The primary challenge in the supply chain is minimizing travel distance and time between hubs and customers. Inappropriate assignment of vehicle routing results in travel distances longer than required, causing delays in achieving timely deliveries, and ultimately negatively affect the customer expectations routes. In this study, the selecting optimal vehicle routing has been addressed. This involves calculating the shortest possible that meets the demand effectively while adhering to various logistical constraints like warehouse fixed positions, demand variety, demand quantity, and destination locations. Dynamic programming has been developed where numerous time period-based fluctuations can be accommodated such as fluctuations in traffic, alternative routes availability, and changes in travel distances. The weighted demand cost matrix has been introduced to prioritize and cluster the group of customer nodes for the assignment of certain vehicles. Moreover, API google distance matrix (latitudes and longitudes) has been integrated into the model to extract live locations of source-and-demand nodes which are a function of different time periods of a day. The dynamic has optimized the vehicle routes and results in 30.9% reduction comparing the existing case. The validation was done through four more cases where different possibilities such as business expansion, network growth, demand fluctuations, and vehicle capacities.

In today's dynamic business landscape, projects are crucial for organizational success, leading to a greater emphasis on project-based operations. While traditional measures of project success, such as cost, time, and budget, remain relevant, they are increasingly recognized as insufficient. This study investigates the influence of inclusive leadership on project success within Pakistan's construction industry, focusing on the mediating role of project citizenship behavior (PCB) and the moderating effect of project complexity. Data were collected from 644 employees across various public and private construction projects in Pakistan using a cross-sectional survey. Partial least squares structural equation modeling (PLS-SEM) was employed using SmartPLS 4 software for data analysis. The results indicate that inclusive leadership has a positive and significant impact on project success. Furthermore, project citizenship behavior positively and significantly mediates the relationship between inclusive leadership and project success. Finally, project complexity negatively and significantly moderates the relationship between inclusive leadership and project success, but not the relationship between inclusive leadership and project citizenship behavior. This study contributes to the project management literature by highlighting the importance of inclusive leadership and PCB in driving project success. It also provides practical implications for managers in construction SMEs, emphasizing the need to cultivate inclusive leadership styles and foster a supportive environment that encourages PCB. The study concludes with limitations and directions for future research, including exploring other leadership styles, moderators, and mediators, utilizing longitudinal designs, and examining smaller-scale construction subsectors.

The research aims to examine the mediating effect of sustainability disclosure on the relationship between proactive tax planning and firm value among companies listed in the ESG100 Index. The sample comprises 114 firm-year observations from ESG100 companies during the period 2020 to 2022. This study utilizes secondary data. Moreover, a statistical regression method was applied using balanced panel data analysis, integrating both cross-sectional and time-series data to test the research hypotheses. The findings indicate that proactive tax planning has no significant effect on sustainability disclosure. However, sustainability disclosure has a positive and significant effect on firm value, whereas proactive tax planning has a negative and significant effect on firm value. This suggests that proactive tax planning may reduce firm value due to associated costs, such as tax advisory fees. Executives should therefore carefully evaluate the costs and benefits of proactive tax planning and choose strategies that optimize long-term benefits for the company. Understanding the tax costs involved in business operations should be a priority for management. The study's findings also suggest that regulatory authorities should develop tax policies that are contextually appropriate for Thailand and align with current economic conditions. In addition, the study reveals that investors place a high value on sustainability disclosure.

In this research, which examines the factors affecting customer satisfaction in construction projects, the convenience sampling method was preferred, and data were collected from participants aged 18 and over by face-to-face survey method. Smart PLS statistical software was used to analyse the data with a structural equation model. According to the results of the analyses, cost-effectiveness and lead time stand out as factors affecting customer confidence. Customer confidence directly affects customer satisfaction. In addition, quality perception has a strong effect on customer satisfaction. According to the results of multiple group analysis, customer satisfaction varies according to different buyer segments. While quality perception, cost-effectiveness and lead time are at the forefront for those who buy a property for commercial use, customer confidence has a more decisive role for those who buy a property for personal use. In addition, groups with lower incomes prioritise cost-effectiveness and customer confidence, while groups with higher incomes attach more importance to lead time.

This study aims to explore the role of workplace flexibility in promoting creativity and innovation within emerging entrepreneurial projects in Saudi companies. The study adopted a descriptive approach to data analysis and used a questionnaire to collect data from a sample of (120) participants working in emerging entrepreneurial projects. The study included two axes (workplace flexibility and creativity and innovation). The results showed a high level of workplace flexibility among the study sample and a high level of creativity and innovation. Analyses revealed a positive relationship between workplace flexibility and creativity and innovation, indicating that providing a flexible work environment contributes to promoting creative behaviors within emerging entrepreneurial projects. The results did not reveal statistically significant differences in participants' responses attributable to demographic variables (job title, age of the entrepreneurial project, number of years of experience), which supports the generalizability of the results. The study presented a number of practical recommendations, most notably the adoption of flexible workplace policies and the development of work environments that stimulate innovation, which supports the success of entrepreneurial projects in the Kingdom of Saudi Arabia.

This paper analyzes the effect of Artificial Intelligence (AI) implementation projects on the operational performance of manufacturing companies in Indonesia, considering the mediating role of quality internal integration, quality external integration, and supply chain responsiveness. This study uses a quantitative research approach, utilizing a survey method, with 109 manufacturing companies in Java and Bali that have adopted AI technology in their production processes. Data processing was carried out using the Partial Least Squares (PLS) approach. The results indicate that the AI implementation project has a significant impact on both internal quality integration and external quality integration but does not directly affect supply chain responsiveness or operational performance. Quality internal integration is proven to be a key variable that significantly affects quality external integration, supply chain responsiveness, and operational performance. Meanwhile, quality external integration has a significant effect on supply chain responsiveness but not on operational performance directly. Additionally, supply chain responsiveness has been proven to positively contribute to improving operational performance. The conceptual model developed in this study successfully demonstrates a multi-layered influence path from AI implementation project to operational performance through quality integration and supply chain responsiveness. This study highlights the importance of synergy between AI technology and internal and externally integrated quality management systems in achieving operational excellence in the manufacturing sector. These findings expand the theoretical understanding of the strategic role of AI in the context of supply chain and operational quality.

A majority of companies are involved in the planning and execution of projects. The number of projects that companies need to evaluate has significantly increased in recent years. This trend has various causes, such as the digitalization of corporate processes, diversification, or strategic positioning in the face of ever-changing market conditions. The characterization of projects into mandatory and optional, as well as the evaluation of these projects, can be conducted based on various mixed criteria, which may include both cost and benefit criteria. The limited resources of companies necessitate a critical assessment of projects. They must be ranked based on realistic and plausible criteria regarding their benefits and objectives of the company. In the literature, various approaches to project evaluation exist. Examples include financial assessment, the utilization of evaluation models considering risks, or even multi-criteria models that incorporate different aspects of projects into the evaluation process. We propose a robust, scalable, and easily calibrated multi-criteria evaluation model for project evaluation and ranking, encompassing evaluation criteria such as financial criteria measured by Net Present Value (NPV), Risk, Classification, Priority, Strategy, and Sustainability. To achieve this goal, the Technique for Order of Preference by Similarity to Ideal Solution with multi type projects multi mixed cost and benefit criteria (TOPSIS-MTPMMCBC) is employed. The model is adapted to evaluate and rank optional and mandatory projects. An important feature of the projects in this study is that the criteria values of the projects can have negative or positive values. Particularly noteworthy is the increasing significance of sustainability as a key criterion for businesses, driven by political mandates. Consequently, a decision based on the criterion of sustainability will be important in the future and is implemented in the proposed model. The proposed research can be adapted to use a variety of Key Performance Indicators (KPIs) as multiple decision criteria. An objective calculation of the criteria weights for sample dataset was carried out using the CRITIC method, followed by a sensitivity analysis. Subsequently, the optimization of the project portfolio was carried out by combining an integer programming model with the proposed TOPSIS-MTPMMCBC method. An initial solution of project evaluation and ranking is conducted to demonstrate the applications.

This paper explored how social media characteristics affected users’ attitudes toward the utilization of Greater Amman Municipality (GAM) e-project management located in Jordan. Data were collected through online survey, involving 456 GAM e users, and analyzed using partial least squares-structural equation modelling. Results showed user attitudes and social media characteristics (reliability, security and website design) as direct significant antecedents of GAM e-project management usage. Furthermore, three direct significant relationships were shown between social media characteristics and GAM e-project management usage. Results also demonstrated three direct significant relationships between social media characteristics and users’ attitudes. Next, results showed one direct significant relationship between users’ attitudes and GAM e-project management usage. Three indirect significant relationships between social media characteristics and GAM e-project management usage were detected via mediation of users’ attitudes. This study recommended (among others) paying attention to other social media characteristics that have impact on GAM e-project management usage, namely, responsiveness, privacy, and site content.

This study investigates the impact of risk management and agile methodology on the success of cybersecurity projects, emphasizing the mediating role of team collaboration within the financial sector. Based on a sample of 229 professionals, including IT specialists, project managers, and risk officers, data was collected using a structured survey instrument and analyzed through Structural Equation Modeling (SEM) using SmartPLS. The results confirm that both risk management and agile methodology have direct positive effects on cybersecurity project success. Additionally, both factors significantly enhance team collaboration, which in turn positively influences project outcomes, thereby confirming its mediating role in the relationship between these variables and cybersecurity project success. All proposed hypotheses were supported. The findings highlight the crucial interplay between management practices and team dynamics in ensuring project success. The findings also provide valuable theoretical insights and practical implications for enhancing cybersecurity initiatives in the financial industry.

Sustainable Development Goals (SDGs) 8, 9, 12, 13, and 16 highlight the importance of industrial innovation to align the firms’ financial goals with sustainable green investments. There is a vast literature investigating the trade-off between Corporation Financialization (CF) and green project investments. This study reviews such literature by following a systematic review approach of PRISMA and selected 90 research papers from the Scopus database published during 2011-2025. The findings suggest that CF has a deep impact on firms’ innovation and sustainability behavior, which is largely influenced by governance structures, managerial incentives, and strategic priorities. The literature informs that excessive CF usually discourages investments in innovation and green projects. Firms’ CF activities prioritize shareholder value over green project investments. However, environmental regulations, green finance initiatives, and carbon market mechanisms change the CF behavior of firms in highly polluting industries with strong governance. Policy uncertainty reduces the incentive for green project investments. Moreover, firms’ financial constraints increase CF and reduce investments in green projects. However, digitalization and technological change help to increase green investments. Moreover, state-owned firms are more active in green project investments compared to private firms. In addition, the government's stringent environmental regulations and governance reforms help to mitigate CF’s crowding-out effect on green project investments. The literature provides policy implications to integrate sustainability into core financial strategies by aligning investment decisions with long-term environmental goals, which can be achieved by strengthening governance, adopting green finance frameworks, and influencing firms’ strategic financial management in favor of green projects.