Optimizing Human Resource Performance Evaluation in Small and Medium Enterprises (SMEs) Using Data Mining Algorithms (Case Study: Tile and Ceramic Companies in Yazd Province)

per1مدیریت فردا2228-60472228-60472026-072484324articleOptimizing Human Resource Performance Evaluation in Small and Medium Enterprises (SMEs) Using Data Mining Algorithms (Case Study: Tile and Ceramic Companies in Yazd Province)amirehsan eshaghiyeh firuzabadidr.eshaghiyeh@gmail.com1Mohammad Zarei Mahmoudabadizarei.m@meybod.ac.ir2Associate Professor, Department of Industrial Management, Meybod University, Meybod, IranAbstract: Background & Objective: The objective of this research is to design a hybrid data mining framework for evaluating human resource performance in SMEs within Yazd's tile and ceramic industry. The primary focus is on overcoming limitations of traditional methods by implementing advanced machine learning algorithms. Methodology: In this applied-developmental research, data from 200 employees in Yazd SMEs, evaluated based on ten key performance indicators (extracted from the literature), were used. Following preprocessing in Python (Google Colab), four data mining algorithms—Decision Tree (CART), K-Nearest Neighbors (K-NN, optimized for Euclidean distance), Naive Bayes, Support Vector Machine (SVM) with RBF kernel, and Logistic Regression—were implemented and evaluated according to accuracy, precision, recall, and F1-score metrics. Key Findings: Logistic Regression achieved the best performance for employee classification, with an accuracy of 98.3% and F1-score of 97%. SVM ranked second with 96.1% accuracy, while Naive Bayes yielded the weakest results (87.5% accuracy). Among input variables, “Professional Development” and “Problem-Solving Ability” had the greatest impact on the final model. Conclusion and Research Value: The logistic regression-based model is capable of reducing performance evaluation errors by 30% compared to conventional SME methods. This framework not only provides an objective structure for human resource management but, thanks to the interpretability of the model, enables identification of performance improvement areas for both current and new employees.http://modiriyatfarda.ir/Article/54316Data Mining Model Human Resource Performance Evaluation Logistic Regression Applied Machine Learning Small and Medium Enterprises (SMEs).per1مدیریت فردا2228-60472228-60472026-072484articlePresenting a human resource management outsourcing model in line with the development of human capital in knowledge-based companies in the country's oil industry Jamshid Nazarinazarijamshid134870@gmail.com1Mahmod Daniali deh hozmahbod88@iau.ac.ir2Masoud Hamzehpourhamzehpour2010@yahoo.com3farhad kianfarkianfar@pnu.ac.ir4PhD student, Department of Human Resources Management, Islamic Azad University, Shushtar Branch Department of Accounting Lz. C.,Islamic Azad University, Izeh Iran ,Assistant professor, Department of Educational Sciences, Payam Noor UniversityObjective: The objective of this research is to present a model of outsourcing human resource management in line with the development of human capital in knowledge-based companies in the oil industry. Methodology: This research is applied in terms of its purpose and descriptive in terms of its data collection method, and is a mixed-type descriptive-exploratory research. The statistical population includes knowledge-based companies in the oil industry of the country and human resource managers and experts from oil companies in Khuzestan province. In the qualitative part, purposeful sampling based on expert consensus was used, and 11 managers were interviewed, and in the quantitative part, convenient sampling was used with 237 people. To collect information in the qualitative part, a semi-structured interview based on a Delphi panel was used, and in the quantitative part, a researcher-made questionnaire based on exploratory factor analysis and paired comparisons were used. The method of data analysis is content analysis of reputable articles and interpretive structural modeling and MIC MAC matrix. Conclusion: Findings: In the form of implementing the Delphi panel, 94 sub-criteria in the form of 15 criteria and 7 main dimensions of "organizational justice, talent acquisition and succession planning, improvement of organizational communications, updating and flexibility of human resources, metallization of human resources, training and planning and modern human resources management" were identified as dimensions of the human resources management outsourcing model, and these factors were used in designing the relevant model. Finally, human resources outsourcing in oil companies is known as a strategic tool for human resources development, and its utilization depends on the capabilities of senior managers of organizations. Originality: This research will help enrich the scientific literature on human resource management strategies. Practically, the research results can provide accurate insights to policymakers and managers to identify appropriate solutions to improve human resource management processes. In addition, outsourcing can help reduce costs, better achieve organizational goals, and maintain the competitive advantage of knowledge-based companies in the oil industry, paving the way for their development.http://modiriyatfarda.ir/Article/54405Outsourcing human resource management human capital development knowledge-based companies in the oil industryper1مدیریت فردا2228-60472228-60472026-07248495114articlePresenting of the customer experience management model based on the effects of the cognitive approach on customer behavior in the aviation maintenance industryمنصور شامردای فرmansour.shamoradi@mut.ac.ir.1Reza i Hosnavhosnavi@mut.ac.ir2Mohammad Hosein Karimi Gavareshki mh_karimi@mut.ac.ir3-Objective Survival in today's economic conditions and competitive business requires a more important factor than low prices and innovative products. Customer experience includes cognitive, emotional, physical, etc. components that determine the customer's path through his indirect interaction with the market agent. This issue highlights the importance of customer experience design and management in various industries, especially customer industries such as the airline industry. The purpose of this research is to provide a framework for explaining the stages of customer experience management in the aviation product maintenance and repair industry. Method Scattered views regarding customer experience management stages in the airline industry and the need for a more precise explanation, in this research, the method of systematic review of theoretical foundations has been used. For this purpose, with a systematic review of theoretical foundations, scientific and professional research as well as field studies in this field have been investigated. Findings It is necessary to identify the customer's perspective and the organizational perspective regarding the experience of customers in the field of B2B business interactions. In this regard, customer experiences are needed effectively in B2B organizations, based on the capabilities of suppliers, customers, partners or external actors. This shows the importance of designing and presenting the framework of the customer experience management model in this industry. Conclusion Taking advantage of customer experience management in aviation industry services will lead to long-term competitive advantage, or in other words, it will increase satisfied and loyal customers along with positive word-of-mouth advertising, as well as customer retention and reduce complaints. Therefore, the application and promotion of customer experience management in airline industry services has a great impact on the differentiation of service providers for competition, and experience management programs will have a significant impact on profitability and increasing credibility in related companies.http://modiriyatfarda.ir/Article/54565Aviation Repair and Maintenance Industry Cognitive Components Customer Experience Management(CEM) Customer Experience.per1مدیریت فردا2228-60472228-60472026-0724843745articleInvestigating the condition of school equipment in Bojnord city from the perspective of ergonomic principlesmalihe ebrahimimaliheebrahimi@kub.ac.ir1Department of Industrial Engineering, Faculty of Basic Sciences and Technical Engineering, Kausar Bojnord UniversityObjective: The educational environment should be in accordance with the accepted health standards in every respect in order to provide a favorable environment for the implementation of education and training programs. Methodology: The present research is a descriptive-analytical survey in terms of practical purpose and in terms of data collection. The method of data collection is using a questionnaire. In the current research, the ergonomic standards questionnaire was used. The statistical population of the study is the students of 4 schools in Bojnoord city. In this research, the reliability of Cronbach's alpha method has been confirmed. Descriptive and inferential analysis method was used using spss software. Conclusion: The mean and standard deviation of the variables were investigated, which indicates the average status of the studied schools in terms of ergonomics. Some variables had an lower average, which was mostly related to sports issues and their unfavorable situation. Meanwhile, sufficient number of windows in the classroom has the highest average, which shows the good condition of Bojnord schools in terms of lighting and ventilation. Comfort in the study hall also has the lowest standard deviation and therefore its average is very reliable. In general, it can be said that the condition of Bojnord schools is average in terms of ergonomics, and most of the problems and deficiencies are related to sports issues, the type of benches, classroom equipment, and the lack of sound insulation.http://modiriyatfarda.ir/Article/54697Ergonomics School equipment Questionnaire Educational environment.per1مدیریت فردا2228-60472228-60472026-0724843762articlePrioritizing export and import service management patterns based on the resistance economy approachحمیدرضا عاملی اردستانیhamid.amel@pnu.ac.ir1Ali Shahnazari DorchehShahnazari@pnu.ac.ir2Objective: The resistance economy seeks to reduce vulnerability to external threats, prevent crises, and revise the current inefficient economic structures and systems. In the resistance economy, efforts are made to reduce dependencies and maximize the benefits of domestic production. Considering the need to prioritize export and import service management patterns based on the resistance economy approach and provide a picture of the types of methods available in Iran and the world, and ultimately facilitate the empowerment of the private sector, this research was conducted with a focus on small and medium-sized companies. Methodology: The approach of this research is inductive with applied goals that seek to describe the framework of the resistance economy and provide appropriate export methods. In terms of method, the present research is descriptive. In terms of data collection, this research is conducted in the field and in the form of a library and through the use of experts active in different industries based on paired comparisons. The data analysis method is based on the opinions of experts in different industries and the use of MADM models. Conclusion: The results of the research are based on prioritizing export and import service management patterns based on the resistance economy approach in interaction with Various industries include, first rank: Export financing and brokerage activity model to tenth rank: Business model based on international trade. It is proposing the target export market and introducing foreign partners and preparing a marketing plan for Iranian companies in target markets.http://modiriyatfarda.ir/Article/54698Management Patterns Export Service Management Business Models Resistance Economy Approach per1مدیریت فردا2228-60472228-60472026-072484131152articleProviding a System Dynamics Model to Manage Natural Gas Consumption in Yazd Provinceشهرزاد چرخکارSh.charkhkar@stu.yazd.ac.ir1Seyyed Habibollah Mirghfoorimirghafoori@yazd.ac.ir2Elahee HosseiniElahee.hosseini@gmail.com3Yazd universityUniversity of YazdThe increasing global demand for energy carriers, limitations on oil production and supply, and the need to replace conventional energy carriers with clean alternatives have created significant opportunities for natural gas and its derivatives to play a prominent role as clean energy carriers worldwide. On the other hand, the complexity of natural gas production and supply and its associated products, along with the lack of an optimal energy consumption pattern, are among the major challenges facing energy policymakers and decision-makers. This study focuses on modeling and simulating natural gas consumption in Yazd Province, Iran. To this end, a system dynamics approach was employed to identify the key variables affecting natural gas consumption and establish their causal relationships in the form of feedback loops. Following the initial simulation of the model based on the existing conditions, different scenarios were developed and analyzed. Based on the simulation results, appropriate strategies and recommendations were proposed for each scenariohttp://modiriyatfarda.ir/Article/54721Energy Planning Natural Gas Gas Consumption Management System Dynamics