Pengaruh Pendidikan Pengalaman Kerja Sistem Kerja Kontrak dan Pengelolaan Sumber Daya Manusia terhadap Kualitas Tenaga Kerja pada PT Srikandi Mandiri Duta Mulia Yogyakarta

The purpose of this research is to find out the influence of education, work experience, contract work system and HR management on the quality of pt. Srikandi Mandiri Duta Mulia. The research method used in this study is descriptive quantitative by using a statistical correlation of multiple regressions. Popolasi in this study is the entire workforce available at PT. Srikandi Mandiri Duta Mulia, with a sample of 53 respondents. The results stated that education, work experience, contract work systems and HR management have a positive influence both partially and simultaneously on the quality of the workforce. Keywords: education, work experience, contract work system, HR management, Quality of work.

Supply and sales

The textbook discusses theoretical, methodological and practical issues related to the activities of such important areas in the life of any organization as supply and sales. Meets the requirements of the federal state educational standards of higher education of the latest generation. It is intended for undergraduate and graduate students studying in the areas of training "Management", "Economics", "State and Municipal Management", "Quality Management", "Housing and communal infrastructure", "Trade", as well as in engineering, technological and other areas and specialties providing for the study of disciplines of economic, organizational and managerial cycles; for graduate students, students of business schools and advanced training and retraining courses. It can be useful for university teachers, employees of research and consulting firms, managers and specialists of enterprises.

Effect of Credit Risk Management on Financial Performance Of Nepalese Commercial Banks

The main purpose of this study is to investigate the effect of credit risk on the financial performance of commercial banks in Nepal. The panel data of seventeen commercial banks with 85 observations for the period of 2015 to 2020 have been analyzed. The regression model revealed that non – performing loan (NPLR) has negative and statistically significant impact on financial performance (ROA).Capital adequacy ratio (CAR) and bank size (BS) have negative and statistically no significant impact on financial performance (ROA). Credit to deposit (CDR) has positive but no significant relationship with the financial performance (ROA) and the study concluded that the management quality ratio (MQR) has positive and significant relationship with the financial performance (ROA) of the commercial banks in Nepal. The study recommends that, it is fundamental for Nepalese commercial banks to practice scientific credit risk management, improve their efficacy in credit analysis and loan management to secure as much as possible their assets, and minimize the high incidence of non-performing loans and their negative effects on financial performance.

Exploring Factors Influencing Big Data and Analytics Adoption in Healthcare Management

Demand for improvement in healthcare management in the areas of quality, cost, and patient care has been on the upsurge because of technology. Incessant application and new technological development to manage healthcare data significantly led to leveraging on the use of big data and analytics (BDA). The application of the capabilities from BDA has provided healthcare institutions with the ability to make critical and timely decisions for patients and data management. Adopting BDA by healthcare institutions hinges on some factors necessitating its application. This study aims to identify and review what influences healthcare institutions towards the use of business intelligence and analytics. With the use of a systematic review of 25 articles, the study identified nine dominant factors driving healthcare institutions to BDA adoption. Factors such as patient management, quality decision making, disease management, data management, and promoting healthcare efficiencies were among the highly ranked factors influencing BDA adoption.

Temporal performance of the management effectiveness of a protected area in the Brazilian Atlantic Forest, São Paulo, Brazil

This work presents the monitoring of the effectiveness of the management of the Morro do Diabo State Park, Sao Paulo, Brazil, during fourteen years (2002-2016), divided into six-time cuts for which management effectiveness indices were obtained. This protected area (PA) of category II of the World Conservation Union is responsible for the conservation of important species of Brazilian biodiversity, especially the leonthopitecus chrysopygus, which until the 1980s was considered the most endangered primate of the planet and which this park has its largest free population in nature. The methodological procedure used was an adaptation of the one proposed by Cifuentes, Izurieta, and Faria (2000), commonly denominated EMAP, an acronym of the initials in Spanish. The results indicate that at the beginning of the analyzed period the AP had reasonable conditions for its management, although it presented difficulties related to planning and administration, problems solved from a joint organizational and local effort, prioritizing actions for results. The management quality standard gradually increased, with a greater perception of the scope of the area's management objectives, since in addition to the ecosystem services resulting from its existence, the PA started to offer real benefits to the community by improving and increasing public use and environmental education, for example. However, the effectiveness of management has decreased to previous levels, having as main factors endogenous aspects of the management system linked to indicators limited to management, with repercussions on other management components.

VIKOR Method for Evaluating the Management Quality of Teacher Education with Probabilistic Hesitant Fuzzy Information

In the era of enhancing the quality of education, teacher quality, as the core factor affecting the quality of education, has received unprecedented attention in the field of education. The monitoring on teacher quality is the basis of fully understanding and effectively improving the quality of teachers in compulsory education within the county. Comprehensive and systematic study on teacher quality control in compulsory education within the county is the key to improve the teacher quality of it as well as improve and complement research in related fields. And in stark contrast to the importance of the problem, there is no in-depth and systematic result on the monitoring on teacher quality within the county which becomes a matter of concern in current research in the field of education issues. And the management quality evaluation of teacher education is frequently viewed as the multiple attribute decision-making (MADM) issue. An extended VIKOR model is established to provide a new approach to solve the management quality evaluation of teacher education. The VIKOR method with probabilistic hesitant fuzzy information is applied to rank the optional solutions. Lastly, a numerical example about management quality evaluation of teacher education is illustrated to test the newly proposed method’s practicability.

Study on the quality improvement on black land in Northeast China under the environment of sustainable agricultural development

PurposeThe authors are committed to providing the Chinese government with a foundation for making decisions that will protect black land and ensure long-term agricultural development.Design/methodology/approachUsing the grounded theory approach, this study investigates the influencing factors affecting the quality of black land in Northeast China and proposes a hypothetical model for the mechanism of the influencing factors on the quality of black land in Northeast China.FindingsThe factors influencing the quality of black land include not only soil quality, ecological quality and environmental quality, but also economic quality and management quality, and can be classified into five categories. There are complex influence relationships between various factors and black land quality, with soil quality, ecological quality, environmental quality and management quality having a positive influence on economic quality. Soil quality, ecological quality and environmental quality are all improved as a result of good management. Black land quality is influenced positively by environmental quality, economic quality and management quality.Research limitations/implicationsThe quality of black land is a major concern in terms of food production and long-term agricultural development. The black land in Northeast China was chosen as the subject of this study, and the research findings have some limitations. The next step will be to expand from studying the black land in Northeast China to the black land worldwide.Originality/valueIn Northeast China, the quality of the five dimensions of black land must be improved in a coordinated and consistent manner.

Intelligent control based on ergatic systems in conditions of incomplete and fuzzy information

The article deals with the management of human-machine (ergatic) systems in the conditions of digital transformation in relation to their functioning in the presence of NON-factors, such as: uncertainty, complexity, instability, ambiguity. Modern conditions for the formation of the digital economy imply the search and use of a new methodology in the organization of management activities, including the regional level. This process is carried out through the widespread use of human-machine systems with a high level of intellectualization of the machine component, the use of hybrid intelligence and the formation of bionts. We show a variant of classification of ergatic systems, focused on socio-economic systems. We propose a method for choosing a rational alternative to support the management of human-machine systems in the conditions of vagueness and ambiguity of the initial data and approaches to the management quality criteria. A fuzzy approach to a multi-criteria problem is proposed. It leads to a certain combination of fuzzy selection criteria, and to the study of complex systems as a hierarchical structure, with the representation of system elements and its qualitative properties as fuzzy mathematical models, the combination of which will give a mathematical model of the systems.

A Performance Management System for Long-Term Germplasm Conservation in CGIAR Genebanks: Aiming for Quality, Efficiency and Improvement

UN Sustainable Development Goal 2 Target 2.5 focuses on the conservation of genetic diversity in soundly managed genebanks. In examining the term “soundly managed”, it becomes quickly evident that there is much more to long-term conservation than placing samples of seeds or other germplasm in long-term conservation conditions. There are several important factors that determine whether germplasm samples will remain viable in storage for long periods of time. To manage these factors efficiently and effectively, genebanks require sound data and quality management systems. The CGIAR Genebank Platform, coordinated by the Crop Trust, put in place a number of mechanisms that enabled effective online reporting, performance management, quality management, audit and external review and validation. These mechanisms do not conform to the usual monitoring systems put in place for research programs and have only been possible thanks to the flexibility of CGIAR in recognising that the genebanks were exceptional. As a result, in the past 10 years, CGIAR genebanks have significantly improved their performance and the conservation status of collections.