Pub Date : 2022-04-05DOI: 10.53759/5181/jebi202202007
Vita Kogan, Morley Maria
Material Requirements Planning (MRP) refers to a system of management practices where production planning is integrated with inventory control. According to this paper, we have been able to make significant progress toward a revised Manufacturing Resource Planning (MRP II) system. During the application of the MRP II database, it was also considered how much dataset might be obtained using reports. MRP II database creation in MS Access software is covered in steps 1 and step 2 of this research article. This paper refers to the MS Access software to create a database that incorporates the theoretical knowledge and suggested a custom MRP II solution. In this paper, a three-step technique as a research methodology to formulate and apply a customized MRP II model was used. For the creation of a custom MRP II system database, this paper employed the MS access application over other commercially known software. With MRP's core idea, we should be able to schedule just what materials are required and when. The relevant literature has also put significant emphasis on technical issues, e.g., the ineffectiveness of MRP frameworks for optimization of the internal workflow.
{"title":"A Development and Implementation of Manufacturing Resource Planning System for Small and Medium Enterprises","authors":"Vita Kogan, Morley Maria","doi":"10.53759/5181/jebi202202007","DOIUrl":"https://doi.org/10.53759/5181/jebi202202007","url":null,"abstract":"Material Requirements Planning (MRP) refers to a system of management practices where production planning\u0000is integrated with inventory control. According to this paper, we have been able to make significant progress toward a\u0000revised Manufacturing Resource Planning (MRP II) system. During the application of the MRP II database, it was also\u0000considered how much dataset might be obtained using reports. MRP II database creation in MS Access software is covered\u0000in steps 1 and step 2 of this research article. This paper refers to the MS Access software to create a database that\u0000incorporates the theoretical knowledge and suggested a custom MRP II solution. In this paper, a three-step technique as a\u0000research methodology to formulate and apply a customized MRP II model was used. For the creation of a custom MRP II\u0000system database, this paper employed the MS access application over other commercially known software. With MRP's\u0000core idea, we should be able to schedule just what materials are required and when. The relevant literature has also put\u0000significant emphasis on technical issues, e.g., the ineffectiveness of MRP frameworks for optimization of the internal\u0000workflow.","PeriodicalId":309328,"journal":{"name":"Journal of Enterprise and Business Intelligence","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131971994","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 : 2022-04-05DOI: 10.53759/5181/jebi202202011
K. K
Customer-Centred Supply Chain Management (CCSCM) combines the concept of marketing with Supply Chain Management (SCM) and Demand Chain Management (DCM). SCM is a term used to describe how companies and locations coordinate the movement of products and services, while DCM refers to the control of interactions between consumers and suppliers to provide the most value to the consumer at the lowest cost to the DCM as a whole. This research examines the advantages of both marketing and SCM. Second, it illustrates how DCM may leverage marketing and SCM skills to address the problems of presenting customer value in the modern marketplace; and third, it presents a conceptual framework for DCM with recommendations for more research into the objectives of marketing in the field of DCM. The findings of our discovery-oriented validating focus groups and co-development workshop are compared to those of our literature review. The few current works on DCM will be addressed and the concept will be presented in this research paper. Recent discussions in Supply Chain Management (SCM) have focused on whether the supply chain is "lean" or "agile".
{"title":"A Conceptual Analysis of Supply, Marketing and Demand Chain Management","authors":"K. K","doi":"10.53759/5181/jebi202202011","DOIUrl":"https://doi.org/10.53759/5181/jebi202202011","url":null,"abstract":"Customer-Centred Supply Chain Management (CCSCM) combines the concept of marketing with Supply\u0000Chain Management (SCM) and Demand Chain Management (DCM). SCM is a term used to describe how companies and\u0000locations coordinate the movement of products and services, while DCM refers to the control of interactions between\u0000consumers and suppliers to provide the most value to the consumer at the lowest cost to the DCM as a whole. This research\u0000examines the advantages of both marketing and SCM. Second, it illustrates how DCM may leverage marketing and SCM\u0000skills to address the problems of presenting customer value in the modern marketplace; and third, it presents a conceptual\u0000framework for DCM with recommendations for more research into the objectives of marketing in the field of DCM. The\u0000findings of our discovery-oriented validating focus groups and co-development workshop are compared to those of our\u0000literature review. The few current works on DCM will be addressed and the concept will be presented in this research\u0000paper. Recent discussions in Supply Chain Management (SCM) have focused on whether the supply chain is \"lean\" or\u0000\"agile\".","PeriodicalId":309328,"journal":{"name":"Journal of Enterprise and Business Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134405221","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 : 2022-01-05DOI: 10.53759/5181/jebi202202003
N. Ghani
Studies on green technology implementation models are limited. This can be observed through an article search in almost all green technology journals related to transportation management in government agencies. Studies on green technology are widely carried out in private agencies, such as the industry and private businesses, but are less focused on in government agencies. The main objective of this study was to identify green technology implementation models, based on the previous concept papers. In this study, three models were identified and highlighted, namely the KAP Model, the Blueprint 2.0 Framework, and the Green Readiness Framework. This study was performed on the basis of developing a green technology model suitable for government agencies. Future research may focus on the development of a green technology implementation framework in the public sector in Malaysia.
{"title":"Green Technology Implementation Model for Sustainability","authors":"N. Ghani","doi":"10.53759/5181/jebi202202003","DOIUrl":"https://doi.org/10.53759/5181/jebi202202003","url":null,"abstract":"Studies on green technology implementation models are limited. This can be observed through an article search in almost all green technology journals related to transportation management in government agencies. Studies on green technology are widely carried out in private agencies, such as the industry and private businesses, but are less focused on in government agencies. The main objective of this study was to identify green technology implementation models, based on the previous concept papers. In this study, three models were identified and highlighted, namely the KAP Model, the Blueprint 2.0 Framework, and the Green Readiness Framework. This study was performed on the basis of developing a green technology model suitable for government agencies. Future research may focus on the development of a green technology implementation framework in the public sector in Malaysia.","PeriodicalId":309328,"journal":{"name":"Journal of Enterprise and Business Intelligence","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129960784","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 : 2022-01-05DOI: 10.53759/5181/jebi202202005
M. Asim, Huey Fang Pasha
The calculation of the poverty rate in Malaysia is measured based on the Poverty Line Income (PGK). Most recently, in 2019, PGK was reviewed. The reassessment of this measurement is in line with current developments as well as Malaysia's developmenttowards developed countries. But to what extent does the poverty measure using PGK reflect the real state of poverty for a household? To overcome poverty, we need to know who is poor, and in what dimension they are poor.To take these into account, we used the multidimensional poverty index measurement method or Multidimensional Poverty Index (MPI) as one of the alternatives to replace poverty measurement using the income method. This multidimensional poverty measurement is more of a measure to identify "who is poor". Apart from calculating the amount of deficiency experienced by a household, this study also conducts two forms of analysis, namely weightlessMPI analysis and MPI analysis with the same weighting. This study uses primary data obtained from face-to-face interviews on 378 heads of households in Sik District, Kedah, in 2013. Selected respondents are the result of random observations conducted by the National Statistics Department. The findings of the study, when the same weighting value is given for each of the eight dimensions, found that if the poverty line k ≥ 4 is set, 34.66 percent or 131 households are poor in various dimensions. Determining the k ≥ 4 separationline in this weighted analysis does not mean that households are deficient in four dimensions, but that households are deficient by four and more dimensions. The studyfound that the average poverty (A) is 31.36 percent, which means that, among the poor households (131), on average, they suffer from a deficit of 31.36 percent of the total poverty dimension (22 dimensions). MPI, the adjusted poverty rate (Mo), is 0.1086, which means that the depth of poor households from the set separation line is 10.86 percent or 11 out of 100 depths or in other words the depth of poverty of households experiencing a deficit from the overall shortfall is 10.86 percent.
{"title":"Measuring Multidimency Poverty Method","authors":"M. Asim, Huey Fang Pasha","doi":"10.53759/5181/jebi202202005","DOIUrl":"https://doi.org/10.53759/5181/jebi202202005","url":null,"abstract":"The calculation of the poverty rate in Malaysia is measured based on the Poverty Line Income (PGK). Most recently, in 2019, PGK was reviewed. The reassessment of this measurement is in line with current developments as well as Malaysia's developmenttowards developed countries. But to what extent does the poverty measure using PGK reflect the real state of poverty for a household? To overcome poverty, we need to know who is poor, and in what dimension they are poor.To take these into account, we used the multidimensional poverty index measurement method or Multidimensional Poverty Index (MPI) as one of the alternatives to replace poverty measurement using the income method. This multidimensional poverty measurement is more of a measure to identify \"who is poor\". Apart from calculating the amount of deficiency experienced by a household, this study also conducts two forms of analysis, namely weightlessMPI analysis and MPI analysis with the same weighting. This study uses primary data obtained from face-to-face interviews on 378 heads of households in Sik District, Kedah, in 2013. Selected respondents are the result of random observations conducted by the National Statistics Department. The findings of the study, when the same weighting value is given for each of the eight dimensions, found that if the poverty line k ≥ 4 is set, 34.66 percent or 131 households are poor in various dimensions. Determining the k ≥ 4 separationline in this weighted analysis does not mean that households are deficient in four dimensions, but that households are deficient by four and more dimensions. The studyfound that the average poverty (A) is 31.36 percent, which means that, among the poor households (131), on average, they suffer from a deficit of 31.36 percent of the total poverty dimension (22 dimensions). MPI, the adjusted poverty rate (Mo), is 0.1086, which means that the depth of poor households from the set separation line is 10.86 percent or 11 out of 100 depths or in other words the depth of poverty of households experiencing a deficit from the overall shortfall is 10.86 percent.","PeriodicalId":309328,"journal":{"name":"Journal of Enterprise and Business Intelligence","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129971263","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 : 2022-01-05DOI: 10.53759/5181/jebi202202002
Nur Awatif Ruslan
Renewable and non-renewable sources are crucial especially in the production of electricity. In Malaysia, we are mainly using fossil fuels to generate electricity. To ensure a sufficient amount of energy sources, we require to import these energy supplies. Since Malaysia has a large amount of petroleum and crude oil, we need to export the resources and indirectly, it can contribute by increasing our country's income. Thus, the main purpose of this study is to explore any significant impact of import and export of energy on the total electricity generation in Malaysia. All of the data are taken from the Energy Commission (Malaysia). Range from 1980 until 2017 every year. Ordinary least square (OLS) and correlation analysis have been implemented to achieve the objectives of our study. The energy supply was found to be significant with the total electricity generation exclude the export of crude oil which shows it is insignificant. Then, our findings proved that the highest correlation is between the import of petroleum and import of coal. On the contrary, the import of crude oil is the lowest negatively correlated to the export of crude oil. For the K-S test, it justified that the residuals are normally distributed. Our results confirm the energy supply influences either in a positive or negative impact on the total production of electricity in Malaysia.
{"title":"Impact of Import and Export of Energy Supply on the Total Electricity Generation Model","authors":"Nur Awatif Ruslan","doi":"10.53759/5181/jebi202202002","DOIUrl":"https://doi.org/10.53759/5181/jebi202202002","url":null,"abstract":"Renewable and non-renewable sources are crucial especially in the production of electricity. In Malaysia, we are mainly using fossil fuels to generate electricity. To ensure a sufficient amount of energy sources, we require to import these energy supplies. Since Malaysia has a large amount of petroleum and crude oil, we need to export the resources and indirectly, it can contribute by increasing our country's income. Thus, the main purpose of this study is to explore any significant impact of import and export of energy on the total electricity generation in Malaysia. All of the data are taken from the Energy Commission (Malaysia). Range from 1980 until 2017 every year. Ordinary least square (OLS) and correlation analysis have been implemented to achieve the objectives of our study. The energy supply was found to be significant with the total electricity generation exclude the export of crude oil which shows it is insignificant. Then, our findings proved that the highest correlation is between the import of petroleum and import of coal. On the contrary, the import of crude oil is the lowest negatively correlated to the export of crude oil. For the K-S test, it justified that the residuals are normally distributed. Our results confirm the energy supply influences either in a positive or negative impact on the total production of electricity in Malaysia.","PeriodicalId":309328,"journal":{"name":"Journal of Enterprise and Business Intelligence","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114284929","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 : 2022-01-05DOI: 10.53759/5181/jebi202202004
N. Idris
Urbanization is heavily influenced by the transportation that becomes fundamental to the mobility of human activities. However, unchecked growth in transportation raises serious concerns about many issues such as congestions, limited parking, and public transit problem. This phenomenon also overwhelms Kuala Lumpur, the capital city of Malaysia that has a high number of car ownership. Consequently, traffic congestion in urban area has affected people living there in terms of lost time on the road and waste of fuel consumption. In this regard, this research aims to minimize the congestion index and mode share in Kuala Lumpur based on the tested of six travel demand strategy variables. The problem was model and optimized using system dynamics (SD) optimization approach. Results of the developed SD optimization model shows that the optimized congestion index is 0.89863 while the mode share is 52.87% in 2030 compared to SD baserun which are only 1.1021 and 21.7% for congestion index and mode share respectively. This finding shows that SD optimization performed a better result in terms of achieving the targeted of congestion index and mode share of < 0.6 and 50% by 2030 compared to SD baserun. From the managerial perspective, this research helps towards achieving the government’s congestion index and mode share targets through strategizing the ways on attracting public transportation and discouraging the usage of private cars in Kuala Lumpur.
{"title":"Minimizing the Congestion Index and Mode Share of Traffic Congestion in Urban Area","authors":"N. Idris","doi":"10.53759/5181/jebi202202004","DOIUrl":"https://doi.org/10.53759/5181/jebi202202004","url":null,"abstract":"Urbanization is heavily influenced by the transportation that becomes fundamental to the mobility of human activities. However, unchecked growth in transportation raises serious concerns about many issues such as congestions, limited parking, and public transit problem. This phenomenon also overwhelms Kuala Lumpur, the capital city of Malaysia that has a high number of car ownership. Consequently, traffic congestion in urban area has affected people living there in terms of lost time on the road and waste of fuel consumption. In this regard, this research aims to minimize the congestion index and mode share in Kuala Lumpur based on the tested of six travel demand strategy variables. The problem was model and optimized using system dynamics (SD) optimization approach. Results of the developed SD optimization model shows that the optimized congestion index is 0.89863 while the mode share is 52.87% in 2030 compared to SD baserun which are only 1.1021 and 21.7% for congestion index and mode share respectively. This finding shows that SD optimization performed a better result in terms of achieving the targeted of congestion index and mode share of < 0.6 and 50% by 2030 compared to SD baserun. From the managerial perspective, this research helps towards achieving the government’s congestion index and mode share targets through strategizing the ways on attracting public transportation and discouraging the usage of private cars in Kuala Lumpur.","PeriodicalId":309328,"journal":{"name":"Journal of Enterprise and Business Intelligence","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133552466","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 : 2022-01-05DOI: 10.53759/5181/jebi202202006
Seow chee Hsin, H. Meng
Many previously conducted empirical studies have displayed mixed findings about the influence of internal factors within an organization on the management of risk among construction companies. Hence, there is a need for introducing a moderating variable to this field of study. The aim of this research was to confirm whether coercive pressure plays a significant role in the relationship between the management of risk in construction and factors within the organization. Therefore, this study examined the influence that internal organizational factors and coercive pressure have on the management of construction risk through the lens of discouragement and organizational control theory, and institutional theory. Data were collected through the distribution of questionnaires involving 165 workers working in the Malaysian Peninsular construction companies, and the analysis was performed by means of partial least squares structural equation modelling. Results revealed a positively significant connection between internal organizational factors and the management of construction risk. Also, coercive pressure and the management of construction risk has a positively significant relationship. Coercive pressure mediated the connection that organizational internal factors had with the management of construction risk. A discussion of the research implications was done from the point of view of Malaysia. In conclusion, the reduction of risk incidents in the process of carrying out construction activities is being facilitated by active leadership and organizational culture. In addition, the rate and period at which accidents occur during and after the completion of construction activities are reduced by coercive pressure. In the same way, some influential internal factors of organizations as well as the introduced coercive pressure in the process of managing construction risk have established that many construction companies that apply the necessary internal factors as well as the coercive pressure introduced by the government are able to make delivery of their construction task at the specified cost, time, and qualities, thus establishing them as the correct standard for measuring a well-constructed project.
{"title":"Analysis of Organizational Internal Factors Influencing Construction Risk Management in Construction Industries","authors":"Seow chee Hsin, H. Meng","doi":"10.53759/5181/jebi202202006","DOIUrl":"https://doi.org/10.53759/5181/jebi202202006","url":null,"abstract":"Many previously conducted empirical studies have displayed mixed findings about the influence of internal factors within an organization on the management of risk among construction companies. Hence, there is a need for introducing a moderating variable to this field of study. The aim of this research was to confirm whether coercive pressure plays a significant role in the relationship between the management of risk in construction and factors within the organization. Therefore, this study examined the influence that internal organizational factors and coercive pressure have on the management of construction risk through the lens of discouragement and organizational control theory, and institutional theory. Data were collected through the distribution of questionnaires involving 165 workers working in the Malaysian Peninsular construction companies, and the analysis was performed by means of partial least squares structural equation modelling. Results revealed a positively significant connection between internal organizational factors and the management of construction risk. Also, coercive pressure and the management of construction risk has a positively significant relationship. Coercive pressure mediated the connection that organizational internal factors had with the management of construction risk. A discussion of the research implications was done from the point of view of Malaysia. In conclusion, the reduction of risk incidents in the process of carrying out construction activities is being facilitated by active leadership and organizational culture. In addition, the rate and period at which accidents occur during and after the completion of construction activities are reduced by coercive pressure. In the same way, some influential internal factors of organizations as well as the introduced coercive pressure in the process of managing construction risk have established that many construction companies that apply the necessary internal factors as well as the coercive pressure introduced by the government are able to make delivery of their construction task at the specified cost, time, and qualities, thus establishing them as the correct standard for measuring a well-constructed project.","PeriodicalId":309328,"journal":{"name":"Journal of Enterprise and Business Intelligence","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132420633","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 : 2021-10-05DOI: 10.53759/5181/jebi202101019
M. Asim, Huey Fang Pasha
The current study considers the existence of relationships of association and influence between the overall quality management and MRP system. It happens by surveying (70) employees of Royal Color company in Sulaimaniyah. It has relied on several statistical means to study the relations between these two variables within a comprehensive framework. The research discusses whether or not there are a correlation and effect between the overall quality management and MRP system through the use of a Spearman correlation coefficient. The study has provided numeral inferences. The most essential is an important positive association among the overall quality management and MRP system. Such investigation also made a series of references consistent with those proposals.
{"title":"Analysis of Total Quality Management to Promoting the Application of MRP System","authors":"M. Asim, Huey Fang Pasha","doi":"10.53759/5181/jebi202101019","DOIUrl":"https://doi.org/10.53759/5181/jebi202101019","url":null,"abstract":"The current study considers the existence of relationships of association and influence between the overall quality management and MRP system. It happens by surveying (70) employees of Royal Color company in Sulaimaniyah. It has relied on several statistical means to study the relations between these two variables within a comprehensive framework. The research discusses whether or not there are a correlation and effect between the overall quality management and MRP system through the use of a Spearman correlation coefficient. The study has provided numeral inferences. The most essential is an important positive association among the overall quality management and MRP system. Such investigation also made a series of references consistent with those proposals.","PeriodicalId":309328,"journal":{"name":"Journal of Enterprise and Business Intelligence","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123490157","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 : 2021-10-05DOI: 10.53759/5181/jebi202101020
Soon Lay Ki
The study examines the impact of oil prices on inflation by applying a threshold model for five (5) ASEAN members, namely Malaysia, Indonesia, Singapore, Thailand and the Philippines. Three (3) indicators for oil price shocks are extracted in conjunction with Mork [23], Lee et al. [22] and Hamilton [13] methods. Consequently, these values are used to delineate the effect of price shock differentials. The pass-through effect is integrated into the threshold equation model. Later, the model is calculated to have an impact on inflation of high and low oil prices. The result is that the oil price shock appears to have a major impact on inflation when prices are in the high regime. This extends to all shock measures. The effective exchange rate and industrial price index (IHP) are classified as the primary determinant of inflation in all sample countries. As such, counter-cyclical monetary policy considerations should remain driven by the emerging downside risks of oil price shocks. It requires a more accommodative monetary environment to offset inflationary pressures on the domestic economy.
该研究通过对五个东盟成员国，即马来西亚、印度尼西亚、新加坡、泰国和菲律宾应用阈值模型，考察了油价对通货膨胀的影响。本文结合Mork[23]、Lee et al.[22]和Hamilton[13]方法提取了三(3)个油价冲击指标。因此，这些值被用来描述价格冲击差异的影响。将传递效应集成到阈值方程模型中。然后，计算该模型对高油价和低油价对通货膨胀的影响。其结果是，当油价处于高位时，油价冲击似乎对通胀产生了重大影响。这适用于所有的防震措施。在所有样本国家中，有效汇率和工业价格指数(IHP)被归类为通货膨胀的主要决定因素。因此，反周期货币政策的考虑应继续受到油价冲击带来的下行风险的驱动。这需要一个更宽松的货币环境，以抵消国内经济的通胀压力。
{"title":"A Dynamic Analysis of Oil Prices and Inflation Model and Method","authors":"Soon Lay Ki","doi":"10.53759/5181/jebi202101020","DOIUrl":"https://doi.org/10.53759/5181/jebi202101020","url":null,"abstract":"The study examines the impact of oil prices on inflation by applying a threshold model for five (5) ASEAN members, namely Malaysia, Indonesia, Singapore, Thailand and the Philippines. Three (3) indicators for oil price shocks are extracted in conjunction with Mork [23], Lee et al. [22] and Hamilton [13] methods. Consequently, these values are used to delineate the effect of price shock differentials. The pass-through effect is integrated into the threshold equation model. Later, the model is calculated to have an impact on inflation of high and low oil prices. The result is that the oil price shock appears to have a major impact on inflation when prices are in the high regime. This extends to all shock measures. The effective exchange rate and industrial price index (IHP) are classified as the primary determinant of inflation in all sample countries. As such, counter-cyclical monetary policy considerations should remain driven by the emerging downside risks of oil price shocks. It requires a more accommodative monetary environment to offset inflationary pressures on the domestic economy.","PeriodicalId":309328,"journal":{"name":"Journal of Enterprise and Business Intelligence","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128528677","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 : 2021-10-05DOI: 10.53759/5181/jebi202101022
Elektrotechnik Berg
Moving holiday electricity load demand forecasting is one of the most challenging topics in the forecasting area. Forecasting electricity load demand is essential because it involves projecting the peak demand level. Overestimation of future loads results in excess supply. Wastage of this load is not welcome by the international energy network. An underestimation of load leads to failure in providing adequate reserve, implying high costs. Many factors can influence the electricity load demand, such as previous load demand, type of the day, coincidence with other holidays and the impact of major events. Hence, 12 independent variables were considered in constructing the regression model to forecast moving holiday electricity load demand. This study investigates Malaysia’s daily electricity load demand data using multiple linear regression to forecast electricity load demand on moving holidays, such as Hari Raya AidilFitri, Chinese New Year, Hari Raya AidilAdha, and Deepavali from September 2016 to October 2017. The result shows six independent variables are significant from the several method variables selections. Overall, the constructed models from this study give promising results and can forecast for next year’s moving holiday electricity load demand with a sample forecasting error of 3.7% on the day of the moving holiday.
{"title":"Forecasting Electricity Load Demand- An Power System Planning","authors":"Elektrotechnik Berg","doi":"10.53759/5181/jebi202101022","DOIUrl":"https://doi.org/10.53759/5181/jebi202101022","url":null,"abstract":"Moving holiday electricity load demand forecasting is one of the most challenging topics in the forecasting area. Forecasting electricity load demand is essential because it involves projecting the peak demand level. Overestimation of future loads results in excess supply. Wastage of this load is not welcome by the international energy network. An underestimation of load leads to failure in providing adequate reserve, implying high costs. Many factors can influence the electricity load demand, such as previous load demand, type of the day, coincidence with other holidays and the impact of major events. Hence, 12 independent variables were considered in constructing the regression model to forecast moving holiday electricity load demand. This study investigates Malaysia’s daily electricity load demand data using multiple linear regression to forecast electricity load demand on moving holidays, such as Hari Raya AidilFitri, Chinese New Year, Hari Raya AidilAdha, and Deepavali from September 2016 to October 2017. The result shows six independent variables are significant from the several method variables selections. Overall, the constructed models from this study give promising results and can forecast for next year’s moving holiday electricity load demand with a sample forecasting error of 3.7% on the day of the moving holiday.","PeriodicalId":309328,"journal":{"name":"Journal of Enterprise and Business Intelligence","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129480975","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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