The purpose of this study was to evaluate the impact of important entrepreneurship variables, notably self-concept, work motivation, and risk-taking, on organizational behavior and learning within the setting of Jordan Orange Telecommunication firm. Notably, the research was intended to look at how these factors affect organizational behavior and learning. To evaluate the hypotheses that were proposed in this research, a sample size of 294 people participated in the study, and their data were evaluated and debated. It was shown that an individual's perception of themselves as entrepreneurs, their level of drive at work, and their willingness to take risks all had an impact on developing organizational behavior and organization learning. It became clear that self-concept was the most important component, and that it included aspects such as self-confidence, self-perception, and self-definition. Closely following behind was the concept of work motivation, which included concepts such as self-motivation, extrinsic motivation, the setting of goals, and concentration. Risk-taking was the third key factor, and within this category were subcategories such as risk tolerance and risk perception, as well as expectations surrounding the consequences. The findings showed the possibility for improving organizational behavior and fostering innovation by assisting employees in comprehending the roles they play in their jobs, boosting job motivation, and encouraging a predilection for risk-taking. This can be accomplished by providing employees with training and development opportunities. The study adds fresh insights to a field that merits additional exploration, particularly considering the connection between workload, compensation, and the structural demands that are placed on organizations. The fact that the research concentrated on Jordan Orange Telecommunication company makes it both innovative and of major importance. This is because it can improve both the business's operations as well as the overall quality of the company's goods and services.

This paper investigates the role of environmental management accounting on sustainable supply chain management and the link between sustainable supply chain management and efficiency including financial and environmental factors using questionnaire-based survey. The study designed and sent questionnaires to 600 construction material manufacturing enterprises in Vietnam and managed to collect 418 valid ones which was processed by SPSS 20.0 software. The results show that environmental management accounting had a significantly positive impact on sustainable supply chain management. Therefore, if enterprises adopt environmental management accounting, they will more likely implement sustainable supply chain management more efficiently. On the other hand, the findings point out that sustainable supply chain management positively affect to both financial and environmental efficiency. Finally, the study provides some sound suggestions to Vietnamese construction materials manufacturing industry.

The aim of this paper is to apply the technique for order preference by similarity to ideal solution (TOPSIS) as a multi-criteria decision making tool to form the all-time best World XI Test cricket team while taking into consideration over 2600 cricketers participated in Test matches for more than 100 years of cricket history. From the voluminous database containing the performance of numerous Test cricketers, separate lists are first prepared for different positions in the batting and bowling orders consisting of manageable numbers of candidate alternatives while imposing some constraints with respect to the minimum number of innings played (for batsmen), minimum number of tests played (for wicketkeepers and bowlers), and minimum numbers of runs scored and wickets taken (for all-rounders). The TOPSIS method is later adopted to rank those shortlisted cricketers and identify the best performers for inclusion in the proposed World XI Test team. The best World Test cricket team is thus formed as Alastair Cook (ENG) (c), Sunil Gavaskar (IND), Rahul Dravid (IND) (vc), Sachin Tendulkar (IND), Shivnarine Chanderpaul (WI), Jacques Kallis (SA), Adam Gilchrist (AUS) (wk), Glenn McGrath (AUS), Courtney Walsh (WI), Muttiah Muralitharan (SL) and Shane Warne (AUS).

Recent technological advancements are endless and have had a profound influence on everyone in every part of life throughout the preceding decades. Artificial intelligence is one such invention that has the potential to change the world. Now, artificial intelligence is being used in almost all commercial operations. Hence, this research attempted to investigate the impact of artificial intelligence dimensions, including natural language processing, machine learning, expert systems, and computer vision on the financial decisions of pharmaceutical companies in Jordan. A cross-sectional approach was used through a comprehensive survey to collect research data from 148 accountants and financial managers in pharmaceutical companies listed on the Amman Stock Exchange with a response rate of 81.3%. The research hypotheses were examined using structural equation modeling of the collected quantitative data. The results indicated that the dimensions of artificial intelligence positively impact financial decisions. Accordingly, companies should spend on building strong artificial intelligence infrastructure and skills. Access to modern artificial intelligence technology, data analysis tools and cloud computing resources are also essential to rationalizing financial decision-making. Besides, Jordan's pharmaceutical sector can overcome these limitations and realize the full potential of artificial intelligence in financial decision-making by solving data privacy issues, encouraging ethical AI re-search, investing in artificial intelligence expertise, and enhancing collaboration.

Global warming, resource depletion, rising temperature, air pollution, and other environmental issues have raised several questions regarding the environmental effects of organizations. Thus, the organizations have started to pay attention on their processes. Bearing in mind the importance of ongoing environmental issues, the present study tries to elaborate the role of key drivers due to which the organizations go for adoption of green initiatives. This study considers the supply chain processes as a point of concern. Competitor pressure, customer pressure, regulatory measures (ISO 140001 etc.) and socio-cultural responsibility are the key drivers. Data are collected from the employees who were working in the automotive industry related companies in Indonesia by adopting the simple random sampling. 300 questionnaires are distributed among the employees out of which 200 valid responses are used for data analysis. Smart-PLS is used for data analysis. As per the results of the study the regulatory measures significantly and positively influence the green supply chain initiatives of the automotive car manufacturers. The results of the study also report a positive significant relationship between competitor pressure and green supply chain initiatives. Green supply chain initiatives are also found to be positively influence by the customer pressure. Finally, the study also reports a positive significant influence of socio-cultural responsibility on the green supply chain initiatives. Socio-cultural responsibility is found to be the strongest predictor of green supply chain initiatives. Practical implications and future directions are also provided at the end of the study.

Crises possess a remarkable propensity to serve as catalysts for change, particularly within the sphere of education. They catalyze change in several key dimensions, including Accelerated Adoption of Technology, Highlighting Inequalities, Global Collaboration, Adaptation of Assessment Methods, Engagement with Online Resources, and Reimagining Education. In essence, crises compelling educational institutions to reevaluate long-standing norms and embrace innovative solutions. They shine a spotlight on challenges that may have remained overlooked and stimulate the formulation of strategies aimed at cultivating a more robust, adaptable, and inclusive educational landscape. This study provides a comprehensive strengths, weaknesses, opportunities, and threats (SWOT) analysis of E-learning at The University of Jordan amid the COVID-19 pandemic, offering valuable insights for strategic planning during crises. Based on data collected from 379 undergraduate students in the year 2022, it reveals strengths in terms of convenience and flexibility but highlights weaknesses such as low bandwidth and unstable internet connections. Additionally, it recognizes the opportunity for E-learning effectiveness during lockdowns while identifying threats like unreliable power supply and inconsistent internet access. This analysis enriches our understanding of the educational landscape and equips decision-makers with essential insights to enhance E-learning resilience and effectiveness during challenging times.

Optimality and efficiency are two measures that can be used by the system designer to select or compare between different optimal layouts. At the same time, the system designer has three choices of part assignment to cells in accordance with his needs (minimum sum of voids and /or exceptions). Unfortunately, the impact of choosing the type of part assignment on optimality and/or efficiency is not taken into consideration in any previous studies. In this paper, a critical analysis of the impact of part assignment in cellular manufacturing systems is elaborated on three cases borrowed from the literature. In the first case study, different grouping efficiency measures were used on two different optimal distributions having the same number of cells. These measures give different conflict evaluations, for that the designer’s decision to choose the optimal solution depends on the optimality rather than the efficiency. For the second case, the analysis was performed using three types of part assignment on the same optimal system (same number of cells). The results showed that the designer’s decisions depend on the constraints on the shop floor, since there is a conflict between the efficiency and the optimality. For the third case, one type of part assignment was executed on one system with different number of cells and the designer takes his decision based on the efficiency.

The emergence of financial technology has resulted in the rapid expansion of digital financial services and products that are accessed and delivered through digital channels. However, such technology has also exposed changes in the financial behaviors of the millennial generation. Hence, this article analyzes how digital financial literacy impacts financial behavior in the Jordanian millennial generation. A survey method was performed with 627 individuals of millennial generations from several cities in Jordan. Structural equation modeling (SEM) was conducted to estimate the relationship between the research variables. The findings revealed that digital financial literacy with its dimensions, i.e., digital knowledge, digital experience, digital skills, and digital awareness had a positive impact on financial behavior. This article depicts the level of digital financial literacy among Jordan's millennial generation. Therefore, it suggested a set of recommendations revolving around developing and promoting financial education programs for Jordanian millennials in collaboration with educational institutions, government agencies, and financial institutions.

The significant of supply chain management (SCM) on the performance of organization's is described and evaluated in this study. The role of operational performance is examined regarding supply chain in textile and apparel sector which is crucial for the performance of whole organization. Textile industry of Indonesia in terms of revenue is anticipated to grow at an aggregated gross rate of 6.01%, during forecasted period, 2015-2025. Excellent SCM is necessary for managing this growth. Supply chain role is very crucial in this industry for flourishing but unfortunately operational performance of supply chain is not performing on required level. This is a cross sectional type of research and data collection from textile and apparel firm managers which directly supervise to supply chain division. Currently business environment is very competitive and organizations need to focus on SCOP except organizational performance. In this study, we try to find the solution of this problem after analyzing through jointly the mediating role of Information Technology (IT) and independence effect of Relational Capability (RC) and Organizational Culture Capability (OCC) on supply chain operational performance in Indonesian apparel and textile industry. Results indicate that this research is helpful to resolve supply chain operational issues in Indonesia.

The uncertainty in the supply chains (SCs) for manufacturing and services firms is going to be, over the coming decades, more important for the companies that are called to compete in a new globalized economy. Risky situations for manufacturing are considered in trying to individuate the optimal positioning of the order penetration point (OPP). It aims at defining the best level of information of the client’s order going back through the several supply chain (SC) phases, i.e. engineering, procurement, production and distribution. This work aims at defining a system dynamics model to assess competitiveness coming from the positioning of the order in different SC locations. A Taguchi analysis has been implemented to create a decision map for identifying possible strategic decisions under different scenarios and with alternatives for order location in the SC levels. Centralized and decentralized strategies for SC integration are discussed. In the model proposed, the location of OPP is influenced by the demand variation, production time, stock-outs and stock amount. Results of this research are as follows: (i) customer-oriented strategies are preferable under high volatility of demand, (ii) production-focused strategies are suggested when the probability of stock-outs is high, (iii) no specific location is preferable if a centralized control architecture is implemented, (iv) centralization requires cooperation among partners to achieve the SC optimum point, (v) the producer must not prefer the OPP location at the Retailer level when the general strategy is focused on a decentralized approach.