Global journal of Business and Integral Security

Enhancing Sourcing Efficacy Through Fact-Based Negotiation: The Role Of Supportive Intelligence

2025-03-21T07:44:29-07:00

In the context of global procurement and sourcing strategies, the integration of Fact-Based Negotiation (FBN) with artificial intelligence (AI) and machine learning (ML) technologies marks a crucial transformative step. This research proposal, entitled
"Enhancing Sourcing Efficacy through Fact-Based Negotiation: The Role of Supportive Intelligence," delves into the significant role AI and ML play in refining FBN—a data-driven approach that embraces objective, transparent and informed decision-making in contract negotiations. The study demonstrates how the adept incorporation of advanced analytics and automation can substantially streamline negotiation processes within organizations, leading to improved outcomes, higher efficiency, and reduced costs.

This research heralds the importance of systematic and data-centric approaches in today's digital era, where data equates to value. It advocates for novel sourcing negotiation strategies through a meticulous literature review and empirical analysis, specifically exploring AI and ML within the parameters of lean thinking. The literature reviewed highlights the urgent requirement to modernize conventional negotiation practices to excel in the evolving data-centric business environment.
Moreover, the research illuminates the pivot essential to adapt sourcing methodologies, proposing that the synergistic application of FBN, AI, and ML can induce a paradigm shift in procurement processes. This alignment is anticipated to set a new standard for management and operations, applicable across various industry sectors.

Examining A Sports Mindset Program’s Impact On Executive Performance In Two Global Organisations

2025-03-21T07:41:48-07:00

An innovative, integrated learning program focused on building more effective mindset skills and modelled on methods and concepts used in elite sports was examined to determine its impact on the performance of a sample of 20 senior leaders in 2 global organisations.
The participants took part in a four-month-long online learning experience set within a unique virtual environment. This learning environment was engineered to help the participants develop their skills to achieve a "high-performance" mindset. A mixedmethods evaluation approach, using both qualitative and quantitative assessment tools, was employed to measure participant’s performance before, during and after their virtual learning experience.
The outcome was evident: Participants and their leaders reported that the integrated mindset training improved things significantly at work and home. Surveys comprising four different metrics and two different sentiment analysis results also showed a positive trend.
The researcher also built a new index, the Integrated Mindset Index, which was reviewed by elite sporting coaches from six sporting codes and the organisations leaders; the Index can be used to assess an individual’s progress in building an integrated mindset.
At the very least, what happened in this research study sets a good precedent for the use of integrated mindset learning in organisational development strategies, particularly in achieving greater engagement and well-being of staff, both current and future.
Fundamental in a competitive business world.
This research study sheds light on how you can take the learning methodologies used in elite sports and adapt them to the world of executive education. It also confirms the vital importance of nurturing a growth-oriented mindset in business leaders if you want them and their teams to perform at peak levels.
Further research is recommended with a larger cohort and control group over an extended period, to assess the impact of integrated mindset learning on organizational productivity, whilst also expanding the application of the Integrated Mindset Index and sentiment analysis.

Water Supply Schemes, Community Capacity Building, And Pro-Agripreneurship Among Mbororo Households In Western Highland Of Cameroon

2025-03-21T07:38:48-07:00

The study analyses the effects of water supply schemes and agriculture community capacity building on pro agripreneurship among the Mbororo households at the West and North West Region of Cameroon. Data used in the study was elicited through the survey questionnaire administered on a sample of 475 households who lives in the rural setting in the various areas. Cluster sampling approach was used in grouping proximity villages into four zones and purposive sampling technique was adopted in selecting the households. The objectives of the study were achieved empirically by relying on the maximum likelihood estimation techniques in general structural equation modelling; principal component analysis was used to construct the indexes, and ordinary least square estimation method for consistency test in the findings. The results show that water supply schemes have a significant positive effect on pro agripreneurship at 1% significant level. The results equally indicated that agriculture community capacity building has a significant effect on pro agriprenuership. The signicificant of the effect of water supply scheme and agriculture community capacity building on pro agripreneurship means that a 1 unit increase in the level of water supply schemes cause 38.8% surge in the level of pro agripreneurship while agriculture community capacity building on the other hand resulted to an increase in pro agripreneurship to the tune of 35.2%. The findings also show that community capacity building does not strengthen the contribution of water supply schemes on pro agripreneurship. The results equally indicated that there is no statistically significant mean difference in pro-agripreneurship between male-headed and female-headed Mbororo households in the western highland of Cameroon. Based on these findings, the study therefore recommends that policies aimed at promoting rural agripreneurship development among indigenous group should adopt an integrated approach of agriculture community capacity building programs and water supply schemes initiatives.
Keywords: Community, Agripreneurship Sustainability, Inclusive Development, Cameroon.

Framework For Vehicle Environmental Impact: Machine Learning Approach In Canadian Policy

2025-03-21T07:36:26-07:00

In this dissertation, we investigate using machine learning methodologies to categorize vehicles based on their ecological impact in the Canadian context, focusing on vehicle emissions and their influence on climate change and public health. The study commences with identifying key variables affecting vehicle emissions, such as CO2 emissions, fuel efficiency, engine size, fuel type, vehicle weight, and age. The research establishes strong correlations among these variables through comprehensive exploratory data analysis, particularly highlighting the inverse relationship between fuel efficiency and CO2 emissions and the higher emissions associated with more extensive and older vehicles. These findings underscore the importance of targeted policies to advocate for fuel-efficient, smaller, and newer vehicles to mitigate emissions.

The research further examines the relationships among fuel efficiency, fuel type, and vehicle emissions, confirming that fuel-efficient vehicles consistently produce lower emissions. Electric and hybrid vehicles, in particular, significantly outperform gasoline and diesel vehicles in terms of environmental impact. This analysis emphasizes the environmental benefits of transitioning to electric and hybrid technologies and lays the groundwork for policy recommendations to support this transition through incentives and infrastructure development.
A central focus of the study is developing and evaluating machine learning models for classifying vehicles based on their environmental impact. Various algorithms, including Decision Trees, Random Forests, Gradient Boosting Machines (GBM), Support Vector Machines (SVM), and K-nearest neighbours (KNN), are assessed for their effectiveness. The GBM algorithm is identified as the most accurate and robust, positioning it as a crucial tool for policymakers in identifying high-impact vehicles and designing targeted regulations. Despite challenges such as data quality and model interpretability, the success of the GBM model demonstrates the potential of machine learning in driving data-informed policy decisions and promoting sustainable transportation.
To conclude, this dissertation highlights the capability of machine learning to comprehend and diminish the environmental impact of vehicles. The research provides practical insights that can significantly enrich transportation policies by identifying critical variables, scrutinizing their interrelationships, and devising effective classification models. These insights can further support the efforts of the Canadian government in reducing greenhouse gas emissions and promoting sustainable development. Future research is suggested to integrate real-time data, broaden the geographic and temporal scope, explore advanced machine learning techniques, enhance model interpretability, and formulate scalable solutions for broader implementation.

A Model On The Role Of Technology In Maritime Security

2025-03-21T07:33:57-07:00

A wide variety of goods, including raw materials, completed goods, and bulk materials, can be efficiently and affordably transported via maritime routes. In response to the shift in economic power brought about by "Globalisation" and the proliferation of trade-friendly policies, the shipping sector has been providing first-rate services to customers all over the world. The overarching goal of this research is to assess the maritime industry's susceptibility to maritime crimes, including piracy, armed robbery against ships, and maritime terrorism, by reviewing relevant legal instruments and conducting an internal evaluation. The approach applied in this research entails qualitative and quantitative data by interviewing the main maritime stakeholders such as the administrative officers, law enforcement, and the shipping companies, and using surveys and statistical testing. Questionnaires were administered to a diverse sample of maritime stakeholders: foreign navies, coast guards, and shipping companies, so as to achieve a cross-sectional view of the status of maritime security worldwide. According to the findings, all the participants agree that more should be done to improve maritime security and measures, but they are divided regarding International Maritime Organization (IMO) norms and standards. Certain areas face considerable problems in exchanging information, including data about security threats and the results of the analysis, in real-time, which is important for a timely reaction. Furthermore, measures like the “Ship Security Alarm System” (SSAS), “Automatic Identification System” (AIS) and “Vessel Traffic System” (VTS), although useful in effectiveness, are reduced by the differences in the development of facilities and training between regions thus, leading to inconsistency in the measure taken. The study concludes that a contextually adaptive approach to maritime security, one that considers regional capabilities and specific threat levels, is essential for improving global maritime safety. Rather than a one-size-fits-all solution, the research suggests region-specific adaptations to IMO standards and improved coordination between administrative, enforcement, and operational stakeholders. This work is useful for policymakers and maritime agencies trying to improve their security measures and creates a basis for subsequent academic research on regional and technological developments of maritime security.

Importance Of Health Safety And Child Protection In K12 Schools

2025-03-21T07:31:38-07:00

For providing students with a safe and secure learning environment, health and safety and child protection are essential elements. Safeguarding children's physical and emotional safety during their school days requires the implementation of several crucial procedures. Although child protection standards shield pupils from harm and neglect, health and safety procedures shield them from potential dangers like fire and infectious illnesses. Schools need to have procedures and regulations in place to avoid or tackle any threats concerning safety and well-being. This covers emergency preparation strategies, fire safety procedures, and infectious disease control. Therefore, the primary objective of this study is to analyse the importance of health safety and child protection in schools. Furthermore, more crucially, the study aims to examine the various causes and impacts of violence, bullying and harassment that students may experience in school on the children. It evaluates the significance of health and safety in schools and examines the significance of child protection in schools.

The investigation employed a quantitative research approach to accomplish this goal. Students, parents and guardians, educators, school administrators, educators, education policymakers, and community people have all contributed to the study by providing responses. The outcome of the study suggested that most of the students felt at ease, although there are still issues with abuse and harassment that need to be resolved. Parents believe that the way schools handle behavioural and mental health issues is adequate. Teachers adhere to safety protocols and are encouraged by the organisation. While both parents and children express satisfaction with some aspects of the school's facilities, they also express concerns about upkeep and hygienic conditions. The appropriate training instructors receive on child safety and protection laws has a good effect on them. Overall, the study emphasises how important it is to prioritise child protection and school safety and makes recommendations for additional research and action.
Keywords: Health and Wellbeing, Child Protection, Child Safety, Education Industry, Child Abuse, Child Harassment, prevention and policy
Note: The data for the above research topic collected from well-established private schools only.

Unlocking Potential: Exploring The Underutilization Of Foreign Trade Zones By US Importers For Cost-Saving Benefits

2025-03-21T07:29:16-07:00

FOREIGN TRADE ZONES

The Use Of Blockchain Technology (Non-Fungible Tokens And Smart Contracts) In A Supply Chain Environment - A Framework

2025-03-21T07:26:47-07:00

Global supply chains are increasingly complex, often struggling with limited transparency, insecure data sharing, and inefficient processes. In response to these challenges, this research develops two novel blockchain-based artifacts—ProductNFT and ContainerNFT—that assign unique digital identities to products and containers, enabling authenticated lifecycle tracking and automated, near-real-time container and warehouse logistics management. These artifacts address existing gaps by enabling product authentication, strengthening origin, and enhancing operational agility, capabilities not currently offered by traditional SCM and PLM frameworks.

Designed using Design Science Research (DSR) methodology and guided by Systems Theory, the work introduces two key artifacts: ProductNFT, which creates a secure, tamper-evident “digital twin” for each product, ensuring transparent lifecycle tracking and verifiable authenticity, and ContainerNFT, which employs smart contracts for automated container handling, improved inventory precision, and streamlined warehouse operations. Validated in a simulated multinational hydraulics production environment, these artifacts significantly improve inventory accuracy, expedite logistics coordination, and enhance quality control responsiveness.
Beyond achieving operational gains, this research delivers a structured framework to address critical scalability, interoperability, and data privacy challenges in blockchain-enabled supply chains. The study underscores how private or consortium blockchain networks can enable secure, efficient, and compliant operations, advancing transparency, risk management, and strategic innovation by explicitly engaging SCM and PLM stakeholders and aligning with their needs.
Overall, the findings underscore a strategic shift towards data-driven decision-making. By bridging the gap between blockchain’s theoretical promise and practical application, ProductNFT and ContainerNFT pave the way for more resilient, trusted, and future-ready supply chains and PLM systems, offering tangible benefits to industry practitioners and unlocking new opportunities for sustainable competitive advantage.
Keywords: Blockchain Technology, Supply Chain Management, Product Lifecycle Management, Digital Twins, Non-Fungible Tokens, Smart Contracts, Design Science Research, Systems Theory

Dimensions Of Academic Quality In Higher Education In Pakistan

2025-03-21T07:13:13-07:00

This study examines the multidimensional aspects of academic quality at Pakistan’s higher education institutions, particularly aiming at the significant roles played by faculty, academic resources, and accreditation. This research intends to get an integrated knowledge that influences national educational quality.
A quantitative research approach was used, which involved gathering data from faculty members through a survey tool. Utilizing such an approach made it possible to analyze the data gathered about the perceived quality of higher education institutions. The study applied the purposive sampling technique to draw a representative sample of institutions with diversity in size and types of academic disciplines. Data were evaluated using descriptive statistics and thematic analysis to explore patterns and relationships among the variables.
The findings indicate that to enhance academic quality, investment in faculty development programs, improvement of academic infrastructures, and simplification of the accreditation process must be made. Collaboration between higher education institutions and regulatory bodies will provide a single framework for ensuring quality in higher education.
This study impacts the existing body of literature by presenting empirical evidence regarding factors influencing academic quality in Pakistani higher education institutions. The findings may be useful for developing strategy-based approaches that focus on strengthening academic standards, improving student outcomes, and enhancing the reputation of Pakistani universities internationally.
Keywords: Academic quality, Higher education, Pakistan, Faculty, Academic resources, Accreditation, Quantitative research, Survey, Determinants, Policy implications.

Enhance Cultural Tourism Expectations of Personalized Travelers in Ho Chi Minh City, Vietnam

2025-03-21T07:10:30-07:00

Personalized travel allows you to put yourself first and take some time to relax and unwind, as well as venture out, explore, and do things you wouldn't normally do. The study's findings and lessons learned should help to effectively promote tourism and cultural events in Ho Chi Minh City, attracting more international travelers, especially those who love personalized travel. Furthermore, the thesis results can serve as a springboard for developing tourism in Ho Chi Minh City and Vietnam in general. Literature explores digital change, tourism experts, personalized travelers, cultural tourism, urban tourism, travel services, location management, and cultural tourism components, highlighting the impact of stakeholders and promoting Vietnamese culture. There is a shortage of standardized frameworks for assessing occupational skills standards in Vietnam's tourism sector, and limited options for personalized travel experiences in the existing literature. This study use convenience sampling for quantitative research, targeting readily available individuals, while purposive sampling is utilized for qualitative research, integrating both quantitative and qualitative methodologies for thorough data collection. The tourist industry is experiencing substantial transformations as a result of technology innovations and globalization. Cultural tourism professionals require proficiency in communication, interpersonal skills, and specialized knowledge. Enhancing legal frameworks and policies is essential for advancing equity and optimizing the sharing economy.This research explores Vietnam's personalized tourism market trends from 2020- 2027, focusing on Ho Chi Minh City and its potential advancement through technology applications. The study on cultural tourism in Ho Chi Minh City has limitations, including a small sample size, insufficient tourism expert participation, and insufficient data on diverse traveler perceptions, requiring further research.