165 research outputs found
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Tobin-Q, Liquidity and Momentum risk-premia: A Demonstration of Weighted Least Squares Regression Approach
Full text linkPurpose- The basic purpose of the study is to examine whether Tobin-q, liquidity and momentum risk-premium contributes the explanatory power in terms of explaining portfolio returns in PSX. Design/Methodology- The Weighted Least Square (WLS) regression technique is empirically used to examine the nexus between risk-factor and portfolio returns using PSX dataset. The models provide useful tools for making efficient strategies in the jurisdiction of investments and portfolio constructions. Findings- The study reveals that multidimensional liquidity exhibits weak significant results while Tobin-q and momentum risk-factors demonstrate statistically significant determinants for PSX. Furthermore, WLS regression produces robust coefficient results than OLS regression as except liquidity all the factors exhibit substantially improved results. Practical Implications- The study findings would be useful for stocks and portfolio managers constructing optimal and diversified portfolios while investing in PSX
Factors Influencing Wellbeing among Working Mothers of Small and Medium Enterprises in Europe: The Moderating Role of Supervisory Support
Full text linkPurpose- It is known that working mother faces work-family responsibilities that likely affect their well-being. There is also a few research on conflict differentiated by work status and gender or on the moderating role of perceived supervisor support. Therefore, there is a research gap in this topic. The purpose of this research is to examine the working mother’s wellbeing among the small and medium enterprises in Europe.Design/Methodology- In this research, independent variables such as job resources, inter-role work and family conflict, working environment and underemployment are being discussed to determine their correlation with employee’s wellbeing, based on findings from Eurofound’s sixth European Working Condition Survey 2015 (EWCS). Multiple Linear Regression was conducted to investigate the influence between identified variable.Findings- The research found that the roles of supervisory support do affect some of the variables. Appropriate supervisory intervention relieves job stress and increases the wellbeing for employed mother. Wellbeing and work are closely related, in that the bad or good environment of working have a direct impact on employed mother’s quality of life.Practical Implications- The study contributes to a better understanding of work-family conflict and their wellbeing. This report could provide valuable insight to organizations on ways to ensure effectiveness and better performance by preventing conflict from occurrin
An Investigation into Work-Family Balance and Employee Resilience among Female Bankers: The Mediating role of Organizational Support
Full text linkPurpose- Work-family balance has increasingly become the epitome of scholarly investigation. This study was motivated to contribute to the growing debate from the Ugandan setting and particularly with a female sample by studying employee resilience.
Methods- This study adopted data triangulation conducted among 397 female bankers; where a sample size of 196 was determined. Data was collected using a structured five-point Likert-type scale questionnaire. The instrument was tested for validity using expert opinion and content validity. We also used exploratory factor analysis. For reliability, we used the Cronbach alpha coefficients. The data were collected with the approval and consent of the Research Committee of MUBS, and the supervisors in the banks, and respondents were assured of confidentiality.
Findings- Indeed, some organizations have mainstreamed gender into their operations in the footsteps of national gender policy. But work-life balance is beyond gender frameworks. This study found that organizational support has a partial mediation effect between work-family balance and employee resilience. This means that both factors are important in influencing the employee resilience of female workers in the banking sector.
Originality-This study is grounded in the practical insights of female bankers in Uganda. While there may be similar studies none has taken a rigorous scholarly approach like this in conceptualization and methodology. This study was original in the context in which it was executed and the methodologies used. We contend that this study has made a significant contribution to further delineating the life-balance debate for policy, practice, and academic advancements in the African context
Caught in the Crossfire: How Work-Family Conflict Affects the Lives of Married Nurses in India
Full text linkPurpose- This research aimed to examine the nature of the relationship between work and life among married nurses in Jammu and Kashmir, IndiaDesign/Methodology- A questionnaire with measures for work-family conflict, life satisfaction, and family satisfaction was administered. The nodal agency, Government Medical College (GMC), provided the researcher with a list of nurses and their marital statuses. A sample of 253 nurses was analyzed using simple random sampling from a list of potential 527 nurses. These 253 respondents worked at five major government hospitals. In addition to the work-family measures, questions on age, work experience, job grade, and family type were askedFindings- The results revealed a significant relationship between work and family conflict with both life satisfaction as well as family satisfaction. In both cases, the time-based, and strain-based conflict scored higher than the behavior-based conflict in influencing family and life satisfaction negativelyPractical Implications- The results highlight the need for organizational support for nurses, which can be in the form of flexible work schedules, and other time-saving techniques. Given that nurturing responsibilities are shouldered by women in India not only monetary but non-monetary benefits should be availed to the nurses to alleviate their work-family conflict
Technostress and Telecommuting in the Context of Covid-19: Evidence from Cambodia’s Higher Education Institutes
Full text linkClosures of educational establishments owing to the COVID-19 pandemic have impacted individuals globally. Educational organizations of all levels have been compelled to use online instruction because comprehensive safety precautions have been taken to minimize the spread of disease during the COVID-19 contagion, which has increased technostress. Both public and private organizations utilized these strategies, allowing the individual to work virtually.
Purpose- This work examines the association between the perceived technostress attributes and instructors in Cambodian academic institutions during the COVID-19 pandemic.
Design/Methodology- It used a quantitative method and constructed a research instrument to examine (340 participants) of public and private instructors service during the outbreak. Additionally, the data was collected and analyzed using structural equation modeling (SEM).
Findings- The study revealed that technostress had a substantial effect on the gender, age, and working experience of educators. Hence, given the rapid evolution of ICT trends, it is appropriate to design practical training and wellness programs to alleviate technostress and foster a sense of technological competence and personal relevance
Does Environmental Knowledge Matter? Social Influence and Pro-Environmental Behavior in University Students: An Indirect Effect Model
Full text linkPurpose- This study aims to provide an analytical framework that focuses on environmental knowledge as a mechanism through which social influence enhances pro-environmental behavior among university students.
Design/Methodology- The research employed quantitative strategy, cross-sectional survey design, and systematic random sampling techniques to obtain data from a sample of 335 university students using a structured self-administered questionnaire. The study hypotheses were tested using Hayes Process Macro vs. 3.5 (Model 4).
Findings- Results indicate that social influence strongly impacts students’ environmental knowledge, and both variables significantly predict pro-environmental behavior. Environmental knowledge was discovered to be the strongest predictor of pro-environmental behavior among students. Finally, results show that environmental knowledge mediates the relationship between social influence and pro-environmental behavior, revealing a complimentary mediation model superior to the direct effect model.
Originality- These findings reveal that social influence and students’ environmental knowledge have a strong influence in cultivating students’ pro-environmental behavior. Furthermore, the complementary mediation model, which shows superior results than the direct effect model, contributes to the body of knowledge and offers new insights into theory and practice.
Practical Implications- Environmental sustainability may be positioned as a social trend by government and business agencies, such as a promotional campaign, workshops, and training to demonstrate and raise awareness about environmental issues
On Exports and Economic Growth: Revisiting Export-Led Growth Hypothesis Including North-South Divide
Full text linkObjective: The purpose of the present study is to revisit the export-led growth hypothesis in the wake of globalization. This will help in trade policy decisions and make it possible to standpoint whether the export promotion is a good idea to accelerate economic growth.
Design: The ELG hypothesis is examined for 107 countries through panel data analysis using cointegration and panel regression tests from 1990 to 2018. The study finds strong support for the long-run relationship between exports and gross domestic product and the export-led growth hypothesis in a two-variable regression framework.
Findings: It is evident from the long-run coefficient of dynamic ordinary least squared that a 1.0 percent increase in real exports increases the real gross domestic product by 0.53 percent. The long-run coefficient of real exports for the Global South (0.55) is found higher than that of the Global North (0.51), which indicates that in the wave of globalization, the evidence of export-led growth hypothesis is stronger for comparatively poor Global South than the richer Global North.
Practical Implications: The results indicate implications for export promotion policy in the Global South countries to accelerate economic growth and increase real gross domestic product.
Originality: The study is the first to explore the ELG hypothesis using a big pool of 107 countries, including the global north-south divide
Relationship Between Strategic Direction, Core Competencies And Firm Competitiveness Among Manufacturing Firms In Uganda
Full text linkPurpose- The paper examines the relationship between strategic direction, core competencies, and firm competitiveness among manufacturing firms in Uganda.
Design/Methodology- This study collected quantitative data from 410 manufacturing firms using self-administered questionnaires, while qualitative data was collected from 10 manufacturing firms using an interview guide. Quantitative data were augmented by qualitative methods, allowing us to comprehend the phenomenon under study completely. To study the nature of reality, an explanatory cross-sectional survey was employed. While the content analysis was used to investigate qualitative data, regression analysis was used to evaluate hypotheses.
Findings- According to the research, a firm\u27s competitiveness improves when its executives concentrate on their capabilities. The findings validated the theoretical foundations of the resource-based viewpoint.
Practical Implications- As a result of the findings, manufacturing firms may increase strategic leadership\u27s influence on competitiveness by ensuring that workers have proper directions and that the core competencies are identified and leveraged to ensure efficiency and effectiveness in operations. The findings may assist CEOs and policymakers design strategies and policies to increase the level of competitiveness of their firms
A Review of Machine Learning Applications for Credit Card Fraud Detection with A Case study
Full text linkPurpose - This paper aims to highlight the widely used supervised techniques applied for fraud detection. In addition, this paper aims to apply some techniques to evaluate their performance on real-world data and develop an ensemble model as a potential solution for this problem.
Design/Methodology- Different techniques applied in this study for fraud detection purposes are logistic regression, decision tree, random forest, KNN, and XGBoost. The confusion matrix gives information about the assignment of inputs to the different classes. This study uses precision and recall to evaluate the performance, calculated based on the confusion matrix.
Findings- XGBoost is the fastest and is expected to have the best performance; however, it is only outperforming the random forest in terms of accuracy, precision, recall, and f1-score. In general, the KNN and logistic regression have better performance, which means they better detect fraudulent transactions.
Practical Implications- The new model can be applied to new data instead of the previous techniques