The accurate and efficient classification of leukemia images is crucial for early diagnosis and effective treatment planning. Traditional methods often face challenges in handling the complexity and variability of medical images. To address these challenges, we propose a novel approach that leverages the Gray Level Co-occurrence Matrix (GLCM) and statistical feature-based segmentation techniques. In this paper, we present a comprehensive framework for the automated classification of leukemia images using advanced image processing techniques. The methodology involves six key stages: input of leukemia images, preprocessing to enhance image quality, segmentation to isolate relevant features, feature extraction using texture analysis, classification using multiple distance metrics Euclidean, Manhattan, Canberra, and Chebyshev, and performance evaluation. Our results demonstrate significant improvements in classification accuracy, sensitivity, specificity, and error rates across various metrics and feature sets. For instance, using the Chebyshev distance, we achieved an average accuracy of 82.69%, sensitivity of 85.95%, and specificity of 82.77%. The Canberra distance provided optimal performance with 65 features, yielding an accuracy of 85.18%, sensitivity of 86.39%, and specificity of 86.31%. These findings underscore the efficacy of our approach in distinguishing between healthy and leukemic cells, thereby contributing to early diagnosis and effective treatment planning for leukemia.

Recently, Lean Six Sigma (LSS) has attracted much attention from both researchers and practitioners. In fact, many published papers used a quantitative research methodology to build and test theory in the field of LSS implementation in manufacturing area. Very few studies have been reported about the critical success factors influencing of six sigma implementations. The aim of this study is to present the results, from an empirical evidence, of Six Sigma implementation in Tunisian manufacturing. Therefore, fourteen main factors have been identified through literature review and questionnaire survey. Interpretive structural modeling (ISM) has been used to develop a hierarchical structure for analyzing the interactions among the key factors. By using the MICMAC technique, the barriers were classified into four groups according to their driving power and dependence power. Our finding provides important insight to managers and practitioners about factors in the LSS implementation process.

The Kingdom of Saudi Arabia has witnessed a significant surge in online shopping in recent years, fueled by factors like growing internet penetration, smartphone adoption, and government initiatives supporting e-commerce growth. This rise in online activity has led to a corresponding increase in the utilization of online courier services, playing a crucial role in ensuring timely and efficient delivery of goods In this context, understanding public perception of online courier services becomes crucial for businesses to improve their offerings, address customer concerns, and maintain a competitive edge. Social media platforms have emerged as a valuable source of customer feedback and user-generated content, offering insights into customer experiences and opinions. This paper presents a sentiment analysis on online couriers in Saudi Arabia using natural language processing techniques combined with Decision Tree and Support Vector Machine (SVM) classifiers of machine learning. A dataset on customers’ sentiments was created by a crawling process from X social media. Both classifiers perform well, with Decision Tree classifier performs slightly better on accuracy, i.e. 95.01% compared to 93.60% of the Support Vector Machine. Other metrics support the robustness of the classification.

This study aimed to determine the impact of digital transformation (DT) and digital accounting (DA) on the financial reports quality (FRQ) in companies listed in the Saudi capital market. Data were collected using a questionnaire distributed via email. The research sample consisted of 116 individuals, including accountants and executive directors in companies listed. The study adopted the smart PLS method to test hypotheses. The study found that there is an incomplete positive relationship between digital transformation and the quality of financial reports through the positive impact on the characteristics of relevance and understandability, as well as the existence of a complete positive relationship between digital accounting and the FRQ through the impact on all characteristics of accounting information.

This paper aimed to examine a conceptual model for the relationships between hospital service quality, patient satisfaction, hospital utilization, and hospital financial performance. A total of 176 hospitals was selected from California State for this study. The standardized performance measures were used together with precisely defined specifications and standardized data collection protocols. First, an exploratory factor analysis with Varimax rotation was performed. The measurement prop-erties were then assessed in a confirmatory factor analysis (CFA). The analysis results show that quality had a significant effect on satisfaction, which, in turn, affected the financial performance. The results provide support for the previous findings indicated that service quality was positively associated with patient satisfaction and that satisfaction and utilization had a significant positive effect on financial performance. The analysis results provide support for the previous findings that hospital service quality is positively related to patient satisfaction. The findings also show that patient satisfaction and hospital utilization have a significant positive effect on hospital financial performance.

This study unraveled the effects of strategic management and organizational culture on organizational performance. It also determined the most triggering predictor of organizational performance. In this study, strategic management focused particularly on the formulation and implementation strategy. A number of 291 officers from government organizations participated in this study. Self-administered questionnaire was employed for the data collection. The analysis revealed that the performance of government organizations was impacted by organizational culture, dimensions of formulation and implementation strategy. Organizational culture emerged as the most triggering predictor on organizational performance. The study concludes with some implications for practice and theory.

Rapid economic changes and globalization have triggered urgent response from firms to devise ef-fective strategies in improving performance and ensuring long-term survival. This study examined the influence of environmental strategy and competitive advantage on business performance. Subsequently, it determined the different effects of environmental strategy and competitive advantage on business performance. This cross-sectional study involved a total of 222 hotel managers as respondents. Data in the study was obtained via self-administered questionnaires. Partial Least Squares (PLS) analysis was used to test the hypotheses of study. Findings of this study revealed the significant and positive effects of environmental strategy and competitive advantage on business performance. Competitive advantage has been found to contribute towards a higher variance on business performance than environmental strategy. Results obtained have proven the robustness of the theory applied in this study to explain the business performance of the tourism industry in the context of a developing country. The results close the gaps in previous research findings that will add to the current body of knowledge.

This study examined the relationship between Theory of Planned Behavior and knowledge sharing among nurses in Patient Computer Management System. Consequently, it determined the moderating effect of distributive justice on the relationship between Theory Planned Behavior and knowledge sharing. A quantitative approach was employed in this study. The research was based on a correlational and cross-sectional study which involved a total of 336 nurses. Data was collected based on random sampling via self-administered questionnaires. Partial Least Squares (PLS) (Version 3.0) analysis was used to analyze the data. The study revealed that Theory of Plan Behavior components were significantly related to knowledge sharing. These components were also found to have a significant and positive influence on knowledge sharing. The study revealed that distributive justice had significantly moderated the relationship between two components of Theory Planned Behavior (attitude and subjective norm) and knowledge sharing.

Students’ evaluation of quality in higher education is becoming increasingly important and widely accepted. Various researchers have reported that “high quality” education creates sustainability among students to accomplish their goals over a period of time. The intention of the present study was to explore students’ perceptions of quality in higher education in terms of curriculum content, learning and teaching experiences, institutional resources and outcome and assessment. A total of 91 students were randomly selected from the business and engineering colleges within Prince Sattam bin Abdulaziz University. The data were analyzed using descriptive and inferential statistics to obtain accurate results pertaining to the motif of the research. The findings revealed that total institutional factors emerged as one of the most prominent predictors of the outcome and assessment within the two different aforementioned disciplines. This paper concludes with suggestions for further investigation.

The research aimed to evaluate the impact of operations management practices (OM) on the competitive advantage of Saudi Arabian Small and medium-sized enterprises (SMEs). It further aimed to analyse the mediating role of supply chain management practices (SCM). The research design of the study was quantitative, and primary data was gathered using a close-ended survey questionnaire. In this research, 383 participants were recruited belonging to different industries. The analysis was conducted on SmartPLS with SEM as the primary technique. The results revealed that operations management practices significantly helped in gaining competitive advantage, and supply chain management practices mediated the relationship partially. However, this research was limited to SMEs of Saudi Arabia, therefore, it can be improved in the future with the inclusion of other factors and considering other countries as well. Precisely, it is recommended that the SMEs should focus on leveraging their core competencies or identify an area which can give them a definite competitive advantage and further ensures that customer needs are translated on the product planning.