Ahmad Zamil
Prince Sattam Bin Abdulaziz University, Marketing, Faculty Member
- Marketing, Social Marketing, Tourism Marketing, Online Marketing, Services' Marketing, Marketing Education, and 15 moreCosumer Behaviour, Communication, Business, Innovation statistics, Higher Education, Management, Middle East Studies, China, Internet Marketing, Quality Management, Curriculum and Instruction, Science Education, Mathematics Education, STEM Education, and المناهج وطرق التّدريس، تعليم القراءة، مهارات التّفكير، توظيف التّقنية في التّدريسedit
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2nd International Conference on Assessing Quality in Higher Education, 1st 3rd December, 2008, Lahore - Pakistan ... META EVALUATION OF A TEACHERS' EVALUATION PROGRAMME USING CIPP MODEL ... Dr. Muhammad Abdul Wahid Usmani,... more
2nd International Conference on Assessing Quality in Higher Education, 1st 3rd December, 2008, Lahore - Pakistan ... META EVALUATION OF A TEACHERS' EVALUATION PROGRAMME USING CIPP MODEL ... Dr. Muhammad Abdul Wahid Usmani, Director, ...
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The aim of the research is to focuses on assessing the impact of accreditation of higher education institutions on enhancing the quality of the teaching/ learning process and the learning outcomes. This research carried out to examine the... more
The aim of the research is to focuses on assessing the impact of accreditation of higher education institutions on enhancing the quality of the teaching/ learning process and the learning outcomes. This research carried out to examine the impact of accreditation on the teaching and learning process at accredited institutions. Objective of this research was to gather measurable insights about the impact of accreditation on the teaching and learning process. The primary objective of this research was to gather measurable insights about the impact of accreditation on the teaching and learning process. Study results divided into two parts corresponding to two distinct groups of respondents. Institute Directors/ Principals formed group 1 and Lecturers/ Instructors formed group 2. Findings based on both quantitative and qualitative survey data.
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During the COVID-19 epidemic, personal safety has received increasing attention, leading to behavioral changes. Mobile-wallet (m-wallet) makes it easier for people to keep social distance, which helps stop the spread of the COVID-19... more
During the COVID-19 epidemic, personal safety has received increasing attention, leading to behavioral changes. Mobile-wallet (m-wallet) makes it easier for people to keep social distance, which helps stop the spread of the COVID-19 virus. Evolving Internet technology has brought about changes in consumer lifestyle. The current situation of COVID-19 has created a business environment to shift from traditional ways and adopt e-commerce solutions worldwide. Grounded in technology acceptance model (TAM) theory, this study’s objective is two-fold: First, this study intends to examine perceived susceptibility to COVID-19, perceived severity of COVID-19, insecurity and discomfort as the predictors of perceived usefulness (PU) and perceived ease of use (PEOU). Second, the current research intends to test the moderating effect of electronic words-of-mouth (eWOM) on the relationship between attitude and usage intention. Using survey methods, 226 usable responses were collected through a mall...
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This study explores the influence of educating the balanced scorecard indicators on the financial performance and investment decision in general industrial shareholding companies in Jordan. We collected the perception based data from the... more
This study explores the influence of educating the balanced scorecard indicators on the financial performance and investment decision in general industrial shareholding companies in Jordan. We collected the perception based data from the 122 financial and planning managers working in the industrial shareholding companies in Jordan. At first, we check the reliability of all constructs and their items through Cronbach Alpha test and ensured the validity of all constructs. There is a statistically significant impact of financial dimension, customer dimension, learning and growth dimension and internal process dimension on the financial performance of the general industrial shareholding companies using balance scorecard. It is recommended to educate the indicators of a balanced scorecard model since it contributes to improve the financial performance and investment decision. It is imperative to empower the employees through education and training to implement the balanced scorecard indi...
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Globalization's effects require more contact between individuals of different cultures, beliefs and backgrounds. Citizens do not live and operate on an insular market; they now belong to almost every continent's global competition... more
Globalization's effects require more contact between individuals of different cultures, beliefs and backgrounds. Citizens do not live and operate on an insular market; they now belong to almost every continent's global competition economy. Maximizing and utilizing organizational diversity has today become an important management issue. As diversity management continues to be a major challenge for the organization, managers need to improve the management skills required in a multicultural environment. Supervisors and administrators must be prepared to train themselves and other people in their companies so that everybody can act and recognize ethnic variations. Between employees and customers. The research paper seeks to shed light on how businesses can make a business impact through inclusion and diversity. We see, although not causal, a clear relationship between diversity and success independent of time, size and geography.
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Sales forecasting is an essential task in the retail management field. Intelligent forecasting using machine learning techniques can help discover the selection of feature variables that influence prediction of sales growth. A Python... more
Sales forecasting is an essential task in the retail management field. Intelligent forecasting using machine learning techniques can help discover the selection of feature variables that influence prediction of sales growth. A Python program implementation is adopted to compute; develop and visualizing forecasting model of historical sales data based on advertising media opted to do the effective sales promotion. Python supports working on predictive algorithms through accessing from Python libraries. For this purpose, it relies on the past observations based transaction data set file as an input to produce output without worrying about the underlying mechanism. The results indicated that TV media is the feature variable that influences the prediction of sales of linear regression model. Regression results of OLS model type are displayed with coefficient values to substitute in the linear regression equation. Seaborne library of Python is used to generate the visualization of charts and graphs.
The telecom industry is facing fierce competition. Customer retention is becoming a real challenge. Telecom companies do not want their customers to leave them and look for other service providers. Thus addressing customer churn is... more
The telecom industry is facing fierce competition. Customer retention is becoming a real challenge. Telecom companies do not want their customers to leave them and look for other service providers. Thus addressing customer churn is becoming a problem. This paper determines the customer churn percentage for a given case of transaction data set as a secondary data. The objective of this research is to identify the probability of customer churn using predictive analytics technique using logistic regression model in order to assess the tendency of probability of customer churn. The result of model accuracy got is 0.8. Based on the existing telecom case study data, customer churn percentage is determined as shown in the graph in the main body of the paper and weighting factors of model function are computed using Python programming language and its libraries.
Sales forecasting is an essential task in the retail management field. Intelligent forecasting using machine learning techniques can help discover the selection of feature variables that influence prediction of sales growth. A Python... more
Sales forecasting is an essential task in the retail management field. Intelligent forecasting using machine learning techniques can help discover the selection of feature variables that influence prediction of sales growth. A Python program implementation is adopted to compute; develop and visualizing forecasting model of historical sales data based on advertising media opted to do the effective sales promotion. Python supports working on predictive algorithms through accessing from Python libraries. For this purpose, it relies on the past observations based transaction data set file as an input to produce output without worrying about the underlying mechanism. The results indicated that TV media is the feature variable that influences the prediction of sales of linear regression model. Regression results of OLS model type are displayed with coefficient values to substitute in the linear regression equation. Seaborne library of Python is used to generate the visualization of charts and graphs.
Purpose: The purpose of this research paper is to segment the best contributed retail management customers of a super store and corresponding least contributed customers for a given transaction period based on the customer purchase... more
Purpose: The purpose of this research paper is to segment the best contributed retail management customers of a super store and corresponding least contributed customers for a given transaction period based on the customer purchase behavior. Pacific Business Review International profitable offerings as a part of loyalty programs. Also, it is possible to focus on planning for customer retention programs. Originality/Value: The value of this research paper lies in realizing through mapping the theoretical value of RFM analysis to practically visualizing the customer segmentation in the form of grouping best customers and low-risk customers using Python implementation. Such value can be found in following the research methodology steps while developing the content of the paper as well as showing practically obtaining results through dealing with data-based case study as a part of serving itself as a testing the proposed hypotheses.
The Engineers in Society (EIS) course is a common course unique to Universiti Teknologi PETRONAS. However, every semester, the course receives 300 to 500 students, making managing and delivering it a challenging task. The EIS course is... more
The Engineers in Society (EIS) course is a common course unique to Universiti Teknologi PETRONAS. However, every semester, the course receives 300 to 500 students, making managing and delivering it a challenging task. The EIS course is thus in need of a suitable mode of delivery where the teaching and learning process can cater to a large number of participants from a variety of programs. The aim of this study is to address the effect of Massive Open Online Courses MOOC factors implementation on the continuance intention of students. The study employed a survey that was designed from a literature review. The survey adopted a series of questions to gather information about the problem under investigation. One hundred forty-eight responses were collected from the students in different engineering, project and operation management, quality, sustainability, and entrepreneurship programs. In addition, partial least squares regression-structural equation modelling was used to analyze data...
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This research aims to identify the rules of lean system application in the service industry. It also seeks to highlight the requirements of applying the lean production system on Al-Ahliyya Amman University to reduce costs. The research... more
This research aims to identify the rules of lean system application in the service industry. It also seeks to highlight the requirements of applying the lean production system on Al-Ahliyya Amman University to reduce costs. The research was conducted in the form of a case-study in Al-Ahliyya Amman University. Data was collected through discussions with some the officials in the university. Including the HR manager, the financial manager, the student affairs manager, and the student registration manager. The results showed that lean production was most successful in service organisations that depend on the core components of lean; such as continuous improvement, problem-solving, decision-making, knowledge management, and technology usage. These components together can be a critical key to reducing costs which is what Just-in-time technique aims to do.
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Ahmad Yousef Areiqata, Yacoub Hamdanb, Ahmad.M.A.Zamilc, Omar Horanid, Abeer Fayez Al-Khourye, aProfessor, Department of Business Administration, Business School, Al-Ahliyya Amman University. Amman Jordan, bAssociate Professor, Department... more
Ahmad Yousef Areiqata, Yacoub Hamdanb, Ahmad.M.A.Zamilc, Omar Horanid, Abeer Fayez Al-Khourye, aProfessor, Department of Business Administration, Business School, Al-Ahliyya Amman University. Amman Jordan, bAssociate Professor, Department of Business Administration, Business School, Al-Ahliyya Amman University. Amman Jordan, cAssociate Professor, Department of Marketing, College of Business Administration, Prince Sattam bin Abdulaziz University, 165 Al-Kharj 11942, Saudi Arabia, dLecturer, Department of Electronic business and Commerce, Business School, AlAhliyya Amman University. Amman Jordan, eAssociate Professor, King Talal School of Business Technology, Princess Sumaya University for Technology, Email: aahmadareiqat@ammanu.edu.jo, by.hamdan@ammanu.edu.jo, cam.zamil@psau.edu.sa, do.horani@ammanu.edu.jo, ea.khoury@psut.edu.jo
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This study aims to examine the impact of the balanced scorecard; the finances, customers, internal processes, learning, and growth, on the marketing innovation, in services; promotion, pricing, and distribution. The study also examines... more
This study aims to examine the impact of the balanced scorecard; the finances, customers, internal processes, learning, and growth, on the marketing innovation, in services; promotion, pricing, and distribution. The study also examines the reality of implementation of this tool in service ministries in Jordan represented by; public health, private hospitals sector, tourism, and antiquities. The study was conducted on a sample of 371 employees who are supervisory or non-supervisory incumbents in services ministries in Jordan. By using the descriptive analytical approach, the results showed that the balanced scorecard has a significant impact on the customer dimension in enhancing marketing innovation in the ministries. They also showed the impact on the dimension of learning and growth in enhancing innovation in the promotion, while the customer's dimension shows an impact on enhancing innovation in pricing in the ministry of tourism, innovation in distribution affected by the customer dimensions. The degree of impact is affected by the differences between the respondents in terms of educational level and job title. In this study, the researchers recommend that ministries enhance the components of application of the balanced scorecard to increase their ability to improve their performance.
This study aimed to point out the ways and measures that used in the public sector organizations to measure the customer satisfaction, and what are the benefits of this measurement. By tackling the Islamic Waqf Institution in Jordan as a... more
This study aimed to point out the ways and measures that used in the public sector organizations to measure the customer satisfaction, and what are the benefits of this measurement. By tackling the Islamic Waqf Institution in Jordan as a case study to represent the study population, and by distributing a written questionnaire on (43) families who are suffering from poverty. The study results indicated that the Islamic Waqf Institution in its current situation is not able to accomplish a higher degree of customer satisfaction, because the institution does not respond beneficiaries’ needs and desires in its activities. Recommendations and implications are also presented.
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The main goal of this study is to identify housewives’ attitudes towards locally-made products in comparison with imported produce. Furthermore, it aims to detect the degree of their satisfaction with each product regarding its quality,... more
The main goal of this study is to identify housewives’ attitudes towards locally-made products in comparison with imported produce. Furthermore, it aims to detect the degree of their satisfaction with each product regarding its quality, advertising tools (the media) and targeted groups (Jordanian housewives) with a more focus on their attitudes towards home-made products, namely baby’s diapers. This study focused on collecting primary and secondary data through a structured questionnaire which was handed out to a sample consisting of 519 respondents and distributed all throughout Amman. The questionnaire included (4) items: the first item tackled the demographic factors of the Jordanian housewives, the second and the third items included different types of questions to explore housewives’ attitudes towards home-made baby’s diapers. The fourth item included specific statistical techniques that were used to achieve the research objectives and to examine related hypothesis such as the ...
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The telecom industry is facing fierce competition. Customer retention is becoming a real challenge. Telecom companies do not want their customers to leave them and look for other service providers. Thus addressing customer churn is... more
The telecom industry is facing fierce competition. Customer retention is becoming a real challenge. Telecom companies do not want their customers to leave them and look for other service providers. Thus addressing customer churn is becoming a problem. This paper determines the customer churn percentage for a given case of transaction data set as a secondary data. The objective of this research is to identify the probability of customer churn using predictive analytics technique using logistic regression model in order to assess the tendency of probability of customer churn. The result of model accuracy got is 0.8. Based on the existing telecom case study data, customer churn percentage is determined as shown in the graph in the main body of the paper and weighting factors of model function are computed using Python programming language and its libraries.
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This research aims to identify the critical success factors used by Al-Ahliyya Amman University in applying the quality standards of higher education, to achieve these goals, the researcher used the descriptive and analytical approach of... more
This research aims to identify the critical success factors used by Al-Ahliyya Amman University in applying the quality standards of higher education, to achieve these goals, the researcher used the descriptive and analytical approach of the views of a sample of administrators and academics at the researched university, as the researcher distributed (127) questionnaires to an intentional sample from University employees, (114) questionnaires were retrieved and used. The data were analyzed and the research questions and hypotheses were tested through the Statistical Package for Social Sciences (SPSS). This Study has Found many Results, the most Important is: The success of applying the quality standards of higher education at the university based on the availability of the possibility of preparing to spread the culture of quality by placing it as an integral part of the university’s culture, and the vision factor towards changes and the requirements for renewal in the programs and st...
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Purpose: The purpose of this research paper is to segment the best contributed retail management customers of a super store and corresponding least contributed customers for a given transaction period based on the customer purchase... more
Purpose: The purpose of this research paper is to segment the best contributed retail management customers of a super store and corresponding least contributed customers for a given transaction period based on the customer purchase behavior. Pacific Business Review International profitable offerings as a part of loyalty programs. Also, it is possible to focus on planning for customer retention programs. Originality/Value: The value of this research paper lies in realizing through mapping the theoretical value of RFM analysis to practically visualizing the customer segmentation in the form of grouping best customers and low-risk customers using Python implementation. Such value can be found in following the research methodology steps while developing the content of the paper as well as showing practically obtaining results through dealing with data-based case study as a part of serving itself as a testing the proposed hypotheses.
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Whereas the bullwhip effect is a phenomenon strictly related to supply chain management and regards the magnification and variance in order volumes observed at upstream nodes in a supply chain, the eWOM refers to the knowledge exchange... more
Whereas the bullwhip effect is a phenomenon strictly related to supply chain management and regards the magnification and variance in order volumes observed at upstream nodes in a supply chain, the eWOM refers to the knowledge exchange which consumers carry out online, known as online rating or review systems. It delivers credible and relevant product information to potential customers and thus can significantly impact the consumer choices. EWOM as a Social Mediated Monitoring (SMM) technique, when combined with web analytics and predictive modeling, will have potential to generate probabilistic information. EWOM is trying to upgrade its portfolio as an effective alternate to brand communication media in the Internet supported business environment. This study aims to explore the influence of electronic Word Of Mouth (eWOM) with the actual adoption of internet technologies in influencing customer demand in the enterprise supply chain management scenario as well as how it influences demand uncertainty that can cause bullwhip effect. The research methodology follows a qualitative method of eliciting literature evidences, correlations and manifestations through reviews, available surveys and brief on example case findings. We conclude that by integrating Business Intelligence and web analytics, organizations can derive better customer demand information and Key Performance Indicator along the Supply chain so that it can be used to mitigate the Bullwhip effect. But providing decision management capability under Multi-Enterprise Collaboration requires the integrated effort of end-to-end solutions to enable collaborative enterprise information sharing capability with visibility and quality customer demand information.