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Research Article
Innovative Strategies to Tackle Poverty, Hunger, Inflation, High Cost of Living and How World’s Richest Countries Can Support Developing Nations Without Debt Accumulation
Ali Mansoor Pasha*
Issue:
Volume 6, Issue 4, December 2025
Pages:
139-148
Received:
21 August 2025
Accepted:
1 September 2025
Published:
26 September 2025
Abstract: This research article presents innovative strategies to address poverty, hunger, inflation, high cost of living, and sustainable support for developing nations without debt accumulation. It proposes a multi-faceted approach to tackle these global challenges through technology-driven and community-based solutions. For poverty and hunger, Community Food Trusts (CFTs) leverage partnerships to redistribute surplus food, aiming for a 30% reduction in urban food insecurity. Micro-Entrepreneurship Incubators (MEIs) foster self-employment with mentorship and microloans, targeting a 40% increase in job creation. Mobile Health Clinics with AI diagnostics aim to enhance healthcare access by 50% in underserved regions, while Peer-Led Learning Hubs (PLLHs) improve education retention by 35%. Digital Skills Mobilization (DSM) programs train youth for remote work, projecting a 45% employment boost. To combat inflation, strategies include Dynamic Digital Currency Adjustment (DDCA) using blockchain, Decentralized Autonomous Supply Chains (DASCs) for cost efficiency, Inflation-Indexed Universal Basic Income (IIUBI) to maintain purchasing power, AI-Driven Price Monitoring to ensure market fairness, and Community-Based Local Currency Systems to bolster local economies. For global support, the article suggests technology transfer partnerships, sustainable investments via a Global Green Investment Fund, human capital development, fair trade agreements, digital infrastructure grants, and global health collaborations. These strategies, supported by diagrams illustrating their mechanisms, aim to foster economic resilience and equitable growth without increasing debt burdens, promoting collaboration between developed and developing nations for sustainable global prosperity.
Abstract: This research article presents innovative strategies to address poverty, hunger, inflation, high cost of living, and sustainable support for developing nations without debt accumulation. It proposes a multi-faceted approach to tackle these global challenges through technology-driven and community-based solutions. For poverty and hunger, Community F...
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Research Article
The Effect of Event Marketing on Customer Purchase Intention: A Case of Bgi Beer Factory in Hawassa, Ethiopia
Teshale Terefe Tolosa*
Issue:
Volume 6, Issue 4, December 2025
Pages:
149-164
Received:
18 August 2025
Accepted:
1 September 2025
Published:
9 December 2025
Abstract: This study investigates the effect of event marketing on customer purchase intention, focusing on BGI Beer Factory in Hawassa, Ethiopia. Event marketing has emerged as a powerful promotional strategy, yet its influence on consumer behavior in emerging markets remains underexplored. The research examines five core variables—brand awareness, customer engagement, customer attitude toward the event, event-sponsor fit, and brand image—to assess their impact on customers’ intention to purchase. A mixed research approach was employed, integrating both quantitative and qualitative data to ensure a comprehensive analysis. The research design combined descriptive and explanatory methods to not only depict the current status of event marketing practices but also explain the causal relationships between the identified variables and purchase intention. A cross-sectional survey of 368 respondents was conducted through structured questionnaires. Data were gathered through a convenience sampling technique, involving 368 respondents who attended BGI-sponsored events, along with in-depth interviews conducted with key marketing personnel of the factory. Quantitative data were analyzed using statistical tools such as regression analysis and SPSS, while qualitative insights were thematically analyzed to enrich the findings. Regression analysis reveals that these factors collectively explain 93.1% of the variance. The results reveal that brand awareness, event-sponsor fit, and brand image have a statistically significant positive impact on purchase intention. Meanwhile, customer engagement and attitude toward the event serve as strong factors enhancing this effect. Furthermore, the study highlights how culturally relevant and emotionally resonant event experiences significantly shape brand perception and loyalty in the Ethiopian context. The findings suggest that companies like BGI can leverage well-structured event marketing strategies to cultivate deeper consumer relationships and drive purchase behavior. The study also provides strategic implications for marketing managers and brand strategists aiming to strengthen brand equity through experiential marketing channels.
Abstract: This study investigates the effect of event marketing on customer purchase intention, focusing on BGI Beer Factory in Hawassa, Ethiopia. Event marketing has emerged as a powerful promotional strategy, yet its influence on consumer behavior in emerging markets remains underexplored. The research examines five core variables—brand awareness, customer...
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Review Article
Assessment of Volcanogenic Sulphur Resource Potential in the Ethiopian Rift
Gera Techane*,
Gutema Mekonen,
Lijalem Yirga,
Megersa Bedo,
Meaza Girmay,
Enatfenta Melaku,
Bisrat Kebede
Issue:
Volume 6, Issue 4, December 2025
Pages:
165-170
Received:
20 September 2025
Accepted:
30 September 2025
Published:
9 December 2025
Abstract: Ethiopia’s geological structure, situated within the East African Rift System, features significant but poorly quantified reserves of both native sulfur and sulfate minerals. This paper presented a comprehensive synthesis and a critical reevaluation of historical exploration records from the 1960s to current assessments, aiming to clarify the nation's sulfur resource. We compiled and analyzed various reserve estimates from key volcanic locations such as Dallol, Chebrit Ale, and Dofan, which fluctuate dramatically from 1,200 tons to an estimated 7 million tons, highlighting crucial uncertainties due to inconsistent methodologies and limited systematic drilling. Our analysis confirmed the presence of native sulfur associated with hydrothermal activities within evaporite sequences. The study also pinpoints considerable non-volcanic sulfate resources, encompassing extensive gypsum/anhydrite and kieserite deposits, which present a vital alternative source. At the same time, we examine the rising domestic demand in Ethiopia, estimating a possible annual consumption of approximately 20,500 tons to facilitate the national fertilizer blending initiative and current industrial applications, primarily for sulfuric acid production. This demand is presently met entirely through imports, resulting in a significant financial burden and strategic vulnerability. The gap between the uncertain resource base and the evident increasing demand underscores a critical challenge for the nation. We recommend prioritizing systematic geological mapping and employing modern exploration methods that integrate sulfur extraction with other mineral resources to enhance economic viability and further national development goals.
Abstract: Ethiopia’s geological structure, situated within the East African Rift System, features significant but poorly quantified reserves of both native sulfur and sulfate minerals. This paper presented a comprehensive synthesis and a critical reevaluation of historical exploration records from the 1960s to current assessments, aiming to clarify the natio...
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Research Article
Automated Analytics by Models of Brain Based on Big Information and Artificial Intelligence
Evgeniy Bryndin*
Issue:
Volume 6, Issue 4, December 2025
Pages:
171-177
Received:
3 November 2025
Accepted:
12 November 2025
Published:
9 December 2025
Abstract: Researchers are actively exploring the relevance of automated information analytics using brain models. This field combines neuroscience, artificial intelligence, and machine learning, enabling a deeper understanding of information processing mechanisms in the brain and the development of more effective technologies. Scientists are creating mathematical and computer models that mimic brain functions. These models provide new insights into information processing mechanisms, particularly in the context of cognitive processes. Machine learning has become a powerful tool for analyzing large volumes of data generated in brain research. Machine learning algorithms allow for the estimation of parameters for models that reflect how the brain processes information. Neuromorphic computing mimics the functioning of the biological brain using spiking neural networks (SNNs). These networks transmit data using short pulses, allowing them to simulate natural signal transmission processes. Such systems offer high data processing speeds, can learn in real time, and can effectively solve problems such as speech recognition or image recognition in video sequences. Intel is developing neuromorphic processors, such as Loihi, that mimic the adaptive behavior of the brain. The intersection of neuroscience and artificial intelligence promises revolutionary advances in understanding the human mind and developing more complex and adaptable AI systems. Automated data analytics using brain models is a promising field that could lead to breakthroughs in neuroscience, medicine, technology, and other areas of human endeavor.
Abstract: Researchers are actively exploring the relevance of automated information analytics using brain models. This field combines neuroscience, artificial intelligence, and machine learning, enabling a deeper understanding of information processing mechanisms in the brain and the development of more effective technologies. Scientists are creating mathema...
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Research Article
Preparation of Carbon Molecular Sieves in Reducing Atmosphere for Selective O2/N2 Separation
Issue:
Volume 6, Issue 4, December 2025
Pages:
178-186
Received:
16 October 2025
Accepted:
30 October 2025
Published:
11 December 2025
DOI:
10.11648/j.innov.20250604.15
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Abstract: Carbon Molecular Sieve (CMS) is an ultramicroporous carbonaceous adsorbent, which is widely used in the field of gas separation, especially for air nitrogen separation, as distinguished from activated carbon due to the uniformity of micropore distribution. The separation of nitrogen from air by pressure swing adsorption (PSA method) using carbon molecular sieve in a medium and small scale nitrogen production process is superior to the conventional air cold separation method. Carbon molecular sieves can be prepared from nuts, wood, polyethylene, polyimide, etc., but we used apricot seed husks as carbon substrates. We analyzed the effect of various factors on the properties of carbon molecular sieves prepared from a matrix of apricot seed husks with extremely low ash content of the matrix and high micropore volume to adsorb oxygen, and on this basis, we established a rational preparation process to prepare CMS for nitrogen gas separation. The properties of the carbon molecular sieves prepared under the optimum preparation conditions were 7.2mg/g oxygen equilibrium adsorption, 6.3mg/g adsorption for 1min and 32 selectivity, which were very good for nitrogen separation. The prepared carbon molecular sieve is highly selective and can be used as a very efficient adsorbent for nitrogen separation in air as well as a support for a highly efficient molecular sieve catalyst.
Abstract: Carbon Molecular Sieve (CMS) is an ultramicroporous carbonaceous adsorbent, which is widely used in the field of gas separation, especially for air nitrogen separation, as distinguished from activated carbon due to the uniformity of micropore distribution. The separation of nitrogen from air by pressure swing adsorption (PSA method) using carbon mo...
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Research Article
Bofares Sign: How Much Is Beneficial for the Diagnosis of Choanal Atresia
Khaled Mohamed Bofares*
Issue:
Volume 6, Issue 4, December 2025
Pages:
187-190
Received:
28 September 2025
Accepted:
18 October 2025
Published:
11 December 2025
DOI:
10.11648/j.innov.20250604.16
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Views:
Abstract: The choanal atresia is considered as one of important disease processes in rhinology particular, and in otorhinolaryngology as general. This condition is worthwhile situation, because it might be presented as emergency circumstance especially if it is associated with bilateral and complete obliteration of posterior choanal of the nasal cavity. However, this condition is due to the congenital and developmental defect of the canalization of the posterior choana, therefore, the diagnosis of the bilateral and complete choanal atresia will become very suggestable among the distressed newborns with nasal breathing difficulties. Moreover, the missing of the diagnosis will be increased among the unilateral or partial disease. Thus, it becomes a challenge to find out different methods and maneuvers to diagnose it. In accordance, as one of many clinical trials to achieve the optimum, safest, simplest as well as diagnostic maneuver for the missed unilateral choanal atresia, we created this presented test, which was found to be very beneficial and helpful to discover the missed unilateral choanal atresia during the performance of adenoidectomy surgery. In the same context, I recommend to consider this simple and safe test as a routine step during the adenoidectomy procedure. Hence, the patient is anesthetized and this will facilitate the conduction of this test to exclude one of the unforeseen disorders, which exaggerates the obstructive manifestation of adenoid enlargement as well as it prevents the complete cure of the child after the adenoidectomy.
Abstract: The choanal atresia is considered as one of important disease processes in rhinology particular, and in otorhinolaryngology as general. This condition is worthwhile situation, because it might be presented as emergency circumstance especially if it is associated with bilateral and complete obliteration of posterior choanal of the nasal cavity. Howe...
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Research Article
Gendered Poverty as a Scourge and Catalyst to Women Socio-economic Hindrance
Sbongile Jeanetty Marcia Nhlapho*,
Lungile Prudence Zondi
Issue:
Volume 6, Issue 4, December 2025
Pages:
191-207
Received:
11 September 2025
Accepted:
29 October 2025
Published:
11 December 2025
DOI:
10.11648/j.innov.20250604.17
Downloads:
Views:
Abstract: Gendered poverty remains one of the most pressing socio-economic challenges of the 21st century, disproportionately affecting women and exacerbating global inequalities. Often conceptualized as the "feminization of poverty," this phenomenon highlights the ways in which structural discrimination, patriarchal norms, and institutional barriers restrict women's access to education, employment, land, and financial resources. Women’s overrepresentation in informal, insecure, and low-paying work, coupled with the disproportionate burden of unpaid care responsibilities, further entrenches cycles of economic vulnerability. Intersectionality deepens these inequalities, as women’s experiences of poverty are mediated by race, class, geography, and other social identities. The consequences of gendered poverty extend beyond individual women to household welfare, national productivity, and the achievement of global development goals, particularly the Sustainable Development Goals (SDGs). This study employs Structuration theory and Black Feminist theory and uses a qualitative methodology. Addressing gendered poverty requires a multidimensional approach that goes beyond income redistribution to include structural reforms, gender-responsive social protection, and the recognition of women as key agents of development. This paper critically examines gendered poverty as both a scourge and a catalyst of women’s socio-economic hindrance, highlighting its causes, impacts, and implications for inclusive development. Gendered poverty, limited land access, and indigenous knowledge systems intersect to marginalize the socio-economic empowerment of women. This study critically examines globally how structural discrimination, patriarchal norms, and institutional barriers restrict women’s access to education, employment, land for food security, and financial resources, reinforcing cycles of economic vulnerability. Indigenous knowledge, while culturally significant, often legitimizes practices that marginalize women, particularly regarding land ownership and decision-making, further entrenching inequality. Employing Structuration theory and Black Feminist theory, this qualitative study highlights the compounded impact of poverty, land deprivation, and exclusionary cultural practices on women’s livelihoods, household welfare, and community development. Findings emphasize the need for the Gender Commission to regulate the application of indigenous knowledge to prevent the marginalization of rural women and enhance their socio-economic agency, including rural women in innovative strategies to enable their participation in land ownership and effectively embark on agricultural activities. By situating local challenges within global development frameworks such as the Sustainable Development Goals (SDGs), this study contributes to debates on gender, poverty, and empowerment, offering evidence-based recommendations for inclusive socio-economic transformation.
Abstract: Gendered poverty remains one of the most pressing socio-economic challenges of the 21st century, disproportionately affecting women and exacerbating global inequalities. Often conceptualized as the "feminization of poverty," this phenomenon highlights the ways in which structural discrimination, patriarchal norms, and institutional barriers restric...
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