Small and medium-sized enterprises as the main body of Chinese enterprises should be an important driving force for China's economic development. However, the problems of salary management faced by small and medium-sized enterprises are increasingly hindering their own survival and development. Whether it is standing on the position of the enterprise or the workers, the pay problem is that they are more concerned about the problem, while the remuneration is also an indispensable modern means of competition and incentives. Salary management is not only indispensable content of enterprise human resources, but also the establishment of modern enterprise system, and optimization of the allocation of social resources requirements. Enterprise salary management operation flexibility or not, directly affect the production and operation management, which will affect the long-term development of enterprises. This paper analyzes the problems of salary management in small and medium-sized enterprises (SMEs), such as unreasonable pay system, lack of forward-looking management system, and so on, and analyzes and discusses their own countermeasures.

Machine analysis of detection of the face is an active research topic in Human-Computer Interaction today. Most of the existing studies show that discovering the portion and scale of the face region is difficult due to significant illumination variation, noise and appearance variation in unconstrained scenarios. To overcome these problems, we present a method based on Extended Semi-Local Binary Patterns. For each frame, an aggregation of the pixel values over a neighborhood is considered and a local binary pattern is obtained. From these a binary code is obtained for each pixel and then histogram features is computed. Adaboost algorithm is used to learn and classify these discriminative features with the help of exemplar face and non-face signature of the images for detecting the location of face region in the frame. This Extended Semi Local Binary Pattern is sturdy to variations in illumination and noisy images. The developed methods are deployed on the real time YouTube video face databases and found to exhibit significant performance improvement owing to the novel features when compared to the existing techniques.

Job satisfaction is a goal of every organization and human resources department. Many studies have shown the relationship between employee satisfaction as a predictive factor for a variety of key organizational indicators such as employee commitment, employee engagement, productivity, attrition, and turnover. Engaging in well-being activities is one strategy that companies can use to boost employee satisfaction. The term “well-being” activities in Hebrew is a bit different from the common use of the word in the literature. It is a combination of the concepts of Fun Activities, Employee Experience and Perks and Benefits. In High-tech companies, there are many activities aimed at creating a positive employee experience and an attractive organizational culture. These activities include a vast range of activities such as: department events, happy hours, company events, holiday gifts, enrichment activities, sports classes (for example, yoga), and more benefits. Despite the considerable investment in this budget, there are not many studies illustrating the contribution of well-being activities to employee satisfaction and their ROI. The purpose of this study was to examine the relationship between workplace well-being activities and job satisfaction in the Israeli high-tech market. The hypothesis of this study was that there is a positive relationship between well-being activities in the workplace and satisfaction in the workplace, but also to identify which issues within the well-being policy will predict the highest level of employee satisfaction. The study was conducted among 91 employees from a variety of high-tech companies in the Israeli market. The study’s findings supported the hypothesis. Practical suggestions for organizations for the successful implementation of well-being policies are discussed.

The article presents an analysis of the main causes and social consequences of the transformation of employment in the conditions of the transition of the world economy to post-Fordism/neoliberalism at the end of the 20th century. The author discusses the main methodological approaches to the study of this problem and also dwells in detail on the analysis of such important consequences of the transformation of the labour sphere as the increase in the vulnerability of workers’ employment, the growth of inequality, the weakening of the strength of trade unions, etc.

Employee retention is a critical concern for organizations in today’s dynamic labor market. This paper introduces a novel framework, integrating “absolute potential of the employee” and “risk associated with leaving the employee”, to address this challenge. Findings from the study suggest that this framework can effectively assist organizations in strategizing retention techniques. The research methodology employed an exploratory research design and collected data from 576 employees across various sectors. The results indicate significant implications for organizational risk assessment and employee retention strategies.

The main objective of the study was to examine factors that influence employee performance in general and, more specifically, in public enterprises. The research approach was qualitative, with an in-depth literature review and content analysis. The findings of the study reflect that some factors have a positive and some have a negative influence on employee performance. The study also shows a significant relationship between factors and employee performance, which in turn has a multiplier effect on employee development. Recommendations include the need to provide resources for employee training and development, and the strategic aims and objectives of public enterprises should be aligned with the training and development programs.