Biofidel femur Models with finite elements were developed using a specific segmentation combination with computed tomography and solid modeling tools capable of representing bone physiology and structural behavior. These biofidel Finite Element Models (FEM) are used to evaluate the change in the physiological distribution of stress in the prosthesis femur and to evaluate the new design criteria for biopsy biopsy biopsy biopsy. The proposed belief patterns allowed us to adequately take into account the non-isotropic features of the proximal femoral epiphysis and isotropic behavior in diaphysis to explain the critical changes in stress distribution in a femur resected after the implantation of a traditional articular prosthesis. It has been shown that a wide range of femoral diaphyses is completely protected by rigid prostheses that significantly alter the physiological distribution of stress, which should guarantee healthy growth and bone regeneration.
{"title":"About biological hip joint prostheses and the biomechanical behavior of implanted femur","authors":"R. Aversa, R. Petrescu, A. Apicella, F. Petrescu","doi":"10.14807/ijmp.v12i8.958","DOIUrl":"https://doi.org/10.14807/ijmp.v12i8.958","url":null,"abstract":"Biofidel femur Models with finite elements were developed using a specific segmentation combination with computed tomography and solid modeling tools capable of representing bone physiology and structural behavior. These biofidel Finite Element Models (FEM) are used to evaluate the change in the physiological distribution of stress in the prosthesis femur and to evaluate the new design criteria for biopsy biopsy biopsy biopsy. The proposed belief patterns allowed us to adequately take into account the non-isotropic features of the proximal femoral epiphysis and isotropic behavior in diaphysis to explain the critical changes in stress distribution in a femur resected after the implantation of a traditional articular prosthesis. It has been shown that a wide range of femoral diaphyses is completely protected by rigid prostheses that significantly alter the physiological distribution of stress, which should guarantee healthy growth and bone regeneration.","PeriodicalId":54124,"journal":{"name":"Independent Journal of Management & Production","volume":" ","pages":""},"PeriodicalIF":0.5,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47093213","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}
Pub Date : 2021-12-01DOI: 10.14807/ijmp.v12i8.1510
D. Chiroli, Raíza Conde Coradazi, Fabio Jose Ceron Branco, Y. Kachba, Franciely Velozo Aragão, Fernanda Cavicchioli Zola, S. M. Tebcherani, Tiberio Bruno Rocha E Cruz
Healthcare logistics play an important role in management, being attributed the activities of acquisition, distribution and movement of materials, professionals and patients. This work aims to develop a study, using the healthcare logistics in the movement of patients in the third health region of Paraná, proposing a linear programming problem that will pass through a computational simulation, considering the existing demands and constraints in the system, aiming to optimize the flow of patients from this region. The present study developed four mathematical models, based on demands and constraints followed by linear programming in order to find the best possible solution for the flow of patients from the third health region of the state of Paraná. The study developed reached its goal of optimization, generating an economy in the transportation of patients. Through the analysis of the results, it is concluded that the model that best suits the presented problem is the one of costs minimization, since the one of vehicles presented higher costs. Possibly the model that minimizes the vehicles would bring better results if the vehicles were not outsourced, but of the Ponta Grossa City Hall (PMPG). Was possible to verify the importance of the theme, especially when referring to the flow of patients in the health services due to the lack of studies with this specific approach. Even with the scarcity of data, it is possible to notice the potential for improvements on this patient transport system.
{"title":"Health care logistics: mapping and optimization of patients logistics","authors":"D. Chiroli, Raíza Conde Coradazi, Fabio Jose Ceron Branco, Y. Kachba, Franciely Velozo Aragão, Fernanda Cavicchioli Zola, S. M. Tebcherani, Tiberio Bruno Rocha E Cruz","doi":"10.14807/ijmp.v12i8.1510","DOIUrl":"https://doi.org/10.14807/ijmp.v12i8.1510","url":null,"abstract":"Healthcare logistics play an important role in management, being attributed the activities of acquisition, distribution and movement of materials, professionals and patients. This work aims to develop a study, using the healthcare logistics in the movement of patients in the third health region of Paraná, proposing a linear programming problem that will pass through a computational simulation, considering the existing demands and constraints in the system, aiming to optimize the flow of patients from this region. The present study developed four mathematical models, based on demands and constraints followed by linear programming in order to find the best possible solution for the flow of patients from the third health region of the state of Paraná. The study developed reached its goal of optimization, generating an economy in the transportation of patients. Through the analysis of the results, it is concluded that the model that best suits the presented problem is the one of costs minimization, since the one of vehicles presented higher costs. Possibly the model that minimizes the vehicles would bring better results if the vehicles were not outsourced, but of the Ponta Grossa City Hall (PMPG). Was possible to verify the importance of the theme, especially when referring to the flow of patients in the health services due to the lack of studies with this specific approach. Even with the scarcity of data, it is possible to notice the potential for improvements on this patient transport system.","PeriodicalId":54124,"journal":{"name":"Independent Journal of Management & Production","volume":" ","pages":""},"PeriodicalIF":0.5,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45734330","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}
Pub Date : 2021-12-01DOI: 10.14807/ijmp.v12i8.1502
A. Hamid, Maigana Amsami, Siddiq Balal Ibrahim
The purpose of this study was to examine whether customer gratitude mediates the association between ethical corporate social responsibility and customer loyalty. A cross-sectional survey was adopted. A total of 430 individual customers of retail banks located in some selected towns in north-east region of Nigeria were selected using convenience sampling. Structured questionnaires were used to collect. Descriptive statistics and partial least square structural equation modeling were used in data analysis. Finding showed that ethical corporate social responsibility positively and significantly affected customer loyalty. Also, a positive and significant effect of ethical corporate social responsibility on customer gratitude was observed. Furthermore, it was observed that customer gratitude and customer loyalty are positively associated. Also, customer gratitude mediated between ethical corporate social responsibility and customer loyalty. This study concluded that customer gratitude mediated the influence of ethical corporate social responsibility on customer loyalty. The finding of this study will help managers of Nigerian retail banks to develop ethical corporate social practices which strongly create feelings of gratitude among their banks’ customers in order to take advantage of customers’ gratitude, and eventually cultivate customers’ loyalty.
{"title":"Relationship between ethical corporate social responsibility and customer loyalty: the mediating role of customers’ gratitude","authors":"A. Hamid, Maigana Amsami, Siddiq Balal Ibrahim","doi":"10.14807/ijmp.v12i8.1502","DOIUrl":"https://doi.org/10.14807/ijmp.v12i8.1502","url":null,"abstract":"The purpose of this study was to examine whether customer gratitude mediates the association between ethical corporate social responsibility and customer loyalty. A cross-sectional survey was adopted. A total of 430 individual customers of retail banks located in some selected towns in north-east region of Nigeria were selected using convenience sampling. Structured questionnaires were used to collect. Descriptive statistics and partial least square structural equation modeling were used in data analysis. Finding showed that ethical corporate social responsibility positively and significantly affected customer loyalty. Also, a positive and significant effect of ethical corporate social responsibility on customer gratitude was observed. Furthermore, it was observed that customer gratitude and customer loyalty are positively associated. Also, customer gratitude mediated between ethical corporate social responsibility and customer loyalty. This study concluded that customer gratitude mediated the influence of ethical corporate social responsibility on customer loyalty. The finding of this study will help managers of Nigerian retail banks to develop ethical corporate social practices which strongly create feelings of gratitude among their banks’ customers in order to take advantage of customers’ gratitude, and eventually cultivate customers’ loyalty.","PeriodicalId":54124,"journal":{"name":"Independent Journal of Management & Production","volume":" ","pages":""},"PeriodicalIF":0.5,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45752711","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}
Pub Date : 2021-12-01DOI: 10.14807/ijmp.v12i8.1498
Gilson Rogério Marcomini
World potato production in 2017 was over 388.2 million tons, being the fourth largest in volume in the world, where the highest world producers are China, India, Russia, Ukraine, and the United States. Brazil occupies the 21st position in the ranking of the largest potato producers in the world, with a production volume of 3.6 million tons, with the main producers being the states of Minas Gerais, Paraná, and São Paulo, which together produce the equivalent of 75 % of the Brazilian total. Knowledge about the positioning of the consumer is important for stakeholders in the potato production chain, aiming at the identification of personal factors that influence potato consumption, as well as the recognition of opportunities, seeking to meet the wishes and needs of consumers. Also, it is relevant to check consumer sensitivity to fluctuations in retail prices. Few studies show which personal aspects influence consumers' decision to purchase potatoes, as well as they react to changes in price. Thus, this study sought to identify which personal aspects influence the purchase of potatoes and how the consumer positions himself concerning changes in prices, through the analysis of primary data answered by 170 people in 38 cities of the state of São Paulo. The collected information was processed using electronic spreadsheets in Microsoft Excel software and the analyzes developing using Multiple Linear Regression with Heteroscedasticity (MLR), with the aid of the Stata 15 software. Families with children, with more than two adults in the composition, and age are the personal aspects that influence the acquisition of potatoes. As the potato is a popular product, with easy access and relatively low prices, the levels of education and income do not interfere with consumption, since at times when prices are small the quantity consumed remains unchanged.
{"title":"Is there a price influence and personal characteristics in the potato purchase decision? A descriptive study","authors":"Gilson Rogério Marcomini","doi":"10.14807/ijmp.v12i8.1498","DOIUrl":"https://doi.org/10.14807/ijmp.v12i8.1498","url":null,"abstract":"World potato production in 2017 was over 388.2 million tons, being the fourth largest in volume in the world, where the highest world producers are China, India, Russia, Ukraine, and the United States. Brazil occupies the 21st position in the ranking of the largest potato producers in the world, with a production volume of 3.6 million tons, with the main producers being the states of Minas Gerais, Paraná, and São Paulo, which together produce the equivalent of 75 % of the Brazilian total. Knowledge about the positioning of the consumer is important for stakeholders in the potato production chain, aiming at the identification of personal factors that influence potato consumption, as well as the recognition of opportunities, seeking to meet the wishes and needs of consumers. Also, it is relevant to check consumer sensitivity to fluctuations in retail prices. Few studies show which personal aspects influence consumers' decision to purchase potatoes, as well as they react to changes in price. Thus, this study sought to identify which personal aspects influence the purchase of potatoes and how the consumer positions himself concerning changes in prices, through the analysis of primary data answered by 170 people in 38 cities of the state of São Paulo. The collected information was processed using electronic spreadsheets in Microsoft Excel software and the analyzes developing using Multiple Linear Regression with Heteroscedasticity (MLR), with the aid of the Stata 15 software. Families with children, with more than two adults in the composition, and age are the personal aspects that influence the acquisition of potatoes. As the potato is a popular product, with easy access and relatively low prices, the levels of education and income do not interfere with consumption, since at times when prices are small the quantity consumed remains unchanged.","PeriodicalId":54124,"journal":{"name":"Independent Journal of Management & Production","volume":" ","pages":""},"PeriodicalIF":0.5,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45649255","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}
Pub Date : 2021-12-01DOI: 10.14807/ijmp.v12i8.1490
M. Seyhan, Şemsettin Çiğdem, B. Yıldız, I. Meidutė-Kavaliauskienė
Nowadays, one of the factors that enable businesses to adapt to markets that are constantly renewed and changing due to the ever-increasing flow of information, and perhaps the most important, is innovation. Innovation is a topic that is frequently studied by both markets and academics. However, the increase in the quantity of studies conducted is far from meeting the need in this field. As a result of the shortening of product life cycles in current market conditions, companies are obliged to continuously innovate in order to sustain their existence. Increasing raw material and resource diversification requirement due to the increasing need for innovation made it necessary to examine and understand the supply chain in the context of innovation. The importance of innovation, especially in the case of participation by suppliers in innovation for a competitive advantage, has resulted in many in-depth studies published in research papers in the field. In this study, articles published in the Web of Science database between 1996-2020 and covering the topics of supply chain and innovation were analyzed in order to reveal the patterns of supply chain management and innovation research, identify relative deficiencies and provide some guidelines. For this purpose, a systematic literature review and bibliometric analysis related has been made. It has been possible to determine the effective actors in the field by including the distribution of the concepts in question according to time, countries, universities and journals. In addition, as a result of the keyword analysis, the evolution and open points of the field over time are among the findings of the study.
如今，由于信息流不断增加，企业能够适应不断更新和变化的市场，其中一个因素也许是最重要的，那就是创新。创新是市场和学术界经常研究的一个话题。然而，研究数量的增加远远不能满足这一领域的需要。在当前的市场条件下，由于产品生命周期的缩短，公司必须不断创新以维持其生存。由于对创新的需求不断增加，原材料和资源多样化的要求不断增加，因此有必要在创新的背景下检查和理解供应链。创新的重要性，特别是在供应商参与创新以获得竞争优势的情况下，已经导致该领域的许多深入研究发表在研究论文中。本研究通过对Web of Science数据库1996-2020年间发表的供应链与创新相关论文进行分析，揭示供应链管理与创新研究的模式，找出相关不足，为供应链管理与创新研究提供指导。为此，本文进行了系统的文献综述和文献计量学分析。通过将有关概念按时间、国家、大学和期刊的分布情况包括在内，可以确定该领域的有效行动者。此外，作为关键字分析的结果，该领域随时间的演变和开放点是研究的结果之一。
{"title":"Supply Chain - innovation: past, present, and future","authors":"M. Seyhan, Şemsettin Çiğdem, B. Yıldız, I. Meidutė-Kavaliauskienė","doi":"10.14807/ijmp.v12i8.1490","DOIUrl":"https://doi.org/10.14807/ijmp.v12i8.1490","url":null,"abstract":"Nowadays, one of the factors that enable businesses to adapt to markets that are constantly renewed and changing due to the ever-increasing flow of information, and perhaps the most important, is innovation. Innovation is a topic that is frequently studied by both markets and academics. However, the increase in the quantity of studies conducted is far from meeting the need in this field. As a result of the shortening of product life cycles in current market conditions, companies are obliged to continuously innovate in order to sustain their existence. Increasing raw material and resource diversification requirement due to the increasing need for innovation made it necessary to examine and understand the supply chain in the context of innovation. The importance of innovation, especially in the case of participation by suppliers in innovation for a competitive advantage, has resulted in many in-depth studies published in research papers in the field. In this study, articles published in the Web of Science database between 1996-2020 and covering the topics of supply chain and innovation were analyzed in order to reveal the patterns of supply chain management and innovation research, identify relative deficiencies and provide some guidelines. For this purpose, a systematic literature review and bibliometric analysis related has been made. It has been possible to determine the effective actors in the field by including the distribution of the concepts in question according to time, countries, universities and journals. In addition, as a result of the keyword analysis, the evolution and open points of the field over time are among the findings of the study.","PeriodicalId":54124,"journal":{"name":"Independent Journal of Management & Production","volume":" ","pages":""},"PeriodicalIF":0.5,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44248575","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}
Pub Date : 2021-12-01DOI: 10.14807/ijmp.v12i8.1481
Mirele Marques Borges, Cláudio José Müller
The research aimed to investigate the stages of a Machine Learning model process creation in order to predict the indicator over the number of medical appointments per day done in the area of supplementary health in the region of Porto Alegre / RS - Brazil and to propose a metric for anomalies detection. Literature review and applied case study was used as a methodology in this paper, besides was used the statistical software called R, in order to prepare the data and create the model. The stages of the case study was: database extraction, division of the base in training and testing, creation of functions and feature engineering, variables selection and correlation analysis, choice of the algorithms with cross-validation and tuning, training of models, application of the models in the test data, selection of the best model and proposal of the metric for anomalies detection. At the end of these stages, it was possible to select the best model in terms of MAE (Mean Absolute Error), the Random Forest, which was the algorithm with better performance when compared to Linear Regression and Neural Network. It also makes possible to identified nine anomaly points and thirty-eight warning points using the standard deviation metric. It was concluded, through the proposed methodology and the results obtained, that the steps of feature engineering and variables selection were essential for the creation and selection of the model, in addition, the proposed metric achieved the objective of generates alerts in the indicator, showing cases with possible problems or opportunities.
{"title":"Prediction of indicators through machine learning and anomaly detection: a case study in the supplementary health system in Brazil","authors":"Mirele Marques Borges, Cláudio José Müller","doi":"10.14807/ijmp.v12i8.1481","DOIUrl":"https://doi.org/10.14807/ijmp.v12i8.1481","url":null,"abstract":"The research aimed to investigate the stages of a Machine Learning model process creation in order to predict the indicator over the number of medical appointments per day done in the area of supplementary health in the region of Porto Alegre / RS - Brazil and to propose a metric for anomalies detection. Literature review and applied case study was used as a methodology in this paper, besides was used the statistical software called R, in order to prepare the data and create the model. The stages of the case study was: database extraction, division of the base in training and testing, creation of functions and feature engineering, variables selection and correlation analysis, choice of the algorithms with cross-validation and tuning, training of models, application of the models in the test data, selection of the best model and proposal of the metric for anomalies detection. At the end of these stages, it was possible to select the best model in terms of MAE (Mean Absolute Error), the Random Forest, which was the algorithm with better performance when compared to Linear Regression and Neural Network. It also makes possible to identified nine anomaly points and thirty-eight warning points using the standard deviation metric. It was concluded, through the proposed methodology and the results obtained, that the steps of feature engineering and variables selection were essential for the creation and selection of the model, in addition, the proposed metric achieved the objective of generates alerts in the indicator, showing cases with possible problems or opportunities.","PeriodicalId":54124,"journal":{"name":"Independent Journal of Management & Production","volume":" ","pages":""},"PeriodicalIF":0.5,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48703003","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}
Pub Date : 2021-12-01DOI: 10.14807/ijmp.v12i8.1544
H. Wertani, J. Ben Salem, M. Lakhoua
The modelling of systems using systemic tools has been for a few years, a subject which has attracted the attention of scientists and especially researchers to allow designers to acquire a rigorous approach to problem solving using the capabilities of already existing methods and tools. This document presents a contribution in the field of modelling, where a methodology based on two methods has been proposed. The first concerns the functional analysis to extract the use functions and the constraint parameters from the system. In this methodology, the static functional study is carried out using the SADT method. On the other hand, the dynamic behavioral analysis is carried out by the SA-RT method. Then, we used a behavioral and parametric analysis, the Bond Graph method, to observe the evolution of representative quantities of a photovoltaic system.
{"title":"Contribution to the systemic modeling of a photovoltaic devices","authors":"H. Wertani, J. Ben Salem, M. Lakhoua","doi":"10.14807/ijmp.v12i8.1544","DOIUrl":"https://doi.org/10.14807/ijmp.v12i8.1544","url":null,"abstract":"The modelling of systems using systemic tools has been for a few years, a subject which has attracted the attention of scientists and especially researchers to allow designers to acquire a rigorous approach to problem solving using the capabilities of already existing methods and tools. This document presents a contribution in the field of modelling, where a methodology based on two methods has been proposed. The first concerns the functional analysis to extract the use functions and the constraint parameters from the system. In this methodology, the static functional study is carried out using the SADT method. On the other hand, the dynamic behavioral analysis is carried out by the SA-RT method. Then, we used a behavioral and parametric analysis, the Bond Graph method, to observe the evolution of representative quantities of a photovoltaic system.","PeriodicalId":54124,"journal":{"name":"Independent Journal of Management & Production","volume":" ","pages":""},"PeriodicalIF":0.5,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43597116","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}
Pub Date : 2021-12-01DOI: 10.14807/ijmp.v12i8.1491
Srikant Gupta
The advent of COVID-19 has escalated into a pandemic and, as a result of infected cases and human fatalities, it tends to rise day by day across the globe. This also ignited concerns of a looming fiscal slump and recession on the different economic sectors as well. The effect of this pandemic is much more significant in developing countries like India due to the already declining growth rate, inadequate health services, and a growing population residing in severe poverty. This paper attempts to understand the impact of COVID‐19 pandemic on the Indian economic sectors by employing a hierarchical approach, based on multi-criteria analysis to understand the impact on primary, secondary, tertiary and quaternary sectors by concerning the political, economic, socio‐cultural and technology consequences of COVID‐19. A process-based multi-criteria hierarchical approach has been used to determine the effect of the same and has been prioritized in the sequential sequence.
{"title":"COVID-19: a decision-making approach for evaluating the economic sectors of india during pandemic","authors":"Srikant Gupta","doi":"10.14807/ijmp.v12i8.1491","DOIUrl":"https://doi.org/10.14807/ijmp.v12i8.1491","url":null,"abstract":"The advent of COVID-19 has escalated into a pandemic and, as a result of infected cases and human fatalities, it tends to rise day by day across the globe. This also ignited concerns of a looming fiscal slump and recession on the different economic sectors as well. The effect of this pandemic is much more significant in developing countries like India due to the already declining growth rate, inadequate health services, and a growing population residing in severe poverty. This paper attempts to understand the impact of COVID‐19 pandemic on the Indian economic sectors by employing a hierarchical approach, based on multi-criteria analysis to understand the impact on primary, secondary, tertiary and quaternary sectors by concerning the political, economic, socio‐cultural and technology consequences of COVID‐19. A process-based multi-criteria hierarchical approach has been used to determine the effect of the same and has been prioritized in the sequential sequence.","PeriodicalId":54124,"journal":{"name":"Independent Journal of Management & Production","volume":" ","pages":""},"PeriodicalIF":0.5,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46170134","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}
Pub Date : 2021-12-01DOI: 10.14807/ijmp.v12i8.1483
K. Ani, Chigozie Onu
The study investigated the effect of monetary policy on economic growth during post structural adjustment programmer in Nigeria. It used the expo-facto design. Secondary data for the period of 1985-2015 were utilized. The data were extracted from the Central Bank of Nigeria (CBN) Statistical Bulletin and the National Bureau of Statistics (NBS). The linear regression with the application of Ordinary least Squares (OLS) technique was employed to estimate the parameters of the model numerically. Finding revealed that broad money supply had a positive and significant effect on economic growth in Nigeria during post structural adjustment programmer from 1986-2015. Interest rate had a negative and significant effect on economic growth in Nigeria during the same period and inflation rate had a positive and insignificant effect on economic growth in Nigeria at the same time. The study recommended that Central Bank of Nigeria should facilitate the emergence of market based interest rate that would attract both domestic and foreign investments, as well as create jobs, and promote non-oil export, while reviving industries that are currently operational, far below installed capacity. In order to strengthen the financial sector, the Central Bank has to encourage the introduction of more financial instruments that are flexible enough to meet the risk preferences and sophistication of operators in the financial sector.
{"title":"Effect of monetary policy on economic growth in nigeria in the post structural adjustment programme","authors":"K. Ani, Chigozie Onu","doi":"10.14807/ijmp.v12i8.1483","DOIUrl":"https://doi.org/10.14807/ijmp.v12i8.1483","url":null,"abstract":"The study investigated the effect of monetary policy on economic growth during post structural adjustment programmer in Nigeria. It used the expo-facto design. Secondary data for the period of 1985-2015 were utilized. The data were extracted from the Central Bank of Nigeria (CBN) Statistical Bulletin and the National Bureau of Statistics (NBS). The linear regression with the application of Ordinary least Squares (OLS) technique was employed to estimate the parameters of the model numerically. Finding revealed that broad money supply had a positive and significant effect on economic growth in Nigeria during post structural adjustment programmer from 1986-2015. Interest rate had a negative and significant effect on economic growth in Nigeria during the same period and inflation rate had a positive and insignificant effect on economic growth in Nigeria at the same time. The study recommended that Central Bank of Nigeria should facilitate the emergence of market based interest rate that would attract both domestic and foreign investments, as well as create jobs, and promote non-oil export, while reviving industries that are currently operational, far below installed capacity. In order to strengthen the financial sector, the Central Bank has to encourage the introduction of more financial instruments that are flexible enough to meet the risk preferences and sophistication of operators in the financial sector.","PeriodicalId":54124,"journal":{"name":"Independent Journal of Management & Production","volume":" ","pages":""},"PeriodicalIF":0.5,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45026767","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}
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