{"title":"Business Location and Customer Patronage in the Hotel Industry in Benue State, Nigeria","authors":"A. Faajir, Emmanuel Nyagba","doi":"10.59615/ijie.2.2.60","DOIUrl":"https://doi.org/10.59615/ijie.2.2.60","url":null,"abstract":"This study examined the effect of business location on customer patronage of hotels in Benue State, Nigeria: The study specifically examined the effect of parking space, road network and accessibility and security and safety on customer patronage in the hotel industry in Benue State, Nigeria. The survey design was adopted for the study. The population for this study was 474. This figure consists of 159 tenured staff of 9 hotels selected across the 3 geopolitical zones of the state and 315 customers purposively sampled (35 from each hotel). The study adopted census sampling and 474 questionnaires were administered on entire population. However, only 402 were retrieved and analyzed. Pearson correlation was used to test the hypotheses while multiple regression analysis was employed to test the extent of the effect of independent variables on the dependent variable. Findings of the study revealed that parking space, road network and accessibility and security and safety all have significant effect on customer patronage in the hotel industry in Benue State, Nigeria The study concluded that repeat patronage, customer retention and customer referrals can be achieved through provision of innovative parking space, accessible road network and assured security and safety of guest. The study recommended among others that hotels managers in Benue State should be innovative and aggressive in providing parking space for their customers.","PeriodicalId":31435,"journal":{"name":"International Journal of Innovation in Mechanical Engineering and Advanced Materials","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89246624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Impact of Blockchain Technology and The Internet of Things on the Agile and Sustainable Supply Chain","authors":"H. Nozari, Javid Ghahremani nahr","doi":"10.59615/ijie.2.2.33","DOIUrl":"https://doi.org/10.59615/ijie.2.2.33","url":null,"abstract":"In addition to being a revolutionary technology for all industries, the Internet of Things; has also shown its potential in processes such as supply chain. With the advancement of technology and the emergence of the new era, the challenges of the traditional supply chain that follows a path from top to bottom (suppliers of raw materials to final consumers) are revealed. Also, due to environmental issues and the increasing speed of the changes in the needs of customers in various industries, including the retail industry, which has undergone many changes with the emergence of innovation, the entire path of the supply chain requires the implementation of strategies such as agile and green supply chains and achieving smartness. Therefore, emerging technologies such as The Internet of Things play a significant role in the agility and greenness of the entire retail supply chain. The presence of blockchain technology with decentralized data archiving in supply chain processes based on the Internet of Things guarantees the security of big data and helps in optimal data performance. This helps the agility of supply chain processes. In this chapter, dimensions, components, and key indicators effective in the implementation of an agile smart supply chain based on transformative technologies are examined.","PeriodicalId":31435,"journal":{"name":"International Journal of Innovation in Mechanical Engineering and Advanced Materials","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73649347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An investigation into the benefits of using activity - oriented teaching techniques and strategies to teach Mathematics in lower primary schools in Sierra Leone. (A Case Study of four primary schools in Kenema City, Sierra Leone)","authors":"Mohamed Alpha, L. Koroma","doi":"10.59615/ijie.2.2.54","DOIUrl":"https://doi.org/10.59615/ijie.2.2.54","url":null,"abstract":"An investigation into the benefits of using activity - oriented teaching techniques and strategies to teach Mathematics in lower primary schools has been carried out in Sierra Leone. Four (4) primary schools in the Kenema City were selected for the research work; College Practicing School, Methodist Primary School, The Door International Academy Primary School and St. Paul’s Primary School. The variations in the characteristics in each of the schools selected were meant to provide balanced information and avoid biasness in the data collection process. 160 of class four pupils (40 from each of the Schools) and their Mathematics Teachers were selected for this research work. Stratified Sampling and Simple Random Sampling (SRS) methods were used to select pupils. Questionnaires and interview schedules were carefully designed to solicit information with regard to the appropriate teaching methodology that could be used to teach mathematics in lower primary schools. The results obtained were analyzed in a simplified manner using tables and calculating percentages. It was concluded in this research work that activity method is the best methodology to be used to teach mathematics in the lower primary schools and that the School Authorities should endeavour to make available the necessary teaching and learning materials for the effective teaching of mathematics.","PeriodicalId":31435,"journal":{"name":"International Journal of Innovation in Mechanical Engineering and Advanced Materials","volume":"44 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73763492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Adudu Chiangi Adudu, Emmanuel Lubem Asenge, Philip Dewua
{"title":"Effect of Mentoring on the Growth of Selected Small Scale Businesses in Makurdi Metropolis, Benue State-Nigeria","authors":"Adudu Chiangi Adudu, Emmanuel Lubem Asenge, Philip Dewua","doi":"10.59615/ijie.2.2.1","DOIUrl":"https://doi.org/10.59615/ijie.2.2.1","url":null,"abstract":"Strategies for developing the capabilities of employees are important part of any organization’s overall strategy and source of competitive advantage. This study investigated the effect of mentoring on the growth of selected small scale businesses in Makurdi Metropolis, Benue State. The study specifically examined the effect of career support, psychological support and knowledge transfer on the growth of selected small scale businesses in Makurdi Metropolis. The study adopted a cross-sectional survey design and the population of the study was 152 (owners and employees) of small scale businesses within Makurdi Metropolis. A pilot study was carried out to measure validity and reliability of items on the questionnaire. Data collected from respondents through self-administered questionnaire were analysed using Mean, Standard Deviation and Regression Analysis. Formulated hypotheses were tested with the aid of the Statistical Package for Social Sciences (SPSS 23) software. The study found that career support has significant effect on the growth of small scale businesses (P.019; β=.349); psychological support has significant effect on the growth of small scale businesses (P.000; β=.734) and knowledge transfer has significant effect on the growth of small scale businesses (P.000; β=.516). It recommended amongst others that government should organize mentorship programmes for entrepreneurs and business men to enable them have knowledge about business mentoring and the importance of transferring knowledge to enhance viability and growth of their businesses.","PeriodicalId":31435,"journal":{"name":"International Journal of Innovation in Mechanical Engineering and Advanced Materials","volume":"2013 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73869359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Forecasting Startup Return using Artificial Intelligence Methods and Econometric Models and Portfolio Optimization Using VaR and C-VaR","authors":"Milad Shahvaroughi Farahani, A. Esfahani","doi":"10.59615/ijie.2.1.78","DOIUrl":"https://doi.org/10.59615/ijie.2.1.78","url":null,"abstract":"In this paper, we have tried to study the main role of startups in economy, their characteristics, main goals and etc. The main goal of article is prediction of startup's return using artificial intelligence methods such as genetic algorithm (GA) and artificial neural network (ANN). Some global indices such as S&P500, DJAI, and economic indicators such as 10 years Treasury yield, Wilshire 5000 Total Market Full Cap Index along with some other special indicators in startups like team, idea, timing and etc. are used as input variables. GA is used as feature selection and finding the most important variables. ANN is used as an optimization model and prediction of startup's returns. We used econometric models such as regression analysis. We have estimated Value at risk (VaR) and Conditional Value at risk (C-VAR) for considered portfolios including three startups (public company) such as Dropbox, Inc. (DBX), Scout24 SE (G24.DE) and TIE.AS and optimal portfolio formation. The results show that AI based methods are more powerful in prediction of startup's return. On the other hand, VaR and C-VaR models are very beneficial approach in minimizing risk and maximizing return.","PeriodicalId":31435,"journal":{"name":"International Journal of Innovation in Mechanical Engineering and Advanced Materials","volume":"37 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81593587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ahmed Mancy Mosa, Lubna Abdulrahman Salem, Qais Sahib Banyhussan
{"title":"Treatment of cracking in rigid highway pavements using knowledge-based System","authors":"Ahmed Mancy Mosa, Lubna Abdulrahman Salem, Qais Sahib Banyhussan","doi":"10.59615/ijie.2.1.68","DOIUrl":"https://doi.org/10.59615/ijie.2.1.68","url":null,"abstract":"Highway engineers encounter numerous problems in the quality of rigid pavements; cracking types are the most critical ones. Thus, deciding on appropriate controlling measures represents an essential mission. Normally, cracking problems affect the quality of pavements as well as increase initial cost. Although experts can control and solve these problems by using their tacit knowledge, novice engineers cannot. Transfer of expertise from experts to novices is difficult pavements domain. Therefore, a system which experts could use to share their experience with other engineers both during and after a project is necessary. Without such transfer of expertise and knowledge, novices may repeat mistakes that experts have already learned to avoid. Documentation, classification, and computerization of these problems, their causes, treatments, and preventive actions can be very helpful in controlling and preventing them. This study aims to describe the development of a knowledge-based system that can be used by novice engineers to overcome cracking of rigid pavements. The system can also be used as an instructional tool for prospective highway engineers. In addition, the system can archive and organize raw knowledge from experts to be utilized by engineers who work in this field. Domain experts can use the system to share their experiences. The knowledge includes problems encountered in the domain, their causes, preventive actions, treatments, and their effects, which were presented in a classified format. The knowledge was presented in the form of rules and coded in software by using Visual Basic. The system was tested by different users involved in highway engineering, including experts and novice engineers. The mean values of the overall system evaluation by the four types of users based on the 5-point Likert scale were 4 and 4.5 respectively. These values reflect high level of satisfaction by end-users.","PeriodicalId":31435,"journal":{"name":"International Journal of Innovation in Mechanical Engineering and Advanced Materials","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82243957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Absorption in the wavemaker by Artificial neural networks (ANNs)","authors":"M. Amini, M. Seif","doi":"10.59615/ijie.2.1.1","DOIUrl":"https://doi.org/10.59615/ijie.2.1.1","url":null,"abstract":"Wave-making theories are becoming available, but their applicability is limited to specific ranges of waves and wavemaker types. Machine learning can also be used to discover nonlinear functional relationships. As a result, based on machine learning, this paper proposes a simple and universal framework for generating and absorbing waves.This framework trains neural networks to determine the transfer function between the wavemaker's free-surface elevation and velocity. To increase the generalization ability of neural networks, penalty term and data augmentation techniques based on wave-making mechanisms are introduced, rather than pure data-driven.As a result, once the wavemaker has the target wave profiles in front of it, it can generate waves while also absorbing reflected waves. Analytical solutions are used to validate the simulated wave profiles and wave orbital velocities, demonstrating that the proposed framework is effective at eliminating the re-reflection wave.The validation for generating the solitary wave and the New Year's wave is then performed, indicating that the generated waves agree very well with the desired wave elevation. The proposed framework can help with wavemaker design in the future, and it does not require any complex theoretical derivation.","PeriodicalId":31435,"journal":{"name":"International Journal of Innovation in Mechanical Engineering and Advanced Materials","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76843820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The problem of production-distribution under uncertainty based on Vendor Managed Inventory","authors":"Paria Samadi Parviznejad, Farshid Golzadeh","doi":"10.59615/ijie.2.1.22","DOIUrl":"https://doi.org/10.59615/ijie.2.1.22","url":null,"abstract":"In this paper, a problem of managed inventory by the vendor in the production-distribution supply chain is presented based on the scenario. The main purpose of presenting the model of maximizing producer profit in a three-level supply chain network consisting of various strategic and tactical decisions under uncertainty. Due to the nonlinearity and NP-Hardness of the problem, meta-heuristic genetic algorithms, Whale optimization algorithm and league champions algorithm have been used. The results of problem solving show the high efficiency of meta-heuristic algorithms compared to accurate methods in solving the above model. So that the maximum percentage of relative differences between the methods mentioned with GAMS is less than 1%.Also, by solving the sample problems in larger sizes, it was observed that the league champions algorithm has the highest efficiency in terms of achieving the optimal value of the target function in a shorter time than the other algorithms used, with a useful weight of 0.998.","PeriodicalId":31435,"journal":{"name":"International Journal of Innovation in Mechanical Engineering and Advanced Materials","volume":"48 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86407404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An IoT-based sustainable supply chain framework and blockchain","authors":"Javid Ghahremani-Nahr, A. Aliahmadi, H. Nozari","doi":"10.59615/ijie.2.1.12","DOIUrl":"https://doi.org/10.59615/ijie.2.1.12","url":null,"abstract":"The increasing expansion of the needs of human beings and societies has caused various aspects of human life and societies to face serious challenges and be considered. Supply chain organizations operate in a market in today's global environment that is increasingly complex and dynamic in nature. Stable supply chains are inevitable to meet drastic changes in customer needs. Research has shown that manufacturing companies need to accelerate the shift from focus to sustainability and use technologies such as the Internet of Things (IoT) and blockchain to achieve the organization's goal. In this regard, by expanding the capabilities of the blockchain under the four main areas (1) designing incentive and tokenization mechanisms to promote green consumer behavior; (2) increase visibility throughout the product life cycle; (3) increase system efficiency while reducing development and operating costs; And (4) strengthen the monitoring of sustainability and performance reporting in supply chain networks; it can be seen that the supply chain based on these transformational technologies can play a colorful role in creating stability and a green and efficient supply chain. In this study, the potential opportunities in the IoT to create a sustainable supply chain are discussed. Also, based on this study, a framework has been proposed to show the relationships and effects of the constituent elements of a stable supply chain system based on the Internet of Things and blockchain. The conceptual framework is designed with an emphasis on sustainable development, collaboration and management and can provide a good perspective for implementing a sustainable supply chain based on technology","PeriodicalId":31435,"journal":{"name":"International Journal of Innovation in Mechanical Engineering and Advanced Materials","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81190908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Yazirin, A. Muhammad, J. W. Dika, D. Tsamroh, M. Mudawamah
{"title":"THE EFFECT OF GRAPHENE OXIDE ADDITION ON MAGNETIC PROPERTIES OF IRON OXIDE (FE2O3) NANOPOWDER WITH SINTERING AND NON-SINTERING PROCCES","authors":"C. Yazirin, A. Muhammad, J. W. Dika, D. Tsamroh, M. Mudawamah","doi":"10.22441/ijimeam.v3i3.14038","DOIUrl":"https://doi.org/10.22441/ijimeam.v3i3.14038","url":null,"abstract":"Graphene Oxide is a material that has a thickness of one atom composed of carbon atoms to form a hexagonal lattice and a material that has unique properties, namely mechanical, optical, thermal, and electrical properties. Fe2O3 is a material that has magnetic properties and can be used for various applications such as enzyme separation, drug transport, microwave absorption, photocatalysts, biological applications, biomedicine, metal separation, and magnetic resonance imaging (MRI). In this study, the addition of graphene oxide was carried out using the coprecipitation method on Fe2O3 nanomaterials that had been treated with sintering and non-sintering. The coprecipitation method is the synthesis of inorganic compounds which is based on the deposition of more than one substance together when it passes the saturation point. The purpose of this study was to determine whether the addition of graphene oxide to the Fe2O3 material can increase the magnetic properties of the Fe2O3 material or vice versa. The result was that the sintering treatment on Fe2O3 GO did not have a transforming effect on its magnetic properties, but instead had a changing effect on its magnetic value. However, the magnetic coercivity value of Fe2O3 + GO 700 ºC increased to 0.038 Tesla. Thus, it can be concluded that at a temperature of 700 °C graphene oxide acts as a barrier from external magnetic fields in the opposite direction.","PeriodicalId":31435,"journal":{"name":"International Journal of Innovation in Mechanical Engineering and Advanced Materials","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43628137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}