Search Results for customer-satisfaction
Abstract
The significance of this research lies in its integration of two key variables: first, innovative marketing, which represents a flexible marketing model that offers companies new methods to present their products and services by introducing changes in how the product or service is delivered, as well as in the channels used for transmitting marketing messages; and second, customer satisfaction, the understanding and analysis of which is essential for maintaining customer loyalty and, consequently, preserving and increasing the company’s market share.
The aim of the study is to explore "The impact of innovative marketing on enhancing customer satisfaction." The research problem was formulated through a set of key questions, most importantly: Does innovative marketing have an effect on achieving customer satisfaction?
To collect the necessary data, the research relied on a questionnaire as the primary tool. The study targeted the Scientific Pharmacist Office, which serves as a marketing agent for Samara Drug Industry Company and several other pharmaceutical companies across different regions in Iraq. A random sample of 65 employees working in the company was selected. Data were analyzed using SPSS v24.
The study reached several conclusions, the most notable being:
“The data analysis revealed that the company’s management pays considerable attention to the dimensions of innovative marketing, with the highest levels of attention focused on promotional innovation and distribution innovation, which in turn contributes to achieving customer satisfaction.”
Among the most important recommendations:
“The company should be proactive and quick in providing new and distinctive products to ensure customer satisfaction, which would increase its market share and guarantee its sustainability in the market.”
Abstract
Artificial intelligence (AI) applications are essential for enhancing payment security and improving customer experience in financial institutions. This research aims to examine the challenges faced by Mastercard in Australia and Visa in Singapore in implementing these technologies. The study focuses on three main areas: challenges related to fraud and privacy, the strategies employed by both companies to address these challenges, and the impact of AI applications on customer satisfaction and trust. The research adopts an analytical methodology that combines both qualitative and quantitative data, relying on diverse sources including academic studies and annual reports. The findings reveal that the effectiveness of AI applications varies across the two markets, reflecting different responses to local challenges. For instance, Mastercard demonstrates a greater reliance on machine learning technologies in Australia to combat fraud, while Visa in Singapore focuses more on enhancing privacy and data protection. The study offers strategic recommendations aimed at improving payment security and customer experience, such as increasing transparency in data usage and strengthening communication with customers. This research contributes to a deeper understanding of the role of AI in financial services, providing valuable insights for companies and practitioners in the sector. By addressing the unique challenges of each market, customer satisfaction can be enhanced and greater trust in digital payment services can be fostered.
Abstract
This research aims to know the role that strategic intelligence performed in its dimensions (forecasting, organized thinking, partnership, invention, and benchmarking) in influencing customer relationship management in its dimensions (customer acquisition, strengthening the relationship with the customer, customer retention, customer satisfaction) for a sample of private banks In the province of Baghdad, the two researchers relied on the questionnaire as a measure of the research variables, and the relationship between them was tested by selecting intentional sample that included (106) of (principals of senior departments - departments - and administrative units) working in the banking sector using statistical methods(SPSS, v.25) The results showed a direct impact relationship of strategic intelligence in managing customer relations, and the increasing interest of the surveyed banks in strengthening the relationship with the customer, which was one of its most prominent goals, and the research reached to a number of recommendations, most notably working on paying attention to strategic intelligence and activating its role among banking leaders to support invention capabilities and improve the reality of banking services.
Abstract
This study presents the impact of digital marketing on customer buying behavior and examines how digital marketing channels, such as social networks, search engines, and emails, influence customers’ purchasing behavior. The main purpose was to investigate the influence of digital marketing on customer's behavior and identify effective platforms for businesses in Soran independence administration to retain customers. The methodology of the study utilizes a quantitative approach through a survey questionnaire to gather data on the impact of digital marketing on customer buying behavior, including variables such as age, gender, income, education level, and online shopping behavior. The data is analyzed using statistical Package for social science (SPSS 26.0) to determine the relationship and effects of these variables on customer behavior. The study collected data from 250 participants who responded to a survey questionnaire distributed online to customers and people of Soran independence administration in several cities, districts, and sub-districts. The sample was appropriate, simple random sampling, and composed of demographic variables, questions about digital marketing, and purchasing behavior. The results of the study show that digital marketing has a significant impact on customer buying behavior, especially among younger and higher-educated people in Soran independence administration; it provides cost-effective and efficient ways for customers to fulfill their needs. However, businesses should be transparent to avoid deceiving customers. Digital marketing has a positive impact on customer satisfaction, but challenges such as timely delivery and over-advertising on social media remain and. Digital marketing has a significant impact on customer buying behavior, influenced by factors like education level, income, and social media usage. Valid factor analysis test supports this conclusion.
Keywords: Digital marketing management, Customers buying behavior, Social media, Instagram, Facebook.
Abstract
This research aims to demonstrate the importance of entrepreneurship in the Hashemite Kingdom of Jordan and the State of Malaysia, as interest in entrepreneurship has increased at the present time, due to technological progress and the competitive environment of local, international and global projects that had a great impact on the business environment. Entrepreneurship is important in the growth of the economy The country at the macro level and on the growth and expansion of projects and their access to material and financial resources, in order to gain customer satisfaction, increase profitability and market share, and small and medium enterprises can only thrive in a society in which there is an entrepreneurial spirit, love of free work, willingness to take risks, adopt new ideas and understand the mechanisms of competition In the global market. The research problem arises in showing the level of entrepreneurship in Jordan and Malaysia, and this will be done through three sections, the first one includes the theoretical side of the research, and the second topic includes an analysis of the experiences of the Hashemite Kingdom of Jordan and Malaysia, and the third topic includes an analysis of Jordan’s data on entrepreneurship
Abstract
The research aims to study the marketing recovery and its impact on the quality of service in the Iraqi Airways Company in Baghdad, affiliated with the Iraqi Ministry of Transport. The problem of the study focused on explaining the pace of increasing competition between business organizations, perhaps the most prominent of which are international airlines, including the company under study (Iraqi Airways Company - Baghdad), which strives to provide the best services to its customers with the highest quality rates, but it faces many negative issues that prevent the achievement of service quality. The current research relied on three dimensions of marketing recovery, which are: (apology, compensation, and assistance and problem solving). The researcher relied on the descriptive analytical approach, and the data were collected using a questionnaire. The research also included testing the main hypotheses to determine the correlation and influence relationship between the study variables using some methods of the two statistical programs (SPSS, AMOS) and then processing the data obtained. The study included (105) senior and middle management in the company under study (General Manager, Assistant General Manager, Department Manager, Division Manager) The study found a strong correlation and influence between the study variables (marketing recovery and service quality), indicating the interest of the company’s senior and middle management in these two aspects. Among the most important recommendations that emerged from the study are: the necessity for the company under study to rely on marketing recovery in all its dimensions (apology, compensation, problem solving) whether when providing the service or after it Continuing to improve and enhance these dimensions will contribute significantly to achieving quality of service, and it is necessary to conduct periodic surveys that help the company to know the quality of the services it provides, and the extent of customer satisfaction with its performance, as it provides valuable feedback that enables the company to continuously improve its services and respond better to customer expectations and needs, which leads to achieving quality of service.
Abstract
The research aims to reveal the impact of functional quality with its dimensions (credibility, response, empathy, and immediacy) on patient satisfaction in a private nursing home hospital in Medical City in Baghdad, as well as knowing the level of functional quality variables and their dimensions and the degree of patient satisfaction in the hospital. view of the sample members. A random sample of (133) patients was selected using the questionnaire as a measure of the research variables, and the questionnaire was distributed to them, and the statistical methods SPSS, v. The research reached a number of conclusions, the most important of which are: There is a strong and positive correlation of the functional quality variable with its dimensions and patient satisfaction, as well as the existence of an effective and essential direct effect of the functional quality variable and its dimensions in patient satisfaction. In addition to the presence of an average level of the functional quality of the health service in the hospital sample of the study, as well as the degree of patient satisfaction was moderate in the hospital environment. The research reached a set of recommendations, most notably attention to the psychological state of the patient and taking into account patients with special needs. Also, when providing health services, they must be free from any obstacles that affect the speed of their provision to patients, and the need to provide therapeutic and diagnostic services as quickly as possible and for all sick cases constantly.
Abstract
Given the swift digital changes occurring in the Banking industry, the purpose of this paper is to examine how well artificial intelligence systems can forecast and protect against future disasters. By utilizing its skills in big data analytics, forecasting financial behavior, and more accurately and effectively managing risks, artificial intelligence (AI) is increasingly regarded as a crucial component in the development of banking systems and improving their operational efficiency.
By enhancing client satisfaction, tailoring banking services to meet the demands of each individual, and cutting down on operational errors and administrative expenses, banks hope to gain a competitive edge by utilizing these technologies. AI also helps to speed up credit decisions, make it possible to identify financial crime early, and create clever marketing plans based on forecasts of future market trends.
In order to ensure financial sustainability and achieve integration between digital transformation and the demands of banking innovation, studies show that the future of AI encompasses strategic, cultural, human, technological, and organizational dimensions in addition to technical ones.
The paper also examined a number of anticipated long-term effects of AI applications, such as increased forecasting precision, lower operating expenses, better customer satisfaction, increased worker productivity, and assistance with investment choices. The findings show that implementing AI applications in the banking sector is a strategic requirement to guarantee long-term growth and competitiveness in the digital era, not a technical luxury.
In order to enhance lending decisions and lower default risks, the paper also assesses how well a number of categorization algorithms work in assessing loan applicants' creditworthiness. Using a dataset that represented the traits and financial activities of clients, seven machine learning techniques were used: Gradient Boosting, Random Forest, Extra Trees, Gaussian Naive Bayes, Logistic Regression, SVC-RBF, and KNN.
The paper used a database of 21 variables for loan applicants. Numerical variables included (age, income, credit score, debt-to-income ratio, and loan amount). Descriptive variables included (loan purpose, region, marital status, employer, educational level, and application channel). Binary variables included (whether or not the applicant had a history of default). These variables were used to predict the approval or rejection decision, with the dependent variable being represented by two values: 0 for rejection and 1 for approval.
The models were evaluated using the following six key performance indicators: Accuracy, Precision, Recall, F1 Score, Receiver Operating Characteristic Area Under the Curve (ROC AUC), and Brier Score. The findings demonstrated that the Gradient Boosting algorithm performed best overall in both probability prediction quality and customer differentiation across different risk levels. The Random Forest algorithm, which showed stability and balanced metrics, came next. On the other hand, despite its moderate performance, Logistic Regression provided great interpretability, while the Gaussian Naive Bayes algorithm demonstrated high sensitivity in identifying high-risk customers. In terms of overall accuracy and probability quality, some models—like SVC-RBF and KNN—performed worse.
Abstract
The study objective to determine the extent to which the principles of continuous improvement are applied in the field of innovation in banking services and industry, by relying on technological development in the banking industry and administrative systems in order to achieve customer satisfaction and increase confidence in banking services, by providing banking services that keep pace with the automation of banking operations and in line with the trends The Central Bank is in the transition to electronic money, so the research stems from an important intellectual provocation, namely, do Iraqi banks use continuous improvement techniques and what are the criteria for evaluating their services? The research also aims to track the development of the characteristics of services according to the development of the financial needs of customers and to know the nature of the relationship between the principles of CI and the characteristics of BS. , standard deviation, correlation coefficient, coefficient of determination) that the most important characteristics of BS are understandable to the customer, and this depends on the employees and the declared policy of the bank.