The Influence Of Personality Traits On Lecturer Competence With The Mediating Role Of Knowledge Sharing In Pakistan Public Universities

This study examined the influence of personality traits and knowledge sharing on The competence of lecturers in Pakistan public universities. Specifically, the Investigation delves into the relationship between the components of personality Traits (extraversion, neuroticism, openness, agreeableness, and conscientiousness) And lecturer competence via knowledge sharing. Employing a quantitative method Approach and a cross- sectional survey research strategy, the study garnered 375 Valid responses from 500 participants. Structured questionnaires were administered To lecturers across 16 prominent public universities from all provinces and the Capital of Pakistan. The data analysis utilized Partial Least Square Structural Equation Modeling (PLS- SEM). Out of the 16 hypotheses tested, 14 received Empirical support, affirming a positive relation between personality traits, Knowledge sharing and lecturer competence. While some direct relationships could Not find support, suggesting the need for mediating intervention, the findings Affirm that knowledge sharing mediates the relationship between the components Of personality traits and lecturer competence. Moreover, the study highlights that Knowledge sharing not only mediates but also enhances the effect of personality Traits on lecturer competence. The mediating effect on personality traits and Lecturer competence meet the standard for significance. In light of the findings, it is Recommended that the top management of higher education promote the Knowledge-sharing environment in their educational institutions. Additionally, the Universities in Pakistan should consider the interplay of personality traits and Knowledge sharing when formulating strategies to enhance lecturer competence. The study concludes by discussing theoretical, methodological and practical Implications for universities

Water-based copper-alumina hybrid nanofluid flows over a stretchin/shrinking sheet with dual solutions

Hybrid nanofluid has many real-world applications. Previous studies found hybrid nanofluid possesses better heat transfer efficiency compared to nanofluid with a single type of nanoparticle. However, the characteristics of boundary layer flow and heat transfer rate involving hybrid nanofluid could be further explored using different geometries and physical assumptions in higher-dimensional space. There are dual solutions to these fluid problems due to the nonlinearity of the governing equations. Nevertheless, solutions are difficult to obtain experimentally. Therefore, the main objective of this study is to examine all possible solutions to five new water-based copper-alumina hybrid nanofluid flow problems numerically, which involved vertical exponential, power-law, and linear rotating stretching/shrinking sheet. The hybrid nanofluid flow problems in this study have been governed by systems of nonlinear partial differential equations, which were then transformed into their corresponding systems of higher-order nonlinear ordinary differential equations using suitable similarity variables. The systems were then solved numerically. The numerical findings for all five problems were found to agree with those existing solutions in the literature. The effects of physical parameters on reduced skin friction, reduced heat transfer, velocity profile, and temperature profile have been established. Findings also revealed that there were distinct zones for dual, unique, and no solutions for each problem. In conclusion, the addition of hybrid nanoparticles boosted the heat transfer rate of the water-based hybrid nanofluid flow. The findings of this study can serve as a guide to lower the cost of experiments in relevant fields of application

Deep learning framework for hierarchical-based object identification and description

Humans have the capability to quickly classify, identify, and describe objects in the surrounding environment. The Deep learning (DL) and Computer Vision (CV) approaches allow computers to gain high-level understanding from images or videos. Although DL-based CV approaches have achieved various successes in object recognition and identification, these approaches cannot adapt like humans. Existing approaches exhibit setbacks due to their inability to identify objects that are beyond training samples when deployed in real-world applications. Hence, DL approaches lack of global generalization, hierarchical learning, and correlation learning. In addition, DL-based CV approaches only depend on extracting high-level features which are not semantic to recognize parts or subsets of an object. In this study, a new DL framework called Human Identification and Description Framework (HIDF) is developed. The HIDF aims to overcome global generalization, hierarchical and correlation learning limitations by describing an object when it cannot be initially identified. The HIDF components include five phases: 1) a feature extraction network which extracts suitable feature levels for object identification and classification tasks, 2) identification network which specifies the identity of the object, 3) a multi-output classification network for hierarchical-based object classification, 4) object description algorithm which generates sentences describing object characteristics, and 5) shunt connections which regulate prediction direction of HIDF according to the desired task (identification or classification). HIDF achieved 99.27% identification accuracy and 98.61% classification accuracy on benchmark datasets for human identification and human head attribute classification. The framework performance was compared with other state-of-the-art networks based on accuracy, precision, recall, and F1-score measures. The experimental results have shown that HIDF is able to overcome global generalization, hierarchical learning and correlation learning limitations by tracing the hierarchy and correlation of the object. Therefore, HIDF can be employed in CV applications, including but not limited to visually impaired aids, and robot guidance

Factors Influencing Job Performance Among Employees In The Energy And Resource Service Sector In Klang Valley

Job performance has become a paramount concern for organizations worldwide, given its pivotal role in influencing organizational effectiveness and competitiveness in the era of technological advancement. Recognizing this crucial aspect is essential for organizational success amid the forces of globalization, this study aimed to investigate factors influencing job performance. Specifically, this study examined the influence of training and development, reward and recognition, and proactive personality on job performance. To achieve the research objectives, a survey using questionnaires was conducted among employees in the energy and resource service sector in Klang Valley. A total of 107 responses were gathered and data was analysed using SPSS version 29. The findings reported that training and development has a significant and positive impact on job performance. Nevertheless, other factors have no significant influence on job performance among employees in the sector understudy. In terms of theoretical implications, this study added to the body of knowledge of the respective variables understudy and Social Exchange Theory. As for practical ramifications, the findings from this study serve as a guideline and reference for employers in the energy and resource service sector, especially human resources departments, in developing measures to enhance job performance

The influence sevices quality of last-mile delivery services on customer satisfaction in Malaysia

In the dynamic landscape of last-mile delivery services, customer satisfaction stands as a critical metric for success. This study investigates the multifaceted influences of delivery, packaging, technology, accessibility and trust on customer satisfaction within the context of last-mile delivery services. Expectancy-Disconfirmation Theory and SERVQUAL model serve as the underpinning theory in this study. This study applies the quantitative research method to collect data through questionnaire surveys distributed to customers of last-mile delivery services within Kuala Lumpur context. The sampling technique applied is the convenience sampling technique in which respondents are selected based on their availability, accessibility or willingness to participate. There are 401 respondents participating in this study and the data been analyzed using SPSS. The findings underscored the pivotal role that delivery price, speed and accuracy, packaging, technological advancements, ease of accessibility and trustworthiness play in shaping the perception of service quality and subsequently influencing customer satisfaction levels. Notably, trust emerged as the most influential factor contributing towards customer satisfaction in last-mile delivery service

Exploration Of The Glass Ceiling On Women's Career Progression: A Case Of Auditing Profession In Malaysia

In Malaysian context, the qualitative exploration highlights the auditing profession and the representation of women within it. The study delves into the career progression of women in auditing occupations, shedding light on their significant under-representation, particularly among Malay and Indian women, in upper management levels within audit firms. The primary objective is to understand the multifaceted challenges hindering women's career progression to top management levels and to uncover if there is an ethnic-related glass ceiling experience faced by non-Chinese women in the auditing occupation. Employing interpretative phenomenological analysis, this study involves nine participants selected through purposive sampling and snowballing. The research comprises semi-structured interviews, conducted through phone calls, face-to-face meetings, and virtual interviews via Webex and Google Meet. The findings reveal three superordinate themes. The work-family theme explains challenges related to marriage and a hectic work style, emphasizing the delicate balance required between professional and familial responsibilities. The individual theme explores self-determination, ambition, and professional qualifications, emphasizing women's power and qualifications in advancing their careers. The minorities in auditing theme contributes novel insights into the experiences of Malay and Indian women, particularly focusing on subthemes of business clients and language barriers, and how these factors intersect with career advancement and opportunities. In conclusion, this study provides valuable and comprehensive insights into the complex relationship between work, family, individual choices, and the unique experiences of minorities in the auditing profession. Identification of potential glass ceiling elements within these themes highlights the urgent need for inclusive policies and practices, which can support women in reaching top management levels

Factors Influencing Employee Engagement At Top Glove Sdn Bhd

The objectives of this research was to examine the relationship between well-being, training and career development, work culture and compensation & benefits towards employee engagement at Top Glove Sdn Bhd. Social Exchange Theory (SET) was used in this study to utilized in developing the research framework. Sampling about 108 of respondents were participated in this study and data were collected through questionnaire. The four hypotheses were tested by four analysis using SPSS 2.0. The findings indicated that well-being, training and career development, work culture and compensation & benefits were significantly related to employee engagement. The findings of this research will be very helpful for Top Glove Sdn Bhd, Human Resource Management, Researchers, Policy Makers and Students. Theoretical and practical implications of the study as well as suggestions for future research were discussed

The relationship between human resource practices and employee retention in manufacturing industry

Retention of talents is crucial for organizations to remain competitive in the business. Hence, employee retention has received considerable research attention including the various long-term strategies and efforts performed by the organization to ensure that employees remain in the business. The study aims to examine the relationship between four human resource practices (training and development, career development, rewards and compensation, performance appraisal) and employee retention. The study was conducted among 170 employees selected from five manufacturing companies located in Penang, Malaysia. The respondents for this study were selected using a convenient sampling technique. This study employed a quantitative research approach, based on cross-sectional study research design. The data for this study were collected using the online survey via Google forms. The data was analyzed using Statistical Package for Social Science (SPSS) version 27. Both the descriptive and inferential analysis was performed to fulfil the objective of the study. The multiple regression analysis indicates that rewards and compensation and performance appraisal are strongly correlated with employee retention. However, training and development and career development do not have a statistically significant relationship with employee retention in the manufacturing companies. This study has also identified practical implications, theoretical implications, and limitations encountered during its execution. This study also proposed recommendations for future researchers interested in investigating the correlation between HR practices and employee retention

Prevention Of Subtle Sexual At Workplace: An Empirical Approach

Subtle sexual harassment is described as sexualized verbal behaviour by a pertinent person in a job setting. It has been occurring in the workplace for many years. The identified issue prompted the need for an investigation into subtle forms of sexual harassment and strategies to prevent subtle sexual harassment in the workplace. This study is carried out to examine the factors influencing subtle sexual harassment behaviour in the workplace using an empirical approach. The main objective of this study is to examine the relationship between behavioural control and subtle sexual harassment. Behavioural control factors in this study include attitude, individual norms and perceived behavioural control . This quantitative study used a self-administered questionnaire to collect the data. One hundred forty employees from Kedah Domestic Trade Office were selected as the respondents. Data was analysed using Statistical Package for Social Science (SPSS) software. Results indicated that behavioural control factors explained more than 60 percent of intention to prevent subtle sexual harassment, and the intention explained 6.2 percent. Attitude, individual norms and perceived behavioural control were found to have a significant relationship to the intention to prevent subtle sexual harassment. Lastly, the study also found a significant relationship between intention and subtle sexual harassment. This study provides empirical evidence of the effect of behavioural control (attitude, individual norms and perceived behavorial cntrol), the presence of an intention to prevent subtle sexual harassment as antecedent in regards to increasing behavioural outcome of reducing subtle sexual harassment at the workplace

Safety Management Practices and Radiation Safety Awareness Among Malaysian Air Defence Artillery Radar Course Students

This study aimed to determine the relationship between safety management practices, such as Management Commitment, Safety Training, Operator's Involvement, Safety Communication and Feedback, Safety Rules and Procedures, and Safety Promotion Policies, and radiation safety awareness among students of the Malaysian Air Defence Artillery Radar Course. A total of 148 questionnaires were distributed to respondents selected using simple random sampling from a population of 230 students in the radar course. The data obtained from the questionnaires were analyzed using correlation analysis with the Statistical Package for Social Science (SPSS) Version 27. The study aimed to fill a knowledge gap in understanding how the safety management practices influence radiation safety awareness in a specific context. In this study, strong positive correlations were found between safety management practices such as management commitment, safety training, and operator involvement and radiation safety awareness among ADA Radar Course students, highlighting the critical role these practices play in enhancing radiation safety awareness. Despite some limitations, the study contributes to the understanding of the relationship between safety management practices and radiation safety awareness among students in this specific context