جستجوی مقالات مرتبط با کلیدواژه « i?n?v?e?n?t?o?r?y c?o?s?t?s » در نشریات گروه « صنایع »
تکرار جستجوی کلیدواژه «i?n?v?e?n?t?o?r?y c?o?s?t?s» در نشریات گروه «فنی و مهندسی»-
The reliability of each component in a system plays a crucial role, as any malfunction can significantly reduce the system's overall lifespan. Optimizing the arrangement and sequence of heterogeneous components with varying lifespans is essential for enhancing system stability. This paper addresses the redundancy allocation problem (RAP) by determining the optimal number of components in each subsystem, considering their sequence, and optimizing multiple criteria such as reliability, cost uncertainty, and weight. A novel approach is introduced, incorporating a switching mechanism that accommodates both correct and defective switches. To assess reliability benefits, Markov chains are employed, while cost uncertainty is evaluated using the Monte-Carlo method with risk criteria such as percentile and mean-variance. The problem is solved using a modified genetic algorithm, and the proposed method is benchmarked against alternative approaches in similar scenarios. The results demonstrate a significant improvement in the Model Performance Index (MPI), with the best RAPMC solution under a mixed strategy achieving an MPI of 0.98625, indicating superior model efficiency compared to previous studies. Sensitivity analysis reveals that lower percentiles in the cost evaluations correlate with reduced objective function values and mean-variance, confirming the model's robustness in managing redundancy allocation to optimize reliability and control cost uncertainties effectively.
Keywords: Redundancy Allocation Problem, Repairable, Component Sequencing, Markov Chain, Mixed Strategy, Cold Standby} -
Refrigerated trucks in the cold chain enhance the shelf-life of food. In the fruit supply chain (FSC), if each different fruit necessitates its dedicated fleet of refrigerated vehicles, the total cost of the supply chain would increase. On the other hand, if there are several fruits in a single compartment, the quality and freshness of the fruits will be impacted since each fruit requires a different operating temperature. Therefore, partitions are necessary within the container. While the use of cold chain infrastructure will result in a reduction in food loss and an enhancement in food security, it will also incur an increase in the overall cost of the supply chain. Therefore, this paper aims to create a mixed integer non-linear programming (MINLP) mathematical model considering multi-compartment reefer trucks (MCRTs) to minimize the total cost in the FSC. To assess the efficiency of the model, a case study is carried out in India, and the formulated mathematical model is solved using a heuristic approach. The findings indicate that utilizing MCRTs leads to a reduction in the number of vehicles required and a drop in total supply chain cost. Three-compartment reefer trucks offer a more significant cost-saving advantage in the FSC compared to two-compartment reefer trucks. Furthermore, it is noted that operating three distribution centers (DCs) results in a reduction in the overall cost. The decrease in total supply chain costs enhances the affordability of fruits for low-income populations and contributes to the enhancement of food security. In addition to cost reduction, implementing MCRT has also beneficial environmental impacts such as decreased emissions due to a decrease in the number of trucks utilized and reduced food waste.
Keywords: Fruit Supply Chain, Multi-Compartment Reefer Truck, Food Security, Mathematical Model} -
This study examines the role of forensic accounting in enhancing financial transparency and reducing fraud in Jordanian institutions. Using a mixed-method approach, data were collected from 150 respondents including chartered accountants, auditors, financial managers. through a structured questionnaire. The findings reveal that forensic accounting significantly contributes to fraud prevention by supporting government investigations, providing courtroom testimony), and developing financial management systems. Additionally, forensic accountants play a crucial role in preparing key reports for government activities. The correlation analysis shows strong interdependencies between forensic accounting’s roles in arbitration and fraud detection. While most hypotheses were confirmed, challenges were noted in applying forensic accounting within the public sector. The study concludes by recommending that policymakers strengthen the integration of forensic accounting into Jordan's financial regulatory framework to enhance its effectiveness, particularly in the public sector. This research highlights the vital role of forensic accounting in maintaining financial integrity and provides a foundation for future studies.
Keywords: Forensic Accounting, Financial Transparency, Fraud Prevention, Fraud Detection, Internal Controls} -
This research investigated the problem of joint inventory control and pricing for non-instantaneous deteriorating products; while, the quantity dependent trade credit is allowed. It was observed here that the buyer order amount is equal or more than the amount specified by the seller. The Shortage was not permitted in the system. It was aimed in present study to find a procedure for achieving the optimal selling price and replenish cycle and to be able to maximize the system's profit. To do so, first, the system's total profit function was derived. Then, the uniqueness of the optimal replenishment cycle for a given price was proved. Next, the concavity of the total profit function concerning the price was revealed, depending on the trade credit policy. Thereafter, an algorithm was provided to fulfill the optimal solution and eventually a dual-purpose numerical analysis was carried out both to show the model performance and to evaluate the sensitivity of the main parameters.
Keywords: Pricing, Inventory Control, Quantity Dependent Trade Credit, Non-Instantaneous Deteriorating Items} -
Optimizing production in the plastic extrusion industry is a pivotal task for small scale industries. To enhance the efficiency in today’s competitive market being a small-scale manufacturer over their peers is challenging. With the limited resources, having constraints on manpower, capital, space, often facing fluctuations in demand and production, simultaneously maintaining high quality became very important for the success. Among the plethora of KPIS used in manufacturing, Overall Equipment Effectiveness (OEE) stands out as corner stone. In this study, we collected real-world data from a plastic extrusion company. i.e., an HDPE Pipe manufacturing company. It serves as the backdrop for our study, this is based on the plastic extrusion sector and set out a goal of enhancing OEE through a comparative investigation of various ML models. To forecast and estimate OEE values, we used various Machine Learning models and examine each algorithm’s performance using metrics like Mean Squared Error (MSE) and model comparisons using the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC), creating a comprehensive picture of each algorithm’s strength which enables the small businesses to make informed decisions and empowers them to stay agile and adapt to the changes in the manufacturing environment.
Keywords: Machine Learning, Overall Equipment Effectiveness, Deep Learning, Akaike Information Criterion, Bayesian Information Criterion} -
Maintenance plan efficacy traditionally prioritizes long-term predicted maintenance cost rates, emphasizing performance-centric approaches. However, such criteria often neglect the fluctuation in maintenance costs over renewal cycles, posing challenges from a risk management perspective. This study challenges conventional solutions by integrating both performance and robustness considerations to offer more suitable maintenance options. The study evaluates two representative maintenance approaches: a block replacement strategy and a periodic inspection and replacement strategy. It introduces novel metrics to assess these approaches, including long-term expected maintenance cost rate as a performance metric and variance of maintenance cost per renewal cycle as a robustness metric. Mathematical models based on the homogeneous Gamma degradation process and probability theory are employed to quantify these strategies. Comparative analysis reveals that while higher-performing strategies may demonstrate cost efficiency over the long term, they also entail greater risk due to potential cost variability across renewal cycles. The study underscores the necessity for a comprehensive evaluation that balances performance and resilience in maintenance decision-making. By leveraging the Monte Carlo Method, this research offers a critical appraisal of maintenance strategies, aiming to enhance decision-making frameworks with insights that integrate performance and robustness considerations.
Keywords: Maintenance Planning, Robustness, Block Replacement Strategy, Periodic Inspection, Replacement Strategy, Monte Carlo Method} -
International Journal of Supply and Operations Management, Volume:11 Issue: 3, Summer 2024, PP 250 -283Supply chain cybersecurity has become a critical concern for organizations due to the increasing frequency of cyber threats that endanger sensitive information, disrupt operations, and cause financial harm. This survey article presents the outcomes of a comprehensive study aimed at deepening our understanding of the challenges and best practices in supply chain cybersecurity. It provides a comprehensive review of critical applications that are susceptible to cyber threats across various sectors of the supply chain. The literature review identifies two distinct categories of approaches utilized to secure the supply chain: traditional and innovative methods. Both categories are extensively examined, providing valuable insights into the current state of supply chain cybersecurity. The findings of this study serve as a valuable resource for organizations seeking to enhance their cybersecurity strategies and fortify their resilience against evolving cyber threats. Furthermore, this research contributes to the knowledge base of supply chain management by facilitating the development of robust and efficient supply chain cybersecurity frameworks. By understanding vulnerabilities and best practices, organizations can proactively tackle cybersecurity challenges and safeguard their supply chains effectively. This survey article empowers organizations with practical insights and guidance to enhance their cybersecurity posture in the dynamic landscape of supply chain operations.Keywords: Supply Chain Management, Cybersecurity, Physical Security, Blockchain Technology, Artificial Intelligence, Physically Unclonable Function}
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International Journal of Supply and Operations Management, Volume:11 Issue: 3, Summer 2024, PP 334 -350In the context of a supply chain, individuals engage in cooperative efforts to optimize their financial gains. The present article represents a study of a supply chain model that incorporates a two-level trade credit policy. The model focuses on a scenario where a supplier offers a product with a market demand that is reliant on the credit duration. The study centers on the strategies employed by suppliers to motivate retailers to increase their orders through the use of trade credit, with the aim of maximizing their own profits. The analysis takes into account the influence of credit period-dependent default customers. A set of examples is provided and the sensitivity is studied to show the recommended technique. Finally, the equilibrium solution has been derived from the supplier Stackelberg game and examined using numerical examples in the scenario when the supply offers a higher credit than the retailer. The outcomes of the numerical illustrations indicate that a supplier can achieve greater profitability by electing an adequate range of credit periods. Furthermore, this study demonstrates a significant correlation between the duration of credit, market demand, and the profitability of both the retailer and supplier with the demand coefficient, the price involved in the model, and the coefficient of default risk.Keywords: Two-Level Trade Credit, Delay In Payments, Default Risk, Supplier-Stackelberg}
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International Journal of Supply and Operations Management, Volume:11 Issue: 3, Summer 2024, PP 367 -389Population growth has led to more food demand, especially meat. Designing a supply chain, especially a meat one, is complicated due to the uncertainty of food demand and the perishability of meat. To this aim, we develop a multi-objective mixed-integer linear programming model. The developed model contains four echelons, i.e., farms, slaughterhouses, retailers, and customers. The first objective function minimizes the total costs, the second objective minimizes the distribution time, and the third objective minimizes the network's non-resiliency simultaneously. An enhanced version of the augmented ε-constraint method is employed to solve the suggested model, and a set of Pareto–optimal solutions is found. This study also explores the impact of using the robust possibilistic approach in modeling a supply chain network under uncertainty. Numerical experiments demonstrate that the robust optimization approach brings significantly superior outcomes in comparison to the conventional deterministic approach, and the model provides a practical and valuable tool for real-world supply chain challenges.Keywords: Meat Supply Chain, Resiliency, Uncertainty, Improved Augmented Ε-Constraint, Multi-Objective Programming, Robust Possibilistic Approach}
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International Journal of Supply and Operations Management, Volume:11 Issue: 3, Summer 2024, PP 316 -333Effective vendor-buyer collaboration is a successful supply chain management (SCM) cornerstone. By working together, both parties can achieve significant benefits. This collaboration approach fosters open communication, which allows for better communication, improved efficiency, service levels, and reduced costs, i.e., a win-win situation. Ultimately, this partnership strengthens the entire supply chain, increasing efficiency and profitability for vendors and buyers. This study aims to investigate the dynamics of collaboration between supply chain partners. It focuses on a scenario where a single vendor supplies a single product to multiple buyers through a vendor-managed inventory (VMI) and consignment stock (CS) agreement. Managing inventory and product quality is a key challenge, as the components may be imperfect. Buyers are responsible for inspecting these items, but the process is susceptible to misclassification. To address these issues, the research aims to develop an optimization model that incorporates costs associated with collaboration, quality, inspection, and potential misclassification. In addition, developing a methodology to identify the optimal solution minimizes overall costs and maximizes benefits for both vendors and buyers. Furthermore, a numerical example is presented for tangible illustration, offering practical insights into the benefits of partner collaboration in SCM. The findings underscore the efficacy of implementing a collaborative approach between vendors and buyers to minimize supply chain costs. This collaborative policy necessitates a willingness from both parties to forgo their individual cost-minimization strategies in favor of optimizing the overall system cost through cooperation. Through this sacrifice, synergistic benefits emerge, resulting in enhanced efficiency, reduced expenses, and improved overall performance within the supply chain ecosystem.Keywords: Inventory Management, Collaboration Policy, Consignment Agreement, Quality Inspection, Cost Reduction}
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International Journal of Supply and Operations Management, Volume:11 Issue: 3, Summer 2024, PP 284 -299In modern business, industries like electronics, aircraft, automobiles, etc., keep products in circulation through processes like reuse, remanufacture, and recycling to produce the original products while keeping environmental sustainability at the centre. Therefore, circularity index directly affects the demand and selling price of the products. Further, these industries are also applying 3D printing techniques to reduce the level of waste from the process as much as possible. 3D printing continues to evolve, it promises to reshape manufacturing, healthcare, and various other sectors, unlocking new possibilities for innovation and customization. So, to address all these issues, a smart production inventory model is proposed in the current study considering shortages, 3D printing technique, production rate depended wastage, green investment technology, and a circularity index. Demand rate of product is considered as the function of the circularity index. Objective of current study is to obtain the optimal values of production rate, production period, and cycle time so that overall inventory cost is minimum. In current study, calculus-based optimization technique has been used to obtain the optimal solution. Finally, numerical analysis is provided to validate the proposed inventory model. The results show that circularity and 3D printing technique help to reduce waste from the system. In addition to this, emitted carbon level from the system is dropped from the production system. Managerial insights based on key parameters is also provided. At the end, future extension of the current model along with concluding remarks is incorporated.Keywords: 3D Printing, Carbon Emission, Circular Economy, Green Investment, Waste Management}
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Journal of Industrial Engineering and Management Studies, Volume:11 Issue: 1, Winter-Spring 2024, PP 110 -126The current research is a descriptive survey in terms of its purpose in the field of applied research and based on its nature and method. In this research, Delphi, Fuzzy Dimetal, and Fuzzy Network Analysis methods have been used. The results of this research showed that the most important indicators of selecting an innovative supplier from the perspective of cooperation are: the supplier's ability, supplier's willingness, and supply risk. In the first step, the fuzzy Dimetal technique was used to reflect the mutual relationships between the criteria. In this way, at first, the matrix of the direct relationship of indicators was formed. According to the results, the willingness of the supplier has the most influence and has the most interaction with other criteria. In the next step, the main criteria of the research were prioritized, and it was found that the ability of the supplier and the willingness of the supplier and the supply risk are the first to third priority respectively. Finally, based on the calculations and the limit supermatrix, it was determined that the geographic proximity index is the priority. The ability of the supplier with a normal weight of 0.366 has the highest priority, the willingness of the supplier with a normal weight of 0.365 is the second priority, and the supply risk with a normal weight of 0.269 has the lowest priority. Finally, based on the calculations and the limit supermatrix, it was determined that "geographical proximity" with a weight of 0.1739 is the priority. "Organizational closeness" with a weight of 0.0936 is the second priority. "Commitment to continuous improvement in product and process" with a weight of 0.0833 is the third most important index.Keywords: Supplier Selection, Supply Chain, Supplier Ability, Supplier Willingness, Supply Risk}
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Journal of Industrial Engineering and Management Studies, Volume:11 Issue: 1, Winter-Spring 2024, PP 84 -96Maintenance management along with production planning and control are two major components of production systems and operation management. In this paper, a production system that has two operational states plus a failure state is considered. In this system, maintenance actions are carried out based on the age-based policy which means the maintenance is performed after passing a specified time from the age of the system or after a system failure whichever occurs first. According to the random variables of the system failure, i.e., transition among the states of the system, two approaches are proposed to model the age-based policy considering different scenarios and their respective probabilities that may occur in the age-based policy. Both models aim to optimize the expected cost of the system per time unit, while the optimal time to terminate the production cycle and conduct preventive maintenance is determined as the main decision variable of the models. Some numerical examples employing different statistical distributions for the system failure mechanism, e.g., Weibull, gamma, normal, are also provided.Keywords: Maintenance Management, Age-Based Maintenance, Run-To-Failure Policy, Mathematical Models}
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Journal of Industrial Engineering and Management Studies, Volume:11 Issue: 1, Winter-Spring 2024, PP 19 -40
Human errors are a growing threat to EHR technology adoption and information sharing. Healthcare data breaches and criminal attacks continue to increase in volume and complexity. To achieve the full benefits of EHR technology, the industry must place the protection of health information as its highest priority. This paper presents the results of a systematic literature review of socio-technical system (STS) factors that influence human error in EHR data breaches. We present a conceptual framework of the STS factors that are hypothesized to reduce human error data breaches in the healthcare sector. The existing literature highlights a research gap in terms of understanding and modeling of human-computer interactions and the consideration of STS factors when developing solutions, signifying a need for further research in this domain. Hence, we recommend future research into the formulation and implementation of a STS approach to mitigate human error in information security, aiming to enhance the resilience of EHR and make them less attractive to cybercriminals.
Keywords: Healthcare-Data Breaches, Electronic Health Records, Cybersecurity-Human Error, Risk-Methods, Socio-Technical Systems} -
پژوهش حاضر به دنبال شناسایی سرمایه های سازمانی در اداره کل ثبت اسناد و املاک استان خوزستان و ارزیابی آن در دوران کرونایی بوده است. رویکرد این پژوهش کیفی- کمی و از نوع کاربردی است. جامعه آماری تحقیق در بخش کیفی، 15 نفر از خبرگان اداره کل ثبت اسناد و املاک استان خوزستان به روش غیرتصادفی هدفمند انتخاب شد. جامعه آماری تحقیق کارکنان در بخش کمی، 153 نفر ازکارکنان اداره کل ثبت اسناد و املاک استان خوزستان که براساس فرمول کوکران و به روش تصادفی طبقه ای نسبی طبق جدول انتخاب شد. ابزار گردآوری اطلاعات در بخش کیفی مصاحبه ودر بخش کمی، پرسشنامه بود که روایی و پایایی آن بررسی و تایید گردید. اطلاعات بدست آمده در بخش کیفی با استفاده از تحلیل مضمون (تم) و در بخش کمی با استفاده از مدل سازی معادلات ساختاری و با بکارگیری نرم افزارهای مکس کیودا و اسمارت. پی. ال. اس تجزیه و تحلیل گردید. نتایج نشان داد که فرهنگ سازمانی، مدیریت دانش، سیستم ها و فرایندهای مدیریت، ساختار سازمانی، مدیریت مالی، تحقیق و توسعه، تعاملات درون سازمانی، امنیت شغلی ادراک شده و سرمایه فیزیکی به عنوان سرمایه های سازمانی استخراج گردیدند. از سوی دیگر، نتایج آزمون تی نشان داد مقوله های امنیت شغلی، سرمایه فیزیکی، تعاملات درونی و فرایندهای مدیریت به شکل مناسبی مورد توجه قرار نگرفته است. هر چند میانگین سایر مولفه ها تا حدودی از وضعیت مناسب تری برخوردار هستند. لیکن وضعیتی در خور شایسته این اداره کل ثبت اسناد و املاک استان خوزستان نمی باشد.
کلید واژگان: سرمایه های سازمانی, امنیت شغلی, سرمایه فیزیکی, تعاملات درونی, فرایندهای مدیریت.}The aim of the study was to identify organizational capital in the General Department of Documents and Property Registration in Khuzestan province and to evaluate it during the COVID-19 pandemic. The approach of this research is mixed (qualitative-quantitative) and applied. The statistical universe of the research in the qualitative part included 15 experts from the General Department of Documents and Property Registration in Khuzestan province, who were selected in a non-random and purposeful way. The statistical universe in the quantitative section consisted of 153 employees of this department, who were selected based on the Cochran formula and a relative stratified random method according to the table. The instrument for data collection in the qualitative part was interviews, and in the quantitative part, a questionnaire, whose validity and reliability were checked and confirmed. The information obtained in the qualitative section was analyzed using thematic analysis, and in the quantitative section using structural equation modeling with Max Kuda and Smart PLS software. The results showed that organizational culture, knowledge management, systems and processes of management, organizational structure, financial management, research and development, intra-organizational interactions, perceived job security, and physical capital were identified as organizational capitals. On the other hand, the results of the T-test showed that the categories of job security, physical capital, internal interactions, and management processes have not been properly considered. Although the averages of other components were somewhat better, the overall situation is not suitable for the General Department of Documents and Property Registration in Khuzestan province.
Keywords: Organizational Capital, Job Security, Physical Capital, Internal Interactions, Management Processes} -
امروزه مسائلی از قبیل کاهش منابع انرژی، آلودگی های زیست محیطی، افزایش خسارت های مادی و معنوی ناشی از سوانح و تصادفات، نظارت و مدیریت حمل و نقل برون شهری، افزایش زمان های تلف شده و روند رشد سریع تقاضای حمل و نقل در دنیا به یک مشکل جدی در بخش حمل و نقل جادهای تبدیل شده است. این در حالی است که وجود حمل و نقل روان و ایمن از اساسی ترین زیرساخت های توسعه و افزایش سطح بهزیستی و رفاه اجتماعی هر کشور است. از دیگر سو رشد سریع فناوریهای نوظهور که نقش پیشران در صنایع و بخشهای مختلف اقتصادی دارند و صنعت حمل و نقل را به سمت هوشمندسازی، افزایش کارایی و بالابردن سطح کیفیت خدمات رهنمون میشوند، مورد توجه سیاستگذاران و برنامهریزان کشور قرار گرفته است تا با بهره گیری از این فناوریهای نوظهور مشکلات جدی این حوزه را مرتفع نمایند. بدلیل محدودیت منابع طبیعتا نخست شناخت فراگیر و سپس اولویتبندی این فناوریها می تواند گامی برای برون شد از شرایط حاضر باشد. به همین منظور در این پژوهش تلاش شده تا با انجام مطالعات کتابخانهای فناوری های نوظهور در حمل و نقل جادهای شناسایی شده و سپس با استفاده از روش تصمیمگیری چند معیاره (تاپسیس) اولویتبندی آنها صورت پذیرد. نتایج بیانگر آن است که با توجه به شاخصهای اهداف راهبرد ملی در این بخش، فناوری «شبکه های ارتباطی هوشمند» در رتبه اول و پس از آن با اختلاف اندک فناوریهای «اتوماسیون ترافیک» و «اتوبوسهای هوشمند» در رتبه های دوم و سوم و با شاخصی نزدیک به رتبه اول قرار دارند.
کلید واژگان: فناوریهای نوظهور, حمل و نقل جادهای, شناسایی فناوری, ارزیابی فناوری, تصمیمگیری چندمعیاره.}In today's world, issues such as the depletion of energy resources, environmental pollution, the increase in material and spiritual damages caused by accidents, the supervision and management of intercity transportation, the increase in wasted time, and the rapid growth of transportation demand in the world have become a serious problem in the road transportation sector. This is while the existence of smooth and safe transportation is one of the most fundamental infrastructures for development and increasing the level of well-being and social welfare in any country. On the other hand, the rapid growth of emerging technologies that play a driving role in various industries and economic sectors and guide the transportation industry towards becoming intelligent, increasing efficiency, and raising the level of service quality has attracted the attention of policymakers and planners in the country to use these emerging technologies to solve the serious problems in this field. Due to the limitations of resources, naturally, a comprehensive understanding and then prioritization of these technologies can be a step towards getting out of the current situation. In this research, an attempt has been made to identify emerging technologies in road transportation by conducting library studies and then prioritizing them using the multi-criteria decision-making method (TOPSIS). The results indicate that according to the indicators of national strategic goals in this sector, the "smart communication networks" technology ranks first, followed closely by "traffic automation" and "smart buses" technologies in the second and third ranks, respectively, with an index close to the first rank.
Keywords: Emerging Technologies, Road Transportation, Technology Identification, Technology Assessment, Multi- Criteria Decision Making (MCDM), TOPSIS} -
عدم شناخت صحیح کسب و کارهای الکترونیکی از عوامل رضایت مندی مشتریان و همچنین بازار هدف خود می تواند به عدم مدیریت صحیح منابع محدود آنها منجر شودکه در نهایت این عامل می تواند شکست و نابودی را برای این کسب وکارها به ارمغان آورد. این کسب و کارها در ابداع شیوه های جدیدی که به تغییرات فناوری و افزایش توانایی تولید منجر خواهد شد نقش مهمی ایفا می کنند. می توان گفت چنین واحدهایی در جستجوی تغییر و تحول و رقابت هستند، چون در حال دگرگون کردن ساختار کلی بازارند همچنین ایجاد و توسعه ی این کسب وکارها سیاستی مهم در ایجاد مشاغل جدید، تسریع در بهبود اوضاع اقتصادی و رشد کشورها بشمار می رود. از این رو باید توجه ویژه ای به کسب و کارهای نوپا گردد. لذا این پژوهش در ابتدا با بررسی مدل های مختلف رضایت مندی مشتریان به ارائه مدلی بومی و سپس با استفاده از روش بهترین- بدترین فازی عوامل رضایت مندی مشتریان کسب وکارهای الکترونیکی را وزن دهی و با استفاده از تکنیک تاپسیس فازی یکی از دسته های کسب و کارهای الکترونیکی یعنی فروشگاه های اینترنتی را مورد بررسی قرار داد. نتایج تحقیق نشان داد که این مدل با کارایی محاسباتی و سازگاری بالا اولویت دهی عوامل رضایت مشتریان را مشخص می کند. همچنین معیار ارتباطات و تعاملات به عنوان بهترین معیار و بعد از آن کیفیت محصول و خدمات، قیمت/ زمان، فروش و خدمات پس از فروش به ترتیب در رتبه های بعد قرار گرفتند.
کلید واژگان: رضایت مشتری, کسب وکار الکترونیکی, روش بهترین- بدترین معیار فازی, فروشگاه اینترنتی, روش تاپسیس فازی.}Failure to properly manage limited resources can ultimately lead to failure for these businesses. These businesses play an important role in inventing new methods that lead to technological changes and increased production capacity. It can be said that such units are driven by change and competition, as they alter the overall structure of the market. The creation and development of these businesses is an important policy for creating new jobs, accelerating economic improvement, and fostering the growth of countries. Therefore, special attention should be paid to new businesses. This research aims to identify important factors by examining different models of customer satisfaction as well as theses and papers in this field. By presenting an indigenous model, the research first uses the best-worst fuzzy method to weight the e-business customer satisfaction factors. Then, using a fuzzy TOPSIS technique, it examines one category of e-business, namely online stores, and ranks them in terms of customer satisfaction criteria. The results show that this model, with high computational efficiency and compatibility, highlights the priority of customer satisfaction factors. Additionally, communication and interaction criteria were ranked as the most important, followed by product and service quality, price/time, and sales and after-sales service. Interactions, value/time benchmarking, quality benchmarking, and ultimately sales and after-sales service warranty were identified as the best sub-criteria.
Keywords: Customer Satisfaction, E-Business, Fuzzy Top-Worst Method, Online Store, Fuzzy TOPSIS Method} -
هدف اصلی از انجام این مطالعه بررسی نقش تعدیل گر عوامل زمینه ای برندسازی محصولات سبز در تاثیر شرایط بخش خصوصی و عمومی بر پیامدهای کارکردی برند سبز با تاکید بر بسترهای برندسازی محصولات سبز است. پژوهش حاضر از نظر هدف کاربردی است و در زمره پژوهش های توصیفی از نوع پیمایشی قرار می گیرد. این پژوهش از نظر فلسفه، قیاسی است که بر مبنای پارادایم اثبات گرایی اجرا شده است از نظر شاخص زمانی نیز مقطعی محسوب می شود برای سنجش متغیرهای پژوهش از پرسشنامه محقق ساخته استفاده شده است. داده های پژوهش با استفاده از مدل سازی معادلات ساختاری و نرم افزار پی ال اس تحلیل شده است. جامعه آماری مورد مطالعه مدیران و کارشناسان واحدهای بازاریابی و فروش شرکت های فعال در صنعت روغن موتور است که تعداد آنها 267 نفر است و با توجه به فرمول کوکران حجم نمونه 157 نفر تعیین شده است در این راستا ضمن مرور بر ادبیات موضوع و استفاده از منابع کتابخانه ای محقق از پرسشنامه ای برای جمع آوری اطلاعات استفاده کرده است روایی محتوایی با استفاده از فرمول لاوشه و پایایی با استفاده از فرمول آلفای کرونباخ سنجیده شده است. فرضیات این پژوهش با استفاده از مدل معادلات ساختاری و با استفاده از نرم افزار پی ال اس مورد آزمون قرار گرفت. نتایج در پایان حاکی از تاثیر مثبت برندسازی محصولات سبز در تاثیر شرایط بخش خصوصی و عمومی بر پیامدهای کارکردی برند سبز است. همچنین بسترهای برندسازی محصولات سبز نقش میانجی در تاثیر عوامل زمینه ای برندسازی محصولات سبز را داشتند.
کلید واژگان: برند سبز, شرایط بخش خصوصی و عمومی, کارکرد برند سبز, بسترهای برندسازی}The main purpose of this study is to investigate the moderating role of green product branding background factors in the effect of private and public sector conditions on the functional consequences of the green brand, with an emphasis on the platforms of green product branding. The present research is practical in terms of its purpose and is classified as a survey-type descriptive research. From the point of view of philosophy, this research is an analogy based on the paradigm of positivism. From the point of view of the time index, it is cross-sectional. A researcher-made questionnaire was used to measure the variables of the research. The research data has been analyzed using structural equation modeling and PLS software. The statistical population studied is managers and experts of marketing and sales units of companies active in the motor oil industry, whose number is 267 people, and according to Cochran's formula, the sample size is 157 people. In this regard, while reviewing the subject literature and using library resources The researcher has used a questionnaire to collect information, content validity has been measured using the Lausche formula and reliability has been measured using the Cronbach's alpha formula. The hypotheses of this research were tested using the structural equation model and PLS software. In the end, the results indicate the positive effect of green product branding on the effect of private and public sector conditions on the functional consequences of the green brand. Also, green product branding platforms played a mediating role in the influence of green product branding background factors.
Keywords: Green Brand, Conditions Of Private, Public Sector, Function Of Green Brand, Platforms Of Branding} -
با توجه به اینکه یکی از اکوسیستم های در حال شکل گیری در ایران اکوسیستم کسب وکارهای الکترونیک در حوزه آموزش می باشد، تحلیل این اکوسیستم وشناسایی بازیگران اصلی آن و نقش هر یک از آنها می تواندبرای هدایت این اکوسیستم در جهت ایجاد ارزش قابل توجه برای هریک از بازیگران آن موثر و مفید باشد. بنابراین هدف از انجام این تحقیق، شناسایی ابعاد و عوامل اکوسیستم کسب وکارهای الکترونیکی آموزشی در ایراناست که تلاش دارد به این سوال پاسخ دهد که"ابعاد و عناصر اصلی در اکوسیستم کسب وکارهای الکترونیکی آموزشی درایران چیست؟"این پژوهش از لحاظ هدف کاربردی است وبرای شناسایی ابعاد اکوسیستم کسب وکارهای الکترونیکی آموزشی از روش تحلیل محتوای کیفی(تحلیل تم)بهره گرفته شد. جامعه آماری شامل کارآفرینان و خبرگان فعال حوزه کسب وکارهای الکترونیکی و مالکان و مدیران کسب وکارهای اینترنتی و نیز خبرگان دانشگاهی بودند.که از بین آنها 12 نفر با استفاده از راهبرد نمونه گیری گلوله برفی و بصورت هدفمند و غیرتصادفی تا مرحله اشباع نظری انتخاب شدند.تجزیه و تحلیل کیفی داده ها با استفاده از نرم افزار مکس کیودا نسخه 11 انجام گرفت.نتایج پژوهش حاضر، ارائه 527 کدباز در قالب 130 مقوله محوری و 15 تم بود و بر اساس این 15 تم ، ابعاد اکوسیستم کسب وکارهای الکترونیکی آموزشی مشخص شدند.در انتها نیز پیشنهادهای کاربردی متناسب با نتایج تحقیق، ارائه شده است.
کلید واژگان: اکوسیستم کسب وکار, کارآفرینی فناوری, کسب و کار دیجیتالی, کارآفرینی دیجیتال, کسب و کارالکترونیک, اکوسیستم کسب وکار الکترونیک, اکوسیستم یادگیری الکترونیکی}Summary:Considering that one of the ecosystems that are being formed in Iran is the ecosystem of electronic businesses in the field of education, the analysis of this ecosystem and the identification of its main players and the role of each of them can be used to guide this ecosystem in order to create significant value for each. To be effective and useful from its actors. Therefore, the purpose of this research is to identify the dimensions and factors of the educational e-business ecosystem in Iran, which tries to answer the question, "What are the main dimensions and elements in the educational e-business ecosystem in Iran?"This research is practical in terms of purpose and qualitative content analysis method (theme analysis) was used to identify the dimensions of the educational e-business ecosystem. The statistical population included entrepreneurs and active experts in the field of electronic businesses and owners and managers of internet businesses, as well as academic experts. Among them, 12 people were selected using the snowball sampling strategy in a purposeful and non-random way until the theoretical saturation stage. Qualitative data analysis was done using Max Kyuda version 11 software. The results of this research were 527 open codes in the form of 130 core categories and 15 themes, and based on these 15 themes, the dimensions of the educational electronic business ecosystem were determined. At the end, practical suggestions are provided according to the research results.
Keywords: Business Ecosystem, Technology Entrepreneurship, Digital Business, Digital Entrepreneurship, Electronic Business, Electronic Business Ecosystem, Electronic Learning Ecosystem} -
با توجه به مزایای بالقوه فناوری بلاکچین برای مدیریت زنجیره تامین و پایدار نمودن آن، میزان اتخاذ این فناوری چشمگیر نبوده است؛ لذا ضرورت شناسایی و اولویتبندی موانع به کارگیری بلاکچین جهت پایدار نمودن زنجیرههای تامین به شدت احساس میشود. در این مطالعه، موانع استفاده از فناوری بلاکچین در زنجیره تامین صنایع غذایی ایران، طبق مطالعات ادبیات تحقیق و نظریه TOE، از سه منظر فناورانه (T)، سازمانی (O) و محیطی (E) مورد بررسی قرار گرفت. در نتایج این تحقیق، 12 عامل موثر نیز در سه دسته بندی نظریه TOE به عنوان موانع پذیرش فناوری بلاکچین در زنجیره تامین صنایع غذایی شناسایی و استخراج شد. موانع شناسایی شده به دنبال نظرات خبرگان دانشگاهی و کارشناسان فعال در حوزه صنعت غذایی بررسی و با استفاده از ابزارهای غربالگری دلفی فازی و بر اساس مدل سازی ساختاری تفسیری (ISM) اعتبار موانع، صحت سنجی و سطوح و روابط آن ها مشخص شد و سپس بر اساس مدل تصمیم گیری چند معیاره با روش فرآیند تحلیل شبکه ای (ANP) تحلیل و رتبه بندی گردید. نتایج نشان می دهد که عامل سازمانی به عنوان بحرانی ترین مانع و عوامل فناوری و محیطی به ترتیب به عنوان رتبه های بعدی موانع در بین خبرگان و کارشناسان صنعت غذایی کشور می باشد. این مقاله، بینش های نظری و عملی را ارائه می دهد که درک پژوهشگران این حوزه را از عوامل موثر بر پذیرش بلاکچین در زنجیره های تامین صنایع غذایی بهبود می بخشد و راهنمایی هایی را به مدیران و سیاست گذاران ارائه می دهد که چگونه می توانند تلاش های خود را به بهترین نحو جهت افزایش پذیرش این فناوری هدایت نمایند.
کلید واژگان: فناوری بلاکچین, پایدارسازی زنجیره تامین, موانع پذیرش, نظریه TOE, فرآیند تحلیل شبکه ای (ANP)}Considering the potential benefits of blockchain technology to manage the supply chain and its sustainability, the adoption rate of this technology has not been impressive; Therefore, the necessity of identifying and prioritizing the obstacles to the use of blockchain in order to sustainability of supply chains is strongly felt.In this study, the obstacles to the use of blockchain technology in the supply chain of Iran's food industry, according to research literature studies and TOE theory, were investigated from three perspectives: technological (T), organizational (O) and environmental (E). In the results of this research, 12 effective factors were also identified and extracted in three categories of TOE theory as obstacles to the adoption of blockchain technology in the supply chain of the food industry. Identified obstacles were investigated following the opinions of academic experts and using fuzzy Delphi screening tools and based on ISM, the validity of obstacles, validity and their levels and relationships were determined and then analyzed and ranked based on the Analytical Network Process (ANP) method. The results show that the organizational factor is the most critical obstacle and the technological and environmental factors are the next ranked obstacles among the experts of the country's food industry. This paper provides theoretical and practical insights that improve researchers' understanding of the factors influencing blockchain adoption in food industry supply chains and provides guidance to managers and policy makers on how to best focus their efforts to increase adoption. Guide this technology.
Keywords: Blockchain Technology, Chain Stabilization, Adoption, TOE Theory, Network Analysis (ANP)}
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