مطالب

Tourism is widely acknowledged as a potential engine of economic growth and poverty reduction, particularly in developing countries. This research investigates the impact of tourist growth on poverty reduction in Wukari Local Government Area, Taraba State, Nigeria. The study concentrated on its contributions, problems, and ideas for increasing its pro-poor effect. The questionnaire was applied to obtain data from 400 respondents. The data were examined descriptively. The findings show a clear consensus that tourism may greatly help to poverty reduction, with job creation and income generation highlighted as main advantages. However, fundamental constraints such as inadequate infrastructure, poor security, and little government backing impede tourist expansion. Respondents significantly approve policies such as government infrastructure investment, enhanced security measures, entrepreneurial training, awareness campaigns, and community participation in tourist planning. The study indicates that tourism has significant potential for poverty reduction in Wukari LGA, and that focused interventions are required to solve its obstacles for long-term and inclusive growth.

Postmodern tourism is gradually shifting away from mass tourism toward more personalized, experience-based, and interest-driven forms of travel. In response to this trend, many destinations are increasingly emphasizing local cuisine and developing culinary tourism as one of the most dynamic and creative sectors of the tourism industry. However, the successful development of culinary tourism is not possible without a clear understanding of culinary tourists’ behavior. Accordingly, the aim of this study is to explain the behavior of product-oriented culinary tourists, the most specialized segment of culinary tourism, by developing a behavioral model using a mixed-method approach. In the qualitative phase, a meta-synthesis method was applied, while the quantitative phase employed structural equation modeling (SEM) using SmartPLS 4 to identify key dimensions, components, and indicators, as well as to examine the relationships among them. The sample size was determined using the Cochran formula and consisted of 285 participants, who were randomly selected from saffron culinary tourists visiting the Qaenat region. The findings indicate that tourists’ motivation, destination image, and perceived service quality have direct effects on satisfaction and indirect effects on behavioral intentions. Notably, perceived service quality also shows a direct and significant influence on behavioral intentions. Furthermore, the results highlight several key destination characteristics that strongly influence the quality of culinary tourism tours. These include cultural and culinary involvement, accommodation quality, farm-based experiences, food and beverage quality, reliable service delivery, a sense of safety and tranquillity, effective tour organization, and the quality of tour guide services .

In data-driven marketing, customer behavior analysis plays a crucial role in developing targeted marketing strategies aimed at increasing return on investment, enhancing profitability, and gaining a larger market share. In this study, four clustering methods- including K-means, density-based clustering, principal component analysis, and hierarchical clustering- as well as four classification methods- including Support Vector Machine, XGBoost, Random Forest, and Gradient Boosting- are examined for customer behavior analysis. The data for this study was extracted from the "Amazon Customer Behavior Survey" dataset, which includes 23 features from 602 customers. Initially, the data was preprocessed, and then, using clustering methods, customers were divided into different groups. The performance of these methods was evaluated based on criteria such as the silhouette index, and ultimately, appropriate marketing strategies for each cluster were proposed. Additionally, to examine the possibility of predicting customer membership in the extracted clusters, the aforementioned classification models were implemented and compared. The results indicate that the K-means method performed the best in clustering, while the XGBoost model performed the best in classification. The innovation of this research lies in combining clustering and classification methods to provide targeted marketing strategies and comprehensively comparing these methods on real customer data. This study demonstrates that combining clustering and classification methods can help businesses better understand customer behavior and make more optimal marketing decisions.

Understanding the descriptions of graves and historical mortuary practices is crucial for interpreting contextual information and broader social significance. This study employs an interdisciplinary approach, drawing from archaeological literature, anthropological evidence, and sociological theory to expand the range of possible interpretations. The research is based on ethnoarchaeological research on the mourning ritual of the Bakhtiari people in southwest Iran. A ritual that exemplifies memorials is embodied in monuments called Mafegeh for individuals or groups whose remains are elsewhere. The conceptual framework encompasses the theoretical and methodological aspects of comparing ethnographic and archaeological data. This framework provides a comprehensive approach to effectively analyzing and drawing connections between these two data types. Fieldwork involves conducting archaeological surveys, interviews, and direct ethnographic observations to document the Mafegeh. The study shows theoretical considerations and emphasises the reluctance to forget the dead. Nonreligious beliefs and mental states underlie many motivations of this practice. It may be that mafageh is driven by other symbolic, emotional, and practical reasons, and that has little to do with a belief in immortal souls. Such historically and culturally recurring funerary practices suggest that humans are predisposed to believe in and prepare for an afterlife. A possible reason would have been that the deceased had died elsewhere; thus, the memorial structure was erected to honour him. The research exclusively involves men, and no instances related to women were found.

Objective : This study addresses the critical gap in understanding how Industry 4.0 technologies—Artificial Intelligence (AI), Internet of Things (IoT), blockchain, and Extended Reality (XR)—synergistically transform customer-centric supply chains in creative industries (e.g., music, fashion, film). It moves beyond fragmented analysis to develop a unified framework for customer-integrated value delivery. Methodology: A systematic meta-synthesis was conducted following established seven-stage protocols. A targeted search across Scopus and Web of Science (2016–2025) identified relevant literature. After stringent screening and quality appraisal (the Critical Appraisal Skills Programme (CASP) checklist), 59 high-quality publications were analyzed through iterative coding and thematic analysis. Results : The analysis produced a novel framework of five interdependent components: (1) Customer-Integrated Value Creation (e.g., AI co-design), (2) Omnichannel & Immersive Fulfillment (e.g., XR commerce), (3) Dynamic Value Capture Models (e.g., fan-driven financing), (4) Algorithmic & Gamified Community Engagement , and (5) Networked Co-Creation Ecosystems . The framework demonstrates how AI, IoT, blockchain, and XR interconnect to transform linear supply chains into agile, experiential, community-integrated value networks. Conclusion : This study presents the first synthesized framework for Industry 4.0-enabled, customer-centric supply chains in creative industries. It bridges technology, culture, and operations management, offering researchers a structured model for future inquiry and providing practitioners with a strategic roadmap for building responsive, community-driven operations. The research fills a significant literature gap and offers a blueprint for competitive advantage in the digital creative economy.

The present article intends to apply Deleuzist tenets on Shakespeare’s Antony and Cleopatra . Deleuze posits that an artwork is a desiring machine endowed with the basic components of becoming woman, becoming animal, nomadism, war machine as well as BwO (body without organs). Drawing upon them, this research aims to dissolve Rome-Egypt duality and its corresponding genderized subjectivity and racial bias. The major questions raised in the research include: First, how do the early modern biracial lovers, from contrasting geographical spaces, merge in parallelism, and to what effect? Second, to what extent is the course of desubjectification carried out? Third, what vantagepoint (in culturalists’ parlance) is envisioned for the future polity? To answer these questions, the present study probes into Deleuzist theories to demonstrate the characters’ decisiveness to transgress hegemonic codes and legitimate ideological power relations. These formulations align with Ovidian tradition of metamorphosis. Bodies in flux, reenact Shakespeare’s lovers in perpetual passage both within and without until Rome and Egypt – summing up the white/nonwhite polarity – consolidate. The disruptive theories appropriated by the lovers drive them to the communion of the disadvantaged. The final egalitarian gesture would envision a future polity of inclusion, diversity and equity.

Objective : The global increase in the elderly population has heightened the need for coordinated, tailored healthcare services that address the complex needs of older adults. This study aims to conceptualize the elderly healthcare ecosystem by identifying its key actors, classifying their roles, and examining the nature of their interactions. Methodology: A multi-stage methodological approach was employed. First, an extensive literature review—focusing on healthcare ecosystems and ageing studies—was conducted to develop an initial analytical framework. Based on this, ecosystem actors were identified and categorized using Mitchell et al.’s Stakeholder Salience Model. An expert panel was then consulted to validate actor attributes and refine classifications. To analyze interdependencies and determine influential actors, a Fuzzy Cognitive Map was constructed, enabling the assessment of causal relationships and the dynamic positioning of stakeholders within the ecosystem. Results : The analysis identified seven groups of actors within the healthcare ecosystem. FCM findings reveal that the elderly, families, and medical centers are the most influential actors. At the same time, the Ministry of Health and Medical Education, insurance and pension funds, and the Ministry of Cooperatives, Labor, and Social Welfare emerge as the most influential and central stakeholders in advancing ecosystem objectives. Conclusion : The study demonstrates that the elderly healthcare ecosystem is inherently dynamic, and stakeholder classifications should not be viewed as static. Attributes such as power, legitimacy, and urgency are fluid and context-dependent. The FCM results further highlight this dynamism by illustrating how shifts in causal relationships can reposition actors across stakeholder categories, underscoring the need for adaptive policymaking.

story from Dubliners has received immense critical reception over the years and has been studied through various critical frameworks. However, its potential for analysis based on Hegelian dialectic has been largely overlooked. Considering the last episode of the story as a moment of epiphany and self-realization, the study seeks to discuss how the protagonist’s development of consciousness can be interpreted based on the three stages of Hegelian dialectic: Understanding (Idealization of Mangan's sister and the bazaar), Dialectical (faced with contradiction at the bazaar), and Speculative (the final epiphany). The analysis demonstrates how the narrator’s initially fixed determinations and alienated consciousness in the understanding stage face their contradiction at the dialectical moment, resulting in the final epiphany, which mirrors the last stage of the dialectic where contradictions are resolved and self-realization is achieved. Further, based on the principles of Hegelian dialectic rooted in philosophical idealism, the study not only asserts that the narrator’s consciousness evolves through a process driven by contradiction, but it also interprets the narrator’s journey from naïve idealization to self-realization as a universal process of maturation. To avoid a mechanical and rigid application of the dialectical method, the analysis relies on close textual reading to identify the elements that contribute to each moment of the dialectic and deeply contextualizes the argument to deviate from oversimplification of the text.

Masculinity, unlike femininity, have long been left understudied by the scholars. This originated from the essentialist idea that men and masculinity are natural, and subsequently had been taken for granted. They were, not required to be studied. Men, were deemed as the agents who gazed and studied. However with the advent of structuralist and poststructuralist ideas in humanities and specially in social theory, masculinity attracted attentions. No longer was masculinity considered natural, God-given. Now the new theories regarded masculinity as a constructed phenomenon subject to cultural, structural, discursive, and material forces. Therefore it was inevitably subject to change, It was no longer seen as an essential entity. These theoretical inventions spread, though belatedly, into the realm of literary studies. Literary works, especially fiction, provides a very rich material to explore the dynamics and nuances of theory. The present article sets to apply the theories in the field of masculinity studies from social theory to a novel by the British-Syrian writer Robin Yassin Kassab. The Road from Damascus could be useful text to investigate how masculinity produced and reproduced, how it constructed and changed as men experience different social structures. The novel, successfully, takes masculinity as a sign whose significance alters as it moves from one structure to another. A significant aspect of the novel is its focus on immigrant people in the cultural space of England. The article would investigate how the two “modalities” masculinity and immigration would invite new meanings into the previous studies done on the work.

Zygmunt Bauman (1925-2017) consistently oscillates between the roles of sociologist and novelist throughout his works, and, unlike many other sociologists, he makes conscious and deliberate use of metaphor. The aim of this article is to examine the metaphorical concepts in Zygmunt Bauman’s imagination by employing the “metaphor identification method” and drawing on the theoretical frameworks of Lakoff and Johnson as well as Paul Ricoeur. The findings of the study reveal that Bauman employs metaphors at both the ontological and methodological levels. For Bauman, metaphor is not merely a descriptive tool, but a research strategy for examining abstract and intangible aspects of human life such as inequality, globalization, ethics, suffering, love, solidarity, and oppression. The overarching and central metaphor in Bauman’s thought is liquidity. His other metaphors are subordinate to the metaphor of liquid modernity and are coherently interconnected within this conceptual constellation. He believes the old order is collapsing in the transition from solid to liquid modernity, but the new has not yet been born. Moreover, many of Bauman’s metaphors exhibit temporal, spatial, and binary characteristics. These metaphors allow Bauman not only to describe the complexities of modern society but also to make them experientially accessible and intellectually comprehensible. Bauman’s notion of a liquid society can be seen as a metaphorical extension of concepts such as Giddens’s “late modernity,” Ulrich Beck’s “risk society,” and Lyotard’s “postmodern.” However, Bauman reconfigures and re-narrates these ideas through a distinct theoretical framework inspired by Paul Ricoeur.