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    11447 research outputs found

    Navigating the complexities of marketing decision-making in uncertain supply chains: A quantitative exploration

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    Making rational decisions in times of uncertainty is an important capability required of marketing managers. However, choosing the precise quantitative decision-making technique or a combination of such tools usually presents managers with a score of challenges. To lessen this challenge, this single case research demonstrates how the choice of three Bayesian decision models (Laplace criterion, Savage minimax regret, and Hurwicz coefficient of realization) can reduce uncertainty in content marketing, search engine optimization (SEO), and referral marketing decision. We employed the case study approach to enable direct access to the decision-making process of the case organization, and to collect relevant data relating to the three marketing decision variables. Results show that, although the Laplace criterion may not have a direct effect on content marketing decisions, it influences the decision-making process leading to the creation and promotion of content. The Savage minimax regret had a direct bearing on SEO decisionmaking. Hurwicz's coefficient of realization yielded no direct impact on referral marketing but shows the possibility of influencing decision-making processes that led to the development and implementation of referral marketing campaigns. The implications are discussed

    Trends in The Residential and Commercial Property Rental Values in Ikeja Metropolis of Lagos State, Nigeria: A Comparative Analysis

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    Both residential and commercial properties are germane and basic needs of man. While residential properties are needed for man’s occupation and resident, commercial properties are needed for business and commercial purposes. This study is basically set out to compare the developments in leasing or rental values of housing and profitable assets in Ikeja metropolitan axis of Lagos State, Nigeria. The study examined the trends in the rental values of residential and commercial properties in Ikeja from 2009 to 2018 with a view to comparing the trends of the two purposes of property use. The study used questionnaires to collect information from respondents in the area of study while some residents/landlords were selected for the purposes of personal interview. Information retrieved was evaluated via simple percentage and revealed general upward movement in the development of rent payment values of both residential and commercial properties in Ikeja metropolis even though the rate of increase is higher with the commercial properties

    Navigating the complexities of marketing decision-making in uncertain supply chains: A quantitative exploration

    Get PDF
    Making rational decisions in times of uncertainty is an important capability required of marketing managers. However, choosing the precise quantitative decision-making technique or a combination of such tools usually presents managers with a score of challenges. To lessen this challenge, this single case research demonstrates how the choice of three Bayesian decision models (Laplace criterion, Savage minimax regret, and Hurwicz coefficient of realization) can reduce uncertainty in content marketing, search engine optimization (SEO), and referral marketing decision. We employed the case study approach to enable direct access to the decision-making process of the case organization, and to collect relevant data relating to the three marketing decision variables. Results show that, although the Laplace criterion may not have a direct effect on content marketing decisions, it influences the decision-making process leading to the creation and promotion of content. The Savage minimax regret had a direct bearing on SEO decisionmaking. Hurwicz's coefficient of realization yielded no direct impact on referral marketing but shows the possibility of influencing decision-making processes that led to the development and implementation of referral marketing campaigns. The implications are discussed

    NomadicBTS-2: A Network-in-a-Box with Software-Defined Radio and Web-Based App for Multiband Cellular Communication

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    The proliferation of mobile communications technologies has greatly contributed to the development of emerging economies. However, a significant digital divide remains in many remote and hard-to-reach regions due to the high Capital Expenditure (CapEx) and Operating Expenditure (OPEX) of mobile network operators. This study addresses the issue by developing and prototyping a cost-effective, software-defined base station, called NomadicBTS-2, utilizing open-source technologies and the Software-Defined Radio (SDR) paradigm. NomadicBTS-2 incorporates the Universal Software Radio Peripheral (USRP) B200 as the Radio Frequency (RF) hardware front-end. The software backend is built on open-source solutions, including the USRP Hardware Driver (UHD) and services such as OpenBTS, Asterisk, SIPAuthserve, and SMQueue. Additionally, a custom web-based software, NomadicBTS WebApp, was developed to configure and monitor the UHD and software services via a Graphical User Interface (GUI). The system was tested using two mobile stations (MSs) for simplex and duplex communication, while network link quality parameters were evaluated to assess users’ Quality of Experience (QoE). Experimental results demonstrated that, within a pico-cell environment, the link quality is sufficient for call routing and Short Messaging Services (SMS) between user-to-user and network-to-user communications. NomadicBTS-2 presents a robust solution for a Network-in-a-Box, ideal for short-range communication in rural and hard-to-reach areas, emergency response scenarios, and IoT sensor networks. It can also be deployed to alleviate network congestion in existing mobile networks. Furthermore, this prototype offers a viable testbed for teaching and research laboratories to explore advancements in SDR, cognitive radio, and other wireless communication technologies, thus opening new frontiers in wireless communications researc

    TECHNOLOGICAL INNOVATION AND SUSTAINABILITY PRACTICE IN THE EDUCATION SECTOR: A REVIEW OF ONLINE LEARNING AND GAMIFICATION STRATEGIES FOR ENHANCING STUDENT ENGAGEMENT AND LEARNING OUTCOMES

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    This paper delves into the dynamic realms of online learning and gamification, pivotal innovations within the education sector, and aims to foster sustainability practices and improve student engagement and learning outcomes. It embarks on a comprehensive journey through the literature, meticulously examining the definitions, merits, obstacles, and exemplars of these transformative approaches. Online learning, encompassing the digital delivery of educational content via diverse platforms such as websites, mobile apps, and learning management systems, has emerged as a prime player in reshaping pedagogical landscapes. Simultaneously, gamification, hinging on the strategic infusion of game elements such as points, badges, leaderboards, and feedback into educational contexts, emerges as a potent motivator and engagement catalyst. However, this paper also casts a discerning eye on the hurdles and constraints that accompany adopting these methodologies. By synthesizing the collective wisdom of prior research, this paper unveils the novel possibilities and improvements that online learning and gamification bring to education, elucidating their role in advancing sustainability goals and enhancing the educational experience. The synthesis of existing knowledge leads to the formulation of valuable recommendations tailored to educators and researchers aspiring to integrate online learning and gamification strategies into their pedagogical toolbox, invigorating learning environments and propelling education toward a more sustainable and engaging future

    Nanoparticle-Based Remediation and Environmental Cleanup

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    The chapter entitled “Nanoparticle-Based Remediation and Environmental Cleanup” provides a thorough examination of the utilization of designed nanoparticles as effective instruments in mitigating environmental pollution and resolving contamination issues in diverse ecosystems. The chapter commences by providing a definition of nanoparticle-based remediation and emphasizing its importance in augmenting the efficacy of environmental remediation while mitigating the use of resource-intensive techniques. The importance of promptly implementing novel remedial strategies is emphasized, taking into account the constraints associated with conventional methodologies. The chapter also explores different categories of nanoparticles, namely, metallic nanoparticles, metal oxide nanoparticles, carbon-based nanoparticles, and polymer nanoparticles. Each of these categories possesses unique characteristics and finds specific utility in various applications. This section delves into various mechanisms through which nanoparticles can effectively target and eliminate contaminants, with a particular focus on adsorption, absorption, and catalytic destruction. The aim is to highlight the wide array of approaches that nanoparticles employ in order to achieve successful contaminant removal. The chapter presents many practical implementations, such as the remediation of groundwater and soil, the management of air pollution, the purification of water, and the restoration of marine ecosystems. These examples effectively illustrate the wide range of uses and potential of nanoparticles in tackling pollution-related issues. The significance of responsible implementation and mitigation measures is underscored, with a particular emphasis on environmental safety and risk assessment. The chapter examines prospective developments in the field, including developing technology, regulatory factors, and ethical considerations. It underscores the significance of public knowledge and community engagement in influencing the responsible application of nanoparticle-based remediation methods. In summary, the chapter presents a vision for a planet that is cleaner, healthier, and more sustainable. This vision is achieved through the responsible utilization of nanoparticle technologies in environmental cleanup, driven by a dedication to environmental stewardship and adherence to ethical principles

    Microbial biotechnology for bioenergy: general overviews

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    Bioenergy technologies are environment-friendly, renewable, and a clean way of powering the global community. Bioenergy technology is an innovation that improves the quality of life by simply reducing water and air contamination; this also mitigates energy dependence through creation of renewable resources locally. Bioenergy sources include wind, water, geothermal, nuclear power, solar, and natural gases. The most interesting and important part of bioenergy is the environmental benefits as part of a global energy future, which are aided by microorganisms. The future of bioenergy, however, seems bright because recent global information in this field proved that more renewable energy capacity has been fixed globally than new fossil fuel and nuclear capacity combined. As the global population progressively increases, there is an everincreasing demand for clean energy. The only safe answer to this is sustainable energy, which will protect the earth from climate change and make it a good habitat for all living organisms. This chapter provides a general overview to microbial biotechnology for bioenergy, sources, and challenges of bioenergy, role of microorganisms in bioenergy generation, innovations in bioenergy, and the environmental conservation of bioenergy

    HIGHER FRACTIONAL ORDER p-LAPLACIAN BOUNDARY VALUE PROBLEM AT RESONANCE ON AN UNBOUNDED DOMAIN

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    In this work, we use the Ge and Ren extension of Mawhin’s coincidence degree theory to investigate the solvability of the p-Laplacian fractional order boundary value problem of the form (f ( a ( )))¢ p D0+x t ( , ( ), ( ), ( ), ( ), 0 ( )), (0, ), 1 0 2 0 3 0 = a Î +¥ + a- + a- + a- f t x t D + x t D

    Petrophysical analysis to determine the hydrocarbon prospectivity of sands in AA field, Niger Delta

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    Petrophysical analysis is a crucial process in the oil and gas industry. It entails the analysis and interpretation of well logs, fluid samples or core smaples to understand the behaviour of the embedded reservoirs in the subsurface. Three well logs from AA field were provided for this study, but two well data were finally loaded to the workstation due to absence of key well logs (such as gamma ray and density logs) from the third well. The quality control check of the data was done prior to the uploading of data. Delineation of lithologies and identification of hydrocarbon reservoirs were done; the identified reservoirs were correlated across the two wells; and the petrophysical evaluation (such as estimations of shale volume, porosity, permeability and water/hydrocarbon saturation) of the three pay zones (that is, Sand A, B and C) in AA field were done. The porosity of Sands A, B and C varied from 0.27 to 0.28, 0.24 to 0.30 and 0.27. The permeability of Sands A, B and C varied from 1012 to 1314 md, 884 to 1013 md and 692 to 892 md. Meanwhile, the hydrocarbon saturation for Sands A, B and C varied from 1 to 89%, 45 to 80% and 79 to 80%, respectively. It can be concluded that the order of hydrocarbon prospectivity of the reservoir sands correlated across Well AA-1 and Well AA-2 is Sand C > Sand B > Sand A

    I-V response test of 60–150W mono-crystalline solar panel

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    This work investigates the discrepancies in electrical parameters of monocrystalline solar panels between Ago-Iwoye weather conditions and the manufacturer’s specified ideal conditions. Manufacturer’s specifications are typically based on 1,000 W/m2 global solar irradiance, AM 1.5, and 25°C operating temperature, while actual weather conditions at installation sites can vary significantly. Mono-crystalline (single-crystal) silicon solar panels of capacities 60, 80, 100, and 150W were evaluated through current-voltage (I-V) response tests at an installation site in Ago-Iwoye, Nigeria, with solar irradiance exposure from 11 a.m. to 3 p.m. The analysis of I-V and P-V curves revealed a significant reduction in maximum power output by 28.6%, 25.9%, 28.9%, and 19.36%, respectively, compared to the manufacturer’s stated values. This deviation underscores the importance of considering local weather conditions during solar PV projects, and we recommend adding an additional 20%–30% of the total solar panel capacity during installations to account for variations in solar irradiance and operating temperatures, ensuring optimal performance and effective solar power generation in Ago-Iwoye and similar areas

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