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Editorial comments on papers in Volume 2 Issue 2 of BMTP
Full text linkIn an era of unprecedented volatility, rapid technological advancement, and heightened global awareness, the business landscape is in a state of perpetual flux. The traditional paradigms that once offered stability are now being rigorously tested and, in some cases, completely reimagined. Our journal aims to provide a platform for insightful and forward-looking research.
This issue brings together a diverse collection of articles that collectively illuminate the tensions and synergies shaping contemporary organizations. From the micro-level intricacies of communication to the macro-level imperatives of sustainability, our authors examine how organizations are adapting—or failing to adapt—to this new reality. This editorial weaves a narrative through these contributions, highlighting three core themes: the nuanced impact of the digital imperative, the strategic reevaluation of organizational structure and innovation, and the enduring centrality of communication, responsibility, and stakeholder trust
Industry-university partnership governance base on new technologies emergence
Full text linkGovernance plays a critical role in advancing Industry 4.0 technologies by enhancing collaboration between industry and academia. This joint relationship significantly accelerates the development of artificial intelligence (AI) technologies, improves research quality, and strengthens scientific and technical capabilities. The primary objective of this research is to investigate the impact of advancements in AI technologies on strengthening the relationships between industry and universities. By conducting a qualitative analysis of governance practices in technology development across various countries, this study delves deeply into the dynamics of this relationship. The findings indicate that AI serves a pivotal role in enhancing research capabilities, introducing innovative technologies, promoting collaboration, facilitating technology transfer, and driving innovation, competitive advantage, and sustainable progress in industries. Furthermore, the study focuses on governance strategies related to AI within the context of industry-academia collaboration, including the formation of joint committees, initiation of collaborative research projects, facilitation of technology transfer, and establishment of shared platforms for education and research in AI and related fields. These aspects are meticulously examined within the framework of human capital development and knowledge-based economic growth, underscoring the importance of effective governance structures in leveraging AI advancements to strengthen industry-academia partnerships and stimulate technological innovation
Metaverse Era: Digital Media Technology Strategies for Brand Communication - A case study of Jingxing
No full textThe integration of metaverse technology in tourism destination development has become an industry consensus, with numerous destinations utilizing immersive interactive experiences to inject vitality into tourism. However, existing research has insufficiently addressed how digital media technologies in the metaverse era drive tourism destination brand communication. Focusing on the Jingxing tourism destination, this study addresses its current challenges including superficial cultural experiences, unidirectional communication patterns, and fragmented technology application by proposing innovative brand communication strategies utilizing digital media technologies. Based on the Uses and Gratifications Theory and employing content analysis and in-depth interviews, the research demonstrates how the immersive and interactive characteristics of digital media technologies align with users' deep-seated cognitive, emotional, and social needs. Building on this foundation, the study constructs a four-dimensional strategic system centered on immersive narrative experiences, interactive co-creation platforms, technology ecosystem integration, and sustainable operations. Through VR/AR scene reconstruction, UGC community co-creation, digital asset distribution, and virtual-physical integration models, this system aims to transform Jingxing from a geographical destination into a cultural IP and emotional connection space, ultimately achieving a paradigm shift in brand communication from one-way dissemination to user-driven engagement and from information delivery to value co-creation, thereby providing theoretical references and practical pathways for the digital communication of similar cultural heritage tourism destinations
Factors influencing agricultural entrepreneurship engagement in rural mining areas of Kasai Oriental, DR Congo
No full textThis study examines the factors influencing rural household engagement in agricultural entrepreneurship in Kasai Oriental. Despite the coexistence of farming activities with a thriving artisanal diamond mining sector, the region continues to experience persistently high unemployment, poverty, and food insecurity. In front of such challenges, agricultural entrepreneurship may hold the alleviating keystone. To investigate determinants of agricultural entrepreneurship engagement, the study lies on fixed-effects logit model to control unobserved heterogeneity at the village level. Key findings indicate that self-efficacy significantly increase the likelihood to engage in agricultural entrepreneurship, while fear of failure substantially reduces it. Access to land and participation in informal credit groups also exert positive influences on decision to engage in entrepreneurial activity. Conversely, demographic factors reveal lower engagement among younger, more educated individuals, and big households, likely due to attraction of get-quick-rich artisanal mining perceived as offering high income. Additionally, land conflicts and proximity to mining sites further diminish the probability of engaging in agricultural ventures. Based on these results, policy interventions must focus on vocational training, psychological support, improved access to credit and land. Such efforts should specifically target youth and educated rural residents to enhance the attractiveness and sustainability of the agricultural sector. Thus, this study contributes to a nuanced understanding of the multifaceted drivers of rural agricultural entrepreneurship in the context of mining region and provides actionable insights for targeted strategies to foster sustainable rural economic development.
 
Enhancing cancer diagnosis accuracy with a hybrid ML model: A study on UAE patient data
No full textPreliminary identification of cancer is still essential because it can greatly improve the chances of survival of a patient, as cancer is the leading reason of death internationally. In this study, we introduce a mixed machine learning (ML) model using support vector machines (SVM) and random forest (RF) algorithms. To improve accuracy in diagnosing cancer, classifiers such as linear regression (LinReg), support vector machines (SVM), and logistic regression (LogReg) are used. This way, the model is tested and validated using the UAE Cancer. It contains medical records of all patients, their demographic information, clinical information, and outcomes. Our results demonstrate that the hybrid model achieved 98.3% accuracy, 98.5% recall, and 0.99 AUC-ROC, outperforming individual classifiers. Policies are justiciable despite the difficulties of needing to validate findings from many datasets, make them easy to use clinically, and manage biases in the available information. Because of this study, people are considering how hybrid ML models can be beneficial in clinical care and are encouraging more research on cancer diagnostics
Transitioning from onsite to virtual tourism using metaverse: An EcoTech framework for sustainable tourism development
No full textThis study investigates how Virtual Reality (VR) tourism can help combat environmental degradation in Pakistan, including its potential to promote socio-economic growth in the country. Given the ever-increasing concerns governing the ecological degradation posed by physical tourism in a global landscape, VR tourism offers a sustainable alternative with much lesser impact on the environment and natural resources than on-site tourism. This study thus offers a conceptually-driven yet theoretically-supported and literature-backed EcoTech framework that integrates the external & internal factors affecting the adoption and effectiveness of virtual tourism activities & initiatives. To this end, the influence of external factors such as environmental concerns, environmental responsibility, pro-environmental behavior, eco-guilt and ecological impact on travel was theoretically evaluated to understand the individuals’ attitudes toward embracing virtual tourism. Moreover, the influence of age, gender, income, educational background and household size of the individuals were also considered as key control factors that could potentially affect their visit intentions from socio-economic & demographic viewpoints. Accordingly, this study advocates ‘Willingness-to-Forgo-Pleasure-of-In-situ-Tourism’ as a key enabler for promoting eco-friendly tourism and environmental sustainability as a whole. By and large, the suggested EcoTech framework offers some policy insights and guiding mechanisms for tourism industry stakeholders such as tour operators, government tourism departments including the eco-conscious travellers & tourists looking for cost-effective, environment-friendly and resource-efficient alternatives to on-site tourism
A linear regression model to demonstrate balancing productivity and sustainability for small-scale farmers: A case study in Malawi
No full textAdverse climate change effects, specifically droughts, floods, and dry spells, negatively affect agricultural production. The application of several machine learning methods assists with crop production prediction while factoring in these environmental variables. Machine learning is a crucial tool to ensure crop yield estimation, good agricultural planning practices, and effective decision-making, enabling better application of proposed interventions. Ecological intelligence signifies a paradigm shift toward balancing the competing goals of sustainability and productivity. This study aimed to demonstrate efficient agricultural productivity that addresses SDGs 12 (Responsible consumption and production), SDG 13 (Climate action), and SDG 15 (Life on land). The study was carried out in Lilongwe and Dowa districts, Malawi, and compared single and dual crop yields of farmers cultivating the same crop on similar hectarage, and their respective crop value, profitability, and sustainability. The study population comprised 62 (29.7%) male and 140 (70.3%) female farmers. A linear regression model analysis showed the importance and value of both crop yield and ecosystem resilience. The 80:20 train-test ratio split was used to produce good and effective output. Results showed that the dual crop yields of maize and beans were more profitable in comparison to both monocrop beans and maize plots. Male farmers had higher profits and yields than female farmers. These results show that sustainable practices can be incorporated into farming systems and could ensure both profitability and sustainability. However, future research will be done using intensive multiple-cropping and environmentally friendly methods that focus on consistent yields over an extended period
Influence of different air pollutants on concentration of PM2.5 in national capital region (NCR), India
Full text linkAir pollution has become a hot topic, especially among megacities throughout the globe. In this context, the national capital region (NCR) of India, including Delhi and its adjoining areas, deserves special mention. Air pollutants such as sulfur dioxide (SO2), nitrogen oxides (NOx), ground-level ozone (O3), carbon monoxide (CO), and particulate matter (PM2.5, PM10) are some of the important elements often making adverse impacts on the city air in recent times. Especially PM2.5 and PM10 in the NCR have come up several times in the news reports due to extremely high concentrations. The present article focuses on finding out the correlation between the concentration of PM2.5 and other pollutants in two regions named Indirapuram and Noida, prominent locations in the NCR. The results (R2) indicate that correlation fits better when the concentration of two pollutants is compared against PM2.5 rather than compared with a concentration of a single pollutant. In most of the cases, a positive correlation is observed, while in a few cases, a negative correlation is attained. Finally, the model is tested against some known values of independent and dependent variables
Energy resources: Their causal relationship with ecology and environments
Full text linkEnergy resources are critical drivers of economic development and societal progress, but their extraction, conversion, and use have profoundly impacted ecological systems and the environment. Therefore, it is essential to explore the relationships between energy resources and the environment throughout history. This paper examines the causal relationships between energy resource utilization and environmental changes, addressing both renewable and non-renewable energy sources. We analyze the environmental consequences of energy extraction and consumption, including pollution, habitat destruction, and climate change, and evaluate sustainable approaches to mitigate these effects. Fossil fuels have been the primary source of energy and are major contributors to greenhouse gas emissions, air and water pollution, and habitat destruction, all of which exacerbate global climate change. On the other hand, renewable energy sources such as wind, solar, and hydroelectric power are considered more sustainable. However, they also have environmental impacts, such as habitat disruption and high resource consumption. Researchers argue that trade-offs must be managed between increasing energy use, facilitated by technological advancements, and achieving sustainability. Energy generation and ecological goals should not be viewed as opposing or irreconcilable. With the implementation of appropriate policies, measures, and guidelines, energy production can be aligned with efforts to mitigate climate change and promote sustainability
An efficient security framework, vulnerabilities, and defense mechanisms in LoraWAN
Full text linkThe rapid expansion of cloud computing within business environments, along with the increasing complexity of organizational deployments, has led to a surge in cloud-based attacks on computer networks. These attacks exploit security vulnerabilities and systemic breaches. This study explores robust defense mechanisms by leveraging policy-based configurations and rule enforcement on edge network devices. These mechanisms were tested using GNS3 simulations to strengthen internal and external infrastructures against critical threats such as ICMP, CDP, and port security attacks