International Journal of Business and Technology Management最新文献_第7页

Operating Models of Construction Businesses 建筑企业的经营模式

International Journal of Business and Technology Management Pub Date : 2023-03-01 DOI: 10.55057/ijbtm.2023.5.1.8

引用次数: 0

Reviewing Public Sector Leadership 检讨公营部门的领导

International Journal of Business and Technology Management Pub Date : 2023-03-01 DOI: 10.55057/ijbtm.2023.5.1.11

引用次数: 0

Impact of Electronic Healthcare Records Usage on Healthcare Professionals’ Performance Among Jordanian Public Sector: A Conceptual Paper 电子医疗记录使用对约旦公共部门医疗保健专业人员绩效的影响:一份概念性文件

International Journal of Business and Technology Management Pub Date : 2023-01-31 DOI: 10.55057/ijbtm.2022.4.4.11

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Investment Project Analysis of Mud Handling Using Slurry Pump Method: A Case Study of Pit C2 PT. Berau Coal 矿浆泵法处理泥浆的投资项目分析——以柏劳煤矿C2坑为例

International Journal of Business and Technology Management Pub Date : 2023-01-31 DOI: 10.55057/ijbtm.2022.4.4.12

{"title":"Investment Project Analysis of Mud Handling Using Slurry Pump Method: A Case Study of Pit C2 PT. Berau Coal","authors":"","doi":"10.55057/ijbtm.2022.4.4.12","DOIUrl":"https://doi.org/10.55057/ijbtm.2022.4.4.12","url":null,"abstract":"Disposal is important in mining activity for allocation of waste material that need to be dispose to obtain the coal ores. The disposal allocation in Pit C2 currently has a long distance and there is an additional cost incurred due to the distance rate adjustment from distance contract reference. To overcome this problem, there is an option of short distance disposal scenario, namely in pit dump scenario. With this scenario, there is cost efficiency from the distance rate adjustment due to the reduction in disposal distance. Sump H as a planned area for in pit dump is currently fulfilled with sedimentation material, with a volume around 1,2 million cubic meters (BCM). Therefore, it is necessary for mud handling in Sump H area for it to become in pit dump location area. One of the proposed scenarios is the use of slurry pump, this scenario is more suitable for current condition due to it can finished earlier. However, it is necessary to study and evaluate further the financial analysis of the proposed scenario in comprehensive manner. To obtain the financial feasibility of this project, this research use capital budgeting analysis in which the parameters used are studied further using sensitivity analysis and probability analysis. From the results of the financial feasibility analysis of this slurry pump scenario, it shows that this project is financially feasible with an NPV value of IDR 16.227.951.215,26, with an IRR of 43,08%, a Payback Period of 1,6 years, a Discounted Payback Period of 1,77 years and a Profitability value Index 1,7. In addition, based on the Monte Carlo Simulation for probability analysis, it is found that the probability of this project failing is 0%. Therefore, it can be concluded from the results of the financial feasibility analysis, this project is recommended to be implemented.","PeriodicalId":253813,"journal":{"name":"International Journal of Business and Technology Management","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115521560","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}

引用次数: 0

E-hailing Utilisation Analysis in Kota Kinabalu City Centre 哥打京那巴鲁市中心的网约车使用率分析

International Journal of Business and Technology Management Pub Date : 2023-01-31 DOI: 10.55057/ijbtm.2022.4.4.5

{"title":"E-hailing Utilisation Analysis in Kota Kinabalu City Centre","authors":"","doi":"10.55057/ijbtm.2022.4.4.5","DOIUrl":"https://doi.org/10.55057/ijbtm.2022.4.4.5","url":null,"abstract":"The prevalence of smartphones and the IoT in today's modern world is only expected to grow. Since its inception, the use of e-hailing apps—which allow users to order a car, taxi, limo, or other modes of transportation via a mobile device—has skyrocketed. Due in large part to the efforts of transportation network businesses, e-hailing services have become a significant driver of economic growth. Many people choose e-hailing services because they provide more privacy and convenience than public transportation. E-hailing services in Kota Kinabalu, Sabah, are analyzed in this study to determine the factors that affect how users see these services. This study's objective was to understand the e-hailing service in Kota Kinabalu, Sabah. The Stated Preference Survey (SPS) method was used in this study. In order to gather the necessary data, an online questionnaire was created and sent out to 300 participants. The data were analyzed using descriptive statistics and Spearman's Correlation. Price value and perceived safety when utilizing e-hailing services were shown to have significant correlations of rs=.161 (p≤0.05) and rs =.118 (p≤0.05), respectively. As a result, e-hailing businesses should advertise the affordability and security of their services.","PeriodicalId":253813,"journal":{"name":"International Journal of Business and Technology Management","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121319405","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}

引用次数: 0

Loan Default Prediction in Microfinance Group Lending with Machine Learning 基于机器学习的小额信贷群体贷款违约预测

International Journal of Business and Technology Management Pub Date : 2023-01-31 DOI: 10.55057/ijbtm.2022.4.4.8

{"title":"Loan Default Prediction in Microfinance Group Lending with Machine Learning","authors":"","doi":"10.55057/ijbtm.2022.4.4.8","DOIUrl":"https://doi.org/10.55057/ijbtm.2022.4.4.8","url":null,"abstract":"Microfinance fintech enables the unbanked and underbanked communities to access credit by offering small, no collateral loans. Microfinance institutions (MFI) usually use credit scoring to filter out risky borrowers. Credit scoring method for individual loans has been widely studied. However, none are for group lending where members are women micro-entrepreneurs in a developing country, and jointly responsible for loan repayment. This research try to build a credit default prediction model for microfinance group lending using machine learning techniques. We examine six different machine learning methods, including XGBoost, logistic regression, linear discriminant analysis (LDA), decision trees, k-nearest neighbour (KNN) and random forest. The XGBoost model performs the best during the first modeling phase. With an accuracy of 0.97 and an AUC score of 0.85, it performs better than other models. Decision tree and random forest give comparable outcomes, with AUCs of 0.81 and 0.80 and accuracies of 0.81, 0.95, and 0.97. In an effort to increase performance, class balancing is performed. The XGBoost model's performance was successfully enhanced, resulting in an increase in AUC from 0.85 to 0.89. Its accuracy stays the same as 0.97. False positive and false negative rates for this model are both low (2.05% and 1.38%, respectively). Consequently, the model has been effectively developed and is capable of differentiating between bad and good loans.","PeriodicalId":253813,"journal":{"name":"International Journal of Business and Technology Management","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133530503","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}

引用次数: 0

Proposed Solution of Operational Strategy to Improve Coal Production: A Case Study of Sambarata Mine Operation 提高煤炭产量的经营战略对策研究——以桑巴拉塔煤矿为例

International Journal of Business and Technology Management Pub Date : 2023-01-31 DOI: 10.55057/ijbtm.2022.4.4.9

{"title":"Proposed Solution of Operational Strategy to Improve Coal Production: A Case Study of Sambarata Mine Operation","authors":"","doi":"10.55057/ijbtm.2022.4.4.9","DOIUrl":"https://doi.org/10.55057/ijbtm.2022.4.4.9","url":null,"abstract":"PT. Berau Coal is one of the largest coal companies in Indonesia and Sambarata Mine Operation (SMO) is one of the concession areas of PT. Berau Coal. In 2022, the government approved Annual Work Plan and Budget (RKAB) for company’s coal production of 33,000,000 tons However, based on production parameters, Berau Coal is only able to accommodate as much as 26,000,000 tons. The purpose of this study is to identify and analyze operational strategies that could impact coal production in the Sambarata Mine Operation with the current production parameter plan, that suitable for current and future conditions, and determine the implementation plan and strategy performance indicator of the strategy. According to external research analysis, coal prices will remain high in 2022, the global economic recovery will lead to an increase in coal demand, and external parties will have a significant impact on the coal industry. The internal resources of the Sambarata Mine Operation show that there are huge additional coal reserves to improve coal production with support from engineers and contractors. The findings are, the SO and WO strategies are consistent with the economic situation, which predicts that the global economy's recovery will result in high prices and increased demand. The ST and WT strategies are consistent with the global coal industry condition, in which external parties will have a significant impact on the coal industry, requiring PT. Berau Coal must plan for the worst-case scenario. The strategy will be implemented by prioritizing the strategy with the greatest impact on increasing coal production while also being the easiest to implement. In general, the indicator of the strategy's performance will be measured by the actual production in the Sambarata Mine Operation and refer to the actual global economic condition in 2022 and the coal industry demand, especially in the Chinese market.","PeriodicalId":253813,"journal":{"name":"International Journal of Business and Technology Management","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134433266","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}

引用次数: 0

Scrutinizing A Customer Behavior And Perspective of E-Cab Hailing Services 顾客行为与网约车服务视角研究

International Journal of Business and Technology Management Pub Date : 2023-01-31 DOI: 10.55057/ijbtm.2022.4.4.1

引用次数: 0

The Influence of Trust, Benefits Perception and Ease of Use Perceptions of Bukalapak Online Shop Toward Buying Interest Bukalapak网上商店信任、利益感知和易用性感知对购买兴趣的影响

International Journal of Business and Technology Management Pub Date : 2023-01-31 DOI: 10.55057/ijbtm.2022.4.4.10

引用次数: 0

Investment Project Analysis Pit CACD Block 8 Using Discounted Cash Flow (DCF): A Case Study of Pt. Berau Coal 采用贴现现金流(DCF)的ccad 8区块投资项目分析——以柏劳铂煤为例

International Journal of Business and Technology Management Pub Date : 2023-01-31 DOI: 10.55057/ijbtm.2022.4.4.13

{"title":"Investment Project Analysis Pit CACD Block 8 Using Discounted Cash Flow (DCF): A Case Study of Pt. Berau Coal","authors":"","doi":"10.55057/ijbtm.2022.4.4.13","DOIUrl":"https://doi.org/10.55057/ijbtm.2022.4.4.13","url":null,"abstract":"PT Berau Coal which is located in Berau Regency, East Kalimantan Province. Pit C2 Block 8 Binungan Mining Operation Area 2 PT Berau Coal is a coal mining operation area with multi-seam characteristics with a slope of coal seams at intervals of 40 – 60 degrees. The characteristics of coal deposits are one of the considerations in the formation of coal mining designs in collaboration with other disciplines, including geotechnical, hydrology, safety and environment, as well as other aspects. PT Berau Coal faces several challenges, risks and uncertainties such as fluctuations in coal prices, production capacity, mining costs and related legal aspects. Therefore, mining planning and strategy must be carried out carefully until PT Berau Coal's mining permit expires in 2025. Financial assessment must accommodate the risks and uncertainties that exist to overcome the weaknesses of the DCF method. The monte carlo symulation method serves as an alternative for creating dynamic quantitative models for mining projects. In this method, the discounted risk factor is applied directly to variables of uncertain sources, such as coal prices, to improve accuracy. Therefore, evaluating long-term mine planning at PT Berau Coal using scenario analysis and Monte Carlo simulation is useful for making better decisions in production, investment and resource allocation schemes. With the results of a financial evaluation of NPV DCF 38mio USD, NPV Monte Carlo 40mio USD, IRR 51%, PI 4.12, and PBP 2.28 years PT Berau Coal will consider and make a decision whether to continue the project considering several risks or cancel the investment and not continue mining in Pit CACD.","PeriodicalId":253813,"journal":{"name":"International Journal of Business and Technology Management","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130363704","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}

引用次数: 0