This study examined the impact of activity-based Costing ABC and information technology IT on decision-making and competitive advantage in Sudanese industrial projects. The experimental results of this study were based on a questionnaire administered to accountants and administrators in 61 industrial projects in Sudan, and the data were analyzed using partial least squares. The study's results indicate that using activity-based costing and information technology methods in determining costs, evaluating company profits, and approximating product costs positively affects managerial decisions while improving the competitive advantage of industrial projects. The use of activity-based Costing and information technology affects decision-making and competitive advantage in industrial projects in Sudan. The study recommended that continuous training helps obtain the benefits of using activity-based Costing and information technology in industrial projects. The results show that the result gained from using activity-based Costing and information technology in determining costs, decision-making, and expanding competitive advantage has been affected by attending training programs, gradually, based on learning the capabilities of the activity-based costing system and the information technology system.

The present study evaluated the relationships between IT application and KM practice adoption, and project performance. KM practice adoption as a mediator in the relationship between IT application and project performance, was ascertained. A research model was constructed and validated utilizing structural equation modeling (SEM). Results of analyses demonstrated a positive relationship between IT application levels and knowledge management levels of projects. Also, high-level knowledge management contributes to project outcomes. Full mediation of KM practice adoption on the effects of IT application on project performance was affirmed.

This paper discusses an integrated model of batch production and maintenance scheduling on flow shop with two deteriorating machines producing single item to be delivered at a due date. The model describes the trade-off between production and maintenance costs as the production run length increases on two machines. The objective function of the model is to minimize the total cost consisting of in process and completed part inventory costs, setup costs, preventive & corrective maintenance costs and rework costs on two machines. The step-wise optimization algorithm is developed to solve a mixed integer quadratic programming. Comparison with the practice and the model sensitivity analysis are demonstrated to clarify how the algorithm works.

The Indonesian manufacturing industry contributes significantly to economic growth in the globalization era. The capability of company leaders to manage excellently determines manufacturing's competitiveness and sustainable performance to survive in current conditions. This study examines the impact of management style and supply chain coordination on operational performance through lean project adoption. The research surveyed manufacturing companies in Indonesia by distributing questionnaires with Google form links to industry practitioners. The survey obtained 172 manufacturing companies with purposive sampling, which is at least the staff level in the company and permanent employees. Data processing is carried out by structural equation modeling and meets the goodness of fitness. The processing results showed that management style influenced internal supply chain coordination by 0.729, external supply chain coordination by 0.221, and lean project manufacture by 0.152. The company's internal supply chain coordination impacts increased external supply chain coordination by 0.512, lean project manufacture by 0.375, and operational performance by 0.405. External supply chain coordination impacted the increase in lean project manufacturing by 0.396. and operational performance of 0.234. Lean project manufacturing in the company impacts operational performance by 0.172. The practical contribution of the research provides insight into supervisors and managers always to be consistent and committed to lean manufacturing practices and build strong internal and external coordination. The theoretical contribution of research can enrich the theory of a resource-based view with sustainable supply chain and leadership transformation.

jective FLP. Generally, quantitative factors are considered as material handling cost, time, etc., and qualitative factors are considered as closeness rating, hazardous movement between the facilities, etc. For solving and optimizing two or more objectives, two methods are available. First is weight approach method and second is non-dominated sorting method. In the former method, suitable weights are given to each objective and combined in a single objective function; while in later method, the objectives are defined separately and by making comparison of the solutions on the non-dominance criteria, best Pareto-optimal solutions are obtained. In this paper, equal area multi-objective FLPs which are formulated as quadratic assignment problem (QAP) are considered and optimized using biogeography based optimization (BBO) algorithm and non-dominated sorting BBO (NSBBO) algorithm. BBO is one of the efficient metaheuristic techniques, developed to solve complex optimization problems. Computational results of BBO algorithm using weight approach illustrate its better performance compared to other methods while solving multi-objective FLPs. Furthermore to obtain Pareto optimal solutions, NSBBO algorithm is implemented.

This study aims to analyze the influence of the Balanced Scorecard (BSC) dimensions (financial, customer, internal processes, and learning and growth) on Total Quality Management (TQM), with sustainability performance as a mediating variable. The study utilized a cross-sectional survey method, distributing 400 questionnaires to employees in the service projects in KSA. Out of these, 340 questionnaires were deemed valid for final analysis. Data analysis was conducted using the SmartPls program. The study found that all BSC dimensions, except for the learning and growth dimension, had a negative direct effect on TQM, and the BSC dimensions through sustainability performance positively affected TQM, except for the learning and growth dimension. The main contribution of the research is to identify the BSC dimensions that best predict TQM in service projects in Saudi Arabia. The extended model test shows that sustainability performance is a good mediator in the causal relationship between the BSC dimensions and TQM. Future research can validate these findings in projects such as capital construction and industrial projects using a longitudinal survey design. Organizations can apply these research findings by leveraging the Balanced Scorecard as a management framework for predicting and improving TQM.

This study investigates whether gender differences exist in the levels of sustainable project management competencies and awareness of the Sustainable Development Goals (SDGs), specifically SDG 9 (Resilient Infrastructure) and SDG 11 (Sustainable Cities and Communities), among College of Business students at Prince Sattam bin Abdulaziz University. A questionnaire was employed to assess six key sustainable competencies: communication, leadership, management, cognitive ability, effectiveness, and professionalism. The sample consisted of 63 students from diverse business disciplines, including accounting, finance, management information systems, and human resources. The questionnaire was developed based on an extensive review of the literature and validated by experienced educators. Data analysis included descriptive statistics and the Mann-Whitney U test to examine gender differences in competency levels and SDG awareness. The findings reveal significant gender differences, with female students demonstrating higher mean ranks across all competencies and SDG awareness compared to their male counterparts. These results suggest that gender may play a significant role in the development of sustainable project management competencies and the understanding of global sustainability challenges. This study contributes to the literature by offering valuable insights into how gender influences students’ potential to engage with SDGs, particularly SDG 9 and SDG 11. The findings emphasize the importance of incorporating sustainable project management competencies into academic curricula to enhance students' awareness of SDGs, and they highlight the need for gender-sensitive educational strategies that promote inclusive sustainability education.

With the intention of addressing product quality, machine reliability, and acceptable service level issues in real fabrication systems, this paper studies joint effects of stochastic breakdown, backorder of permissible shortage, rework, and scrap on the optimal stock replenishing policy. A decision model is developed to solve the problem, which consists of mathematical modeling, formulations, and optimization method in order to help analyze the problem, derive the system cost function, and find the optimal replenishment cycle length decision. Applicability of the research results are demonstrated by a numerical example. The proposed decision model enables production managers to not only determine the optimal stock replenishing policy, but also reveal individual impact and/or joint effects of stochastic breakdown, defective rate, backorder of allowable shortage, rework, and scrap on the replenishing decision. With such an in-depth study, diverse system characteristics become available for managerial decision-making.

Word of mouth (WOM) advertisement plays an essential role for business development. WOM helps consum-ers become familiar with new products and services, the quality of services and promotes different choices with possibly better features. This paper examines the effect of word of mouth advertisement in medical treatments in Batavia hospital in west Jakarta, Indonesia. The study examines the effects of WOM on patient’s fulfillment, satisfaction and re-admission in this hospital. The study designs a questionnaire and distrib-utes it among some patients who are waiting to receive medical care at this hospital. The survey only concentrates on patience who used the medical treatment for at least two times. Structural equation modeling is used to examine the hypotheses of this survey. The results indicate that WOM could increase the patience’s awareness and positively influence on patience’s choice for getting more treatment.

Digital transformation refers to technological application with a comprehensive shift in corporate governance's mindset, structure, and strategy. In particular, digital transformation project management is key in ensuring that digital transformation initiatives are implemented on schedule and achieve the set goals. This study investigates the importance of a leader's project management competence and other internal factors in successfully implementing digital transformation projects. Through Partial Least Squares Structural Equation Modeling (PLS-SEM), data collected from questionnaires administered to 436 small and medium-sized enterprises (SMEs) in Thanh Hoa, Vietnam shows that all four internal factors included in the model directly affect the transform digital ability and indirectly affects the level of digital transformation of SMEs, in which the most decisive influence comes from digital transformation strategy, followed by the influence of corporate culture, technology platform and finally workforce competence. More specifically, this study has demonstrated that an enterprise's digital transformation can be considered a project, and the leader's project management competence determines the project's success. The project management capacity of the enterprise leaders not only directly affects the digital transformation results but also plays a positive moderator in the association between digital transformation capability and the digital transformation level of SMEs. The results suggest several recommendations for leaders of SMEs in Thanh Hoa Province to improve project management capacity, thereby promoting the digital transformation process.