Journal for Business Education and Management <p>The Journal for Business Education and Management (JBEM) is an interdisciplinary open access double blind peer-reviewed Bi-Annual research journal published by the <a href="">Contemporary Science Research Publisher</a> that publishes significant contributory research in different fields of social sciences, business and education management. JBEM publishes two issues per year. JBEM publishes original research articles related to Business Management, Human Resource Management, Leadership, Marketing Management, Psychology, Sociology, Education Management, Teacher’s Training, Education Training, MIS (Management Information System), Business Law, Marketing theory and Marketing applications, Business investment, Business finance, Public ethics, Operations management, business research, Organizational behavior, Business and economics education, Case studies, statistics, Industrial relations, Econometric, Personnel relations, management &amp; public policy, Management organization, and Innovation &amp; technology.<br />By providing easy access to the insights of Social Sciences &amp; Business Information, case studies, and research, JBEM aims to extend and supplement the knowledge of the scholarly world.</p> en-US (Dr. Ammad Zafar) (Dr. Ammad Zafar) Fri, 31 Dec 2021 00:00:00 +0000 OJS 60 PRICE AND QUALITY ON CONSUMER BRAND PERFORMANCE: CASE OF APPAREL INDUSTRY <p>Ever since the modern era has begun, the evolving technological progressions amplified the marketing process of conveying the products and services to the customers where the foremost priority would be based on their preference and intention to purchase. The key drive of executing this study is to seek the effect of apparel quality, price, and digital advertising on the preference of the customers. Moreover, this study involves around four basic dimensions which were used in order to find the influence of independent variables including price, quality, and digital advertisement of apparel brands whereas customer brand preference is taken as a dependent variable. The following research is quantitative in manner and cast a deductive approach. Further, this study has few questions related to our objective however the solution to those question is being analyzed through correlation analysis which also express the relationship among the designated variables/dimensions. For the purpose of finding the effect of independent variables on the dependent variable, a Regression test was carried out for the prior understanding. With the help of data analysis, it can be concluded that all the dimensions have a significant relationship among them however a significant impact of independent variables on the dependent variable has been found. Eventually, there were 239 respondents taken as the sample size of the population though the respondents are majorly categorized as those who used the mentioned apparel brands and are the residents of metropolitan cities of Pakistan.</p> Mahnoor Shahid Copyright (c) 2021 Mahnoor Shahid Fri, 31 Dec 2021 00:00:00 +0000 THE APPLICATION OF ARTIFICIAL INTELLIGENCE IN THE SUPPLY CHAINS OF TEXTILE INDUSTRIES <p>The need to wear the latest fashion ware, be in style, and look modern isn’t just limited to a few regions, but people all over the world have the same demands in this regard. With globalization taking over the world by storm, the awareness and knowledge in people of fashion and good clothing have taken an even stronger grip. In such circumstances, the textile and garment manufacturing companies have a huge demand to meet and for that to be overcome they must increase their production capacities, enhance their processes and work on their efficiencies. Global firms are making great use of Artificial intelligence and its various tools and branches to better their processes. This research explores how artificial intelligence is beneficial for organizations and goes on to establish significant relationships between artificial intelligence with demand forecast, decision making, and product deliveries. The study is based on the textile sector of Pakistan. The methodology used in this research is a quantitative model and for data collection, a questionnaire was formed and distributed to over 100 employees working in various textile and garment manufacturing companies across Pakistan. The data collected was then analyzed using SPSS and several tests were performed. Furthermore, regression analysis was also performed. A reliability test was also done to see how the scale items under each variable were interrelated and consistent with each other. The results of the test reveal that all the variables had a positive Cronbach alpha value, stating the scale items are consistent and most of them were above 0.7 which shows the consistency is strong. The correlation test results show that artificial intelligence is very much related to all the dependent variables and lastly, the regression tests also prove that Artificial intelligence has a very significant influence on decision making, demand forecasting, and product deliveries of textile firms.</p> Habibullah Khan Copyright (c) 2021 Fri, 31 Dec 2021 00:00:00 +0000 THE ROLE OF SOCIAL MEDIA PLATFORMS IN THE PANIC BULK BUYING OF GROCERIES ITEMS AND SANITARY PRODUCTS DURING THE COVID-19 PANDEMIC <p>The Coronavirus or COVID-19 is a global pandemic that took millions of lives all around the world and put all the world economies on a brink of collapse a major factor in causing this panic situation was of Social Media Platforms because people all around the world started sharing news related to COVID-19 on Social Media Platforms without fact checking it and by doing so it created fear and panic among the people of the world and it caused a lot of people to go in a frenzy situation, people started taking impulsive decisions and that is the reason people all rushed towards the nearest grocery stores, supermarkets, pharmacies, and medical equipment stores to stock up on essential and non-essential grocery items and sanitary products. The size of the sample taken was 436 individuals and the data was gathered through Google Forms data collection was done in the cities of Karachi, Islamabad, and Lahore. questionnaires were designed with the help of a five-point Likert scale and dichotomous questions from previous research. reliability of this model showed the strong consistency of the responses. SPPS software was used for testing the data by applying regression and correlation tests and the results signified that there is a significant impact of social media platforms on panic bulk buying of grocery items, panic bulk buying of sanitary products, and herd mentality in the presence of the COVID-19 pandemic.</p> Usama Shakeel Dar, Laiba Ali Copyright (c) 2021 Fri, 31 Dec 2021 00:00:00 +0000 MENTAL HEALTH NEEDS OF WORKING WOMEN: PAKISTAN’S CASE <p>Social and cultural factors have historically kept most women from entering the job market in Pakistan. Working women in Pakistan face social and economic disadvantages relative to men working in the same field. With the recent challenges in society caused by the increasing feminine population, financial need, and limited educational facilities for girls and women; women tend to enter the job market more than earlier. Still social and cultural factors have kept most women from entering the job market. Considering the situation in Pakistan, this study examined the relationship between work-life conflicts, job satisfaction, and the turnover ratio of the female working gender in Pakistan. The data is collected through questionnaires from female staff working in academic institutions, banks, and NGOs operating in Pakistan. The sample size was kept to 350 female staff members to find out the importance of work-life conflict, job satisfaction, and job departure. The study found that work-life conflict has a significant impact on job satisfaction.</p> Sadia Khan Copyright (c) 2021 Fri, 31 Dec 2021 00:00:00 +0000 THE IMPACT OF EFFICIENCY MANAGEMENT ON THE PROFITABILITY OF THE FIRMS: TEXTILE COMPOSITE SECTOR <p>The objective of this study is to find out the impact of efficiency management on the performance of the textile firms of Pakistan. Efficiency management is considered an independent part, consisting of receivable turnover, payable turnover, inventory turnover, total asset turnover, capital employed turnover, cash turnover, fixed asset turnover, and working capital turnover while performance is dependent on efficiency, and measured by return on asset. 31 textile composite companies registered in PSX are the scope and date are taken from their financial reports for the period of (2015-2019) five years. Panel regression test is used to fulfill the objective of this research through E-Views. Statistics of the results show that receivable turnover, inventory turnover, and capital employed turnover has a significant and positive impact on a firm’s performance while payable turnover, total asset turnover, fixed asset turnover, working capital turnover, and cash turnover have an insignificant impact on a firm’s performance. After analyzing the results, it was suggested firm’s management focus on receivables, inventory, and employment of capital. Through proper management of these three factors firms can enhance their performance, earn more profits, and can maximize their capital in the textile composite industry.</p> Muhammad Waqar Idrees, Aqeel Ahmed Siddiqui Copyright (c) 2021 Fri, 31 Dec 2021 00:00:00 +0000