AN EXAMINATION OF NURSES’ BURNOUT REASONS: DELPHI AND SWARA METHODS

Giving Incentives for new employees at PT. Expravet Nasuba Medan An appreciation in the form of bonuses given to every employee with employee income outside the basic salary. The provision of these incentives is based on performance results. And also based on the criteria for providing employee incentives. The criteria include education, performance, length of service, seniority and achievement. Problems that often occur at PT. Expravet Nasuba Breeding Enterprise is the provision of employee incentives not fully, and the time given is not appropriate, and the administration department is not objective in the distribution of incentives. Based on these problems, the authors are committed to solving these problems with a decision support system made with a combination of SWARA and MOORA methods. Both of these methods are each able to create and solve problems with criteria and multi-criteria data in decision making. In providing employee incentives in the SWARA and MOORA methods, the swara method is used to obtain normal weights, and the weighting results will be calculated using the Moora method. While the moora method is used for ranking. The results of the combination of these methods with the highest value will be used as the final result in decision making. Of course, the benefits obtained from the method used is to facilitate the company's administration in providing employee incentives at PT. Expravet Nasuba Breeding Enterprise. The results obtained based on the combination of SWARA and MOORA methods that Kiki Putra Naisya is the best and highest alternative. The conclusion that can be drawn from the results of the study is that both SWARA and MOORA methods can be used to determine employee incentives at PT. Expravet Nasuba Breeding Enterprise

The combination of SWARA and SAW methods in course venue selection is a comprehensive approach to determining the best course place. The SWARA method is used to identify the relative weights of each criterion in the selection of course venues, with stepwise evaluation steps to produce accurate weight ratios. Furthermore, the SAW method is applied to give a weighted value to each alternative course place based on predetermined criteria. By combining the advantages of SWARA in criteria weighting analysis and SAW in alternative ranking, this approach provides more accurate and transparent results in choosing the course place that best suits the needs and preferences of users. The ranking results showed that rank 1 with a total value of 0.925 was obtained by Victoria, rank 2 with a total value of 0.9047 was obtained by Diamond, rank 3 with a total value of 0.8708 was obtained by Anisya, and the last rank with a total value of 0.8531 was obtained by Zalia.

Sequential SWARA and fuzzy VIKOR methods in elimination of waste and creation of lean construction processes

In the information age, one of the most strategic departments for modern businesses is the information technology department. Modern businesses receive the necessary support from the information technology department to keep up with the digital age and follow technological developments. Therefore, managers working in these departments must have the necessary skills in both informatics and management. In this study, a model was proposed using multi-criteria decision-making methods for the selection of an information technology manager for a food company. In the first stage of the model, criteria were determined according to the test subjects applied by the company under different titles to measure the professional and academic knowledge of the applicant candidates and the criteria were weighted with the SWARA method. In the second stage, an objective decision matrix was created by using the test scores of the candidates. In the last stage, the best candidate for the company was determined with the ARAS and Gray Relational Analysis method. The greatest contribution of the study to the literature is to show the applicability of a model that combines the objective decision matrix and subjective evaluations.

As an influential and significant factor in improving the service of building components and elements, maintenance plays an essential role in maintaining reliability, availability, and quality, as well as increasing efficiency and security. Therefore, how to define this maintenance system and determine the appropriate criteria and strategies for that play an important role in the cost and longevity of the buildings after construction and during their operation. The purpose of the article is to determine the effective criteria for evaluating buildings based on maintenance and repair (R&M) and finally determining the appropriate strategy for the maintenance of residential buildings, using multi-criteria decision-making methods. These criteria were first identified by reviewing the literature and using the Delphi method to obtain the opinions of maintenance experts. The criteria were then prioritized, based on the SWARA method, and the results were compared and evaluated. Based on comparison, safety, health, environment, and proper utilisation were rated the top four criteria to consider for building R&M. Finally, using the VIKOR[1] method, it was found that the breakdown maintenance (BM) and corrective maintenance (CM) strategies are the best strategies to use for the R&M of residential buildings. [1] Vlse Kriterijumsk Optimizacija Kompromisno Resenje.

This study aims to develop a framework for the selection of sustainable third-party logistics service providers (3PLSPs) for the pharmaceutical industry by developing an integrated decision-making framework based on fuzzy SWARA and fuzzy MAIRCA methods. To achieve this goal, 21 selection criteria were determined within the scope of economic, infrastructure, environmental, and social basic dimensions through literature review and expert opinions. Then, the weights of these criteria were calculated using the fuzzy SWARA method. Finally, alternative sustainable 3PLSPs were ranked using the fuzzy MAIRCA method. The findings indicate that the most crucial criteria for selecting sustainable 3PLSPs are financial stability, industry-specific knowledge and experience, environmental protection, and worker health and safety, corresponding to economic, infrastructure, environmental, and social dimensions, respectively.

Machines are one of the most important production elements used by companies in the production phase. Sudden deterioration in machinery creates a process that can lead to a production halt and therefore a delay in orders. For this reason, enterprises decide to replace their old machines with newer technological machines. This replacement decision is not easy as it includes many criteria and there are many alternative machines on the market. From this point of view, in this study, a real-life application of a company's machinery purchase was made with fuzzy SWARA and fuzzy ARAS methods based on multi-criteria decision-making method. Criterion weights were determined by the fuzzy SWARA method. In the evaluation of alternative machines, the fuzzy ARAS method was taken into consideration. In the study, the criteria determined by the company manager and his team in line with the company needs were taken into consideration. Afterward, four machines were determined among the most suitable machines in the market and frequently used. Finally, calculations were made to find the machine that best meets the criteria required by the company among these machines. As a result of the calculations, the machine needed by the company was decided and the results were interpreted. Key Words: Machine Selection, Multi-Criteria Decision Making, Fuzzy SWARA, Fuzzy ARAS JEL Classification: M10, D70, D81

City is the place of the largest concentration of economic and social activities, and goods delivery is a prerequisite for maintaining the urban life and business activities that encourage the growth and development of the city. Logistics systems and processes that enable the realization of goods flows also support employment and generate income, but moreover they can have negative impacts on all important functions of the city. From the aspect of sustainable development, i.e. social, ecological and economic efficiency, logistics processes, primarily urban freight transport, are far from optimal. The growth of road freight transport and traffic congestion, air pollution and other negative environmental impact, inefficient land use and growth of the goods delivery costs influence the definition and research of various City Logistics (CL) initiatives. Their sustainability depends on the degree of acceptability and interest by the key stakeholders. For this reason, it is very important to identify problems and assess the impacts of the solution on all stakeholders. The main goal of this paper is to analyze the sustainability of political CL initiatives and their ranking in relation to the goals and requirements of different stakeholders, as well as to develop and implement a methodology for solving this problem. The new model of multi-criteria decision-making which combines Delphi, AHP and SWARA methods in the fuzzy environment is developed in this paper.

Steps and maturity of a bioinput for biological control: A Delphi-SWARA application

Identifying and prioritizing the dimensions of technological entrepreneurship ecosystem in conversion industries of Golestan province by combined fuzzy Delphi and Swara methods

Completing a project according to the anticipated budget is one of the most important criteria in a successful construction project. As mega hospital construction projects face various kinds of limitation which affect the cost dramatically, many developing countries such as Iran have focused in these kinds of projects. Only a few studies have been conducted which are associated with cost overrun factors in hospital construction projects in developing countries. The aim of this study is to identify and rank cost overrun factors in mega hospital construction projects of Iran. Delphi and SWARA methods were used in order to align experts’ opinions in categorizing cost overrun factors and weigh the cost overrun factors, respectively. These factors were then allocated to consultants, employers and contractors. The results illustrated that “Unacceptable quality of work which leads to rework” with score of 0.458, “Not allocating sufficient budget from the government during the project” with score of 0.429 and “Lack of supervisors’ technical knowledge” with score of 0.44 were the most crucial factors in contractors, employers and consultant groups, respectively. The identified factors inform the main literature on hospital projects and results in decreasing cost overruns in the mentioned projects.

Recently, occupational fraud has become more pronounced, making its research highly challenging. This study investigates occupational fraud in various industries and high-risk departments using the SWARA and MARCOS methods. The research showed that, according to the results of the SWARA-MARCOS method, the top five sectors for occupational fraud include construction, religious, charitable, or social services, government and public administration, health care, and education. Occupational fraud is most prevalent in the construction sector, while the information industry experiences the least occupational fraud. Retail also has a relatively low incidence of occupational fraud. The key question is how to suppress or minimize occupational fraud across different sectors. This can be achieved through more effective control of collections, cash theft, cash-on-hand disbursements, unauthorized check and payment tampering, corruption, expense reimbursement fraud, financial statement fraud, cashless payments, payroll fraud, registered payments, and skimming. External audits, internal audits, state audits, and forensic accounting and auditing play significant roles in fraud prevention. Additionally, the digitization of entire business operations has a positive effect on the suppression of occupational fraud. It is necessary to develop ethical values among all participants in the value chain. Regarding occupational fraud in high-risk departments, according to the results of the SWARA-MARCOS method, the highest levels of occupational fraud occur in accounting, followed by finance. Other affected departments include Executive/Senior Management, Administrative Support, Procurement, Operations, Customer Service, and Sales. Occupational fraud is least prevalent in sales. Effective control of the accounting process and financial activities can significantly reduce occupational fraud. External audit, internal audit, forensic accounting, and auditing all play significant roles in this regard. The impact of digitizing accounting and financial operations is also noteworthy. Additionally, maintaining strong ethical standards in accounting and finance is crucial.

Human resource management is consisted of all activities that are aimed at ensuring continuous development, satisfying the needs of employees, motivation and retention of employees within the company along with achievement of their goals in an effective manner. Development plan of human resource management in the company is created in accordance with the strategic objectives of the company. Human resource management in the company also has its most important integrative component that is reflected in attracting and retaining employees who possess certain skills and competencies. Therefore, process of recruitment and selection occupies a very important role in the management of human resources. This manuscript propose one approach to problem of personnel selection based on the use of SWARA and WASPAS method. In order to demonstrate efficiency and applicability of the proposed approach, a numerical example is conducted.

With burnout rates highly prevalent in palliative care nurses, it is important to have a holistic understanding of the causes of burnout and strategies both to prevent burnout and to cope with burnout. To understand the causes of burnout and strategies used to prevent and cope with burnout in palliative care nurses. This would allow the implementation of strategies on a personal level and organisational level to mitigate the effects of burnout. A thematic analysis to explore palliative care nurses' experiences and their interpretations. In total, 11 in-depth interviews and one focus group discussion with 19 nurses were conducted. The study participants were recruited from three palliative care units within a health cluster in Singapore and had at least 1 year of experience working in palliative care. Five themes were identified: (a) description of burnout and its attributes; (b) factors that contribute to burnout; (c) triggers that initiate burnout; (d) coping with burnout; and (e) resilience to burnout. The nurses were competent in recognising signs of burnout and understood the use of coping strategies to manage burnout. They were also able to develop resilience to burnout through meaning-making and personal experiences. Helping palliative nurses find a deep purpose in their work builds resilience. Managers, organisation leaders, researchers and peers should look into ways to increase resilience in this group of nurses.

Engaging in research and using evidence based practice are essential for mental health nurses to provide quality nursing care to consumers and families. This paper reports on a Delphi study that identified the top 10 mental health nursing research priorities at one area health service in Australia servicing a population of 840,000 people. Initially 390 research questions were identified by nurses and these were then reduced to 56 broader questions. Finally, the top 10 questions were ranked in order of importance. The priority questions were clinically and professionally focussed and included research into the delivery and organisation of mental health services and the need to design and evaluate new practice paradigms for nurses in the primary care setting. The mental health knowledge and skill set of graduates from Australian comprehensive nursing programmes along with improved recruitment and retention of graduates in mental health were also identified priority areas for research.