Suchergebnisse

Islam in western literary and non-literary discourse has been represented stereo typically as a static, extremist, jihadist, fundamentalist religion of terrorism, a threat to western ideology. Akbar S. Ahmed's Journey into Islam critiques the distorted images of Muslims, Islam and its practices.This article attempts to highlight the stereotypical representation of Islam and Muslims in media and academic representations. The theoretical framework for this research paper is based upon the methodological assumptions derived from Edward Said's Covering Islam (1997). It explores the true picture of Islam as a religion of peace, compassion and harmony and challenges the association of terrorism with Islam.

This study explores how Human Resources (HR) environment (i.e., job autonomy, opportunities for advancement, involved communication, and decisive action) promotes psychological well-being of public employees. We advance the literature by identifying organizational identification (OID) as the underpinning mechanism through which HR environment can foster employees' well-being. OID is termed as a "social cure," owing to its strong link with employee health and well-being. The results of structural equation modeling show a positive association among HR practices and OID, which subsequently enhances well-being of public sector employees. Managerial implications for public sector leaders are discussed in detail.

Purpose: The study looked at the effect of corporate governance on the cost of capital of firms in Pakistan's non-financial sector. Design/Methodology/Approach: The study sample is comprised of balanced data set of 175 non-financial companies listed on the Pakistan Stock Exchange between 2008 and 2018. The study used the dynamic panel GMM estimator technique. Findings: The findings revealed that an increase in the number of directors, board independence, CEO duality, and inflation negatively influence the cost of capital. On the other hand, the increase in institutional holdings increased the cost of capital. In addition, it is discovered that board committees, political connections, and economic growth do not affect the cost of capital Implications/Originality/Value: When board size, CEO duality, board independence, and inflation increased, the cost of capital decreased in Pakistan's non-financial sector. Furthermore, board committees, political connections, company leverage, and economic growth do not affect the cost of capital in Pakistan's non-financial sector. In comparison, an increase in institutional shareholding increased the cost of capital in Pakistan's non-financial sector.

Background: Schools, colleges, and universities are the foundations of a successful sports program of a nation. A well-planned, school sports program is important for the success of every athlete. The primary aim of the study was to evaluate the organizational issues (administrative responsibilities, communication with parents, political involvement, training time, human resources, technical resources, and material resources (equipment and facilities)) in the government girls' high school of district Layyah. Methods and Materials: The population of this research study contained all the female Principals and all the female PETs (Physical Education Teachers) during the academic year 2017 in the government girl high school of district Layyah, Punjab, Pakistan. The entire population was 134 (67 Principals and 67 PETs) which is finite for the researcher and no need to take a sample. Results and Conclusion: The main finding of the study was that there is a significant effect of organizational issues upon sports programs at the government girls' high school level. Recommendation: The researcher recommended based on finding that organizational issues which affect the government girls high school sport should be minimized and the administration, parents, and politician may support the school sport and in addition to the politician may support the school sports not only financially but also provide skillful coaches who are cognizant with latest technologies and techniques.

The whole world is confronting under extreme danger from COVID-19 pandemic. Which spread rapidly including an agro-based developing state like Pakistan. Right now this year "Rabi" crop season has safely ended during this pandemic. Wheat-crop operations are depended on environmental conditions and different operational safety measures. Farmworkers are the key individuals, as they are exposed to various environmental, health, safety, biological, and respiratory hazards. Due to COVID-19, there are about more than three thousand (3000) mortalities and one hundred eight thousand (18, 0000) plus persons have been effected, however this number increases further rapidly. The key purpose of this review-study is to highlight the timely adopted safe strategies and their impacts on the yield of wheat along with farmworkers under some Standard Operational Procedures (SOPs) during wheat operations, enabling food security, self-sustainably and securing of farmers in the context of COVID-19. Various actions have been taken worldwide, but a developing state like Pakistan with minimum resources, has made well-organized planning and strategies to sustain the production of wheat with public awareness. We highlighting government efforts to-combat this fatal pandemic, where it has directly impacted the crop yield and also the economy of the state. Whereas, especially during this period, uplifting of economy through agriculture sector, needs to overcome the same management deficiencies from other sectors. Pakistani Government has adopted and implemented different key steps for fighting against COVID-19 include: i. Government command along with incentive approach, ii. Mutual coordination among stakeholders, local governments, and farmers, iii. Continuous inspection setup, and iv. Provide adequate personal protective equipment (PPE).

PurposeThe purpose of this paper is to propose customer behavior analysis based on real-time data processing and association rule for digital signage-based online store (DSOS). The real-time data processing based on big data technology (such as NoSQL MongoDB and Apache Kafka) is utilized to handle the vast amount of customer behavior data.Design/methodology/approachIn order to extract customer behavior patterns, customers' browsing history and transactional data from digital signage (DS) could be used as the input for decision making. First, the authors developed a DSOS and installed it in different locations, so that customers could have the experience of browsing and buying a product. Second, the real-time data processing system gathered customers' browsing history and transaction data as it occurred. In addition, the authors utilized the association rule to extract useful information from customer behavior, so it may be used by the managers to efficiently enhance the service quality.FindingsFirst, as the number of customers and DS increases, the proposed system was capable of processing a gigantic amount of input data conveniently. Second, the data set showed that as the number of visit and shopping duration increases, the chance of products being purchased also increased. Third, by combining purchasing and browsing data from customers, the association rules from the frequent transaction pattern were achieved. Thus, the products will have a high possibility to be purchased if they are used as recommendations.Research limitations/implicationsThis research empirically supports the theory of association rule that frequent patterns, correlations or causal relationship found in various kinds of databases. The scope of the present study is limited to DSOS, although the findings can be interpreted and generalized in a global business scenario.Practical implicationsThe proposed system is expected to help management in taking decisions such as improving the layout of the DS and providing better product suggestions to the customer.Social implicationsThe proposed system may be utilized to promote green products to the customer, having a positive impact on sustainability.Originality/valueThe key novelty of the present study lies in system development based on big data technology to handle the enormous amounts of data as well as analyzing the customer behavior in real time in the DSOS. The real-time data processing based on big data technology (such as NoSQL MongoDB and Apache Kafka) is used to handle the vast amount of customer behavior data. In addition, the present study proposed association rule to extract useful information from customer behavior. These results can be used for promotion as well as relevant product recommendations to DSOS customers. Besides in today's changing retail environment, analyzing the customer behavior in real time in DSOS helps to attract and retain customers more efficiently and effectively, and retailers can get a competitive advantage over their competitors.