firms operating at around 60% of WCM efficiency only, which is a major concern for Indian manufacturing firms. Further, IC, LEV, NFA, ATR revealed direct effect on the WCM efficiency as well as indirect effect on firms' performance, whereas CEF had only a direct effect on WCM efficiency. HC, SC and PRD had no effects on WCM efficiency and firms' performance.
Practical implications
The findings offer vital insights in guiding policy decisions for Indian manufacturing firms.
Originality/value
This study is the first to identify the endogenous nature of the relationship of HC, SC, CEF, IC altogether with firms' performance, compounded by the WCM efficiency, by applying a comprehensive methodology of DEA and SEM and provides an efficiency performance model for better decision-making.
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Feda Abdalla Zahor, Reema Jain, Ahmada Omar Ali and Verdiana Grace Masanja
The purpose of this paper is to review previous research studies on mathematical models for entropy generation in the magnetohydrodynamics (MHD) flow of nanofluids. In addition…
Abstract
Purpose
The purpose of this paper is to review previous research studies on mathematical models for entropy generation in the magnetohydrodynamics (MHD) flow of nanofluids. In addition, the influence of various parameters on the velocity profiles, temperature profiles and entropy generation was studied. Furthermore, the numerical methods used to solve the model equations were summarized. The underlying purpose was to understand the research gap and develop a research agenda.
Design/methodology/approach
This paper reviews 141 journal articles published between 2010 and 2022 on topics related to mathematical models used to assess the impacts of various parameters on the entropy generation, heat transfer and velocity of the MHD flow of nanofluids.
Findings
This review clarifies the application of entropy generation mathematical models, identifies areas for future research and provides necessary information for future research in the development of efficient thermodynamic systems. It is hoped that this review paper can provide a basis for further research on the irreversibility of nanofluids flowing through different channels in the development of efficient thermodynamic systems.
Originality/value
Entropy generation analysis and minimization constitute effective approaches for improving the performance of thermodynamic systems. A comprehensive review of the effects of various parameters on entropy generation was performed in this study.