Radio Frequency Identification Device (RFID) has been widely recognized as a useful tool for effectively managing firms’ supply chain activities. Extant research on RFID in the supply chain domain has focused on implementing this technology in various supply chain activities, such as logistics and transportation, assembly and manufacturing. However, the application of RFID in warehousing management has received little attention. This study explores the implementation of RFID in warehousing in the construction sector. The study objectives are twofold. First, it explores the benefits of implementing RFID. Secondly, the study identifies major challenges associated with implementing RFID, which can prevent realizing the full potential of the technology in warehouse operations. The study adopts a qualitative research design by employing a case study approach to achieve these objectives. Specifically, the study undertakes three weeks of field observation and conducts interviews with 9 participants involved in warehouse operations in the construction sector. The findings show RFID implementations could bring significant values to warehouse management related to operational efficiency, service level and warehouse flexibility. However, the study also uncovered several challenges that can block the case firm from capturing the full potential of implementing RFID. The findings can contribute to a better understanding of the application of RFID technology in warehousing. Practitioners can understand the identified challenges to help them tackle them and inform their future decisions regarding further investment in this technology.

The goal of the study was to determine the influence of green supply chain management strategies on performance in Jordanian industrial enterprises using just in time. All of Jordan's manufacturing enterprises were included in the analysis. A total of 218 companies were selected from the manufacturing industry. The study hypotheses were tested using Path Analysis. The results showed that green supply chain practices had a significant indirect effect on performance through JIT. Based on the study findings, the researchers recommend individuals and decision-makers to improve the expected results of green supply chain practices in the performance of economic and social business through just in time production and increasing the interest in logistics services as one of managing green supply chains practices in these companies.

The research is aiming to enter deeply into studying the implementation of enterprise resource planning (ERP) and measuring the effects on the integration of supply chain at Jordanian Nuqul Group Company. Defining the effects of applying ERP systems in human resource, and production management departments, and how the implementation process will be effective on the integration with suppliers, customers, and processes are representing the main objectives of this research. 185 research questionnaires distributed, collected, and 150 respondents were accepted for the research study analysis. Furthermore, this research used structural equation models with AMOS for testing research hypotheses. The research findings agreed with the result that applying enterprise resource planning systems could affect positively on the supply chain integration with suppliers, customers, and processes.

Although fog computing-based logistic supply chain management (Fog computing-based LSCM) is an emerging technology that proved a high impact on services and products, little research has focused on fog computing-based LSCM. Drawing on the Kano model and organization's theory this paper investigates the effect of fog computing-based LSCM on organizational agility. And the role of user satisfaction as mediator between fog computing-based LSCM and organizational agility. A quantitative approach was used, a questionnaire was designed for data collection, Cronbach's Alpha test was performed on a pilot study to examine the internal consistency of questionnaire items. Fog computing-based LSCM was studied based on Supply chain awareness, Connectivity and Logistics, Integration Process, Seamless Supply Chain, Integration of Processes. Data was collected from a random sample of 550 employees of Al-Hassan industrial city‎ in Jordan. Building on the proposed model, Researchers show that fog computing-based LSCM has a positive impact on organizational agility, fog computing-based LSCM has a positive impact on user satisfaction and finally user satisfaction mediates the relationship between fog computing-based LSCM and organizational agility. Implications for the model are discussed.

This study aimed to investigate the extent of applying just-in-time production system on maximizing profitability of small and medium industrial companies in Jordan, where maximizing profitability of companies represented in both (reducing product costs and reducing ending inventory obsolescence) for those companies. In order to achieve the objectives of the study, a questionnaire was designed as a tool for study and was distributed to the study sample represented by administrative managers and financial managers in small and medium industrial companies. The study community consisted of (235) companies of small and medium industrial companies. The Robert Mason equation was used to determine the sample size which consisted of 146 companies, where this study distributed 292questionnaires, and 217 of them were received, while 33 questionnaires were excluded, and the final sample was 184 questionnaires. The results of the study showed that there is a statistically significant impact of applying just-in-time production system on maximizing profitability of small and medium industrial companies in Jordan, and there is a statistically significant impact of applying just-in-time production system on (reducing product costs and reducing ending inventory obsolescence) in small and medium industrial companies. The Study recommended a number of recommendations, the most important of which is: It is necessary to review the successful experiences of international companies that adopt applying just-in-time production system, and to benefit from them by small and medium industrial companies in Jordan in applying just-in-time production system as an advanced tool for cost management and thus maximizing their profitability.

The present research mainly focuses on the review of existing literature on the topic of critical success factors (CSF) in supply chain structures. The main aim of this study is to identify the major critical success factors (CSF) that have been identified previously by academics and researchers during their research on the topics related to the discipline of supply chain management. The literature survey technique has been applied for the present research. This research is based on a critical review of seventy-three published studies on supply chain structures obtained from most important research databases by using the keywords related to supply chain structures such as barriers in the supply chain, critical success factors in supply chain structures. This study will not only contribute towards the existing literature on supply chain structures but will also help researchers to acknowledge the importance of critical success factors in supply chain structures. One of the major aspects of research regarding the supply chain is to reduce cost and that can only be done via effectiveness and efficiency in the processes, which depend on different variables at every level. The researchers have identified many critical success (CSF) factors in designing effective and efficient supply chain structures are a mutual partnership, executing communication and information expertise, support from senior management, human resource management, environmental uncertainty, value-addition process, business management, generating business culture, developing relationships between customer and supplier, logistics. The present research will also highlight the importance of different factors in achieving the effective and efficient in supply chain structures which enable organizations to not only reduce cost but also help them to achieve higher levels of customer satisfaction. This study will also be beneficial for managers as it will enable them to identify the critical success factors for their supply chain structures, keeping in view the nature and business environment of their organization.

The tourism sector is considered as one of the most important economic sectors and has great importance in increasing the gross domestic product of any country in the world. Jordan is one of the countries attracting tourism from all over the world because of its natural tourist attractions and in-dustrial parks, as well as the availability of security and safety elements compared with neighboring countries. As the tourism sector is influenced by several factors affecting the tourism sector, this study aimed to investigate the role of the cultural dimensions and their relationships with the Jorda-nian society characterized by customs and traditions, values, norms and religious beliefs in promoting the tourism sector in Jordan. The study concluded that there was a statistically significant relationship between the cultural dimensions and the tourism promotion, so that the tourism promotion in Jordan was directly influenced by the change in cultural dimensions. The study concluded that the governments should increase the interest of the tourism sector and the need to pay special attention on educating the Jordanian society about the importance of this sector for the benefit of the country, which would positively affect their level of income, alleviate unemployment, and raise the standards of their lives.

The purpose of this study is to assess the influence of total quality management (TQM) dimensions on the product and process innovation perspectives of Jordanian manufacturing organizations. In this quantitative study; a questionnaire was sent to 249 randomly selected ISO 9001:2000 certified firms in different manufacturing industries in Jordan and we obtained 123 usable questionnaires. After confirming the validity and reliability of the latent variables with confirmatory and exploratory factor analyses, we examined the model and hypotheses. This search outcome confirmed the significant and positive relationship between TQM dimensions overall and product and process innovation perspectives. However, the supplier’s management failed to show a significant relationship with product and process innovation perspectives. Meaningful implications are made that building extensive and effective TQM dimensions and product and process innovation in manufacturing organizations is crucial to face with high competition and innovation in Jordan manufacturing organizations sector.

In the dynamic field of cybersecurity within intelligent vehicle systems, the sophistication of threats necessitates continual advancements in security technologies. Traditional Network Intrusion Detection Systems (NIDS) often fall short in detecting emerging and sophisticated intrusion methods, primarily due to their reliance on static datasets that fail to capture the nuanced dynamics and complexity of modern network intrusions. This study presents a sophisticated simulation for NIDS tailored to intelligent vehicle environments, utilizing the extensive capabilities of Scapy—a robust network manipulation tool—to generate a highly accurate dataset of network traffic reflective of real-world scenarios. We created a diverse dataset involving 100,000 network flows, covering a wide array of benign, malicious, and anomalous traffic patterns, to thoroughly evaluate the detection capabilities of our proposed system. This dataset was analyzed using a deep learning framework employing a Convolutional Neural Network (CNN), which demonstrated outstanding performance metrics: an accuracy of 99.08%, precision of 98.96%, recall of 99.11%, and an F1 score of 99.03%. These metrics showcase the system's enhanced capability to precisely classify various network flows, emphasizing the importance of realistic synthetic data in boosting the training and accuracy of NIDS in intelligent vehicles. The results of this research are significant, marking a step forward towards more flexible and preemptive security measures for intelligent vehicles, and effectively narrowing the gap between simulation-based testing and real-world network environments.

The goodness of machine-part groups in cellular manufacturing systems is evaluated by different measures available in the literature. The commonly known grouping efficiency measures will be discussed in this paper. None of these measures has the ability to evaluate the efficiency of block -diagonal system and sub-system at the same time. Moreover, sparsity of individual cells was not taken into consideration in these measures. In this paper, a new grouping measure called Comprehensive Grouping Efficacy (CGE) is proposed to overcome the drawbacks of these measures. CGE is tested against some problems from the literature and the results demonstrate the ability of this measure to be used as comprehensive grouping measure since four of the well-known measures are included in the CGE formula. The superiority of CGE is that it can be used to find the efficiency of block-diagonal form, the efficiency of sub-system, sparsity index and efficacy index at the same time, which will give the designer the opportunity to control the cell size. Without knowing the efficiency of sub-systems (individual cells), the system designer will not be able to control the cell size.