shahab bayatzadeh

Efficient management of retail warehouses is associated with multiple challenges, and identifying key criteria for evaluating the performance of these warehouses is of particular importance. The primary research question in this study is: which criteria are more important for evaluating the performance of retail warehouses? In this study, performance-related criteria were initially identified and extracted through a comprehensive review of the literature and analysis of previous research. Subsequently, these criteria were evaluated using the fuzzy Delphi method and expert opinions in the field. In the next step, the validated criteria were ranked and prioritized using the fuzzy Best-Worst Method (FBWM) to determine the relative importance of each criterion. The results of the study indicated that inventory accuracy and transfer time are of high importance and have a direct impact on warehouse productivity and cost reduction. Additionally, labor productivity, picking time, stockout cost, and transfer quality were among other important factors, highlighting the role of human efficiency in improving warehouse performance. Criteria such as transportation cost, safety, and compliance with standards were considered less important compared to others. These findings are consistent with many previous studies and emphasize that accurate inventory management and optimization of warehouse processes are essential for enhancing efficiency. These results can assist managers in making better decisions aimed at improving warehouse performance and increasing customer satisfaction.

This study aimed to investigate the impact of interpersonal interactions on customers' purchase intention in live-streaming e-commerce platforms, with a focus on the mediating roles of psychological distance and cognitive engagement. The research was conducted on Digikala’s Magnet platform, one of the most innovative live-streaming commerce platforms in Iran. The primary objective was to examine the relationships between interpersonal interactions and purchase intention, identify the key factors that enhance customer experience, and provide actionable recommendations to optimize marketing strategies in this domain. Considering the emerging nature of live-streaming commerce in Iran, this study serves as a foundational reference for developing this form of commerce in both domestic and international markets.This descriptive-correlational and cross-sectional study targeted Digikala customers who had experience using the Magnet platform. Using convenience sampling, 284 participants were selected as the study sample. Data were collected through a standardized questionnaire covering interpersonal interactions, psychological distance, cognitive engagement, and purchase intention. The validity of the questionnaire was assessed through content, convergent, and discriminant validity methods, while reliability was confirmed using Cronbach's alpha and composite reliability. Data were analyzed using structural equation modeling (SEM) and advanced statistical software.The study concludes that interpersonal interactions effectively influence purchase intention when they reinforce customers' sense of psychological proximity and cognitive engagement. To achieve this, Digikala is recommended to enhance features such as live chat with sellers, provide interactive and educational content, host live Q&A sessions, and leverage advanced technologies like augmented reality (AR) and virtual reality (VR) to improve customer experience. Additionally, personalizing recommendations and content to align with customers’ needs and preferences can further enhance the effectiveness of these interactions. By offering scientific and practical insights into the role of interpersonal interactions in live-streaming e-commerce, this research can serve as a valuable resource for future studies and the development of improved marketing strategies in this domain.

The wood industry in Iran is one of the key industries with high potential for the production of products such as furniture and interior decoration. However, this industry faces challenges such as traditional structures, lack of modern skills, and limited use of digital technologies, which hinder its competitiveness in both domestic and international markets. Agile thinking, as a strategic approach, can address these issues by enhancing flexibility, quick response capabilities, and continuous learning, paving the way for sustainable growth. This research aims to identify and rank the characteristics of agile thinking and introduce and localize the necessary tools for successful agility implementation in Iran’s furniture and wood decoration industry. The significance of this topic lies in improving competitiveness, reducing costs, and adapting to environmental and market changes.

This descriptive-survey research, with an analytical approach and practical results, utilizes the fuzzy Delphi and fuzzy Fuzzy Order of Comparison (FOC) methods to identify and weigh the factors of agile thinking. In the first step, 17 main factors were identified through a review of literature and previous studies. These factors included characteristics such as flexibility, continuous learning, failure management, and continuous improvement. Then, using a fuzzy Delphi questionnaire, which was provided to 10 experts in the wood and furniture industry, the factors were confirmed and prioritized. In the fuzzy Delphi process, linguistic terms and triangular fuzzy numbers were used to analyze the data, and after two rounds, 12 factors were finally confirmed. In the next step, the fuzzy FOC method was employed to weigh these factors. This method, using fuzzy pairwise comparisons and analysis of the defined constraints in the model, calculated the final weights of the factors. All calculations were performed using LINGO 18 software.

Flexibility, with a weight of 33.5%, was identified as the most important factor. This factor includes sub-factors such as open-mindedness, adequate information, and adaptability to changes, which play a vital role in responding quickly to environmental changes. Failure management, with a weight of 32.8%, was also a prominent factor and includes components such as accepting failure and constructive criticism, which help in learning from past experiences. Learning new skills (18.2%) focusing on in-service training, digital infrastructure, and skill development enhances the capabilities of employees and organizations. Continuous improvement (15.6%), including time management, strengthening accountability, and creating a trust-based environment, contributes to increasing productivity and quality of organizational processes. Data analysis revealed that flexibility and failure management, especially in dynamic industrial environments like the wood industry, play crucial roles in organizational success. Additionally, employee training and fostering a culture of continuous learning are effective tools for adapting to rapid technological and market changes.

The findings suggest that strengthening the agile mindset, including flexibility, continuous learning, and failure management, can enhance agility in Iran’s wood industry and improve its competitiveness in domestic and international markets. These results emphasize the importance of investing in employee training, developing digital infrastructure, and promoting a culture of accepting failure. Moreover, implementing these approaches can improve organizational performance, increase sustainability, and accelerate the transformation of this industry, paving the way for sustainable growth.

The wood industry, especially in the furniture and decoration sectors, is one of the small industries with high entrepreneurial potential that faces numerous challenges in the field of sustainability and resilience due to irresponsible exploitation. The aim of this study is to identify and prioritize criteria for selecting sustainable and resilient suppliers in the Iranian furniture and decoration industry to help reduce environmental impacts, increase productivity, and ensure the continuity of resource supply through improving supply chain performance. This study is designed to fill the scientific gaps in the comprehensive assessment of suppliers in this industry.

This research was conducted to identify and prioritize criteria for selecting sustainable and resilient suppliers in the furniture and decoration industry. The research method was designed analytically and applied with a descriptive-survey approach. First, through a comprehensive review of the research literature, the primary criteria related to supplier selection were identified. These criteria were placed in four main categories: economic, environmental, social, and resilience, and included 17 criteria. In order to verify the identified criteria, the fuzzy Delphi method was used. A questionnaire based on the identified criteria was prepared and distributed among 10 experts in the furniture and decoration industry, including supply chain managers and environmental specialists. The experts were selected based on at least 15 years of work experience and familiarity with the principles of sustainability and resilience. The questionnaires were analyzed in two stages, and the third stage was stopped due to the reduction of the difference in opinions between the responses to less than 0.2. For weighing the criteria, the fuzzy Best-Worst Method (FBWM) was applied. This method calculates the weight of each criterion by selecting the most important and least important criteria and conducting pairwise comparisons. The model was solved using LINGO software, and the final ranking of the criteria was extracted. This method, aiming to reduce subjective errors and manage uncertainties in the data, provides an appropriate approach for prioritization in complex environments like the wood industry.

The results showed that resilience-related and environmental criteria hold higher importance compared to economic and social criteria. This prioritization highlights the crucial role of these two categories in managing the wood supply chain, especially in dealing with disruptions and ensuring the sustainability of natural resources. The criteria examined included Risk Awareness, Sustainable Resource Use, Supply Chain Flexibility, Recovery Capability, Pollution Control, Cost Efficiency, Delivery Timeliness, Worker Safety, Responsiveness, Quality, Environmental Certifications, Community Impact, Financial Stability, Supplier Relationship, Geographical Location, Technology, and Reputation. Risk Awareness (0.171) and Sustainable Resource Use (0.123) were identified as the most significant factors. Supply Chain Flexibility and Recovery Capability also ranked highly. In the economic category, Cost Efficiency and Delivery Timeliness were the most important criteria. Social criteria such as Worker Safety and Community Impact ranked lower, while Supplier Relationship and Reputation received the least importance. These findings emphasize the wood industry’s focus on resilience and environmental protection, with economic and social criteria considered as supporting factors in later priorities.

The findings indicate that in an industry like wood, resilience and environmental sustainability play a key role in supplier selection. This research provides a framework that can assist managers in conducting comprehensive supplier evaluations and making optimal decisions to ensure the continuity of the supply chain and reduce environmental impacts. Future research can further explore global and regional conditions to develop more dynamic models for evaluation.

This study aims to evaluate and rank collaboration models in the Iranian rubber industry supply chain from the perspective of digitalization quality. Digitalization quality refers to the effective use of Industry 4.0 technologies to improve transparency, integration, agility, resilience, and sustainability. The rubber industry was selected due to its operational complexity and urgent need for digital transformation.

A multi-criteria decision-making approach was adopted, combining the Fuzzy Best-Worst Method (BWM) for weighting the evaluation criteria and TOPSIS for ranking the collaboration models. Sensitivity analysis was also conducted to test the robustness of the results under varying criteria weights.

Results indicate that the digital supply chain model ranks highest in terms of digitalization quality, with "technology integration" emerging as the most critical criterion. The sensitivity analysis confirms the robustness and stability of the rankings across different weight scenarios.

 This research provides a unique comparative assessment of collaboration models in the rubber industry based on digitalization quality. The use of a Fuzzy BWM-TOPSIS hybrid method and comprehensive sensitivity analysis provides a novel, practical framework for strategic decision-making in digital supply chain transformation.

This study aims to identify and rank effective digital solutions in managing supply chain disruptions in the Iranian steel industry. The importance of the subject lies in the ability of these technologies to reduce the effects of disruptions and increase the resilience of the supply chain.

This study used multi-criteria decision-making methods, including best-worst fuzzy for weighting criteria and TOPSIS for ranking solutions. Data was collected through a questionnaire and the opinions of five steel industry experts, including university professors and R&D managers.

The study shows that digital twin models ranked first, followed by predictive analytics with artificial intelligence and real-time warning systems based on LoT. These solutions were prioritized due to their ability to improve response time, transparency, and flexibility.

Originality/Value: 

This research presents a quantitative and comprehensive approach to identifying and prioritizing digital solutions and proposes an operational framework for steel industry managers to make more accurate strategic decisions in managing disruptions.

This study aims to identify and analyze the critical success factors in risk management of the cold supply chain for aquatic products. Given the high sensitivity of these products to temperature fluctuations and stringent transportation and storage requirements, proper risk management plays a crucial role in improving quality, reducing waste, and enhancing supply chain efficiency.

In this research, a combination of multi-criteria decision-making methods, including fuzzy Delphi for identifying key factors and fuzzy DEMATEL for analyzing causal relationships among them, was employed. The study sample consisted of 10 experts from the aquatic industry and cold supply chain sector, and data were collected using specialized questionnaires.

The finding of this show that "real-time temperature monitoring," "contingency planning," "transport route optimization," and "training and capacity building" are the most influential causal factors that significantly impact other elements. Conversely, "backup power supply," "redundant storage capacity," "collaboration in the supply chain," and "environmental considerations" were identified as the most affected factors, receiving the highest influence from other variables.

the results showed that improving monitoring systems, adopting real-time tracking technologies, implementing training programs, and enhancing cold chain infrastructure are essential measures for minimizing risks and optimizing the management of the cold supply chain for aquatic products. This study’s results can assist policymakers and industry stakeholders in enhancing the sustainability and efficiency of the cold supply chain.

This study aims to identify and assess the selection criteria for sustainable and resilient suppliers within the steel industry, while focusing on Industry 5.0 concepts. The research highlights the significance of integrating sustainability, resilience, and human-centricity in supply chains to address complex environmental and social requirements.

The identified criteria were authenticated through a fuzzy Delphi method by experts and weighted using the fuzzy Best-Worst Method (BWM). The purposive sampling involved 10 experts with a minimum of 15 years of experience and at least a master's degree in relevant disciplines.

The results revealed that the "human-centricity" criterion holds the utmost importance in supplier selection. Criteria such as "adoption of Industry 4.0 technologies" and "human-robot collaboration" ranked next. Moreover, conventional criteria such as "quality" and "cost reduction" considerably impacted decision-making.

Originality/Value:

 This study represents the first scientific attempt to integrate Industry 5.0 concepts, such as sustainability, resilience, and human-centricity, into the supply chain of Iran's steel industry. The findings provide practical perspectives for managers in developing sustainable and resilient supply chains.

With the emergence of Industry 4.0, supply chains have undergone fundamental changes, profoundly impacting on production and supply processes in various industries. The main goal of this study is to identify and evaluate the important criteria for selecting suppliers in Iran's steel industry, taking into account industry 4.0 technologies and their role in supplier selection.

By studying and reviewing previous researches, the study first identifies the criteria. Then, the Fuzzy Delphi method is employed to confirm these criteria. Weighting and prioritization of criteria is done by using Fuzzy FUCOM method.

The results show that criteria such as quality, price, how to use the internet of things, lead time, settlement method and digital cooperation play an important role in choosing a supplier in Iran's steel industry, considering the role of Industry 4.0 technologies.

Originality/Value: 

For the first time, this research examines the supplier selection criteria in Iran's steel industry, focusing on the technologies and concepts of Industry 4.0. Because decision-making in the real world is often faced with uncertainty, Employing the Fuzzy Delphi and Fuzzy FUCOM methods in this article will make decisions in the selection of suppliers in Industry 4.0 enables more accurate and reliable decision-making.