bluuebunny/crossref_metadata_2025_split huggingface dataset:
The influence of social media marketing on consumer behavior in the retail industry: A comprehensive review
Authors: Kikelomo Fadilat Anjorin  , Mustafa Ayobami Raji  , Hameedat Bukola Olodo  
Published: May 2024

The pervasive impact of social media marketing on consumer behavior within the retail industry serves as the focal point of this comprehensive review. This paper aims to dissect the intricate relationship between social media marketing initiatives and their effects on consumer purchasing patterns, brand loyalty, and engagement. By collating and examining a broad spectrum of literature, including empirical studies, theoretical frameworks, and case analyses, this review endeavors to provide a holistic understanding of how social media platforms are reshaping consumer interactions with retail brands. Without adopting a primary research methodology, this review critically analyzes existing research findings to identify prevailing trends, effective strategies, and the resultant consumer responses to social media marketing in the retail context. The analysis delves into the mechanisms through which social media influences consumer perceptions, engagement practices, and ultimately, purchasing decisions. It highlights the transformative power of social media in marketing, emphasizing the shift towards more interactive, personalized, and consumer-driven communication strategies. Key insights reveal that social media marketing exerts a profound influence on consumer behavior, mediated by factors such as content authenticity, the extent of consumer engagement, and the strategic use of influencers and user-generated content. These elements are shown to enhance brand visibility, strengthen consumer-brand relationships, and influence purchasing behavior. The paper posits that social media marketing represents a critical element in the contemporary retail marketing mix, with significant implications for consumer behaviour. Retailers must leverage innovative social media strategies to engage consumers effectively. The review also suggests avenues for future research, particularly in the context of evolving social media trends and their impact on consumer behavior. This synthesis aims to equip practitioners and scholars with a nuanced understanding of the role of social media marketing in shaping consumer dynamics within the retail sector.
Keywords: Social Media Marketing, Consumer Engagement, Brand Awareness, Content Marketing, Influencer Marketing, Personalization, Customer Relationship Management (CRM).
Strategies for protecting IT supply chains against cybersecurity threats
Authors: Olubunmi Adeolu Adenekan  , Chinedu Ezeigweneme  , Excel Great Chukwurah  
Published: May 2024

This review paper explores the multifaceted realm of cybersecurity within IT supply chains, addressing the intricate challenges posed by digital vulnerabilities, high-profile cyber incidents, and emerging threats. It highlights the criticality of continuous risk assessment, the implementation of international security standards, and the necessity for enhanced management of third-party vendors. The paper also delves into advanced technological solutions like blockchain, AI, and machine learning for bolstering security, advocating for best practices including the zero-trust model, regular employee training, and secure software development. Emphasizing a proactive over a reactive approach, the paper underscores the evolving nature of cyber threats and the imperative for adaptive strategies. It calls for concerted efforts from businesses, policymakers, and IT professionals to prioritize and continuously refine cybersecurity measures in safeguarding IT supply chains against future threats.
Keywords: IT Supply Chain, Cybersecurity, Risk Management, Blockchain, Zero-Trust Model, Artificial Intelligence.
Enhancing manufacturing productivity: A review of AI-Driven supply chain management optimization and ERP systems integration
Authors: Olubunmi Adeolu Adenekan  , Nko Okina Solomon  , Peter Simpa  , Scholar Chinenye Obasi  
Published: May 2024

This abstract delves into the realm of manufacturing productivity enhancement through the review of AI-driven supply chain management (SCM) optimization and Enterprise Resource Planning (ERP) systems integration. As industries strive for operational excellence, the convergence of artificial intelligence (AI) and supply chain management emerges as a transformative force in driving efficiency, agility, and competitiveness. Through a comprehensive analysis, this abstract examines the synergistic relationship between AI-driven SCM optimization and the integration of ERP systems, elucidating their collective impact on manufacturing productivity. AI-driven SCM optimization encompasses a spectrum of technologies and methodologies, including predictive analytics, machine learning, and autonomous decision-making systems, aimed at optimizing various facets of the supply chain, from demand forecasting and inventory management to production planning and logistics optimization. By harnessing the power of AI, manufacturers can enhance forecasting accuracy, reduce lead times, optimize inventory levels, and mitigate supply chain disruptions, thereby improving overall productivity and customer satisfaction. Integration of ERP systems plays a complementary role in manufacturing productivity enhancement by providing a centralized platform for data management, process automation, and cross-functional collaboration. Through seamless integration with AI-driven SCM optimization tools, ERP systems enable real-time data exchange, actionable insights, and end-to-end visibility across the supply chain, facilitating informed decision-making and agile response to dynamic market conditions. Drawing insights from case studies and industry examples, this abstract highlights best practices, challenges, and emerging trends in AI-driven SCM optimization and ERP systems integration. Strategies for successful implementation, including organizational readiness assessment, change management, and stakeholder engagement, are discussed to guide manufacturers in unlocking the full potential of these transformative technologies. In conclusion, the convergence of AI-driven SCM optimization and ERP systems integration offers a compelling pathway for enhancing manufacturing productivity, driving operational excellence, and sustaining competitive advantage in the digital era..
Keywords: Artificial Intelligence, Supply Chain Management, Enterprise Resource Planning, Manufacturing Productivity, AI Integration, Predictive Analytics.
Harnessing artificial intelligence to develop strategic marketing goals
Authors: Kikelomo Fadilat Anjorin  , Mustafa Ayobami Raji  , Hameedat Bukola Olodo  , Oluwaseun Peter Oyeyemi  
Published: May 2024

In today's rapidly evolving business landscape, harnessing artificial intelligence (AI) has become imperative for organizations striving to remain competitive. This concept paper explores the integration of AI in developing strategic marketing goals, aiming to provide a comprehensive framework for leveraging AI's capabilities effectively. The paper begins by outlining the current state of AI in marketing, highlighting its transformative potential across various facets such as customer segmentation, personalized targeting, predictive analytics, and automation. It underscores the necessity for businesses to embrace AI-driven approaches to stay ahead in an increasingly data-driven marketplace. Moreover, the concept paper delves into the strategic implications of AI adoption in marketing. It emphasizes the need for alignment between AI initiatives and overarching business objectives, emphasizing the role of AI in enhancing customer experience, optimizing resource allocation, and driving revenue growth. Furthermore, the paper addresses key considerations and challenges associated with integrating AI into marketing strategies, including data privacy concerns, ethical implications, and organizational readiness. It advocates for a structured approach to AI implementation, encompassing robust data governance, talent acquisition, and continuous monitoring to mitigate risks effectively. Drawing upon industry best practices and case studies, the concept paper elucidates practical methodologies for leveraging AI in setting strategic marketing goals. It emphasizes the importance of data-driven decision-making, iterative experimentation, and agile adaptation to capitalize on AI's potential for driving innovation and competitive advantage. In conclusion, the concept paper advocates for a proactive stance towards embracing AI in marketing strategy formulation. By strategically harnessing AI's capabilities, organizations can not only enhance their marketing effectiveness but also cultivate long-term sustainable growth in today's dynamic business environment.
Keywords: AI, Strategic, Marketing, Environment, Goals, Business.
The influence of consumer behavior on sustainable marketing efforts
Authors: Kikelomo Fadilat Anjorin  , Mustafa Ayobami Raji  , Hameedat Bukola Olodo  , Oluwaseun Peter Oyeyemi  
Published: May 2024

This concept paper explores the dynamic relationship between consumer behavior and sustainable marketing efforts. As consumers increasingly prioritize environmental and social responsibility, businesses are adapting their marketing strategies to meet these evolving demands. The paper provides insights into the influence of consumer attitudes, beliefs, and values on sustainable purchasing decisions, highlighting the growing market for environmentally friendly products and the importance of transparent communication about sustainability efforts. Through a review of existing literature, the paper identifies key trends, challenges, and opportunities for businesses seeking to align their marketing strategies with sustainability goals. It proposes a model for understanding the influence of consumer behavior on sustainable marketing efforts, emphasizing the role of marketing strategies in shaping consumer perceptions of sustainability and influencing purchasing behavior. While businesses face challenges such as the high cost of sustainable production and the complexity of supply chains, the paper also highlights opportunities to differentiate themselves in the market and build stronger relationships with environmentally conscious consumers. By understanding consumer preferences and values, businesses can develop marketing strategies that resonate with their target audience and drive positive change. In conclusion, consumer behavior has a significant impact on sustainable marketing efforts, and businesses must adapt their strategies to meet the demands of an increasingly socially and environmentally conscious consumer base. The paper provides a foundation for further research and offers practical insights for businesses looking to integrate sustainability into their marketing strategies and achieve long-term success in a rapidly changing market landscape..
Keywords: Consumer Behavior, Sustainability, Marketing.
Field comparison of dual- and single-spot Aethalometers: equivalent black carbon, light absorption, Ångström exponent and secondary brown carbon estimations
Authors: Wu Liangbin , Wu Cheng , Deng Tao , Wu Dui , Li Mei , Li Yong Jie , Zhou Zhen 
Published: May 2024

Abstract. The Aethalometer is a widely used instrument for black carbon (BC) mass concentration and light absorption coefficient (babs) measurements around the world. However, field intercomparison of the two popular models, dual-spot (AE33) and single-spot (AE31) Aethalometers, remains limited; in addition, the difference in secondary brown carbon (BrCsec) light absorption estimation between the two models is largely unknown. We performed full-year collocated AE33 and AE31 measurements in a megacity in southern China – Guangzhou. The babs values agree well between the two Aethalometers (R2 > 0.95), with AE33 / AE31 slopes ranging from 0.87 to 1.04 for seven wavelengths. AE33 consistently exhibits lower limits of detection (LODs) than AE31 for time resolutions of 2 to 60 min. The AE33 / AE31 slope for equivalent BC (eBC) was 1.2, implying the need for site-specific post-correction. The absorption Ångström exponent (AAE) obtained from different approaches does not agree very well between the two models, with the biggest discrepancy found in AAE880/950. The estimated BrCsec light absorption at 370 nm (babs370_BrCsec) was calculated using the minimum-R-squared (MRS) method for both Aethalometers. The babs370_BrCsec comparison yields a slope of 0.78 and an R2 of 0.72 between the two models, implying a non-negligible inter-instrument difference. This study highlights the high consistency in babs but less so in AAE between AE31 and AE33 and reveals site-specific correction for eBC estimation and non-negligible difference in BrCsec estimation. The results are valuable for data continuity in long-term Aethalometer measurements when transitioning from the older (AE31) to the newer (AE33) model, as anticipated in permanent global-climate and air-quality stations.
On the impact of true polar wander on heat flux patterns at the core–mantle boundary
Authors: Frasson Thomas , Labrosse Stéphane , Nataf Henri-Claude , Coltice Nicolas , Flament Nicolas 
Published: May 2024

Abstract. The heat flux across the core–mantle boundary (CMB) is a fundamental variable for Earth evolution and internal dynamics. Seismic tomography provides access to seismic heterogeneities in the lower mantle, which can be related to present-day thermal heterogeneities. Alternatively, mantle convection models can be used to either infer past CMB heat flux or to produce statistically realistic CMB heat flux patterns in self-consistent models. Mantle dynamics modifies the inertia tensor of the Earth, which implies a rotation of the Earth with respect to its spin axis, a phenomenon called true polar wander (TPW). This rotation must be taken into account to link the dynamics of the mantle to the dynamics of the core. In this study, we explore the impact of TPW on the CMB heat flux over long timescales (∼1 Gyr) using two recently published mantle convection models: one model driven by a plate reconstruction and a second that self-consistently produces a plate-like behaviour. We compute the geoid in both models to correct for TPW. In the plate-driven model, we compute a total geoid and a geoid in which lateral variations of viscosity and density are suppressed above 350 km depth. An alternative to TPW correction is used for the plate-driven model by simply repositioning the model in the original paleomagnetic reference frame of the plate reconstruction. The average TPW rates range between 0.4 and 1.8° Myr−1, but peaks up to 10° Myr−1 are observed. We find that in the plate-driven mantle convection model used in this study, the maximum inertia axis produced by the model does not show a long-term consistency with the position of the magnetic dipole inferred from paleomagnetism. TPW plays an important role in redistributing the CMB heat flux, notably at short timescales (≤10 Myr). Those rapid variations modify the latitudinal distribution of the CMB heat flux, which is known to affect the stability of the magnetic dipole in geodynamo simulations. A principal component analysis (PCA) is computed to obtain the dominant CMB heat flux pattern in the different cases. These heat flux patterns are representative of the mantle convection cases studied here and can be used as boundary conditions for geodynamo models.
Inclusive Change in Saint Vincent and the Grenadines: A Collaborative Autoethnography
Authors: Somma Monique , Freer John , Shuttleworth Margo , Bennett Sheila 
Published: May 2024

In many countries, including those in the Caribbean, there has recently been an increasing demand for professional development on inclusive educational practices This need for high-quality professional development is in line with the United Nations Educational, Scientific and Cultural Organization’s (2016) call for inclusion of all children by 2030. Recently, our team was asked to provide professional development to educators in Saint Vincent and the Grenadines that focused on evidence-based practices for students with special education needs. Over the course of 3 years, this service work evolved into a multi-faceted pilot of inclusive education, whereby students with special education needs transitioned from a segregated school into mainstream schools. In this article, we present a collaborative autoethnography that highlights our collective experiences. Our self‑reflections chronicle our experiences and accompanying perceptions gained through providing support and education to educators, students, schools, community, and families in Saint Vincent and the Grenadines over a 3-year period, as they prepared for this transition to inclusion. In collectively reviewing our self-reflections, we discovered three major themes at the heart of our service work: (a) “barriers to inclusion,” (b) “the importance of relationships,” and (c) “transformation.” In discussing these three themes, we explore the successes and challenges we experienced throughout these service projects. What follows is a discussion of our reflective musings related to these experiences as shared critical knowledge for sustainable inclusion work within the Caribbean and beyond.
Peningkatan Keaktifan Belajar Menggunakan Metode Think Pair Share Dalam Pelajaran Sejarah Di SMAN 3 Medan
Authors: Daulay Kurnia Akhirani , Nasution Abdul Haris , Sihotang Masniar 
Published: May 2024

Tujuan dari penelitian ialah : (1) Mengetahui tingkat pemahaman belajar peserta didik dalam menguasai materi pembelajaran kerajaan islam, (2) Mengetahui peningkatan keaktifan belajar siswa dalam materi pembelajaran kerajaan Islam di SMA Negeri 3 Medan sebelum dan sesudah penerapan metode think-pair-share. Metode penelitian merupakan bentuk penelitian tindakan kelas atau dapat disebut juga dengan Classroom Action Reserch. Pengumpulan subjek pada penelitian ini menggunakan teknik purposive sampling di kelas X. Penelitian dilakukan dalam dua siklus tindakan. Metode pengumpulan data pada penelitian menggunakan lembar observasi, dokumentasi dan catatan lapangan. Sedangkan instrumen menggunakan lembar observasi keaktifan belajar peserta didik. Dan Analisis data menggunakan deskriptif kuantitatif. Hasil dari penelitian menunjukkan bahwa: (1) Tingkat keaktifan belajar siswa dalam pembelajaran kerajaan Islam pada pra tindakan 31% dengan kategori rendah, meningkat pada siklus I dengan menggunakan metode think-pair-share 62% dengan kategori sedang, dan pada siklus II meningkat dengan metode think-pair- share sebesar 81% dengan kategori tinggi. (2) Keaktifan belajar siswa sebelum penerapan metode think-pair-share sebesar 31% meningkat pada siklus I dengan penerapan metode think-pair-share sebesar 31% menjadi 62%, pada siklus II terjadi peningkatan kembali sebesar 19% dimana keaktifan siswa pada siklus II menjadi 81%.
Implementation of Personal Selling and Direct Marketing in Increasing Sales Turnover at Agency Centre HNI Cianjur
Authors: Hegiarto Aldy Santo , Sapitri Rani 
Published: May 2024

Marketing strategy is one of the company's tools for achieving marketing goals. Many marketing strategies that can be used, but whether these strategies are appropriate and effective for increasing sales turnover or not. This research aims to determine the effectiveness of implementing personal selling and direct marketing strategies in increasing sales turnover at the AC HNI Cianjur. The data used in this research are primary data and secondary data, with data collection techniques through interviews, observation and documentation. Meanwhile, this type of research uses a qualitative approach, with descriptive data analysis techniques. The results of this research are that direct marketing strategies are more effective in increasing sales turnover, but it turns out that personal selling also plays an active role in obtaining this turnover. It turns out that in this research there are aspects that show that apart from personal selling and direct marketing, there are many ways and strategies to increase sales turnover, but in this research, the researchers only focused on personal selling and direct marketing strategies.
Experience in the Use of Surgical Access to the Distal Part of the Radius in Comminuted Intra-articular Fractures
Authors: Antoniadi Yu. V. , Gordienko I. I. , Gilev M. V. , Dmitrieva E. G. 
Published: May 2024

Introduction. Fractures of the distal radius occupy a leading place in the general structure of limb injuries. In most cases, they are comminuted in nature and require open reduction and ﬁxation. With traditional surgical approaches to the distal radius, there is a risk of injury to the tendons of the muscles of the anterior group of the forearm and the median nerve; in addition, the skin incision lines pass through the projection of the gap of the wrist joint, which leads to the formation of painful scars and diﬃculty moving in the early postoperative period.The purpose of the work is to evaluate the results of using a new surgical approach to the distal radius for the treatment of comminuted intra-articular fractures.Materials and methods. A retrospective analysis of the results of surgical treatment of 124 patients aged 19 to 78 years with a fracture of the distal radius for the period from 2015 to 2019 was carried out. A patient with a fracture of the distal epimetaphysis of the radius, Fernandez type III, underwent surgery through the proposed approach.Results. Aﬅer transosseous osteosynthesis with a distraction external ﬁxation device, on the sixth day, open reduction, bone graﬅing and plate osteosynthesis were performed through the proposed approach. Restoration of congruence of the articular surfaces of the wrist joint has been achieved. In the early postoperative period, movement in the joint is free, discomfort during the rehabilitation program is minimal. Aﬅer 12 months, movements in the joint are fully realized.Discussion. The new access makes it possible to improve the conditions for operations on the distal part of the radius with its fractures, creates a suﬃciently spacious and safe access to the radius, which allows you to preserve the muscular part of the square pronator and does not violate the anatomy of the synovial sheaths of the tendons of the muscles of the anterior forearm group, which is prevention of the development of deﬁciency of rotational movements of the forearm and contractures of the hand and ﬁngers in early and late postoperative periods.Conclusion. The developed new surgical approach to the distal radius provides optimalvisualization of the fracture andis low-traumatic, which has a positive eﬀect on restoring full range of motionin the wrist jointin the early stages aﬅer surgery.