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Journal articles on the topic 'Budgeting and Forecasting'

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1

Schmidgall, Raymond S., and Agnes L. DeFranco. "Budgeting and Forecasting." Cornell Hotel and Restaurant Administration Quarterly 39, no. 6 (1998): 45–51. http://dx.doi.org/10.1177/001088049803900609.

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2

SCHMIDGALL, R., and A. DEFRANCO. "Budgeting and Forecasting." Cornell Hotel and Restaurant Administration Quarterly 39, no. 6 (1998): 45–51. http://dx.doi.org/10.1016/s0010-8804(99)80005-6.

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3

Іershova, Natalіa. "Accounting and analytical support of budgeting with the purpose of achieving its flexibility and performing a control function in the process of financial forecasting." FINANCIAL AND CREDIT SYSTEMS: PROSPECTS FOR DEVELOPMENT 4, no. 15 (2024): 43–52. https://doi.org/10.26565/2786-4995-2024-4-04.

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In conditions of global instability, the attention of leaders and senior management is focused on forecasting and planning, which expands the horizons of vision of possible prospects and risks. Budgeting is an element of forecasting and requires the use of accounting and analytical information from the company's accounting system. The purpose of the article is to improve accounting and analytical support for budgeting in order to achieve its flexibility and perform a control function in the financial planning process. The object of research is budgeting procedures. The dialectical method of co
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Forrester, John P. "Multi-Year Forecasting and Municipal Budgeting." Public Budgeting Finance 11, no. 2 (1991): 47–61. http://dx.doi.org/10.1111/1540-5850.00901.

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Ramsundernag Changalva. "Predictive Budgeting and Planning with AI in Oracle EPM: Automating Financial Projections." Journal of Electrical Systems 20, no. 11s (2025): 4022–40. https://doi.org/10.52783/jes.8361.

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The integration of Artificial Intelligence (AI) into financial planning processes has revolutionized traditional budgeting and forecasting methodologies. This paper delves into the application of AI-driven predictive models within Oracle's Enterprise Planning and Budgeting Cloud Service (EPBCS) to automate financial projections, thereby fostering dynamic and adaptive budgeting frameworks. Through a comprehensive analysis, we contrast traditional budgeting approaches with AI-enhanced methods, explore the core functionalities and limitations of EPBCS, and examine the implementation of AI-powered
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Njideka Ihuoma Okeke, Oluwaseun Adeola Bakare, and Godwin Ozoemenam Achumie. "Forecasting financial stability in SMEs: A comprehensive analysis of strategic budgeting and revenue management." Open Access Research Journal of Multidisciplinary Studies 8, no. 1 (2024): 139–49. http://dx.doi.org/10.53022/oarjms.2024.8.1.0055.

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Small and medium-sized enterprises (SMEs) are vital contributors to global economies, but they often face unique financial challenges that threaten their long-term stability. This review presents a comprehensive analysis of forecasting financial stability in SMEs, focusing on strategic budgeting and revenue management as key pillars. Strategic budgeting plays a crucial role in aligning financial plans with business goals, managing risks, and adapting to market changes. Techniques such as zero-based budgeting, activity-based budgeting, and rolling budgets offer SMEs flexibility in allocating re
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Thiyagarajan, Vikramrajkumar. "Expectation: AI-Driven Forecasting and Scenario Planning in Planning and Budgeting Cloud Service (PBCS)." International Journal on Recent and Innovation Trends in Computing and Communication 9, no. 12 (2021): 75–85. http://dx.doi.org/10.17762/ijritcc.v9i12.11187.

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This research paper explores the integration of Artificial Intelligence (AI) and Machine Learning (ML) models into Oracle Planning and Budgeting Cloud (PBCS) system to enhance forecasting accuracy and optimize scenario planning. The study investigates how predictive analytics and real-time data processing can be leveraged to automate and improve financial planning processes. Through a comprehensive analysis of current methodologies and emerging AI technologies, this paper aims to bridge the research gap in understanding AI's impact on forecasting reliability, particularly in fluctuating market
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Tanmoy Roy. "Al-Driven Forecasting and Scenario Analysis in Oracle EPM Cloud." Journal of Information Systems Engineering and Management 10, no. 31s (2025): 23–33. https://doi.org/10.52783/jisem.v10i31s.4957.

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This research paper explores the integration of Artificial Intelligence (AI) and Machine Learning (ML) models into Oracle Planning and Budgeting Cloud (PBCS) system to enhance forecasting accuracy and optimize scenario planning. The study investigates how predictive analytics and real-time data processing can be leveraged to automate and improve financial planning processes. Through a comprehensive analysis of current methodologies and emerging AI technologies, this paper aims to bridge the research gap in understanding AI's impact on forecasting reliability, particularly in fluctuating market
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9

Wardhana, Wishnu. "Aplikasi Capital Budgeting dalam Penentuan Keputusan Investasi Kamar dan Ballroom Di Hotel Panorama Lembang." Jurnal Kepariwisataan: Destinasi, Hospitalitas dan Perjalanan 2, no. 1 (2018): 10–20. http://dx.doi.org/10.34013/jk.v2i1.17.

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This research's title is "Applications of Capital Budgeting Method in Feasibility Study of Rooms and Ballroom Investment at Hotel Panorama Lembang", the purpose of this research are to know the feasibility of hotel investment based on financial projection aspect which using Capital Budgeting Method at Hotel Panorama Lembang. The feasibility of investment evaluate by the tools of capital budgeting model, which is have aspect of Discounted Payback Period, Net Present Value, Internal Rate Of Return, and Profitability Index in Hotel Panorama Lembang. The results of this research from the financial
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10

Grobler-Dębska, Katarzyna, Rafał Mularczyk, Bartłomiej Gawęda, and Edyta Kucharska. "Time Series Methods and Business Intelligent Tools for Budget Planning—Case Study." Applied Sciences 15, no. 1 (2024): 287. https://doi.org/10.3390/app15010287.

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Corporate budget planning involves forecasting expenses and revenues to support strategic goals, resource allocation, and supply chain coordination. Regular updates to forecasts and collaboration across organizational levels ensure adaptability to changing business conditions. Long-term sales forecasts form the foundation for budgeting, guiding resource allocation and enhancing financial efficiency. The budgeting process in organizations is complex and requires data from various operational areas, which is collected over a representative period. Key inputs include quantitative sales data, dire
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11

Kiige, Nankya Christine, Mabonga Eric, and Omache Henry. "Effect of Cash Budgeting on Financial Performance of Agribusiness Enterprises in Mbale City: An Empirical Study." INOSR HUMANITIES AND SOCIAL SCIENCES 10, no. 1 (2024): 30–37. http://dx.doi.org/10.59298/inosrhss/2024/101.4.23037.

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This study investigates the impact of cash budgeting on the financial performance of agribusiness enterprises in Mbale City. Through a mixed-method research approach involving 152 enterprises, data was collected via questionnaires and interviews. Descriptive statistics revealed that cash budgeting significantly influences various aspects of financial management within these enterprises. Regression analysis showed that cash budgeting accounts for a substantial 10.1% variation in financial performance. This suggests that while other factors play a role, effective cash budgeting contributes signi
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Kulshrestha, Neha. "Real-Time Expense Tracking and Financial Forecasting Through AI and Machine Learning." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48759.

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Abstract - In the modern financial landscape, predictive analytics and machine learning are revolutionizing personal finance management. This paper explores various machine learning techniques, including deep learning and reinforcement learning, applied to personal finance such as expense tracking, budgeting, and financial forecasting. We review significant advancements in predictive models, real-time tracking systems, and anomaly detection for personal finance. The research incorporates multiple contributions from recent studies on the application of AI and machine learning for smarter financ
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Cordery, I., and AG Graham. "Forecasting wheat yields using a water budgeting model." Australian Journal of Agricultural Research 40, no. 4 (1989): 715. http://dx.doi.org/10.1071/ar9890715.

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A model has been developed to forecast soil water variations and wheat crop growth in dry land situations. The forecast of the yield to be expected if sowing occurred today is obtained by running the calibrated model for all years for which meteorological data are available. The soil water content on today's date in each year is fixed at today's observed soil water value. From each year of observed meteorological data, an estimate is made of the yield. These yield data allow construction of a frequency distribution of yield which can be used to make a probabilistic forecast. The model involves
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14

Plotnick, Robert D., and Russell M. Lidman. "Forecasting Welfare Caseloads: A Tool to Improve Budgeting." Public Budgeting & Finance 7, no. 3 (1987): 70–81. http://dx.doi.org/10.1111/1540-5850.d01-233.

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15

West, Douglas C. "Advertising Budgeting and Sales Forecasting: The Timing Relationship." International Journal of Advertising 14, no. 1 (1995): 65–77. http://dx.doi.org/10.1080/02650487.1995.11104598.

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Anzhela, V. Kulinska, and A. Doskoch Svitlana. "The key aspects of the quantitative approach to forecasting program-targeted budgeting in budget funds management." Economics: time realities. Scientific journal. 4, no. 44 (2019): 65–71. https://doi.org/10.5281/zenodo.3757913.

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Тhe article identifies and systematizes the key aspects of the quantitative approach to forecasting program-targeted budgeting in budget funds management, the hallmark of which is the use of quantitative forecasting and causal modeling methods, which allows at least, minimize or completely eliminate the inconsistency and uncertainty of economic development priorities. According to the results of the analysis, it is recommended, when forecasting program-targeted budgeting in budgetary funds management, as the basis for optimizing financial decentralization, to introduce quantitative methods suc
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17

Orillosa, Sarah Jane, Charlene Mae Acut, Hannah Shaynne Cabante, and Janna Trinidad. "Unraveling the Connection Between Budgeting Practices and Financial Performance of Start-Up Businesses." Psychology and Education: A Multidisciplinary Journal 33, no. 7 (2025): 776–84. https://doi.org/10.70838/pemj.330706.

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Despite the critical role of budgeting in financial planning and control, many businesses, particularly start-up, struggle to establish effective budgeting practices, leading to inconsistent financial performance. This study examined the relationship between budgeting practices and financial performance in start-up businesses. A descriptive-correlational research design was employed, with data collected from 75 start-up owners and managers using stratified random sampling technique. The study assessed the level of budgeting practices, the level of financial performance and the relationship bet
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Orillosa, Sarah Jane, Charlene Mae Acut, Hannah Shaynne Cabante, and Janna Trinidad. "Unraveling the Connection Between Budgeting Practices and Financial Performance of Start-Up Businesses." Psychology and Education: A Multidisciplinary Journal 33, no. 7 (2025): 776–84. https://doi.org/10.70838/pemj.330706.

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Despite the critical role of budgeting in financial planning and control, many businesses, particularly start-up, struggle to establish effective budgeting practices, leading to inconsistent financial performance. This study examined the relationship between budgeting practices and financial performance in start-up businesses. A descriptive-correlational research design was employed, with data collected from 75 start-up owners and managers using stratified random sampling technique. The study assessed the level of budgeting practices, the level of financial performance and the relationship bet
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19

Yao, Yonghong, Jingjing Li, and Liu Yun. "Application of Flexible Budget Based on Company Profit Model: Taking VK's Financial Data as an Example." Asian Business Research 7, no. 2 (2022): 88. http://dx.doi.org/10.20849/abr.v7i2.1069.

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There are many types of budgeting, and budgeting based on profit models is rare. This paper combines financial big data with management accounting methods to build a profit model in financial big data; and uses model data as the basis and basis for preparing flexible budgets, making budget preparation and execution more scientific and feasible; The company’s budget preparation method has been introduced; more importantly, financial accounting and management accounting are integrated, and the forecasting and budgeting functions of management accounting applications are really brought into play
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20

Cepparulo, Alessandra, Francesca Gastaldi, Luisa Giuriato, and Agnese Sacchi. "Budgeting and implementing fiscal policy in Italy." Journal of Public Policy 34, no. 3 (2014): 475–506. http://dx.doi.org/10.1017/s0143814x14000105.

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AbstractForecast errors in budgetary variables are frequent. When systematic, they are a source of concern, as they signal misconduct in fiscal policymaking, undermine the government’s credibility and compromise long-term fiscal sustainability. This paper analyses the characteristics of fiscal forecasting and implementation errors in Italy usingreal-timedata over the period 1998–2009. Several empirical methods are applied in order to identify the features of policymakers’ behaviour in preparing and implementing annual fiscal policy and to discover potential determinants in the formation of the
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21

THIYAGARAJAN, VIKRAMRAJKUMAR. "Predictive Modeling for Revenue Forecasting in Oracle EPBCS: A Machine Learning Perspective." Predictive Modeling for Revenue Forecasting in Oracle EPBCS: A Machine Learning Perspective 13, no. 4 (2024): 6239–45. https://doi.org/10.15680/IJIRSET.2024.1304462.

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Revenue forecasting is a critical function for organizations, facilitating strategic planning and informed decision-making. Traditional forecasting methods often fall short in capturing complex patterns within financial data. Oracle Enterprise Planning and Budgeting Cloud Service (EPBCS) offers robust planning and budgeting capabilities, yet its predictive accuracy can be significantly enhanced by integrating advanced machine learning (ML) techniques. This research investigates the incorporation of ML algorithms into EPBCS to improve revenue forecasting accuracy. We conduct a comprehensive lit
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22

Maliarchuk, Oleksiy. "DIGITALIZATION IN BUDGETING: HOW TECHNOLOGIES ARE CHANGING FINANCIAL PLANNING." Economic Discourse, no. 1-2 (June 30, 2024): 102–11. http://dx.doi.org/10.36742/2410-0919-2024-1-11.

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Introduction. In today's world, information technologies are fundamentally changing approaches to financial management. Technologies such as process automation, artificial intelligence, big data analytics, and blockchain are becoming integral parts of financial planning and budgeting. This ensures more accurate forecasting, efficient resource management, and increased transparency in financial operations. The implementation of digital technologies in budgeting allows organizations to quickly adapt to market changes, respond promptly to economic challenges, and reduce risks associated with fina
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23

Karpushenko, Mariia Yu, and Oleh O. Karpushenko. "The Features of Budgeting in IT Companies." Business Inform 12, no. 551 (2023): 271–77. http://dx.doi.org/10.32983/2222-4459-2023-12-271-277.

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Budgeting plays an important role in managing the finances of an IT company, as it allows you to plan and control costs, make informed financial decisions, and achieve your goals. The purpose of the study is to consider the features and problems faced by an IT company during budgeting, and to develop proposals for improving the budgeting process. The article draws attention to the consideration that budgeting is a tool for planning, control, optimization, forecasting, and ensuring financial stability. It is determined that budgeting can be an important tool for making strategic decisions, asse
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24

Teixeira, Ávila Éder, and Fully Roberto Miranda Pimentel. "Capital Budgeting: A Practical Guide for Applying the Zero-Based Budgeting Methodology to Expenditure Forecasting in Capital Budget Simulations." GECONTEC 13, no. 1 (2025): 130–38. https://doi.org/10.5281/zenodo.15511807.

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This article explores the application of Zero-Based Budgeting (ZBB) as an effective methodology for preparing capital budgets, removing reliance on historical data and fostering greater financial transparency and control. The research proposes a practical guide for ZBB implementation, highlighting its benefits in expenditure forecasting and resource allocation optimization. Key findings suggest that ZBB improves the accuracy of financial projections and reduces biases; however, its implementation faces challenges such as organizational resistance, managerial training needs, and the time requir
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Rodney, Chisembe, and P. Venkateswarlu. "A study on capital budgeting with reference to micro, Small and Medium Enterprises (MSMEs) - Lilongwe City, Malawi." i-manager's Journal on Economics & Commerce 4, no. 2 (2024): 60. http://dx.doi.org/10.26634/jecom.4.2.21048.

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Capital budgeting involves planning and controlling long-term and short-term investments in fixed assets. It requires investing cash now with the expectation of recovering it over more than a year. Evaluating these decisions means assessing the investment and its future cash flows, which come from added revenues, cost savings, or cost reductions. Most numbers used in these analyses are estimates. Capital investment decisions are crucial for organizations' strategic goals. This study explores the capital budgeting practices of MSMEs in Malawi by surveying ten manufacturing companies. Results sh
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Kara, Berat. "The Performance of Medium-Term Budgeting in Türkiye: An Analysis of Budget Forecasts." Yönetim ve Ekonomi Dergisi 31, no. 4 (2024): 659–76. https://doi.org/10.18657/yonveek.1521261.

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The accuracy of medium-term budgeting is crucial for sustainable financial management and strategic planning in both the public and private sectors. Realistic forecasts ensure the efficient allocation of resources, prevent unnecessary expenditures, and help maintain fiscal discipline. It is believed that, especially for developing countries, medium-term budgeting can establish long-term sustainable development. Motivated by this perspective, this study evaluates the success of medium-term budgeting in Türkiye based on medium-term forecasts of budget revenues and expenditures. Given that Türkiy
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Temchenko, A. "IMPROVING THE ENTERPRISE BUDGETING PROCESS ON BEYOND BUDGETING PRINCIPLES." Vìsnik Sumsʹkogo deržavnogo unìversitetu 2021, no. 4 (2021): 81–87. http://dx.doi.org/10.21272/1817-9215.2021.4-10.

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Today's market conditions require from the main subjects of the financial sphere more and more new approaches to the continuous conduct of their activities, first of all, improving the quality of services provided, ensuring the stability and stability of their business. However, given the constant scarcity of financial resources that the country can direct to the economic development of the state, special attention should be paid to improving the process of financial management. Therefore, today the activity of any business entity in conditions of constant competition, globalization of economi
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Balla, Srikanth, and Sanjay Kumar Bahl. "Conversational AI Agents for Sales Forecasting in Financial Enterprises." International Journal for Research Publication and Seminar 14, no. 5 (2023): 481–95. https://doi.org/10.36676/jrps.v14.i5.1660.

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Sales forecasting is an integral part of financial institution strategic planning that has implications for budgeting, inventories, and resource allocation. Traditional forecasting methods like time-series analysis and statistical modeling might not be able to encapsulate the nuances of modern market trends and changing consumer behavior. The advent of artificial intelligence and machine learning has opened up new avenues for designing forecasting models; however, the models tend to be technical in nature and lack intuitive interfaces for non-technical end-users. This research realizes a perti
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Giaccotto, Carmelo. "Cash Flow Modelling and Forecasting in Capital Budgeting Under Uncertainty." Decision Sciences 21, no. 4 (1990): 825–41. http://dx.doi.org/10.1111/j.1540-5915.1990.tb01252.x.

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30

Jain, Vineet, and Parth A. Kulkarni. "Integrating AI Techniques for Enhanced Financial Forecasting and Budgeting Strategies." International Journal of Economics and Management Studies 10, no. 09 (2023): 9–15. http://dx.doi.org/10.14445/23939125/ijems-v10i9p102.

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31

Gordeev, Arthur D., and Elena V. Karanina. "METHODOLOGICAL FOUNDATIONS OF BUILDING A COMPANY’S BUDGETING MODEL." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 7/1, no. 148 (2024): 294–307. http://dx.doi.org/10.36871/ek.up.p.r.2024.07.01.030.

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The basis for building various models, including budgeting, is the accuracy of hypotheses and assumptions, on the basis of which the model will be built. To the extent that the developer of the financial model, together with the company’s management, understands the situation inside and around the company, the forecasting results will be so accurate. The methodology is determined on the basis of a set of widely used statistical methods. The main purpose of the article is to show, using the example of a conventional manufacturing enterprise, a model-scheme for building and calculating budgets b
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32

Baumeister, Alexander, and Markus Ilg. "Activity Driven Budgeting of Software Projects." International Journal of Human Capital and Information Technology Professionals 1, no. 4 (2010): 14–30. http://dx.doi.org/10.4018/jhcitp.2010100102.

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There are numerous forecast models of software development costs, however, various problems become apparent in context to practical application. Standardized methods, such as COCOMO II have to be calibrated at an individual operational level on the basis of the underlying database. This paper presents a new activity based approach that is based on business specific cost data that can be easily integrated into existing management accounting systems. This approach can be applied to software development projects based on the unified process in which activity driven budgeting promises several adva
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33

Titilayo Deborah Olorunyomi, Ifeanyi Chukwunonso Okeke, Temitope Oluwafunmike Sanyaolu, and Adams Gbolahan Adeleke. "Streamlining budgeting and forecasting across multi-cloud environments with dynamic financial models." Finance & Accounting Research Journal 6, no. 10 (2024): 1881–92. http://dx.doi.org/10.51594/farj.v6i10.1643.

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This review paper explores the complexities of financial management in multi-cloud environments, emphasizing the need for streamlined budgeting and forecasting processes. It begins by addressing the challenges inherent in managing finances across multiple cloud platforms, such as integration difficulties, data silos, and cost management issues. The paper then provides an overview of dynamic financial models, detailing their components and benefits in overcoming these challenges. It highlights the role of automation, real-time data utilization, and predictive analytics in enhancing financial ac
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Rahma K. Andamen,. "Planning Strategies Of Nurse Administrators And Quality Healthcare Service Delivery In The Bangsamoro Autonomous Region In Muslim Mindanao." Communications on Applied Nonlinear Analysis 32, no. 9s (2025): 3163–69. https://doi.org/10.52783/cana.v32.4670.

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The study determined the planning strategies of nurse administrators in the public hospitals in the Bangsamoro Autonomous Region in Muslim Mindanao using mixed method of research that combines survey and interview in data gathering. The respondents of the study were the 142 head nurses and nurse administrators who were working at Cotabato Regional and Medical Center, Cotabato Sanitarium Hospital and Maguindanao Provincial Hospital for calendar year 2023. The result of the study revealed that the extent of effectiveness of planning strategies of nurse administrators in terms of forecasting, bud
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Yan, Xing, and Nurul A. Chowdhury. "Midterm Electricity Market Clearing Price Forecasting Using Two-Stage Multiple Support Vector Machine." Journal of Energy 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/384528.

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Currently, there are many techniques available for short-term forecasting of the electricity market clearing price (MCP), but very little work has been done in the area of midterm forecasting of the electricity MCP. The midterm forecasting of the electricity MCP is essential for maintenance scheduling, planning, bilateral contracting, resources reallocation, and budgeting. A two-stage multiple support vector machine (SVM) based midterm forecasting model of the electricity MCP is proposed in this paper. The first stage is utilized to separate the input data into corresponding price zones by usi
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Shol, Vladimir V., Diana D. Goncharova, Victoria V. Bondareva, and Aleksandra N. Oleynik. "THE IMPORTANCE OF ANALYZING CALCULATIONS IN AN ORGANIZATION." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 12/2, no. 141 (2023): 145–52. http://dx.doi.org/10.36871/ek.up.p.r.2023.12.02.018.

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The article examines the importance of analyzing calculations for determining the financial condition of an organization, identifying potential problems and deficiencies in the management of financial resources. The need to use calculation analysis in the planning and budgeting process, as well as in forecasting and monitoring financial results is emphasized.
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Steed, Emmett, and Zheng Gu. "Hotel management company forecasting and budgeting practices: a survey‐based analysis." International Journal of Contemporary Hospitality Management 21, no. 6 (2009): 676–97. http://dx.doi.org/10.1108/09596110910975954.

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38

Soares, João Oliveira, Maria Cristina Coutinho, and Carlos V. Martins. "Forecasting Errors in Capital Budgeting: A Multi-Firm Post-Audit Study." Engineering Economist 52, no. 1 (2007): 21–39. http://dx.doi.org/10.1080/00137910601159771.

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Williams, Daniel W., and Thad D. Calabrese. "The Status of Budget Forecasting." Journal of Public and Nonprofit Affairs 2, no. 2 (2016): 127. http://dx.doi.org/10.20899/jpna.2.2.127-160.

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This article examines the breadth of the current forecast literature as it relates to public budget making. It serves to provide summary information to decision-makers who otherwise do not have the resources to learn more than a small amount focused on much more narrowly defined areas of forecasting (such as the politics of forecast bias). Next, it serves those who perform forecasting related to budgeting by reviewing the current methods and practices commonly used in this domain. It also provides a ground level for future public budget forecasting research. Finally, this article identifies se
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Jha, Ritambhara. "Analysis of Forecasting Models using MS Excel versus Machine Learning Models." Journal of Mathematical & Computer Applications 1, no. 4 (2022): 1–3. http://dx.doi.org/10.47363/jmca/2022(1)110.

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Forecasting foresees trends and possibilities that your company can capitalize on in the future. This is a process used by both old and new businesses to affect company choices such as budgeting, hiring, and overall business practices. Usage of excel and machine learning techniques for forecasting comes with its set of pros and cons which we will uncover in the following sections. To handle risk, maximize resource allocation, and make informed strategic decisions, the banking sector depends largely on precise forecasting. The strengths and limits of MS Excel and ML models are contrasted in thi
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Basha, Mr Md Chan. "Personal Finance Management." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem50574.

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Abstract - Effective personal finance management is essential for individuals seeking to achieve financial stability, control expenditures, and meet long-term goals. This paper presents the development of a personal finance management system designed to assist users in tracking income, expenses, and savings through an intuitive digital platform. The methodology involves implementing a structured database, automated categorization of transactions, and interactive dashboards for financial visualization. The system incorporates budgeting tools, alerts for overspending, and goal-setting features t
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Hefri Yodiansyah and Debby Kurniadi. "Pendekatan Melalui Evolusi Konteks Relasi Media Sebagai Lensa Media Sosial Dalam 'Business Budgeting on the Method Perspective'." JISHUM Jurnal Ilmu Sosial dan Humaniora 1, no. 2 (2022): 201–16. http://dx.doi.org/10.57248/jishum.v1i2.64.

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The social context in social media is determined by 'Business Budgeting on the Method Perspective' study of identifying problems at the level of social information services, through cost budgeting efforts in the context of rising inflation and elements of geopolitical instability manifested by buying and selling recession and social insecurity, especially for low-income residents. The purpose of this finding is to identify the problems of the current situation affecting the social status of citizens and the prospects for exploiting the costs of their evolution by introducing a quality index of
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Кроер, Е. В. "ФУНКЦИИ И ПРИНЦИПЫ БЮДЖЕТИРОВАНИЯ В СИСТЕМЕ УПРАВЛЕНИЯ ОРГАНИЗАЦИЕЙ". Vestnik of Russian New University. Series "Man and society", № 4 (30 жовтня 2024): 34–44. https://doi.org/10.18137/rnu.v9276.24.04.p.034.

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В статье рассмотрены основные цели и задачи бюджетирования, соотношение таких понятий, как «бюджет» и «бюджетирование». Систематизированы и дополнены функции и принципы бюджетирования, а также установлена их взаимосвязь с функциями управления и финансового планирования. Показано, что на стадии внедрения и организации системы бюджетирования особое место принадлежит принципам ориентации системы бюджетирования на финансовую структуру, обеспечения единства бюджетных форм, пригодности информации бюджетов для принятия управленческих решений, интегрированности с информационными технологиями. Эффектив
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Ravitilova, Ravitilova, Devi Amelia, Ilham Saputra, and Rinda Rinda. "Forecasting Sales: A Comprehensive Analysis of Forecasting Techniques for Sales Budget Determination." Jurnal Audit, Pajak, Akuntansi Publik (AJIB) 2, no. 2 (2023): 97. http://dx.doi.org/10.32897/ajib.2023.2.2.3217.

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This research endeavors to employ sales forecasting techniques on historical sales data for the purpose of determining the sales budget. The application of forecasting is based on sales data from the preceding period, utilizing a descriptive qualitative method. The analysis employs the half-average trend method, generating an estimated sales figure for the upcoming period. This estimate serves as a reference for both inventory planning and the formulation of the sales budget. Within this research, the half-average trend method involves the selection of two X parameter values, namely 0.5 and 0.
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Sviatenko, Serhii. "The Influence of State Monetary Policy on the Effectiveness of Marketing Forecasting of Enterprise Development." Oblik i finansi, no. 2(108) (2025): 89–94. https://doi.org/10.33146/2307-9878-2025-2(108)-89-94.

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In an unstable macroeconomic environment (in particular, under the influence of inflation, interest rate fluctuations, devaluation and changes in the money supply), the marketing strategies of enterprises are becoming increasingly vulnerable to external risks. Insufficient integration of macroeconomic factors into marketing forecasting reduces forecasts' accuracy, complicating budgeting and making informed management decisions. The purpose of the article is to determine the mechanisms of influence of monetary policy on the effectiveness of marketing forecasting of enterprise development, as we
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Nurpeissova, A. A., Zh M. Dyussembekova, and A. D. Issayeva. "DESIGN AND IMPLEMENTATION OF AN AUTOMATED BUDGETING SYSTEM AT A MINING ENTERPRISE: THE CASE OF RG GOLD LLP." Central Asian Economic Review, no. 5 (January 20, 2024): 6–21. http://dx.doi.org/10.52821/2789-4401-2023-5-6-21.

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This article is aimed to investigate the process of designing and implementing an automated budgeting system at a mining enterprise in order to provide an overview of methods, tools and stages of implementation, as well as an analysis of the advantages and practical examples of using this system.The purpose of the research is to identify the features of the budget process and develop recommendations for the successful implementation of an automated budgeting system to improve fi nancial management and increase the effi ciency of a mining enterprise.Methodology. The following scientifi c method
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Theresa, Noviani, and Yuniarto Ahmad. "Application of Business Process Re-engineering in Enhancing Budgeting Process of PT Insurance Indonesia." International Journal of Current Science Research and Review 05, no. 09 (2022): 3502–10. https://doi.org/10.5281/zenodo.7070496.

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<strong>ABSTRACT: </strong>In the era of competition, understanding the position of the company is crucial in order to be able to set the strategy to strengthen and increase the position in the competitive market. It is important to have a strong budgeting and forecasting process to establish the target to be achieved which then set as the basis to plan the business strategy in more detail. Budgeting provides guidance, direction and target for the company to achieve within a period of time. However, it is no doubt that the budgeting process has been painful, taking much effort and time, that h
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Ajiga, David Iyanuoluwa, Oladimeji Hamza, Adeoluwa Eweje, Eseoghene Kokogho, and Princess Eloho Odio. "Evaluating Agile's Impact on IT Financial Planning and Project Management Efficiency." International Journal of Management and Organizational Research 3, no. 1 (2024): 70–77. https://doi.org/10.54660/ijmor.2024.3.1.70-77.

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This review paper explores the impact of Agile methodology on IT financial planning and project management efficiency. Agile has become a widely adopted framework in the IT sector because it can enhance project delivery timelines, improve scope management, and foster stakeholder engagement. However, the integration of Agile with traditional financial processes presents challenges, particularly in budgeting and financial forecasting. The paper examines the barriers to aligning Agile’s iterative approach with fixed financial models and discusses best practices, such as rolling-wave budgeting and
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Lloyd, Shannon M., Ketra A. Schmitt, Nicholas M. Rotteveel, Timothy B. Schwartz, and Cameron Stanley. "Impact of Consumption and Cost Forecasting on United States Defense Fuel Budgeting." Public Budgeting & Finance 35, no. 1 (2015): 116–40. http://dx.doi.org/10.1111/pbaf.12057.

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Hari Santoso Wibowo, Muh Syahril Sidik Ibrahim, Ibnu Nafi Ahmad, and Muhammad Fuzail. "The Practice Of Programme-Based Budgeting: A Case Study Of A Mosque In Surabaya." Involvement International Journal of Business 1, no. 3 (2024): 246–57. http://dx.doi.org/10.62569/iijb.v1i3.44.

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This research article delves into the budget planning process at the Ar-Rahmah Mosque in Surabaya, employing a qualitative case study approach. Data was gathered through interviews with key mosque administrators, including the director, treasurer, and department heads. The findings reveal that the Ar-Rahmah Mosque adopts a bottom-up, program-based budgeting method. This process encompasses the preparation and ratification stages of the budget, with careful consideration of revenue and expense forecasting, as well as budget approval. The study highlights that this approach facilitates a more in
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