Journal of Business and Management Studies
type: channel
description: The Journal of Business and Management Studies (ISSN: 2709-0876) is a double-blind peer-reviewed, open-access journal published by Al-Kindi Center for Research and Development. It covers the latest developments in the broad areas of business and management. The journal offers readers free access to all new research issues relevant to business and management. While the journal strives […] Read More.
publisher: Al-Kindi Center for Research and Development
language: en
publication name: Journal of Business and Management Studies
issn: 2709-0876
items: The Value-Based and Business Innovation Approach towards Sustainable Business Practices of Hotel Enterprises in the Philippines
items: AI-Driven Resilient Supply Chain Architectures: Machine Learning Frameworks for Risk Anticipation, Disruption Mitigation, and Adaptive Decision-Making
items: Inside the School Ecosystem: Examining the Relationship Between School Culture and Teachers’ Job Satisfaction Through Stoll and Fink’s Framework
items: Perceived Academic Self-Efficacy of Department Heads at Majmaah University and Its Relationship to Crisis Management Performance
items: Nation Branding through Tourism in Qatar: An Exploratory Review and Future Research Agenda
items: Impact of Digital Governance Initiatives on Citizen Participation in Institutional Processes: A Case Study of the Citizens App of Ghana Gov
items: From Static Canvas to Dynamic Flow: A Grounded Theory–Based Integration of Literary Evidence with Process-Oriented Business Models
items: Logistics Operations of Customs Brokerage Firms in Sta. Clara, Batangas: Basis for Business Strategy
items: A Proposed Financial Feasibility Plan in Managing Wastewater among Selected Mixed-Use Establishments in Mandaluyong City
items: Financial Transparency and Its Effect on Income Utilization and Infrastructure Development Towards the Design of a Policy Manual among State Universities and Colleges in Region II
items: Customer Expectations on Electric Vehicles in the USA Market: A Comprehensive Analysis of Shifting Preferences and Purchase Intentions
items: Accelerating the Transition: Ultra-Fast Charging Infrastructure and U.S. Global Competitiveness in Electric Mobility
items: Designing Human–AI Collaborative Decision Analytics Frameworks to Enhance Managerial Judgment and Organizational Performance
items: Synthesizing the Green Value Chain: A Systematic Review of Vetiver Bioengineering, Coastal Entrepreneurship, and Consumer Valuation in the U.S. Green Economy
items: Predictive analytics U.S. Global Marketing Competitiveness using AI
items: The Influence of Collaborative Procurement on Innovation and Competitive Advantage: Perspectives of Agriculture Stakeholders in Guyana
items: A Practical Positive Approach to Critical Thinking
items: Impact of Digital Transformation of Logistics and Supply Chain in the Automotive Manufacturing Industry
items: When Fairness Matters: The Moderating Role of Organizational Justice in Strengthening the Impact of HR Practices on Employee Resilience
items: Techno-Economic Analysis of Digital Tools in Financial and Risk Advisory Services
items: Machine Learning model for Enhancing Small Business Credit Risk Assessment and Economic Inclusion in the United State
items: Circular Economy Metrics: A Systematic Bibliometric Mapping
items: Leveraging Business Analytics to Enhance Supply Chain Resilience and Reduce Disruptions in Critical U.S. Industries
items: Opportunities and Challenges of Integrating Artificial Intelligence into Management Information Systems: Perspectives of King Khalid University Students
items: Emotional Intelligence Abilities and Work Engagement among Salespersons: A Conservation of Resources Theory Perspective from Germany’s Pharmaceutical Industry
items: The Use of Artificial Intelligence in Supporting Managerial Decision-Making: Perspectives of Management Information Systems Faculty Members in Saudi Universities
items: Building Usable Management Knowledge: A Framework of Bridging Mechanisms Between Research and Practice
items: A Data-Driven Approach to Enhancing Project Management Efficiency through Machine Learning and Predictive Modeling
items: Risk Analysis of Material Procurement in Oil and Gas EPC Projects in Sudan
items: Customer Behavior and Factors Influencing the Patronage of Thrift Banks in China

The Value-Based and Business Innovation Approach towards Sustainable Business Practices of Hotel Enterprises in the Philippines
type: item
description: This study aims to investigate the possibilities for transformation in the business practices of Philippine hotel firms via the integration of a value-based and model innovation approach leading to their sustainability. Considering the worldwide need for sustainable development, the hotel sector is essential to reducing its negative effects on the environment, promoting social responsibility, and maintaining its financial stability. It examined the viability and efficacy of implementing a thorough sustainability framework that considers the particular socioeconomic and environmental circumstances of the Philippines. This research is built on multiple regression with moderation analysis that will determine the level of effect between variables. A Likert scale type of questionnaire will be used to conduct the instrument and gather data from respondents from hotel enterprises. The intended model will be established through multiple regression with moderation analysis. A thorough understanding of the current sustainability situation in the Philippine hotel industry, insights into effective approaches to value-based and business model innovation, a roadmap for implementing sustainable business practices, and the role that firm profile plays as a mediator in the important relationships this study develops are just a few of the expected outcomes of this research. To determine if hotel firms in the Philippines are leaders in sustainable business practices, this research aims to support their long-term resilience and success by promoting a culture of innovation and responsibility. At least 410 respondents representing at least 100 hotel firms were surveyed in this study. Data was gathered using survey instrument from Hotel firms from 1 star to 5 stars. The value-based business model has been found to have an excellent extent in terms of value creation, value proposition, and value capture. Business model innovation measured through creation, extension, revision, and terminat…
subject: Research Article
  topic: section
subject: Value-Based Business, Business Model Innovation, Sustainable Business Practices, Firm Profile
  topic: keywords
creator: Mark Tadeo Lapid
creator: Emmanuel P. Paulino
creator: Ronald P. Romero
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by-nc/4.0
date: 2026-02-09
publication date: 2026-02-09
starting page: 01
ending page: 15
doi: 10.32996/jbms.2026.8.4.1

AI-Driven Resilient Supply Chain Architectures: Machine Learning Frameworks for Risk Anticipation, Disruption Mitigation, and Adaptive Decision-Making
type: item
description: Global supply chains face various disruptions related to demand volatility, geopolitical tensions, weather-related disruptions, and operational failures, making conventional rule-based and reactive resilience approaches inadequate for addressing these disruptions. Recent developments in artificial intelligence (AI) and machine learning (ML) offer promising opportunities for transforming supply chain resilience from conventional reactive approaches to proactive, adaptive, and learning-enabled decision-making systems. However, the prevailing literature primarily focuses on standalone AI-related activities without discussing the architectural aspects of integrating AI for end-to-end supply chain resilience under uncertainty. This study proposes a unified resilient supply chain architecture with the incorporation of machine learning technologies in the processes of anticipation, mitigation, and adaptive decision-making. The research methodology used in the study is the design science research approach, which resulted in the development of a multi-layered framework consisting of the data intelligence layer, the risk anticipation layer, the prescriptive decision and mitigation layer, and the adaptive learning feedback layer. The framework ensures the integration of various machine learning algorithms with supervised learning, unsupervised learning, and reinforcement learning techniques with various categories of supply chain risks. In order to test the theoretical robustness of the proposed architecture, a scenario-based evaluation approach is followed, and various disruption scenarios, which cover failures from the suppliers, disruptions in the logistics network, and demand disruptions, are analyzed. New evaluation criteria, which are classified under the term "resilience-oriented evaluation," are also proposed in the paper, which move beyond the traditional evaluation criteria of costs and services. This paper contributes to the literature in the fields of supply chain …
subject: Research Article
  topic: section
subject: Supply Chain Resilience, Machine Learning, Disruption Mitigation Frameworks, Intelligent Supply Chain Architectures
  topic: keywords
creator: Subba Rao Katragadda
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by-nc/4.0
date: 2026-02-09
publication date: 2026-02-09
starting page: 38
ending page: 50
doi: 10.32996/jbms.2026.8.3.4

Inside the School Ecosystem: Examining the Relationship Between School Culture and Teachers’ Job Satisfaction Through Stoll and Fink’s Framework
type: item
description: This research investigated how school culture influences teachers’ job satisfaction across 19 secondary schools within the DepEd Schools Division of Siquijor. Anchored in Stoll and Fink’s School Culture Framework and Herzberg’s Two-Factor Theory, the study explored the impact of various school culture types namely Moving, Cruising, Strolling, Struggling, and Sinking on teachers’ levels of job satisfaction. The findings underscore the critical role of school culture in shaping key organizational outcomes within the educational setting. The primary goal of this study was to assess the extent to which different cultural environments affect teachers’ overall job satisfaction. A descriptive correlational design was utilized, drawing data from teachers through a school culture assessment tool and a modified job satisfaction survey. Descriptive and inferential statistics were used to analyze the data. Results show that Moving Culture stood out with a strong positive correlation to teachers’ job satisfaction. In contrast, Cruising Culture, Strolling Culture, and Struggling Culture all showed non-significant negative correlations. Finally, Sinking Culture shows the strongest negative correlation with teachers’ job satisfaction. These findings highlight the importance of school culture in cultivating supportive and motivating work environments for teachers. The study recommends targeted interventions concerning culture enhancement strategies for schools exhibiting less desirable cultural characteristics to elevate teacher morale and institutional performance.
subject: Research Article
  topic: section
subject: school culture, teachers’ job satisfaction, DepEd
  topic: keywords
creator: Christian Duran
creator: Porferio J. Barlas Jr.
rights: Copyright (c) 2026 Journal of Business and Management Studies https://creativecommons.org/licenses/by-nc/4.0
date: 2026-02-04
publication date: 2026-02-04
starting page: 20
ending page: 37
doi: 10.32996/jbms.2026.8.3.3

Perceived Academic Self-Efficacy of Department Heads at Majmaah University and Its Relationship to Crisis Management Performance
type: item
description: This study aimed to examine the degree to which department heads at Majmaah University practice perceived academic self-efficacy and to explore its relationship with the development of their performance in crisis management. The study adopted a descriptive survey design and was conducted on a sample of 30 department heads. To achieve the study objectives, the Perceived Academic Self-Efficacy Scale was administered after establishing its psychometric properties in terms of validity and reliability. The results indicated that the level of perceived academic self-efficacy among department heads was high, as was their level of performance in crisis management. The findings also revealed no statistically significant differences in perceived academic self-efficacy attributable to gender, while statistically significant differences were found according to years of experience. Furthermore, the results demonstrated a strong, positive, and statistically significant correlation between perceived academic self-efficacy and crisis management performance. In addition, perceived academic self-efficacy was found to be predictable based on crisis management performance, with an explanatory power of 45%. In light of these findings, the study recommends greater attention to professional development programs aimed at enhancing the perceived academic self-efficacy of department heads, with particular emphasis on integrating crisis management skills into such programs. Moreover, perceived academic self-efficacy may serve as a valuable indicator for predicting the capacity of academic leaders to effectively confront and manage crises.
subject: Research Article
  topic: section
subject: Perceived academic self-efficacy, crisis management, department heads, academic leadership, higher education, professional development
  topic: keywords
creator: Alanoud Ridn Almutairi
creator: Tawfiq Saleh Almodiheem
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by-nc/4.0
date: 2026-01-25
publication date: 2026-01-25
starting page: 59
ending page: 70
doi: 10.32996/jbms.2026.8.2.4

Nation Branding through Tourism in Qatar: An Exploratory Review and Future Research Agenda
type: item
description: As countries compete for tourism, investment, and global recognition, nation branding has become an important topic for researchers and decision-makers. Tourism is a visible and significant part of nation branding, shaping how international audiences view a country. This study explores how tourism fits into Qatar’s nation-branding strategy, with a focus on institutional collaboration and ongoing tourism projects rather than short-term events such as mega sporting events. This study uses a review-based exploratory method, drawing on academic research, policy papers, official tourism websites, and user-generated travel content. It describes and maps the main tourism initiatives and organisations involved in branding Qatar as a destination. The analysis looks at the roles of Qatar Tourism, Visit Qatar, Discover Qatar, and Qatar Airways, and how they promote tourism and shape experiences for international audiences. The study also reviews independent travel vlogs from 2025 to show how international visitors experience and present Qatar. This study does not aim to measure branding effectiveness or test theories. Instead, it provides an initial overview of tourism-led nation branding in Qatar and identifies areas that require further research. By explaining current practices and examples, the paper sets the stage for future research on tourism-driven nation branding in Qatar and the Gulf Cooperation Council region.
subject: Research Article
  topic: section
subject: Nation Branding, Tourism Governance, Tourism Promotion, Qatar, Gulf Cooperation Council (GCC)
  topic: keywords
creator: Mohammed A. S. Ibrahim
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by-nc/4.0
date: 2026-01-22
publication date: 2026-01-22
starting page: 52
ending page: 57
doi: 10.32996/jbms.2026.8.2.3

Impact of Digital Governance Initiatives on Citizen Participation in Institutional Processes: A Case Study of the Citizens App of Ghana Gov
type: item
description: Digital governance is changing the dynamics between citizens and their governments. Initiatives in digital governance, like Ghana’s Citizens App, strive to boost citizen involvement and enhance the delivery of public services. This research evaluates the influence of the Ghana Gov Citizens App on citizen participation and service efficiency, utilising a cross-sectional survey method with 310 valid responses collected from the Greater Accra Region. The study applies the Technology Acceptance Model (TAM) to analyse accessibility, engagement, and perceived effectiveness. Key results indicate that 55.16% of participants have downloaded the app, with higher rates of adoption among males (51.90%) and users in the middle age group (50.00% for those aged 25–34). Educational levels also affected usage, as users with secondary education (56.9%) and Master’s degree holders (61.7%) demonstrated greater engagement. The app's ease of downloading showed a strong correlation with the frequency of use (r = 0.433, p < 0.01) and satisfaction with its features (r = 0.576, p < 0.01). Nonetheless, trust in the app was closely linked to perceptions of efficiency (r = 0.929, p < 0.01), emphasizing the significance of dependable performance. Participants rated the app as being more efficient than traditional approaches (mean = 1.6 on a 5-point scale) and noted that they could complete transactions without needing to visit in person (mean = 3.04). In spite of these improvements, the moderate satisfaction ratings (mean = 2.35) suggest that there is still room for enhancement in terms of responsiveness and usability. The research concludes that, although the Citizens App has made notable progress in Ghana’s digital governance, issues such as the digital divide, concerns about data privacy, and inconsistent service quality still exist. Recommendations include focused outreach to marginalized groups, optimizing backend processes, and increasing transparency to build trust. These findings highlig…
subject: Research Article
  topic: section
subject: Digital governance, citizen participation, Ghana Gov Citizens App, Technology Acceptance Model, Public service delivery
  topic: keywords
creator: Racheal Amoah
creator: Peter Agyekum-Boateng
creator: Fredrick Amakye
creator: Evans Ocansey
rights: Copyright (c) 2026 Journal of Business and Management Studies https://creativecommons.org/licenses/by-nc/4.0
date: 2026-02-04
publication date: 2026-02-04
starting page: 10
ending page: 19
doi: 10.32996/jbms.2026.8.3.2

From Static Canvas to Dynamic Flow: A Grounded Theory–Based Integration of Literary Evidence with Process-Oriented Business Models
type: item
description: Business model research over the past two decades has generated a fragmented landscape of component-based taxonomies. While these taxonomies document static structural elements of business models, including value creation, customer segments, key resources, revenue streams, and partner ecosystems, the dynamic interaction between components remains conceptually underdetermined. This article pursues a Grounded Theory-based literature analysis through selective coding to identify a core category—Flow—that relationally integrates all previously identified components. The analysis examined 927 publications and six thematic research clusters, demonstrating that business models are implicitly operationalized as processes yet visually represented as static boxes. The resulting Business Model Flow Chart is presented not as a conceptual innovation but as a deliberate explication of latent logics present in existing literature. The article accomplishes a methodically grounded synthesis of two separate literature analyses through selective coding and establishes foundations for subsequent empirical validation.
subject: Research Article
  topic: section
subject: Grounded Theory
  topic: keywords
subject: Business Model
  topic: keywords
subject: Core Category
  topic: keywords
subject: Process Coding
  topic: keywords
subject: Business Model Innovation
  topic: keywords
subject: Flow Chart
  topic: keywords
creator: Michael Schuricht
rights: Copyright (c) 2026 Journal of Business and Management Studies https://creativecommons.org/licenses/by-nc/4.0
date: 2026-02-04
publication date: 2026-02-04
starting page: 01
ending page: 09
doi: 10.32996/jbms.2026.8.3.1

Logistics Operations of Customs Brokerage Firms in Sta. Clara, Batangas: Basis for Business Strategy
type: item
description: This study examined the logistics operations of Customs Brokerage Firms in Brgy. Sta. Clara to check the efficiency and service quality from the perspectives of Customs Brokerage Employees and Customs Brokerage Clients. The study employed a quantitative research design to analyze the ServQual dimensions such as Reliability, Responsiveness, Assurance, Empathy and the Delivery of Service factors such as Service Quality, Timeliness and Cost of Service from the Customs Brokerage employees and clients. Results revealed that most people rated operations as “Very Efficient” to “Excellent” with Assurance and Reliability earning the highest scores and it shows that the company has good compliance practices and technical skills. The results from ANOVA revealed that there were no significant differences in the perceptions of employees and clients when grouped according to their respective profiles, implying consistent service performance across respondent categories. Overall, the findings demonstrated that customs brokerage firms in Sta. Clara, Batangas operated effectively and maintained satisfactory logistics performance. The study concluded that further enhancements in digitalization, communication systems, and continuous skills development are necessary to strengthen competitiveness and sustain client satisfaction. Based on these findings, the study recommended the adoption of technology-enabled solutions, structured training programs, and process optimization strategies as a basis for improving logistics operations and supporting long-term business growth.
subject: Research Article
  topic: section
subject: Customs Brokerage, Logistics Operations, SERVQUAL, Client Satisfaction, Business Strategy
  topic: keywords
creator: SARRAH JANE S. JACINTO
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by-nc/4.0
date: 2026-01-15
publication date: 2026-01-15
starting page: 16
ending page: 51
doi: 10.32996/jbms.2026.8.2.2

A Proposed Financial Feasibility Plan in Managing Wastewater among Selected Mixed-Use Establishments in Mandaluyong City
type: item
description: This study evaluated the effectiveness of wastewater management practices among selected mixed-use establishments in Barangay Wack Wack, Mandaluyong City, as a basis for proposing a financial feasibility plan. The research aimed to assess existing wastewater generation characteristics, treatment and maintenance practices, and the level of adoption of sustainable wastewater management measures. It also examined whether differences existed in wastewater management practices when establishments were grouped according to business or household size, type of operation, and water usage patterns.A descriptive-quantitative research design was employed. Data were gathered through survey questionnaires administered to residents and employees of selected establishments, supported by document review and basic financial analysis. Statistical tools were used to determine significant differences in wastewater management practices across establishment profiles. Financial feasibility indicators were applied to evaluate the practicality of implementing wastewater system improvements. The results showed that most establishments had existing wastewater treatment systems in place; however, gaps were identified in preventive maintenance, stakeholder awareness, and the consistent application of sustainable practices. Large commercial and large residential establishments demonstrated stronger capacity to support wastewater system improvements, while small and medium-sized establishments showed financial and operational constraints. Statistical analysis indicated no significant differences in wastewater management practices across most establishment profile variables, suggesting generally similar levels of implementation regardless of size or type of operation. Based on the findings, a proposed financial feasibility plan was developed to guide establishments in improving wastewater management practices. The plan integrates regulatory compliance, operational efficiency, financial sustainabili…
subject: Research Article
  topic: section
subject:
  topic: keywords
  value: Wastewater management; wastewater practices; sustainable development; water quality; regulatory framework; community involvement; financial feasibility; mixed-use establishments; sewage treatment systems; environmental sustainability
creator: Malonzo, Chloie Anthony
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by-nc/4.0
date: 2026-01-13
publication date: 2026-01-13
starting page: 60
ending page: 105
doi: 10.32996/jbms.2026.8.1.4

Financial Transparency and Its Effect on Income Utilization and Infrastructure Development Towards the Design of a Policy Manual among State Universities and Colleges in Region II
type: item
description: This study explored the effect of financial transparency on income utilization and infrastructure development among State Universities and Colleges (SUCs) in Region II with the aim of enhancing financial policy and governance mechanisms. Applying a mixed method design using criterion sampling approach, quantitative data were collected through structured survey administered to 111 respondents while qualitative data were gathered from open-ended survey responses, and documentary analysis of Budget and Financial Accountability Reports (BFARs) further substantiated the findings. Descriptive results reveal that financial transparency was rated very high indicating strong compliance and accountability, and income utilization was perceived as very efficient. Nonetheless, though infrastructure development was assessed as very developed, documentary verification disclosed limited budget allocation and moderate to low utilization and disbursement rates portraying implementation delays and sustainability concerns. Multiple linear regression results further reveal that financial transparency significantly affected income utilization but did not predict infrastructure development. This implies that infrastructure outcomes rely more on budget prioritization, procurement efficiency, absorptive capacity, and long-term capital investment planning, rather than transparency alone. Moreover, qualitative insights stressed the need for need-based allocation, strengthened monitoring and evaluation, continuous capacity development, and stricter compliance with financial policies. And it further concludes that transparency reinforces income utilization.
subject: Research Article
  topic: section
subject: Financial Transparency, Income Utilization, Infrastructure Development, State Universities and Colleges.
  topic: keywords
creator: John Almar Cureg
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by-nc/4.0
date: 2026-01-09
publication date: 2026-01-09
starting page: 28
ending page: 69
doi: 10.32996/jbms.2026.8.1.3

Customer Expectations on Electric Vehicles in the USA Market: A Comprehensive Analysis of Shifting Preferences and Purchase Intentions
type: item
description: As the electric vehicle (EV) sector in the United States undergoes extraordinary expansion, comprehending customer expectations has become essential for manufacturers, politicians, and marketers. This study investigates the present state of customer expectations about electric vehicles in the U.S. market, analyzing primary factors influencing purchase intention, perceived obstacles, and shifting preferences. A thorough look at existing data and polls of consumers shows that range anxiety, charging infrastructure, and pricing are still the key concerns. On the other hand, environmental awareness and cheaper operating expenses are what drive adoption. Our research shows that there is a big difference in how different generations feel about buying electric vehicles. Younger people are more likely to want to buy one, even though they are worried about how much it would cost. This study offers practical recommendations for stakeholders aiming to expedite electric vehicle adoption in North America.
subject: Research Article
  topic: section
subject: electric vehicles, consumer expectations, purchase intention, sustainable transportation, market adoption
  topic: keywords
creator: Adil Shah
creator: Tasfia Tarannum
creator: Abdullah Al Mahmood
creator: Shanzida Kabir
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by-nc/4.0
date: 2026-01-08
publication date: 2026-01-08
starting page: 20
ending page: 27
doi: 10.32996/jbms.2026.8.1.2

Accelerating the Transition: Ultra-Fast Charging Infrastructure and U.S. Global Competitiveness in Electric Mobility
type: item
description: The global electric car revolution has reached a point where charging infrastructure, especially ultra-fast charging capacities above 350 kW, is the most important factor in determining which country is the best place to buy an electric car. This comprehensive study examines the current state of ultra-fast charging infrastructure deployment in major global markets, emphasizing a comparative analysis among the US, China, and Europe. This study's quantitative analysis of infrastructure deployment rates, market dynamics, and technological advancement trajectories shows that the United States is eight times slower than China and less densely populated and more evenly distributed than Europe, even though the federal government has invested $7.5 billion through the Infrastructure Investment and Jobs Act. As of December 2024, China has set up more than 3.2 million public charging stations, including 1.78 million DC fast chargers. In contrast, the US has only about 204,000 public chargers, and only 51,000 of those are DC fast chargers. This study demonstrates a direct correlation among EV adoption rates, economic competitiveness, technical sovereignty, and ultra-fast charging infrastructure. The results show that quickly building 350 kW+ ultra-fast charging networks is not only a challenge for the infrastructure, but also a strategic necessity for the U.S. to stay competitive in the global economy. This study offers empirical evidence underscoring the critical necessity for synchronized federal-state infrastructure enhancement, standardization protocols, and public-private collaborations to achieve competitive equivalence for the U.S. in the burgeoning electric mobility sector, anticipated to attain $257 billion by 2032.
subject: Research Article
  topic: section
subject: Ultra-fast charging, electric vehicle infrastructure, national competitiveness, 350kW charging systems, DC fast charging, electric mobility, infrastructure deployment, energy policy
  topic: keywords
creator: Adil Shah
creator: Abdullah Al Mahmood
creator: Shanzida Kabir
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-20
publication date: 2025-12-20
starting page: 51
ending page: 61
doi: 10.32996/jbms.2025.7.10.6

Designing Human–AI Collaborative Decision Analytics Frameworks to Enhance Managerial Judgment and Organizational Performance
type: item
description: The fast spread of artificial intelligence (AI) in the United States organizations has radically altered the managerial decision-making process, but on the other hand, it has augmented the complexity and uncertainty in decision, and the accountability stresses. Despite the high-level predictive and prescriptive potentials of AI-based analytics, most organizations have difficulties converting algorithmic results into sustainable managerial decisions. Low levels of trust, lack of explanation, and poor integration between AI systems and human judgment have been caused by over reliance on automation, weak explain ability, and poor organizational outcomes. Current literature has majorly focused on automation-based views of decision support, with a severe lack of insight into the coordinated manner in which human experience and AI intelligence can be systematically integrated with the assistance of analytics. This paper fills this gap by outlining a Human-AI Collaborative Decision Analytics Framework that could be beneficial to improve managerial decisions and organizational performance. Following a conceptual research design, the study integrates interdisciplinary literature in the field of managerial decision-making theory, business analytics, and governance of AI in its attempt to establish an integrative framework where analytics becomes the focal interpretive intercession between AI outputs and human decision-makers. The framework has five overlapping layers such as data, AI analytics, business analytics interpretation, human judgment, and feedback learning that combine to facilitate transparency, accountability, and contextual decision-making. The framework is depicted in the most important areas of the organization with the main focus on the strategic management and workforce decision-making and the secondary focus on the finance, operations, and marketing. The framework minimizes the effects of the algorithmic bias, automation bias, and enhances workforce confiden…
subject: Research Article
  topic: section
subject: Human–AI Collaboration, Decision Analytics, Managerial Judgment, Business Analytics, Responsible Artificial Intelligence and Organizational Performance
  topic: keywords
creator: Jannatul Ferdousi
creator: Md Shokran
creator: Md Saiful Islam
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by-nc/4.0
date: 2026-01-06
publication date: 2026-01-06
starting page: 01
ending page: 19
doi: 10.32996/jbms.2026.8.1.1

Synthesizing the Green Value Chain: A Systematic Review of Vetiver Bioengineering, Coastal Entrepreneurship, and Consumer Valuation in the U.S. Green Economy
type: item
description: The accelerating trajectory of climate change, characterized by rising sea levels, intensifying precipitation events, and coastal erosion, has exposed the critical vulnerabilities of traditional "gray" infrastructure in the United States. While the paradigm shift toward Nature-Based Solutions (NbS) offers a promising pathway for resilience, the commercial and operational integration of these technologies remains fragmented. This research paper presents an exhaustive systematic review of the "Green Value Chain" a conceptual framework linking the biotechnical engineering performance of the Vetiver System (VS), the emerging business models of coastal entrepreneurship, and the socio-economic dynamics of consumer valuation. Focusing specifically on the sterile, non-invasive 'Sunshine' genotype of Chrysopogon zizanioides, the analysis synthesizes geotechnical data confirming Vetiver’s capacity to increase soil shear strength by 30–40% and stabilize slopes in high-plasticity clays. Economically, the review establishes that while green infrastructure often entails higher initial stewardship costs compared to the "build-and-forget" model of gray infrastructure, it delivers superior benefit-cost ratios over decadal lifecycles through avoided capital replacement and ecosystem service generation. However, the market penetration of Vetiver bioengineering is severely constrained by "aesthetic friction"—a deep-seated consumer preference for manicured landscapes and hardened shorelines, driven by social norms and risk misperceptions. By integrating findings from U.S. Army Corps of Engineers studies, coastal homeowner surveys, and bioengineering field trials, this paper proposes a "Nurse Crop Succession" framework. This model positions Vetiver not as a climax monoculture but as a temporary biological scaffold that facilitates the establishment of native dune and riparian ecosystems, thereby reconciling immediate engineering requirements with long-term ecological restoration goals. T…
subject: Research Article
  topic: section
subject: Vetiver System
  topic: keywords
subject: Green Value Chain
  topic: keywords
subject: Bioengineering
  topic: keywords
subject: Coastal Entrepreneurship
  topic: keywords
subject: Nature-Based Solutions
  topic: keywords
subject: Soil Stabilization
  topic: keywords
subject: Consumer Valuation
  topic: keywords
subject: Resilience Economics
  topic: keywords
subject: Aesthetic Friction
  topic: keywords
subject: Nurse Crop Succession
  topic: keywords
subject: Consumer Valuation
  topic: keywords
subject: Entrepreneurship
  topic: keywords
creator: Md Raihanul Islam
creator: Bart Weathington
creator: Morgan Bryant
rights: Copyright (c) 2026 Journal of Business and Management Studies https://creativecommons.org/licenses/by-nc/4.0
date: 2026-01-13
publication date: 2026-01-13
starting page: 01
ending page: 15
doi: 10.32996/jbms.2026.8.2.1

Predictive analytics U.S. Global Marketing Competitiveness using AI
type: item
description: The competitiveness in global marketing is gradually being driven by the use of data-driven decisions and the capability of businesses to foresee the consumer needs in dynamic market conditions. The United States is well-established in the global trade and marketing segment, but there are leading-edge applications of artificial intelligence (AI) and predictive analytics emerging around the globe, and which require more facilitation of digital transformation in order to maintain and augment this leadership. What this study aims to explore is how predictive analytics using AI can help the U.S. become more competitive in the global market, by considering consumer purchasing behavior and decision-making patterns in relation to marketing. Based on the available dataset related to consumer behavior and shopping habits, obtained on Kaggle, the research examines the demographic factors, how often people buy a product, the type of product, seasonal patterns, sensitivity to discounts, and satisfaction with the review to determine the main marketing drivers. Classification models and clustering are used as machine learning methods to forecast consumer-related outcomes like the high-value spending behavior and the likelihood of loyalty. Categorical encoding, normalization, and the exploratory analysis are the steps of data preprocessing that guarantee the model accuracy and generalization. The results show that pricing, promotional involvement, and product type preferences play a major role in determining purchasing decisions and age and frequency of shopping are good predictors of high value customer segments. The information based on the segmentation of consumers and predictive patterns shows that marketing activities in the U.S. can be enhanced by focusing on localized customer requirements, better personalized marketing of products, and product positioning strategies. The paper finds that the adaptation of predictive analytics allows American companies to become more compet…
subject: Research Article
  topic: section
subject: Predictive Analytics, Artificial Intelligence (AI), Consumer Behavior, Global Marketing Competitiveness, Machine Learning and U.S. Market Strategy
  topic: keywords
creator: Athiya Anwer
creator: Kaberi Maitraya
creator: Samira Alam Chowdhury
creator: Md Saiful Islam
rights: Copyright (c) 2024 https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by-nc/4.0
date: 2024-07-11
publication date: 2024-07-11
starting page: 321
ending page: 342
doi: 10.32996/jbms.2024.6.4.23

The Influence of Collaborative Procurement on Innovation and Competitive Advantage: Perspectives of Agriculture Stakeholders in Guyana
type: item
description: This research project investigated the perceptions of Agriculture stakeholders on the influence of Collaborative Procurement on Innovation and Competitive Advantage. The advancement of technology leads to rapid innovation, and increased competitiveness. This has resulted in agricultural organizations facing greater competition from local, regional and international markets. The agricultural sector in Guyana is plagued with ineffective procurement practices that resulted from fragmented sourcing strategies, inconsistent supplier partnerships, and lack of available low-cost procurement approaches. This study aims to provide practical tools based on best practices that Guyanese agriculture enterprises can use to improve their collaborative procurement practices in a more efficient manner, resulting in more strategic supplier relationships and more long-term sustainability. This study employed a Qualitative Approach with a Case Study Design. A Digital Structured Interview Schedule was the research tool that was utilized to gain insights from Agriculture stakeholders from eight different agriculture organizations. The participants included procurement officers and suppliers. Findings revealed that some organizations were already engaged in collaborative procurement; some organizations were at the initial stage of the implementation of collaborative procurement while two organizations were not in a state of readiness and had not considered collaborative procurement. Collaborative procurement influences innovation and competitive advantages by aligning technological advancements through networking, adaptation to change, increased organizational recognition and profit generation. The enabling factors to collaborative procurement and its influence on innovation and competitive advantage are; collaborating with organizations that are actively engaged in collaborative procurement, leveraging the purchasing power of organizations, provision of high-quality goods and services an…
subject: Research Article
  topic: section
subject: Collaborative Procurement, Competitive Advantage, Innovation
  topic: keywords
creator: Umadevi Narain
creator: Lydia Narain
creator: Amarnauth Narain
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-15
publication date: 2025-12-15
starting page: 41
ending page: 50
doi: 10.32996/jbms.2025.7.10.5

A Practical Positive Approach to Critical Thinking
type: item
description: This article focuses on helping business majors understand critical thinking skills linked to negative thinking such as psychological context, Imposter Experiences. It begins with discussing a business communication course within the scope of theoretical frameworks linked to critical thinking skills and Imposter Experiences. The next section reports findings from how cross-disciplinary units in business departments collaborations were beneficial to students as they prepare for professional life. The final section discusses how learner-centered interactions can help business majors recognize and use practical critical thinking skills to circumvent negative thinking, i.e., Imposter Experiences they might encounter in both settings (academic and workplace).
subject: Research Article
  topic: section
subject: Business Communication, Collaborations, Critical Thinking, Imposter Experiences, Learner-Centered Interactions, Workplace Readiness
  topic: keywords
creator: Chynette Nealy
rights: Copyright (c) 2025 Journal of Business and Management Studies https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-15
publication date: 2025-12-15
starting page: 35
ending page: 40
doi: 10.32996/jbms.2025.7.10.4

Impact of Digital Transformation of Logistics and Supply Chain in the Automotive Manufacturing Industry
type: item
description: With the continuous promotion of digital transformation of logistics and supply chain in the automotive manufacturing industry, the demand for new technologies is increasing day by day. This article empirically analyzes the impact of digital transformation of logistics and supply chain in the automotive manufacturing industry on the adoption of blockchain technology, based on research data from domestic automakers and third-party automotive logistics companies. The research results found that the digital transformation of logistics and supply chain in the automotive manufacturing industry has promoted employees' adoption of blockchain technology as a whole. The impact of digital transformation of logistics and supply chain in the automotive manufacturing industry on the adoption of blockchain technology varies in different application scenarios. The research results will help promote the innovative application of blockchain technology in the digital transformation of logistics and supply chain in the automotive manufacturing industry, providing new paths and opportunities for industrial upgrading and transformation.
subject: Research Article
  topic: section
subject: Automobile manufacturing industry, logistics and supply chain management, digital transformation, blockchain technology
  topic: keywords
creator: Ahmed Atta Elhussein Ali
creator: Zhang Xinli
creator: Mohammad Mesba Ul Hoque
creator: Mohammed ALmaghrebi
creator: S M Nasiful Amin
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-06
publication date: 2025-12-06
starting page: 26
ending page: 34
doi: 10.32996/jbms.2025.7.10.3

When Fairness Matters: The Moderating Role of Organizational Justice in Strengthening the Impact of HR Practices on Employee Resilience
type: item
description: This study investigates how Human Resource Practices (HRP) influence Employee Resilience (ER) in the Business Process Outsourcing (BPO) industry, highlighting the moderating role of Organizational Justice (OJ). A quantitative design was employed using a survey of 523 BPO employees in the National Capital Region. Data were analyzed through Structural Equation Modeling (SEM) and Moderation Analysis to determine the direct and interaction effects. Results show that HRP significantly promotes ER, and this relationship becomes stronger when employees perceive fairness in organizational processes. The findings underscore the critical role of integrating fair and transparent HR systems to improve workforce resilience in high-pressure service environments, offering practical value for HR leaders aiming to sustain employee well-being and organizational performance.
subject: Research Article
  topic: section
subject: Human Resource Practices, Employee Resilience, Organizational Justice, Business Process Outsourcing (BPO) Industry
  topic: keywords
creator: Reynaldo J. Villegas
creator: Ronald P. Romero
creator: Emmanuel P. Paulino
creator: Karina Clara C. Romero
creator: Paulo Noel A. Mazo
creator: Carlwin S. Mozar
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-03
publication date: 2025-12-03
starting page: 29
ending page: 36
doi: 10.32996/jbms.2025.7.9.3

Techno-Economic Analysis of Digital Tools in Financial and Risk Advisory Services
type: item
description: The digital transformation of financial services has greatly revolutionized the way financial institutions evaluate, deal and counsel risk. With the process of financial advice and risk of credit assessment becoming more and more intertwined with the use of sophisticated analysis technologies, there is an ever-increasing necessity to comprehend the technological efficiency, as well as the economic proliferation, of these digital instruments. This study has provided a techno-economic analysis of machine-learning-based decision-support systems on the Credit Risk Loan Eligibility dataset. The experiment assesses the effectiveness of digital analytical applications using logistic regression, random forests, gradient boosting, and AutoML pipelines to improve the accuracy, speed, and consistency of assessing credit risk relative to traditional advisory processes. Technologically, this study investigates the accuracy of models, AUC-ROC, and dynamics of precision-recall, and feature contribution of risk prediction. On the economic front, the paper measures the economic consequences of better predictive performance by determining expected loss (EL), cost of misclassification, profit/loss-curves and decision thresholds that maximize the lending results. This study shows that digital tools contribute to the reduction of the losses associated with defaults, the enhancement of the quality of loan portfolios, and allow advisors to make more efficient and consistent decisions by connecting the model performance to the quantifiable financial gains. The results also indicate that the implementation of digital tools in the advisory processes not only improves risk prevention but also increases operational efficiency through the automation of redundant activities, minimization of human biases, and standardization of evaluation processes. To ensure that financial institutions evaluate their digital-tool investment based on the long-term economic benefits and ease of implementation, a t…
subject: Research Article
  topic: section
subject: Digital Financial Tools, Techno-Economic Analysis, Credit Risk Assessment, Machine Learning Models, Financial advising service and Optimization of Economic Value
  topic: keywords
creator: Tanvir Rahman Akash
creator: Abdul Azeem Mohammed
rights: Copyright (c) 2019 https://creativecommons.org/licenses/by-nc/4.0
date: 2019-12-28
publication date: 2019-12-28
starting page: 17
ending page: 37
doi: 10.32996/jbms.2019.1.1.6

Machine Learning model for Enhancing Small Business Credit Risk Assessment and Economic Inclusion in the United State
type: item
description: The lack of accessible credit is a constitutive constraint on small businesses in the US. This paper proposes, evaluates, and establishes an interpretable, bias-conscious machine learning approach for small business credit risk assessment. Based on anonymized application, repayment, and organizational operational data, we compare gradient boost, regularized generalized linear models, and tree-based learning to industry-leading scorecards, leveraging monotonic constraints, fairness-conscious weight adjustments, and a SHAP explanation layer. The research hypothesis is to validate whether machine learning systems can strengthen default AUC/KS performance while decreasing disparities in group error rates, along with increasing approval rates at equal risk. Some uplift assessment measures incremental safe approvals, as well as expected loss subject to constrained decision rules. For more comprehensive implementation, the research includes model cards, feature management, WOE/IV, feature stability, as well as champion-champion comparisons. The findings of this research confirm the hypothesis, suggesting interpretable machine learning can achieve higher levels of risk differentiation (∅AUC > X), significantly close error gaps (∅gap > Y%), and achieve inclusivity gains at equal portfolio loss. The research aims to contribute a reproducible workflow, a set of metrics, as well as evidentiary validation of the applicability of transparent machine learning in credit markets.
subject: Research Article
  topic: section
subject: Small-business credit; Explainable AI; Fairness; Risk modeling; Financial inclusion; Interpretable ML; Model governance; SBA; ECOA/FCRA compliance
  topic: keywords
creator: Md Mainul Islam
creator: Shaid Hasan
creator: Khandakar Ataur Rahman
creator: Ismoth Zerine
creator: Adib Hossain
creator: Zulkernain Doha
rights: Copyright (c) 2024 https://creativecommons.org/licenses/by-nc/4.0
date: 2024-12-26
publication date: 2024-12-26
starting page: 377
ending page: 385
doi: 10.32996/jbms.2024.6.6.21

Circular Economy Metrics: A Systematic Bibliometric Mapping
type: item
description: The circular economy has emerged as a key concept for sustainable development, yet measurement frameworks remain inconsistent. In this bibliometric mapping, we conducted an analysis of 701 publications from Web of Science and Scopus to identify current models for evaluating circularity. Results show a concentration of research in China and Europe, with eleven thematic clusters emerging: waste management, resource efficiency, and lifecycle assessment, among others. Despite increasing attention, significant gaps remain in standardized metrics and comprehensive evaluation tools. This review highlights the need for unified methodologies to effectively assess circular economic performance across sectors and geographies.
subject: Research Article
  topic: section
subject: Benchmarking, Bibliometric analysis, Circular economy, Measurement framework, PRISMA 2020
  topic: keywords
creator: Stepan Franc
creator: Petra Holendova
rights: Copyright (c) 2025 Journal of Business and Management Studies https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-06
publication date: 2025-12-06
starting page: 14
ending page: 25
doi: 10.32996/jbms.2025.7.10.2

Leveraging Business Analytics to Enhance Supply Chain Resilience and Reduce Disruptions in Critical U.S. Industries
type: item
description: The growing complexity of world supply chains, alongside the growing demand instability and uncertainty in operations has intensified the necessity to use data-driven solutions that help to build resilience and minimize disruptions in critical sectors. The study analyses the potential of using business analytics to enhance supply chain resilience in America by basing on the DataCo Smart Supply Chain Dataset as the empirical evidence. The data, which is over 180,000 records at the transaction level, offers detailed information about logistics operation, consumer behavior, the use of payment modes, product categories and delivery performance. This type of multidimensional information provides a one of a kind chance to observe the correlation between delivery delays, operational risks, the change in demand, and frauds. The predictive modeling, clustering methods, and statistical analysis methods have been used to determine the important factors leading to supply chain fragility in the study. In particular, the demand forecasting, risk classification of late-delivery, and fraudulent orders are predicted with the help of machine learning models like Gradient Boosting, Random Forest, Logistic Regression, and LightGBM. These models allow finding the patterns that can be overlooked by traditional means of analysis, such as the correlation between the geographic distribution of the customers, the channel of payment, and the shipping delays. Moreover, clustering algorithms like K-Means and DBSCAN can give more information regarding a behavioral pattern of fraud and the inconsistencies of its operations. This study includes explainability tools, such as LIME and FairML, which makes the behavior of models more transparent such that predictive insights can be interpreted and made operationally feasible. The findings indicate that the key variables of critical concern include shipping mode, type of transaction, demand cycle seasonality and customer location that contribute greatl…
subject: Research Article
  topic: section
subject: Supply Chain Resilience, Business Analytics, Machine Learning Models, Demand Forecasting, Fraud Detection and Operational Risk Management
  topic: keywords
creator: Mohammad Ali
creator: Md Shahdat Hossain
creator: Md Whahidur Rahman
creator: MD SHAHADAT HOSSAIN
rights: Copyright (c) 2022 https://creativecommons.org/licenses/by-nc/4.0
date: 2022-12-20
publication date: 2022-12-20
starting page: 239
ending page: 263
doi: 10.32996/jbms.2022.4.4.33

Opportunities and Challenges of Integrating Artificial Intelligence into Management Information Systems: Perspectives of King Khalid University Students
type: item
description: The rapid integration of artificial intelligence (AI) into management information systems (MIS) is reshaping decision-making, learning processes, and organizational efficiency across higher education and business environments. Recent studies highlight that AI-enabled MIS enhances decision quality, analytical capability, and strategic responsiveness while supporting personalized and adaptive learning experiences for students. The literature also shows that AI-driven tools strengthen student engagement, improve information management processes, and enable more agile managerial practices. Despite these benefits, challenges persist, including digital literacy gaps, ethical concerns, varying levels of AI readiness, and barriers to student adoption. Research further indicates rising expectations among students regarding AI’s role in their professional and educational development. As institutions increasingly incorporate AI into curricula, teaching strategies must adapt to balance human judgment with automated intelligence. Overall, the reviewed studies demonstrate that AI’s expanding presence in MIS offers significant potential for improved efficiency and learning outcomes, though careful implementation and skill development remain essential for success.
subject: Research Article
  topic: section
subject: Artificial Intelligence; Management Information Systems; Student Perceptions;AI Challenges; AI Opportunities; King Khalid University
  topic: keywords
creator: Mohammed Hussain A. Alshareef
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by-nc/4.0
date: 2025-04-01
publication date: 2025-04-01
starting page: 249
ending page: 260
doi: 10.32996/jbms.2025.7.2.18

Emotional Intelligence Abilities and Work Engagement among Salespersons: A Conservation of Resources Theory Perspective from Germany’s Pharmaceutical Industry
type: item
description: Sustaining salespersons’ work engagement has become a critical concern amid intensifying professional demands and increasing turnover within the German pharmaceutical B2B sector. Guided by the Conservation of Resources (COR) theory, this study examines how four distinct abilities of emotional intelligence—self-emotion appraisal, others’ emotion appraisal, emotion utilization, and emotion regulation—affect salespersons’ work engagement. Employing a quantitative design, data were collected from 340 pharmaceutical sales representatives in North Rhine-Westphalia and analyzed using partial least squares structural equation modeling (PLS-SEM). The results reveal that all four emotional intelligence abilities exert significant positive effects on work engagement, confirming the hypothesized relationships. Among these, the utilization and regulation of emotion emerged as the most influential predictors, underscoring their pivotal role in sustaining engagement within emotionally demanding sales environments. Overall, the four abilities of EI explained 68% of the variance in work engagement, affirming its value as a psychological resource that enhances motivational energy and mitigates emotional strain. This study enriches the sales management literature by demonstrating the strategic importance of developing emotional competencies to foster work engagement of salespersons in competitive B2B markets.
subject: Research Article
  topic: section
subject: Business-to-Business
  topic: keywords
subject: Emotional intelligence
  topic: keywords
subject: Germany
  topic: keywords
subject: Pharmaceutical Industries
  topic: keywords
subject: Work engagement
  topic: keywords
creator: Yahya Awadh Al-Nami
creator: Amiya Bahaumik
creator: Akram Mufareh Alshammakh
rights: Copyright (c) 2025 Journal of Business and Management Studies https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-06
publication date: 2025-12-06
starting page: 01
ending page: 13
doi: 10.32996/jbms.2025.7.10.1

The Use of Artificial Intelligence in Supporting Managerial Decision-Making: Perspectives of Management Information Systems Faculty Members in Saudi Universities
type: item
description: This study examines Management Information Systems faculty perceptions of the effectiveness and adoption of artificial intelligence (AI) in supporting managerial decision-making in Saudi universities. Using a survey with a five-point Likert scale, the study explored two main areas: faculty views on AI effectiveness in enhancing decision-making and factors influencing AI adoption, including perceived benefits, implementation challenges, and demographic influences. Results show strong faculty support for AI integration, particularly when aligned with ethical standards, data security, and accountability mechanisms. Security and risk mitigation were top priorities, followed by monitoring, evaluation, and transparency measures. Faculty also recognized operational benefits, such as improved decision accuracy, efficiency, and strategic planning, while noting barriers including system compatibility, technical integration, and time requirements. Demographic factors, such as age, experience, and departmental affiliation, shaped perceptions of AI adoption. The findings highlight the need for clear policies, targeted training, technical support, and ongoing monitoring to ensure responsible and effective AI implementation. Limitations include the focus on a single faculty group and reliance on self-reported data, suggesting future research should expand the sample, employ qualitative methods, and explore longitudinal changes in perceptions.
subject: Research Article
  topic: section
subject: Artificial intelligence, managerial decision-making, faculty perceptions, higher education, AI adoption, Saudi universities
  topic: keywords
creator: Mohammed Hussain A. Alshareef
rights: Copyright (c) 2024 https://creativecommons.org/licenses/by-nc/4.0
date: 2024-03-27
publication date: 2024-03-27
starting page: 190
ending page: 202
doi: 10.32996/jbms.2024.6.2.20

Building Usable Management Knowledge: A Framework of Bridging Mechanisms Between Research and Practice
type: item
description: This article develops a conceptual framework for how management research becomes usable knowledge for practitioners. While the theory–practice gap has been widely acknowledged, existing discussions have focused primarily on diagnosing the divide rather than explaining the organizational and intellectual mechanisms through which research gains relevance. Integrating insights from organizational theory, knowledge management and institutional analysis, this narrative review identifies three categories of bridging mechanisms—interface mechanisms, interpretive mechanisms and institutional mechanisms—that shape the translation of scholarly insights into actionable managerial understanding. Interface mechanisms structure interaction between researchers and practitioners; interpretive mechanisms facilitate meaning-making across epistemic communities; and institutional mechanisms create the conditions for long-term knowledge integration. Together, these mechanisms provide a structured account of how management knowledge becomes usable without sacrificing conceptual rigor. The framework contributes to ongoing debates on research impact by reframing knowledge relevance as an outcome of organizational design and knowledge governance rather than as a trade-off with rigor. Implications highlight how intentionally structured interfaces and interpretive processes can enhance the strategic value of management research and support evidence-informed decision-making in organizations.
subject: Research Article
  topic: section
subject: Management knowledge
  topic: keywords
subject: Research-practice interface
  topic: keywords
subject: Knowledge integration
  topic: keywords
subject: Organizational mechanisms
  topic: keywords
subject: Usable knowledge
  topic: keywords
subject: Knowledge governance
  topic: keywords
subject: Conceptual framework
  topic: keywords
creator: Anna Fiorentino
rights: Copyright (c) 2025 Journal of Business and Management Studies https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-01
publication date: 2025-12-01
starting page: 17
ending page: 28
doi: 10.32996/jbms.2025.7.9.2

A Data-Driven Approach to Enhancing Project Management Efficiency through Machine Learning and Predictive Modeling
type: item
description: In the current fast-paced and complex project environments, the traditional methods of project management frequently struggle to manage the dynamic nature and growing complexity of the projects. This study examines the possibilities of the Machine Learning (ML) and Predictive Modeling technology to enhance the efficiency of project management through more intelligent decision-making, resource management and risk management in real time. A data-driven approach that takes ML techniques such as predictive analytics, regression models, and decision trees, greatly improves on the conventional approach by enabling actionable insights from huge datasets from the projects. This research reviews the existing applications of ML in project management, discovers the prevailing challenges associated with its integration, and recommends a framework used for the adoption of predictive modelling techniques. The study reveals the important benefits of using ML in better project forecasting, resource management, and risk prediction. It also looks at the barriers to adoption such as poor quality of data, system integration, and specialized skills. The results indicate that the data-driven methodology can not only streamline the project execution but provide long-term benefits in terms of project improvements, controlling the cost and following the timeline.
subject: Research Article
  topic: section
subject:
  topic: keywords
  value: Machine Learning; Predictive Modeling; Project Management Efficiency; Data-Driven Approach; Risk Mitigation; Resource Optimization; Decision-Making; Predictive Analytics; Regression Models; Project Forecasting
creator: Deb Kanna Roy Toushi
creator: MD ARIFUR RAHAMAN
creator: Saifur Rahman
creator: Md Mahababul Alam Rony
creator: MRINMOY SARKAR
rights: Copyright (c) 2023 https://creativecommons.org/licenses/by-nc/4.0
date: 2023-10-29
publication date: 2023-10-29
starting page: 282
ending page: 292
doi: 10.32996/

Risk Analysis of Material Procurement in Oil and Gas EPC Projects in Sudan
type: item
description: The rapid expansion of the Sudanese oil and gas industry, driven by rising demand, relies heavily on the Engineering, Procurement, and Construction (EPC) project model. Given that material procurement accounts for over 60% of EPC contract value and faces diverse risks, effective risk management is crucial for Sudanese enterprises engaged in international projects. This paper investigates and assesses the material procurement risks in oil and gas EPC projects, specifically focusing on improving risk management and procurement capabilities for Sudanese firms. The methodology involved first defining EPC concepts and risk analysis methods (identification, assessment, response). A comprehensive risk list for material procurement was constructed and subsequently assessed using the Risk Matrix Method, classifying risks into four levels (A to D). Finally, these steps were applied to a case study project to identify, assess, and propose specific risk-response measures. The results categorize procurement risks into two major groups: external risks (natural, political, social, market, owner, supplier) and internal risks (decision-making, plan, orders, transportation, inspection, inventory). The study concludes that Sudanese oil enterprises face significantly higher external risks than internal risks during material procurement in international oil and gas EPC projects.
subject: Research Article
  topic: section
subject: Oil and gas EPC project
  topic: keywords
subject: EPC (Engineering, Procurement, and Construction)
  topic: keywords
subject: Material Procurement;
  topic: keywords
subject: Risk Management
  topic: keywords
creator: Ahmed Atta Elhussein Ali
creator: Xinli Zhang
creator: Mohammad Mesba Ul Hoque
rights: Copyright (c) 2025 Journal of Business and Management Studies https://creativecommons.org/licenses/by-nc/4.0
date: 2025-11-27
publication date: 2025-11-27
starting page: 01
ending page: 16
doi: 10.32996/jbms.2025.7.9.1

Customer Behavior and Factors Influencing the Patronage of Thrift Banks in China
type: item
description: The study investigates the factors influencing client patronage of a thrift bank in China over the last five years. Thrift banks serve their communities by offering affordable financial services, with a focus on low-cost mortgages and competitive interest rates. The research analyzed the demographic profiles of 100 clients, revealing that a typical client is a female, college-educated individual aged 34 to 42 with a middle-income level. Key factors affecting client retention include accessibility, reputation, service delivery, and customer relations. Despite marketing strategies, the bank experienced a decline in deposits and loan approvals, indicating a need for improvement. The research highlights the importance of innovation in product offerings and targeted client retention strategies to adapt to a competitive financial market. An action plan was proposed to enhance client loyalty and satisfaction.
subject: Research Article
  topic: section
subject:
  topic: keywords
  value: Thrift Bank, accessibility, reputation, delivery of service, products and services, customer relation and maintaining balance, attracting/acquiring new clients, retaining clients, deposit generation and loan approvals
creator: QU YING
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by-nc/4.0
date: 2025-11-15
publication date: 2025-11-15
starting page: 39
ending page: 46
doi: 10.32996/jbms.2025.7.8.4