The Influence Of Human Resource Policy On Job Satisfaction In Predicting Organizational Commitment

Purpose:  This research aims to explore the relationship among  human resource policy, job  satisfaction and  organizational commitment  through  the perception of employees working in small and medium enterprises in Vietnam.   Theoretical framework: The human resource functions and related distinct processes that help attract, develop, and retain a company's human resources. They involve employees and guide them to help carry out activities aimed at achieving organizational goals employees (Jahanian et al., 2012).  Business leaders are always cautious when reviewing existing human resource policies and constantly improving to make employees satisfied with their jobs, thereby helping them improve their productivity and commitment to the organization.    Design/methodology/approach:   The qualitative method is based on an overview of previous studies, the research team builds the first scale, then the questionnaire is sent to the experts and conducts a trial survey with 30 employees to control the survey, edit and complete the concepts of the questionnaire. For the quantitative research, data was collected using convenience sampling method from a total of 400 employees and managers who are working at SMEs in Viet Nam. The method of  and Confirmatory Factor Analysis (CFA),  Structural Equation Modeling (SEM) were carried out to measure the influence of latent variables on  organizational commitment.   Findings:  The research results show that employees' perceptions of HR policies include selection and recruitment; training and improvement; evaluation of employees’ tasks; stability and promotion in work, remuneration and reward, and encouragement of participation and innovation.  These HR policies have a direct positive impact on job satisfaction and commitment to the organization. In addition, job satisfaction has a significant positive effect on organizational commitment. Therefore, it is necessary to improve the implementation of HR policies to promote employee job satisfaction, which helps to increase commitment to the organization.    Research, Practical & Social implications:  We recommend future research that expands on other components for a comprehensive assessment of HR policies. In addition, it is necessary to analyze in detail the components of organizational commitment such as affective commitment,  Continuance commitment, Normative commitment.   Originality/value: The results of standardized estimation of the parameters of the research model show that the relationship between the concepts in the formal research model is statistically significant (p<0.05). HR policies have been shown to have the most positive impact on job satisfaction in SMEs.&nbsp

Characterization of random stress fields obtained from polycrystalline aggregate calculations using multi-scale stochastic finite elements

The spatial variability of stress fields resulting from polycrystalline aggregate calculations involving random grain geometry and crystal orientations is investigated. A periodogram-based method is proposed to identify the properties of homogeneous Gaussian random fields (power spectral density and related covariance structure). Based on a set of finite element polycrystalline aggregate calculations the properties of the maximal principal stress field are identified. Two cases are considered, using either a fixed or random grain geometry. The stability of the method w.r.t the number of samples and the load level (up to 3.5 % macroscopic deformation) is investigated

The Organizational Structure of the Securities Company Under the Law of Vietnam Current

Purpose: The article researches on the organizational structure of securities company under the Securities Law 2019 in order to point out some limitations and shortcomings and propose for recommendations to improve law about organizational structure on this form of company.   Theoretical framework: Recent literature points out that securities companies play very important role in the development of Vietnam's stock market. However, in the current stage of development, from the influence and impact of international integration and the increasingly fierce competitive pressure, the securities companies have encountered many difficulties to survive. In there, limits and problems in regulations about securities company organizational structures has caused many difficulties for these companies when organization and operation. On the other hand, in the context of judicial reform in Vietnam, the issue of complete law system and expanding the freedom to business has always been paid special attention by the Party and Vietnam State.   Design/methodology/approach: The authors have combined traditional research methods of legal science such as legal analysis method, legal efficiency assessment method and legal comparison method.   Findings: According to research, regulations on the organizational structure of a securities company are directly related to the efficiency of management and administration of this company. In there, Supervisory Board/Internal Audit Committee always ensuring to limit negative and fraudulent acts of the company’s leaders, to better ensure the legitimate rights and interests of the company's members and customers. Therefore, the authors have proposed several solutions such as the need to stipulate the mandatory requirement of a Supervisory Board for the securities trading company under the model of limited liability company, and expand and strengthen the powers of the Supervisory Board/Internal Audit Committee, independent members in securities companies doing business in the form of joint stock company. These are important bases to contribute to perfecting the Law on the organizational structure of securities companies in Vietnam and further enhancing the stability and safety of the Vietnamese stock market.   Research, Practical & Social implications: This research may support many develop future research in Vietnam. At the same time, the research to help foreign investors' activities in Vietnam's stock market.   Originality/value: The research of the freedom to business and organizational structure of securities companies become more and more urgent and very important in Vietnam

Optimization Parameters of Milling Process of Mould Material for Decreasing Machining Power and Surface Roughness Criteria

Improving milling performances is an effective solution to decrease the costs required. This paper addressed a multi-response optimization to simultaneously decrease the machining power consumed Pm, arithmetical roughness Ra, and ten-spot roughness Rz. The Grey-Response Surface Method-Multi Island Genetic Algorithm (GRMA) consisting of grey relational analysis (GRA), response surface method (RSM), and multi-island genetic algorithm (MA) was proposed to predict the optimal parameters and yield optimum milling performances. The experimental trials were conducted with the support of a CNC milling center. The influences of spindle speed (S), depth of cut (ap), feed rate (fz), and tip radius (r) were explored using GRA. The nonlinear relationship between machining parameters and grey grade (GG) model was developed using RSM. Finally, two optimization techniques, including desirability approach (DA) and MA were performed to observe the optimal values. The results indicated that the machining power was greatly affected by processing factors and the radius has a significant impact on the roughness criteria. The measured reductions using optimal parameters of Pm, Ra, and Rz are approximately 77.05%, 50.00%, and 58.02%, respectively, as compared to initial settings. The GRMA can be considered as an effective approach to generate reliable values of processing conditions and technological performances in the milling process

Experiments and optimization for the WEDM process: A trade-off analysis between surface quality and production rate

This work addressed a parameter optimization to simultaneously decrease the root mean square roughness (Rq) as well as the thickness of the white layer (TW) and improve the material removal rate (MRR) for the wire electro-discharge machining (WEDM) of a stainless steel 304 (SS304). The factors considered are the discharge current (C), the gap voltage (VO), the pulse on time (POT), and the wire drum speed (SP). The interpolative radius basic function (RBF) is applied to show the correlation between the varied factors and WEDM performances measured. The optimal selection is chosen using the multi-objective particle swarm optimization (MOPSO). Moreover, a traditional one using the response surface method (RSM) and desirability approach (DA) is adopted to compare the working efficiency of two optimization techniques. The results showed that the optimal findings of the C, POT, VO, and SP are 5.0 A, 1.0 µs, 61.0 V, and 8.0 m/min, respectively. The values of the Rq and TW are decreased by approximately 33.33% and 23.53%, respectively, while the MRR enhances 47.42% at the optimal selection, as compared to the common values used. The BRF-MOPSO can provide better performance than the RSM-DA